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Feng WL, Yang JL, Xu LG, Zhang GL. The spatial variations and driving factors of C, N, P stoichiometric characteristics of plant and soil in the terrestrial ecosystem. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 951:175543. [PMID: 39153619 DOI: 10.1016/j.scitotenv.2024.175543] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/07/2024] [Revised: 07/30/2024] [Accepted: 08/13/2024] [Indexed: 08/19/2024]
Abstract
Carbon(C), nitrogen(N), and phosphorus(P) are crucial elements in the element cycling in the terrestrial ecosystems. In the past decades, the spatial patterns and driving mechanisms of plant and soil ecological stoichiometry have been hot topics in ecological geography. So far, many studies at different spatial and ecological scales have been conducted, but systematic review has not been reported to summarize the research status. In this paper, we tried to fill this gap by reviewing both the spatial variations and driving factors of C, N, P stoichiometric characteristics of plant and soil at regional to large scale. Additionally, we synthesized researches on the relationships between plant and soil C, N and P stoichiometric characteristics. At the global scale, plant C, N, P stoichiometric characteristics exhibited some trends along latitude and temperature gradient. Plant taxonomic classification was the main factor controlling the spatial variations of plant C, N and P stoichiometric characteristics. Climate factor and soil properties showed varying impacts on the spatial variations of plant C, N, P stoichiometric characteristics across different spatial scales. Soil C, N, P stoichiometric characteristics also varied along climate gradient at large scale. Their spatial variations resulted from the combined effects of climate, topography, soil properties, and vegetation characteristics at regional scale. The spatial pattern of soil C, N, P stoichiometric characteristics and the driving effects from environmental factors could be notably different among different ecosystems and vegetation types. Plant C:N:P was obviously higher than that of soil, and there existed a positive correlation between plant and soil C:N:P. Their trends along longitude and latitude were similar, but this correlation varied significantly among different vegetation types. Finally, based on the issues identified in this paper, we highlighted eight potential research themes for the future studies.
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Affiliation(s)
- Wen-Lan Feng
- State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China
| | - Jin-Ling Yang
- State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Li-Gang Xu
- University of Chinese Academy of Sciences, Beijing 100049, China; Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China
| | - Gan-Lin Zhang
- State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China; University of Chinese Academy of Sciences, Beijing 100049, China; Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China.
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2
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Guo C, Hu Y, Qin J, Wu D, Leng H, Wang H. Adaptive strategies in architecture and allocation for the asymmetric growth of camphor tree (Cinnamomum camphora L.). Sci Rep 2024; 14:22604. [PMID: 39349553 PMCID: PMC11442443 DOI: 10.1038/s41598-024-72732-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2024] [Accepted: 09/10/2024] [Indexed: 10/02/2024] Open
Abstract
The stability-related asymmetry in roots, trunk, and crown is always found as a typical effect of biomechanical design under heterogeneous stimulus environment. However, it appears to be a conflict between the biomechanical principle and the source-sink distance of nutrient allocation strategies when the orientational asymmetry occurs. Adaptive growth strategies associated with biomass and nutrient allocation remain to be explored. This study used both the minirhizotron and harvest methods to test the effect of trunk inclination of camphor trees (Cinnamomum camphora) and found that the asymmetry coefficient of root biomass was - 0.29, showing more root biomass distributed on the other side of trunk inclination. This side had larger surface area and volume of fine roots, the smaller in diameter and the larger in length of the first level roots, higher leaf total nitrogen (TN) and slightly higher root TN content, higher activities of antioxidant enzymes SOD, POD, and CAT in leaves, and lower soluble sugar and protein. The biomass, morphological and physiological characteristics suggest that trees may follow both the biomechanical design and source-sink distance of nutrient allocation strategies. The research results expand the connotation of root-shoot balance in the orientational allocation of biomass and physiological responses.
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Affiliation(s)
- Chenbing Guo
- Shanghai Collaborative Innovation Center of Plant Germplasm Resources Development, College of Life Sciences, Shanghai Normal University, No. 100 Guilin Road, Xuhui District, Shanghai, 200234, China
| | - Yonghong Hu
- Shanghai Chenshan Botanical Garden, No. 3888 Chenhua Road, Songjiang District, Shanghai, 201602, China
- Shanghai Chenshan Plant Science Research Center, Chinese Academy of Sciences, No. 3888 Chenhua Road, Songjiang District, Shanghai, 201602, China
| | - Jun Qin
- Shanghai Chenshan Botanical Garden, No. 3888 Chenhua Road, Songjiang District, Shanghai, 201602, China
| | - Duorun Wu
- Shanghai Collaborative Innovation Center of Plant Germplasm Resources Development, College of Life Sciences, Shanghai Normal University, No. 100 Guilin Road, Xuhui District, Shanghai, 200234, China
| | - Hanbing Leng
- Shanghai Botanical Garden, No. 1111 Longwu Road, Xuhui District, Shanghai, 200231, China
| | - Hongbing Wang
- Shanghai Collaborative Innovation Center of Plant Germplasm Resources Development, College of Life Sciences, Shanghai Normal University, No. 100 Guilin Road, Xuhui District, Shanghai, 200234, China.
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Wang X, Wang L, Li W, Li Y, An Y, Wu H, Guo Y. Effects of plant nutrient acquisition strategies on biomass allocation patterns in wetlands along successional sequences in the semi-arid upper Yellow River basin. FRONTIERS IN PLANT SCIENCE 2024; 15:1441567. [PMID: 39290726 PMCID: PMC11406506 DOI: 10.3389/fpls.2024.1441567] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/31/2024] [Accepted: 08/09/2024] [Indexed: 09/19/2024]
Abstract
The ecological environment of wetlands in semi-arid regions has deteriorated, and vegetation succession has accelerated due to climate warming-induced aridification and human interference. The nutrient acquisition strategies and biomass allocation patterns reflect plant growth strategies in response to environmental changes. However, the impact of nutrient acquisition strategies on biomass allocation in successional vegetation remains unclear. We investigated 87 plant communities from 13 wetland sites in the semi-arid upper Yellow River basin. These communities were divided into three successional sequences: the herbaceous community (HC), the herbaceous-shrub mixed community (HSC), and the shrub community (SC). The nutrient composition of stems and leaves, as well as the biomass distribution above and belowground, were investigated. Results revealed that aboveground biomass increased with succession while belowground biomass decreased. Specifically, SC exhibited the highest stem biomass of 1,194.53 g m-2, while HC had the highest belowground biomass of 2,054.37 g m-2. Additionally, significant positive correlations were observed between leaf and stem biomasses in both HC and SC. The nitrogen (N) and phosphorus (P) contents within aboveground parts displayed an evident upward trend along the succession sequence. The highest N and P contents were found in SC, followed by HSC, and the lowest in HC. Stem N was negatively correlated with stem, leaf, and belowground biomass but positively correlated with root-shoot ratio. Leaf P displayed positive correlations with aboveground biomass while showing negative correlations with belowground biomass and root-shoot ratio. The ratios of C:N, C:P, and N:P in stem and leaf exhibited positive correlations with belowground biomass. The random forest model further demonstrated that stem N and leaf P exerted significant effects on aboveground biomass, while leaf P, stem N and P, and leaf C:P ratio had significant effects on belowground components. Additionally, the root-shoot ratio was significantly influenced by leaf P, leaf C:P ratio, and stem N, P, and C:P ratio. Therefore, the aboveground and belowground biomasses exhibited asynchronism across successional sequences, while plant nutrient acquisition strategies, involving nutrient levels and stoichiometric ratios, determined the biomass allocation pattern. This study offers valuable insights for assessing vegetation adaptability and formulating restoration plans in the semi-arid upper Yellow River basin.
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Affiliation(s)
- Xuan Wang
- State Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Le Wang
- State Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, China
| | - Weimin Li
- State Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, China
| | - Yifan Li
- State Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Yu An
- State Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, China
| | - Haitao Wu
- State Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, China
| | - Yue Guo
- Wetland Protection and Management Office of Jilin Province, Changchun, China
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Doby JR, Siniscalchi CM, Pajuelo M, Krigbaum J, Soltis DE, Guralnick RP, Folk RA. Elemental and isotopic analysis of leaves predicts nitrogen-fixing phenotypes. Sci Rep 2024; 14:20065. [PMID: 39209870 PMCID: PMC11362558 DOI: 10.1038/s41598-024-70412-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2023] [Accepted: 08/16/2024] [Indexed: 09/04/2024] Open
Abstract
Nitrogen (N)-fixing symbiosis is critical to terrestrial ecosystems, yet possession of this trait is known for few plant species. Broader presence of the symbiosis is often indirectly determined by phylogenetic relatedness to taxa investigated via manipulative experiments. This data gap may ultimately underestimate phylogenetic, spatial, and temporal variation in N-fixing symbiosis. Still needed are simpler field or collections-based approaches for inferring symbiotic status. N-fixing plants differ from non-N-fixing plants in elemental and isotopic composition, but previous investigations have not tested predictive accuracy using such proxies. Here we develop a regional field study and demonstrate a simple classification model for fixer status using nitrogen and carbon content measurements, and stable isotope ratios (δ15N and δ13C), from field-collected leaves. We used mixed models and classification approaches to demonstrate that N-fixing phenotypes can be used to predict symbiotic status; the best model required all predictors and was 80-94% accurate. Predictions were robust to environmental context variation, but we identified significant variation due to native vs. non-native (exotic) status and phylogenetic affinity. Surprisingly, N content-not δ15N-was the strongest predictor, suggesting that future efforts combine elemental and isotopic information. These results are valuable for understudied taxa and ecosystems, potentially allowing higher-throughput field-based N-fixer assessments.
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Affiliation(s)
- Joshua R Doby
- Florida Museum of Natural History, University of Florida, Gainesville, FL, 32611, USA.
- Department of Biology, University of Florida, Gainesville, FL, 32611, USA.
| | | | - Mariela Pajuelo
- Florida Museum of Natural History, University of Florida, Gainesville, FL, 32611, USA
- Thompson Earth Systems Institute, University of Florida, Gainesville, FL, 32611, USA
| | - John Krigbaum
- Department of Anthropology, University of Florida, Gainesville, FL, 32611, USA
| | - Douglas E Soltis
- Florida Museum of Natural History, University of Florida, Gainesville, FL, 32611, USA
- Department of Biology, University of Florida, Gainesville, FL, 32611, USA
- Biodiversity Institute, University of Florida, Gainesville, FL, 32611, USA
| | - Robert P Guralnick
- Florida Museum of Natural History, University of Florida, Gainesville, FL, 32611, USA.
- Department of Biology, University of Florida, Gainesville, FL, 32611, USA.
- Biodiversity Institute, University of Florida, Gainesville, FL, 32611, USA.
| | - Ryan A Folk
- Department of Biological Sciences, Mississippi State University, Mississippi State, MS, 39762, USA.
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Jiang D, Gong H, Niklas KJ, Wang Z. Allocation of nitrogen and phosphorus in the leaves, stems, and roots of Artemisia: a case study in phylogenetic control. FRONTIERS IN PLANT SCIENCE 2024; 15:1445831. [PMID: 39228835 PMCID: PMC11368724 DOI: 10.3389/fpls.2024.1445831] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/08/2024] [Accepted: 08/02/2024] [Indexed: 09/05/2024]
Abstract
Introduction The allocation of nitrogen (N) and phosphorus (P) among plant organs is an important strategy affecting growth and development as well as ecological processes in terrestrial ecosystems. However, due to lack of systematic investigation data, the allocation strategies of N and P in the three primary plant organs (e.g., leaves, stems and roots) are still unclear. Methods A total of 912 individuals of 62 Artemisia species were examined across a broad environmental expanse in China, and the N and P concentrations of leaves, stems and roots were measured to explore the allocation strategies in different subgenera, ecosystem types, and local sites. Results and discussion Across all 62 species, the N vs. P scaling exponents for leaves, stems and roots were 0.67, 0.59 and 0.67, respectively. However, these numerical values differed among subgenera, ecosystem types, and local sites. Overall, the numerical values of N vs. P scaling exponents comply with a 2/3-power function for each Artemisia organ-type reflecting a phylogenetically conserved allocation strategy that has nevertheless diversified with respect to local environmental conditions. These results inform our understanding of N and P stoichiometric patterns and responses to abiotic factors in an ecologically broadly distributed angiosperm genus.
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Affiliation(s)
- Dechun Jiang
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, China
| | - Haiyang Gong
- Sichuan Zoige Alpine Wetland Ecosystem National Observation and Research Station, Southwest Minzu University, Chengdu, China
- College of Grassland Resources, Southwest Minzu University, Chengdu, China
| | - Karl J. Niklas
- School of Integrative Plant Science, Cornell University, Ithaca, NY, United States
| | - Zhiqiang Wang
- Sichuan Zoige Alpine Wetland Ecosystem National Observation and Research Station, Southwest Minzu University, Chengdu, China
- College of Grassland Resources, Southwest Minzu University, Chengdu, China
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Du Z, Wang S, Xing W, Xue L, Xiao J, Chen G. Plant traits regulated metal(loid)s in dominant herbs in an antimony mining area of the karst zone, China. Ecol Evol 2024; 14:e70212. [PMID: 39184569 PMCID: PMC11343610 DOI: 10.1002/ece3.70212] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2024] [Revised: 08/03/2024] [Accepted: 08/09/2024] [Indexed: 08/27/2024] Open
Abstract
Understanding how plant functional traits respond to mining activities and impact metal(loid)s accumulation in dominant species is crucial for exploring the driving mechanisms behind plant community succession and predicting the ecological restoration potential of these plants. In this study, we investigated four dominant herbaceous species (Artemisia argyi, Miscanthus sinensis, Ficus tikoua, and Ageratina adenophora) growing on antimony (Sb) mining sites (MS) with high Sb and arsenic (As) levels, as well as non-mining sites (NMS). The aim was to analyze the variations in functional traits and their contribution to Sb and As concentrations in plants. Our results indicate that mining activities enhanced soil nitrogen (N) limitation and phosphorus (P) enrichment, while significantly reducing the plant height of three species, except for F. tikoua. The four species absorbed more calcium (Ca) to ensure higher tolerance to Sb and As levels, which is related to the activation of Ca signaling pathways and defense mechanisms. Furthermore, plant Sb and As concentrations were dependent on soil metal(loid) levels and plant element stoichiometry. Overall, these findings highlight the regulatory role of plant element traits in metal(loid) concentrations, warranting widespread attention and further study in the future.
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Affiliation(s)
- Zhongyu Du
- Research Institute of Subtropical ForestryChinese Academy of ForestryHangzhouChina
| | - Shufeng Wang
- Research Institute of Subtropical ForestryChinese Academy of ForestryHangzhouChina
| | - Wenli Xing
- Research Institute of Subtropical ForestryChinese Academy of ForestryHangzhouChina
| | - Liang Xue
- Research Institute of Subtropical ForestryChinese Academy of ForestryHangzhouChina
| | - Jiang Xiao
- Research Institute of Subtropical ForestryChinese Academy of ForestryHangzhouChina
| | - Guangcai Chen
- Research Institute of Subtropical ForestryChinese Academy of ForestryHangzhouChina
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Wang Y, Guo T, Liu Q, Hu Z, Tian C, Hu M, Mai W. The Relationship between Allometric Growth and the Stoichiometric Characteristics of Euhalophyte Suaeda salsa L. Grown in Saline-Alkali Lands: Biological Desalination Potential Prediction. PLANTS (BASEL, SWITZERLAND) 2024; 13:1954. [PMID: 39065481 PMCID: PMC11280733 DOI: 10.3390/plants13141954] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/04/2024] [Revised: 07/03/2024] [Accepted: 07/15/2024] [Indexed: 07/28/2024]
Abstract
The morphological adjustments of euhalophytes are well-known to be influenced by the soil-soluble salt variation; however, whether and how these changes in morphological traits alter the biomass allocation pattern remains unclear, especially under different NaCl levels. Therefore, an allometric analysis was applied to investigate the biomass allocation pattern and morphological plasticity, and the carbon (C), nitrogen (N), and phosphorus (P) stoichiometric characteristics of the euhalophyte Suaeda Salsa (S. salsa) at the four soil-soluble salt levels of no salt (NS), light salt (LS), moderate salt (MS), and heavy salt (HS). The results showed that soil-soluble salts significantly change the biomass allocation to the stems and leaves (p < 0.05). With the growth of S. salsa, the NS treatment produced a downward leaf mass ratio (LMR) and upward stem mass ratio (SMR); this finding was completely different from that for the salt treatments. When S. salsa was harvested on the 100th day, the HS treatment had the highest LMR (61%) and the lowest SMR (31%), while the NS treatment was the opposite, with an LMR of 44% and an SMR of 50%. Meanwhile, the soil-soluble salt reshaped the morphological characteristics of S. salsa (e.g., root length, plant height, basal stem diameter, and leaf succulence). Combined with the stoichiometric characteristics, N uptake restriction under salt stress is a vital reason for inhibited stem growth. Although the NS treatment had the highest biomass (48.65 g root box-1), the LS treatment had the highest salt absorption (3.73 g root box-1). In conclusion, S. salsa can change its biomass allocation pattern through morphological adjustments to adapt to different saline-alkali habitats. Moreover, it has an optimal biological desalting effect in lightly saline soil dominated by NaCl.
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Affiliation(s)
- Yanyan Wang
- State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China; (Y.W.); (Q.L.); (C.T.); (M.H.)
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Tongkai Guo
- College of Water Resources and Civil Engineering, China Agricultural University, Beijing 100083, China;
| | - Qun Liu
- State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China; (Y.W.); (Q.L.); (C.T.); (M.H.)
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Zhonglin Hu
- Department of Production and Operation, Xinjiang Oilfield Company, Petrochina, Karamay 834000, China;
| | - Changyan Tian
- State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China; (Y.W.); (Q.L.); (C.T.); (M.H.)
| | - Mingfang Hu
- State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China; (Y.W.); (Q.L.); (C.T.); (M.H.)
| | - Wenxuan Mai
- State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China; (Y.W.); (Q.L.); (C.T.); (M.H.)
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Xu H, Shi Y, Chen C, Pang Z, Zhang G, Zhang W, Kan H. Arbuscular Mycorrhizal Fungi Selectively Promoted the Growth of Three Ecological Restoration Plants. PLANTS (BASEL, SWITZERLAND) 2024; 13:1678. [PMID: 38931110 PMCID: PMC11207293 DOI: 10.3390/plants13121678] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/06/2024] [Revised: 06/05/2024] [Accepted: 06/12/2024] [Indexed: 06/28/2024]
Abstract
Arbuscular mycorrhizal inoculation can promote plant growth, but specific research on the difference in the symbiosis effect of arbuscular mycorrhizal fungi and plant combination is not yet in-depth. Therefore, this study selected Medicago sativa L., Bromus inermis Leyss, and Festuca arundinacea Schreb., which were commonly used for restoring degraded land in China to inoculate with three AMF separately, to explore the effects of different AMF inoculation on the growth performance and nutrient absorption of different plants and to provide a scientific basis for the research and development of the combination of mycorrhiza and plants. We set up four treatments with inoculation Entrophospora etunicata (EE), Funneliformis mosseae (FM), Rhizophagus intraradices (RI), and non-inoculation. The main research findings are as follows: the three AMF formed a good symbiotic relationship with the three grassland plants, with RI and FM having more significant inoculation effects on plant height, biomass, and tiller number. Compared with C, the aboveground biomass of Medicago sativa L., Bromus inermis Leyss, and Festuca arundinacea Schreb. inoculated with AMF increased by 101.30-174.29%, 51.67-74.14%, and 110.67-174.67%. AMF inoculation enhanced the plant uptake of N, P, and K, and plant P and K contents were significantly correlated with plant biomass. PLS-PM analyses of three plants all showed that AMF inoculation increased plant nutrient uptake and then increased aboveground biomass and underground biomass by increasing plant height and root tillering. This study showed that RI was a more suitable AMF for combination with grassland degradation restoration grass species and proposed the potential mechanism of AMF-plant symbiosis to increase yield.
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Affiliation(s)
- Hengkang Xu
- Institute of Grassland, Flowers and Ecology, Beijing Academy of Agriculture and Forestry Sciences (BAAFS), No. 9 Shuguang Garden Middle Road, Haidian District, Beijing 100097, China; (H.X.); (C.C.); (Z.P.); (G.Z.); (W.Z.)
| | - Yuchuan Shi
- College of Grassland Science and Technology, China Agricultural University, Beijing 100107, China;
| | - Chao Chen
- Institute of Grassland, Flowers and Ecology, Beijing Academy of Agriculture and Forestry Sciences (BAAFS), No. 9 Shuguang Garden Middle Road, Haidian District, Beijing 100097, China; (H.X.); (C.C.); (Z.P.); (G.Z.); (W.Z.)
| | - Zhuo Pang
- Institute of Grassland, Flowers and Ecology, Beijing Academy of Agriculture and Forestry Sciences (BAAFS), No. 9 Shuguang Garden Middle Road, Haidian District, Beijing 100097, China; (H.X.); (C.C.); (Z.P.); (G.Z.); (W.Z.)
| | - Guofang Zhang
- Institute of Grassland, Flowers and Ecology, Beijing Academy of Agriculture and Forestry Sciences (BAAFS), No. 9 Shuguang Garden Middle Road, Haidian District, Beijing 100097, China; (H.X.); (C.C.); (Z.P.); (G.Z.); (W.Z.)
| | - Weiwei Zhang
- Institute of Grassland, Flowers and Ecology, Beijing Academy of Agriculture and Forestry Sciences (BAAFS), No. 9 Shuguang Garden Middle Road, Haidian District, Beijing 100097, China; (H.X.); (C.C.); (Z.P.); (G.Z.); (W.Z.)
| | - Haiming Kan
- Institute of Grassland, Flowers and Ecology, Beijing Academy of Agriculture and Forestry Sciences (BAAFS), No. 9 Shuguang Garden Middle Road, Haidian District, Beijing 100097, China; (H.X.); (C.C.); (Z.P.); (G.Z.); (W.Z.)
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Wu J, Jiao L, Che X, Zhu X, Yuan X. Nutrient allocation patterns of Picea crassifolia on the eastern margin of the Qinghai-Tibet Plateau. INTERNATIONAL JOURNAL OF BIOMETEOROLOGY 2024; 68:1155-1167. [PMID: 38499792 DOI: 10.1007/s00484-024-02655-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Revised: 03/02/2024] [Accepted: 03/11/2024] [Indexed: 03/20/2024]
Abstract
It can provide a basis for decision making for the conservation and sustainable use of forest ecosystems in mountains to understand the stoichiometric properties and nutrient allocation strategies of major tree species. However, the plant nutrient allocation strategies under different environmental gradients in forest systems of arid and semi-arid mountains are not fully understand. Therefore, three typical regions in the Qilian Mountains on the eastern edge of the Qinghai-Tibet Plateau were selected based on precipitation and temperature gradients, and the stoichiometric characteristics and nutrient allocation strategies of Qinghai spruce (Picea crassifolia) of the dominant tree species under different environmental gradients were investigated. The results showed that (1) the stoichiometric characteristics of plant tissues were different in the three regions. (2) The importance of each tissue in the plant nutrient allocation varied in different regions, showing that the plant roots are more important in the warm-wet region, while the plant leaves, branches and trunks are more important in the transition and hot-dry regions. (3) The influencing factors affecting plant nutrient allocation strategies were inconsistent across regions, which showed that plant nutrient allocation strategies in the warm-wet and transition region were mainly influenced by soil factors, while they were more influenced by climatic factors in the hot-dry region. The patterns of plant nutrient allocation strategies and drivers under different environmental gradients could help us better understand the ecological adaptation mechanism and physiological adjustment mechanism of forest ecosystem in mountains.
