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Tang S, Tian D, Wang J, Zhang R, Wang S, Song J, Wan S, Zhang J, Zhang S, Li Z, Niu S. Synergistic effects of multiple global change drivers on terrestrial ecosystem carbon sink. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 906:167554. [PMID: 37820794 DOI: 10.1016/j.scitotenv.2023.167554] [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: 01/04/2023] [Revised: 09/25/2023] [Accepted: 09/30/2023] [Indexed: 10/13/2023]
Abstract
Multiple global change drivers typically co-occur in terrestrial ecosystems, usually with complex interactions on ecosystem carbon fluxes. However, how they interactively impact terrestrial carbon sinks remains unknown. Here, we synthesized 82 field experiments that studied the individual and pairwise effects among nitrogen addition (N), increased precipitation (IP), elevated CO2 (eCO2) and warming, with direct measurements of net ecosystem productivity (NEP), gross ecosystem productivity (GEP) and ecosystem respiration (ER). We found that synergistic interactions mostly occurred between pairs of global change drivers on carbon fluxes. Moreover, these interactions varied with treatment magnitude, experimental duration and background precipitation. Specifically, the synergistic effect of N × IP became stronger with experimental precipitation magnitude and background rainfall. With an increasing N addition rate, N and eCO2 had weaker interactive effects on NEP. Warming and IP were more synergic to enhance NEP with higher levels of warming magnitude. However, the interactive effects of N × eCO2 on ER decreased over the experimental duration. Overall, this study provides new insights into the context-dependent occurrence of interactions among multiple global change drivers on ecosystem carbon sinks. These new findings are valuable to validate land C-cycle models with complex global change interactions and advance the next generations of future experimental design.
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Affiliation(s)
- Shiming Tang
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; Key Laboratory for Model Innovation in Forage Production Efficiency, Ministry of Agriculture and Rural Affuirs, Institute of Grassland Research, Chinese Academy of Agricultural Sciences, Hohhot 010010, China
| | - Dashuan Tian
- 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, Yuquanlu, Beijing 100049, China.
| | - 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; College of Resources and Environment, University of Chinese Academy of Sciences, Yuquanlu, Beijing 100049, China
| | - Ruiyang Zhang
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
| | - Song Wang
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
| | - Jian Song
- College of Life Sciences, Hebei University, Baoding, Hebei 071002, China
| | - Shiqiang Wan
- College of Life Sciences, Hebei University, Baoding, Hebei 071002, China
| | - Jinxin Zhang
- Institute of Ecological Conservation and Restoration, Chinese Academy of Forestry/Grassland Research Center, National Forestry and Grassland Administration, Beijing 100091, China
| | - Shuang Zhang
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China
| | - Zhaolei Li
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, 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, Yuquanlu, Beijing 100049, China
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2
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Qi Q, Zhao J, Tian R, Zeng Y, Xie C, Gao Q, Dai T, Wang H, He JS, Konstantinidis KT, Yang Y, Zhou J, Guo X. Microbially enhanced methane uptake under warming enlarges ecosystem carbon sink in a Tibetan alpine grassland. GLOBAL CHANGE BIOLOGY 2022; 28:6906-6920. [PMID: 36191158 DOI: 10.1111/gcb.16444] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Revised: 08/10/2022] [Accepted: 09/02/2022] [Indexed: 05/25/2023]
Abstract
The alpine grasslands of the Tibetan Plateau store 23.2 Pg soil organic carbon, which becomes susceptible to microbial degradation with climate warming. However, accurate prediction of how the soil carbon stock changes under future climate warming is hampered by our limited understanding of belowground complex microbial communities. Here, we show that 4 years of warming strongly stimulated methane (CH4 ) uptake by 93.8% and aerobic respiration (CO2 ) by 11.3% in the soils of alpine grassland ecosystem. Due to no significant effects of warming on net ecosystem CO2 exchange (NEE), the warming-stimulated CH4 uptake enlarged the carbon sink capacity of whole ecosystem. Furthermore, precipitation alternation did not alter such warming effects, despite the significant effects of precipitation on NEE and soil CH4 fluxes were observed. Metagenomic sequencing revealed that warming led to significant shifts in the overall microbial community structure and the abundances of functional genes, which contrasted to no detectable changes after 2 years of warming. Carbohydrate utilization genes were significantly increased by warming, corresponding with significant increases in soil aerobic respiration. Increased methanotrophic genes and decreased methanogenic genes were observed under warming, which significantly (R2 = .59, p < .001) correlated with warming-enhanced CH4 uptakes. Furthermore, 212 metagenome-assembled genomes were recovered, including many populations involved in the degradation of various organic matter and a highly abundant methylotrophic population of the Methyloceanibacter genus. Collectively, our results provide compelling evidence that specific microbial functional traits for CH4 and CO2 cycling processes respond to climate warming with differential effects on soil greenhouse gas emissions. Alpine grasslands may play huge roles in mitigating climate warming through such microbially enhanced CH4 uptake.
