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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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Wang Y, Xu Z. Leaf carbon, nitrogen, and phosphorus ecological stoichiometry of grassland ecosystems along 2,600-m altitude gradients at the Northern slope of the Tianshan Mountains. FRONTIERS IN PLANT SCIENCE 2024; 15:1430877. [PMID: 39135646 PMCID: PMC11317422 DOI: 10.3389/fpls.2024.1430877] [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: 05/10/2024] [Accepted: 07/03/2024] [Indexed: 08/15/2024]
Abstract
Ecological stoichiometry of terrestrial ecosystems has been a hot issue in current research, with intense focus on the proportional relationships of nutritional elements within plants and between plants and their environment. To clarify these relationships along continuous environmental gradients is essential for a more comprehensive understanding how plants adapt to a changing environment. In arid regions, the varying plant and soil types along altitude gradients offer a unique opportunity to examine the vertical spectrum of plant and soil ecological stoichiometry. In this study, the northern slope of the Tianshan Mountains was selected as the study area to explore the carbon (C), nitrogen (N), and phosphorus (P) ecological stoichiometric characteristics of herbaceous plants along 900-m-3,500-m altitude gradients. We also investigated the variation of ecological stoichiometric characteristics among different grassland types. The results indicated that the mean C, N, and P in leaf of grassland were 342.95 g·kg-1-557.73 g·kg-1, 6.02 g·kg-1-20.97 g·kg-1, and 0.71 g·kg-1-3.14 g·kg-1, respectively. There was no significant change in leaf carbon content along the elevation gradient, and the highest and lowest leaf C concentrations were in the upland meadow and the semidesert grasslands. Both N and P concentrations obtained their highest value in the meadow steppe. The P concentration gradually increased in desert and semidesert grasslands and reached the highest value in the meadow steppe, and then decreased to the lowest value in the upland meadow and subsequently increased in the alpine meadow. The ranges of the C:N ratio, C:P ratio, and N:P ratio were 16.36-155.53, 109.36-786.52, and 2.58-17.34, respectively. Due to fluctuations in the P concentration, the C:P ratio and N:P ratio reached the lowest value in the meadow steppe and obtained their highest value in the upland meadow. Redundancy analysis showed that temperature was the dominant factor affecting the C, N, and P ecological stoichiometry of herbaceous plants, followed by soil organic carbon, mean annual precipitation, soil pH, and soil electrical conductivity. Corresponding results could enhance predictive models of nutrient cycling and ecosystem responses to climate change, particularly in arid and semiarid regions.
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Affiliation(s)
- Yao Wang
- College of Ecology and Environment, Xinjiang University, Urumqi, China
- Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi, China
- Xinjiang Jinghe Observation and Research Station of Temperate Desert Ecosystem, Ministry of Education, Jinghe, China
- Institute of Desert Meteorology, China Meteorological Administration, Urumqi, China
| | - Zhonglin Xu
- College of Ecology and Environment, Xinjiang University, Urumqi, China
- Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi, China
- Xinjiang Jinghe Observation and Research Station of Temperate Desert Ecosystem, Ministry of Education, Jinghe, China
- Technology Innovation Center for Ecological Monitoring and Restoration of Desert-Oasis, Ministry of Natural Resources (MNR), Urumqi, China
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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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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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Tong R, Ma C, Lou C, Yuan W, Zhu N, Wang GG, Wu T. Leaf nitrogen and phosphorus stoichiometry of the halophytes across China. FRONTIERS IN PLANT SCIENCE 2023; 14:1276699. [PMID: 37860242 PMCID: PMC10582939 DOI: 10.3389/fpls.2023.1276699] [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: 08/12/2023] [Accepted: 09/19/2023] [Indexed: 10/21/2023]
Abstract
Halophytes play a crucial role in the ecological restoration of saline and alkaline land and hold promising benefits to food security in China. Although a variety of aspects of halophytes have been extensively addressed, there is still a lack of overall understanding of the leaf nitrogen (N) and phosphorus (P) stoichiometric characteristics, especially at a national scale. We compiled a national dataset of 311 observations from 113 sampling sites across China to explore the changing trends and influencing factors on leaf N and P concentrations, and N:P ratio of halophytes. The results showed that leaf N concentration decreased significantly with increasing latitude (LAT), which was mainly driven by the mean annual temperature (MAT) and mean annual precipitation (MAP). The leaf P concentration increased remarkably with increasing longitude (LON), which was induced by the variation in soil total P (TP) content. The leaf N:P ratio increased as LAT increased and LON decreased, which was potentially regulated by the MAT, MAP, and soil TP content. The scaling exponents of the N-P relationship differed significantly among halophyte types and were 0.40, 0.87, and 1.39 for euhalophyte, pseudohalophyte, and recretohalophyte, respectively. The leaf N concentration exhibited significant differences among ecosystem types and halophyte types, whereas the leaf P concentration and N:P ratio remained relatively stable. In summary, the leaf N concentration and N-P scaling exponent might be the classification criteria for halophyte types from the perspective of plant nutrient resource allocation. Moreover, this study characterized the spatial distribution and allocation strategy of leaf N and P stoichiometry in halophytes by data integration analysis, providing the basic information for nutrient management in the processes of the future domestication and introduction of halophytes.
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Affiliation(s)
- Ran Tong
- East China Coastal Forest Ecosystem Long-term Research Station, Research Institute of Subtropical Forestry, Chinese Academy of Forestry, Hangzhou, China
| | - Cong Ma
- East China Coastal Forest Ecosystem Long-term Research Station, Research Institute of Subtropical Forestry, Chinese Academy of Forestry, Hangzhou, China
| | - Chenyang Lou
- East China Coastal Forest Ecosystem Long-term Research Station, Research Institute of Subtropical Forestry, Chinese Academy of Forestry, Hangzhou, China
| | - Wenwen Yuan
- East China Coastal Forest Ecosystem Long-term Research Station, Research Institute of Subtropical Forestry, Chinese Academy of Forestry, Hangzhou, China
| | - Nianfu Zhu
- East China Coastal Forest Ecosystem Long-term Research Station, Research Institute of Subtropical Forestry, Chinese Academy of Forestry, Hangzhou, China
| | - G. Geoff Wang
- Department of Forestry and Environmental Conservation, Clemson University, Clemson, SC, United States
| | - Tonggui Wu
- East China Coastal Forest Ecosystem Long-term Research Station, Research Institute of Subtropical Forestry, Chinese Academy of Forestry, Hangzhou, China
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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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Arogoundade AM, Mutanga O, Odindi J, Naicker R. The role of remote sensing in tropical grassland nutrient estimation: a review. ENVIRONMENTAL MONITORING AND ASSESSMENT 2023; 195:954. [PMID: 37452968 PMCID: PMC10349770 DOI: 10.1007/s10661-023-11562-6] [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: 08/03/2022] [Accepted: 06/26/2023] [Indexed: 07/18/2023]
Abstract
The carbon (C) and nitrogen (N) ratio is a key indicator of nutrient utilization and limitations in rangelands. To understand the distribution of herbivores and grazing patterns, information on grass quality and quantity is important. In heterogeneous environments, remote sensing offers a timely, economical, and effective method for assessing foliar biochemical ratios at varying spatial and temporal scales. Hence, this study provides a synopsis of the advancement in remote sensing technology, limitations, and emerging opportunities in mapping the C:N ratio in rangelands. Specifically, the paper focuses on multispectral and hyperspectral sensors and investigates their properties, absorption features, empirical and physical methods, and algorithms in predicting the C:N ratio in grasslands. Literature shows that the determination of the C:N ratio in grasslands is not in line with developments in remote sensing technologies. Thus, the use of advanced and freely available sensors with improved spectral and spatial properties such as Sentinel 2 and Landsat 8/9 with sophisticated algorithms may provide new opportunities to estimate C:N ratio in grasslands at regional scales, especially in developing countries. Spectral bands in the near-infrared, shortwave infrared, red, and red edge were identified to predict the C:N ratio in plants. New indices developed from recent multispectral satellite imagery, for example, Sentinel 2 aided by cutting-edge algorithms, can improve the estimation of foliar biochemical ratios. Therefore, this study recommends that future research should adopt new satellite technologies with recent development in machine learning algorithms for improved mapping of the C:N ratio in grasslands.
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Affiliation(s)
- Adeola M. Arogoundade
- Discipline of Geography, School of Agricultural, Earth and Environmental Sciences, Department of Geography, University of KwaZulu-Natal, Pietermaritzburg, South Africa
| | - Onisimo Mutanga
- Discipline of Geography, School of Agricultural, Earth and Environmental Sciences, Department of Geography, University of KwaZulu-Natal, Pietermaritzburg, South Africa
| | - John Odindi
- Discipline of Geography, School of Agricultural, Earth and Environmental Sciences, Department of Geography, University of KwaZulu-Natal, Pietermaritzburg, South Africa
| | - Rowan Naicker
- Discipline of Geography, School of Agricultural, Earth and Environmental Sciences, Department of Geography, University of KwaZulu-Natal, Pietermaritzburg, South Africa
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Lin X, Wu B, Wang J, Wang G, Chen Z, Liang Y, Liu J, Wang H. Effects of Geographical and Climatic Factors on the Intrinsic Water Use Efficiency of Tropical Plants: Evidence from Leaf 13C. PLANTS (BASEL, SWITZERLAND) 2023; 12:951. [PMID: 36840299 PMCID: PMC9962877 DOI: 10.3390/plants12040951] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Revised: 02/11/2023] [Accepted: 02/13/2023] [Indexed: 06/18/2023]
Abstract
Understanding the water use efficiency (WUE) and adaptation strategies of plants in high-temperature and rainy areas is essential under global climate change. The leaf carbon content (LCC) and intrinsic WUE of 424 plant samples (from 312 plant species) on Hainan Island were measured to examine their relationship with geographical and climatic factors in herbs, trees, vines and ferns. The LCC ranged from 306.30 to 559.20 mg g-1, with an average of 418.85 mg g-1, and decreased with increasing mean annual temperature (MAT). The range of intrinsic WUE was 8.61 to 123.39 μmol mol-1 with an average value of 60.66 μmol mol-1. The intrinsic WUE decreased with increasing altitude and relative humidity (RH) and wind speed (WS), but increased with increasing latitude, MAT and rainy season temperature (RST), indicating that geographical and climatic factors affect the intrinsic WUE. Stepwise regression suggested that in tropical regions with high temperature and humidity, the change in plant intrinsic WUE was mainly driven by WS. In addition, the main factors affecting the intrinsic WUE of different plant functional types of plants are unique, implying that plants of different plant functional types have distinctive adaptive strategies to environmental change. The present study may provide an insight in water management in tropical rainforest.
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Affiliation(s)
- Xiaoyan Lin
- School of Forestry, Hainan University, Haikou 570228, China
- Rubber Research Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou 571101, China
- Opening Project Fund of Key Laboratory of Biology and Genetic Resources of Rubber Tree/State Key Laboratory Breeding Base of Cultivation and Physiology for Tropical Crops/Danzhou Investigation and Experiment Station of Tropical Crops, Ministry of Agriculture and Rural Affairs, Danzhou 571700, China
| | - Bingsun Wu
- Rubber Research Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou 571101, China
- Opening Project Fund of Key Laboratory of Biology and Genetic Resources of Rubber Tree/State Key Laboratory Breeding Base of Cultivation and Physiology for Tropical Crops/Danzhou Investigation and Experiment Station of Tropical Crops, Ministry of Agriculture and Rural Affairs, Danzhou 571700, China
| | - Jingjing Wang
- School of Forestry, Hainan University, Haikou 570228, China
- Opening Project Fund of Key Laboratory of Biology and Genetic Resources of Rubber Tree/State Key Laboratory Breeding Base of Cultivation and Physiology for Tropical Crops/Danzhou Investigation and Experiment Station of Tropical Crops, Ministry of Agriculture and Rural Affairs, Danzhou 571700, China
| | - Guoan Wang
- Beijing Key Laboratory of Farmland Soil Pollution Prevention and Remediation, Department of Environmental Sciences and Engineering, College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, China
| | - Zixun Chen
- Beijing Key Laboratory of Farmland Soil Pollution Prevention and Remediation, Department of Environmental Sciences and Engineering, College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, China
| | - Yongyi Liang
- School of Forestry, Hainan University, Haikou 570228, China
- Rubber Research Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou 571101, China
| | - Jiexi Liu
- School of Forestry, Hainan University, Haikou 570228, China
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Institutes of Plant Physiology and Ecology, Shanghai 200032, China
| | - Hao Wang
- School of Forestry, Hainan University, Haikou 570228, China
- College of International Studies, Yangzhou University, Yangzhou 225009, China
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Dong K, Li W, Tang Y, Ma S, Jiang M. Co-limitation of N and P is more prevalent in the Qinghai-Tibetan Plateau grasslands. FRONTIERS IN PLANT SCIENCE 2023; 14:1140462. [PMID: 36875596 PMCID: PMC9975565 DOI: 10.3389/fpls.2023.1140462] [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: 01/09/2023] [Accepted: 01/30/2023] [Indexed: 06/18/2023]
Abstract
Introduction Over the past three decades, the view of nutrient limitation has transferred from single-nutrient limitation to multiple-nutrient limitation. On the Qinghai-Tibetan Plateau (QTP), many nitrogen (N) and phosphorus (P) addition experiments have revealed different N- or P-limited patterns at many alpine grassland sites, whereas it is not clear what the general patterns of N and P limitation across the QTP grasslands. Methods We performed a meta-analysis, containing 107 publications, to assess how N and P constrained plant biomass and diversity in alpine grasslands across the QTP. We also tested how mean annual precipitation (MAP) and mean annual temperature (MAT) influence N and P limitations. Results The findings show that plant biomass in QTP grasslands is co-limited by N and P. Single N limitation is stronger than single P limitation, and the combined positive effect of N and P addition is stronger than that of single nutrient additions. The response of biomass to N fertilization rate shows an increase firstly and then declines, and peaks at approximately 25 g N·m-2·year-1. MAP promotes the effect of N limitation on plant aboveground biomass and diminishes the effect of N limitation on belowground biomass. Meanwhile, N and P addition generally decline plant diversity. Moreover, the negative response of plant diversity to N and P co-addition is strongest than that of single nutrient additions. Discussion Our results highlight that N and P co-limitation is more prevalent than N- or P-limitation alone in alpine grasslands on the QTP. Our findings provide a better understanding of nutrient limitation and management for alpine grasslands on the QTP.
