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Ding Y, Pan B, Han X, Guo S, Feng Z, Sun H, Wang X. Habitat selection drives diatom community assembly and network complexity in sediment-laden riverine environments. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 934:172983. [PMID: 38744389 DOI: 10.1016/j.scitotenv.2024.172983] [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: 01/10/2024] [Revised: 04/15/2024] [Accepted: 05/02/2024] [Indexed: 05/16/2024]
Abstract
Microbial communities assemble stochastically and deterministically, but how different assembly processes shape diatom community structure across riverine habitats is unclear, especially in sediment-laden environments. In this study, we deciphered the mechanisms of riverine diatom community assembly in the water column and riverbed substrate with varying sediment concentrations. Water and sediment samples were collected from 44 sampling sites along the Yellow River mainstream during two seasons. Diatom communities were characterized based on high-throughput sequencing of the 18S ribosomal RNA genes coupled with multivariate statistical analyses. A total of 198 diatom species were taxonomically assigned, including 182 free-living and particle-attached species and 184 surface-sediment species. Planktonic communities were structurally different from benthic communities, with Cyclotella being dominant mainly in the middle and lower reaches of the river with higher sediment concentrations. Both stochastic and deterministic processes affected diatom community assembly in different habitats. Species dispersal was more important in the water than in the substrate, and this process was strengthened by increased sediment concentration across habitats. Diatom communities exhibited lower network complexity and enhanced antagonistic or competitive interactions between species in response to higher sediment concentrations compared with lower sediment concentrations mainly in the source region of the river. Differences in the species composition and community diversity of planktonic diatoms were closely correlated with the proportion of bare land area, nitrogen nutrients, precipitation, and sediment concentration. In particular, particle-attached diatoms responded sensitively to environmental factors. These findings provide strong evidence for sediment-mediated assembly and interactions of riverine diatom communities.
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Affiliation(s)
- Yitong Ding
- State Key Laboratory of Eco-hydraulic in Northwest Arid Region, Xi'an University of Technology, Xi'an 710048, China
| | - Baozhu Pan
- State Key Laboratory of Eco-hydraulic in Northwest Arid Region, Xi'an University of Technology, Xi'an 710048, China.
| | - Xu Han
- State Key Laboratory of Eco-hydraulic in Northwest Arid Region, Xi'an University of Technology, Xi'an 710048, China
| | - Shansong Guo
- State Key Laboratory of Eco-hydraulic in Northwest Arid Region, Xi'an University of Technology, Xi'an 710048, China
| | - Zhiyuan Feng
- State Key Laboratory of Eco-hydraulic in Northwest Arid Region, Xi'an University of Technology, Xi'an 710048, China
| | - He Sun
- State Key Laboratory of Eco-hydraulic in Northwest Arid Region, Xi'an University of Technology, Xi'an 710048, China
| | - Xinyuan Wang
- State Key Laboratory of Eco-hydraulic in Northwest Arid Region, Xi'an University of Technology, Xi'an 710048, China
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Bai J, Long C, Quan X, Liao C, Zhai D, Bao Y, Men X, Zhang D, Cheng X. Reverse diversity-biomass patterns in grasslands are constrained by climates and stoichiometry along an elevational gradient. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 917:170416. [PMID: 38281651 DOI: 10.1016/j.scitotenv.2024.170416] [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: 11/02/2023] [Revised: 01/08/2024] [Accepted: 01/22/2024] [Indexed: 01/30/2024]
Abstract
Diversity and biomass play an important role in grassland ecosystem functions. However, diversity and biomass are variable because of their high sensitivity to environmental change in natural ecosystems. How plant diversity, biomass, and driving factors (climates, soils, and plants) in grasslands vary with environmental change remains unclear. We conducted intensive fieldwork (≈1000 km transect) on plant diversity, biomass, and associated drivers (i.e., climates, soils, and plants) to identify the patterns of diversity and biomass along an elevational gradient (50-4000 m) in grasslands of southwest China. Grassland biomass decreased significantly, but grassland diversity increased with increasing elevation. Consequently, a significant reverse pattern between biomass and diversity was detected along an elevational gradient. We also observed that the reverse pattern was primarily driven by the shifts in climates (i.e., temperature and precipitation), leaf stoichiometric traits (i.e., leaf N:P ratio), and soil properties (i.e., soil N content) along the elevational gradient. Our results contradicted previous studies on the positive diversity-biomass relationships, suggesting that previous studies might weaken the effects of climatic factors and plant stoichiometry under environmental change. These findings revealed that the reverse pattern between diversity and biomass in grasslands was shaped by the combined effects (climates, plants, soils) in grasslands, thus providing new insights into the debates and predictions on the diversity and biomass in grasslands under climate change.