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Affiliation(s)
- Qi Qi
- State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, China
| | - Jianshu Zhao
- School of Civil and Environmental Engineering and School of Biological Sciences, Georgia Institute of Technology, Atlanta, Georgia, USA
| | - Renmao Tian
- Institute for Food Safety and Health, Illinois Institute of Technology, Chicago, Illinois, USA
| | - Yufei Zeng
- State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, China
| | - Changyi Xie
- State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, China
| | - Qun Gao
- State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, China
| | - Tianjiao Dai
- State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, China
| | - Hao Wang
- State Key Laboratory of Grassland Agro-Ecosystems, and College of Ecology, Lanzhou University, Lanzhou, China
| | - Jin-Sheng He
- State Key Laboratory of Grassland Agro-Ecosystems, and College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, China
- College of Urban and Environmental Sciences, and Key Laboratory for Earth Surface Processes of the Ministry of Education, Institute of Ecology, Peking University, Beijing, China
| | - Konstantinos T Konstantinidis
- School of Civil and Environmental Engineering and School of Biological Sciences, Georgia Institute of Technology, Atlanta, Georgia, USA
| | - Yunfeng Yang
- State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, China
| | - Jizhong Zhou
- Institute for Environmental Genomics, University of Oklahoma, Norman, Oklahoma, USA
- Department of Microbiology and Plant Biology, University of Oklahoma, Norman, Oklahoma, USA
- Earth and Environmental Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - Xue Guo
- State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, China
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3
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Sun B, Jiang M, Han G, Zhang L, Zhou J, Bian C, Du Y, Yan L, Xia J. Experimental warming reduces ecosystem resistance and resilience to severe flooding in a wetland. SCIENCE ADVANCES 2022; 8:eabl9526. [PMID: 35080980 PMCID: PMC8791607 DOI: 10.1126/sciadv.abl9526] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/12/2023]
Abstract
Climate warming and extreme hydrological events are threatening the sustainability of wetlands across the globe. However, whether climate warming will amplify or diminish the impact of extreme flooding on wetland ecosystems is unknown. Here, we show that climate warming significantly reduced wetland resistance and resilience to a severe flooding event via a 6-year warming experiment. We first found that warming rapidly altered plant community structure by increasing the dominance of low-canopy species. Then, we showed that warming reduced the resistance and resilience of vegetation productivity to a 72-cm flooding event. Last, we detected slower postflooding carbon processes, such as gross ecosystem productivity, soil respiration, and soil methane emission, under the warming treatment. Our results demonstrate how severe flooding can destabilize wetland vegetation structure and ecosystem function under climate warming. These findings indicate an enhanced footprint of extreme hydrological events in wetland ecosystems in a warmer climate.
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Affiliation(s)
- Baoyu Sun
- State Key Laboratory of Estuarine and Coastal Research, School of Ecological and Environmental Sciences, East China Normal University, Shanghai 200000, China
- Key Laboratory of Coastal Zone Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264000, China
| | - Ming Jiang
- State Key Laboratory of Estuarine and Coastal Research, School of Ecological and Environmental Sciences, East China Normal University, Shanghai 200000, China
| | - Guangxuan Han
- Key Laboratory of Coastal Zone Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264000, China
- University of Chinese Academy of Sciences, Beijing 100000, China
| | - Liwen Zhang
- Key Laboratory of Coastal Zone Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264000, China
- University of Chinese Academy of Sciences, Beijing 100000, China
| | - Jian Zhou
- State Key Laboratory of Estuarine and Coastal Research, School of Ecological and Environmental Sciences, East China Normal University, Shanghai 200000, China
- Research Center for Global Change and Complex Ecosystems, East China Normal University, Shanghai 200000, China
| | - Chenyu Bian
- State Key Laboratory of Estuarine and Coastal Research, School of Ecological and Environmental Sciences, East China Normal University, Shanghai 200000, China
- Research Center for Global Change and Complex Ecosystems, East China Normal University, Shanghai 200000, China
| | - Ying Du
- State Key Laboratory of Estuarine and Coastal Research, School of Ecological and Environmental Sciences, East China Normal University, Shanghai 200000, China
- Research Center for Global Change and Complex Ecosystems, East China Normal University, Shanghai 200000, China
| | - Liming Yan
- State Key Laboratory of Estuarine and Coastal Research, School of Ecological and Environmental Sciences, East China Normal University, Shanghai 200000, China
- Research Center for Global Change and Complex Ecosystems, East China Normal University, Shanghai 200000, China
| | - Jianyang Xia
- State Key Laboratory of Estuarine and Coastal Research, School of Ecological and Environmental Sciences, East China Normal University, Shanghai 200000, China
- Research Center for Global Change and Complex Ecosystems, East China Normal University, Shanghai 200000, China
- Corresponding author.