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Affiliation(s)
- Kai Dong
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, Gannan Grassland Ecosystem National Observation and Research Station, College of Ecology, Lanzhou University, Lanzhou, Gansu, China
- Institute of Ecology, College of Urban and Environmental Sciences, and Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing, China
| | - Wenjin Li
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, Gannan Grassland Ecosystem National Observation and Research Station, College of Ecology, Lanzhou University, Lanzhou, Gansu, China
| | - Yulong Tang
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, Gannan Grassland Ecosystem National Observation and Research Station, College of Ecology, Lanzhou University, Lanzhou, Gansu, China
| | - Suhui Ma
- Institute of Ecology, College of Urban and Environmental Sciences, and Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing, China
| | - Mengluan Jiang
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, Gannan Grassland Ecosystem National Observation and Research Station, College of Ecology, Lanzhou University, Lanzhou, Gansu, 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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Wang W, Zhao J, Xing Z, Wang X. Characteristics and drivers of plant C, N, and P stoichiometry in Northern Tibetan Plateau grassland. FRONTIERS IN PLANT SCIENCE 2023; 14:1092872. [PMID: 37089650 PMCID: PMC10118023 DOI: 10.3389/fpls.2023.1092872] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Accepted: 03/14/2023] [Indexed: 05/03/2023]
Abstract
Understanding vegetation C, N, and P stoichiometry helps us not only to evaluate biogeochemical cycles and ecosystem functions but also to predict the potential impact of environmental change on ecosystem processes. The foliar C, N, and P stoichiometry in Northern Tibetan grasslands, especially the controlling factors, has been highlighted in recent years. In this study, we have collected 340 plant samples and 162 soil samples from 54 plots in three grassland types, with the purpose of evaluating the foliar C, N, and P stoichiometry and underlying control factors in three grassland types along a 1,500-km east-to-west transect in the Northern Tibetan Plateau. Our results indicated that the averaged foliar C, N, and P concentrations were 425.9 ± 15.8, 403.4 ± 22.2, and 420.7 ± 30.7 g kg-1; 21.7 ± 2.9, 19.0 ± 2.3, and 21.7 ± 5.2 g kg-1; and 1.71 ± 0.29, 1.19 ± 0.16, and 1.59 ± 0.6 g kg-1 in the alpine meadow (AM), alpine steppe (AS), and desert steppe (DS) ecosystems, respectively. The foliar C and N ratios were comparable, with values of 19.8 ± 2.8, 20.6 ± 1.9, and 19.9 ± 5.8 in the AM, AS, and DS ecosystems, respectively. Both the C/P and N/P ratios are the lowest in the AM ecosystem, with values of 252.2 ± 32.6 and 12.8 ± 1.3, respectively, whereas the highest values of 347.3 ± 57.0 and 16.2 ± 3.2 were obtained in the AS ecosystem. In contrast, the soil C, N, C/P, and N/P values decreased from the AM to DS ecosystem. Across the whole transects, leaf C, N, and P stoichiometry showed no obvious trend, but soil C and N concentrations showed an increasing trend, and soil P concentrations showed a decreasing trend with the increasing longitude. Based on the general linear model analysis, the vegetation type was the dominant factor controlling the leaf C, N, and P stoichiometry, accounting for 42.8% for leaf C, 45.1% for leaf N, 35.2% for leaf P, 52.9% for leaf C/N, 39.6% for leaf C/P, and 48.0% for leaf N/P; the soil nutrients and climate have relatively low importance. In conclusion, our results supported that vegetation type, rather than climatic variation and soil nutrients, are the major determinants of north Tibet grassland leaf stoichiometry.
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Affiliation(s)
- Wei Wang
- College of Resources and Environmental Sciences, Tibet Agriculture and Animal Husbandry University, Nyingchi, Tibet, China
- Key Laboratory of Forest Ecology in Tibet, Ministry of Education, Xizang Agriculture and Animal Husbandry College, Nyingchi, Tibet, China
- *Correspondence: Wei Wang,
| | - Jiamin Zhao
- College of Resources and Environmental Sciences, Tibet Agriculture and Animal Husbandry University, Nyingchi, Tibet, China
- Key Laboratory of Forest Ecology in Tibet, Ministry of Education, Xizang Agriculture and Animal Husbandry College, Nyingchi, Tibet, China
| | - Zhen Xing
- College of Resources and Environmental Sciences, Tibet Agriculture and Animal Husbandry University, Nyingchi, Tibet, China
| | - Xiangtao Wang
- Tibet Agricultural and Animal Husbandry University, College of Animal Science, Nyingchi, Tibet, China
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Sun J, Li J, Koyama K, Hu D, Zhong Q, Cheng D. The morphology and nutrient content drive the leaf carbon capture and economic trait variations in subtropical bamboo forest. FRONTIERS IN PLANT SCIENCE 2023; 14:1137487. [PMID: 37082346 PMCID: PMC10110945 DOI: 10.3389/fpls.2023.1137487] [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: 01/04/2023] [Accepted: 03/17/2023] [Indexed: 05/03/2023]
Abstract
Carbon absorption capability and morphological traits are crucial for plant leaf function performance. Here, we investigated the five bamboos at different elevations in Wuyi Mountain to clarify how the leaf trait responds to the elevational gradient and drives the photosynthetic capacity variations. The Standardized Major Axis Regression (SMA) analyses and the Structural Equation Model (SEM) are applied to identify how the bamboo leaf trait, including the ratio of leaf width to length (W/L), leaf mass per area (LMA), photosynthesis rates (Pn), leaf nitrogen, and phosphorus concentration (Leaf N and Leaf P) response to elevation environment, and the driving mechanism of Pn changes. Across the five bamboo species, our results revealed that leaf P scaled isometrically with respect to W/L, leaf N scaled allometrically as the 0.80-power of leaf P, and leaf N and leaf P scaled allometrically to Pn, with the exponents of 0.58 and 0.73, respectively. Besides, the SEM result showed altitude, morphological trait (W/L and LMA), and chemical trait (leaf N and leaf P) could together explain the 44% variations of Pn, with a standard total effect value of 70.0%, 38.5%, 23.6% to leaf P, leaf N, and W/L, respectively. The five bamboo species along the different elevational share an isometric scaling relationship between their leaf P and W/L, providing partial support for the general rule and operating between morphological and chemical traits. More importantly, the leaf W/L and leaf P as the main trait that affects leaf area and P utilization in growth and thus drives bamboo leaf photosynthetic capacity variations in different elevations.
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Affiliation(s)
- Jun Sun
- Key Laboratory of Aqueous Environment Protection and Pollution Control of Yangtze River in Anhui of Anhui Provincial Education Department, School of Resources and Environment, Anqing Normal University, Anqing, Anhui, China
- Key Laboratory of Humid Subtropical Eco-geographical Process, Ministry of Education, Institute of Geography, Fujian Normal University, Fuzhou, Fujian, China
| | - Jinlong Li
- Key Laboratory of Humid Subtropical Eco-geographical Process, Ministry of Education, Institute of Geography, Fujian Normal University, Fuzhou, Fujian, China
| | - Kohei Koyama
- Laboratory of Plant Ecology, Hokkaido University of Education, Asahikawa, Hokkaido, Japan
| | - Dandan Hu
- Key Laboratory of Humid Subtropical Eco-geographical Process, Ministry of Education, Institute of Geography, Fujian Normal University, Fuzhou, Fujian, China
| | - Quanlin Zhong
- Key Laboratory of Humid Subtropical Eco-geographical Process, Ministry of Education, Institute of Geography, Fujian Normal University, Fuzhou, Fujian, China
| | - Dongliang Cheng
- Key Laboratory of Humid Subtropical Eco-geographical Process, Ministry of Education, Institute of Geography, Fujian Normal University, Fuzhou, Fujian, China
- *Correspondence: Dongliang Cheng,
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Shi L, Lin Z, Wei X, Peng C, Yao Z, Han B, Xiao Q, Zhou H, Deng Y, Liu K, Shao X. Precipitation increase counteracts warming effects on plant and soil C:N:P stoichiometry in an alpine meadow. FRONTIERS IN PLANT SCIENCE 2022; 13:1044173. [PMID: 36407610 PMCID: PMC9666903 DOI: 10.3389/fpls.2022.1044173] [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: 09/14/2022] [Accepted: 10/17/2022] [Indexed: 06/16/2023]
Abstract
Temperature and precipitation are expected to increase in the forthcoming decades in the northeastern Qinghai-Tibetan Plateau, with uncertain effects of their interaction on plant and soil carbon:nitrogen:phosphorus (C:N:P) stoichiometry in alpine ecosystems. A two-year field experiment was conducted to examine the effects of warming, precipitation increase, and their interaction on soil and plant C:N:P stoichiometry at functional groups and community level in an alpine meadow. Warming increased aboveground biomass of legumes and N:P ratios of grasses and community, but did not affect soil C:N:P stoichiometry. The piecewise structural equation model (SEM) indicated that the positive effect of warming on community N:P ratio was mainly resulted from its positive influence on the aboveground biomass of functional groups. Precipitation increase reduced C:N ratios of soil, grasses, and community, indicating the alleviation in soil N-limitation and the reduction in N use efficiency of plant. SEM also demonstrated the decisive role of grasses C:N:P stoichiometry on the response of community C:N:P stoichiometry to precipitation increase. The interaction of warming and precipitation increase did not alter plant community and soil, N:P and C:P ratios, which was resulting from their antagonistic effects. The stable soil and plant community C:N:P stoichiometry raised important implications that the effect of warming was offset by precipitation increase. Our study highlights the importance of considering the interaction between warming and precipitation increase when predicting the impacts of climate change on biogeochemical cycles in alpine meadow ecosystems.
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Affiliation(s)
- Lina Shi
- College of Grassland Science and Technology, China Agricultural University, Beijing, China
| | - Zhenrong Lin
- College of Grassland Science and Technology, China Agricultural University, Beijing, China
| | - Xiaoting Wei
- Institute of Ecological Protection and Restoration, Chinese Academy of Forestry, Beijing, China
| | - Cuoji Peng
- College of Grassland Science and Technology, China Agricultural University, Beijing, China
| | - Zeying Yao
- College of Grassland Science and Technology, China Agricultural University, Beijing, China
- College of Grassland Science, Gansu Agricultural University, Lanzhou, China
| | - Bing Han
- College of Grassland Science and Technology, China Agricultural University, Beijing, China
| | - Qing Xiao
- College of Grassland Science and Technology, China Agricultural University, Beijing, China
| | - Huakun Zhou
- Key Laboratory of Restoration Ecology of Cold Area in Qinghai Province, Northwest Institute of Plateau Biology, Chinese Academy of Science, Xining, China
| | - Yanfang Deng
- Qilian Mountain National Park Qinghai Service Guarantee Center, Xining, China
| | - Kesi Liu
- College of Grassland Science and Technology, China Agricultural University, Beijing, China
| | - Xinqing Shao
- College of Grassland Science and Technology, China Agricultural University, Beijing, China
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14
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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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Duan X, Jia Z, Li J, Wu S. The influencing factors of leaf functional traits variation of Pinus densiflora Sieb. et Zucc. Glob Ecol Conserv 2022. [DOI: 10.1016/j.gecco.2022.e02177] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
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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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Li T, Peng L, Wang H, Zhang Y, Wang Y, Cheng Y, Hou F. Multi-Cutting Improves Forage Yield and Nutritional Value and Maintains the Soil Nutrient Balance in a Rainfed Agroecosystem. FRONTIERS IN PLANT SCIENCE 2022; 13:825117. [PMID: 35300009 PMCID: PMC8922440 DOI: 10.3389/fpls.2022.825117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Accepted: 02/08/2022] [Indexed: 06/14/2023]
Abstract
Increasing forage yield and nutritional quality under the premise of maintaining relatively stable land area and soil nutrient content is a necessary condition for the sustainable development of grassland animal husbandry. Different cutting models [simulated grazing (SG), hay harvesting (H)] of oat (Avena sativa), common vetch (Vicia sativa) and their mixture (Avena sativa + Vicia sativa) were studied on the Loess Plateau. The results show that (1) SG could increase forage yield, crude protein, and crude fat content and decrease crude ash content. In 2014, the yield of Avena sativa per hectare was 3,578.11 kg higher than that of H; (2) the model analysis for predicting nutritional components showed that the Crude protein (CP) and EE contents of forages in each variety (combination) showed a linear downward trend with increasing forage yield. Redundancy analysis showed that precipitation, especially in the growing season, was positively correlated with grass yield and CP content; and (3) there were significant differences in soil organic carbon, total nitrogen, NO3 --N, and NH4 +-N contents for the different forage varieties (combinations) under different use modes; the values first decreased, then increased, and finally decreased. According to the comprehensive evaluation value calculated by Technique for Order Preference by Similarity to an Ideal Solution, mixed sowing was better than monoculture, and SG obtained better results than H. Overall, mixed sowing under SG can improve forage yield and nutritional quality. At the same time, precipitation regulation is the key factor affecting the production performance of rainfed cultivated grassland on the Loess Plateau.