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Affiliation(s)
- Jiankun Bai
- Key Laboratory of Soil Ecology and Health in Universities of Yunnan Province, School of Ecology and Environmental Sciences, Yunnan University, Kunming, PR China
| | - Chunyan Long
- Key Laboratory of Soil Ecology and Health in Universities of Yunnan Province, School of Ecology and Environmental Sciences, Yunnan University, Kunming, PR China
| | - Xin Quan
- Key Laboratory of Soil Ecology and Health in Universities of Yunnan Province, School of Ecology and Environmental Sciences, Yunnan University, Kunming, PR China
| | - Chang Liao
- Key Laboratory of Soil Ecology and Health in Universities of Yunnan Province, School of Ecology and Environmental Sciences, Yunnan University, Kunming, PR China
| | - Deping Zhai
- Key Laboratory of Soil Ecology and Health in Universities of Yunnan Province, School of Ecology and Environmental Sciences, Yunnan University, Kunming, PR China
| | - Yong Bao
- Key Laboratory of Soil Ecology and Health in Universities of Yunnan Province, School of Ecology and Environmental Sciences, Yunnan University, Kunming, PR China
| | - Xiuxian Men
- Key Laboratory of Soil Ecology and Health in Universities of Yunnan Province, School of Ecology and Environmental Sciences, Yunnan University, Kunming, PR China
| | - Dandan Zhang
- Key Laboratory of Soil Ecology and Health in Universities of Yunnan Province, School of Ecology and Environmental Sciences, Yunnan University, Kunming, PR China
| | - Xiaoli Cheng
- Key Laboratory of Soil Ecology and Health in Universities of Yunnan Province, School of Ecology and Environmental Sciences, Yunnan University, Kunming, PR China; Ministry of Education Key Laboratory for Transboundary Eco-security of Southwest China, Yunnan University, Kunming, PR China; Yunnan Key Laboratory of Soil Erosion Prevention and Green Development, Yunnan University, Kunming, PR China.
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Xu S, Wang J, Sayer EJ, Lam SK, Lai DYF. Precipitation change affects forest soil carbon inputs and pools: A global meta-analysis. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 908:168171. [PMID: 37923258 DOI: 10.1016/j.scitotenv.2023.168171] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Revised: 10/09/2023] [Accepted: 10/26/2023] [Indexed: 11/07/2023]
Abstract
The impacts of precipitation change on forest carbon (C) storage will have global consequences, as forests play a major role in sequestering anthropogenic CO2. Although forest soils are one of the largest terrestrial C pools, there is great uncertainty around the response of forest soil organic carbon (SOC) to precipitation change, which limits our ability to predict future forest C storage. To address this, we conducted a meta-analysis to determine the effect of drought and irrigation experiments on SOC pools, plant C inputs and the soil environment based on 161 studies across 139 forest sites worldwide. Overall, forest SOC content was not affected by precipitation change, but both drought and irrigation altered plant C inputs and soil properties associated with SOC formation and storage. Drought may enhance SOC stability by altering soil aggregate fractions, but the effect of irrigation on SOC fractions remains unexplored. The apparent insensitivity of SOC to precipitation change can be explained by the short duration of most experiments and by biome-specific responses of C inputs and pools to drought or irrigation. Importantly, we demonstrate that SOC content is more likely to decline under irrigation at drier temperate sites, but that dry forests are currently underrepresented across experimental studies. Thus, our meta-analysis advances research into the impacts of precipitation change in forests by revealing important differences among forest biomes, which are likely linked to plant adaptation to extant conditions. We further demonstrate important knowledge gaps around how precipitation change will affect SOC stability, as too few studies currently consider distinct soil C pools. To accurately predict future SOC storage in forests, there is an urgent need for coordinated studies of different soil C pools and fractions across existing sites, as well as new experiments in underrepresented forest types.
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Affiliation(s)
- Shan Xu
- Department of Geography and Resource Management, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China; Guangdong Provincial Key Laboratory of Soil and Groundwater Pollution Control, School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China
| | - Junjian Wang
- Guangdong Provincial Key Laboratory of Soil and Groundwater Pollution Control, School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China
| | - Emma J Sayer
- Lancaster Environment Centre, Lancaster University, Lancaster, LA1 4YQ, United Kingdom; Smithsonian Tropical Research Institute, P.O. Box 0843-03092, Balboa, Ancon, Panama, Republic of Panama
| | - Shu Kee Lam
- School of Agriculture and Food, University of Melbourne, Melbourne, Australia
| | - Derrick Y F Lai
- Department of Geography and Resource Management, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China; Centre for Environmental Policy and Resource Management, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China.
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Shen Y, Liu Y, Du Y, Wang X, Guan J, Jia X, Xu F, Song Z, Gao H, Zhang B, Guo P. Transfer of antibiotic resistance genes from soil to wheat: Role of host bacteria, impact on seed-derived bacteria, and affecting factors. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 905:167279. [PMID: 37741386 DOI: 10.1016/j.scitotenv.2023.167279] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Revised: 09/17/2023] [Accepted: 09/20/2023] [Indexed: 09/25/2023]
Abstract
The transfer of antibiotic resistance genes (ARGs) from soils to plants is poorly understood, especially the role of host bacteria in soils and its impact on seed-derived bacteria. Wheat (Triticum aestivum L.) was thus used to fill the gap by conducting pot experiments, with target ARGs and bacterial community analyzed. Results showed that the relative abundances of target ARGs gradually decreased during transfer of ARGs from the rhizosphere soil to root and shoot. Host bacteria in the rhizosphere soil were the primary source of ARGs in wheat. The 38, 21, and 19 potential host bacterial genera of target ARGs and intI1 in the rhizosphere soil, root, and shoot were identified, respectively, and they mainly belonged to phylum Proteobacteria. The abundance of ARGs carried by pathogenic Corynebacterium was reduced in sequence. During transfer of ARGs from the rhizosphere soil to root and shoot, some seed-derived bacteria and pathogenic Acinetobacter obtained ARGs through horizontal gene transfer and became potential host bacteria. Furthermore, total organic carbon, available nitrogen of the rhizosphere soil, water use efficiency, vapor pressure deficit, and superoxide dismutase of plants were identified as the key factors affecting potential host bacteria transfer in soils to wheat. This work provides important insights into transfer of ARGs and deepens our understanding of potential health risks of ARGs from soils to plants.