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Liberati D, Guidolotti G, de Dato G, De Angelis P. Enhancement of ecosystem carbon uptake in a dry shrubland under moderate warming: The role of nitrogen-driven changes in plant morphology. GLOBAL CHANGE BIOLOGY 2021; 27:5629-5642. [PMID: 34363286 PMCID: PMC9290483 DOI: 10.1111/gcb.15823] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Revised: 07/07/2021] [Accepted: 07/15/2021] [Indexed: 06/13/2023]
Abstract
Net ecosystem CO2 exchange is the result of net carbon uptake by plant photosynthesis and carbon loss by soil and plant respiration. Temperature increases due to climate change can modify the equilibrium between these fluxes and trigger ecosystem-climate feedbacks that can accelerate climate warming. As these dynamics have not been well studied in dry shrublands, we subjected a Mediterranean shrubland to a 10-year night-time temperature manipulation experiment that analyzed ecosystem carbon fluxes associated with dominant shrub species, together with several plant parameters related to leaf photosynthesis, leaf morphology, and canopy structure. Under moderate night-time warming (+0.9°C minimum daily temperature, no significant reduction in soil moisture), Cistus monspeliensis formed shoots with more leaves that were relatively larger and denser canopies that supported higher plant-level photosynthesis rates. Given that ecosystem respiration was not affected, this change in canopy morphology led to a significant enhancement in net ecosystem exchange (+47% at midday). The observed changes in shoot and canopy morphology were attributed to the improved nutritional state of the warmed plants, primarily due to changes in nitrogen cycling and higher nitrogen resorption efficiency in senescent leaves. Our results show that modifications in plant morphology triggered by moderate warming affected ecosystem CO2 fluxes, providing the first evidence for enhanced daytime carbon uptake in a dry shrubland ecosystem under experimental warming.
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Affiliation(s)
- Dario Liberati
- Department for Innovation in Biological, Agro‐Food and Forest Systems (DIBAF)University of TusciaViterboItaly
| | - Gabriele Guidolotti
- Department for Innovation in Biological, Agro‐Food and Forest Systems (DIBAF)University of TusciaViterboItaly
- Present address:
Institute of Research on Terrestrial Ecosystems (IRET)National Research Council (CNR)PoranoTRItaly
| | - Giovanbattista de Dato
- Department for Innovation in Biological, Agro‐Food and Forest Systems (DIBAF)University of TusciaViterboItaly
- Present address:
Council for Agricultural Research and Economics (CREA) – Research Centre for Forestry and WoodArezzoItaly
| | - Paolo De Angelis
- Department for Innovation in Biological, Agro‐Food and Forest Systems (DIBAF)University of TusciaViterboItaly
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5
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Sun B, Yan L, Jiang M, Li X, Han G, Xia J. Reduced magnitude and shifted seasonality of CO 2 sink by experimental warming in a coastal wetland. Ecology 2020; 102:e03236. [PMID: 33098567 DOI: 10.1002/ecy.3236] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2020] [Revised: 08/21/2020] [Accepted: 09/14/2020] [Indexed: 01/01/2023]
Abstract
Coastal wetlands have the highest carbon sequestration rate per unit area among all unmanaged natural ecosystems. However, how the magnitude and seasonality of the CO2 sink in coastal wetlands will respond to future climate warming remains unclear. Here, based on measurements of ecosystem CO2 fluxes in a field experiment in the Yellow River Delta, we found that experimental warming (i.e., a 2.4°C increase in soil temperature) reduced net ecosystem productivity (NEP) by 23.7% across two growing seasons of 2017-2018. Such a reduction in NEP resulted from the greater decrease in gross primary productivity (GPP) than ecosystem respiration (ER) under warming. The negative warming effect on NEP mainly occurred in summer (-43.9%) but not in autumn (+61.3%), leading to a shifted NEP seasonality under warming. Further analyses showed that the warming effects on ecosystem CO2 exchange were mainly controlled by soil salinity and its corresponding impacts on species composition. For example, warming increased soil salinity (+35.0%), reduced total aboveground biomass (-9.9%), and benefited the growth of plant species with high salt tolerance and late peak growth. To the best of our knowledge, this study provides the first experimental evidence on the reduced magnitude and shifted seasonality of CO2 exchange under climate warming in coastal wetlands. These findings underscore the high vulnerability of wetland CO2 sink in coastal regions under future climate change.