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Affiliation(s)
- Tengfei Li
- College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, China
| | - Luxi Peng
- College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, China
| | - Hua Wang
- College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, China
| | - Yu Zhang
- College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, China
| | - Yingxin Wang
- College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, China
| | - Yunxiang Cheng
- College of Ecology and Environment, Inner Mongolia University, Huhhot, China
| | - Fujiang Hou
- College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 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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Wang F, Liu S, Liu Y, Sun Y, Yu L, Wang Q, Dong Y, Beazley R. Long-term dynamics of nitrogen flow in a typical agricultural and pastoral region on the Qinghai-Tibet Plateau and its optimization strategy. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2021; 288:117684. [PMID: 34252713 DOI: 10.1016/j.envpol.2021.117684] [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: 04/05/2021] [Revised: 06/24/2021] [Accepted: 06/27/2021] [Indexed: 06/13/2023]
Abstract
Nitrogen (N) plays a central role in livestock development and food production in agricultural and pastoral regions, while its flow and loss can affect environmental quality, biodiversity and human health. A comprehensive understanding of the sources, patterns and drivers of N flow helps to alleviate its negative effects and promote sustainable management. We developed a county-scale N flow model to quantitatively analyze the N use efficiency (NUE), N losses and their driving forces in the food production and consumption system (FCPS) on the Qinghai-Tibet Plateau (QTP). More sustainable N utilization was further investigated through scenario analyses. Our results revealed that N fluxes doubled from 1998 to 2018 to maintain the growing demands for human food production and consumption in Ledu County, which was related to the increasing N losses to the atmosphere and water environment. The surging N fluxes greatly changed the N distribution pattern, resulting in a relatively low NUE (mean value: 29.41%) in the crop-production subsystem (CPS) and a relatively high NUE (mean value: 23.50%) in the livestock-breeding subsystem (LBS). The CPS contributed the most to the N losses. The urban population, animal-derived consumption, crop planting structure, imported fodder and N fertilizer application level were closely associated with N losses. The scenario analysis indicated that combined reasonable changes in planting structure, precision animal feeding, fertilizer management, diets and conversion of cropland into pasture could reduce N losses in 2030 to 5%-61% of Business as usual level. Our results highlighted the strong anthropogenic impact on the N flow of food production and consumption and suggested a sustainable N flow management strategy to harmonize the relationship between N flow and anthropogenically driven factors on the QTP.
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Affiliation(s)
- Fangfang Wang
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, 100875, China
| | - Shiliang Liu
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, 100875, China.
| | - Yixuan Liu
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, 100875, China
| | - Yongxiu Sun
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, 100875, China
| | - Lu Yu
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, 100875, China
| | - Qingbo Wang
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, 100875, China
| | - Yuhong Dong
- Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091, China
| | - Robert Beazley
- Department of Natural Resources, College of Agriculture and Life Sciences, Fernow Hall 302, Cornell University, Ithaca, NY, 14853, USA
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Li S, Wang H, Gou W, White JF, Kingsley KL, Wu G, Su P. Leaf functional traits of dominant desert plants in the Hexi Corridor, Northwestern China: Trade-off relationships and adversity strategies. Glob Ecol Conserv 2021. [DOI: 10.1016/j.gecco.2021.e01666] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022] Open
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21
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Qin Y, Feng Q, Adamowski JF, Zhu M, Zhang X. Community level response of leaf stoichiometry to slope aspect in a montane environment: A case study from the Central Qilian Mountains, China. Glob Ecol Conserv 2021. [DOI: 10.1016/j.gecco.2021.e01703] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
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22
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The Variation in the Stoichiometric Characteristics of the Leaves and Roots of Karst Shrubs. FORESTS 2021. [DOI: 10.3390/f12070852] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Currently, vegetation restoration is being implemented in the ecologically fragile karst areas in southwest China; however, the stoichiometry of the dominant shrubs and their relationship with the environmental factors in the degraded habitats is still unclear. In this study, we investigated the stoichiometry of C, N, and P, their internal correlations, and influencing factors in 23 shrub species in the Huanjiang County in northwest Guangxi Province, China. We found that the mean contents of C, N and P in leaves were higher than those in roots. In addition, the N:P ratio in the leaves was significantly higher than that in the roots, but the opposite was observed for the C:N and C:P ratios. Except for Leaf C and Root C, significant positive or negative correlations were observed across the stoichiometry of the shrub leaves and roots. A factor analysis of variance demonstrated that the differences across species had higher explanatory power than the topography and soil nutrients in terms of the shrub leaf and root stoichiometry. Hence, our results can improve the understanding of the distribution patterns of these vital elements, as well as of the interactions and influencing factors in the different organs of the karst shrubs.
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Liu D, Zheng D, Xu Y, Chen Y, Wang H, Wang K, Liao X, Chen C, Xia J, Jin S. Changes in the stoichiometry of Castanopsis fargesii along an elevation gradient in a Chinese subtropical forest. PeerJ 2021; 9:e11553. [PMID: 34131527 PMCID: PMC8176907 DOI: 10.7717/peerj.11553] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2020] [Accepted: 05/11/2021] [Indexed: 11/25/2022] Open
Abstract
Elevation is important for determining the nutrient biogeochemical cycle in forest ecosystems. Changes in the ecological stoichiometry of nutrients along an elevation gradient can be used to predict how an element cycle responds in the midst of global climate change. We investigated changes in concentrations of and relationships between nitrogen (N), phosphorus (P), potassium (K), calcium (Ca), and magnesium (Mg) in the leaves and roots of the dominant tree species, Castanopsis fargesii, along an elevation gradient (from 500 to 1,000 m above mean sea level) in a subtropical natural forest in China. We analyzed correlations between C. fargesii's above-ground biomass and stoichiometry with environmental factors. We also analyzed the soil and plant stoichiometry of this C. fargesii population. Our results showed that leaf N decreased while leaf K and Ca increased at higher elevations. Meanwhile, leaf P showed no relationship with elevation. The leaf N:P indicated that C. fargesii was limited by N. Elevation gradients contributed 46.40% of the total variance of ecological stoichiometry when assessing environmental factors. Our research may provide a theoretical basis for the biogeochemical cycle along with better forest management and fertilization for this C. fargesii population.
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Affiliation(s)
- Danping Liu
- College of Forestry, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Dexiang Zheng
- College of Forestry, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Yaoyao Xu
- College of Forestry, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Yifei Chen
- College of Forestry, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Hesong Wang
- School of Ecology and Nature Conservation, Beijing Forestry University, Beijing, China
| | - Ku Wang
- Department of Geography, Minjiang University, Fuzhou, China
| | - Xiaoli Liao
- Department of Geography, Minjiang University, Fuzhou, China
| | - Changxiong Chen
- College of Forestry, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Jiangjiang Xia
- Key Laboratory of Regional Climate-Environment for Temperate East Asia, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
| | - Shaofei Jin
- Department of Geography, Minjiang University, Fuzhou, China
- Institute of Eco-Chongming, East China Normal University, Shanghai, China
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24
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Divergent Adaptation Strategies of Vascular Facultative Epiphytes to Bark and Soil Habitats: Insights from Stoichiometry. FORESTS 2020. [DOI: 10.3390/f12010016] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Understanding the stoichiometric traits of plants is critical for studying their ecological adaptation strategies. Facultative epiphytes (which can also live on the ground) are an important component of epiphytic flora of montane forest ecosystems. However, a key gap persists in our understanding how facultative epiphytes can adapt different nutritional conditions of ground and canopy habitats? To study adaptive strategies of facultative epiphytes and the characteristics of the content and stoichiometric homeostasis of C, N, and P elements, we conducted a field experiment and a greenhouse N and P additions cultivation experiment. We found that epiphytic individuals of facultative epiphytes showed lower C:N and C:P ratios, higher variation in elemental composition, and more pronounced N limitation than terrestrial individuals. Moreover, facultative epiphytes showed strong control over the elemental composition of leaves, and their stoichiometric homeostasis of leaves and stems were stronger than roots. Furthermore, the homeostasis of facultative epiphytes decreased in the order N > P. Our results indicated that epiphytic and terrestrial individuals of facultative epiphytes have difference in nutrient limitation, and they use plastic strategies in different habitats. Epiphytic individuals survive in the intermittent habitat through luxury consumption of nutrient while terrestrial individuals were relatively conservative nutrient users. Furthermore, our results implied that facultative epiphytes maintain stable metabolic leaf activity via variable element concentrations of roots to adapt to highly heterogeneous forest habitats.
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Xu S, Sardans J, Zhang J, Peñuelas J. Variations in foliar carbon:nitrogen and nitrogen:phosphorus ratios under global change: a meta-analysis of experimental field studies. Sci Rep 2020; 10:12156. [PMID: 32699217 PMCID: PMC7376191 DOI: 10.1038/s41598-020-68487-0] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2019] [Accepted: 03/20/2020] [Indexed: 12/01/2022] Open
Abstract
Foliar-level stoichiometry plays an important role in ecosystem elemental cycling. Shifts in foliar ratios of carbon to nitrogen (C:N) and nitrogen to phosphorus (N:P) in response to global change can therefore have a large impact upon ecosystem function. We conducted a meta-analysis with 2,236 paired observations from 123 published studies to investigate the responses of foliar C:N and N:P ratios to experimental global change treatments, i.e. warming, increased precipitation, drought, N addition and elevated carbon dioxide concentration (eCO2), in field conditions. Foliar C:N and N:P ratios were neither affected by warming nor by increased precipitation. Foliar C:N ratio increased with drought and eCO2, and decreased with N addition. Foliar N:P ratios declined with eCO2, and increased under drought and N addition. Our results suggested the responses of the C:N ratio to global change were mainly related to shifts in foliar [N], whereas changes in the N:P ratio were related to the responses of both [N] and [P]. Moreover, the response magnitude of foliar N:P ratio decreased with treatment duration under increased precipitation, N addition and eCO2. Our findings are important for our understanding of plant nutrient dynamic and modeling of nutrient biogeochemistry under global change.
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Affiliation(s)
- Shan Xu
- Guangdong Key Laboratory of Integrated Agro-Environmental Pollution Control and Management, Guangdong Institute of Eco-Environmental Science and Technology, Guangzhou, 510650, China.
| | - Jordi Sardans
- CSIC, Global Ecology Unit CREAF-CSIC-UAB, 08913, Bellaterra, Catalonia, Spain
- CREAF, 08913, Cerdanyola del Vallès, Catalonia, Spain
| | - Jinlong Zhang
- Flora Conservation Department, Kadoorie Farm and Botanic Garden, Tai Po, New Territories, Hong Kong SAR, China
| | - Josep Peñuelas
- CSIC, Global Ecology Unit CREAF-CSIC-UAB, 08913, Bellaterra, Catalonia, Spain
- CREAF, 08913, Cerdanyola del Vallès, Catalonia, Spain
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26
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Gong Y, Ling H, Chen Y, Cao J, Guo Z, Lv G. N:P stoichiometric changes via species turnover in arid versus saline desert environments. Ecol Evol 2020; 10:6636-6645. [PMID: 32724538 PMCID: PMC7381577 DOI: 10.1002/ece3.6395] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2020] [Revised: 04/22/2020] [Accepted: 04/24/2020] [Indexed: 01/26/2023] Open
Abstract
Aridity and salinity have a key role in driving physiological and ecological processes in desert ecosystems. However, how community-scale foliar nutrients respond to aridity and salinity, and how these responses might vary with community composition along aridity and salinity gradients is unclear. We hypothesize that the response will be a shift in community stoichiometric values resulting from nutrient variability of shared species and unique species (site-specific species), but little research has addressed the relative contribution of either component.We analyzed the community-scale stoichiometric response of a desert community of perennial plants along an aridity and salinity transect by focusing on foliar nitrogen (N) and phosphorous (P) concentrations and N:P ratios. After evaluating the shared and unique species variability, we determined their relative contribution to the community stoichiometric response to aridity and salinity, reflected by changes in nonweighted and weighted community-average values.Community-scale stoichiometry decreased significantly under aridity and salinity, with significantly consistent changes in nonweighted and weighted community-average stoichiometry for most shared and unique species measurements. The relative contribution of unique species shifts to the changes in community stoichiometry was greater (15%-77%) than the relative contribution of shared species shifts (7%-45%), excluding the change in weighted P concentration under aridity. Thus, the shifts of unique species amplified the community stoichiometric response to environmental changes. Synthesis. These results highlighted the need for a more in-depth consideration of shared and unique species variability to understand and predict the effects of environmental change on the stoichiometry of plant communities. Although variation in community stoichiometry can be expected under extreme aridity and salinity conditions, changes of unique species could be a more important driver of the stoichiometric response of plant communities.