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Affiliation(s)
- Jingjing Wu
- College of Geography and Environmental Science, Northwest Normal University, No. 967, Anning East Road, Lanzhou, 730070, China
- Key Laboratory of Resource Environment and Sustainable Development of Oasis, Gansu Province, Northwest Normal University, Lanzhou, 730070, China
| | - Liang Jiao
- College of Geography and Environmental Science, Northwest Normal University, No. 967, Anning East Road, Lanzhou, 730070, China.
- Key Laboratory of Resource Environment and Sustainable Development of Oasis, Gansu Province, Northwest Normal University, Lanzhou, 730070, China.
| | - Xichen Che
- College of Geography and Environmental Science, Northwest Normal University, No. 967, Anning East Road, Lanzhou, 730070, China
- Key Laboratory of Resource Environment and Sustainable Development of Oasis, Gansu Province, Northwest Normal University, Lanzhou, 730070, China
| | - Xuli Zhu
- College of Geography and Environmental Science, Northwest Normal University, No. 967, Anning East Road, Lanzhou, 730070, China
- Key Laboratory of Resource Environment and Sustainable Development of Oasis, Gansu Province, Northwest Normal University, Lanzhou, 730070, China
| | - Xin Yuan
- College of Geography and Environmental Science, Northwest Normal University, No. 967, Anning East Road, Lanzhou, 730070, China
- Key Laboratory of Resource Environment and Sustainable Development of Oasis, Gansu Province, Northwest Normal University, Lanzhou, 730070, China
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Verboom GA, Slingsby JA, Cramer MD. Fire-modulated fluctuations in nutrient availability stimulate biome-scale floristic turnover in time, and elevated species richness, in low-nutrient fynbos heathland. ANNALS OF BOTANY 2024; 133:819-832. [PMID: 38150535 PMCID: PMC11082518 DOI: 10.1093/aob/mcad199] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Accepted: 12/26/2023] [Indexed: 12/29/2023]
Abstract
BACKGROUND AND AIMS In many systems, postfire vegetation recovery is characterized by temporal changes in plant species composition and richness. We attribute this to changes in resource availability with time since fire, with the magnitude of species turnover determined by the degree of resource limitation. Here, we test the hypothesis that postfire species turnover in South African fynbos heathland is powered by fire-modulated changes in nutrient availability, with the magnitude of turnover in nutrient-constrained fynbos being greater than in fertile renosterveld shrubland. We also test the hypothesis that floristic overlaps between fynbos and renosterveld are attributable to nutritional augmentation of fynbos soils immediately after fire. METHODS We use vegetation survey data from two sites on the Cape Peninsula to compare changes in species richness and composition with time since fire. KEY RESULTS Fynbos communities display a clear decline in species richness with time since fire, whereas no such decline is apparent in renosterveld. In fynbos, declining species richness is associated with declines in the richness of plant families having high foliar concentrations of nitrogen, phosphorus and potassium and possessing attributes that are nutritionally costly. In contrast, families that dominate late-succession fynbos possess adaptations for the acquisition and retention of sparse nutrients. At the family level, recently burnt fynbos is compositionally more similar to renosterveld than is mature fynbos. CONCLUSIONS Our data suggest that nutritionally driven species turnover contributes significantly to fynbos community richness. We propose that the extremely low baseline fertility of fynbos soils serves to lengthen the nutritional resource axis along which species can differentiate and coexist, thereby providing the opportunity for low-nutrient extremophiles to coexist spatially with species adapted to more fertile soil. This mechanism has the potential to operate in any resource-constrained system in which episodic disturbance affects resource availability.
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Affiliation(s)
- G Anthony Verboom
- Bolus Herbarium, University of Cape Town, Private Bag X3, Rondebosch, 7701, South Africa
- Department of Biological Sciences, University of Cape Town, Private Bag X3, Rondebosch, 7701, South Africa
| | - Jasper A Slingsby
- Department of Biological Sciences, University of Cape Town, Private Bag X3, Rondebosch, 7701, South Africa
- Centre for Statistics in Ecology, Environment and Conservation, University of Cape Town, Private Bag X3, Rondebosch, 7701, South Africa
- Fynbos Node, South African Environmental Observation Network (SAEON), Cape Town, South Africa
| | - Michael D Cramer
- Department of Biological Sciences, University of Cape Town, Private Bag X3, Rondebosch, 7701, South Africa
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11
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Núñez CL, Clark JS, Poulsen JR. Disturbance sensitivity shapes patterns of tree species distribution in Afrotropical lowland rainforests more than climate or soil. Ecol Evol 2024; 14:e11329. [PMID: 38698930 PMCID: PMC11063613 DOI: 10.1002/ece3.11329] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Revised: 02/20/2024] [Accepted: 04/07/2024] [Indexed: 05/05/2024] Open
Abstract
Understanding how tropical forests respond to abiotic environmental changes is critical for preserving biodiversity, mitigating climate change, and maintaining ecosystem services in the coming century. To evaluate the relative roles of the abiotic environment and human disturbance on Central African tree community composition, we employ tree inventory data, remotely sensed climatic data, and soil nutrient data collected from 30 1-ha plots distributed across a large-scale observational experiment in forests that had been differently impacted by logging and hunting in northern Republic of Congo. We show that the composition of Afrotropical plant communities at this scale responds to human disturbance more than to climate, with particular sensitivities to hunting and distance to the nearest village (a proxy for other human activities, including tree-cutting and gathering). These findings contrast neotropical predictions, highlighting the unique ecological, evolutionary, and anthropogenic history of Afrotropical forests.
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Affiliation(s)
- Chase L. Núñez
- Department for the Ecology of Animal SocietiesMax Planck Institute of Animal BehaviorKonstanzGermany
- Centre for the Advanced Study of Collective BehaviourUniversity of KonstanzKonstanzGermany
- Department of BiologyUniversity of KonstanzKonstanzGermany
- University Program in EcologyDuke UniversityDurhamNorth CarolinaUSA
- Nicholas School of the EnvironmentDuke UniversityDurhamNorth CarolinaUSA
| | - James S. Clark
- University Program in EcologyDuke UniversityDurhamNorth CarolinaUSA
- Nicholas School of the EnvironmentDuke UniversityDurhamNorth CarolinaUSA
| | - John R. Poulsen
- University Program in EcologyDuke UniversityDurhamNorth CarolinaUSA
- Nicholas School of the EnvironmentDuke UniversityDurhamNorth CarolinaUSA
- The Nature ConservancyBoulderColoradoUSA
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12
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He D, Liu XY, Zheng LT. Sex-specific scaling of leaf phosphorus vs. nitrogen under unequal reproductive requirements in Eurya japonica, a dioecious plant. AMERICAN JOURNAL OF BOTANY 2024; 111:e16311. [PMID: 38571288 DOI: 10.1002/ajb2.16311] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Revised: 01/30/2024] [Accepted: 01/31/2024] [Indexed: 04/05/2024]
Abstract
PREMISE Previous work searching for sexual dimorphism has largely relied on the comparison of trait mean vectors between sexes in dioecious plants. Whether trait scaling (i.e., the ratio of proportional changes in covarying traits) differs between sexes, along with its functional significance, remains unclear. METHODS We measured 10 vegetative traits pertaining to carbon, water, and nutrient economics across 337 individuals (157 males and 180 females) of the diocious species Eurya japonica during the fruiting season in eastern China. Piecewise structural equation modeling was employed to reveal the scaling relationships of multiple interacting traits, and multivariate analysis of (co)variance was conducted to test for intersexual differences. RESULTS There was no sexual dimorphism in terms of trait mean vectors across the 10 vegetative traits in E. japonica. Moreover, most relationships for covarying trait pairs (17 out of 19) exhibited common scaling slopes between sexes. However, the scaling slopes for leaf phosphorus (P) vs. nitrogen (N) differed between sexes, with 5.6- and 3.0-fold increases of P coinciding with a 10-fold increase of N in male and female plants, respectively. CONCLUSIONS The lower ratio of proportional changes in P vs. N for females likely reflects stronger P limitation for their vegetative growth, as they require greater P investments in fruiting. Therefore, P vs. N scaling can be a key avenue allowing for sex-specific strategic optimization under unequal reproductive requirements. This study uncovers a hidden aspect of secondary sex character in dioecious plants, and highlights the use of trait scaling to understand sex-defined economic strategies.
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Affiliation(s)
- Dong He
- College of Ecology and the Environment, Xinjiang University, Urumchi, PR China
- School of Ecological and Environmental Sciences, East China Normal University, Shanghai, PR China
| | - Xiang-Yu Liu
- School of Ecological and Environmental Sciences, East China Normal University, Shanghai, PR China
- Plant Ecology and Phytochemistry Group, Institute of Biology, Leiden University, Leiden, The Netherlands
| | - Li-Ting Zheng
- School of Ecological and Environmental Sciences, East China Normal University, Shanghai, PR China
- Institute for Global Change Biology, School for Environment and Sustainability, University of Michigan, Ann Arbor, 48109, Michigan, USA
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13
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Mueller KE, Kray JA, Blumenthal DM. Coordination of leaf, root, and seed traits shows the importance of whole plant economics in two semiarid grasslands. THE NEW PHYTOLOGIST 2024; 241:2410-2422. [PMID: 38214451 DOI: 10.1111/nph.19529] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Accepted: 12/18/2023] [Indexed: 01/13/2024]
Abstract
Uncertainty persists within trait-based ecology, partly because few studies assess multiple axes of functional variation and their effect on plant performance. For 55 species from two semiarid grasslands, we quantified: (1) covariation between economic traits of leaves and absorptive roots, (2) covariation among economic traits, plant height, leaf size, and seed mass, and (3) relationships between these traits and species' abundance. Pairs of analogous leaf and root traits were at least weakly positively correlated (e.g. specific leaf area (SLA) and specific root length (SRL)). Two pairs of such traits, N content and DMC of leaves and roots, were at least moderately correlated (r > 0.5) whether species were grouped by site, taxonomic group and growth form, or life history. Root diameter was positively correlated with seed mass for all groups of species except annuals and monocots. Species with higher leaf dry matter content (LDMC) tended to be more abundant (r = 0.63). Annuals with larger seeds were more abundant (r = 0.69). Compared with global-scale syntheses with many observations from mesic ecosystems, we observed stronger correlations between analogous leaf and root traits, weaker correlations between SLA and leaf N, and stronger correlations between SRL and root N. In dry grasslands, plant persistence may require coordination of above- and belowground traits, and dense tissues may facilitate dominance.
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Affiliation(s)
- Kevin E Mueller
- Department of Biological, Geological, and Environmental Sciences, Cleveland State University, Cleveland, OH, 44115, USA
| | - Julie A Kray
- United States Department of Agriculture, Agricultural Research Service, Rangeland Resources & Systems Research, Fort Collins, CO, 80526, USA
| | - Dana M Blumenthal
- United States Department of Agriculture, Agricultural Research Service, Rangeland Resources & Systems Research, Fort Collins, CO, 80526, USA
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14
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Scheifes DJP, Te Beest M, Olde Venterink H, Jansen A, Kinsbergen DTP, Wassen MJ. The plant root economics space in relation to nutrient limitation in Eurasian herbaceous plant communities. Ecol Lett 2024; 27:e14402. [PMID: 38511333 DOI: 10.1111/ele.14402] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Revised: 02/16/2024] [Accepted: 02/16/2024] [Indexed: 03/22/2024]
Abstract
Plant species occupy distinct niches along a nitrogen-to-phosphorus (N:P) gradient, yet there is no general framework for belowground nutrient acquisition traits in relation to N or P limitation. We retrieved several belowground traits from databases, placed them in the "root economics space" framework, and linked these to a dataset of 991 plots in Eurasian herbaceous plant communities, containing plant species composition, aboveground community biomass and tissue N and P concentrations. Our results support that under increasing N:P ratio, belowground nutrient acquisition strategies shift from "fast" to "slow" and from "do-it-yourself" to "outsourcing", with alternative "do-it-yourself" to "outsourcing" strategies at both ends of the spectrum. Species' mycorrhizal capacity patterns conflicted with root economics space predictions based on root diameter, suggesting evolutionary development of alternative strategies under P limitation. Further insight into belowground strategies along nutrient stoichiometry is crucial for understanding the high abundance of threatened plant species under P limitation.
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Affiliation(s)
- Daniil J P Scheifes
- Copernicus Institute of Sustainable Development, Utrecht University, Utrecht, The Netherlands
| | - Mariska Te Beest
- Copernicus Institute of Sustainable Development, Utrecht University, Utrecht, The Netherlands
- Centre for African Conservation Ecology, Nelson Mandela University, Gqeberha, South Africa
| | | | - André Jansen
- Jansen-de Hullu Landschapsecologie en Circulair, Zutphen, The Netherlands
| | - Daan T P Kinsbergen
- Institute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, Amsterdam, The Netherlands
| | - Martin J Wassen
- Copernicus Institute of Sustainable Development, Utrecht University, Utrecht, The Netherlands
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15
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Neyret M, Le Provost G, Boesing AL, Schneider FD, Baulechner D, Bergmann J, de Vries FT, Fiore-Donno AM, Geisen S, Goldmann K, Merges A, Saifutdinov RA, Simons NK, Tobias JA, Zaitsev AS, Gossner MM, Jung K, Kandeler E, Krauss J, Penone C, Schloter M, Schulz S, Staab M, Wolters V, Apostolakis A, Birkhofer K, Boch S, Boeddinghaus RS, Bolliger R, Bonkowski M, Buscot F, Dumack K, Fischer M, Gan HY, Heinze J, Hölzel N, John K, Klaus VH, Kleinebecker T, Marhan S, Müller J, Renner SC, Rillig MC, Schenk NV, Schöning I, Schrumpf M, Seibold S, Socher SA, Solly EF, Teuscher M, van Kleunen M, Wubet T, Manning P. A slow-fast trait continuum at the whole community level in relation to land-use intensification. Nat Commun 2024; 15:1251. [PMID: 38341437 PMCID: PMC10858939 DOI: 10.1038/s41467-024-45113-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Accepted: 01/16/2024] [Indexed: 02/12/2024] Open
Abstract
Organismal functional strategies form a continuum from slow- to fast-growing organisms, in response to common drivers such as resource availability and disturbance. However, whether there is synchronisation of these strategies at the entire community level is unclear. Here, we combine trait data for >2800 above- and belowground taxa from 14 trophic guilds spanning a disturbance and resource availability gradient in German grasslands. The results indicate that most guilds consistently respond to these drivers through both direct and trophically mediated effects, resulting in a 'slow-fast' axis at the level of the entire community. Using 15 indicators of carbon and nutrient fluxes, biomass production and decomposition, we also show that fast trait communities are associated with faster rates of ecosystem functioning. These findings demonstrate that 'slow' and 'fast' strategies can be manifested at the level of whole communities, opening new avenues of ecosystem-level functional classification.
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Affiliation(s)
- Margot Neyret
- Senckenberg Biodiversity and Climate Research Centre, Frankfurt, Germany.
- Laboratoire d'Écologie Alpine, Université Grenoble Alpes - CNRS - Université Savoie Mont Blanc, Grenoble, France.
| | | | | | - Florian D Schneider
- Senckenberg Biodiversity and Climate Research Centre, Frankfurt, Germany
- ISOE - Institute for social-ecological research, Frankfurt am Main, Germany
| | - Dennis Baulechner
- Justus Liebig University, Department of Animal Ecology, Giessen, Germany
| | - Joana Bergmann
- Leibniz Center for Agricultural Landscape Research (ZALF), Müncheberg, Germany
| | - Franciska T de Vries
- Institute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, Amsterdam, The Netherlands
| | | | - Stefan Geisen
- Laboratory of Nematology, Wageningen University and Research, Wageningen, The Netherlands
| | - Kezia Goldmann
- Helmholtz Centre for Environmental Research (UFZ), Soil Ecology Department, Halle/Saale, Germany
| | - Anna Merges
- Senckenberg Biodiversity and Climate Research Centre, Frankfurt, Germany
| | - Ruslan A Saifutdinov
- A.N. Severtsov Institute of Ecology and Evolution, Russian Academy of Sciences, Moscow, Russia
| | - Nadja K Simons
- Ecological Networks, Technical University Darmstadt, Darmstadt, Germany
- Applied Biodiversity Sciences, University of Würzburg, Würzburg, Germany
| | - Joseph A Tobias
- Department of Life Sciences, Imperial College London, Ascot, UK
| | - Andrey S Zaitsev
- Justus Liebig University, Department of Animal Ecology, Giessen, Germany
- A.N. Severtsov Institute of Ecology and Evolution, Russian Academy of Sciences, Moscow, Russia
- Senckenberg Museum for Natural History Görlitz, Görlitz, Germany
| | - Martin M Gossner
- Forest Entomology, Swiss Federal Research Institute WSL, Birmensdorf, Switzerland
- Department of Environmental Systems Science, Institute of Terrestrial Ecosystems, ETH Zürich, Zürich, Switzerland
| | - Kirsten Jung
- Institut of Evolutionary Ecology and Conservation Genomics, Ulm University, Ulm, Germany
| | - Ellen Kandeler
- Department of Soil Biology, Institute of Soil Science and Land Evaluation, University of Hohenheim, Stuttgart, Germany
| | - Jochen Krauss
- Department of Animal Ecology and Tropical Biology, Biocenter, University of Würzburg, Würzburg, Germany
| | - Caterina Penone
- Institute of Plant Sciences, University of Bern, Bern, Switzerland
| | - Michael Schloter
- Helmholtz Zentrum Muenchen, Research Unit for Comparative Microbiome Analysis, Oberschleissheim, Germany
- Chair of Environmental Microbiology, Technical University of Munich, Freising, Germany
| | - Stefanie Schulz
- Helmholtz Zentrum Muenchen, Research Unit for Comparative Microbiome Analysis, Oberschleissheim, Germany
| | - Michael Staab
- Ecological Networks, Technical University Darmstadt, Darmstadt, Germany
| | - Volkmar Wolters
- Justus Liebig University, Department of Animal Ecology, Giessen, Germany
| | - Antonios Apostolakis
- Department of Biogeochemical Processes, Max-Planck-Institute for Biogeochemistry, Jena, Germany
- Department of Crop Sciences, University of Göttingen, Göttingen, Germany
| | - Klaus Birkhofer
- Department of Ecology, Brandenburg University of Technology Cottbus-Senftenberg, Cottbus, Germany
| | - Steffen Boch
- Swiss Federal Research Institute WSL, Birmensdorf, Switzerland
| | - Runa S Boeddinghaus
- Department of Soil Biology, Institute of Soil Science and Land Evaluation, University of Hohenheim, Stuttgart, Germany
- Department Plant Production and Production Related Environmental Protection, Center for Agricultural Technology Augustenberg (LTZ), Karlsruhe, Germany
| | - Ralph Bolliger
- Institute of Plant Sciences, University of Bern, Bern, Switzerland
| | - Michael Bonkowski
- Terrestrial Ecology, Institute of Zoology, University of Cologne, Köln, Germany
| | - François Buscot
- Helmholtz Centre for Environmental Research (UFZ), Soil Ecology Department, Halle/Saale, Germany
- German Centre for Integrative Biodiversity Research (iDiv) Halle - Jena-, Leipzig, Germany
| | - Kenneth Dumack
- Terrestrial Ecology, Institute of Zoology, University of Cologne, Köln, Germany
| | - Markus Fischer
- Institute of Plant Sciences, University of Bern, Bern, Switzerland
| | - Huei Ying Gan
- Senckenberg Centre for Human Evolution and Palaeoenvironments Tübingen (SHEP), Tübingen, Germany
| | - Johannes Heinze
- Department of Biodiversity, Heinz Sielmann Foundation, Wustermark, Germany
| | - Norbert Hölzel
- Institute of Landscape Ecology, University of Münster, Münster, Germany
| | - Katharina John
- Justus Liebig University, Department of Animal Ecology, Giessen, Germany
| | - Valentin H Klaus
- Institute of Agricultural Sciences, ETH Zürich, Zürich, Switzerland
- Forage Production and Grassland Systems, Agroscope, Zürich, Switzerland
| | - Till Kleinebecker
- Institute for Landscape Ecology and Resources Management (ILR), Research Centre for BioSystems, Land Use and Nutrition (iFZ), Justus Liebig University Giessen, Giessen, Germany
- Centre for International Development and Environmental Research (ZEU), Justus Liebig University Giessen, Giessen, Germany
| | - Sven Marhan
- Department of Soil Biology, Institute of Soil Science and Land Evaluation, University of Hohenheim, Stuttgart, Germany
| | - Jörg Müller
- Department of Nature Conservation, Heinz Sielmann Foundation, Wustermark, Germany
| | - Swen C Renner
- Ornithology, Natural History Museum Vienna, Vienna, Autria, Germany
| | | | - Noëlle V Schenk
- Institute of Plant Sciences, University of Bern, Bern, Switzerland
| | - Ingo Schöning
- Department of Biogeochemical Processes, Max-Planck-Institute for Biogeochemistry, Jena, Germany
| | - Marion Schrumpf
- Department of Biogeochemical Processes, Max-Planck-Institute for Biogeochemistry, Jena, Germany
| | - Sebastian Seibold
- Technical University of Munich, TUM School of Life Sciences, Freising, Germany
- TUD Dresden University of Technology, Forest Zoology, Tharandt, Germany
| | - Stephanie A Socher
- Paris Lodron University Salzburg, Department Environment and Biodiversity, Salzburg, Austria
| | - Emily F Solly
- Helmholtz Centre for Environmental Research (UFZ), Computation Hydrosystems Department, Leipzig, Germany
| | - Miriam Teuscher
- University of Göttingen, Centre of Biodiversity and Sustainable Land Use, Göttingen, Germany
| | - Mark van Kleunen
- Zhejiang Provincial Key Laboratory of Plant Evolutionary Ecology and Conservation, Taizhou University, Taizhou, China
- Ecology, Department of Biology, University of Konstanz, Konstanz, Germany
| | - Tesfaye Wubet
- German Centre for Integrative Biodiversity Research (iDiv) Halle - Jena-, Leipzig, Germany
- Helmholtz Centre for Environmental Research (UFZ), Community Ecology Department, Halle/Saale, Germany
| | - Peter Manning
- Senckenberg Biodiversity and Climate Research Centre, Frankfurt, Germany.