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Affiliation(s)
- Baoyu Sun
- State Key Laboratory of Estuarine and Coastal Research, Shanghai Key Lab for Urban Ecological Processes and Eco-Restoration, School of Ecological and Environmental Sciences, East China Normal University, Shanghai, 200000, China.,Joint Translational Science and Technology Research Institute, East China Normal University and Haifa University, Shanghai, 200000, China.,Key Laboratory of Coastal Zone Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai, 264000, China
| | - Liming Yan
- State Key Laboratory of Estuarine and Coastal Research, Shanghai Key Lab for Urban Ecological Processes and Eco-Restoration, School of Ecological and Environmental Sciences, East China Normal University, Shanghai, 200000, China.,Research Center for Global Change and Ecological Forecasting, East China Normal University, Shanghai, 200000, China
| | - Ming Jiang
- State Key Laboratory of Estuarine and Coastal Research, Shanghai Key Lab for Urban Ecological Processes and Eco-Restoration, School of Ecological and Environmental Sciences, East China Normal University, Shanghai, 200000, China.,Research Center for Global Change and Ecological Forecasting, East China Normal University, Shanghai, 200000, China
| | - Xinge Li
- Key Laboratory of Coastal Zone Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai, 264000, China.,University of Chinese Academy of Sciences, Beijing, 100000, China
| | - Guangxuan Han
- Key Laboratory of Coastal Zone Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai, 264000, China.,University of Chinese Academy of Sciences, Beijing, 100000, China
| | - Jianyang Xia
- State Key Laboratory of Estuarine and Coastal Research, Shanghai Key Lab for Urban Ecological Processes and Eco-Restoration, School of Ecological and Environmental Sciences, East China Normal University, Shanghai, 200000, China.,Research Center for Global Change and Ecological Forecasting, East China Normal University, Shanghai, 200000, China
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6
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Peng Y, Chen HYH, Yang Y. Global pattern and drivers of nitrogen saturation threshold of grassland productivity. Funct Ecol 2020. [DOI: 10.1111/1365-2435.13622] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Yunfeng Peng
- State Key Laboratory of Vegetation and Environmental Change Institute of Botany Chinese Academy of Sciences Beijing China
| | - Han Y. H. Chen
- Faculty of Natural Resources Management Lakehead University Thunder Bay ON Canada
| | - Yuanhe Yang
- State Key Laboratory of Vegetation and Environmental Change Institute of Botany Chinese Academy of Sciences Beijing China
- University of Chinese Academy of Sciences Beijing China
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7
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Wang J, Zhang Q, Song J, Ru J, Zhou Z, Xia J, Dukes JS, Wan S. Nighttime warming enhances ecosystem carbon‐use efficiency in a temperate steppe. Funct Ecol 2020. [DOI: 10.1111/1365-2435.13579] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Jing Wang
- College of Life Sciences Hebei University Baoding Hebei China
| | - Qian Zhang
- International Joint Research Laboratory for Global Change Ecology School of Life Sciences Henan University Kaifeng Henan China
| | - Jian Song
- College of Life Sciences Hebei University Baoding Hebei China
| | - Jingyi Ru
- International Joint Research Laboratory for Global Change Ecology School of Life Sciences Henan University Kaifeng Henan China
| | - Zhenxing Zhou
- International Joint Research Laboratory for Global Change Ecology School of Life Sciences Henan University Kaifeng Henan China
| | - Jianyang Xia
- Research Center for Global Change and Ecological Forecasting and Tiantong National Field Observation Station for Forest Ecosystem School of Ecological and Environmental Sciences East China Normal University Shanghai China
| | - Jeffrey S. Dukes
- Department of Forestry and Natural Resources Purdue Climate Change Research CenterPurdue University West Lafayette IN USA
- Department of Biological Sciences Purdue Climate Change Research CenterPurdue University West Lafayette IN USA
| | - Shiqiang Wan
- College of Life Sciences Hebei University Baoding Hebei China
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8
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Quan Q, Tian D, Luo Y, Zhang F, Crowther TW, Zhu K, Chen HYH, Zhou Q, Niu S. Water scaling of ecosystem carbon cycle feedback to climate warming. SCIENCE ADVANCES 2019; 5:eaav1131. [PMID: 31457076 PMCID: PMC6703863 DOI: 10.1126/sciadv.aav1131] [Citation(s) in RCA: 43] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/16/2018] [Accepted: 07/15/2019] [Indexed: 05/22/2023]
Abstract
It has been well established by field experiments that warming stimulates either net ecosystem carbon uptake or release, leading to negative or positive carbon cycle-climate change feedback, respectively. This variation in carbon-climate feedback has been partially attributed to water availability. However, it remains unclear under what conditions water availability enhances or weakens carbon-climate feedback or even changes its direction. Combining a field experiment with a global synthesis, we show that warming stimulates net carbon uptake (negative feedback) under wet conditions, but depresses it (positive feedback) under very dry conditions. This switch in carbon-climate feedback direction arises mainly from scaling effects of warming-induced decreases in soil water content on net ecosystem productivity. This water scaling of warming effects offers generalizable mechanisms not only to help explain varying magnitudes and directions of observed carbon-climate feedback but also to improve model prediction of ecosystem carbon dynamics in response to climate change.