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Affiliation(s)
- Yan‐Ming Gong
- State Key Laboratory of Desert and Oasis EcologyXinjiang Institute of Ecology and GeographyChinese Academy of Sciences (CAS)UrumqiChina
| | - Hong‐Bo Ling
- State Key Laboratory of Desert and Oasis EcologyXinjiang Institute of Ecology and GeographyChinese Academy of Sciences (CAS)UrumqiChina
| | - Yue Chen
- Xinjiang Key Laboratory of Oasis EcologyXinjiang UniversityUrumqiChina
| | - Jing Cao
- Xinjiang Key Laboratory of Oasis EcologyXinjiang UniversityUrumqiChina
| | - Zhen‐Jie Guo
- Xinjiang Key Laboratory of Oasis EcologyXinjiang UniversityUrumqiChina
| | - Guang‐Hui Lv
- Xinjiang Key Laboratory of Oasis EcologyXinjiang UniversityUrumqiChina
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Pang Y, Tian J, Zhao X, Chao Z, Wang Y, Zhang X, Wang D. The linkages of plant, litter and soil C:N:P stoichiometry and nutrient stock in different secondary mixed forest types in the Qinling Mountains, China. PeerJ 2020; 8:e9274. [PMID: 32547880 PMCID: PMC7275688 DOI: 10.7717/peerj.9274] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2019] [Accepted: 05/11/2020] [Indexed: 11/20/2022] Open
Abstract
Background Carbon (C), nitrogen (N) and phosphorus (P) stoichiometric ratios are important indicators of ecosystem function and productivity. However, few studies have assessed the nutrient relationship between plant, litter and soil, and the nutrient stock in different secondary mixed forest types. Methods We investigated the C, N and P concentrations and stoichiometric ratios in trees, understory plants, litter and soil layers in three different secondary mixed forest types (broadleaf mixed forests (BM), broadleaf-conifer mixed forests (BCM) and coniferous mixed forests (CM)) in the Qinling Mountains. Results The results showed that significant differences in C:N:P stoichiometry were detected in multiple organs in the vegetation layers in the different forest types. Trees, shrubs and herbs all allocated more N and P in leaves and had a higher N:P ratio in leaves than in other organs. The C concentrations, C:N ratios and C:P ratios of all tree organs showed a decreasing order: BM < BCM < CM, while the N and P concentrations showed an increasing order: BM > BCM > CM. For litter and soil, BM had generally higher N and P concentrations than those of BCM and CM. The highest N and P stock was in tree branches-not in the stem, which had the highest biomass (except for P in CM). Compared with other forest types, CM stored more nutrients in the labile litter layer, while BM stored more nutrients in the stable soil layer. The net ecosystem nutrient element stock in BM was generally higher than that in BCM and CM. The C, N and P concentrations and stoichiometry in the plant organs, litter and soil were significantly correlated. Conclusion Our findings demonstrate that nutrient concentrations in plant organs, litter and soil are tightly linked in secondary mixed forests.
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Affiliation(s)
- Yue Pang
- College of Forestry, Northwest A&F University, Yangling, China
| | - Jing Tian
- College of Forestry, Northwest A&F University, Yangling, China
| | - Xuan Zhao
- College of Forestry, Northwest A&F University, Yangling, China
| | - Zhi Chao
- College of Forestry, Northwest A&F University, Yangling, China
| | - Yuchao Wang
- Institute of Botany of Shaanxi Province, Xi'an, China.,Shaanxi Engineering Research Centre for Conservation and Utilization of Botanical Resources, Xi'an, China
| | - Xinping Zhang
- School of Art and Design, Xi'an University of Technology, Xi'an, China
| | - Dexiang Wang
- College of Forestry, Northwest A&F University, Yangling, China
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28
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Zhang J, He N, Liu C, Xu L, Chen Z, Li Y, Wang R, Yu G, Sun W, Xiao C, Chen HYH, Reich PB. Variation and evolution of C:N ratio among different organs enable plants to adapt to N-limited environments. GLOBAL CHANGE BIOLOGY 2020; 26:2534-2543. [PMID: 31873968 DOI: 10.1111/gcb.14973] [Citation(s) in RCA: 50] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/22/2019] [Revised: 11/20/2019] [Accepted: 12/17/2019] [Indexed: 05/11/2023]
Abstract
Carbon (C) and nitrogen (N) are the primary elements involved in the growth and development of plants. The C:N ratio is an indicator of nitrogen use efficiency (NUE) and an input parameter for some ecological and ecosystem models. However, knowledge remains limited about the convergent or divergent variation in the C:N ratios among different plant organs (e.g., leaf, branch, trunk, and root) and how evolution and environment affect the coefficient shifts. Using systematic measurements of the leaf-branch-trunk-root of 2,139 species from tropical to cold-temperate forests, we comprehensively evaluated variation in C:N ratio in different organs in different taxa and forest types. The ratios showed convergence in the direction of change but divergence in the rate of change. Plants evolved toward lower C:N ratios in the leaf and branch, with N playing a more important role than C. The C:N ratio of plant organs (except for the leaf) was constrained by phylogeny, but not strongly. Both the change of C:N during evolution and its spatial variation (lower C:N ratio at midlatitudes) help develop the adaptive growth hypothesis. That is, plants with a higher C:N ratio promote NUE under strong N-limited conditions to ensure survival priority, whereas plants with a lower C:N ratio under less N-limited environments benefit growth priority. In nature, larger proportion of species with a high C:N ratio enabled communities to inhabit more N-limited conditions. Our results provide new insights on the evolution and drivers of C:N ratio among different plant organs, as well as provide a quantitative basis to optimize land surface process models.
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Affiliation(s)
- Jiahui Zhang
- 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
| | - 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
- Institute of Grassland Science, Northeast Normal University and Key Laboratory of Vegetation Ecology, Ministry of Education, Changchun, 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
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China
| | - Li Xu
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
| | - Zhi Chen
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
| | - Ying Li
- The Key Laboratory for Forest Resources and Ecosystem Processes of Beijing, Beijing Forestry University, Beijing, China
| | - Ruomeng Wang
- 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
| | - Guirui Yu
- 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
| | - Wei Sun
- Institute of Grassland Science, Northeast Normal University and Key Laboratory of Vegetation Ecology, Ministry of Education, Changchun, China
| | - Chunwang Xiao
- College of Life and Environmental Sciences, Minzu University of China, Beijing, China
| | - Han Y H Chen
- Faculty of Natural Resources Management, Lakehead University, Thunder Bay, ON, Canada
- Key Laboratory for Humid Subtropical Eco-Geographical Processes of the Ministry of Education, Fujian Normal University, Fuzhou, China
| | - Peter B Reich
- Department of Forest Resources, University of Minnesota, St Paul, MN, USA
- Hawkesbury Institute for the Environment, Western Sydney University, Penrith, NSW, Australia
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29
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Jäschke Y, Heberling G, Wesche K. Environmental controls override grazing effects on plant functional traits in Tibetan rangelands. Funct Ecol 2019. [DOI: 10.1111/1365-2435.13492] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
Affiliation(s)
- Yun Jäschke
- Senckenberg Museum of Natural History Görlitz Görlitz Germany
| | - Gwendolyn Heberling
- Gesellschaft für Freilandökologie und Naturschutzplanung mbH Molfsee Germany
| | - Karsten Wesche
- Senckenberg Museum of Natural History Görlitz Görlitz Germany
- German Centre for Integrative Biodiversity Research (iDiv) Halle‐Jena‐Leipzig Leipzig Germany
- International Institute Zittau Technische Universität Dresden Zittau Germany
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30
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Guo L, Li J, He W, Liu L, Huang D, Wang K. High nutrient uptake efficiency and high water use efficiency facilitate the spread of Stellera chamaejasme L. in degraded grasslands. BMC Ecol 2019; 19:50. [PMID: 31801501 PMCID: PMC6894284 DOI: 10.1186/s12898-019-0267-3] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2019] [Accepted: 11/27/2019] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Stellera chamaejasme L. is a poisonous plant widely distributes in degraded grasslands in China. The mechanism underlying its spread remains unknown. In some degraded grasslands, S. chamaejasme has gradually replaced previous dominant species, such as Leymus chinensis, Stipa krylovii, Artemisia eriopoda on typical steppes. Apart from its unpalatability by livestock, we hypothesized that the survival strategy (nutrient uptake and water use efficiency) of S. chamaejasme in degraded grasslands could be distinct from other coexisting species in the community. Recently, ecological stoichiometry has been suggested as a new approach for studying the demand for natural resources of plants in a changing world, and the leaf carbon isotopic composition (δ13C leaf) as a rapid and effective high throughput phenotyping method for water use efficiency (WUE), both of which can reveal the survival and adaptive strategies of plants. Therefore, in this study we aimed to fill the knowledge gap concerning ecological stoichiometry in the leaf, stem, and root of S. chamaejasme and its surrounding soil on grasslands with different degrees of degradation, and comparing the leaf nutrient content and δ13C of S. chamaejasme with the coexisting species (L. chinensis, S. krylovii, A. eriopoda) in the communities. Toward this goal, we conducted a field survey in which plants and soils were sampled from four different degraded grasslands on typical steppes in China. RESULTS Our results showed that there is no significant difference of carbon content (C%) and nitrogen content (N%) in leaves of S. chamaejasme in different degraded grasslands, and all element contents and element ratios in stems did not differ significantly. Meanwhile, ecological stoichiometry of S. chamaejasme is distinct from the coexisting species, with low C%, high N% and phosphorus content (P%) in the leaf, indicating high nutrient uptake efficiency of S. chamaejasme in nutrient-poor environments like degraded grasslands. Additionally, S. chamaejasme showed significant higher WUE than other species. CONCLUSIONS Our results indicated that high nutrient uptake efficiency and high WUE of S. chamaejasme might together contribute to the spread of S. chamaejasme in degraded grasslands.
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Affiliation(s)
- Lizhu Guo
- Department of Grassland Science, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
- GuYuan National Grassland Ecosystem Field Station, Zhangjiakou, 076550, China
| | - Jiahuan Li
- Department of Grassland Science, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
- GuYuan National Grassland Ecosystem Field Station, Zhangjiakou, 076550, China
| | - Wei He
- Department of Biology, Northwest University, Xi'an, 710069, China
| | - Li Liu
- Department of Grassland Science, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
- GuYuan National Grassland Ecosystem Field Station, Zhangjiakou, 076550, China
| | - Ding Huang
- Department of Grassland Science, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
- GuYuan National Grassland Ecosystem Field Station, Zhangjiakou, 076550, China
| | - Kun Wang
- Department of Grassland Science, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China.
- GuYuan National Grassland Ecosystem Field Station, Zhangjiakou, 076550, China.
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Li C, Zheng Z, Peng Y, Nie X, Yang L, Xiao Y, Zhou G. Precipitation and nitrogen addition enhance biomass allocation to aboveground in an alpine steppe. Ecol Evol 2019; 9:12193-12201. [PMID: 31832153 PMCID: PMC6854108 DOI: 10.1002/ece3.5706] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2019] [Revised: 09/09/2019] [Accepted: 09/11/2019] [Indexed: 01/13/2023] Open
Abstract
There are two important allocation hypotheses in plant biomass allocation: allometric and isometric. We tested these two hypotheses in an alpine steppe using plant biomass allocation under nitrogen (N) addition and precipitation (Precip) changes at a community level. An in situ field manipulation experiment was conducted to examine the two hypotheses and the responses of the biomass to N addition (10 g N m-2 y-1) and altered Precip (±50% precipitation) in an alpine steppe on the Qinghai-Tibetan Plateau from 2013 to 2016. We found that the plant community biomass differed in its response to N addition and reduced Precip such that N addition significantly increased aboveground biomass (AGB), while reduced Precip significantly decreased AGB from 2014 to 2016. Moreover, reduced Precip enhanced deep soil belowground biomass (BGB). In the natural alpine steppe, the allocation between AGB and BGB was consistent with the isometric hypotheses. In contrast, N addition or altered Precip enhanced biomass allocation to aboveground, thus leading to allometric growth. More importantly, reduced Precip enhanced biomass allocation into deep soil. Our study provides insight into the responses of alpine steppes to global climate change by linking AGB and BGB allocation.