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Affiliation(s)
- Yanping Shen
- Key Laboratory of Groundwater Resources and Environment Ministry of Education, College of New Energy and Environment, Jilin University, Changchun 130012, PR China; Jilin Provincial Key Laboratory of Water Resources and Environment, Jilin University, Changchun 130012, PR China
| | - Yibo Liu
- Key Laboratory of Groundwater Resources and Environment Ministry of Education, College of New Energy and Environment, Jilin University, Changchun 130012, PR China; Jilin Provincial Key Laboratory of Water Resources and Environment, Jilin University, Changchun 130012, PR China
| | - Yutong Du
- Key Laboratory of Groundwater Resources and Environment Ministry of Education, College of New Energy and Environment, Jilin University, Changchun 130012, PR China; Jilin Provincial Key Laboratory of Water Resources and Environment, Jilin University, Changchun 130012, PR China
| | - Xu Wang
- Key Laboratory of Groundwater Resources and Environment Ministry of Education, College of New Energy and Environment, Jilin University, Changchun 130012, PR China; Jilin Provincial Key Laboratory of Water Resources and Environment, Jilin University, Changchun 130012, PR China
| | - Jiunian Guan
- School of Environment, Northeast Normal University, Changchun 130117, PR China
| | - Xiaohui Jia
- Key Laboratory of Groundwater Resources and Environment Ministry of Education, College of New Energy and Environment, Jilin University, Changchun 130012, PR China; Jilin Provincial Key Laboratory of Water Resources and Environment, Jilin University, Changchun 130012, PR China
| | - Fukai Xu
- Key Laboratory of Groundwater Resources and Environment Ministry of Education, College of New Energy and Environment, Jilin University, Changchun 130012, PR China; Jilin Provincial Key Laboratory of Water Resources and Environment, Jilin University, Changchun 130012, PR China
| | - Ziwei Song
- Key Laboratory of Groundwater Resources and Environment Ministry of Education, College of New Energy and Environment, Jilin University, Changchun 130012, PR China; Jilin Provincial Key Laboratory of Water Resources and Environment, Jilin University, Changchun 130012, PR China
| | - Hongjie Gao
- Chinese Research Academy of Environmental Science, Beijing 100012, PR China.
| | - Baiyu Zhang
- Department of Civil Engineering, Faculty of Engineering and Applied Science, Memorial University, St. John's, NL A1B 3X5, Canada.
| | - Ping Guo
- Key Laboratory of Groundwater Resources and Environment Ministry of Education, College of New Energy and Environment, Jilin University, Changchun 130012, PR China; Jilin Provincial Key Laboratory of Water Resources and Environment, Jilin University, Changchun 130012, PR China.
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Yang C, Li Z, Wang S, Ran F, Nie X, Liu Y, Xiao T. Anthropogenic activities control the source dynamics of sediment organic carbon in the lower reach of an inland river. WATER RESEARCH 2023; 233:119779. [PMID: 36848854 DOI: 10.1016/j.watres.2023.119779] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/15/2022] [Revised: 02/12/2023] [Accepted: 02/20/2023] [Indexed: 06/18/2023]
Abstract
Sediment organic carbon (SeOC) sources with rich information can be used as a "historical archive" reflecting anthropogenic activities in the catchment, which is crucial to carbon management in the watershed. Anthropogenic activities and hydrodynamic conditions significantly influence the river environment and are reflected by the SeOC sources. However, the key drivers of the SeOC source dynamics are ambiguous, which restricts the behavior of regulating the carbon output of the basin. In this study, sediment cores from the lower reach of an inland river were selected to quantify the SeOC sources based on a centennial scale. A partial least squares path model was used to establish the relationship between anthropogenic activities and hydrological conditions with the SeOC sources. Findings showed that the exogenous advantage of SeOC composition was gradually significant (early period: 54.3%; middle period: 81%; later period: 82%) from the bottom layer to the surface layer of the sediments in the lower reach of the Xiangjiang River. Factors related to anthropogenic activities controlled the external input of SeOC (δ13C: r∂ = -0.94, P < 0.001; δ15N: r∂ = -0.66, P < 0.001). Different anthropogenic activities performed different effects. Land use change aggravated soil erosion and brought more terrestrial organic carbon to the downstream. The variation of grassland carbon input was the most obvious (from 33.6% to 18.4%). In contrast, the reservoir construction intercepted upstream sediments, which might have been the main reason for the slow growth of terrestrial organic carbon input in the downstream in the later period. This study provides a specific grafting for the SeOC records - source changes - anthropogenic activities in the lower reach of the river, which provides scientific basis for watershed carbon management.