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Affiliation(s)
- 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, Yuquanlu, Beijing 100049, China
| | - Dashuan Tian
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
| | - Yiqi Luo
- Center for Ecosystem Science and Society, Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ 86011, USA
- Department of Earth System Science, Tsinghua University, Beijing 100084, China
| | - Fangyue Zhang
- 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, Yuquanlu, Beijing 100049, China
| | - Tom W. Crowther
- Institute of Integrative Biology, ETH-Zürich, Universitätstrasse 16, 8006 Zürich, Switzerland
| | - Kai Zhu
- Department of Environmental Studies, University of California, Santa Cruz, CA 95060, USA
| | - Han Y. H. Chen
- Faculty of Natural Resources Management, Lakehead University, 955 Oliver Road, Thunder Bay, ON P7B 5E1, Canada
- Key Laboratory for Humid Subtropical Eco-Geographical Processes of the Ministry of Education, Fujian Normal University, Fuzhou 350007, 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, Yuquanlu, Beijing 100049, China
- Corresponding author.
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9
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Wang N, Quesada B, Xia L, Butterbach-Bahl K, Goodale CL, Kiese R. Effects of climate warming on carbon fluxes in grasslands- A global meta-analysis. GLOBAL CHANGE BIOLOGY 2019; 25:1839-1851. [PMID: 30801860 DOI: 10.1111/gcb.14603] [Citation(s) in RCA: 45] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/09/2018] [Accepted: 01/29/2019] [Indexed: 06/09/2023]
Abstract
Climate warming will affect terrestrial ecosystems in many ways, and warming-induced changes in terrestrial carbon (C) cycling could accelerate or slow future warming. So far, warming experiments have shown a wide range of C flux responses, across and within biome types. However, past meta-analyses of C flux responses have lacked sufficient sample size to discern relative responses for a given biome type. For instance grasslands contribute greatly to global terrestrial C fluxes, and to date grassland warming experiments provide the opportunity to evaluate concurrent responses of both plant and soil C fluxes. Here, we compiled data from 70 sites (in total 622 observations) to evaluate the response of C fluxes to experimental warming across three grassland types (cold, temperate, and semi-arid), warming methods, and short (≤3 years) and longer-term (>3 years) experiment lengths. Overall, our meta-analysis revealed that experimental warming stimulated C fluxes in grassland ecosystems with regard to both plant production (e.g., net primary productivity (NPP) 15.4%; aboveground NPP (ANPP) by 7.6%, belowground NPP (BNPP) by 11.6%) and soil respiration (Rs) (9.5%). However, the magnitude of C flux stimulation varied significantly across cold, temperate and semi-arid grasslands, in that responses for most C fluxes were larger in cold than temperate or semi-arid ecosystems. In semi-arid and temperate grasslands, ecosystem respiration (Reco) was more sensitive to warming than gross primary productivity (GPP), while the opposite was observed for cold grasslands, where warming produced a net increase in whole-ecosystem C storage. However, the stimulatory effect of warming on ANPP and Rs observed in short-term studies (≤3 years) in both cold and temperate grasslands disappeared in longer-term experiments (>3 years). These results highlight the importance of conducting long-term warming experiments, and in examining responses across a wide range of climate.