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Affiliation(s)
- Changbin Li
- Key Laboratory of Tibetan Medicine ResearchNorthwest Institute of Plateau BiologyChinese Academy of ScienceXiningChina
- Qinghai Key Laboratory of Qing‐Tibet Biological ResourcesXiningChina
- University of Chinese Academy of ScienceBeijingChina
| | - Zhi Zheng
- Key Laboratory of Tibetan Medicine ResearchNorthwest Institute of Plateau BiologyChinese Academy of ScienceXiningChina
- Qinghai Key Laboratory of Qing‐Tibet Biological ResourcesXiningChina
| | - Yunfeng Peng
- State Key Laboratory of Vegetation and Environmental ChangeInstitute of BotanyChinese Academy of SciencesBeijingChina
| | - Xiuqing Nie
- Key Laboratory of Tibetan Medicine ResearchNorthwest Institute of Plateau BiologyChinese Academy of ScienceXiningChina
- Qinghai Key Laboratory of Qing‐Tibet Biological ResourcesXiningChina
- University of Chinese Academy of ScienceBeijingChina
| | - Lucun Yang
- Key Laboratory of Tibetan Medicine ResearchNorthwest Institute of Plateau BiologyChinese Academy of ScienceXiningChina
- Qinghai Key Laboratory of Qing‐Tibet Biological ResourcesXiningChina
| | - Yuanming Xiao
- Key Laboratory of Tibetan Medicine ResearchNorthwest Institute of Plateau BiologyChinese Academy of ScienceXiningChina
- Qinghai Key Laboratory of Qing‐Tibet Biological ResourcesXiningChina
- University of Chinese Academy of ScienceBeijingChina
| | - Guoying Zhou
- Key Laboratory of Tibetan Medicine ResearchNorthwest Institute of Plateau BiologyChinese Academy of ScienceXiningChina
- Qinghai Key Laboratory of Qing‐Tibet Biological ResourcesXiningChina
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32
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An H, Tang Z, Keesstra S, Shangguan Z. Impact of desertification on soil and plant nutrient stoichiometry in a desert grassland. Sci Rep 2019; 9:9422. [PMID: 31263198 PMCID: PMC6603008 DOI: 10.1038/s41598-019-45927-0] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2018] [Accepted: 06/20/2019] [Indexed: 11/10/2022] Open
Abstract
Grassland degradation resulting from desertification often alters the carbon (C), nitrogen (N) and phosphorus (P) cycles within grassland ecosystems. To estimate the effects of desertification on the C, N, and P concentrations and C:N:P stoichiometry of plants and soil, we examined C, N, and P concentrations in plant tissues (leaves, roots and litter) and soil across five degrees of desertification in the desert grassland of Ningxia, China (control, light, moderate, severe and very severe desertification stages). The C, N, and P concentrations and C:N:P stoichiometry of the leaves, roots and litter differed among the different desertification stages. Desertification resulted in opposing trends between the leaf N concentration and leaf C:N ratio. With the exception of the very severe desertification stage, the leaf N:P ratio decreased over the process of grassland desertification. The soil C, N, and P concentrations and soil N:P and C:P ratios decreased significantly along the grassland desertification gradient. In contrast, the soil C:N ratio remained relatively stable during desertification (10.85 to 11.48). The results indicate that desertification is unfavourable to C and N fixation and has a negative effect on the ecosystem structure and function of desert grassland.
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Affiliation(s)
- Hui An
- Breeding Base for State Key Laboratory of Land Degradation and Ecological Restoration in Northwest China, Ningxia University, Yinchuan, Ningxia, 750021, China
| | - Zhuangsheng Tang
- State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Northwest A&F University, Yangling, Shaanxi, 712100, China
| | - Saskia Keesstra
- Soil Physics and Land Management Group, Wageningen University, 6708 PB, Wageningen, The Netherlands
- Civil, Surveying and Environmental Engineering, The University of Newcastle, Callaghan, 2308, Australia
| | - Zhouping Shangguan
- State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Northwest A&F University, Yangling, Shaanxi, 712100, China.
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Ma W, Li J, Jimoh SO, Zhang Y, Guo F, Ding Y, Li X, Hou X. Stoichiometric ratios support plant adaption to grazing moderated by soil nutrients and root enzymes. PeerJ 2019; 7:e7047. [PMID: 31218124 PMCID: PMC6563791 DOI: 10.7717/peerj.7047] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2019] [Accepted: 04/27/2019] [Indexed: 11/20/2022] Open
Abstract
Background Vegetation succession is one of the major driving processes of grassland degradation. Stoichiometry significantly contributes to vegetation dynamics. However, a knowledge gap exists in how soil nutrients and root enzymes influence the stoichiometric ratio to affect vegetation dynamics. Methods To address these questions, we selected a dominant species (Leymus chinensis (Trin.) Tzvel.) and a degraded-dominant species (Artemisia frigida Willd.) under different management regimes (enclosure and grazing) on the Inner Mongolia steppe. We measured (i) plant nutrient concentrations, (ii) root enzymes and (iii) soil nutrients to investigate how the selected plant species responded to grazing. Results The results show that: (i) N and P concentrations and the C:N:P ratio in different organs are significantly affected by grazing, and there is variation in the plant species' response. Grazing significantly increased N and P in the leaves and stems of L. chinensis and the stems and roots of A. frigida. (ii) Grazing significantly increased the activities of glutamine synthase but decreased the activities of acid phosphatase in L. chinensis. The nitrate reductase and acid phosphatase activities significantly increased in A. frigida under grazing conditions. (iii) Grazing decreased the total nitrogen, total phosphorus, and available nitrogen, but increased the available phosphorus in the soil. Conclusion We conclude that A. frigida is better adapted to grazing than L. chinensis, possibly because of its relatively increased stem and root growth, which enhance population expansion following grazing. Conversely, L. chinensis showed increased leaf and stem growth, but suffered nutrient and biomass loss as a result of excessive foraging by livestock, which severely affected its ability to colonize. Root enzymes coupled with soil nutrients can regulate plant nutrients and stoichiometric ratios as an adaptive response to grazing. Thus, we demonstrated that stoichiometric ratios allow species to better withstand grazing disturbances. This study provides a new understanding of the mechanisms involved in grazing-resistance within a plant-soil system.
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Affiliation(s)
- Wenjing Ma
- Institute of Grassland Research, Chinese Academy of Agricultural Sciences, Hohhot, Inner Mongolia, China
| | - Jin Li
- College of Grassland Science and Technology, China Agricultural University, Beijing, China
| | - Saheed Olaide Jimoh
- Institute of Grassland Research, Chinese Academy of Agricultural Sciences, Hohhot, Inner Mongolia, China
| | - Yujuan Zhang
- Institute of Grassland Research, Chinese Academy of Agricultural Sciences, Hohhot, Inner Mongolia, China
| | - Fenghui Guo
- Institute of Grassland Research, Chinese Academy of Agricultural Sciences, Hohhot, Inner Mongolia, China
| | - Yong Ding
- Institute of Grassland Research, Chinese Academy of Agricultural Sciences, Hohhot, Inner Mongolia, China.,Key Laboratory of Grassland Ecology and Restoration of Ministry of Agriculture, Hohhot, Inner Mongolia, China
| | - Xiliang Li
- Institute of Grassland Research, Chinese Academy of Agricultural Sciences, Hohhot, Inner Mongolia, China.,Key Laboratory of Grassland Ecology and Restoration of Ministry of Agriculture, Hohhot, Inner Mongolia, China
| | - Xiangyang Hou
- Institute of Grassland Research, Chinese Academy of Agricultural Sciences, Hohhot, Inner Mongolia, China.,Key Laboratory of Grassland Ecology and Restoration of Ministry of Agriculture, Hohhot, Inner Mongolia, China
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34
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Chou Q, Cao T, Ni L, Xie P, Jeppesen E. Leaf Soluble Carbohydrates, Free Amino Acids, Starch, Total Phenolics, Carbon and Nitrogen Stoichiometry of 24 Aquatic Macrophyte Species Along Climate Gradients in China. FRONTIERS IN PLANT SCIENCE 2019; 10:442. [PMID: 31031783 PMCID: PMC6470362 DOI: 10.3389/fpls.2019.00442] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/13/2018] [Accepted: 03/22/2019] [Indexed: 05/30/2023]
Abstract
Leaf soluble carbohydrates (SC), free amino acids (FAA), starch, total phenolics (TOPH), carbon (C), and nitrogen (N) stoichiometry of 24 aquatic macrophyte species were studied at 52 selected sites in eastern, 31 sites in southwestern and 6 sites in western China, including 12 submerged, 6 floating-leaved, 4 emergent and 2 free-floating macrophytes. The leaf stoichiometric characteristics differed significantly among the plant species of the four different life forms, the lowest C content occurring in submerged macrophytes and the highest N content in free-floating macrophytes. Overall, though the variance explained by the linear regression models was low, the C and N contents decreased toward the northern latitudes, the C content and the C:N ratios increased with increasing altitude. Multiple regressions revealed that the stoichiometric characteristics of submerged macrophytes varied significantly across the large spatial and climatic gradients and among the species studied. For floating-leaved and emergent macrophytes, no correlation between climate factors and SC, FAA, starch, TOPH, C, and N contents and C:N ratio was observed. For free-floating macrophytes, the TOPH content was markedly positively correlated with latitude and altitude. We conclude that the C and N contents related more closely to latitude, altitude or mean annual air temperature than did the C and N metabolic indicators for the submerged macrophytes, while the relationships with the metabolic indicators turned out to be insignificant for most species of the other life forms. The results helped us to identify species with significant physiological plasticity across geographic and climatic gradients in China, and such information is useful when conducting restoration of lost aquatic plants in different climate regions.
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Affiliation(s)
- Qingchuan Chou
- Donghu Experimental Station of Lake Ecosystem, State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
- Department of Bioscience, Aarhus University, Silkeborg, Denmark
| | - Te Cao
- Donghu Experimental Station of Lake Ecosystem, State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China
| | - Leyi Ni
- Donghu Experimental Station of Lake Ecosystem, State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China
| | - Ping Xie
- Donghu Experimental Station of Lake Ecosystem, State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China
| | - Erik Jeppesen
- Department of Bioscience, Aarhus University, Silkeborg, Denmark
- Sino-Danish Center for Education and Research, University of Chinese Academy of Sciences, Beijing, China
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35
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Gale NV, Thomas SC. Dose-dependence of growth and ecophysiological responses of plants to biochar. THE SCIENCE OF THE TOTAL ENVIRONMENT 2019; 658:1344-1354. [PMID: 30677995 DOI: 10.1016/j.scitotenv.2018.12.239] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/18/2018] [Revised: 11/29/2018] [Accepted: 12/15/2018] [Indexed: 05/04/2023]
Abstract
Charcoal is a ubiquitous legacy of wildfire in terrestrial systems that often contributes to rapid revegetation following disturbance; the use of charcoal soil amendments, or "biochars", to promote plant growth has received recent research attention and increasing applied use. Despite its widespread use, well-resolved quantitative estimates of dose-response relationships for biochar effects on plant growth are nonexistent, and studies of biochar dosage effects on plant ecophysiology are minimal. We investigated the effects of biochar dosage on plant growth and ecophysiology in a glasshouse experiment involving two common early-successional plants, Abutilon theophrasti and Trifolium repens. Plants were grown in disturbed temperate soils with increasing dosages of wood biochars: 0, 2, 4, 6, 8, 10, 20, 30, 40, 50 t/ha. We measured leaf-level gas-exchange traits (Amax, gs, WUE), chlorophyll concentration, and leaf area growth throughout the experiment. At the end of the experiment, we measured biomass, foliar nutrition, and soil properties (pH, EC, C and N). Responses of biomass and physiological traits were highly dose-dependent, followed primarily unimodal forms, and differed in some traits between species. Increases in the uptake of K, P, and Mg, were responsible for accelerated growth. Biochars also generally increased the concentration of micronutrients, especially B. As a result, nutrient stoichiometry shifted substantially: in A. theophrasti, biochars increased C:N, P:N, and K:N ratios, suggesting nitrogen dilution or induced deficiency at higher dosages. This work supports the general hypothesis that ecophysiological responses to biochar are dose-dependent and driven mainly by changes in nutrient availability. Additional work is necessary to understand the broader ecological impacts of heterogeneity in soil pyrogenic C levels to succession and ecosystem function.
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Affiliation(s)
- Nigel V Gale
- Faculty of Forestry, University of Toronto, 33 Willcocks St., Toronto, ON M5S 3B3, Canada.
| | - Sean C Thomas
- Faculty of Forestry, University of Toronto, 33 Willcocks St., Toronto, ON M5S 3B3, Canada
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36
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Fang Z, Li DD, Jiao F, Yao J, Du HT. The Latitudinal Patterns of Leaf and Soil C:N:P Stoichiometry in the Loess Plateau of China. FRONTIERS IN PLANT SCIENCE 2019; 10:85. [PMID: 30949183 PMCID: PMC6436477 DOI: 10.3389/fpls.2019.00085] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/12/2018] [Accepted: 01/21/2019] [Indexed: 05/11/2023]
Abstract
Understanding the spatial patterns and the driving factors of plant leaf and soil stoichiometry are critical for improving the parameterization of future ecological models and to predict the responses of ecosystems to environmental changes. This study aimed to determine how the latitudinal patterns of leaf and soil C:N:P stoichiometry are affected by climate and vegetation types in the dryland ecosystems. The concentrations of leaf C, N, and P in herb community as well as soil nutrient concentrations along a 500-km-long latitudinal gradient in Northern Shaanxi of the Loess Plateau, were measured. The results showed that the soil C, N, P and C:N:P ratios at all three depths (0-10, 10-20, and 20-40 cm) showed significant latitudinal trends (except for soil C:N ratios) (P < 0.01). In general, the soil C, N and C:N:P ratios decreased exponentially while soil P increased first and then decreased with the latitude. The soil C, N, C:P, and N:P ratios at all three depths (0-10, 10-20 and 20-40 cm) were positively correlated with MAT and MAP (P < 0.05), while soil P and C:N ratios at all three depths were weakly correlated with MAT and MAP (P > 0.05). In addition, leaf C:N:P stoichiometry was significantly correlated with the latitude, MAT, and MAP (except for N:P ratios) (P < 0.01), such that, leaf C, C:N, and C:P ratios decreased as the latitude increased and MAT and MAP decreased, and leaf N, P concentrations increased as the latitude increased and MAT and MAP decreased, while leaf N:P ratios were weakly correlated with the latitude, MAT, and MAP (P > 0.05). Furthermore, the leaf C:N:P stoichiometry of herbaceous communities was related to the soil properties (except for soil P), and we found that the C:P ratios between the soil and leaves were strongly correlated. Compared with the global scale, the relatively high N:P ratios indicated that the vegetation growth of the herb community in the dryland of the Loess Plateau was more susceptible to P limitation.
