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Xiang Q, Yu H, Huang H, Yan D, Yu C, Wang Y, Xiong Z. The impact of grazing activities and environmental conditions on the stability of alpine grassland ecosystems. J Environ Manage 2024; 360:121176. [PMID: 38759547 DOI: 10.1016/j.jenvman.2024.121176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/16/2024] [Revised: 05/08/2024] [Accepted: 05/12/2024] [Indexed: 05/19/2024]
Abstract
Globally, grazing activities have profound impacts on the structure and function of ecosystems. This study, based on a 20-year MODIS time series dataset, employs remote sensing techniques and the Seasonal-Trend decomposition using Loess (STL) algorithm to quantitatively assess the stability of alpine grassland ecosystems from multiple dimensions, and to reveal the characteristics of grazing activities and environmental conditions on ecosystem stability. The results indicate that only 5.77% of the area remains undisturbed, with most areas experiencing varying degrees of disturbance. Further analysis shows that grazing activities in high vegetation coverage areas are the main source of interference. In areas with concentrated interference, elevation and slope have a positive correlation with resistance stability, but a negative correlation with recovery stability. Precipitation and landscape diversity have positive effects on both resistance stability and recovery stability. Vegetation coverage and grazing intensity have a negative correlation with resistance stability, but a positive correlation with recovery stability. This highlights the complex interactions between human activities, environmental factors, and ecosystem stability. The findings emphasize the need for targeted conservation and management strategies to mitigate disturbances to ecosystems affected by human activities and enhance their stability.
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Affiliation(s)
- Qing Xiang
- College of Geography and Planning, Chengdu University of Technology, Chengdu, 610059, China
| | - Huan Yu
- College of Geography and Planning, Chengdu University of Technology, Chengdu, 610059, China; Xizang Geological Environment Monitoring Center, Lhasa, 850000, China.
| | - Hong Huang
- College of Geography and Planning, Chengdu University of Technology, Chengdu, 610059, China; Research Center for Human Geography of Tibetan Plateau and Its Eastern Slope, Key Research Base of Humanities and Social Sciences of Colleges in Sichuan Province, Chengdu, 610059, China
| | - DongMing Yan
- College of Geography and Planning, Chengdu University of Technology, Chengdu, 610059, China
| | - ChunZhe Yu
- College of Geography and Planning, Chengdu University of Technology, Chengdu, 610059, China
| | - Yun Wang
- The Third Geodetic Surveying Brigade of MNR, Chengdu, 610199, China
| | - Zixuan Xiong
- The Third Geodetic Surveying Brigade of MNR, Chengdu, 610199, China
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2
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Huang Y, Chen XS, Zhu L. Differential responses of ecosystem stability to climatic and anthropogenic factors in connected and isolated lake basins on the Yangtze River. J Environ Manage 2024; 359:121014. [PMID: 38704954 DOI: 10.1016/j.jenvman.2024.121014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/29/2024] [Revised: 04/06/2024] [Accepted: 04/23/2024] [Indexed: 05/07/2024]
Abstract
Maintaining optimal ecological security in the Yangtze River-connected and isolated lake basins is of great significance to national projects involving Yangtze River protection. Ecosystem stability and associated factors are important components of ecological security in these basins. However, few studies have focused on ecosystem stability and its driving factors over long periods in the Yangtze River Basin. In this study, a remote sensing index was used to analyze the spatiotemporal variation in the ecosystem stability of the Dongting Lake Basin (DTL), Poyang Lake Basin (PYL), and the isolated Chaohu Lake Basin (CHL) and Taihu Lake Basin (THL) in the Yangtze River over the period 2000-2022 to determine the potential affecting factors. The results showed fluctuations in the ecosystem stability of the DTL and PYL, while a V-shape was observed for the CHL and THL during the same period; the closer to the lake, the weaker the stability of the ecosystem, especially in the DTL and PYL. Moreover, the ecosystem stability was greater in the DTL and PYL than in the CHL and THL. The spillover effect of anthropogenic activities on the ecosystem stability of the four basins and the direct effect of temperature have the greatest effect on the ecosystem stability. Specifically, the ecosystem stability index for the area around the DTL and PYL decreased with increasing human interference, whereas the opposite was observed in the CHL and THL. The effect of temperature was negative for the ecosystem stability of DTL and PYL and significantly positive for CHL and THL, at a level of 0.01 %. The findings of this study provide significant information for targeted ecological restoration of the Yangtze River Basin.