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Affiliation(s)
- Changrong Yang
- School of Geographical Sciences, Hunan Normal University, Changsha 410081, China
| | - Zhongwu Li
- School of Geographical Sciences, Hunan Normal University, Changsha 410081, China; College of Environmental Science and Engineering, Hunan University, Changsha 410082, China.
| | - Shilan Wang
- School of Geographical Sciences, Hunan Normal University, Changsha 410081, China
| | - Fengwei Ran
- School of Geographical Sciences, Hunan Normal University, Changsha 410081, China
| | - Xiaodong Nie
- School of Geographical Sciences, Hunan Normal University, Changsha 410081, China.
| | - Yaojun Liu
- School of Geographical Sciences, Hunan Normal University, Changsha 410081, China
| | - Tao Xiao
- School of Geographical Sciences, Hunan Normal University, Changsha 410081, China
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Wang C, Fu B, Lü Y, Liu Y. Socioeconomic development alters the effects of 'green' and 'grain' on evapotranspiration in China's loess plateau after the grain for green programme. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2023; 328:117013. [PMID: 36527803 DOI: 10.1016/j.jenvman.2022.117013] [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: 05/17/2022] [Revised: 11/01/2022] [Accepted: 12/08/2022] [Indexed: 06/17/2023]
Abstract
Revegetation has been conducted extensively to restore degraded ecosystems, thereby accelerating water consumption and affecting water availability for other human demands. Examining evapotranspiration (ET) can guide regional management to promote revegetation sustainability and address the contradiction in water demand. We characterised ET variation on China's Loess Plateau from 2003 to 2013, after the 'Grain for Green' revegetation programme implementation. Annual ET significantly increased, with an average trend of 4.87 mm yr-2; the highest increasing trends were in the southern part of the plateau. Combining zero-order correlation and partial correlation, we found that climate and crop production were the key factors influencing ET, while revegetation also had significant effects. We also explored how multiple influencing factors affected ET through partial least-squares path modelling. Revegetation and socioeconomic development were found to impose indirect effects on ET by promoting rural household income and altering agricultural production. The specified linkages and regulating pathways among revegetation and human needs including socioeconomic development and agricultural production should be considered in solving the conflicts between the ecosystem and human water use in water-limited regions.
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Affiliation(s)
- Cong Wang
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, P.O. Box 2871, Beijing 100085, China
| | - Bojie Fu
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, P.O. Box 2871, Beijing 100085, China; State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, No. 19, XinJieKouWai Street, Beijing 100875, China.
| | - Yihe Lü
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, P.O. Box 2871, Beijing 100085, China
| | - Yunfei Liu
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, P.O. Box 2871, Beijing 100085, China; School of Land Science and Technology, China University of Geosciences, Beijing 100083, China
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Xiao T, Ran F, Li Z, Wang S, Nie X, Liu Y, Yang C, Tan M, Feng S. Sediment organic carbon dynamics response to land use change in diverse watershed anthropogenic activities. ENVIRONMENT INTERNATIONAL 2023; 172:107788. [PMID: 36738584 DOI: 10.1016/j.envint.2023.107788] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Revised: 12/27/2022] [Accepted: 01/26/2023] [Indexed: 06/18/2023]
Abstract
Sediment organic carbon (SOC) is a precious archive that synthesizes anthropogenic processes that remove geochemical fluxes from watersheds. However, the scarcity of inspection about the dynamic mechanisms of anthropogenic activities on SOC limits understanding into how key human factors drive carbon dynamics. Here, four typical basins with similar natural but significantly diverse human contexts (high-moderate-low disturbance: XJ-ZS and YJ-LS) were selected to reconstruct sedimentation rates (SR) and SOC dynamics nearly a century based on 200-cm corers. A partial least squares path model (PLS-PM) was used to establish successive (70 years) and multiple anthropogenic data (population, agriculture, land use, etc.) quantification methods for SOC. Intensified anthropogenic disturbances shifted all SR from pre-stable to post-1960s fluctuating increases (total coefficient: high: 0.63 < low: 0.47 < medium: 0.45). Although land use change was co-critical driver of SOC variations, their trend and extent differed under the dams and other disturbances (SOC mutated in high-moderate but stable in low). For high basin, land use changes increased (0.12) but dams reduced (-0.10) the downstream SOC. Furthermore, SOC mutation corresponded to soil erosion due to urbanization in both periods A and B. For moderate, SOC was reversed with the increase in afforestation and cropland (-0.19) due to the forest excitation effect and deep ploughing, which corresponded to the drought in phase B and the anthropogenic ecological project in A. For low, the increase in SOC corresponded to the Great Leap Forward deforestation in period B and the reed sweep in A, which suggested the minor land change substantially affected (0.16) SOC in fragile environments. Overall, SOC dynamics revealed that anthropogenic activities affected terrestrial and aquatic ecosystems for near the centenary, especially land use. This is constructive for agroforestry management and reservoir construction, consistent with expectations like upstream carbon sequestration and downstream carbon stabilization.
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Affiliation(s)
- Tao Xiao
- School of Geographical Sciences, Hunan Normal University, Changsha 410081, PR China; Key Laboratory of Subtropical Ecology and Environmental Change, Hunan Normal University, Changsha 410081, PR China
| | - Fengwei Ran
- School of Geographical Sciences, Hunan Normal University, Changsha 410081, PR China; Key Laboratory of Subtropical Ecology and Environmental Change, Hunan Normal University, Changsha 410081, PR China
| | - Zhongwu Li
- School of Geographical Sciences, Hunan Normal University, Changsha 410081, PR China; Key Laboratory of Subtropical Ecology and Environmental Change, Hunan Normal University, Changsha 410081, PR China; College of Environmental Science & Engineering, Hunan University, Changsha 410082, PR China.