- Department of Biological Sciences, University of Bergen, Bergen, Norway.
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16
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Kato-Noguchi H, Kurniadie D. The Invasive Mechanisms of the Noxious Alien Plant Species Bidens pilosa. PLANTS (BASEL, SWITZERLAND) 2024; 13:356. [PMID: 38337889 PMCID: PMC10857670 DOI: 10.3390/plants13030356] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Revised: 01/12/2024] [Accepted: 01/12/2024] [Indexed: 02/12/2024]
Abstract
Bidens pilosa L. is native to tropical America and has widely naturized from tropical to warm temperate regions in Europe, Africa, Asia, Australia, and North and South America. The species has infested a wide range of habitats such as grasslands, forests, wetlands, streamlines, coastal areas, pasture, plantations, agricultural fields, roadsides, and railway sides and has become a noxious invasive weed species. B. pilosa forms thick monospecific stands, quickly expands, and threatens the indigenous plant species and crop production. It is also involved in pathogen transmission as a vector. The species was reported to have (1) a high growth ability, producing several generations in a year; (2) a high achene production rate; (3) different biotypes of cypselae, differently germinating given the time and condition; (4) a high adaptative ability to various environmental conditions; (5) an ability to alter the microbial community, including mutualism with arbuscular mycorrhizal fungi; and (6) defense functions against natural enemies and allelopathy. The species produces several potential allelochemicals such as palmitic acid, p-coumaric acid, caffeic acid, ferulic acid, p-hydroxybenzoic acid, vanillic acid, salycilic acid, quercetin, α-pinene, and limonene and compounds involved in the defense functions such as 1-phenylhepta-1,3,5-trine, 5-phenyl-2-(1-propynyl)-thiophene, 5-actoxy-2-phenylethinyl-thiophene, and icthyothereol acetate. These characteristics of B. pilosa may contribute to the naturalization and invasiveness of the species in the introduced ranges. This is the first review article focusing on the invasive mechanisms of the species.
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Affiliation(s)
- Hisashi Kato-Noguchi
- Department of Applied Biological Science, Faculty of Agriculture, Kagawa University, Miki, Kagawa 761-0795, Japan
| | - Denny Kurniadie
- Department of Agronomy, Faculty of Agriculture, Universitas Padjadjaran, Jalan Raya Bandung Sumedang Km 21, Jatinangor, Sumedang 45363, Jawa Barat, Indonesia
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17
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Gong H, Niu Y, Niklas KJ, Huang H, Deng J, Wang Z. Nitrogen and phosphorus allocation in bark across diverse tree species. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 908:168327. [PMID: 37926252 DOI: 10.1016/j.scitotenv.2023.168327] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Revised: 10/24/2023] [Accepted: 11/02/2023] [Indexed: 11/07/2023]
Abstract
Understanding of nitrogen (N) and phosphorus (P) allocation patterns among various plant organs and tissues is crucial for gaining insights into plant growth and life-history strategies, as well as ecosystem nutrient cycles. However, there is limited information available regarding allocation strategies for N and P in bark (i.e., all tissues external to the vascular cambium), which is an indispensable and specialized secondary tissue system. This study presents analyses of a newly compiled and comprehensive data set comprising 1246 pairwise N-P observations across 335 tree species spanning 557 independent sampling sites worldwide. The aim is to explore the interspecific N and P stoichiometry of bark. The global geometric means for bark N and P concentrations, as well as N:P ratios, were 3.88 mg/g, 0.2 mg/g, and 19.38, respectively. However, these values varied significantly among different functional plant-groups and biomes. Across all 335 species, the N vs. P scaling exponent was 0.69 for bark, which is similar to the 2/3-power scaling relationship observed in leaves and twigs. However, the bark N vs. P scaling exponent differed among functional plant-groups, biomes, and local sites, indicating the absence of a "canonical" scaling exponent. The interactions of soil total N and P collectively accounted for the most significant variation in the bark scaling exponent among local sites. The results indicate that there is no "canonical" bark N vs. P scaling exponent, and that soil nutrient content is the most important factor influencing N and P allocation strategies in bark. These findings may hold significant implications for predicting plant nutrient allocation strategies in response to environmental changes.
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Affiliation(s)
- Haiyang Gong
- Sichuan Zoige Alpine Wetland Ecosystem National Observation and Research Station, Southwest Minzu University, Chengdu 610041, China; Institute of Qinghai-Tibetan Plateau, Southwest Minzu University, Chengdu 610041, China
| | - Yuan Niu
- Lanzhou Agro-Technical Research and Popularization Center, Lanzhou 730010, China
| | - Karl J Niklas
- School of Integrative Plant Science, Cornell University, Ithaca, NY 14853, USA
| | - Heng Huang
- Division for Ecology and Biodiversity, School of Biological Sciences, The University of Hong Kong, Pokfulam Road, 999077, Hong Kong, China
| | - Jianming Deng
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems (SKLHIGA), College of Ecology, Lanzhou University, Lanzhou 730000, China
| | - Zhiqiang Wang
- Sichuan Zoige Alpine Wetland Ecosystem National Observation and Research Station, Southwest Minzu University, Chengdu 610041, China; Institute of Qinghai-Tibetan Plateau, Southwest Minzu University, Chengdu 610041, China.
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18
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Zhao W, Xiao C, Li M, Xu L, Li X, He N. Spatial variation of sulfur in terrestrial ecosystems in China: Content, density, and storage. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 906:167848. [PMID: 37844639 DOI: 10.1016/j.scitotenv.2023.167848] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Revised: 10/12/2023] [Accepted: 10/13/2023] [Indexed: 10/18/2023]
Abstract
Sulfur (S) is an important macronutrient that is widely distributed in nature. Understanding the patterns and mechanisms of S dynamics is of great significance for accurately predicting the geophysical and chemical cycles of S and formulating policies for S emission and management. We systematically investigated and integrated 17,618 natural plots in China's terrestrial ecosystems and built a S density database of vegetation (including leaves, branches, stems, and roots) and surface soil (0-30 cm depth). The biogeographic patterns and environmental drivers of the S content, density, and storage in the vegetation and soil of terrestrial ecosystems were explored. Vegetation and soil were the major components of terrestrial ecosystems, storing a total of 2228.77 ± 121.72 Tg S, with mean S densities of 4.32 ± 0.04 × 10-2, and 267.93 ± 14.94 × 10-2 t hm-2, respectively. The forest was the most important vegetation S pool and their S storage accounted for about 55.28 % of the total vegetation S storage, whereas soil S pools of croplands and other vegetation types (e.g., deserts and wetlands) accounted for about 63.18 % of the total soil S storage. The mean S density (2.18 ± 0.02 × 10-2 t hm-2) and S storage (12.45 ± 0.31 Tg) of plant roots were significantly higher than those of other organs. The spatial variation in the S density was mainly regulated by climate and soil properties, reflecting the physiological adaptation mechanisms of plants by adjusting the S uptake and distribution to cope with climate change. In this study, the spatial patterns of S density and storage in vegetation and soil in terrestrial ecosystems of China and their response to environmental factors on a national scale were systematically studied. The results provide insights into the biological functions of S and its role in plant-environment interactions.
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Affiliation(s)
- Wenzong Zhao
- College of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China; Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
| | - Chunwang Xiao
- College of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China.
| | - Mingxu Li
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; Earth Critical Zone and Flux Research Station of Xing'an Mountains, Chinese Academy of Sciences, Daxing'anling 165200, China
| | - Li Xu
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xin Li
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
| | - Nianpeng He
- Center for Ecological Research, Northeast Forestry University, Harbin 150040, China.
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Wang Y, Wang Y, Yu F, Yi X. Phylogeny more than plant height and leaf area explains variance in seed mass. FRONTIERS IN PLANT SCIENCE 2023; 14:1266798. [PMID: 38034582 PMCID: PMC10687375 DOI: 10.3389/fpls.2023.1266798] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Accepted: 10/31/2023] [Indexed: 12/02/2023]
Abstract
Although variation in seed mass can be attributed to other plant functional traits such as plant height, leaf size, genome size, growth form, leaf N and phylogeny, until now, there has been little information on the relative contributions of these factors to variation in seed mass. We compiled data consisting of 1071 vascular plant species from the literature to quantify the relationships between seed mass, explanatory variables and phylogeny. Strong phylogenetic signals of these explanatory variables reflected inherited ancestral traits of the plant species. Without controlling phylogeny, growth form and leaf N are associated with seed mass. However, this association disappeared when accounting for phylogeny. Plant height, leaf area, and genome size showed consistent positive relationship with seed mass irrespective of phylogeny. Using phylogenetic partial R2s model, phylogeny explained 50.89% of the variance in seed mass, much more than plant height, leaf area, genome size, leaf N, and growth form explaining only 7.39%, 0.58%, 1.85%, 0.06% and 0.09%, respectively. Therefore, future ecological work investigating the evolution of seed size should be cautious given that phylogeny is the best overall predictor for seed mass. Our study provides a novel avenue for clarifying variation in functional traits across plant species, improving our better understanding of global patterns in plant traits.
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Affiliation(s)
- Yingnan Wang
- School of Life Sciences, Qufu Normal University, Qufu, China
| | - Yang Wang
- College of Life Sciences, Henan Normal University, Xinxiang, China
| | - Fei Yu
- College of Life Sciences, Henan Normal University, Xinxiang, China
| | - Xianfeng Yi
- School of Life Sciences, Qufu Normal University, Qufu, China
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Ba Y, Li X, Ma Y, Chai Y, Li C, Ma X, Yang Y. A Study on the C, N, and P Contents and Stoichiometric Characteristics of Forage Leaves Based on Fertilizer-Reconstructed Soil in an Alpine Mining Area. PLANTS (BASEL, SWITZERLAND) 2023; 12:3838. [PMID: 38005735 PMCID: PMC10674538 DOI: 10.3390/plants12223838] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/30/2023] [Revised: 11/07/2023] [Accepted: 11/10/2023] [Indexed: 11/26/2023]
Abstract
In this study, we analyzed the C, N, and P contents and stoichiometric characteristics of forage leaves of five species (Elymus breviaristatus cv. Tongde, Poa crymophila cv. Qinghai, Puccinellia tenuiflora cv. Qinghai, Festuca sinensis cv. Qinghai, and Poa pratensis cv. Qinghai) in "fertilizer-reconstructed soil" through integrative soil amendment with parched sheep manure and granular organic fertilizer in an alpine mining area. A model is fitted in order to screen out the best forage species suitable for vegetation restoration in the alpine mining area and the most favorable fertilizer dosage to improve the nutrient content of forage leaves. The results showed that (1) increasing the dosages of granular organic fertilizer and sheep manure had little effect on the C content of the five types of forage grasses, but they could significantly increase the N and P contents and N/P of the manually restored grassland in the alpine mining area (p < 0.05). (2) The productivity and stability of the five species were ranked as follows: Elymus breviaristatus cv. Tongde > Puccinellia tenuiflora cv. Qinghai > Festuca sinensis cv. Qinghai > Poa pratensis cv. Qinghai > Poa crymophila cv. Qinghai. (3) According to the fitted least squares model and the willingness to maximize the C, N, and P contents of the leaves, the ranking of the five forage grasses was described by the Prediction Profiler as follows: Elymus breviaristatus cv. Tongde > Puccinellia tenuiflora cv. Qinghai > Festuca sinensis cv. Qinghai > Poa crymophila cv. Qinghai > Poa pratensis cv. Qinghai. (4) The predictive model suggested that the optimal contents of C, N, and P in Elymus breviaristatus cv. Tongde, Festuca sinensis cv. Qinghai, and Poa pratensis cv. Qinghai leaves could be achieved with the application of 3.6 kg/m2 of granular organic fertilizer and 45.0 kg/m2 of sheep manure. For Poa crymophila cv. Qinghai leaves, the ideal content was attained by applying 0 kg/m2 of granular organic fertilizer and 45.0 kg/m2 of sheep manure. Lastly, the optimal C, N, and P contents in Puccinellia tenuiflora cv. Qinghai leaves could be obtained through the application of 3.6 kg/m2 of granular organic fertilizer combined with 0 kg/m2 of sheep manure. In conclusion, the study's results highlight the significant practical value of the fertilizer-reconstructed soil for vegetation restoration in alpine mining regions.
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Affiliation(s)
- Yichen Ba
- College of Agriculture and Animal Husbandry, Qinghai University, Xining 810016, China; (Y.B.); (Y.M.); (Y.C.); (C.L.); (X.M.); (Y.Y.)
- State Key Laboratory of Plateau Ecology and Agriculture, Qinghai University, Xining 810016, China
| | - Xilai Li
- College of Agriculture and Animal Husbandry, Qinghai University, Xining 810016, China; (Y.B.); (Y.M.); (Y.C.); (C.L.); (X.M.); (Y.Y.)
- State Key Laboratory of Plateau Ecology and Agriculture, Qinghai University, Xining 810016, China
| | - Yunqiao Ma
- College of Agriculture and Animal Husbandry, Qinghai University, Xining 810016, China; (Y.B.); (Y.M.); (Y.C.); (C.L.); (X.M.); (Y.Y.)
- State Key Laboratory of Plateau Ecology and Agriculture, Qinghai University, Xining 810016, China
| | - Yu Chai
- College of Agriculture and Animal Husbandry, Qinghai University, Xining 810016, China; (Y.B.); (Y.M.); (Y.C.); (C.L.); (X.M.); (Y.Y.)
| | - Chengyi Li
- College of Agriculture and Animal Husbandry, Qinghai University, Xining 810016, China; (Y.B.); (Y.M.); (Y.C.); (C.L.); (X.M.); (Y.Y.)
| | - Xinyue Ma
- College of Agriculture and Animal Husbandry, Qinghai University, Xining 810016, China; (Y.B.); (Y.M.); (Y.C.); (C.L.); (X.M.); (Y.Y.)
| | - Yongxiang Yang
- College of Agriculture and Animal Husbandry, Qinghai University, Xining 810016, China; (Y.B.); (Y.M.); (Y.C.); (C.L.); (X.M.); (Y.Y.)
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Duan X. Stoichiometric characteristics of woody plant leaves and responses to climate and soil factors in China. PLoS One 2023; 18:e0291957. [PMID: 37733819 PMCID: PMC10513206 DOI: 10.1371/journal.pone.0291957] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Accepted: 09/08/2023] [Indexed: 09/23/2023] Open
Abstract
The main research content of the field of ecological stoichiometry is the energy of various chemical elements and the interaction between organisms and the environment throughout ecological processes. Nitrogen and phosphorus are the main elements required for the growth and development of plants and these also form the constituent basis of biological organisms. Both elements interact and jointly regulate the growth and development of plants, and their element ratios are an indication of the nutrient utilization rate and nutrient limitation status of plants. Previous research developed a general biogeography model of the stoichiometric relationship between nitrogen and phosphorus in plant leaves on a global scale. Further, it was shown that the relative rate of nitrogen uptake by leaves was lower than that of phosphorus, and the scaling exponent of nitrogen and phosphorus was 2/3. However, it is not clear how the stoichiometric values of nitrogen and phosphorus, especially their scaling exponents, change in the leaves of Chinese woody plants in response to changing environmental conditions. Therefore, data sets of leaf nitrogen and phosphorus concentrations, and nitrogen to phosphorus ratios in Chinese woody plants were compiled and classified according to different life forms. The overall average concentrations of nitrogen and phosphorus in leaves were 20.77 ± 8.12 mg g-1 and 1.58 ± 1.00 mg g-1, respectively. The contents of nitrogen and phosphorus in leaves of deciduous plants were significantly higher than those of evergreen plants. In leaves, life form is the main driving factor of nitrogen content, and mean annual temperature is the main driving factor of phosphorus content; soil available nitrogen is the main driving factor of the nitrogen to phosphorus ratio. These values can be used for comparison with other studies. In addition, the scale index was found to be significantly different among different life forms. The scaling exponents of N-P of woody plants of different life forms, such as trees, shrubs, evergreen, deciduous, and coniferous plants are 0.67, 0.72, 0.63, 0.72, and 0.66, respectively. The N-P scaling exponent of shrubs was higher than that of trees, and that of deciduous plants was higher than that of evergreen plants. These results suggest that the internal attributes of different life forms, the growth rate related to phosphorus, and the relative nutrient availability of soil are the reasons for the unsteady relationship between nitrogen and phosphorus in leaves.
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Banerjee AK, Tan F, Feng H, Liang X, Wang J, Yin M, Peng H, Lin Y, Zhang N, Huang Y. Invasive alien plants are phylogenetically distinct from other alien species across spatial and taxonomic scales in China. FRONTIERS IN PLANT SCIENCE 2023; 14:1075344. [PMID: 37745989 PMCID: PMC10513447 DOI: 10.3389/fpls.2023.1075344] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Accepted: 08/23/2023] [Indexed: 09/26/2023]
Abstract
Introduction Phylogenetic relatedness is one of the important factors in the community assembly process. Here, we aimed to understand the large-scale phylogenetic relationship between alien plant species at different stages of the invasion process and how these relationships change in response to the environmental filtering process at multiple spatial scales and different phylogenetic extents. Methods We identified the alien species in three invasion stages, namely invasive, naturalized, and introduced, in China. The occurrence records of the species were used to quantify two abundance-based phylogenetic metrics [the net relatedness index (NRI) and the nearest taxon index (NTI)] from a highly resolved phylogenetic tree. The metrics were compared between the three categories of alien species. Generalized linear models were used to test the effect of climate on the phylogenetic pattern. All analyses were conducted at four spatial scales and for three major angiosperm families. Results We observed significantly higher NRI and NTI values at finer spatial scales, indicating the formation of more clustered assemblages of phylogenetically closely related species in response to the environmental filtering process. Positive NTI values for the invasive and naturalized aliens suggested that the presence of a close relative in the community may help the successful naturalization and invasion of the introduced alien species. In the two-dimensional phylogenetic space, the invasive species communities significantly differed from the naturalized and introduced species, indicating that established alien species need to be phylogenetically different to become invasive. Positive phylogenetic measures for the invasive aliens across the spatial scales suggested that the presence of invasive aliens could facilitate the establishment of other invasive species. Phylogenetic relatedness was more influenced by temperature than precipitation, especially at a finer spatial scale. With decreased temperature, the invasive species showed a more clustered assemblage, indicating conservatism of their phylogenetic niche. The phylogenetic pattern was different at the family level, although there was a consistent tendency across families to form more clustered assemblages. Discussion Overall, our study showed that the community assemblage became more clustered with the progression of the invasion process. The phylogenetic measures varied at spatial and taxonomic scales, thereby highlighting the importance of assessing phylogenetic patterns at different gradients of the community assembly process.
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Affiliation(s)
- Achyut Kumar Banerjee
- State Key Laboratory of Biocontrol and Guangdong Provincial Key Laboratory of Plant Resources, School of Life Sciences, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Fengxiao Tan
- College of Natural Resources and Environment, South China Agricultural University, Guangzhou, Guangdong, China
| | - Hui Feng
- State Key Laboratory of Biocontrol and Guangdong Provincial Key Laboratory of Plant Resources, School of Life Sciences, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Xinru Liang
- State Key Laboratory of Biocontrol and Guangdong Provincial Key Laboratory of Plant Resources, School of Life Sciences, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Jiakai Wang
- State Key Laboratory of Biocontrol and Guangdong Provincial Key Laboratory of Plant Resources, School of Life Sciences, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Minghui Yin
- State Key Laboratory of Biocontrol and Guangdong Provincial Key Laboratory of Plant Resources, School of Life Sciences, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Hao Peng
- State Key Laboratory of Biocontrol and Guangdong Provincial Key Laboratory of Plant Resources, School of Life Sciences, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Yuting Lin
- State Key Laboratory of Biocontrol and Guangdong Provincial Key Laboratory of Plant Resources, School of Life Sciences, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Nannan Zhang
- Chinese Academy of Sciences Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization and Ecological Restoration Biodiversity Conservation Key Laboratory of Sichuan Province, Chengdu Institute of Biology, Chengdu, Sichuan, China
| | - Yelin Huang
- State Key Laboratory of Biocontrol and Guangdong Provincial Key Laboratory of Plant Resources, School of Life Sciences, Sun Yat-sen University, Guangzhou, Guangdong, China
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Song Y, Yu Y, Li Y, Du M. Leaf litter chemistry and its effects on soil microorganisms in different ages of Zanthoxylum planispinum var. Dintanensis. BMC PLANT BIOLOGY 2023; 23:262. [PMID: 37198548 DOI: 10.1186/s12870-023-04274-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Accepted: 05/09/2023] [Indexed: 05/19/2023]
Abstract
BACKGROUND Leaf litter is the products of metabolism during the growth and development of plantation, and it is also an important component of nutrient cycling in plantation ecosystems. However, leaf litter chemistry and its effects on soil microorganisms in different ages, as well as the interactions between chemical components in leaf litter have been rarely reported. Based on this, this paper took Zanthoxylum planispinum var. dintanensis (hereafter Z. planispinum) plantations of 5-7, 10-12, 20-22, and 28-32 years old as the objects. By using one-way ANOVA, Pearson correlation analysis and redundancy analysis, we investigated leaf litter chemistry and its effects on soil microorganisms in different ages, and to reveal internal correlation of various chemical components in leaf litter, which can provide a scientific basis for the regulation of soil microbial activity in plantations. RESULTS The variation of organic carbon with plantation age was more stable compared to total nitrogen and phosphorus of leaf litter. Nitrogen resorption was stronger than phosphorus resorption efficiency in Z. planispinum, and resorption efficiencies of leaf nitrogen and phosphorus for different ages were lower than the global average. Total nitrogen was highly significantly positively correlated with lignin, and total potassium was significantly positively correlated with tannin, suggesting the increase of inorganic substances in leaf litter would promote the accumulation of secondary metabolites. The leaf litter chemical traits explained up to 72% of soil microorganisms, where lignin was positively correlated with fungi and negatively correlated with bacteria, indicating that fungi are able to decompose lower quality litter and can break down complex and stable organic compounds more rapidly than bacteria. The nutrient elements carbon and nitrogen in the leaf litter and their interrelationship also have a great impact on soil microorganisms, because carbon is not only the element that provides energy, but also the element with the largest content in the microbiota. CONCLUSIONS The sustained increase in inorganic nutrients of leaf litter did not favor the decomposition of secondary metabolites, but rather inhibited the degradation of leaf litter. The significant positive effect of the leaf litter chemistry on soil microorganisms indicates the important role of leaf litter in promoting nutrient cycling in Z. planispinum plantations.