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Affiliation(s)
- Na Wang
- Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology (KIT), Garmisch-Partenkirchen, Germany
| | - Benjamin Quesada
- Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology (KIT), Garmisch-Partenkirchen, Germany
- Faculty of Natural Sciences and Mathematics, "Interactions Climate-Ecosystems (ICE)" Research Group, Universidad del Rosario, Bogotá, Colombia
| | - Longlong Xia
- Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology (KIT), Garmisch-Partenkirchen, Germany
| | - Klaus Butterbach-Bahl
- Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology (KIT), Garmisch-Partenkirchen, Germany
- Mazingira Centre, International Livestock Research Institute (ILRI), Nairobi, Kenya
| | - Christine L Goodale
- Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, New York, USA
| | - Ralf Kiese
- Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology (KIT), Garmisch-Partenkirchen, Germany
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10
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Guo X, Zhou X, Hale L, Yuan M, Ning D, Feng J, Shi Z, Li Z, Feng B, Gao Q, Wu L, Shi W, Zhou A, Fu Y, Wu L, He Z, Van Nostrand JD, Qiu G, Liu X, Luo Y, Tiedje JM, Yang Y, Zhou J. Climate warming accelerates temporal scaling of grassland soil microbial biodiversity. Nat Ecol Evol 2019; 3:612-619. [PMID: 30911147 DOI: 10.1038/s41559-019-0848-8] [Citation(s) in RCA: 75] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2018] [Accepted: 02/05/2019] [Indexed: 12/24/2022]
Abstract
Determining the temporal scaling of biodiversity, typically described as species-time relationships (STRs), in the face of global climate change is a central issue in ecology because it is fundamental to biodiversity preservation and ecosystem management. However, whether and how climate change affects microbial STRs remains unclear, mainly due to the scarcity of long-term experimental data. Here, we examine the STRs and phylogenetic-time relationships (PTRs) of soil bacteria and fungi in a long-term multifactorial global change experiment with warming (+3 °C), half precipitation (-50%), double precipitation (+100%) and clipping (annual plant biomass removal). Soil bacteria and fungi all exhibited strong STRs and PTRs across the 12 experimental conditions. Strikingly, warming accelerated the bacterial and fungal STR and PTR exponents (that is, the w values), yielding significantly (P < 0.001) higher temporal scaling rates. While the STRs and PTRs were significantly shifted by altered precipitation, clipping and their combinations, warming played the predominant role. In addition, comparison with the previous literature revealed that soil bacteria and fungi had considerably higher overall temporal scaling rates (w = 0.39-0.64) than those of plants and animals (w = 0.21-0.38). Our results on warming-enhanced temporal scaling of microbial biodiversity suggest that the strategies of soil biodiversity preservation and ecosystem management may need to be adjusted in a warmer world.
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Affiliation(s)
- Xue Guo
- Key Laboratory of Biometallurgy of Ministry of Education, School of Minerals Processing and Bioengineering, Central South University, Changsha, China.,Institute for Environmental Genomics, University of Oklahoma, Norman, OK, USA.,Department of Microbiology and Plant Biology, University of Oklahoma, Norman, OK, USA.,State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, China
| | - Xishu Zhou
- Key Laboratory of Biometallurgy of Ministry of Education, School of Minerals Processing and Bioengineering, Central South University, Changsha, China.,Institute for Environmental Genomics, University of Oklahoma, Norman, OK, USA.,Department of Microbiology and Plant Biology, University of Oklahoma, Norman, OK, USA
| | - Lauren Hale
- Institute for Environmental Genomics, University of Oklahoma, Norman, OK, USA.,Department of Microbiology and Plant Biology, University of Oklahoma, Norman, OK, USA.,Water Management Research Unit, SJVASC, USDA-ARS, Parlier, CA, USA
| | - Mengting Yuan
- Institute for Environmental Genomics, University of Oklahoma, Norman, OK, USA.,Department of Microbiology and Plant Biology, University of Oklahoma, Norman, OK, USA.,Department of Environmental Science, Policy, and Management, University of California, Berkeley, CA, USA
| | - Daliang Ning
- Institute for Environmental Genomics, University of Oklahoma, Norman, OK, USA.,Department of Microbiology and Plant Biology, University of Oklahoma, Norman, OK, USA
| | - Jiajie Feng
- Institute for Environmental Genomics, University of Oklahoma, Norman, OK, USA.,Department of Microbiology and Plant Biology, University of Oklahoma, Norman, OK, USA
| | - Zhou Shi
- Institute for Environmental Genomics, University of Oklahoma, Norman, OK, USA.,Department of Microbiology and Plant Biology, University of Oklahoma, Norman, OK, USA
| | - Zhenxin Li
- Institute for Environmental Genomics, University of Oklahoma, Norman, OK, USA.,Department of Microbiology and Plant Biology, University of Oklahoma, Norman, OK, USA
| | - Bin Feng
- Institute for Environmental Genomics, University of Oklahoma, Norman, OK, USA.,Department of Microbiology and Plant Biology, University of Oklahoma, Norman, OK, USA
| | - Qun Gao
- Institute for Environmental Genomics, University of Oklahoma, Norman, OK, USA.,Department of Microbiology and Plant Biology, University of Oklahoma, Norman, OK, USA.,State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, China