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Affiliation(s)
- Zhao Fang
- State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Institute of Soil and Water Conservation, Northwest A&F University, Yangling, China
- Institute of Soil and Water Conservation, Chinese Academy of Sciences and Ministry of Water Resources, Yangling, China
| | - Dong-Dong Li
- Institute of Soil and Water Conservation, Chinese Academy of Sciences and Ministry of Water Resources, Yangling, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Feng Jiao
- State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Institute of Soil and Water Conservation, Northwest A&F University, Yangling, China
- Institute of Soil and Water Conservation, Chinese Academy of Sciences and Ministry of Water Resources, Yangling, China
| | - Jing Yao
- State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Institute of Soil and Water Conservation, Northwest A&F University, Yangling, China
| | - Hao-Tian Du
- State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Institute of Soil and Water Conservation, Northwest A&F University, Yangling, China
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37
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Sun H, Li Q, Lei Z, Zhang J, Song X, Song X. Ecological stoichiometry of nitrogen and phosphorus in Moso bamboo (Phyllostachys edulis) during the explosive growth period of new emergent shoots. JOURNAL OF PLANT RESEARCH 2019; 132:107-115. [PMID: 30386970 DOI: 10.1007/s10265-018-1070-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/18/2018] [Accepted: 10/04/2018] [Indexed: 06/08/2023]
Abstract
The ecological stoichiometry of Moso bamboo (Phyllostachys edulis) during the "explosive growth period" (EGP) remains unknown. In a previous study, we showed that the carbon (C) required by shoots during the EGP is derived from attached mature bamboos. In this study, we attempted to answer the following two questions: (1) Is the nitrogen (N) and phosphorus (P) required by shoots during the EGP also derived from attached mature bamboos? (2) Is the ecological stoichiometry of Moso bamboo during the EGP consistent with the growth rate hypothesis (GRH)? We simultaneously investigated changes in the N and P concentrations and N:P ratios of shoots (young bamboos) and attached mature bamboo over an 11-month period. During the EGP of Moso bamboo shoots (April 15-May 29), N and P concentrations in the shoots declined markedly because of the dilution of biomass and the transport to the germinated leaves and branches, and the N:P ratio remained at a low level. The significant correlations between relative height and biomass growth rates and the concentrations of N and P and N:P ratios during the EGP were consistent with the GRH. To meet the needs of "explosive growth," N was presumed to be transferred from the branches and rhizomes of attached mature bamboos to the shoots via underground rhizomes, while P likely came from mature bamboo leaves and branches. After the emergence of the branches and leaves of young bamboo: (1) the N concentration of the new leaves initially decreased and then increased, (2) P concentration exhibited a marked decrease, (3) and N:P ratio gradually increased. Our findings regarding the N:P ratio of shoots (young bamboos) during the EGP are consistent with the GRH, and we surmise that mature bamboo supplies N and P to attached young shoots via underground rhizomes.
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Affiliation(s)
- Huanfa Sun
- State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Hangzhou, 311300, China
| | - Quan Li
- State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Hangzhou, 311300, China
| | - Zhaofeng Lei
- State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Hangzhou, 311300, China
| | - Junbo Zhang
- State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Hangzhou, 311300, China
| | - Xuzhong Song
- Zhejiang Academy of Forestry, Hangzhou, 310023, China
| | - Xinzhang Song
- State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Hangzhou, 311300, China.
- Tianmu Mountain Forest Ecosystem Research Station, Hangzhou, 311300, China.
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38
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Niu D, Zhang C, Ma P, Fu H, Elser JJ. Responses of leaf C:N:P stoichiometry to water supply in the desert shrub Zygophyllum xanthoxylum. PLANT BIOLOGY (STUTTGART, GERMANY) 2019; 21:82-88. [PMID: 30102826 DOI: 10.1111/plb.12897] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/25/2018] [Accepted: 08/07/2018] [Indexed: 05/26/2023]
Abstract
Based on the elemental composition of major biochemical molecules associated with different biological functions, the 'growth rate hypothesis' proposed that organisms with a higher growth rate would be coupled to lower C:N, especially lower C:P and N:P ratios. However, the applicability of the growth rate hypothesis for plants is unclear, especially for shrubs growing under different water supply. We performed an experiment with eight soil moisture levels (soil water content: 4%, 6%, 8%, 13%, 18%, 23%, 26% and 28%) to evaluate the effects of water availability on leaf C:N:P stoichiometry in the shrub Zygophyllum xanthoxylum. We found that leaves grew slowly and favored accumulation of P over C and N under both high and low water supply. Thus, leaf C:P and N:P ratios were unimodally related to soil water content, in parallel with individual leaf area and mass. As a result, there were significant positive correlations between leaf C:P and N:P with leaf growth (u). Our result that slower-growing leaves had lower C:P and N:P ratios does not support the growth rate hypothesis, which predicted a negative association of N:P ratio with growth rate, but it is consistent with recent theoretical derivations of growth-stoichiometry relations in plants, where N:P ratio is predicted to increase with increasing growth for very low growth rates, suggesting leaf growth limitation by C and N rather than P for drought and water saturation.
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Affiliation(s)
- D Niu
- State Key Laboratory of Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, China
| | - C Zhang
- State Key Laboratory of Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, China
| | - P Ma
- State Key Laboratory of Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, China
| | - H Fu
- State Key Laboratory of Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, China
| | - J J Elser
- Flathead Lake Biological Station, University of Montana, Polson, MT, USA
- School of Life Sciences, Arizona State University, Tempe, AZ, USA
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39
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Tan Q, Li J, Chen Z, Wang G, Jia Y, Yao H, Han W. Minimizing the effect of precipitation in clarifying the responses of leaf N and P stoichiometry to temperature. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2018; 243:404-409. [PMID: 30212795 DOI: 10.1016/j.envpol.2018.09.010] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/25/2018] [Revised: 08/27/2018] [Accepted: 09/03/2018] [Indexed: 06/08/2023]
Abstract
How terrestrial ecosystem responds to global warming has received wide attention. Plant stoichiometry has the potential to reflect ecosystem responses to climate change, thus, investigating the variations in plant stoichiometry with temperature is important and necessary for revealing the responses of terrestrial ecosystem to global warming. Although many studies had explored the relationships between plant N, P stoichiometry and temperature, previous field investigations did not eliminate the interference of precipitation effect with these observed relationships. To minimize the effect of precipitation on leaf N, P stoichiometry, this investigation was conducted across a temperature gradient over broad geographical scale along the 400 mm isohyet, which extends about 6000 km in China. This study showed that leaf N did not vary, whereas leaf P decreased and leaf N:P ratio increased with increasing mean annual temperature (MAT). The responses of leaf N and P stoichiometry to MAT observed in this study might be general patterns; because they were almost ubiquitous across functional groups, genera and species examined, and moreover, they were independent of vegetation and soil type. It could be inferred from this study that global warming in future will have no effect on leaf N, but reduce leaf P and increase leaf N:P ratio. Stable leaf N and varied leaf P with changing MAT suggested that leaf N and P decoupled with changing temperature.
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Affiliation(s)
- Qiqi Tan
- Beijing Key Laboratory of Farmland Soil Pollution Prevention-control and Remediation, Department of Environmental Sciences and Engineering, College of Resources and Environmental Sciences, China Agricultural University, Beijing, 100193, China
| | - Jiazhu Li
- Institute of Desertification Studies, Chinese Academy of Forestry, Beijing, 100091, China
| | - Zixun Chen
- Beijing Key Laboratory of Farmland Soil Pollution Prevention-control and Remediation, Department of Environmental Sciences and Engineering, College of Resources and Environmental Sciences, China Agricultural University, Beijing, 100193, China
| | - Guoan Wang
- Beijing Key Laboratory of Farmland Soil Pollution Prevention-control and Remediation, Department of Environmental Sciences and Engineering, College of Resources and Environmental Sciences, China Agricultural University, Beijing, 100193, China.
| | - Yufu Jia
- Beijing Key Laboratory of Farmland Soil Pollution Prevention-control and Remediation, Department of Environmental Sciences and Engineering, College of Resources and Environmental Sciences, China Agricultural University, Beijing, 100193, China
| | - Hongyan Yao
- Department of Ecology and Ecological Engineering, College of Resources and Environmental Sciences, China Agricultural University, Beijing, 100193, China
| | - Wenxuan Han
- Department of Ecology and Ecological Engineering, College of Resources and Environmental Sciences, China Agricultural University, Beijing, 100193, China.
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40
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Chen X, Gong L, Liu Y. The ecological stoichiometry and interrelationship between litter and soil under seasonal snowfall in Tianshan Mountain. Ecosphere 2018. [DOI: 10.1002/ecs2.2520] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Affiliation(s)
- Xin Chen
- College of Resources and Environment Science Xinjiang University Urumqi 830046 China
- Ministry of Education Key Laboratory of Oasis Ecology Urumqi 830046 China
| | - Lu Gong
- College of Resources and Environment Science Xinjiang University Urumqi 830046 China
- Ministry of Education Key Laboratory of Oasis Ecology Urumqi 830046 China
| | - Yutong Liu
- College of Resources and Environment Science Xinjiang University Urumqi 830046 China
- Ministry of Education Key Laboratory of Oasis Ecology Urumqi 830046 China
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41
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Gong X, Xu Z, Lu W, Tian Y, Liu Y, Wang Z, Dai C, Zhao J, Li Z. Spatial Patterns of Leaf Carbon, Nitrogen, and Phosphorus Stoichiometry of Aquatic Macrophytes in the Arid Zone of Northwestern China. FRONTIERS IN PLANT SCIENCE 2018; 9:1398. [PMID: 30298083 PMCID: PMC6160588 DOI: 10.3389/fpls.2018.01398] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/16/2018] [Accepted: 09/03/2018] [Indexed: 05/09/2023]
Abstract
Ecological stoichiometry is a powerful indicator for understanding the adaptation of plants to environment. However, understanding of stoichiometric characteristics of leaf carbon (C%), nitrogen (N%), and phosphorus (P%) for aquatic macrophytes remains limited. In this study, 707 samples from 146 sites were collected to study the variations in leaf C%, N%, and P%, and tried to explore how different environmental conditions affect leaf C, N, and P stoichiometry. Results showed that the mean values of leaf C%, N%, P%, and N:P ratios were 39.95%, 2.12%, 0.14%, and 16.60% of macrophytes across the arid zone of northwestern China, respectively. And the mean values of leaf P% were lower than those from the Tibetan Plateau and eastern China, which maybe due to an adaptation strategy of the plants to the unique conditions in the arid zone in the long-term evolutionary process. The higher N:P ratios suggested that P was established as the limiting factor of the macrophytes communities in the arid zone of northwestern China. There were significant differences in leaf C%, N%, P%, and their ratios among different life forms. Our results also showed strong relationships between leaf N% and N:P ratios and longitude, leaf N%, P%, and N:P ratios and latitude, and leaf N% and P% and altitude, respectively. In addition, the results showed that pH can significantly influence leaf C%. Our results supported the temperature-plant physiology hypothesis owing to a negative relationship between leaf N% and P% of macrophytes and mean annual temperature in the arid zone of northwestern China. The different patterns of leaf stoichiometry between the arid zone of northwestern China and eastern China indicated that there were different physiological and ecological adaptability of macrophytes to environmental gradients in different climatic zones.
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Affiliation(s)
| | | | | | | | | | | | | | - Jinghui Zhao
- Hubei Collaborative Innovation Center for Green Transformation of Bio-Resources, Hubei Key Laboratory of Regional Development and Environmental Response, Faculty of Resources and Environment, College of Life Sciences, Hubei University, Wuhan, China
| | - Zhongqiang Li
- Hubei Collaborative Innovation Center for Green Transformation of Bio-Resources, Hubei Key Laboratory of Regional Development and Environmental Response, Faculty of Resources and Environment, College of Life Sciences, Hubei University, Wuhan, China
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42
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Luo W, Zuo X, Ma W, Xu C, Li A, Yu Q, Knapp AK, Tognetti R, Dijkstra FA, Li MH, Han G, Wang Z, Han X. Differential responses of canopy nutrients to experimental drought along a natural aridity gradient. Ecology 2018; 99:2230-2239. [PMID: 30157292 DOI: 10.1002/ecy.2444] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/23/2018] [Revised: 06/05/2018] [Accepted: 06/18/2018] [Indexed: 01/31/2023]
Abstract
The allocation and stoichiometry of plant nutrients in leaves reflect fundamental ecosystem processes, biotic interactions, and environmental drivers such as water availability. Climate change will lead to increases in drought severity and frequency, but how canopy nutrients will respond to drought, and how these responses may vary with community composition along aridity gradients is poorly understood. We experimentally addressed this issue by reducing precipitation amounts by 66% during two consecutive growing seasons at three sites located along a natural aridity gradient. This allowed us to assess drought effects on canopy nitrogen (N) and phosphorus (P) concentrations in arid and semiarid grasslands of northern China. Along the aridity gradient, canopy nutrient concentrations were positively related to aridity, with this pattern was driven primarily by species turnover (i.e., an increase in the relative biomass of N- and P-rich species with increasing aridity). In contrast, drought imposed experimentally increased N but decreased P concentrations in plant canopies. These changes were driven by the combined effects of species turnover and intraspecific variation in leaf nutrient concentrations. In addition, the sensitivity of canopy N and P concentrations to drought varied across the three sites. Canopy nutrient concentrations were less affected by drought at drier than wetter sites, because of the opposing effects of species turnover and intraspecific variation, as well as greater drought tolerance for nutrient-rich species. These contrasting effects of long-term aridity vs. short-term drought on canopy nutrient concentrations, as well as differing sensitivities among sites in the same grassland biome, highlight the challenge of predicting ecosystem responses to future climate change.