| | - Shilan Wang
- School of Geographical Sciences, Hunan Normal University, Changsha 410081, PR China; Key Laboratory of Subtropical Ecology and Environmental Change, Hunan Normal University, Changsha 410081, PR China
| | - Xiaodong Nie
- School of Geographical Sciences, Hunan Normal University, Changsha 410081, PR China; Key Laboratory of Subtropical Ecology and Environmental Change, Hunan Normal University, Changsha 410081, PR China.
| | - Yaojun Liu
- School of Geographical Sciences, Hunan Normal University, Changsha 410081, PR China; Key Laboratory of Subtropical Ecology and Environmental Change, Hunan Normal University, Changsha 410081, PR China
| | - Changrong Yang
- School of Geographical Sciences, Hunan Normal University, Changsha 410081, PR China; Key Laboratory of Subtropical Ecology and Environmental Change, Hunan Normal University, Changsha 410081, PR China
| | - Min Tan
- School of Geographical Sciences, Hunan Normal University, Changsha 410081, PR China
| | - Sirui Feng
- School of Geographical Sciences, Hunan Normal University, Changsha 410081, PR China
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Zhao W, Xiao C, Li M, Xu L, Li X, He N. Spatial variation and allocation of sulfur among major plant organs in China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 844:157155. [PMID: 35798121 DOI: 10.1016/j.scitotenv.2022.157155] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/21/2022] [Revised: 06/29/2022] [Accepted: 06/30/2022] [Indexed: 06/15/2023]
Abstract
Sulfur (S) is a functional element that plays an important role in abiotic stress resistance and environmental adaptation in plants. However, knowledge of the biogeographic patterns of S among major plant organs remains limited. We conducted a methodologically consistent field survey of 2745 plant species across 78 typical communities throughout China. From this, we constructed a new matched database of S content in leaves, twigs, trunks, and roots to explore S allocation strategies in plants to better understand the regulatory mechanisms on a large scale. The average S content in leaves, twigs, trunks, and roots of plants in China was 2.32 ± 0.04, 1.13 ± 0.02, 0.15 ± 0.01, and 1.23 ± 0.02 g kg-1, respectively. S content was significantly higher in leaves than in other organs, and S content of plants in deserts was higher than that of plants in forests and grasslands. S content changed faster in roots and showed divergent allocation relationships among organs across communities at different scales. Climate and soil properties jointly regulated the spatial variation and allocation relationships of S among different organs. This study further broadens our understanding of the biological functions of S and their role in the interactions between plants and the environment.
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Affiliation(s)
- Wenzong Zhao
- Key Laboratory of Ecology and Environment in Minority Areas (Minzu University of China), National Ethnic Affairs Commission, Beijing 100081, China; College of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China; Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
| | - Chunwang Xiao
- Key Laboratory of Ecology and Environment in Minority Areas (Minzu University of China), National Ethnic Affairs Commission, Beijing 100081, China; College of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China.
| | - Mingxu Li
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
| | - Li Xu
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
| | - Xin Li
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
| | - Nianpeng He
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 10049, China; Center for Ecological Research, Northeast Forestry University, 150040, Harbin, China.
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9
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Yang BY, Ali A, Xu MS, Guan MS, Li Y, Zhang XN, He XM, Yang XD. Large plants enhance aboveground biomass in arid natural forest and plantation along differential abiotic and biotic conditions. FRONTIERS IN PLANT SCIENCE 2022; 13:999793. [PMID: 36311080 PMCID: PMC9612956 DOI: 10.3389/fpls.2022.999793] [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: 07/21/2022] [Accepted: 09/26/2022] [Indexed: 06/16/2023]
Abstract
Big-sized trees, species diversity, and stand density affect aboveground biomass in natural tropical and temperate forests. However, these relationships are unclear in arid natural forests and plantations. Here, we hypothesized that large plants (a latent variable of tall-stature and big-crown, which indicated the effect of big-sized trees on ecosystem function and structure) enhance aboveground biomass in both arid natural forests and plantations along the gradients of climate water availability and soil fertility. To prove it, we used structural equation modeling (SEM) to test the influences of large plants located in 20% of the sequence formed by individual size (a synthetical value calculated from tree height and crown) on aboveground biomass in natural forests and plantations while considering the direct and indirect influences of species diversity as well as climatic and soil conditions, using data from 73 natural forest and 30 plantation plots in the northwest arid region of China. The results showed that large plants, species diversity, and stand density all increased aboveground biomass. Soil fertility declined aboveground biomass in natural forest, whereas it increased biomass in plantation. Although climatic water availability had no direct impact on aboveground biomass in both forests, it indirectly controlled the change of aboveground biomass via species diversity, stand density, and large plants. Stand density negatively affects large plants in both natural forests and plantations. Species diversity positively affects large plants on plantations but not in natural forests. Large plants increased slightly with increasing climatic water availability in the natural forest but decreased in plantation, whereas soil fertility inhibited large plants in plantation only. This study highlights the extended generality of the big-sized trees hypothesis, scaling theory, and the global importance of big-sized tree in arid natural forests and plantations.