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Affiliation(s)
- Yanping Song
- School of Karst Science / State Engineering Technology Institute for Karst Decertification Control, Guizhou Normal University, Guiyang, 550001, China
| | - Yanghua Yu
- School of Karst Science / State Engineering Technology Institute for Karst Decertification Control, Guizhou Normal University, Guiyang, 550001, China.
| | - Yitong Li
- School of Karst Science / State Engineering Technology Institute for Karst Decertification Control, Guizhou Normal University, Guiyang, 550001, China
| | - Mingfeng Du
- School of Karst Science / State Engineering Technology Institute for Karst Decertification Control, Guizhou Normal University, Guiyang, 550001, China
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Wu J, Jiao L, Qin H, Che X, Zhu X. Spatial characteristics of nutrient allocation for Picea crassifolia in soil and plants on the eastern margin of the Qinghai-Tibet Plateau. BMC PLANT BIOLOGY 2023; 23:199. [PMID: 37062838 PMCID: PMC10108462 DOI: 10.1186/s12870-023-04214-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/06/2022] [Accepted: 04/05/2023] [Indexed: 06/19/2023]
Abstract
BACKGROUND Understanding the stoichiometric characteristics and nutrient allocation strategies of dominant tree species in montane forest systems can provide a basis for decision-making in relation to montane system management. Therefore, according to precipitation and temperature gradients, we selected three typical areas in the Qilian Mountains on the eastern margin of the Qinghai-Tibet Plateau to analyse the spatial relations of plant-soil stoichiometric characteristics and nutrient allocation strategies of plant tissues for Qinghai spruce (Picea crassifolia) along different environmental gradients. RESULTS 1) The plant and soil stoichiometric characteristics had similar spatial patterns. The C content of plants and soils tended to decrease with increasing latitude, and the N and P contents and the N:P ratio tended to increase with increasing latitude. 2) The stoichiometric characteristics of the plant tissues also interacted with each other and showed synergistic trade-offs. Nutrient allocation in the eastern section of the Qilian Mountains was similar to that in the western section, while more N and P in the plant stems were allocated to maintain plant growth in the relatively arid western Sect. 3) The nutrient allocation strategies in the plant tissues were mainly regulated by soil and climate. CONCLUSIONS Information on plant-soil stoichiometric characteristics along different gradients can help us better understand the nutrient patterns and dynamics of forest ecosystems under arid and semiarid conditions at a wide geographic scale from the perspective of plant nutrient partitioning.
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Affiliation(s)
- Jingjing Wu
- College of Geography and Environmental Science, Northwest Normal University, No. 967, Anning East Road, Lanzhou, 730070, China
- Key Laboratory of Resource Environment and Sustainable Development of Oasis, Gansu Province, Northwest Normal University, Lanzhou, 730070, China
| | - Liang Jiao
- College of Geography and Environmental Science, Northwest Normal University, No. 967, Anning East Road, Lanzhou, 730070, China.
- Key Laboratory of Resource Environment and Sustainable Development of Oasis, Gansu Province, Northwest Normal University, Lanzhou, 730070, China.
| | - Huijun Qin
- College of Geography and Environmental Science, Northwest Normal University, No. 967, Anning East Road, Lanzhou, 730070, China
- Key Laboratory of Resource Environment and Sustainable Development of Oasis, Gansu Province, Northwest Normal University, Lanzhou, 730070, China
| | - Xichen Che
- College of Geography and Environmental Science, Northwest Normal University, No. 967, Anning East Road, Lanzhou, 730070, China
- Key Laboratory of Resource Environment and Sustainable Development of Oasis, Gansu Province, Northwest Normal University, Lanzhou, 730070, China
| | - Xuli Zhu
- College of Geography and Environmental Science, Northwest Normal University, No. 967, Anning East Road, Lanzhou, 730070, China
- Key Laboratory of Resource Environment and Sustainable Development of Oasis, Gansu Province, Northwest Normal University, Lanzhou, 730070, China
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Wang S, Han Y, Jia Y, Chen Z, Wang G. Addressing the Relationship between Leaf Nitrogen and Carbon Isotope Discrimination from the Three Levels of Community, Population and Individual. PLANTS (BASEL, SWITZERLAND) 2023; 12:1551. [PMID: 37050177 PMCID: PMC10097192 DOI: 10.3390/plants12071551] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Revised: 03/30/2023] [Accepted: 03/30/2023] [Indexed: 06/19/2023]
Abstract
The carbon, nitrogen and water cycles of terrestrial ecosystems are important biogeochemical cycles. Addressing the relationship of leaf nitrogen (N) and carbon isotope discrimination (Δ) will enhance the understanding of the links between these three cycles in plant leaves because Δ can reflect time-integrated leaf-level water-use efficiency (WUE) over the period when the leaf material is produced. Previous studies have paid considerable attention to the relationship. However, these studies have not effectively eliminated the interference of environmental factors, inter-species, and inter-individual differences in this relationship, so new research is necessary. To minimize these interferences, the present work explored the relationship at the three levels of community, population, and plant individual. Three patterns of positive, negative and no relationship were observed across communities, populations, and individuals, which is dependent on environmental conditions, species, and plant individuals. The results strongly suggested that there is no general pattern for the relationship between leaf N and Δ. Furthermore, the results indicated that there is often no coupling between leaf-level long-term WUE and leaf N in the metabolic process of carbon, N and water in leaves. The main reason for the lack of this relationship is that most plants do not invest large amounts of nitrogen into photosynthesis. In addition, the present study also observed that, for most plant species, leaf N was not related to photosynthetic rate, and that variations in photosynthetic rates are mainly driven by stomatal conductance.
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Affiliation(s)
- Shuhan Wang
- Beijing Key Laboratory of Farmland Soil Pollution Prevention and Remediation, College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, China
- Department of Biotechonology, College of Biotechonology and Pharmceutical Engineering, Nanjing Tech University, Nanjing 211816, China
| | - Yaowen Han
- Beijing Key Laboratory of Farmland Soil Pollution Prevention and Remediation, College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, China
| | - Yufu Jia
- Institute of Botany, The Chinese Academy of Sciences, Beijing 100093, China
| | - Zixun Chen
- Beijing Key Laboratory of Farmland Soil Pollution Prevention and Remediation, College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, China
| | - Guoan Wang
- Beijing Key Laboratory of Farmland Soil Pollution Prevention and Remediation, College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, China
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Dong X, Zhang J, Xin Z, Huang Y, Han C, Li Y, Lu Q. Ecological Stoichiometric Characteristics in Organs of Ammopiptanthus mongolicus in Different Habitats. PLANTS (BASEL, SWITZERLAND) 2023; 12:414. [PMID: 36679127 PMCID: PMC9863615 DOI: 10.3390/plants12020414] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/20/2022] [Revised: 01/01/2023] [Accepted: 01/12/2023] [Indexed: 06/17/2023]
Abstract
The essence of plant ecological stoichiometry is to study the relationships between species and their environment, including nutrient absorption, utilization and cycling processes as well as the nutrient limitation of plants. Plants can regulate nutrient elements and adapt to environmental changes. To understand the adaptation mechanism, it is important to take plants as a whole and quantify the correlation between the chemometrics of different organs. Ammopiptanthus mongolicus is within the second-class group of rare−endangered plants in China and is the only evergreen broad-leaved shrub in desert areas. We analyzed the ecological stoichiometric characteristics of leaves, stems, roots, flowers and seeds of A. mongolicus in five habitats, namely fixed sandy land, semi-fixed sandy land, stony−sandy land, alluvial gravel slope and saline−alkali land. We found that (1) the nutrient contents of N, P and K were in the order of seed > flower > leaf > root > stem. The enrichment of the N, P and K in the reproductive organs promoted the transition from vegetative growth to reproductive growth. Additionally, (2) the contents of C, N, P and K and their stoichiometric ratios in different organs varied among different habitat types. The storage capacity of C, N and P was higher in sandy soil (fixed and semi-fixed sandy land), whereas the content of K was higher in gravelly soil (stony−sandy land and alluvial gravel slope), and the C:N, C:P and N:P were significantly higher in gravelly soil than those in sandy soil. A. mongolicus had higher nutrient use efficiency in stony−sandy land and alluvial gravel slope. Furthermore, (3) the C:N and N:P ratios in each organ were relatively stable among different habitats, whereas the K:P ratio varied greatly. The N:P ratios of leaves were all greater than 16 in different habitats, indicating that the growth was mainly limited by P. Moreover, (4) except for the P element, the content of each element and its stoichiometric ratio were affected by the interaction between organs and habitat. Habitat had a greater impact on C content, whereas organs had a greater influence on N, P and K content and C:N, C:P, C:K and N:P.
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Affiliation(s)
- Xue Dong
- Institute of Desertification Studies, Chinese Academy of Forestry, Beijing 100091, China
- Experimental Center of Desert Forestry, Chinese Academy of Forestry, National Long-Term Scientific Research Base of Comprehensive Control in Ulan Buh Desert, Inner Mongolia Dengkou Desert Ecosystem National Observation Research Station, Dengkou, Bayannur 015200, China
| | - Jinbo Zhang
- Experimental Center of Desert Forestry, Chinese Academy of Forestry, National Long-Term Scientific Research Base of Comprehensive Control in Ulan Buh Desert, Inner Mongolia Dengkou Desert Ecosystem National Observation Research Station, Dengkou, Bayannur 015200, China
| | - Zhiming Xin
- Experimental Center of Desert Forestry, Chinese Academy of Forestry, National Long-Term Scientific Research Base of Comprehensive Control in Ulan Buh Desert, Inner Mongolia Dengkou Desert Ecosystem National Observation Research Station, Dengkou, Bayannur 015200, China
| | - Yaru Huang
- Experimental Center of Desert Forestry, Chinese Academy of Forestry, National Long-Term Scientific Research Base of Comprehensive Control in Ulan Buh Desert, Inner Mongolia Dengkou Desert Ecosystem National Observation Research Station, Dengkou, Bayannur 015200, China
| | - Chunxia Han
- Experimental Center of Desert Forestry, Chinese Academy of Forestry, National Long-Term Scientific Research Base of Comprehensive Control in Ulan Buh Desert, Inner Mongolia Dengkou Desert Ecosystem National Observation Research Station, Dengkou, Bayannur 015200, China
| | - Yonghua Li
- Institute of Desertification Studies, Chinese Academy of Forestry, Beijing 100091, China
| | - Qi Lu
- Institute of Desertification Studies, Chinese Academy of Forestry, Beijing 100091, China
- Experimental Center of Desert Forestry, Chinese Academy of Forestry, National Long-Term Scientific Research Base of Comprehensive Control in Ulan Buh Desert, Inner Mongolia Dengkou Desert Ecosystem National Observation Research Station, Dengkou, Bayannur 015200, China
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Díaz S, Kattge J, Cornelissen JHC, Wright IJ, Lavorel S, Dray S, Reu B, Kleyer M, Wirth C, Prentice IC, Garnier E, Bönisch G, Westoby M, Poorter H, Reich PB, Moles AT, Dickie J, Zanne AE, Chave J, Wright SJ, Sheremetiev SN, Jactel H, Baraloto C, Cerabolini BEL, Pierce S, Shipley B, Casanoves F, Joswig JS, Günther A, Falczuk V, Rüger N, Mahecha MD, Gorné LD, Amiaud B, Atkin OK, Bahn M, Baldocchi D, Beckmann M, Blonder B, Bond W, Bond-Lamberty B, Brown K, Burrascano S, Byun C, Campetella G, Cavender-Bares J, Chapin FS, Choat B, Coomes DA, Cornwell WK, Craine J, Craven D, Dainese M, de Araujo AC, de Vries FT, Domingues TF, Enquist BJ, Fagúndez J, Fang J, Fernández-Méndez F, Fernandez-Piedade MT, Ford H, Forey E, Freschet GT, Gachet S, Gallagher R, Green W, Guerin GR, Gutiérrez AG, Harrison SP, Hattingh WN, He T, Hickler T, Higgins SI, Higuchi P, Ilic J, Jackson RB, Jalili A, Jansen S, Koike F, König C, Kraft N, Kramer K, Kreft H, Kühn I, Kurokawa H, Lamb EG, Laughlin DC, Leishman M, Lewis S, Louault F, Malhado ACM, Manning P, Meir P, Mencuccini M, Messier J, Miller R, Minden V, Molofsky J, Montgomery R, Montserrat-Martí G, Moretti M, Müller S, Niinemets Ü, Ogaya R, Öllerer K, Onipchenko V, Onoda Y, Ozinga WA, Pausas JG, Peco B, Penuelas J, Pillar VD, Pladevall C, Römermann C, Sack L, Salinas N, Sandel B, Sardans J, Schamp B, Scherer-Lorenzen M, Schulze ED, Schweingruber F, Shiodera S, Sosinski Ê, Soudzilovskaia N, Spasojevic MJ, Swaine E, Swenson N, Tautenhahn S, Thompson K, Totte A, Urrutia-Jalabert R, Valladares F, van Bodegom P, Vasseur F, Verheyen K, Vile D, Violle C, von Holle B, Weigelt P, Weiher E, Wiemann MC, Williams M, Wright J, Zotz G. The global spectrum of plant form and function: enhanced species-level trait dataset. Sci Data 2022; 9:755. [PMID: 36477373 PMCID: PMC9729214 DOI: 10.1038/s41597-022-01774-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Accepted: 10/12/2022] [Indexed: 12/12/2022] Open
Abstract
Here we provide the 'Global Spectrum of Plant Form and Function Dataset', containing species mean values for six vascular plant traits. Together, these traits -plant height, stem specific density, leaf area, leaf mass per area, leaf nitrogen content per dry mass, and diaspore (seed or spore) mass - define the primary axes of variation in plant form and function. The dataset is based on ca. 1 million trait records received via the TRY database (representing ca. 2,500 original publications) and additional unpublished data. It provides 92,159 species mean values for the six traits, covering 46,047 species. The data are complemented by higher-level taxonomic classification and six categorical traits (woodiness, growth form, succulence, adaptation to terrestrial or aquatic habitats, nutrition type and leaf type). Data quality management is based on a probabilistic approach combined with comprehensive validation against expert knowledge and external information. Intense data acquisition and thorough quality control produced the largest and, to our knowledge, most accurate compilation of empirically observed vascular plant species mean traits to date.
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Affiliation(s)
- Sandra Díaz
- Consejo Nacional de investigaciones Científicas y Técnicas, Instituto Multidisciplinario de Biología Vegetal (IMBIV), Córdoba, Argentina.
- Facultad de Ciencias Exactas, Físicas y Naturales, Universidad Nacional de Córdoba, Casilla de Correo 495, 5000, Córdoba, Argentina.
| | - Jens Kattge
- Max Planck Institute for Biogeochemistry, Hans-Knöll Str. 10, 07745, Jena, Germany.
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany.
| | | | - Ian J Wright
- Hawkesbury Institute for the Environment, Western Sydney University, Locked Bag 1797, Penrith, NSW, 2751, Australia
- School of Natural Sciences, Macquarie University, Sydney, NSW, 2109, Australia
| | - Sandra Lavorel
- Univ. Grenoble Alpes, CNRS, Univ. Savoie Mont Blanc, LECA, Grenoble, France
| | - Stéphane Dray
- Univ Lyon, Université Claude Bernard Lyon 1, CNRS, Laboratoire de Biométrie et Biologie Evolutive, F-69100, Villeurbanne, France
| | - Björn Reu
- Escuela de Biología, Universidad Industrial de Santander, Cra. 27 Calle 9, 680002, Bucaramanga, Colombia
| | - Michael Kleyer
- Landscape Ecology Group, Inst. of Biology and Environmental Sciences, University of Oldenburg, 26111, Oldenburg, Germany
| | - Christian Wirth
- Max Planck Institute for Biogeochemistry, Hans-Knöll Str. 10, 07745, Jena, Germany
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany
- University of Leipzig, Leipzig, Germany
| | - I Colin Prentice
- School of Natural Sciences, Macquarie University, Sydney, NSW, 2109, Australia
- Georgina Mace Centre for the Living Planet, Department of Life Sciences, Imperial College London, Silwood Park Campus, Buckhurst Road, Ascot, SL5 7PY, UK
- Ministry of Education Key Laboratory for Earth System Modelling, Department of Earth System Science, Tsinghua University, Beijing, 100084, China
| | - Eric Garnier
- CEFE, Univ Montpellier, CNRS, EPHE, IRD, Montpellier, France
| | - Gerhard Bönisch
- Max Planck Institute for Biogeochemistry, Hans-Knöll Str. 10, 07745, Jena, Germany
| | - Mark Westoby
- School of Natural Sciences, Macquarie University, Sydney, NSW, 2109, Australia
| | - Hendrik Poorter
- School of Natural Sciences, Macquarie University, Sydney, NSW, 2109, Australia
- Plant Sciences (IBG2), Forschungszentrum Jülich, Jülich, Germany
| | - Peter B Reich
- Hawkesbury Institute for the Environment, Western Sydney University, Locked Bag 1797, Penrith, NSW, 2751, Australia
- Department of Forest Resources, 1530 Cleveland Ave. N., University of Minnesota, St. Paul, MN, 55108, USA
- Institute for Global Change Biology and School for Environment and Sustainability, University of Michigan, Ann Arbor, USA
| | - Angela T Moles
- Evolution & Ecology Research Centre, School of Biological, Earth and Environmental Sciences, UNSW, Sydney, NSW, 2052, Australia
| | - John Dickie
- Wellcome Trust Millennium Building, Royal Botanic Gardens Kew, Wakehurst Place, Ardingly, West Sussex, RH17 6TN, UK
| | - Amy E Zanne
- Department of Biology, University of Miami, Miami, FL, 33146, USA
- Department of Biological Sciences, George Washington University, Washington, DC, 20052, USA
| | - Jérôme Chave
- Laboratoire Evolution et Diversité Biologique UMR 5174 CNRS, IRD, Université Paul Sabatier, 31062, Toulouse, France
| | | | | | - Hervé Jactel
- INRAE, University of Bordeaux, BIOGECO, F-33610, Cestas, France
| | - Christopher Baraloto
- International Center for Tropical Botany, Department of Biological Sciences, Florida International University, Miami, FL, 33199, USA
| | - Bruno E L Cerabolini
- Department of Biotechnologies and Life Sciences (DBSV), University of Insubria, via Dunant 3, IT-21100, Varese, Italy
| | - Simon Pierce
- Department of Agricultural and Environmental Sciences (DiSAA), University of Milan, via Celoria 2, Milan, IT-20133, Italy
| | - Bill Shipley
- Université de Sherbrooke, Sherbrooke, QC, Canada
| | - Fernando Casanoves
- CATIE-Centro Agronómico Tropical de Investigación y Enseñanza, Turrialba, Costa Rica
| | - Julia S Joswig
- Max Planck Institute for Biogeochemistry, Hans-Knöll Str. 10, 07745, Jena, Germany
- University of Zurich Department of Geography, Winterthurerstrasse 190, 8057, Zürich, Switzerland
| | - Angela Günther
- Max Planck Institute for Biogeochemistry, Hans-Knöll Str. 10, 07745, Jena, Germany
| | - Valeria Falczuk
- Consejo Nacional de investigaciones Científicas y Técnicas, Instituto Multidisciplinario de Biología Vegetal (IMBIV), Córdoba, Argentina
- Facultad de Ciencias Exactas, Físicas y Naturales, Universidad Nacional de Córdoba, Casilla de Correo 495, 5000, Córdoba, Argentina
| | - Nadja Rüger
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany
- Smithsonian Tropical Research Institute, Panamá, Panama
- Department of Economics, University of Leipzig, Leipzig, Germany
| | - Miguel D Mahecha
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany
- Remote Sensing Centre for Earth System Research, Leipzig University, Leipzig, Germany
| | - Lucas D Gorné
- Consejo Nacional de investigaciones Científicas y Técnicas, Instituto Multidisciplinario de Biología Vegetal (IMBIV), Córdoba, Argentina
| | | | - Owen K Atkin
- Division of Plant Sciences, Research School of Biology, Australian National University, Canberra, 2601, ACT, Australia
| | - Michael Bahn
- Department of Ecology, University of Innsbruck, Innsbruck, Austria
| | | | - Michael Beckmann
- Helmholtz Centre for Environmental Research - UFZ, Department of Computational Landscape Ecology, 04318, Leipzig, Germany
| | - Benjamin Blonder
- Department of Environmental Science, Policy, and Management, University of California at Berkeley, Berkeley, California, USA
- Environmental Change Institute, School of Geography and the Environment, University of Oxford, South Parks Road, Oxford, United Kingdom
| | - William Bond
- University of CapeTown, Biological Sciences, Rondebosch, 7701, Cape Town, South Africa
- South African Environmental Observation Network, c/o Fynbos node, Private Bag X7, Claremont, 7735, South Africa
| | - Ben Bond-Lamberty
- Pacific Northwest National Laboratory, Joint Global Change Research Institute at the University of Maryland-College Park, College Park, MD, 20740, USA
| | - Kerry Brown
- Kingston University London, Department of Geography, Geology and the Environment, Kingston Upon Thames, UK
| | - Sabina Burrascano
- Department of Environmental Biology, Sapienza University of Rome, Roma, Italy
| | - Chaeho Byun
- Department of Biological Sciences and Biotechnology, Andong National University, Andong, 36729, Korea
| | - Giandiego Campetella
- School of Biosciences & Veterinary Medicine - Plant Diversity and Ecosystems Management Unit, University of Camerino, Camerino, Italy
| | - Jeannine Cavender-Bares
- Department of Ecology, Evolution and Behavior, University of Minnesota, Saint Paul, MN, 55108, USA
| | - F Stuart Chapin
- Institute of Arctic Biology, University of Alaska Fairbanks, Fairbanks, AK, 99775, USA
| | - Brendan Choat
- Hawkesbury Institute for the Environment, Western Sydney University, Locked Bag 1797, Penrith, NSW, 2751, Australia
| | - David Anthony Coomes
- Department of Plant Sciences, University of Cambridge Conservation Initiative, Pembroke St, Cambridge, CB2, UK
| | - William K Cornwell
- Evolution & Ecology Research Centre, School of Biological, Earth and Environmental Sciences, UNSW, Sydney, NSW, 2052, Australia
| | | | - Dylan Craven
- Centro de Modelación y Monitoreo de Ecosistemas, Facultad de Ciencias, Universidad Mayor, Santiago, Chile
| | - Matteo Dainese
- Institute for Alpine Environment, Eurac Research, Viale Druso 1, 39100, Bozen/Bolzano, Italy