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Affiliation(s)
- Wentao Luo
- Erguna Forest-Steppe Ecotone Research Station, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, 110164, China
| | - Xiaoan Zuo
- Urat Desert-Grassland Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Science, Lanzhou, 730000, China
| | - Wang Ma
- Erguna Forest-Steppe Ecotone Research Station, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, 110164, China
| | - Chong Xu
- National Hulunber Grassland Ecosystem Observation and Research Station, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, 10008, China
| | - Ang Li
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
| | - Qiang Yu
- National Hulunber Grassland Ecosystem Observation and Research Station, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, 10008, China
| | - Alan K Knapp
- Graduate Degree Program in Ecology and Department of Biology, Colorado State University, Fort Collins, Colorado, 80523, USA
| | - Roberto Tognetti
- Dipartimento di Agraria, Ambiente e Alimenti, Università del Molise, Campobasso, 86090, Italy.,European Forest Institute (EFI) Project Centre on Mountain Forests (MOUNTFOR), San Michele all'Adige, 38010, Italy
| | - Feike A Dijkstra
- Sydney Institute of Agriculture, School of Life and Environmental Sciences, The University of Sydney, Sydney, New South Wales, 2006, Australia
| | - Mai-He Li
- Erguna Forest-Steppe Ecotone Research Station, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, 110164, China.,Forest Dynamics, Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Birmensdorf, CH-8903, Switzerland
| | - Guodong Han
- College of Ecology and Environmental Science, Inner Mongolia Agricultural University, Hohhot, 010018, China
| | - Zhengwen Wang
- Erguna Forest-Steppe Ecotone Research Station, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, 110164, China
| | - Xingguo Han
- Erguna Forest-Steppe Ecotone Research Station, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, 110164, China.,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
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Tian L, Zhao L, Wu X, Fang H, Zhao Y, Hu G, Yue G, Sheng Y, Wu J, Chen J, Wang Z, Li W, Zou D, Ping CL, Shang W, Zhao Y, Zhang G. Soil moisture and texture primarily control the soil nutrient stoichiometry across the Tibetan grassland. THE SCIENCE OF THE TOTAL ENVIRONMENT 2018; 622-623:192-202. [PMID: 29216462 DOI: 10.1016/j.scitotenv.2017.11.331] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/17/2017] [Revised: 11/28/2017] [Accepted: 11/28/2017] [Indexed: 06/07/2023]
Abstract
Soil nutrient stoichiometry and its environmental controllers play vital roles in understanding soil-plant interaction and nutrient cycling under a changing environment, while they remain poorly understood in alpine grassland due to lack of systematic field investigations. We examined the patterns and controls of soil nutrients stoichiometry for the top 10cm soils across the Tibetan ecosystems. Soil nutrient stoichiometry varied substantially among vegetation types. Alpine swamp meadow had larger topsoil C:N, C:P, N:P, and C:K ratios compared to the alpine meadow, alpine steppe, and alpine desert. In addition, the presence or absence of permafrost did not significantly impact soil nutrient stoichiometry in Tibetan grassland. Moreover, clay and silt contents explained approximately 32.5% of the total variation in soil C:N ratio. Climate, topography, soil properties, and vegetation combined to explain 10.3-13.2% for the stoichiometry of soil C:P, N:P, and C:K. Furthermore, soil C and N were weakly related to P and K in alpine grassland. These results indicated that the nutrient limitation in alpine ecosystem might shifts from N-limited to P-limited or K-limited due to the increase of N deposition and decrease of soil P and K contents under the changing climate conditions and weathering stages. Finally, we suggested that soil moisture and mud content could be good predictors of topsoil nutrient stoichiometry in Tibetan grassland.
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Affiliation(s)
- Liming Tian
- Cryosphere Research Station on the Qinghai-Tibetan Plateau, State Key Laboratory of Cryospheric Sciences, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China; University of Chinese Academy of Sciences, Beijing 100049, China; College of Earth Environmental Sciences, Lanzhou University, Lanzhou 730000, China
| | - Lin Zhao
- Cryosphere Research Station on the Qinghai-Tibetan Plateau, State Key Laboratory of Cryospheric Sciences, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China; University of Chinese Academy of Sciences, Beijing 100049, China.
| | - Xiaodong Wu
- Cryosphere Research Station on the Qinghai-Tibetan Plateau, State Key Laboratory of Cryospheric Sciences, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
| | - Hongbing Fang
- School of Environmental and Municipal Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China
| | - Yonghua Zhao
- Cryosphere Research Station on the Qinghai-Tibetan Plateau, State Key Laboratory of Cryospheric Sciences, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
| | - Guojie Hu
- Cryosphere Research Station on the Qinghai-Tibetan Plateau, State Key Laboratory of Cryospheric Sciences, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
| | - Guangyang Yue
- Cryosphere Research Station on the Qinghai-Tibetan Plateau, State Key Laboratory of Cryospheric Sciences, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
| | - Yu Sheng
- State Key Laboratory of Frozen Soil Engineering, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
| | - Jichun Wu
- State Key Laboratory of Frozen Soil Engineering, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
| | - Ji Chen
- State Key Laboratory of Frozen Soil Engineering, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
| | - Zhiwei Wang
- Guizhou Institute of Prataculture, Guizhou Academy of Agricultural Sciences, Guiyang 550006, China
| | - Wangping Li
- School of Civil Engineering, Lanzhou University of Technology, Lanzhou 730050, China
| | - Defu Zou
- Cryosphere Research Station on the Qinghai-Tibetan Plateau, State Key Laboratory of Cryospheric Sciences, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
| | - Chien-Lu Ping
- Agricultural and Forestry Experiment Station, Palmer Research Center, University of Alaska Fairbanks, Palmer, AK 99645, USA
| | - Wen Shang
- State Key Laboratory Breeding Base of Desertification and Aeolian Sand Disaster Combating, Gansu Desert Control Research Institute, Lanzhou 730070, China
| | - Yuguo Zhao
- State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China
| | - Ganlin Zhang
- State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China
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Wang A, Wang X, Tognetti R, Lei JP, Pan HL, Liu XL, Jiang Y, Wang XY, He P, Yu FH, Li MH. Elevation alters carbon and nutrient concentrations and stoichiometry in Quercus aquifolioides in southwestern China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2018; 622-623:1463-1475. [PMID: 29890611 DOI: 10.1016/j.scitotenv.2017.12.070] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/21/2017] [Revised: 12/06/2017] [Accepted: 12/06/2017] [Indexed: 05/26/2023]
Abstract
Elevation is a complex environmental factor altering temperature, light, moisture and soil nutrient availability, and thus may affect plant growth and physiology. Such effects of elevation may also depend on seasons. Along an elevational gradient of the Balang Mountain, southwestern China, we sampled soil and 2-year old leaves, 2-year old shoots, stem sapwood and fine roots (diameter<5mm) of Quercus aquifolioides at 2843, 2978, 3159, 3327, 3441 and 3589m a.s.l. in both summer and winter. In summer, the concentrations of tissue non-structural carbohydrates (NSC) did not decrease with increasing elevation, suggesting that the carbon supply is sufficient for plant growth at high altitude in the growing season. The concentration of NSC in fine roots decreased with elevation in winter, and the mean concentration of NSC across tissues in a whole plant showed no significant difference between the two sampling seasons, suggesting that the direction of NSC reallocation among plant tissues changed with season. During the growing season, NSC transferred from leaves to other tissues, and in winter NSC stored in roots transferred from roots to aboveground tissues. Available soil N increased with elevation, but total N concentrations in plant tissues did not show any clear elevational pattern. Both available soil P and total P concentrations in all plant tissues decreased with increasing elevation. Thus, tissue N:P ratio increased with elevation, suggesting that P may become a limiting element for plant growth at high elevation. The present study suggests that the upper limit of Q. aquifolioides on Balang Mountain may be co-determined by winter root NSC storage and P availability. Our results contribute to better understanding of the mechanisms for plants' upper limit formation.
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Affiliation(s)
- Ao Wang
- Zhejiang Provincial Key Laboratory of Plant Evolutionary Ecology and Conservation, Taizhou University, Taizhou 318000, China; College of Nature Conservation, Beijing Forestry University, Beijing 100083, China; Forest dynamics, Swiss Federal Research Institute WSL, Zuercherstrasse 111, CH-8903 Birmensdorf, Switzerland
| | - Xue Wang
- Zhejiang Provincial Key Laboratory of Plant Evolutionary Ecology and Conservation, Taizhou University, Taizhou 318000, China; Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110164, China; Forest dynamics, Swiss Federal Research Institute WSL, Zuercherstrasse 111, CH-8903 Birmensdorf, Switzerland
| | - Roberto Tognetti
- Dipartimento di Agraria, Ambiente e Alimenti, Università del Molise, 86090 Campobasso, Italy - European Forest Institute (EFI) Project Centre on Mountain Forests (MOUNTFOR), 38010 San Michele all'Adige, Italy
| | - Jing-Pin Lei
- Key Laboratory of Tree Breeding and Cultivation of State Forestry Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, China
| | - Hong-Li Pan
- Sichuan Academy of Forestry, Chengdu 610081, China
| | | | - Yong Jiang
- Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110164, China
| | - Xiao-Yu Wang
- Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110164, China; Forest dynamics, Swiss Federal Research Institute WSL, Zuercherstrasse 111, CH-8903 Birmensdorf, Switzerland
| | - Peng He
- Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110164, China; Forest dynamics, Swiss Federal Research Institute WSL, Zuercherstrasse 111, CH-8903 Birmensdorf, Switzerland
| | - Fei-Hai Yu
- Zhejiang Provincial Key Laboratory of Plant Evolutionary Ecology and Conservation, Taizhou University, Taizhou 318000, China.
| | - Mai-He Li
- Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110164, China; Forest dynamics, Swiss Federal Research Institute WSL, Zuercherstrasse 111, CH-8903 Birmensdorf, Switzerland.
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Hou L, Dong Z, Yang Y, Zhang D, Zhang S, Zhang S. Applying foliar stoichiometric traits of plants to determine fertilization for a mixed pine-oak stand in the Qinling Mountains, China. PeerJ 2018; 6:e4628. [PMID: 29666770 PMCID: PMC5900931 DOI: 10.7717/peerj.4628] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2018] [Accepted: 03/27/2018] [Indexed: 11/20/2022] Open
Abstract
Background The Chinese Natural Forest Protection program has been conducted nationwide and has achieved resounding success. However, timber importation has increased; therefore, producing more domestic timber is critical to meet the demand for raw materials. Fertilization is one of the most effective silviculture practices used to improve tree and stand growth. However, determining the appropriate type and amount of elements is necessary for effective fertilization of big timber in different forest types and environmental conditions. Stoichiometric theory provides the criteria to assess nutrient limitation in plants and offers important insight into fertilizer requirements of forested ecosystems. Methods Nitrogen (N) and phosphorus (P) concentrations in plants' leaves, mineral soil, and litter were investigated in a mixed pine-oak stand. Results The big timber rate for Pinus tabuliformis, Pinus armandii and Quercus aliena var. acutesserata is 57.71%, 22.79% and 2.78% of current existing individuals respectively. Foliar N and P concentrations were 9.08 and 0.88 mg g-1, respectively. The N:P in the plants was 10.30. N concentration and N:P in mineral soil decreased from 0-30 cm soil depth. For litter, N and P concentrations were 16.89 and 1.51 mg g-1, respectively, and N:P was 11.51. Concentrations of N and P in mineral soil and litter did not significantly affect plants'leaf concentrations. Similar result was also obtained between litter and mineral soil concentrations. Nitrogen storage in mineral soil was significantly correlated with foliar N:P in the plants. Discussion Foliar N:P of dominant tree species and the plants, and foliar N concentration in Pinus tabuliformis and P. armandii, and foliar P concentration of P. armandii in the mixed pine-oak stand was lower than that in Chinese and other terrestrial plants. Foliar nutrients in the plants were not affected by soil nutrients. According to the criteria of nutrient limitation for plants, growth of dominant tree species was N limited; therefore, 1.49 t ha-1 pure N should be added to forest land to as fertilizer.