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Affiliation(s)
- Bai-Yu Yang
- Department of Geography & Spatial Information Technology, Ningbo University, Ningbo, China
- Institute of Resources and Environment Science, Xinjiang University, Urumqi, China
| | - Arshad Ali
- Forest Ecology Research Group, College of Life Sciences, Hebei University, Baoding, China
| | - Ming-Shan Xu
- Institute of Resources and Environment Science, Xinjiang University, Urumqi, China
| | - Min-Sha Guan
- Department of Geography & Spatial Information Technology, Ningbo University, Ningbo, China
| | - Yan Li
- Institute of Resources and Environment Science, Xinjiang University, Urumqi, China
| | - Xue-Ni Zhang
- Institute of Resources and Environment Science, Xinjiang University, Urumqi, China
| | - Xue-Min He
- Institute of Resources and Environment Science, Xinjiang University, Urumqi, China
| | - Xiao-Dong Yang
- Department of Geography & Spatial Information Technology, Ningbo University, Ningbo, China
- Institute of Resources and Environment Science, Xinjiang University, Urumqi, China
- Institute of East China Sea, Ningbo University, Ningbo, China
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10
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Li Z, Guo Q, Wang S, Xu J, Fang Z, Chen J, Zhu L. Influence of site-specific factors on antibiotic resistance in agricultural soils of Yangtze River Delta: An integrated study of multi-factor modeling. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 838:156474. [PMID: 35660598 DOI: 10.1016/j.scitotenv.2022.156474] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Revised: 05/31/2022] [Accepted: 05/31/2022] [Indexed: 06/15/2023]
Abstract
Agricultural soils are important reservoirs for antibiotic resistance genes (ARGs), which is closely linked to soil microorganisms. Environmental factors and co-existed pollutants may function as promoters or inhibitors for ARG proliferation to influence the agriculture green development. However, research focusing on the interaction of potential environmental drivers and ARGs is still lacking in agricultural soils. Here, we explored the microbial profile in 241 soil samples in Yangtze River Delta, and analyzed the relationship of microbial structures, ARGs, and typical site-specific factors. We found that the abundance of most ARGs was negatively correlated with the ratio of fungi and bacteria (F/B), whereas positively correlated with the ratio of gram-positive and gram-negative microbes (G+/G-). The co-occurrence network revealed significant associations among 18 site-specific factors, including 6 meteorological factors, 5 soil physicochemical properties, 5 co-existed organic pollutants, and 2 co-existed heavy metals. Random forest analysis demonstrated that F/B was mainly influenced by soil organic matters and co-existed polychlorinated biphenyls, while G+/G- was predominately regulated by soil total phosphorus and moisture content, which possibly resulting in their difference relationship with ARG abundance. Besides, the contribution of meteorological factors (>30%) in the explanation for F/B and G+/G- structures was the highest among all the site-specific factors. Together with path analysis showing meteorological factors probably affecting the ARG abundance through direct positive ways or indirect paths via physicochemical properties, microbial structure, and co-existed organic pollutants, we considered meteorological factors as the potential promoters for ARG proliferation. Collectively, these results increase our understanding of agricultural soils as hotspots of ARGs, and highlight the underappreciated role of meteorological factors as potential promoters for soil ARGs, providing reference for us to regulate ARG pollution scientifically to improve the development of green agriculture.
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Affiliation(s)
- Zhiheng Li
- School of Environmental Science and Engineering, Zhejiang Gongshang University, Hangzhou, Zhejiang 310018, China
| | - Qian Guo
- School of Environmental Science and Engineering, Zhejiang Gongshang University, Hangzhou, Zhejiang 310018, China
| | - Shujian Wang
- School of Environmental Science and Engineering, Zhejiang Gongshang University, Hangzhou, Zhejiang 310018, China
| | - Jintao Xu
- Institute of Remote Sensing and Geographical Information Systems, School of Earth and Space Sciences, Peking University, Beijing 100871, China
| | - Zhiguo Fang
- School of Environmental Science and Engineering, Zhejiang Gongshang University, Hangzhou, Zhejiang 310018, China
| | - Jie Chen
- College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, Zhejiang 310058, China.
| | - Lizhong Zhu
- College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, Zhejiang 310058, China
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11
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Peng J, Ma F, Quan Q, Chen X, Wang J, Yan Y, Zhou Q, Niu S. Nitrogen enrichment alters climate sensitivity of biodiversity and productivity differentially and reverses the relationship between them in an alpine meadow. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 835:155418. [PMID: 35472341 DOI: 10.1016/j.scitotenv.2022.155418] [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: 03/05/2022] [Revised: 04/14/2022] [Accepted: 04/17/2022] [Indexed: 06/14/2023]
Abstract
Biodiversity and productivity that highly determine ecosystem services are varying largely under global change. However, the climate sensitivity of them and their relationship are not well understood, especially in the context of increasing nitrogen (N) deposition. Here, based on a six-year N manipulation experiment in an alpine meadow, we quantified interannual climate sensitivity of species richness (SR) and above-ground net primary productivity (ANPP) as well as SR-ANPP relationship as affected by six N addition rate (Nrate) gradients. We found that interannual variations in ANPP and SR were mainly driven by temperature instead of precipitation. In the plots without N addition, higher temperature substantially increased ANPP but reduced SR across years, thus resulting in a negative SR-ANPP relationship. However, the negative and positive responses of SR and ANPP to temperature increased and declined significantly with increasing Nrate, respectively, leading to a shift of the negative relationship between SR and ANPP into a positive one under high Nrate. Moreover, the adverse influence of drought on SR and ANPP would be aggravated by N fertilization, as indicated by the increased positive effect of precipitation on them under N enrichment. Our findings indicate that climate sensitivity of productivity and biodiversity may be misestimated if the impact of N deposition is not considered, and the importance of biodiversity to maintain productivity would enhance as N deposition increases. This study provides a new insight to explain variation of biodiversity-productivity relationship along with environmental changes.