| | | | - Franciska T de Vries
- Institute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, Amsterdam, Netherlands
| | - Tomas Ferreira Domingues
- Faculdade de Filosofia, Ciências e Letras - Universidade de São Paulo - Depto. de Biologia, Ribeirão Preto, Brazil
| | - Brian J Enquist
- Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, 85721, USA
- The Santa Fe Institute 1399 Hyde Park Rd., Santa Fe, NM, 87501, USA
| | - Jaime Fagúndez
- Biology department, BioCost group, Centro interdisciplinar de química y biología CICA, University of A Coruña, 15071A, Coruña, Spain
| | - Jingyun Fang
- Institute of Ecology, College of Urban and Environmental Sciences, and Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing, 100871, China
| | - Fernando Fernández-Méndez
- Grupo de Investigación en Biodiversidad y Dinámica de Ecosistémas Tropicales - Universidad del Tolima, Ibagué, Colombia
- Centro Forestal Tropical Bajo Calima, Universidad del Tolima, Buenaventura, Costa Rica
| | - Maria T Fernandez-Piedade
- Instituto Nacional de Pesquisas da Amazônia, Av. André Araújo, 2.936 - Petrópolis - CEP, 69067-375, Manaus, AM, Brasil
| | - Henry Ford
- Ecological Flora of the British Isles, Bath, UK
| | - Estelle Forey
- Université de Rouen Normandie- INRAE, 76000, Rouen, France
| | - Gregoire T Freschet
- Theoretical and Experimental Ecology Station, CNRS, Paul Sabatier University, 09200, Moulis, France
| | - Sophie Gachet
- IMBE, Aix Marseille Univ, CNRS, IRD, Avignon Univ, Marseille, France
| | - Rachael Gallagher
- School of Natural Sciences, Macquarie University, Sydney, NSW, 2109, Australia
| | - Walton Green
- Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, 02138, USA
| | - Greg R Guerin
- School of Biological Sciences, The University of Adelaide, Adelaide, SA, 5005, Australia
| | - Alvaro G Gutiérrez
- Departamento de Ciencias Ambientales y Recursos Naturales Renovables, Facultad de Ciencias Agronómicas, Universidad de Chile, Av. Santa Rosa 11315, La Pintana, 8820808, Santiago, Chile
- Institute of Ecology and Biodiversity (IEB), Concepción, Chile
| | | | | | - Tianhua He
- School of Molecular and Life Sciences, Curtin University, Perth, WA, Australia
- College of Science, Health, Engineering and Education, Murdoch University, Murdoch, WA, Australia
| | - Thomas Hickler
- Senckenberg Biodiversity and Climate Research Centre (SBiK-F), Senckenberganalge 25, 60325, Frankfurt/Main, Germany
- Institut of Physcial Geography, Goethe University, Altenhöferallee 1, 60438, Frankfurt/Main, Germany
| | | | | | - Jugo Ilic
- University of Melbourne, Melburne, Australia
- CSIRO, Melburne, Canada
| | - Robert B Jackson
- Department of Earth System Science, Woods Institute for the Environment, and Precourt Institute for Energy, Stanford, CA, USA
| | - Adel Jalili
- Research Institute of Forests and Rangeland, Agricultural Research, Education and Extension Organization (AREEO), Tehran, Iran
| | - Steven Jansen
- Institue of Systematic Botany and Ecology, Ulm University, Albert-Einstein-Allee 11, 89081, Ulm, Germany
| | - Fumito Koike
- Graduate School of Environment and Information Sciences, Yokohama National University, Yokohama, 240-8501, Japan
| | - Christian König
- Institute for Biochemistry and Biology, University of Potsdam, Potsdam, Germany
- Biodiversity, Macroecology & Biogeography, University of Goettingen, Büsgenweg 1, D-37077, Göttingen, Germany
| | - Nathan Kraft
- Department of Ecology and Evolutionary Biology, University of California, Los Angeles, 621 Charles E. Young Drive South, Los Angeles, California, 90095, USA
| | - Koen Kramer
- Wageningen University, Droevendaalsesteeg 4, 6700AA, Wageningen, Netherlands
- Land Life Company, Mauritskade 63, 1092AD, Amsterdam, Netherlands
| | - Holger Kreft
- Biodiversity, Macroecology & Biogeography, University of Goettingen, Büsgenweg 1, D-37077, Göttingen, Germany
- Centre of Biodiversity and Sustainable Land Use (CBL), University of Goettingen, Büsgenweg 1, D-37077, Göttingen, Germany
| | - Ingolf Kühn
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany
- Helmholtz Centre for Environmental Research - UFZ, Dept. Community Ecology, Theodor-Lieser-Str. 4, 06120, Halle, Germany
- Martin Luther University Halle-Wittenberg, Geobotany and Botanical Garden, Am Kirchtor 1, 06108, Halle, Germany
| | - Hiroko Kurokawa
- Forestry and Forest Products Research Institute, Tsukuba, 305-8687, Japan
| | - Eric G Lamb
- Department of Plant Sciences, University of Saskatchewan, Saskatoon, SK, Canada
| | - Daniel C Laughlin
- Department of Botany, University of Wyoming, 1000 East University Ave, Laramie, WY, 82071, USA
| | - Michelle Leishman
- School of Natural Sciences, Macquarie University, Sydney, NSW, 2109, Australia
| | - Simon Lewis
- School of Geography, University of Leeds, Leeds, UK
| | - Frédérique Louault
- Université Clermont Auvergne, INRAE, VetAgro Sup, UMR Ecosystème Prairial, 63000, Clermont Ferrand, France
| | - Ana C M Malhado
- Instituto de Ciências Biológicas e da Saúde, Universidade Federal de Alagoas, Maceió, AL, 57072-900, Brazil
| | - Peter Manning
- Senckenberg Biodiversity and Climate Research Centre (SBiK-F), Senckenberganalge 25, 60325, Frankfurt/Main, Germany
- Department of Biological Sciences, University of Bergen, Bergen, Norway
| | - Patrick Meir
- Division of Plant Sciences, Research School of Biology, Australian National University, Canberra, 2601, ACT, Australia
- School of Geosciences, University of Edinburgh, Edinburgh, EH93FF, United Kingdom
| | - Maurizio Mencuccini
- CREAF, Cerdanyola del Vallès, 08193, Catalonia, Spain
- ICREA, Pg. Lluís Companys 23, 08010, Barcelona, Spain
| | - Julie Messier
- Department of Biology, University of Waterloo, Waterloo, ON, N2L 3G1, Canada
| | - Regis Miller
- Forest Products Lab, USDA Forest Service, Madison, Wisconsin, USA
| | - Vanessa Minden
- Landscape Ecology Group, Inst. of Biology and Environmental Sciences, University of Oldenburg, 26111, Oldenburg, Germany
- Department of Biology, Vrije Universiteit Brussel, Pleinlaan 2, 1050, Brussels, Belgium
| | - Jane Molofsky
- Department of Plant Biology, University of Vermont, Burlington, Vermont, 05405, USA
| | - Rebecca Montgomery
- Department of Forest Resources, 1530 Cleveland Ave. N., University of Minnesota, St. Paul, MN, 55108, USA
| | | | - Marco Moretti
- Biodiverstiy and Conservation Biology, Swiss Federal Research Institute WSL, Birmensdorf, 8903, Switzerland
| | - Sandra Müller
- Geobotany, Faculty of Biology, University of Freiburg, Schänzlestr. 1, 79104, Freiburg, Germany
| | - Ülo Niinemets
- Estonian University of Life Sciences, Kreutzwaldi 1, Tartu, 51006, Estonia
- Estonian Academy of Sciences, Kohtu 6, Tallinn, 10130, Estonia
| | - Romà Ogaya
- CREAF, Cerdanyola del Vallès, 08193, Catalonia, Spain
- CSIC, Global Ecology Unit CREAF-CSIC-UAB, Bellaterra, 08193, Catalonia, Spain
| | - Kinga Öllerer
- Institute of Biology Bucharest, Romanian Academy, 060031, Bucharest, Romania
- Institute of Ecology and Botany, Centre for Ecological Research, 2163, Vácrátót, Hungary
| | - Vladimir Onipchenko
- Department of Ecology and Plant Geography, Faculty of Biology, Moscow Lomonosov State University, 119234, Moscow, Russia
| | - Yusuke Onoda
- Graduate School of Agriculture, Kyoto University, Kyoto, 606-8502, Japan
| | - Wim A Ozinga
- Wageningen Environmental Research, PO Box 47, NL-6700 AA Wageningen, Wageningen, Netherlands
| | - Juli G Pausas
- Centro de Investigaciones sobre Desertificación, Consejo Superior de Investigaciones Científicas (CIDE-CSIC), Valencia, 46113, Spain
| | - Begoña Peco
- Centro de Investigacion en Biodiversidad y Cambio Global (CIBC-UAM), Departamento de Ecología, Universidad Autónoma de Madrid, E-28049, Madrid, Spain
| | - Josep Penuelas
- CREAF, Cerdanyola del Vallès, 08193, Catalonia, Spain
- CSIC, Global Ecology Unit CREAF-CSIC-UAB, Bellaterra, 08193, Catalonia, Spain
| | - Valério D Pillar
- Department of Ecology, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, 91501-970, Brazil
| | - Clara Pladevall
- Snow and Mountain Research Center of Andorra, Andorran Research + Innovation, Avda. Rocafort 21-23 Sant Julià de Lòria, Principality of Andorra, Julià de Lòria, Andorra
| | - Christine Römermann
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany
- Institute of Ecology and Evolution, Friedrich-Schiller University Jena, Philosophenweg 16, D-07743, Jena, Germany
| | - Lawren Sack
- Department of Ecology and Evolutionary Biology, University of California, Los Angeles, 621 Charles E. Young Drive South, Los Angeles, California, 90095, USA
| | - Norma Salinas
- Environmental Change Institute, School of Geography and the Environment, University of Oxford, South Parks Road, Oxford, United Kingdom
- Instituto de Ciencias de la Naturaleza, Territorio y Energías Renovables, Pontificia Universidad Católica del Perú, Lima, Peru
| | - Brody Sandel
- Department of Biology, Santa Clara University, 500 El Camino Real, Santa Clara, CA, 95053, USA
| | - Jordi Sardans
- CREAF, Cerdanyola del Vallès, 08193, Catalonia, Spain
- CSIC, Global Ecology Unit CREAF-CSIC-UAB, Bellaterra, 08193, Catalonia, Spain
| | - Brandon Schamp
- Department of Biology, Algoma University, Sault Ste, Marie, Ontario, P6A 6J8, Canada
| | | | - Ernst-Detlef Schulze
- Max Planck Institute for Biogeochemistry, Hans-Knöll Str. 10, 07745, Jena, Germany
| | - Fritz Schweingruber
- Landscape Dynamics, Swiss Federal Research Institute WSL, Birmensdorf, 8903, Switzerland
| | - Satomi Shiodera
- Department of Global Liberal Studies, Faculty of Global Liberal Studies, Nanzan University, Aichi, 466-8673, Japan
- Center for Southeast Asian Studies (CSEAS), Kyoto University, 46 Shimoadachi-cho, Yoshida, Sakyo-ku, Kyoto, 606-8501, Japan
| | | | - Nadejda Soudzilovskaia
- Centre for Environmental Sciences, Hasselt University, Hasselt, Belgium
- Institute of Environmental Sciences, Leiden University, Einsteinweg 2, 2333 CC, Leiden, Netherlands
| | - Marko J Spasojevic
- Department of Evolution, Ecology, and Organismal Biology, University of California Riverside, Riverside, California, 92521, USA
| | - Emily Swaine
- School of Biological Sciences, University of Aberdeen, Aberdeen, AB24 3FX, UK
| | - Nathan Swenson
- Department of Biological Sciences, University of Notre Dame, Notre Dame, IN, 46556, USA
| | - Susanne Tautenhahn
- Max Planck Institute for Biogeochemistry, Hans-Knöll Str. 10, 07745, Jena, Germany
| | - Ken Thompson
- Department of Animal and Plant Sciences, University of Sheffield, Western Bank, Sheffield, S10 2TN, UK
| | - Alexia Totte
- Département de biologie des organismes et écologie, Université libre de Bruxelles, Roosevelt, Belgique
| | - Rocío Urrutia-Jalabert
- Departamento de Ciencias Naturales y Tecnología, Universidad de Aysén, Coyhaique, Chile
- Center for Climate and Resilience Research CR2, Santiago, Chile
| | - Fernando Valladares
- National Museum of Natural Sciences, MNCN, CSIC, Serrano 115, 28006, Madrid, Spain
- University Rey Juan Carlos, Mostoles, Área de Biodiversidad y Conservación C/Tulipán sn, 28033, Móstoles, Madrid, Spain
| | - Peter van Bodegom
- Institute of Environmental Sciences, Leiden University, Einsteinweg 2, 2333 CC, Leiden, Netherlands
| | - François Vasseur
- CEFE, Univ Montpellier, CNRS, EPHE, IRD, Montpellier, France
- LEPSE, Univ Montpellier, INRAE, Institut Agro, Montpellier, France
| | - Kris Verheyen
- Forest & Nature Lab, Department of Environment, Ghent University, Geraardsbergsesteenweg 267, B-9090, Melle-Gontrode, Belgium
| | - Denis Vile
- LEPSE, Univ Montpellier, INRAE, Institut Agro, Montpellier, France
| | - Cyrille Violle
- CEFE, Univ Montpellier, CNRS, EPHE, IRD, Montpellier, France
| | - Betsy von Holle
- National Science Foundation, Division of Environmental Biology, Alexandria, VA, 22314, USA
| | - Patrick Weigelt
- Biodiversity, Macroecology & Biogeography, University of Goettingen, Büsgenweg 1, D-37077, Göttingen, Germany
- Centre of Biodiversity and Sustainable Land Use (CBL), University of Goettingen, Büsgenweg 1, D-37077, Göttingen, Germany
| | - Evan Weiher
- Department of Biology, University of Wisconsin - Eau Claire, Eau Claire, WI, 54702, USA
| | | | - Mathew Williams
- School of Geosciences, University of Edinburgh, Edinburgh, EH93FF, United Kingdom
| | - Justin Wright
- Department of Biology, Duke University, Durham, NC, USA
| | - Gerhard Zotz
- Smithsonian Tropical Research Institute, Panamá, Panama
- Functional Ecology Group, Inst. of Biology and Environmental Sciences, University of Oldenburg, 26111, Oldenburg, Germany
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Ma X, Yan Y, Hong J, Wang X. Comparison of Root Ecological Stoichiometry between Non-Growing Season and Growing Season of Grassland on the Chang Tang Plateau. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:14628. [PMID: 36429348 PMCID: PMC9689994 DOI: 10.3390/ijerph192214628] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Revised: 10/20/2022] [Accepted: 11/07/2022] [Indexed: 06/16/2023]
Abstract
Root C: N: P stoichiometry affect the geochemical cycles of ecosystems, while a few studies were conducted on it and its relationship with soil nutrients, especially in the non-growing season. In this study, we investigated the root C:N:P stoichiometry of alpine steppe(AS), alpine meadow steppe(AMS), and alpine meadow(AM) in April (non-growing season) and August(growing season) in 2013. The results showed that: (1) There were no differences in root C, N, P, C: N, C:P, and N:P with a depth of AS in April. However, root C and C: N increased with depth, while N and N:P decreased with a depth of AS in August. In both months, the variation of root C, N, P, C: N with depth in AM was consistent with that of AS in August, and root C at deep layer decreased in August, which indicated roots of AM began to grow in April No significant difference of root C, N, C: N and N:P with depth was found, while P and C:P varied between the two months of AMS. Root P content at 20-30 cm was higher than that of other soil layers in April, which was significantly higher than that of AS, while no significant difference was found in August. (2) Grassland types had significant effects on soil nutrients (except TP) at 0-10 cm and 20-30 cm soil layers. (3) No significant correlation between soil nutrients and root C, N, P, C: N, C: P, and N: P was found in April. Soil TN and AN content had a significant positive correlation with root N: P, indicating that soil nitrogen was the primary N source of the root. Soil TP and AP were significantly negatively correlated with root C and C: N in August. This study can provide basic data and provide theoretical support for further understanding the role of grassland roots in nutrient cycling.
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Affiliation(s)
- Xingxing Ma
- School of Geographical Sciences, Shanxi Normal University, Taiyuan 030031, China
| | - Yan Yan
- Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China
| | - Jiangtao Hong
- Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China
| | - Xiaodan Wang
- Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China
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Wu S, Wang R, Zhu H, Wang Y, Du Y, Zhu S, Zhao N. Changes in root chemical diversity along an elevation gradient of Changbai Mountain, China. FRONTIERS IN PLANT SCIENCE 2022; 13:897838. [PMID: 36420024 PMCID: PMC9676470 DOI: 10.3389/fpls.2022.897838] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Accepted: 10/11/2022] [Indexed: 06/16/2023]
Abstract
Root chemical traits play a critical role in plant resource use strategies and ecosystem nutrient cycling; however, the chemical diversity of multiple elements of fine root and community chemical assembly belowground are poorly understood. Here, we measured 13 elements (C, N, K, Ca, Mg, S, P, Al, Fe, Na, Mn, Zn, and Cu) in the fine roots of 204 plant species along elevational transect from 540 to 2357 m of Changbai Mountain, China to explore the variation, diversity, and community assembly of root chemical traits. At the species level, the concentrations of macronutrients (N, K, Ca, Mg, S, and P) decreased, whereas the trace metals (Fe, Mn, and Zn) increased with elevation. Root chemical traits at the community level systematically shifted along elevational gradients showing a pattern similar to that at the species level, which were mainly influenced by climate and soil rather than species diversity. In general, the interactions of climate and soil were the main drivers of root chemical assembly for woody layers, whereas soil factors played significant role for root chemical assembly for herb layer. The chemical assembly of rock-derived element P was mainly driven by soil factors. Meanwhile, root chemical diversities were mainly regulated by species diversity, the interactions of climate and soil, and soil factors in the tree, shrub, and herb layers, respectively. A better understanding of plant root chemical diversity and community chemical assembly will help to reveal the role of chemical traits in ecosystem functioning.
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Affiliation(s)
- Shihua Wu
- State Key Laboratory of Grassland Agroecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, China
| | - Ruili Wang
- College of Forestry, Northwest A&F University, Yangling, China
| | - Haihua Zhu
- State Key Laboratory of Grassland Agroecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, China
| | - Yuan Wang
- State Key Laboratory of Grassland Agroecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, China
| | - Yanyan Du
- State Key Laboratory of Grassland Agroecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, China
| | - Sihao Zhu
- State Key Laboratory of Grassland Agroecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, China
| | - Ning Zhao
- State Key Laboratory of Grassland Agroecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, China
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Zhao W, Xiao C, Li M, Xu L, Li X, He N. Spatial variation and allocation of sulfur among major plant organs in China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 844:157155. [PMID: 35798121 DOI: 10.1016/j.scitotenv.2022.157155] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/21/2022] [Revised: 06/29/2022] [Accepted: 06/30/2022] [Indexed: 06/15/2023]
Abstract
Sulfur (S) is a functional element that plays an important role in abiotic stress resistance and environmental adaptation in plants. However, knowledge of the biogeographic patterns of S among major plant organs remains limited. We conducted a methodologically consistent field survey of 2745 plant species across 78 typical communities throughout China. From this, we constructed a new matched database of S content in leaves, twigs, trunks, and roots to explore S allocation strategies in plants to better understand the regulatory mechanisms on a large scale. The average S content in leaves, twigs, trunks, and roots of plants in China was 2.32 ± 0.04, 1.13 ± 0.02, 0.15 ± 0.01, and 1.23 ± 0.02 g kg-1, respectively. S content was significantly higher in leaves than in other organs, and S content of plants in deserts was higher than that of plants in forests and grasslands. S content changed faster in roots and showed divergent allocation relationships among organs across communities at different scales. Climate and soil properties jointly regulated the spatial variation and allocation relationships of S among different organs. This study further broadens our understanding of the biological functions of S and their role in the interactions between plants and the environment.
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Affiliation(s)
- Wenzong Zhao
- Key Laboratory of Ecology and Environment in Minority Areas (Minzu University of China), National Ethnic Affairs Commission, Beijing 100081, China; College of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China; Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
| | - Chunwang Xiao
- Key Laboratory of Ecology and Environment in Minority Areas (Minzu University of China), National Ethnic Affairs Commission, Beijing 100081, China; College of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China.
| | - Mingxu Li
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
| | - Li Xu
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
| | - Xin Li
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
| | - Nianpeng He
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 10049, China; Center for Ecological Research, Northeast Forestry University, 150040, Harbin, China.
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31
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Qin H, Jiao L, Zhou Y, Wu J, Che X. Elevation affects the ecological stoichiometry of Qinghai spruce in the Qilian Mountains of northwest China. FRONTIERS IN PLANT SCIENCE 2022; 13:917755. [PMID: 36186057 PMCID: PMC9515584 DOI: 10.3389/fpls.2022.917755] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Accepted: 08/15/2022] [Indexed: 06/16/2023]
Abstract
Environmental heterogeneity in temperature, moisture, and soil fertility caused by elevation gradients can affect the trade-offs in the survival strategies of tree species. There is uncertainty about the allocation of resources to different tissues of trees in response to the elevation gradient with respect to carbon (C), nitrogen (N), and phosphorus (P). Here, the C, N, and P content of leaves, branches, trunks, and thick and fine roots of Picea crassifolia (Qinghai spruce) and their stoichiometric changes across three different elevations were investigated in the Qilian Mountains. We found that N:P of Qinghai spruce was <14 in all tissues at most elevations, indicating that Qinghai spruce was more susceptible to N limitation. Meanwhile, the N content and N:P of Qinghai spruce each were significantly negatively correlated with temperature (p < 0.05), and its P content was lower at high elevation. The contribution of soil-climate interactions on the elevation gradient to each tissue type was 34.02% (leaves), 16.84% (branches), 67.78% (trunks), 34.74% (thick roots), and 49.84% (fine roots), indicating that interacting climate and soil factors on the elevation gradient predominately drove the C, N, and P content and stoichiometry variation in each tissue type of Qinghai spruce trees. The results of this study clarify that the elevation gradient regulates the elemental content and resource allocation in Qinghai spruce, providing basic data and an important timely reference for future forest management in the regions where coniferous trees grows. These findings also help improve our understanding of elevational patterns of forest ecosystem stoichiometry in arid and semiarid regions.