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Affiliation(s)
- Lin Hou
- College of Forestry, Northwest A&F University, Yangling, Shaanxi, China
| | - Zhenjie Dong
- College of Forestry, Northwest A&F University, Yangling, Shaanxi, China
| | - Yuanyuan Yang
- College of Forestry, Northwest A&F University, Yangling, Shaanxi, China
| | - Donghong Zhang
- College of Forestry, Northwest A&F University, Yangling, Shaanxi, China
| | - Shengli Zhang
- College of Natural Resources and Environment, Northwest A&F University, Yangling, Shaanxi, China
| | - Shuoxin Zhang
- College of Forestry, Northwest A&F University, Yangling, Shaanxi, China
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46
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Zhang H, Guo W, Yu M, Wang GG, Wu T. Latitudinal patterns of leaf N, P stoichiometry and nutrient resorption of Metasequoia glyptostroboides along the eastern coastline of China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2018; 618:1-6. [PMID: 29126023 DOI: 10.1016/j.scitotenv.2017.11.030] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/02/2017] [Revised: 11/02/2017] [Accepted: 11/03/2017] [Indexed: 05/26/2023]
Abstract
Latitudinal patterns of leaf stoichiometry and nutrient resorption were not consistent among published studies, likely due to confounding effects from taxonomy (e.g., plant distribution and community composition), and environment, which is also influenced by altitude and longitude. Thus, the latitudinal patterns and environmental mechanism could be best revealed by testing a given species along a latitude gradient with similar altitude and longitude. We determined nitrogen (N) and phosphorus (P) concentrations of green (leaf) and senesced leaves (litter) from eight Metasequoia glyptostroboides forests along the eastern coastline of China, with similar altitude and longitude. Leaf N, P concentrations increased along latitude, mainly driven by mean annual temperature (MAT), mean annual precipitation (MAP), annual evaporation (AE), aridity index (AI), and annual total solar radiation (ATSR); While leaf N:P ratio was stable with no latitudinal pattern. Nitrogen resorption efficiency (NRE) increased along latitude, and was also mainly influenced by MAT, MAP, AE, and AI. Phosphorus resorption efficiency (PRE) first increased and then decreased with latitude, which was impacted by soil available P. These results indicated that only climate (such as heat, water, and light) controlled the shift in leaf stoichiometry and NRE, while soil nutrient was likely responsible for the shift in PRE along eastern China. Our findings also suggested that leaf N, P stoichiometry and NRE displayed similar latitudinal patterns at regional scale when studied for a given species (this study) or multi-species (previous studies).
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Affiliation(s)
- Hui Zhang
- East China Coastal Forest Ecosystem Long-term Research Station, Research Institute of Subtropical Forestry, Chinese Academy of Forestry, Hangzhou, Zhejiang 311400, PR China
| | - Weihong Guo
- East China Coastal Forest Ecosystem Long-term Research Station, Research Institute of Subtropical Forestry, Chinese Academy of Forestry, Hangzhou, Zhejiang 311400, PR China
| | - Mukui Yu
- East China Coastal Forest Ecosystem Long-term Research Station, Research Institute of Subtropical Forestry, Chinese Academy of Forestry, Hangzhou, Zhejiang 311400, PR China
| | - G Geoff Wang
- Department of Forestry and Environmental Conservation, Clemson University, Clemson, SC 29634-0317, USA
| | - Tonggui Wu
- East China Coastal Forest Ecosystem Long-term Research Station, Research Institute of Subtropical Forestry, Chinese Academy of Forestry, Hangzhou, Zhejiang 311400, PR China.
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47
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Xie H, Yu M, Cheng X. Leaf non-structural carbohydrate allocation and C:N:P stoichiometry in response to light acclimation in seedlings of two subtropical shade-tolerant tree species. PLANT PHYSIOLOGY AND BIOCHEMISTRY : PPB 2018; 124:146-154. [PMID: 29366973 DOI: 10.1016/j.plaphy.2018.01.013] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/11/2017] [Revised: 01/15/2018] [Accepted: 01/16/2018] [Indexed: 05/25/2023]
Abstract
UNLABELLED Light availability greatly affects plant growth and development. In shaded environments, plants must respond to reduced light intensity to ensure a regular rate of photosynthesis to maintain the dynamic balance of nutrients, such as leaf non-structural carbohydrates (NSCs), carbon (C), nitrogen (N) and phosphorus (P). To improve our understanding of the nutrient utilization strategies of understory shade-tolerant plants, we compared the variations in leaf NSCs, C, N and P in response to heterogeneous controlled light conditions between two subtropical evergreen broadleaf shade-tolerant species, Elaeocarpus sylvestris (E. sylvestris) and Illicium henryi (I. henryi). Light intensity treatments were applied at five levels (100%, 52%, 33%, 15% and 6% full sunlight) for 30 weeks to identify the effects of reduced light intensity on leaf NSC allocation patterns and leaf C:N:P stoichiometry characteristics. We found that leaf soluble sugar, starch and NSC concentrations in E. sylvestris showed decreasing trends with reduced light intensity, whereas I. henryi presented slightly increasing trends from 100% to 15% full sunlight and then significant decreases at extremely low light intensity (6% full sunlight). The soluble sugar/starch ratio of E. sylvestris decreased with decreasing light intensity, whereas that of I. henryi remained stable. Moreover, both species exhibited increasing trends in leaf N and P concentrations but limited leaf N:P and C:P ratio fluctuations with decreasing light intensity, revealing their adaptive strategies for poor light environments and their growth strategies under ideal light environments. There were highly significant correlations between leaf NSC variables and C:N:P stoichiometric variables in both species, revealing a trade-off in photosynthesis production between leaf NSC and carbon allocation. Thus, shade-tolerant plants readjusted their allocation of leaf NSCs, C, N and P in response to light acclimation. Redundancy analysis showed that leaf morphological features of both E. sylvestris and I. henryi affected their corresponding leaf nutrient traits. These results improve our understanding of the dynamic balance between leaf NSCs and leaf C, N and P components in the nutritional metabolism of shade-tolerant plants. KEY MESSAGE Two species of understory shade-tolerant plants responded differently to varying light intensities in terms of leaf non-structural carbohydrate allocation and the utilization of carbon, nitrogen and phosphorus to balance nutritional metabolism and adapt to environmental stress.
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Affiliation(s)
- Hongtao Xie
- National Research Station of Eastern China Coastal Forest Ecosystem, Research Institute of Subtropical Forestry, Chinese Academy of Forestry, Hangzhou, 311400, China.
| | - Mukui Yu
- National Research Station of Eastern China Coastal Forest Ecosystem, Research Institute of Subtropical Forestry, Chinese Academy of Forestry, Hangzhou, 311400, China
| | - Xiangrong Cheng
- National Research Station of Eastern China Coastal Forest Ecosystem, Research Institute of Subtropical Forestry, Chinese Academy of Forestry, Hangzhou, 311400, China.
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48
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Zeng Y, Fang X, Xiang W, Deng X, Peng C. Stoichiometric and nutrient resorption characteristics of dominant tree species in subtropical Chinese forests. Ecol Evol 2018; 7:11033-11043. [PMID: 29299279 PMCID: PMC5743644 DOI: 10.1002/ece3.3527] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2017] [Revised: 09/19/2017] [Accepted: 09/21/2017] [Indexed: 11/09/2022] Open
Abstract
This study investigated seasonal patterns in stoichiometric ratios, nutrient resorption characteristics, and nutrient use strategies of dominant tree species at three successional stages in subtropical China, which have not been fully understood. Fresh leaf and leaf litterfall samples were collected in growing and nongrowing seasons for determining the concentrations of carbon (C), nitrogen (N), and phosphorus (P). Then, stoichiometric ratios (i.e., C:N, C:P, N:P, and C:N:P) and resorption parameters were calculated. Our results found that there was no consistent variation in leaf C:N and C:P ratios among different species. However, leaf N:P ratios in late-successional species became significantly higher, indicating that P limitation increases during successional development. Due to the P limitation in this study area, P resorption efficiency and proficiency were higher than corresponding N resorption parameters. Dominant tree species at early-successional stage adopted "conservative consumption" nutrient use strategy, whereas the species at late-successional stage inclined to adopt "resource spending" strategy.
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Affiliation(s)
- Yelin Zeng
- Faculty of Life Science and Technology Central South University of Forestry and Technology Changsha China.,Huitong National Field Station for Scientific Observation and Research of Chinese Fir Plantation Ecosystem in Hunan Province Huitong China
| | - Xi Fang
- Faculty of Life Science and Technology Central South University of Forestry and Technology Changsha China.,Huitong National Field Station for Scientific Observation and Research of Chinese Fir Plantation Ecosystem in Hunan Province Huitong China
| | - Wenhua Xiang
- Faculty of Life Science and Technology Central South University of Forestry and Technology Changsha China.,Huitong National Field Station for Scientific Observation and Research of Chinese Fir Plantation Ecosystem in Hunan Province Huitong China
| | - Xiangwen Deng
- Faculty of Life Science and Technology Central South University of Forestry and Technology Changsha China.,Huitong National Field Station for Scientific Observation and Research of Chinese Fir Plantation Ecosystem in Hunan Province Huitong China
| | - Changhui Peng
- Huitong National Field Station for Scientific Observation and Research of Chinese Fir Plantation Ecosystem in Hunan Province Huitong China.,Department of Biological Sciences Institute of Environment Sciences University of Quebec at Montreal Montreal QC Canada
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49
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Zhang G, Zhang P, Peng S, Chen Y, Cao Y. The coupling of leaf, litter, and soil nutrients in warm temperate forests in northwestern China. Sci Rep 2017; 7:11754. [PMID: 28924160 PMCID: PMC5603570 DOI: 10.1038/s41598-017-12199-5] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2017] [Accepted: 09/05/2017] [Indexed: 11/09/2022] Open
Abstract
The nutrient ecological stoichiometry of plants and soil is important for the growth and dynamics of species, but the stoichiometric relationships among leaf, litter, and soil remain poorly understood. We analyzed the carbon (C), nitrogen (N), and phosphorus (P) stoichiometry of the leaves, litter, and soil for 31 species at 140 sites in warm temperate forests in northwestern China to document the patterns of nutrient traits and their relationships with climatic factors. The average concentrations of C, N, and P in the combined forests were 462.97, 18.04, and 1.32 g kg-1 for leaves, 365.12, 12.34, and 0.87 g kg-1 for litter, and 15.72, 1.29, and 0.54 g kg-1 for soil, respectively. The concentrations differed significantly among the leaves, litter, and soil. Leaf and soil nutrients were not significantly correlated, whereas leaf and litter nutrients and litter and soil nutrients were significantly correlated, indicating that litter provided a link between leaves and soil and demonstrating the nutrient associations among leaves, litter, and soil. Soil nutrients were strongly correlated with climatic factors, and precipitation had a larger impact than temperature on the plants and soil. This study will help to predict the growth and dynamics of species under environmental changes.
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Affiliation(s)
- Guangqi Zhang
- College of Forestry, Northwest A&F University, Yangling, 71210, Shaanxi, China
| | - Ping Zhang
- College of Forestry, Northwest A&F University, Yangling, 71210, Shaanxi, China
| | - Shouzhang Peng
- State Key Laboratory of Soil Erosion and Dry land Farming on Loess Plateau, Northwest A&F University, Yangling, 712100, Shaanxi, China
- Institute of Soil and Water Conservation, Chinese Academy of Sciences and Ministry of Water Resources, Yangling, 712100, Shaanxi, China
| | - Yunming Chen
- State Key Laboratory of Soil Erosion and Dry land Farming on Loess Plateau, Northwest A&F University, Yangling, 712100, Shaanxi, China
- Institute of Soil and Water Conservation, Chinese Academy of Sciences and Ministry of Water Resources, Yangling, 712100, Shaanxi, China
| | - Yang Cao
- State Key Laboratory of Soil Erosion and Dry land Farming on Loess Plateau, Northwest A&F University, Yangling, 712100, Shaanxi, China.
- Institute of Soil and Water Conservation, Chinese Academy of Sciences and Ministry of Water Resources, Yangling, 712100, Shaanxi, China.
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50
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Liu M, Wang Z, Li S, Lü X, Wang X, Han X. Changes in specific leaf area of dominant plants in temperate grasslands along a 2500-km transect in northern China. Sci Rep 2017; 7:10780. [PMID: 28883421 PMCID: PMC5589743 DOI: 10.1038/s41598-017-11133-z] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2017] [Accepted: 08/18/2017] [Indexed: 11/09/2022] Open
Abstract
Specific leaf area (SLA) is a key trait with great ecological importance as it correlates with whole plant growth. We aimed to investigate how SLA varies with environmental factors at a geographical scale in temperate grasslands. We measured SLA and mass-based leaf nitrogen content (N mass) of four dominant plant genera along a 2500 km climatic gradient in northern China grassland, and correlated SLA with mean annual precipitation (MAP), mean annual temperature (MAT), soil nitrogen concentration (soil N), soil C:N and N mass. Climate accounts much more for SLA variation than soil variables for Stipa, Cleistogens and Carex. SLA of Stipa is negatively associated with MAP and soil N, while positively with MAT, but Cleistogenes and Carex show the opposite. For Leymus, soil N promotes SLA and accounts for largest fraction of SLA variation. Overall, SLA was positively correlated with N mass in semi-arid regions, but not significant in arid regions. The genus-dependent responses of SLA may have consequences on ecosystem functioning, thus may help to predict the community composition and ecosystem functions under future climate scenario. The finding of SLA-N mass trade-off and its susceptibility to precipitation will advance our understanding on plant resource use strategies.
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Affiliation(s)
- Mengzhou Liu
- Erguna Forest-Steppe Ecotone Research Station, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, 110016, China.,University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Zhengwen Wang
- Erguna Forest-Steppe Ecotone Research Station, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, 110016, China. .,Key Laboratory for Vegetation Ecology, Ministry of Education, Northeast Normal University, Changchun, 130024, China.
| | - Shanshan Li
- Erguna Forest-Steppe Ecotone Research Station, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, 110016, China.,University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Xiaotao Lü
- Erguna Forest-Steppe Ecotone Research Station, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, 110016, China
| | - Xiaobo Wang
- Erguna Forest-Steppe Ecotone Research Station, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, 110016, China
| | - Xingguo Han
- Erguna Forest-Steppe Ecotone Research Station, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, 110016, China.,State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
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