| | - Linwei Wu
- Institute for Environmental Genomics, University of Oklahoma, Norman, OK, USA.,Department of Microbiology and Plant Biology, University of Oklahoma, Norman, OK, USA.,State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, China
| | - Weiling Shi
- Institute for Environmental Genomics, University of Oklahoma, Norman, OK, USA.,Department of Microbiology and Plant Biology, University of Oklahoma, Norman, OK, USA
| | - Aifen Zhou
- Institute for Environmental Genomics, University of Oklahoma, Norman, OK, USA.,Department of Microbiology and Plant Biology, University of Oklahoma, Norman, OK, USA
| | - Ying Fu
- Institute for Environmental Genomics, University of Oklahoma, Norman, OK, USA.,Department of Microbiology and Plant Biology, University of Oklahoma, Norman, OK, USA
| | - Liyou Wu
- Institute for Environmental Genomics, University of Oklahoma, Norman, OK, USA.,Department of Microbiology and Plant Biology, University of Oklahoma, Norman, OK, USA
| | - Zhili He
- Institute for Environmental Genomics, University of Oklahoma, Norman, OK, USA.,Department of Microbiology and Plant Biology, University of Oklahoma, Norman, OK, USA
| | - Joy D Van Nostrand
- Institute for Environmental Genomics, University of Oklahoma, Norman, OK, USA.,Department of Microbiology and Plant Biology, University of Oklahoma, Norman, OK, USA
| | - Guanzhou Qiu
- Key Laboratory of Biometallurgy of Ministry of Education, School of Minerals Processing and Bioengineering, Central South University, Changsha, China
| | - Xueduan Liu
- Key Laboratory of Biometallurgy of Ministry of Education, School of Minerals Processing and Bioengineering, Central South University, Changsha, China
| | - Yiqi Luo
- Department of Microbiology and Plant Biology, University of Oklahoma, Norman, OK, USA.,Center for Ecosystem Science and Society, Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ, USA.,Department of Earth System Science, Tsinghua University, Beijing, China
| | - James M Tiedje
- Center for Microbial Ecology, Michigan State University, East Lansing, MI, USA
| | - Yunfeng Yang
- State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, China
| | - Jizhong Zhou
- Institute for Environmental Genomics, University of Oklahoma, Norman, OK, USA. .,Department of Microbiology and Plant Biology, University of Oklahoma, Norman, OK, USA. .,State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, China. .,School of Civil Engineering and Environmental Sciences, University of Oklahoma, Norman, OK, USA. .,Earth and Environmental Sciences, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
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11
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Zhang F, Quan Q, Ma F, Tian D, Zhou Q, Niu S. Differential responses of ecosystem carbon flux components to experimental precipitation gradient in an alpine meadow. Funct Ecol 2019. [DOI: 10.1111/1365-2435.13300] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Affiliation(s)
- Fangyue Zhang
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing China
- University of Chinese Academy of Sciences Beijing China
| | - Quan Quan
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing China
- University of Chinese Academy of Sciences Beijing China
| | - Fangfang Ma
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing China
- University of Chinese Academy of Sciences Beijing China
| | - Dashuan Tian
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing China
| | - Qingping Zhou
- Institute of Qinghai‐Tibetan Plateau Southwest Minzu University Chengdu China
| | - Shuli Niu
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing China
- University of Chinese Academy of Sciences Beijing China
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12
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Shi Z, Lin Y, Wilcox KR, Souza L, Jiang L, Jiang J, Jung CG, Xu X, Yuan M, Guo X, Wu L, Zhou J, Luo Y. Successional change in species composition alters climate sensitivity of grassland productivity. GLOBAL CHANGE BIOLOGY 2018; 24:4993-5003. [PMID: 29851205 DOI: 10.1111/gcb.14333] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/20/2017] [Accepted: 05/21/2018] [Indexed: 06/08/2023]
Abstract
Succession theory predicts altered sensitivity of ecosystem functions to disturbance (i.e., climate change) due to the temporal shift in plant community composition. However, empirical evidence in global change experiments is lacking to support this prediction. Here, we present findings from an 8-year long-term global change experiment with warming and altered precipitation manipulation (double and halved amount). First, we observed a temporal shift in species composition over 8 years, resulting in a transition from an annual C3 -dominant plant community to a perennial C4 -dominant plant community. This successional transition was independent of any experimental treatments. During the successional transition, the response of aboveground net primary productivity (ANPP) to precipitation addition magnified from neutral to +45.3%, while the response to halved precipitation attenuated substantially from -17.6% to neutral. However, warming did not affect ANPP in either state. The findings further reveal that the time-dependent climate sensitivity may be regulated by successional change in species composition, highlighting the importance of vegetation dynamics in regulating the response of ecosystem productivity to precipitation change.