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Affiliation(s)
- Huijun Qin
- College of Geography and Environment Science, Northwest Normal University, Lanzhou, China
- Key Laboratory of Resource Environment and Sustainable Development of Oasis, Gansu Province, Lanzhou, China
| | - Liang Jiao
- College of Geography and Environment Science, Northwest Normal University, Lanzhou, China
- Key Laboratory of Resource Environment and Sustainable Development of Oasis, Gansu Province, Lanzhou, China
| | - Yi Zhou
- College of Geography and Environment Science, Northwest Normal University, Lanzhou, China
- Key Laboratory of Resource Environment and Sustainable Development of Oasis, Gansu Province, Lanzhou, China
| | - Jingjing Wu
- College of Geography and Environment Science, Northwest Normal University, Lanzhou, China
- Key Laboratory of Resource Environment and Sustainable Development of Oasis, Gansu Province, Lanzhou, China
| | - Xichen Che
- College of Geography and Environment Science, Northwest Normal University, Lanzhou, China
- Key Laboratory of Resource Environment and Sustainable Development of Oasis, Gansu Province, Lanzhou, China
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Liu J, Gou X, Wang F, Zhang F, Zhang J, Xia J, Wang Y. Nutrient allocation strategies of four conifers from semiarid to extremely arid environments. PLANT PHYSIOLOGY AND BIOCHEMISTRY : PPB 2022; 186:257-265. [PMID: 35932650 DOI: 10.1016/j.plaphy.2022.07.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Revised: 07/06/2022] [Accepted: 07/11/2022] [Indexed: 06/15/2023]
Abstract
Although the contents of limiting elements in plants, such as nitrogen (N) and phosphorus (P), have been widely studied from subtropical to humid-temperate zones, the strategies used by coniferous species to allocation N and P in arid and semiarid forests remain unclear. In this study, samples of 545 leaves, 194 twigs, and 78 fine roots were collected from four coniferous species (Pinus tabuliformis, Picea wilsonii, Juniperus przewalskii, and Picea crassifolia) of three genera (Pinus, Picea, and Juniperus) in the northeastern Tibetan Plateau, and the contents of C, N, and P were analyzed. Two key parameters, namely the allometric exponent and coefficient of variation, were calculated to illustrate the relative investment of plants to N and P uptake and plasticity (variation of N and P), respectively. The contents of N and P and the N:P ratios were the highest in leaves, but their plasticity was the lowest. This confirmed the hypothesis that the leaves of coniferous species have a high content of limiting nutrients and homeostasis. At the regional level, the allometric exponent of N and P in leaves was 0.68, 0.74 in twigs, and 0.78 in fine roots, which is consistent with the results on a global scale. Thus, this invariant allometric relationship suggests the existence of an important mechanism that constrains the allocation of plant nutrients across broad environmental gradients. However, the allocation strategies for N and P shifted with the species, climate, and soil nutrients. Namely: their preferred nutrient uptake was P when the trees had a better nutritional status (semiarid environments, mean annual precipitations (MAP) > 300 mm), but the investment of N was strengthened when the habitat conditions become more severe (extremely arid environments, MAP <100 mm). Thus, our results can provide a novel perspective to understand the strategies of plant nutrient uptake in arid and semiarid forests.
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Affiliation(s)
- Jianguo Liu
- MOE Key Laboratory of Western China's Environmental Systems, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, 730000, China; Gansu Liancheng Forest Ecosystem Field Observation and Research Station, Lanzhou University, Lanzhou, 730333, China
| | - Xiaohua Gou
- MOE Key Laboratory of Western China's Environmental Systems, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, 730000, China; Gansu Liancheng Forest Ecosystem Field Observation and Research Station, Lanzhou University, Lanzhou, 730333, China.
| | - Fang Wang
- MOE Key Laboratory of Western China's Environmental Systems, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, 730000, China; Gansu Liancheng Forest Ecosystem Field Observation and Research Station, Lanzhou University, Lanzhou, 730333, China
| | - Fen Zhang
- MOE Key Laboratory of Western China's Environmental Systems, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, 730000, China; Gansu Liancheng Forest Ecosystem Field Observation and Research Station, Lanzhou University, Lanzhou, 730333, China
| | - Junzhou Zhang
- MOE Key Laboratory of Western China's Environmental Systems, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, 730000, China; Gansu Liancheng Forest Ecosystem Field Observation and Research Station, Lanzhou University, Lanzhou, 730333, China
| | - Jingqing Xia
- MOE Key Laboratory of Western China's Environmental Systems, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, 730000, China; Gansu Liancheng Forest Ecosystem Field Observation and Research Station, Lanzhou University, Lanzhou, 730333, China
| | - Yanfang Wang
- MOE Key Laboratory of Western China's Environmental Systems, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, 730000, China
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Palacio S, Cera A, Escudero A, Luzuriaga AL, Sánchez AM, Mota JF, Pérez‐Serrano Serrano M, Merlo ME, Martínez‐Hernández F, Salmerón‐Sánchez E, Mendoza‐Fernández AJ, Pérez‐García FJ, Montserrat‐Martí G, Tejero P. Recent and ancient evolutionary events shaped plant elemental composition of edaphic endemics: a phylogeny-wide analysis of Iberian gypsum plants. THE NEW PHYTOLOGIST 2022; 235:2406-2423. [PMID: 35704043 PMCID: PMC9545410 DOI: 10.1111/nph.18309] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/20/2021] [Accepted: 05/24/2022] [Indexed: 05/19/2023]
Abstract
The analysis of plant elemental composition and the underlying factors affecting its variation are a current hot topic in ecology. Ecological adaptation to atypical soils may shift plant elemental composition. However, no previous studies have evaluated its relevance against other factors such as phylogeny, climate or individual soil conditions. We evaluated the effect of the phylogeny, environment (climate, soil), and affinity to gypsum soils on the elemental composition of 83 taxa typical of Iberian gypsum ecosystems. We used a new statistical procedure (multiple phylogenetic variance decomposition, MPVD) to decompose total explained variance by different factors across all nodes in the phylogenetic tree of target species (covering 120 million years of Angiosperm evolution). Our results highlight the relevance of phylogeny on the elemental composition of plants both at early (with the development of key preadaptive traits) and recent divergence times (diversification of the Iberian gypsum flora concurrent with Iberian gypsum deposit accumulation). Despite the predominant phylogenetic effect, plant adaptation to gypsum soils had a strong impact on the elemental composition of plants, particularly on sulphur concentrations, while climate and soil effects were smaller. Accordingly, we detected a convergent evolution of gypsum specialists from different lineages on increased sulphur and magnesium foliar concentrations.
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Affiliation(s)
- Sara Palacio
- Instituto Pirenaico de Ecología (IPE‐CSIC)Av. Nuestra Señora de la Victoria 1622700JacaHuescaSpain
| | - Andreu Cera
- Instituto Pirenaico de Ecología (IPE‐CSIC)Av. Nuestra Señora de la Victoria 1622700JacaHuescaSpain
- Departament de Biologia Evolutiva, Ecologia i Ciències Ambientals (BEECA), Secció de Botànica i Micologia, Facultat de BiologiaUniversitat de BarcelonaDiagonal 64308028BarcelonaSpain
| | - Adrián Escudero
- Área de Biodiversidad y Conservación, Departamento de Biología y Geología, Física y Química InorgánicaUniversidad Rey Juan Carlos28933Móstoles, MadridSpain
| | - Arantzazu L. Luzuriaga
- Área de Biodiversidad y Conservación, Departamento de Biología y Geología, Física y Química InorgánicaUniversidad Rey Juan Carlos28933Móstoles, MadridSpain
| | - Ana M. Sánchez
- Área de Biodiversidad y Conservación, Departamento de Biología y Geología, Física y Química InorgánicaUniversidad Rey Juan Carlos28933Móstoles, MadridSpain
| | - Juan Francisco Mota
- Departamento de Biología y Geología, CEI·MAR and CECOUALUniversidad de Almería04120AlmeríaSpain
| | | | - M. Encarnación Merlo
- Departamento de Biología y Geología, CEI·MAR and CECOUALUniversidad de Almería04120AlmeríaSpain
| | | | | | - Antonio Jesús Mendoza‐Fernández
- Departamento de Biología y Geología, CEI·MAR and CECOUALUniversidad de Almería04120AlmeríaSpain
- Departamento de Botánica, Unidad de Conservación VegetalUniversidad de Granada18071GranadaSpain
| | | | | | - Pablo Tejero
- Instituto Pirenaico de Ecología (IPE‐CSIC)Av. Nuestra Señora de la Victoria 1622700JacaHuescaSpain
- Botanika Saila, Sociedad de Ciencias AranzadiZorroagagaina 1120014Donostia‐San SebastianGipuzkoaSpain
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Luo G, Li J, Guo S, Li Y, Jin Z. Photosynthesis, Nitrogen Allocation, Non-Structural Carbohydrate Allocation, and C:N:P Stoichiometry of Ulmus elongata Seedlings Exposed to Different Light Intensities. Life (Basel) 2022; 12:life12091310. [PMID: 36143347 PMCID: PMC9506466 DOI: 10.3390/life12091310] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Revised: 08/16/2022] [Accepted: 08/23/2022] [Indexed: 11/21/2022] Open
Abstract
The leaf photosynthetic capacity, leaf N partitioning, non-structural carbohydrate content, C, N, and P contents of endangered U. elongata seedlings exposed to different light intensities were compared in this study. The most favorable light condition for the survival and growth of U. elongata seedlings in the present study was 100% full sunlight, as this induced higher Pn, PNUE, PC, PR, PB, and NSC content relative to shade-treated seedlings. PNUE, PR, PC, and PB in U. elongata seedling leaves decreased under 40% and 10% full sunlight, while PL increased, indicating that shade increased the light capture efficiency of photosystem (PS) II but decreased electron transfer from PSII to PSI. Furthermore, leaf N content increased with shade intensity, revealing an adaptive strategy for poor light environments. Additionally, the smallest leaf biomass, Pn, WUE, and CE values and C:N and C:P ratios in stems and leaves were observed under 10% full sunlight. These results indicate that seedlings growing under 40% full sunlight will benefit U. elongata conservation.
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Affiliation(s)
- Guangyu Luo
- College of Life Sciences, Shanghai Normal University, Shanghai 200234, China
- Institute of Ecology, Taizhou University, Taizhou 318000, China
- Zhejiang Provincial Key Laboratory of Plant Evolutionary Ecology and Conservation, Taizhou University, Taizhou 318000, China
| | - Junmin Li
- Institute of Ecology, Taizhou University, Taizhou 318000, China
- Zhejiang Provincial Key Laboratory of Plant Evolutionary Ecology and Conservation, Taizhou University, Taizhou 318000, China
| | - Shuiliang Guo
- College of Life Sciences, Shanghai Normal University, Shanghai 200234, China
| | - Yueling Li
- Institute of Ecology, Taizhou University, Taizhou 318000, China
- Zhejiang Provincial Key Laboratory of Plant Evolutionary Ecology and Conservation, Taizhou University, Taizhou 318000, China
| | - Zexin Jin
- Institute of Ecology, Taizhou University, Taizhou 318000, China
- Zhejiang Provincial Key Laboratory of Plant Evolutionary Ecology and Conservation, Taizhou University, Taizhou 318000, China
- Correspondence:
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35
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Impact of Selected Environmental Factors on Variation in Leaf and Branch Traits on Endangered Karst Woody Plants of Southwest China. FORESTS 2022. [DOI: 10.3390/f13071080] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
We explored the adaptability of endangered plants in degraded karst habitats through functional trait variation, using three endangered woody plants (E. cavaleriei, H. bodinieri and K. septentrionalis) in karst peak-cluster depression. We investigated the variation decomposition and correlation analysis of 13 branch and leaf functional traits using a mixed linear model, variance decomposition, Pearson’s correlation analysis, random forest regression, and generalized linear regression. The degree of variation in phosphorus concentration in the branches was the highest, while that in the carbon concentration in the leaves was the smallest. The variation in the carbon concentration in the branches and leaves, and the dry matter concentration in the leaves was mainly within species, while the variation in other functional traits was mainly between species. We found significant correlations among leaf traits, branch traits, and leaf–branch traits to different degrees; however, there were no significant correlations among branch traits in H. bodinieri. The significant correlations were higher in E. cavaleriei and K. septentrionalis than in H. bodinieri. Plant functional traits were influenced by soil and topographic factors, and the relationship between them varied by species. Our findings will enhance our understanding of the variation in leaf and branch traits in karst endangered plants and the adaptative strategies of endangered plants in degraded habitat, and will provide a scientific basis for vegetation conservation in the karst region of southwest China.
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Zhou Y, Shen X, Chen Y, Wang L, Zhang J, Xu Z, Guo L, Tan B, Wang L, You C, Liu Y. Both specific plant functional type loss and vegetation change influence litter metallic element release in an alpine treeline ecotone. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:41544-41556. [PMID: 35094284 DOI: 10.1007/s11356-022-18778-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Accepted: 01/17/2022] [Indexed: 06/14/2023]
Abstract
Climate warming changes the plant community composition and biodiversity. Dominate species or plant functional types (PFTs) loss may influence alpine ecosystem processes, but much uncertainty remains. This study tested whether loss of specific PFTs and vegetation variation would impact the metallic element release of mixed litter in an alpine treeline ecotone. Six representative PFTs in the alpine ecosystem on the eastern Tibetan Plateau were selected. Litterbags were used to determine the release of potassium, calcium, magnesium, sodium, manganese, zinc, copper, iron, and aluminum from litter loss of specific PFTs after 669 days of decomposition in coniferous forest (CF) and alpine shrubland (AS). The results showed that potassium, sodium, magnesium, and copper were net released, while aluminum, iron, and manganese were accumulated after 669 days. Functional type mixtures promoted the release of potassium, sodium, aluminum, and zinc (synergistic effect), while inhibiting the release of calcium, magnesium, and iron (antagonistic effect). Further, loss of specific plant functional type significantly affected the aluminum and iron release rates and the relatively mixed effects of the potassium, aluminum, and iron release rates. The synergistic effects on potassium, sodium, and aluminum in AS were greater than those in CF, while the antagonistic effect of manganese release in AS was lower than that in CF. Therefore, increased altitude may further promote the synergistic effect of potassium, sodium, and aluminum release and alleviate the antagonistic effect of manganese in mixed litter. Finally, the initial stoichiometric ratios regulate the mixed effects of elemental release rates, with the nitrogen-related stoichiometric ratios playing the most important role. The regulation of elements release by stoichiometric ratios requires more in-depth and systematic studies, which will help us to understand the influence mechanism of decomposition more comprehensively.
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Affiliation(s)
- Yu Zhou
- Long-Term Research Station of Alpine Ecosystems, Key Laboratory of Ecological Forestry Engineering of Sichuan Province, Institute of Ecology & Forests, Sichuan Agricultural University, Chengdu, 611130, China
| | - Xian Shen
- Long-Term Research Station of Alpine Ecosystems, Key Laboratory of Ecological Forestry Engineering of Sichuan Province, Institute of Ecology & Forests, Sichuan Agricultural University, Chengdu, 611130, China
| | - Yamei Chen
- Key Laboratory of Southwest China Wildlife Resources Conservation, China West Normal University, Ministry of Education, Nanchong, 637009, Sichuan, China
| | - Lifeng Wang
- Long-Term Research Station of Alpine Ecosystems, Key Laboratory of Ecological Forestry Engineering of Sichuan Province, Institute of Ecology & Forests, Sichuan Agricultural University, Chengdu, 611130, China
| | - Jian Zhang
- Long-Term Research Station of Alpine Ecosystems, Key Laboratory of Ecological Forestry Engineering of Sichuan Province, Institute of Ecology & Forests, Sichuan Agricultural University, Chengdu, 611130, China
| | - Zhenfeng Xu
- Long-Term Research Station of Alpine Ecosystems, Key Laboratory of Ecological Forestry Engineering of Sichuan Province, Institute of Ecology & Forests, Sichuan Agricultural University, Chengdu, 611130, China
| | - Li Guo
- College of Landscape Architecture, Sichuan Agricultural University, Chengdu, 611130, China
| | - Bo Tan
- Long-Term Research Station of Alpine Ecosystems, Key Laboratory of Ecological Forestry Engineering of Sichuan Province, Institute of Ecology & Forests, Sichuan Agricultural University, Chengdu, 611130, China
| | - Lixia Wang
- Long-Term Research Station of Alpine Ecosystems, Key Laboratory of Ecological Forestry Engineering of Sichuan Province, Institute of Ecology & Forests, Sichuan Agricultural University, Chengdu, 611130, China
| | - Chengming You
- Long-Term Research Station of Alpine Ecosystems, Key Laboratory of Ecological Forestry Engineering of Sichuan Province, Institute of Ecology & Forests, Sichuan Agricultural University, Chengdu, 611130, China
| | - Yang Liu
- Long-Term Research Station of Alpine Ecosystems, Key Laboratory of Ecological Forestry Engineering of Sichuan Province, Institute of Ecology & Forests, Sichuan Agricultural University, Chengdu, 611130, China.
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37
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Gorné LD, Díaz S, Minden V, Onoda Y, Kramer K, Muir C, Michaletz ST, Lavorel S, Sharpe J, Jansen S, Slot M, Chacon E, Boenisch G. The acquisitive-conservative axis of leaf trait variation emerges even in homogeneous environments. ANNALS OF BOTANY 2022; 129:709-722. [PMID: 33245747 PMCID: PMC9113165 DOI: 10.1093/aob/mcaa198] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/14/2020] [Accepted: 11/18/2020] [Indexed: 05/12/2023]
Abstract
BACKGROUND AND AIMS The acquisitive-conservative axis of plant ecological strategies results in a pattern of leaf trait covariation that captures the balance between leaf construction costs and plant growth potential. Studies evaluating trait covariation within species are scarcer, and have mostly dealt with variation in response to environmental gradients. Little work has been published on intraspecific patterns of leaf trait covariation in the absence of strong environmental variation. METHODS We analysed covariation of four leaf functional traits [specific leaf area (SLA) leaf dry matter content (LDMC), force to tear (Ft) and leaf nitrogen content (Nm)] in six Poaceae and four Fabaceae species common in the dry Chaco forest of Central Argentina, growing in the field and in a common garden. We compared intraspecific covariation patterns (slopes, correlation and effect size) of leaf functional traits with global interspecific covariation patterns. Additionally, we checked for possible climatic and edaphic factors that could affect the intraspecific covariation pattern. KEY RESULTS We found negative correlations for the LDMC-SLA, Ft-SLA, LDMC-Nm and Ft-Nm trait pairs. This intraspecific covariation pattern found both in the field and in the common garden and not explained by climatic or edaphic variation in the field follows the expected acquisitive-conservative axis. At the same time, we found quantitative differences in slopes among different species, and between these intraspecific patterns and the interspecific ones. Many of these differences seem to be idiosyncratic, but some appear consistent among species (e.g. all the intraspecific LDMC-SLA and LDMC-Nm slopes tend to be shallower than the global pattern). CONCLUSIONS Our study indicates that the acquisitive-conservative leaf functional trait covariation pattern occurs at the intraspecific level even in the absence of relevant environmental variation in the field. This suggests a high degree of variation-covariation in leaf functional traits not driven by environmental variables.
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Affiliation(s)
- Lucas D Gorné
- Universidad Nacional de Córdoba, Facultad de Ciencias Exactas Físicas y Naturales, Córdoba, Argentina
- Consejo Nacional de Investigaciones Científicas y Técnicas, CONICET, IMBiV, Córdoba, Argentina
| | - Sandra Díaz
- Universidad Nacional de Córdoba, Facultad de Ciencias Exactas Físicas y Naturales, Córdoba, Argentina
- Consejo Nacional de Investigaciones Científicas y Técnicas, CONICET, IMBiV, Córdoba, Argentina
| | - Vanessa Minden
- Institute of Biology and Environmental Sciences, Landscape Ecology Group, University of Oldenburg, Oldenburg, Germany
- Department of Biology, Ecology and Biodiversity, Vrije Universiteit Brussel, Brussels, Belgium
| | - Yusuke Onoda
- Division of Forest and Biomaterials Science, Graduate School of Agriculture, Kyoto University, Oiwake, Kitashirakawa, Kyoto, Japan
| | - Koen Kramer
- Wageningen University & Research, Wageningen University, The Netherlands
| | | | - Sean T Michaletz
- Department of Botany and Biodiversity Research Centre, University of British Columbia, Vancouver, British Columbia, Canada
| | | | | | - Steven Jansen
- Institute of Systematic Botany and Ecology, Ulm University, Ulm, Germany
| | - Martijn Slot
- Smithsonian Tropical Research Institute, Panama City, Republic of Panama
| | - Eduardo Chacon
- School of Biology, Universidad de Costa Rica, San José, Costa Rica
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38
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Guzmán‐Jacob V, Guerrero‐Ramírez NR, Craven D, Brant Paterno G, Taylor A, Krömer T, Wanek W, Zotz G, Kreft H. Broad‐ and small‐scale environmental gradients drive variation in chemical, but not morphological, leaf traits of vascular epiphytes. Funct Ecol 2022. [DOI: 10.1111/1365-2435.14084] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Affiliation(s)
- Valeria Guzmán‐Jacob
- Biodiversity, Macroecology and Biogeography University of Goettingen Göttingen Germany
| | | | - Dylan Craven
- Centro de Modelación y Monitoreo de Ecosistemas, Universidad Mayor Santiago de Chile Chile
| | - Gustavo Brant Paterno
- Biodiversity, Macroecology and Biogeography University of Goettingen Göttingen Germany
| | - Amanda Taylor
- Biodiversity, Macroecology and Biogeography University of Goettingen Göttingen Germany
| | - Thorsten Krömer
- Centro de Investigaciones Tropicales, Universidad Veracruzana, Xalapa Veracruz México
| | - Wolfgang Wanek
- Department of Microbiology and Ecosystem Science, Division of Terrestrial Ecosystem Research University of Vienna Austria
| | - Gerhard Zotz
- Institute for Biology and Environmental Sciences Carl von Ossietzky University Oldenburg Germany
| | - Holger Kreft
- Biodiversity, Macroecology and Biogeography University of Goettingen Göttingen Germany
- Centre of Biodiversity and Sustainable Land Use (CBL) University of Goettingen Göttingen Germany
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39
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Qiu T, Andrus R, Aravena MC, Ascoli D, Bergeron Y, Berretti R, Berveiller D, Bogdziewicz M, Boivin T, Bonal R, Bragg DC, Caignard T, Calama R, Camarero JJ, Chang-Yang CH, Cleavitt NL, Courbaud B, Courbet F, Curt T, Das AJ, Daskalakou E, Davi H, Delpierre N, Delzon S, Dietze M, Calderon SD, Dormont L, Espelta J, Fahey TJ, Farfan-Rios W, Gehring CA, Gilbert GS, Gratzer G, Greenberg CH, Guo Q, Hacket-Pain A, Hampe A, Han Q, Hille Ris Lambers J, Hoshizaki K, Ibanez I, Johnstone JF, Journé V, Kabeya D, Kilner CL, Kitzberger T, Knops JMH, Kobe RK, Kunstler G, Lageard JGA, LaMontagne JM, Ledwon M, Lefevre F, Leininger T, Limousin JM, Lutz JA, Macias D, McIntire EJB, Moore CM, Moran E, Motta R, Myers JA, Nagel TA, Noguchi K, Ourcival JM, Parmenter R, Pearse IS, Perez-Ramos IM, Piechnik L, Poulsen J, Poulton-Kamakura R, Redmond MD, Reid CD, Rodman KC, Rodriguez-Sanchez F, Sanguinetti JD, Scher CL, Schlesinger WH, Schmidt Van Marle H, Seget B, Sharma S, Silman M, Steele MA, Stephenson NL, Straub JN, Sun IF, Sutton S, Swenson JJ, Swift M, Thomas PA, Uriarte M, Vacchiano G, Veblen TT, Whipple AV, Whitham TG, Wion AP, Wright B, Wright SJ, Zhu K, Zimmerman JK, Zlotin R, Zywiec M, Clark JS. Limits to reproduction and seed size-number trade-offs that shape forest dominance and future recovery. Nat Commun 2022; 13:2381. [PMID: 35501313 PMCID: PMC9061860 DOI: 10.1038/s41467-022-30037-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Accepted: 04/13/2022] [Indexed: 11/09/2022] Open
Abstract
The relationships that control seed production in trees are fundamental to understanding the evolution of forest species and their capacity to recover from increasing losses to drought, fire, and harvest. A synthesis of fecundity data from 714 species worldwide allowed us to examine hypotheses that are central to quantifying reproduction, a foundation for assessing fitness in forest trees. Four major findings emerged. First, seed production is not constrained by a strict trade-off between seed size and numbers. Instead, seed numbers vary over ten orders of magnitude, with species that invest in large seeds producing more seeds than expected from the 1:1 trade-off. Second, gymnosperms have lower seed production than angiosperms, potentially due to their extra investments in protective woody cones. Third, nutrient-demanding species, indicated by high foliar phosphorus concentrations, have low seed production. Finally, sensitivity of individual species to soil fertility varies widely, limiting the response of community seed production to fertility gradients. In combination, these findings can inform models of forest response that need to incorporate reproductive potential.