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Affiliation(s)
- Jinlong Peng
- 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
| | - Fangfang Ma
- 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
| | - Quan Quan
- 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
| | - Xinli Chen
- Faculty of Natural Resources Management, Lakehead University, Thunder Bay, Ontario, Canada
| | - Jinsong Wang
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
| | - Yingjie Yan
- 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
| | - Qingping Zhou
- Institute of Qinghai-Tibetan Plateau, Southwest University for Nationalities, Chengdu 610041, China
| | - Shuli Niu
- 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.
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12
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Zhao YQ, Shen J, Feng JM, Wang XZ. Relative contributions of different sources to DOM in Erhai Lake as revealed by PLS-PM. CHEMOSPHERE 2022; 299:134377. [PMID: 35364075 DOI: 10.1016/j.chemosphere.2022.134377] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/07/2021] [Revised: 03/09/2022] [Accepted: 03/17/2022] [Indexed: 06/14/2023]
Abstract
Dissolved organic matter (DOM) is a complex mixture of organic molecules that plays an important role in freshwater lake ecosystems. Excitation emission matrix-parallel factor analysis (EEM-PARAFAC) is an important tool for the identification and source analysis of DOM but is still inadequate for studying the differences and quantifying the contributions of different sources. Here, based on the maximum fluorescence intensities (Fmax) of the four fluorescent components (e.g., protein-like component C1, and the humic-like components C2, C3, C4) identified by EEM-PARAFAC, combined with large-scale data obtained from observations at Erhai Lake, we used partial least squares path modeling (PLS-PM) to improve the understanding of the migration and transformation mechanisms of DOM. The results showed that the phytoplankton and trophic state had greater impacts on DOM, while the impacts of sediment and inflow rivers were less significant. The results of the models that used nitrogen nutrients (N) and phosphorus nutrients (P) to separately indicate the trophic state suggested that the driving force of P on DOM was stronger than that of N in Erhai Lake. Among the four fluorescent components, the protein-like component with the largest relative proportion (41.98%) was mainly affected by phytoplankton, which was consistent with the autogenic characteristics obtained through spontaneous source index (BIX). The duality of the humic-like components was consistent with the duality of DOM through fluorescent index (FI). C3 had a higher sensitivity to the trophic state than the other components, and C2 received the greatest positive contribution from the rivers entering the lake. These results provide an improved insight into the influence of different sources on the behavior of DOM and demonstrate the potential of using PLS-PM to study the complex driving mechanism of aquatic biogeochemical parameters.
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Affiliation(s)
- Yu-Quan Zhao
- School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai, China; National Observation and Research Station of Erhai Lake Ecosystem in Yunnan, Dali, China
| | - Jian Shen
- School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai, China; National Observation and Research Station of Erhai Lake Ecosystem in Yunnan, Dali, China; Yunnan Dali Research Institute of Shanghai Jiao Tong University, Dali, China.
| | - Ji-Meng Feng
- School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai, China; National Observation and Research Station of Erhai Lake Ecosystem in Yunnan, Dali, China; Yunnan Dali Research Institute of Shanghai Jiao Tong University, Dali, China
| | - Xin-Ze Wang
- School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai, China; National Observation and Research Station of Erhai Lake Ecosystem in Yunnan, Dali, China; Yunnan Dali Research Institute of Shanghai Jiao Tong University, Dali, China.
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13
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Gaurav A, Gupta BB, Panigrahi PK. A novel approach for DDoS attacks detection in COVID-19 scenario for small entrepreneurs. TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE 2022. [PMID: 35132282 DOI: 10.1016/j.techfore.2022.121524] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/06/2023]
Abstract
The current COVID-19 issue has altered the way of doing business. Now that most customers prefer to do business online, many companies are shifting their business models, which attracts cyber attackers to launch several kinds of cyberattacks against commercial companies simultaneously. The most common and lethal DDoS attack disables the victim's online resources. While large businesses can afford defensive measures against DDoS assaults, the situation is different for new entrepreneurs. Their lack of security resources restricts their ability to ward off DDoS attacks. Here, we aim to highlight the problems that prospective entrepreneurs should be aware of before joining the business, followed by a filtering mechanism that efficiently identifies DDoS assaults in the COVID-19 scenario, which is the subject of our research. The suggested approach employs statistical and machine learning techniques to discriminate between DDoS attack data and regular communication. Our suggested framework is cost-effective and identifies DDoS attack traffic with a 92.8% accuracy rate.