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Affiliation(s)
- Zheng Shi
- Co-Innovation Center for Sustainable Forestry in Southern China, College of Biology and the Environment, Nanjing Forestry University, Nanjing, China
- Department of Microbiology & Plant Biology, University of Oklahoma, Norman, Oklahoma
| | - Yang Lin
- Department of Environmental Science, Policy, and Management, University of California, Berkeley, California
| | - Kevin R Wilcox
- Department of Microbiology & Plant Biology, University of Oklahoma, Norman, Oklahoma
| | - Lara Souza
- Department of Microbiology & Plant Biology, University of Oklahoma, Norman, Oklahoma
| | - Lifen Jiang
- Center for Ecosystem Science and Society, Northern Arizona University, Flagstaff, Arizona
| | - Jiang Jiang
- Key Laboratory of Soil and Water Conservation and Ecological Restoration in Jiangsu Province, Collaborative Innovation Center of Sustainable Forestry in Southern China of Jiangsu Province, Nanjing Forestry University, Nanjing, China
| | - Chang Gyo Jung
- Center for Ecosystem Science and Society, Northern Arizona University, Flagstaff, Arizona
| | - Xia Xu
- Co-Innovation Center for Sustainable Forestry in Southern China, College of Biology and the Environment, Nanjing Forestry University, Nanjing, China
| | - Mengting Yuan
- Department of Microbiology & Plant Biology, University of Oklahoma, Norman, Oklahoma
- Institute for Environmental Genomics, University of Oklahoma, Norman, Oklahoma
| | - Xue Guo
- Department of Microbiology & Plant Biology, University of Oklahoma, Norman, Oklahoma
- School of Minerals Processing and Bioengineering, Central South University, Changsha, China
| | - Liyou Wu
- Department of Microbiology & Plant Biology, University of Oklahoma, Norman, Oklahoma
- Institute for Environmental Genomics, University of Oklahoma, Norman, Oklahoma
| | - Jizhong Zhou
- Department of Microbiology & Plant Biology, University of Oklahoma, Norman, Oklahoma
- Institute for Environmental Genomics, University of Oklahoma, Norman, Oklahoma
- State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, China
- Earth and Environmental Sciences, Lawrence Berkeley National Laboratory, Berkeley, California
| | - Yiqi Luo
- Center for Ecosystem Science and Society, Northern Arizona University, Flagstaff, Arizona
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13
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Birgander J, Rousk J, Olsson PA. Warmer winters increase the rhizosphere carbon flow to mycorrhizal fungi more than to other microorganisms in a temperate grassland. GLOBAL CHANGE BIOLOGY 2017; 23:5372-5382. [PMID: 28675677 DOI: 10.1111/gcb.13803] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/20/2017] [Accepted: 05/30/2017] [Indexed: 06/07/2023]
Abstract
A decisive set of steps in the terrestrial carbon (C) cycle is the fixation of atmospheric C by plants and the subsequent C-transfer to rhizosphere microorganisms. With climate change winters are expected to become milder in temperate ecosystems. Although the rate and pathways of rhizosphere C input to soil could be impacted by milder winters, the responses remain unknown. To address this knowledge-gap, a winter-warming experiment was established in a seminatural temperate grassland to follow the C flow from atmosphere, via the plants, to different groups of soil microorganisms. In situ 13 CO2 pulse labelling was used to track C into signature fatty acids of microorganisms. The winter warming did not result in any changes in biomass of any of the groups of microorganisms. However, the C flow from plants to arbuscular mycorrhizal (AM) fungi, increased substantially by winter warming. Saprotrophic fungi also received large amounts of plant-derived C-indicating a higher importance for the turnover of rhizosphere C than biomass estimates would suggest-still, this C flow was unaffected by winter warming. AM fungi was the only microbial group positively affected by winter warming-the group with the closest connection to plants. Winter warming resulted in higher plant productivity earlier in the season, and this aboveground change likely induced plant nutrient limitation in warmed plots, thus stimulating the plant dependence on, and C allocation to, belowground nutrient acquisition. The preferential C allocation to AM fungi was at the expense of C flow to other microbial groups, which were unaffected by warming. Our findings imply that warmer winters may shift rhizosphere C-fluxes to become more AM fungal-dominated. Surprisingly, the stimulated rhizosphere C flow was matched by increased microbial turnover, leading to no accumulation of soil microbial biomass.
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Affiliation(s)
- Johanna Birgander
- Department of Biology and Biodiversity, Lund University, Lund, Sweden
| | - Johannes Rousk
- Department of Biology and Microbial Ecology, Lund University, Lund, Sweden
| | - Pål Axel Olsson
- Department of Biology and Biodiversity, Lund University, Lund, Sweden
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