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Affiliation(s)
- Tong Qiu
- Nicholas School of the Environment, Duke University, Durham, NC, 27708, USA
| | - Robert Andrus
- Department of Geography, University of Colorado Boulder, Boulder, CO, 80309, USA
| | - Marie-Claire Aravena
- Universidad de Chile, Facultad de Ciencias Forestales y de la Conservacion de la Naturaleza (FCFCN), La Pintana, 8820808, Santiago, Chile
| | - Davide Ascoli
- Department of Agriculture, Forest and Food Sciences, University of Torino, 10095, Grugliasco, TO, Italy
| | - Yves Bergeron
- Forest Research Institute, University of Quebec in Abitibi-Temiscamingue, Rouyn-Noranda, QC, J9X 5E4, Canada
| | - Roberta Berretti
- Department of Agriculture, Forest and Food Sciences, University of Torino, 10095, Grugliasco, TO, Italy
| | - Daniel Berveiller
- Universite Paris-Saclay, Centre national de la recherche scientifique, AgroParisTech, Ecologie Systematique et Evolution, 91405, Orsay, France
| | - Michal Bogdziewicz
- Department of Systematic Zoology, Faculty of Biology, Adam Mickiewicz University, Umultowska 89, 61-614, Poznan, Poland
| | - Thomas Boivin
- Institut National de Recherche pour Agriculture, Alimentation et Environnement (INRAE), Ecologie des Forets Mediterranennes, 84000, Avignon, France
| | - Raul Bonal
- Department of Biodiversity, Ecology and Evolution, Complutense University of Madrid, 28040, Madrid, Spain
| | - Don C Bragg
- USDA Forest Service, Southern Research Station, Monticello, AR, 71656, USA
| | - Thomas Caignard
- Universite Bordeaux, Institut National de Recherche pour Agriculture, Alimentation et Environnement (INRAE), Biodiversity, Genes, and Communities (BIOGECO), 33615, Pessac, France
| | - Rafael Calama
- Centro de Investigacion Forestal - Instituto Nacional de Investigacion y Tecnologia Agraria y Alimentaria (INIA-CIFOR), 28040, Madrid, Spain
| | - J Julio Camarero
- Instituto Pirenaico de Ecologla, Consejo Superior de Investigaciones Cientificas (IPE-CSIC), 50059, Zaragoza, Spain
| | - Chia-Hao Chang-Yang
- Department of Biological Sciences, National Sun Yat-sen University, Kaohsiung, 80424, Taiwan
| | | | - Benoit Courbaud
- Universite Grenoble Alpes, Institut National de Recherche pour Agriculture, Alimentation et Environnement (INRAE), Laboratoire EcoSystemes et Societes En Montagne (LESSEM), 38402, St. Martin-d'Heres, France
| | - Francois Courbet
- Institut National de Recherche pour Agriculture, Alimentation et Environnement (INRAE), Ecologie des Forets Mediterranennes, 84000, Avignon, France
| | - Thomas Curt
- Aix Marseille universite, Institut National de Recherche pour Agriculture, Alimentation et Environnement (INRAE), 13182, Aix-en-Provence, France
| | - Adrian J Das
- USGS Western Ecological Research Center, Three Rivers, CA, 93271, USA
| | | | - Hendrik Davi
- Institut National de Recherche pour Agriculture, Alimentation et Environnement (INRAE), Ecologie des Forets Mediterranennes, 84000, Avignon, France
| | - Nicolas Delpierre
- Universite Paris-Saclay, Centre national de la recherche scientifique, AgroParisTech, Ecologie Systematique et Evolution, 91405, Orsay, France
| | - Sylvain Delzon
- Universite Bordeaux, Institut National de Recherche pour Agriculture, Alimentation et Environnement (INRAE), Biodiversity, Genes, and Communities (BIOGECO), 33615, Pessac, France
| | - Michael Dietze
- Earth and Environment, Boston University, Boston, MA, 02215, USA
| | - Sergio Donoso Calderon
- Universidad de Chile, Facultad de Ciencias Forestales y de la Conservacion de la Naturaleza (FCFCN), La Pintana, 8820808, Santiago, Chile
| | - Laurent Dormont
- Centre d'Ecologie Fonctionnelle et Evolutive (CEFE), Centre National de la Recherche Scientifique (CNRS), 34293, Montpellier, France
| | - Josep Espelta
- Centre de Recerca Ecologica i Aplicacions Forestals (CREAF), Bellaterra, Catalunya, 08193, Spain
| | - Timothy J Fahey
- Natural Resources, Cornell University, Ithaca, NY, 14853, USA
| | - William Farfan-Rios
- Washington University in Saint Louis, Center for Conservation and Sustainable Development, Missouri Botanical Garden, St. Louis, MO, 63110, USA
| | - Catherine A Gehring
- Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ, 86011, USA
| | - Gregory S Gilbert
- Department of Environmental Studies, University of California, Santa Cruz, CA, 95064, USA
| | - Georg Gratzer
- Institute of Forest Ecology, Peter-Jordan-Strasse 82, 1190, Wien, Austria
| | - Cathryn H Greenberg
- Bent Creek Experimental Forest, USDA Forest Service, Asheville, NC, 28801, USA
| | - Qinfeng Guo
- Eastern Forest Environmental Threat Assessment Center, USDA Forest Service, Southern Research Station, Research Triangle Park, NC, 27709, USA
| | - Andrew Hacket-Pain
- Department of Geography and Planning, School of Environmental Sciences, University of Liverpool, Liverpool, UK
| | - Arndt Hampe
- Universite Bordeaux, Institut National de Recherche pour Agriculture, Alimentation et Environnement (INRAE), Biodiversity, Genes, and Communities (BIOGECO), 33615, Pessac, France
| | - Qingmin Han
- Department of Plant Ecology Forestry and Forest Products Research Institute (FFPRI), Tsukuba, Ibaraki, 305-8687, Japan
| | | | - Kazuhiko Hoshizaki
- Department of Biological Environment, Akita Prefectural University, Akita, 010-0195, Japan
| | - Ines Ibanez
- School for Environment and Sustainability, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Jill F Johnstone
- Institute of Arctic Biology, University of Alaska, Fairbanks, AK, 99700, USA
| | - Valentin Journé
- Universite Grenoble Alpes, Institut National de Recherche pour Agriculture, Alimentation et Environnement (INRAE), Laboratoire EcoSystemes et Societes En Montagne (LESSEM), 38402, St. Martin-d'Heres, France
| | - Daisuke Kabeya
- Department of Plant Ecology Forestry and Forest Products Research Institute (FFPRI), Tsukuba, Ibaraki, 305-8687, Japan
| | | | - Thomas Kitzberger
- Department of Ecology, Instituto de Investigaciones en Biodiversidad y Medioambiente (Consejo Nacional de Investigaciones Cientificas y Tecnicas - Universidad Nacional del Comahue), Quintral 1250, 8400, Bariloche, Argentina
| | - Johannes M H Knops
- Health and Environmental Sciences Department, Xian Jiaotong-Liverpool University, Suzhou, 215123, China
| | - Richard K Kobe
- Department of Plant Biology, Program in Ecology, Evolutionary Biology, and Behavior, Michigan State University, East Lansing, MI, 48824, USA
| | - Georges Kunstler
- Universite Grenoble Alpes, Institut National de Recherche pour Agriculture, Alimentation et Environnement (INRAE), Laboratoire EcoSystemes et Societes En Montagne (LESSEM), 38402, St. Martin-d'Heres, France
| | - Jonathan G A Lageard
- Department of Natural Sciences, Manchester Metropolitan University, Manchester, M1 5GD, UK
| | - Jalene M LaMontagne
- Department of Biological Sciences, DePaul University, Chicago, IL, 60614, USA
| | - Mateusz Ledwon
- Institute of Systematics and Evolution of Animals, Polish Academy of Sciences, Slawkowska 17, 31-016, Krakow, Poland
| | - Francois Lefevre
- Institut National de Recherche pour Agriculture, Alimentation et Environnement (INRAE), Ecologie des Forets Mediterranennes, 84000, Avignon, France
| | - Theodor Leininger
- USDA, Forest Service, Southern Research Station, PO Box 227, Stoneville, MS, 38776, USA
| | - Jean-Marc Limousin
- CEFE, Univ Montpellier, CNRS, EPHE, IRD, 1919 route de Mende, 34293, Montpellier Cedex 5, France
| | - James A Lutz
- Department of Wildland Resources, and the Ecology Center, Utah State University, Logan, UT, 84322, USA
| | - Diana Macias
- Department of Biology, University of New Mexico, Albuquerque, NM, 87131, USA
| | | | | | - Emily Moran
- School of Natural Sciences, UC Merced, Merced, CA, 95343, USA
| | - Renzo Motta
- Department of Agriculture, Forest and Food Sciences, University of Torino, 10095, Grugliasco, TO, Italy
| | - Jonathan A Myers
- Department of Biology, Washington University in St. Louis, St. Louis, MO, USA
| | - Thomas A Nagel
- Department of forestry and renewable forest resources, Biotechnical Faculty, University of Ljubljana, Ljubljana, Slovenia
| | - Kyotaro Noguchi
- Tohoku Research Center, Forestry and Forest Products Research Institute, Morioka, Iwate, 020-0123, Japan
| | - Jean-Marc Ourcival
- CEFE, Univ Montpellier, CNRS, EPHE, IRD, 1919 route de Mende, 34293, Montpellier Cedex 5, France
| | - Robert Parmenter
- Valles Caldera National Preserve, National Park Service, Jemez Springs, NM, 87025, USA
| | - Ian S Pearse
- Fort Collins Science Center, 2150 Centre Avenue Bldg C, Fort Collins, CO, 80526, USA
| | - Ignacio M Perez-Ramos
- Inst. de Recursos Naturales y Agrobiologia de Sevilla, Consejo Superior de Investigaciones Cientificas (IRNAS-CSIC), Seville, Andalucia, Spain
| | - Lukasz Piechnik
- W. Szafer Institute of Botany, Polish Academy of Sciences, Lubicz 46, 31-512, Krakow, Poland
| | - John Poulsen
- Nicholas School of the Environment, Duke University, Durham, NC, 27708, USA
| | | | - Miranda D Redmond
- Department of Forest and Rangeland Stewardship, COlorado State University, Fort COllins, CO, USA
| | - Chantal D Reid
- Nicholas School of the Environment, Duke University, Durham, NC, 27708, USA
| | - Kyle C Rodman
- Department of Forest and Wildlife Ecology, University of Wisconsin-Madison, Madison, WI, 53706, USA
| | | | - Javier D Sanguinetti
- Bilogo Dpto. Conservacin y Manejo Parque Nacional Lanin Elordi y Perito Moreno, 8370, San Marten de los Andes Neuqun, Argentina
| | - C Lane Scher
- Nicholas School of the Environment, Duke University, Durham, NC, 27708, USA
| | | | - Harald Schmidt Van Marle
- Universidad de Chile, Facultad de Ciencias Forestales y de la Conservacion de la Naturaleza (FCFCN), La Pintana, 8820808, Santiago, Chile
| | - Barbara Seget
- W. Szafer Institute of Botany, Polish Academy of Sciences, Lubicz 46, 31-512, Krakow, Poland
| | - Shubhi Sharma
- Nicholas School of the Environment, Duke University, Durham, NC, 27708, USA
| | - Miles Silman
- Department of Biology, Wake Forest University, 1834 Wake Forest Rd, Winston-Salem, NC, 27106, USA
| | - Michael A Steele
- Department of Biology, Wilkes University, 84 West South Street, Wilkes-Barre, PA, 18766, USA
| | | | - Jacob N Straub
- Department of Environmental Science and Ecology, State University of New York-Brockport, Brockport, NY, 14420, USA
| | - I-Fang Sun
- Center for Interdisciplinary Research on Ecology and Sustainability, College of Environmental Studies, National Dong Hwa University, Hualien, Taiwan
| | - Samantha Sutton
- Nicholas School of the Environment, Duke University, Durham, NC, 27708, USA
| | - Jennifer J Swenson
- Nicholas School of the Environment, Duke University, Durham, NC, 27708, USA
| | - Margaret Swift
- Nicholas School of the Environment, Duke University, Durham, NC, 27708, USA
| | - Peter A Thomas
- School of Life Sciences, Keele University, Staffordshire, ST5 5BG, UK
| | - Maria Uriarte
- Department of Ecology, Evolution and Environmental Biology, Columbia University, 1113 Schermerhorn Ext., 1200 Amsterdam Ave., New York, NY, 10027, USA
| | - Giorgio Vacchiano
- Department of Agricultural and Environmental Sciences - Production, Territory, Agroenergy (DISAA), University of Milan, 20133, Milano, Italy
| | - Thomas T Veblen
- Department of Geography, University of Colorado Boulder, Boulder, CO, 80309, USA
| | - Amy V Whipple
- Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ, 86011, USA
| | - Thomas G Whitham
- Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ, 86011, USA
| | - Andreas P Wion
- Department of Forest and Rangeland Stewardship, Colorado State University, Fort Collins, CO, 80523, USA
| | - Boyd Wright
- Botany, School of Environmental and Rural Science, University of New England, Armidale, NSW, 2350, Australia
| | - S Joseph Wright
- Smithsonian Tropical Research Institute, Apartado 0843n03092, Balboa, Republic of Panama
| | - Kai Zhu
- Department of Environmental Studies, University of California, Santa Cruz, CA, 95064, USA
| | - Jess K Zimmerman
- Department of Environmental Sciences, University of Puerto Rico, Rio Piedras, PR, 00936, USA
| | - Roman Zlotin
- Geography Department and Russian and East European Institute, Bloomington, IN, 47405, USA
| | - Magdalena Zywiec
- W. Szafer Institute of Botany, Polish Academy of Sciences, Lubicz 46, 31-512, Krakow, Poland
| | - James S Clark
- Nicholas School of the Environment, Duke University, Durham, NC, 27708, USA.
- Universite Grenoble Alpes, Institut National de Recherche pour Agriculture, Alimentation et Environnement (INRAE), Laboratoire EcoSystemes et Societes En Montagne (LESSEM), 38402, St. Martin-d'Heres, France.
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Xie Y, Yang X, Li W, Li J, Wu T, Wang H, Huang J, Xu F. Enhanced removal of glyphosate from aqueous solution by nano-CaO2/AS composite: Oxidation and precipitation. Sep Purif Technol 2022. [DOI: 10.1016/j.seppur.2021.120349] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
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41
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Song Z, Wang X, Liu Y, Luo Y, Li Z. Allocation Strategies of Carbon, Nitrogen, and Phosphorus at Species and Community Levels With Recovery After Wildfire. FRONTIERS IN PLANT SCIENCE 2022; 13:850353. [PMID: 35481138 PMCID: PMC9037545 DOI: 10.3389/fpls.2022.850353] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/07/2022] [Accepted: 03/04/2022] [Indexed: 06/14/2023]
Abstract
Plant stoichiometry and nutrient allocation can reflect a plant's adaptation to environmental nutrient changes. However, the allocation strategies of carbon (C), nitrogen (N), and phosphorus (P) between leaf and fine root in response to wildfire have been poorly studied. Our primary objective was to elucidate the trade-off of elemental allocation between above- and belowground parts in response to the soil nutrient changes after a wildfire. We explored the allocation sloping exponents of C, N, and P between leaf and fine root at the species and community levels at four recovery periods (year 2, 10, 20, and 30) after moderately severe wildfire and one unburned treatment in boreal forests in Great Xing'an Mountains, northeast China. Compared with the unburned treatment, leaf C concentration decreased and fine root C increased at year 2 after recovery. The leaf N concentration at year 10 after recovery was higher than that of unburned treatment. Plant growth tended to be limited by P concentration at year 10 after recovery. Nutrient allocation between leaf and fine root differed between species and community levels, especially in the early recovery periods (i.e., 2 and 10 years). At the community level, the nutrient concentrations of the leaf changed more as compared to that of the fine root at year 2 after recovery when the fine root nutrients changed more than those of the leaf. The different C, N, and P allocation strategies advanced the understanding of plant adaptation to soil nutrient changes during the postfire ecosystem restoration.
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Affiliation(s)
- Zhaopeng Song
- School of Ecology and Nature Conservation, Beijing Forestry University, Beijing, China
- College of Urban and Environmental Sciences, and MOE Laboratory for Earth Surface Processes, Peking University, Beijing, China
- Center for Ecosystem Science and Society, Northern Arizona University, Flagstaff, AZ, United States
| | - Xuemei Wang
- School of Ecology and Nature Conservation, Beijing Forestry University, Beijing, China
| | - Yanhong Liu
- College of Urban and Environmental Sciences, and MOE Laboratory for Earth Surface Processes, Peking University, Beijing, China
| | - Yiqi Luo
- Center for Ecosystem Science and Society, Northern Arizona University, Flagstaff, AZ, United States
| | - Zhaolei Li
- Center for Ecosystem Science and Society, Northern Arizona University, Flagstaff, AZ, United States
- Interdisciplinary Research Center for Agriculture Green Development in Yangtze River Basin, College of Resources and Environment, and Academy of Agricultural Sciences, Southwest University, Chongqing, China
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42
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Moeneclaey I, Schelfhout S, Vanhellemont M, DeCock E, Van Coillie F, Verheyen K, Baeten L. Species ecological strategy and soil phosphorus supply interactively affect plant biomass and phosphorus concentration. Basic Appl Ecol 2022. [DOI: 10.1016/j.baae.2022.03.013] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
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43
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Hu CC, Liu XY, Yan YX, Lei YB, Tan YH, Liu CQ. A new isotope framework to decipher leaf-root nitrogen allocation and assimilation among plants in a tropical invaded ecosystem. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 806:151203. [PMID: 34710420 DOI: 10.1016/j.scitotenv.2021.151203] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/17/2021] [Revised: 10/06/2021] [Accepted: 10/20/2021] [Indexed: 06/13/2023]
Abstract
Exotic plant invasion is an urgent issue occurring in the biosphere, which can be stimulated by environmental nitrogen (N) loading. However, the allocation and assimilation of soil N sources between leaves and roots remain unclear for plants in invaded ecosystems, which hampers the understanding of mechanisms behind the expansion of invasive plants and the co-existence of native plants. This work established a new framework to use N concentrations and isotopes of soils, roots, and leaves to quantitatively decipher intra-plant N allocation and assimilation among plant species under no invasion and under the invasion of Chromolaena odorata and Ageratina adenophora in a tropical ecosystem of SW China. We found that the assimilation of N derived from both soil ammonium (NH4+) and nitrate (NO3-) were higher in leaves than in roots for invasive plants, leading to higher leaf N levels than native plants. Compared with the same species under no invasion, most native plants under invasion showed higher N concentrations and NH4+ assimilations in both leaves and roots, and increases in leaf N were higher than in root N for native plants under invasion. These results inform that preferential N allocation, dominated by NH4+-derived N, to leaves over roots as an important N-use strategy for plant invasion and co-existence in the studied tropical ecosystem.
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Affiliation(s)
- Chao-Chen Hu
- School of Earth System Science, Tianjin University, Tianjin 300072, China
| | - Xue-Yan Liu
- School of Earth System Science, Tianjin University, Tianjin 300072, China.
| | - Ya-Xin Yan
- School of Earth System Science, Tianjin University, Tianjin 300072, China
| | - Yan-Bao Lei
- Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu, 610041, China
| | - Yun-Hong Tan
- Center for Integrative Conservation, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Menglun, Mengla, Yunnan 666303, China
| | - Cong-Qiang Liu
- School of Earth System Science, Tianjin University, Tianjin 300072, China
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44
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Zhao M, Feng Y, Shi Y, Shen H, Hu H, Luo Y, Xu L, Kang J, Xing A, Wang S, Fang J. Yield and quality properties of silage maize and their influencing factors in China. SCIENCE CHINA. LIFE SCIENCES 2022; 65:1655-1666. [PMID: 35122623 DOI: 10.1007/s11427-020-2023-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Accepted: 11/11/2021] [Indexed: 11/24/2022]
Abstract
Silage maize (Zea mays L.) is one of the most important forages in the world, and its yield and quality properties are critical parameters for livestock production and assessment of forage values. However, relationships between its yield and quality properties and the controlling factors are not well documented. In this study, we collected 5,663 observations from 196 publications across the country to identify the relationships between yield and quality properties of silage maize and to assess the impact of management practices and climatic factors on its yield and quality in China. The average dry matter yield of silage maize was (19.98±6.93) Mg ha-1, and the average value of crude protein, ether extract, crude ash, crude fiber, acid detergent fiber, neutral detergent fiber, nitrogen-free extract, and relative feed value was 7.86%±1.71%, 2.53%±1.01%, 5.05%±1.66%, 23.97%±6.34%, 27.62%±7.12%, 51.60%±9.85%, 59.68%±7.72%, and 131.17±31.49, respectively. In general, its nutritive value decreased as its yield increased. Increasing planting density could increase the yield but inhibit the nutritive values, while increasing fertilization could benefit the nutritive values. Geographically, the yield increased and the nutritive value decreased from warm (south) to cold (north) regions. The length of growth duration was a major controlling factor for the patterns of these properties. Our findings provide insights for police-makers to make strategy for achieving high yield and good quality of silage maize and help local people to implement better management practices.
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Affiliation(s)
- Mengying Zhao
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China.,University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Yinping Feng
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China.,University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Yue Shi
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China.,University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Haihua Shen
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China.,University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Huifeng Hu
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
| | - Yongkai Luo
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
| | - Longchao Xu
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
| | - Jie Kang
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China.,University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Aijun Xing
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China.,University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Shaopeng Wang
- College of Urban and Environmental Sciences, and Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing, 100871, China
| | - Jingyun Fang
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China. .,College of Urban and Environmental Sciences, and Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing, 100871, China.