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Affiliation(s)
| | - Brij B Gupta
- Department of Computer Science and Information Engineering, Asia University, Taichung 413, Taiwan
- King Abdulaziz University, Jeddah, Saudi Arabia
- Department of Computer Engineering, National Institute of Technology Kurukshetra, Kurukshetra, Haryana 136119, India
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14
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Li Z, Sun J, Zhu L. Organophosphorus pesticides in greenhouse and open-field soils across China: Distribution characteristic, polluted pathway and health risk. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 765:142757. [PMID: 33097252 DOI: 10.1016/j.scitotenv.2020.142757] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/03/2020] [Revised: 09/24/2020] [Accepted: 09/28/2020] [Indexed: 06/11/2023]
Abstract
A national-scale survey was conducted to investigate the distribution characteristic, polluted pathway and health risk of organophosphorus pesticides (OPPs) in greenhouse and open-field soils in 20 regions across China. The total concentrations of eight OPPs ranged from 22.1 to 435 ng/g with a mean of 96.2 ng/g in greenhouses, and from 9.93 to 303 ng/g with a mean of 66.6 ng/g in open fields. Due to the intensive agricultural activities, the high residue of OPPs in greenhouse and open-field soils was found in the northeastern, northern and central areas. Furthermore, the effect of environmental factors (i.e. human activities, soil properties, heavy metals and microorganism) on OPPs were evaluated through the partial least squares path modeling. Apart from microorganisms, all the other factors affected the soil contamination of OPPs directly (p < 0.05), where the soil properties occupied the most important position (p < 0.01). In greenhouses, the highest correlation was observed in the relationship between human activities and soil properties, indicating that their combination was more likely to cause the contamination of OPPs in greenhouses indirectly. Moreover, the soil properties had the significant effect on the heavy metals in open fields (p < 0.05), suggesting that the residual OPPs in open fields was sensitive to interaction of these two factors. Although the hazard indexes in all soil samples were less than 1.0, the children were more susceptible to the non-cancer risks of OPPs in greenhouse. This study provided valuable information to understand the pollution status of OPPs in farmlands and protect the agroecological environment.
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Affiliation(s)
- Zhiheng Li
- Department of Environmental Science, Zhejiang University, Hangzhou, Zhejiang 310058, China; Zhejiang Provincial Key Laboratory of Organic Pollution Process and Control, Hangzhou, Zhejiang 310058, China
| | - Jianteng Sun
- Department of Environmental Science, Zhejiang University, Hangzhou, Zhejiang 310058, China; Zhejiang Provincial Key Laboratory of Organic Pollution Process and Control, Hangzhou, Zhejiang 310058, China; Guangdong Provincial Key Laboratory of Petrochemical Pollution Processes and Control, School of Environmental Science and Engineering, Guangdong University of Petrochemical Technology, Maoming, Guangdong 525000, China
| | - Lizhong Zhu
- Department of Environmental Science, Zhejiang University, Hangzhou, Zhejiang 310058, China; Zhejiang Provincial Key Laboratory of Organic Pollution Process and Control, Hangzhou, Zhejiang 310058, China.
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15
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Xu S, Eisenhauer N, Ferlian O, Zhang J, Zhou G, Lu X, Liu C, Zhang D. Species richness promotes ecosystem carbon storage: evidence from biodiversity-ecosystem functioning experiments. Proc Biol Sci 2020; 287:20202063. [PMID: 33234078 PMCID: PMC7739490 DOI: 10.1098/rspb.2020.2063] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2020] [Accepted: 11/03/2020] [Indexed: 12/16/2022] Open
Abstract
Plant diversity has a strong impact on a plethora of ecosystem functions and services, especially ecosystem carbon (C) storage. However, the potential context-dependency of biodiversity effects across ecosystem types, environmental conditions and carbon pools remains largely unknown. In this study, we performed a meta-analysis by collecting data from 95 biodiversity-ecosystem functioning (BEF) studies across 60 sites to explore the effects of plant diversity on different C pools, including aboveground and belowground plant biomass, soil microbial biomass C and soil C content across different ecosystem types. The results showed that ecosystem C storage was significantly enhanced by plant diversity, with stronger effects on aboveground biomass than on soil C content. Moreover, the response magnitudes of ecosystem C storage increased with the level of species richness and experimental duration across all ecosystems. The effects of plant diversity were more pronounced in grasslands than in forests. Furthermore, the effects of plant diversity on belowground plant biomass increased with aridity index in grasslands and forests, suggesting that climate change might modulate biodiversity effects, which are stronger under wetter conditions but weaker under more arid conditions. Taken together, these results provide novel insights into the important role of plant diversity in ecosystem C storage across critical C pools, ecosystem types and environmental contexts.
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Affiliation(s)
- Shan Xu
- South China Botanical Garden, Chinese Academy of Sciences, Guangzhou 510070, People's Republic of China
- Guangdong Key Laboratory of Integrated Agro-environmental Pollution Control and Management, Guangdong Institute of Eco-environmental Science & Technology, Guangzhou 510650, People's Republic of China
| | - Nico Eisenhauer
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Deutscher Platz 5e, 04103 Leipzig, Germany
- Institute of Biology, Leipzig University, Deutscher Platz 5e, 04103 Leipzig, Germany
| | - Olga Ferlian
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Deutscher Platz 5e, 04103 Leipzig, Germany
- Institute of Biology, Leipzig University, Deutscher Platz 5e, 04103 Leipzig, Germany
| | - Jinlong Zhang
- Flora Conservation Department, Kadoorie Farm and Botanic Garden, Tai Po, New Territories, Hong Kong SAR, People's Republic of China
| | - Guoyi Zhou
- Institute of Ecology, Nanjing University of Information Science & Technology, Nanjing 210044, People's Republic of China
| | - Xiankai Lu
- South China Botanical Garden, Chinese Academy of Sciences, Guangzhou 510070, People's Republic of China
| | - Chengshuai Liu
- Guangdong Key Laboratory of Integrated Agro-environmental Pollution Control and Management, Guangdong Institute of Eco-environmental Science & Technology, Guangzhou 510650, People's Republic of China
- State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang 550081, People's Republic of China
| | - Deqiang Zhang
- South China Botanical Garden, Chinese Academy of Sciences, Guangzhou 510070, People's Republic of China
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