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Tao Y, Qiu D, Gong YM, Liu HL, Zhang J, Yin BF, Lu HY, Zhou XBB, Zhang YM. Leaf-root-soil N:P stoichiometry of ephemeral plants in a temperate desert in Central Asia. JOURNAL OF PLANT RESEARCH 2022; 135:55-67. [PMID: 34762207 DOI: 10.1007/s10265-021-01355-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/06/2021] [Accepted: 11/01/2021] [Indexed: 06/13/2023]
Abstract
Ephemeral plants are a crucial vegetation component in temperate deserts of Central Asia, and play an important role in biogeochemical cycle and biodiversity maintenance in desert ecosystems. However, the nitrogen (N) and phosphorus (P) status and interrelations of leaf-root-soil of ephemeral plants remain unclear. A total of 194 leaf-root-soil samples of eight ephemeral species at 37 sites in the Gurbantunggut Desert, China were collected, and then the corresponding N and P concentrations, and the N:P ratio were measured. Results showed that soil parameters presented no significant difference among the eight species. The total soil N:P was only 0.116 (geomean), indicating limited soil N, while the available soil N:P (4.896, geomean) was significantly larger than the total N:P. The leaf N (averagely 30.995 mg g-1) and P (averagely 1.523 mg g-1) concentrations were 2.64-8.46 and 0.93-3.99 times higher than the root N (averagely 8.014 mg g-1) and P (averagely 0.802 mg g-1) concentrations, respectively. Thus, leaf N:P (averagely 21.499) was 1.410-2.957 times higher than root N:P (averagely 11.803). Meanwhile, significant interspecific differences existed in plant stoichiometric traits. At the across-species level, N content scaled as the 3/4-power of P content in both leaves and roots. Leaf and root N:P ratios were mainly influenced by P; however, the leaf-to-root N or P ratio was dominated by roots. Leaf and root N, P contents and N:P were generally unrelated to soil nutrients, and the former presented lower variation than the latter, indicating a strong stoichiometric homeostasis for ephemerals. These results demonstrate that regardless of soil nutrient supply capacity in this region, the fast-growing ephemeral plants have formed a specific leaf-root-soil stoichiometric relation and nutrient use strategy adapting to the extreme desert environment.
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Affiliation(s)
- Ye Tao
- State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, No. 818 South Beijing Road, Urumqi, 830011, Xinjiang, China
| | - Dong Qiu
- State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, No. 818 South Beijing Road, Urumqi, 830011, Xinjiang, China
| | - Yan-Ming Gong
- State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, No. 818 South Beijing Road, Urumqi, 830011, Xinjiang, China
| | - Hui-Liang Liu
- State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, No. 818 South Beijing Road, Urumqi, 830011, Xinjiang, China
| | - Jing Zhang
- State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, No. 818 South Beijing Road, Urumqi, 830011, Xinjiang, China
| | - Ben-Feng Yin
- State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, No. 818 South Beijing Road, Urumqi, 830011, Xinjiang, China
| | - Hai-Ying Lu
- College of Biology and the Environment, Nanjing Forestry University, No. 159 Longpan Road, Nanjing, 210042, Jiangsu, China.
| | - Xiao-Bing B Zhou
- State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, No. 818 South Beijing Road, Urumqi, 830011, Xinjiang, China.
| | - Yuan-Ming Zhang
- State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, No. 818 South Beijing Road, Urumqi, 830011, Xinjiang, China.
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46
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Joswig JS, Wirth C, Schuman MC, Kattge J, Reu B, Wright IJ, Sippel SD, Rüger N, Richter R, Schaepman ME, van Bodegom PM, Cornelissen JHC, Díaz S, Hattingh WN, Kramer K, Lens F, Niinemets Ü, Reich PB, Reichstein M, Römermann C, Schrodt F, Anand M, Bahn M, Byun C, Campetella G, Cerabolini BEL, Craine JM, Gonzalez-Melo A, Gutiérrez AG, He T, Higuchi P, Jactel H, Kraft NJB, Minden V, Onipchenko V, Peñuelas J, Pillar VD, Sosinski Ê, Soudzilovskaia NA, Weiher E, Mahecha MD. Climatic and soil factors explain the two-dimensional spectrum of global plant trait variation. Nat Ecol Evol 2022; 6:36-50. [PMID: 34949824 PMCID: PMC8752441 DOI: 10.1038/s41559-021-01616-8] [Citation(s) in RCA: 48] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2021] [Accepted: 11/10/2021] [Indexed: 11/09/2022]
Abstract
Plant functional traits can predict community assembly and ecosystem functioning and are thus widely used in global models of vegetation dynamics and land-climate feedbacks. Still, we lack a global understanding of how land and climate affect plant traits. A previous global analysis of six traits observed two main axes of variation: (1) size variation at the organ and plant level and (2) leaf economics balancing leaf persistence against plant growth potential. The orthogonality of these two axes suggests they are differently influenced by environmental drivers. We find that these axes persist in a global dataset of 17 traits across more than 20,000 species. We find a dominant joint effect of climate and soil on trait variation. Additional independent climate effects are also observed across most traits, whereas independent soil effects are almost exclusively observed for economics traits. Variation in size traits correlates well with a latitudinal gradient related to water or energy limitation. In contrast, variation in economics traits is better explained by interactions of climate with soil fertility. These findings have the potential to improve our understanding of biodiversity patterns and our predictions of climate change impacts on biogeochemical cycles.
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Affiliation(s)
- Julia S. Joswig
- grid.419500.90000 0004 0491 7318Max-Planck-Institute for Biogeochemistry, Jena, Germany ,grid.7400.30000 0004 1937 0650Remote Sensing Laboratories, Department of Geography, University of Zurich, Zurich, Switzerland
| | - Christian Wirth
- grid.419500.90000 0004 0491 7318Max-Planck-Institute for Biogeochemistry, Jena, Germany ,grid.9647.c0000 0004 7669 9786German Centre for Integrative Biodiversity Research (iDiv), Leipzig, Germany ,grid.9647.c0000 0004 7669 9786Institute of Systematic Botany and Functional Biodiversity, University of Leipzig, Leipzig, Germany
| | - Meredith C. Schuman
- grid.7400.30000 0004 1937 0650Remote Sensing Laboratories, Department of Geography, University of Zurich, Zurich, Switzerland ,grid.7400.30000 0004 1937 0650Department of Chemistry, University of Zurich, Zurich, Switzerland
| | - Jens Kattge
- grid.419500.90000 0004 0491 7318Max-Planck-Institute for Biogeochemistry, Jena, Germany ,grid.9647.c0000 0004 7669 9786German Centre for Integrative Biodiversity Research (iDiv), Leipzig, Germany
| | - Björn Reu
- grid.411595.d0000 0001 2105 7207Escuela de Biología, Universidad Industrial de Santander, Bucaramanga, Colombia
| | - Ian J. Wright
- grid.1004.50000 0001 2158 5405Department of Biological Sciences, Macquarie University, Sydney, New South Wales Australia
| | - Sebastian D. Sippel
- grid.5801.c0000 0001 2156 2780Institute for Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland ,grid.454322.60000 0004 4910 9859Norwegian Institute of Bioeconomy Research, Oslo, Norway
| | - Nadja Rüger
- grid.9647.c0000 0004 7669 9786German Centre for Integrative Biodiversity Research (iDiv), Leipzig, Germany ,grid.9647.c0000 0004 7669 9786Department of Economics, University of Leipzig, Leipzig, Germany ,grid.438006.90000 0001 2296 9689Smithsonian Tropical Research Institute, Ancón, Panama
| | - Ronny Richter
- grid.9647.c0000 0004 7669 9786German Centre for Integrative Biodiversity Research (iDiv), Leipzig, Germany ,grid.9647.c0000 0004 7669 9786Institute of Systematic Botany and Functional Biodiversity, University of Leipzig, Leipzig, Germany ,grid.9647.c0000 0004 7669 9786Geoinformatics and Remote Sensing, Institute for Geography, University of Leipzig, Leipzig, Germany
| | - Michael E. Schaepman
- grid.7400.30000 0004 1937 0650Remote Sensing Laboratories, Department of Geography, University of Zurich, Zurich, Switzerland
| | - Peter M. van Bodegom
- grid.5132.50000 0001 2312 1970Environmental Biology Department, Institute of Environmental Sciences, CML, Leiden University, Leiden, the Netherlands
| | - J. H. C. Cornelissen
- grid.12380.380000 0004 1754 9227Systems Ecology, Department of Ecological Science, Faculty of Science, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Sandra Díaz
- grid.10692.3c0000 0001 0115 2557Instituto Multidisciplinario de Biología Vegetal (IMBIV), CONICET and FCEFyN, Universidad Nacional de Córdoba, Córdoba, Argentina
| | | | - Koen Kramer
- grid.4818.50000 0001 0791 5666Chairgroup Forest Ecology and Forest Management, Wageningen University, Wageningen, the Netherlands ,Land Life Company, Amsterdam, the Netherlands
| | - Frederic Lens
- grid.425948.60000 0001 2159 802XResearch Group Functional Traits, Naturalis Biodiversity Center, Leiden, the Netherlands ,grid.5132.50000 0001 2312 1970Plant Sciences, Institute of Biology Leiden, Leiden University, Leiden, the Netherlands
| | - Ülo Niinemets
- grid.16697.3f0000 0001 0671 1127Estonian University of Life Sciences, Tartu, Estonia
| | - Peter B. Reich
- grid.17635.360000000419368657Department of Forest Resources, University of Minnesota, St Paul, MN USA ,grid.1029.a0000 0000 9939 5719Hawkesbury Institute for the Environment, Western Sydney University, Penrith, New South Wales Australia ,grid.214458.e0000000086837370Institute for Global Change Biology and School for Environment and Sustainability, University of Michigan, Ann Arbor, MI USA
| | - Markus Reichstein
- grid.419500.90000 0004 0491 7318Max-Planck-Institute for Biogeochemistry, Jena, Germany ,grid.9647.c0000 0004 7669 9786German Centre for Integrative Biodiversity Research (iDiv), Leipzig, Germany
| | - Christine Römermann
- grid.9647.c0000 0004 7669 9786German Centre for Integrative Biodiversity Research (iDiv), Leipzig, Germany ,grid.9613.d0000 0001 1939 2794Department of Plant Biodiversity, Institute of Ecology and Evolution, Friedrich-Schiller University, Jena, Germany
| | - Franziska Schrodt
- grid.4563.40000 0004 1936 8868School of Geography, University of Nottingham, Nottingham, UK
| | - Madhur Anand
- grid.34429.380000 0004 1936 8198School of Environmental Sciences, University of Guelph, Guelph, Canada
| | - Michael Bahn
- grid.5771.40000 0001 2151 8122Department of Ecology, University of Innsbruck, Innsbruck, Austria
| | - Chaeho Byun
- grid.252211.70000 0001 2299 2686Department of Biological Sciences and Biotechnology, Andong National University, Andong, Korea
| | - Giandiego Campetella
- grid.5602.10000 0000 9745 6549Plant Diversity and Ecosystems Management Unit, School of Biosciences and Veterinary Medicine, University of Camerino, Camerino, Italy
| | - Bruno E. L. Cerabolini
- grid.18147.3b0000000121724807Department of Biotechnologies and Life Sciences (DBSV), University of Insubria, Varese, Italy
| | | | - Andres Gonzalez-Melo
- grid.412191.e0000 0001 2205 5940Facultad de Ciencias Naturales y Matemáticas, Universidad del Rosario, Bogotá, Colombia
| | - Alvaro G. Gutiérrez
- grid.443909.30000 0004 0385 4466Departamento de Ciencias Ambientales y Recursos Naturales Renovables, Facultad de Ciencias Agronómicas, Universidad de Chile, Santiago, Chile
| | - Tianhua He
- grid.1032.00000 0004 0375 4078School of Molecular and Life Sciences, Curtin University, Perth, Western Australia Australia ,grid.1025.60000 0004 0436 6763College of Science, Health, Engineering and Education, Murdoch University, Murdoch, Western Australia Australia
| | - Pedro Higuchi
- grid.412287.a0000 0001 2150 7271Department of Forestry, Universidade do Estado de Santa, Catarina, Lages, Brazil
| | - Hervé Jactel
- grid.508391.60000 0004 0622 9359INRAE University Bordeaux, BIOGECO, Cestas, France
| | - Nathan J. B. Kraft
- grid.19006.3e0000 0000 9632 6718Department of Ecology and Evolutionary Biology, University of California, Los Angeles, CA USA
| | - Vanessa Minden
- grid.8767.e0000 0001 2290 8069Department of Biology, Vrije Universiteit Brussel, Brussels, Belgium ,grid.5560.60000 0001 1009 3608Landscape Ecology Group, Institute of Biology and Environmental Sciences, University of Oldenburg, Oldenburg, Germany
| | - Vladimir Onipchenko
- grid.14476.300000 0001 2342 9668Department of Ecology and Plant Geography, Moscow State Lomonosov University, Moscow, Russia
| | - Josep Peñuelas
- grid.4711.30000 0001 2183 4846CSIC, Global Ecology Unit CREAF-CSIC-UAB, Bellaterra, Spain ,grid.452388.00000 0001 0722 403XCREAF, Cerdanyola del Vallés, Spain
| | - Valério D. Pillar
- grid.8532.c0000 0001 2200 7498Department of Ecology, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Ênio Sosinski
- grid.460200.00000 0004 0541 873XEmbrapa Recursos Genéticos e Biotecnologia, Brasília, Brazil
| | - Nadejda A. Soudzilovskaia
- grid.12155.320000 0001 0604 5662Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium ,grid.5132.50000 0001 2312 1970Institute of Environmental Sciences, Leiden University, Leiden, the Netherlands
| | - Evan Weiher
- grid.267460.10000 0001 2227 2494Department of Biology, University of Wisconsin, Eau Claire, WI USA
| | - Miguel D. Mahecha
- grid.9647.c0000 0004 7669 9786German Centre for Integrative Biodiversity Research (iDiv), Leipzig, Germany ,grid.9647.c0000 0004 7669 9786Remote Sensing Centre for Earth System Research, University of Leipzig, Leipzig, Germany ,grid.7492.80000 0004 0492 3830Helmholtz Centre for Environmental Research, Leipzig, Germany
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Li X, Li M, Xu L, Liu C, Zhao W, Cheng C, He N. Allometry and Distribution of Nitrogen in Natural Plant Communities of the Tibetan Plateau. FRONTIERS IN PLANT SCIENCE 2022; 13:845813. [PMID: 35360321 PMCID: PMC8963499 DOI: 10.3389/fpls.2022.845813] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Accepted: 02/10/2022] [Indexed: 05/02/2023]
Abstract
Nitrogen (N) is an important element for most terrestrial ecosystems; its variation among different plant organs, and allocation mechanisms are the basis for the structural stability and functional optimization of natural plant communities. The nature of spatial variations of N and its allocation mechanisms in plants in the Tibetan Plateau-known as the world's third pole-have not been reported on a large scale. In this study, we consistently investigated the N content in different organs of plants in 1564 natural community plots in Tibet Plateau, using a standard spatial-grid sampling setup. On average, the N content was estimated to be 19.21, 4.12, 1.14, and 10.86 mg g-1 in the leaf, branch, trunk, and root, respectively, with small spatial variations. Among organs in communities, leaves were the most active, and had the highest N content, independent of the spatial location; as for vegetation type, communities dominated by herbaceous plants had higher N content than those dominated by woody plants. Furthermore, the allocation of N among different plant organs was allometric, and not significantly influenced by vegetation types and environmental factors; the homeostasis of N was also not affected much by the environment, and varied among the plant organs. In addition, the N allocation strategy within Tibet Plateau for different plant organs was observed to be consistent with that in China. Our findings systematically explore for the first time, the spatial variations in N and allometric mechanisms in natural plant communities in Tibet Plateau and establish a spatial-parameters database to optimize N cycle models.
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Affiliation(s)
- Xin Li
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China
| | - Mingxu Li
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
- *Correspondence: Mingxu Li,
| | - Li Xu
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
| | - Congcong Liu
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
| | - Wenzong Zhao
- College of Life and Environmental Sciences, Minzu University of China, Beijing, China
| | - Changjin Cheng
- School of Ecology and Nature Conservation, Beijing Forestry University, Beijing, China
| | - Nianpeng He
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China
- Center for Ecological Research, Northeast Forestry University, Harbin, China
- Nianpeng He,
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48
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An N, Lu N, Fu B, Wang M, He N. Distinct Responses of Leaf Traits to Environment and Phylogeny Between Herbaceous and Woody Angiosperm Species in China. FRONTIERS IN PLANT SCIENCE 2021; 12:799401. [PMID: 34950176 PMCID: PMC8688848 DOI: 10.3389/fpls.2021.799401] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Accepted: 11/16/2021] [Indexed: 06/14/2023]
Abstract
Leaf traits play key roles in plant resource acquisition and ecosystem processes; however, whether the effects of environment and phylogeny on leaf traits differ between herbaceous and woody species remains unclear. To address this, in this study, we collected data for five key leaf traits from 1,819 angiosperm species across 530 sites in China. The leaf traits included specific leaf area, leaf dry matter content, leaf area, leaf N concentration, and leaf P concentration, all of which are closely related to trade-offs between resource uptake and leaf construction. We quantified the relative contributions of environment variables and phylogeny to leaf trait variation for all species, as well as for herbaceous and woody species separately. We found that environmental factors explained most of the variation (44.4-65.5%) in leaf traits (compared with 3.9-23.3% for phylogeny). Climate variability and seasonality variables, in particular, mean temperature of the warmest and coldest seasons of a year (MTWM/MTWQ and MTCM/MTCQ) and mean precipitation in the wettest and driest seasons of a year (MPWM/MPWQ and MPDM/MPDQ), were more important drivers of leaf trait variation than mean annual temperature (MAT) and mean annual precipitation (MAP). Furthermore, the responses of leaf traits to environment variables and phylogeny differed between herbaceous and woody species. Our study demonstrated the different effects of environment variables and phylogeny on leaf traits among different plant growth forms, which is expected to advance the understanding of plant adaptive strategies and trait evolution under different environmental conditions.
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Affiliation(s)
- Nannan An
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Nan Lu
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Bojie Fu
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
- Faculty of Geographical Science, Beijing Normal University, Beijing, China
| | - Mengyu Wang
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Nianpeng He
- University of Chinese Academy of Sciences, Beijing, China
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
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49
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Pang Y, Tian J, Liu L, Han L, Wang D. Coupling of different plant functional group, soil, and litter nutrients in a natural secondary mixed forest in the Qinling Mountains, China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2021; 28:66272-66286. [PMID: 34333746 DOI: 10.1007/s11356-021-15632-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/27/2021] [Accepted: 07/21/2021] [Indexed: 06/13/2023]
Abstract
Soil and litter play important roles in ecosystem nutrient storage and cycling, which both affect plant growth and ecosystem productivity. However, the potential linkages between soil and litter nutrient characteristics and nutrient characteristics of different plant functional groups (PFGs) remain unclear. In this study, we investigated the carbon (C), nitrogen (N), and phosphorus (P) concentrations and stoichiometric ratios in different organs of three PFGs (trees, shrubs, and herbs), litter, and soil in nine natural secondary mixed forests in the Qinling Mountains. Leaves N and P concentrations and N:P ratios, varied from 15.6 to 18.97 mg·g-1, 1.86 to 2.01 mg·g-1, and 7.34 to 8.72, were highest at the organ level, whereas the C:N and C:P values were lowest in leaves. At the PFG level, N and P concentrations of herbaceous were 1.23 to 3.69 and 1.42 to 1.93 times higher than those in same organs of woody species, while the N:P ratio was significantly lower in herb leaves than in tree and shrub leaves. Tree organs had significantly higher C concentrations and C:N and C:P ratios than shrub and herb organs. The leaf N:P ratios of all PFGs were less than 14, suggesting that plant growth was limited by N in the study region. The nutrient contents and stoichiometric ratios in plant organs had different degrees of linkages with those in litter and soil. Soil nutrient characteristics mainly affected (23.9 to 56.4%) the nutrient characteristics of the different PFGs, and litter nutrient characteristics also had important contributions (4.5 to 49.7%) to the nutrient characteristics of PFGs, showing the following order: herbs > trees > shrubs. Our results indicate that the functional difference in plant organs resulted in diverse nutrient concentrations; and varied nutrient connections exist among different ecosystem components. Furthermore, nutrient characteristics of litter and soil can together affect the nutrient characteristics of PFGs.
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Affiliation(s)
- Yue Pang
- College of Forestry, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Jing Tian
- College of Forestry, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Lanxin Liu
- College of Forestry, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Lina Han
- College of Forestry, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Dexiang Wang
- College of Forestry, Northwest A&F University, Yangling, 712100, Shaanxi, China.
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50
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Xiong J, Dong L, Lu J, Hu W, Gong H, Xie S, Zhao D, Zhang Y, Wang X, Deng Y, Ran J, Niklas KJ, Degen A, Deng J. Variation in plant carbon, nitrogen and phosphorus contents across the drylands of China. Funct Ecol 2021. [DOI: 10.1111/1365-2435.13937] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Junlan Xiong
- State Key Laboratory of Grassland Agro‐Ecosystem School of Life Sciences Lanzhou University Lanzhou China
| | - Longwei Dong
- State Key Laboratory of Grassland Agro‐Ecosystem School of Life Sciences Lanzhou University Lanzhou China
| | - Jingli Lu
- State Key Laboratory of Grassland Agro‐Ecosystem School of Life Sciences Lanzhou University Lanzhou China
| | - Weigang Hu
- State Key Laboratory of Grassland Agro‐Ecosystem School of Life Sciences Lanzhou University Lanzhou China
| | - Haiyang Gong
- State Key Laboratory of Grassland Agro‐Ecosystem School of Life Sciences Lanzhou University Lanzhou China
| | - Shubin Xie
- State Key Laboratory of Grassland Agro‐Ecosystem School of Life Sciences Lanzhou University Lanzhou China
| | - Dongmin Zhao
- State Key Laboratory of Grassland Agro‐Ecosystem School of Life Sciences Lanzhou University Lanzhou China
| | - Yahui Zhang
- State Key Laboratory of Grassland Agro‐Ecosystem School of Life Sciences Lanzhou University Lanzhou China
| | - Xiaoting Wang
- State Key Laboratory of Grassland Agro‐Ecosystem School of Life Sciences Lanzhou University Lanzhou China
| | - Yan Deng
- State Key Laboratory of Grassland Agro‐Ecosystem School of Life Sciences Lanzhou University Lanzhou China
| | - Jinzhi Ran
- State Key Laboratory of Grassland Agro‐Ecosystem School of Life Sciences Lanzhou University Lanzhou China
| | - Karl J. Niklas
- Plant Biology Section School of Integrative Plant Science Cornell University Ithaca NY USA
| | - Allan Degen
- Wyler Department of Dryland Agriculture Blaustein Institutes for Desert Research Ben‐Gurion University of the Negev Beer Sheva Israel
| | - Jianming Deng
- State Key Laboratory of Grassland Agro‐Ecosystem School of Life Sciences Lanzhou University Lanzhou China
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