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Affiliation(s)
- Ying Huang
- College of Economics and Management, Hunan Institute of Science and Technology, Yueyang 414000, China
| | - Xin-Sheng Chen
- School of Resources and Environmental Engineering, Anhui University, Hefei 230601, China.
| | - Lianlian Zhu
- School of Earth Sciences and Spatial Information Engineering, Institute of Subtropical Agriculture, Hunan University of Science and Technology, Xiangtan 411201, China
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3
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Lenton TM, Abrams JF, Bartsch A, Bathiany S, Boulton CA, Buxton JE, Conversi A, Cunliffe AM, Hebden S, Lavergne T, Poulter B, Shepherd A, Smith T, Swingedouw D, Winkelmann R, Boers N. Remotely sensing potential climate change tipping points across scales. Nat Commun 2024; 15:343. [PMID: 38184618 PMCID: PMC10771461 DOI: 10.1038/s41467-023-44609-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Accepted: 12/18/2023] [Indexed: 01/08/2024] Open
Abstract
Potential climate tipping points pose a growing risk for societies, and policy is calling for improved anticipation of them. Satellite remote sensing can play a unique role in identifying and anticipating tipping phenomena across scales. Where satellite records are too short for temporal early warning of tipping points, complementary spatial indicators can leverage the exceptional spatial-temporal coverage of remotely sensed data to detect changing resilience of vulnerable systems. Combining Earth observation with Earth system models can improve process-based understanding of tipping points, their interactions, and potential tipping cascades. Such fine-resolution sensing can support climate tipping point risk management across scales.
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Affiliation(s)
| | - Jesse F Abrams
- Global Systems Institute, University of Exeter, Exeter, UK
| | - Annett Bartsch
- b.geos GmbH, Industriestrasse 1A, 2100, Korneuburg, Austria
- Austrian Polar Research Institute, Vienna, Austria
| | - Sebastian Bathiany
- Earth System Modelling, School of Engineering & Design, Technical University of Munich, Munich, Germany
- Potsdam Institute for Climate Impact Research, Potsdam, Germany
| | | | | | - Alessandra Conversi
- National Research Council of Italy, ISMAR-Lerici, Forte Santa Teresa, Loc. Pozzuolo, 19032, Lerici (SP), Italy
| | | | - Sophie Hebden
- Future Earth Secretariat, Stockholm, Sweden
- European Space Agency, ECSAT, Harwell, Oxfordshire, UK
| | | | | | - Andrew Shepherd
- Department of Geography and Environmental Sciences, Northumbria University, Newcastle, UK
| | - Taylor Smith
- Institute of Geosciences, University of Potsdam, Potsdam, Germany
| | - Didier Swingedouw
- University of Bordeaux, CNRS, Bordeaux INP, EPOC, UMR 5805, 33600, Pessac, France
| | | | - Niklas Boers
- Global Systems Institute, University of Exeter, Exeter, UK
- Earth System Modelling, School of Engineering & Design, Technical University of Munich, Munich, Germany
- Potsdam Institute for Climate Impact Research, Potsdam, Germany
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4
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Singh SS, Jeganathan C. Quantifying forest resilience post forest fire disturbances using time-series satellite data. Environ Monit Assess 2023; 196:26. [PMID: 38063924 DOI: 10.1007/s10661-023-12183-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Accepted: 11/22/2023] [Indexed: 12/18/2023]
Abstract
Quantification of forest resilience will help us to manage the sustainability of the forest environment and the safety of biodiversity. Measuring forest resilience is crucial for ensuring long-term health of the forest ecosystem in the face of ongoing environmental changes and disturbances. This study focuses on providing a framework to estimate forest resilience scores to assess the vegetation condition after a disturbance. The resilience calculation framework provided uses number of recovery days, the phenological performance level of vegetation in the year when the disturbance took place, long-term mean phenological performance, and greenness levels in subsequent year to calculate the final resilience score at each pixel. Recovery of forests using Landsat data with the help of Normalized Difference Vegetation Index or Normalized Burn Ratio poses a challenge for continuous monitoring of forested landscapes due to cloud cover and availability of scenes at continuous intervals in Landsat datasets. In this regard, MODIS 16-day EVI products were used in this study (2001 to 2020) for monitoring vegetation health before, during, and after the disaster. Bandhavgarh National Park (BNP) located in Madhya Pradesh, India is considered for this study as it witnessed major forest fire breakouts in the second half of March 2018. The objectives of the study are the following: (1) to estimate post-fire recovery days and (2) to formulate new resilience index. The study revealed that the northern part of BNP is more vulnerable and shows slow recovery. The relationship between occupation of people living inside and in the neighboring area with forest resilience is also investigated in this study.
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Affiliation(s)
- Sumedha Surbhi Singh
- Department of Remote Sensing, Birla Institute of Technology, Mesra, Ranchi, Jharkhand, India
| | - C Jeganathan
- Department of Remote Sensing, Birla Institute of Technology, Mesra, Ranchi, Jharkhand, India.
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Mitchell DR, Cairns SC, Körtner G, Bradshaw CJA, Saltré F, Weisbecker V. Differential developmental rates and demographics in Red Kangaroo ( Osphranter rufus) populations separated by the dingo barrier fence. J Mammal 2023; 104:929-940. [PMID: 37800099 PMCID: PMC10550248 DOI: 10.1093/jmammal/gyad053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Accepted: 04/27/2023] [Indexed: 10/07/2023] Open
Abstract
Decommissioning the dingo barrier fence has been suggested to reduce destructive dingo control and encourage a free transfer of biota between environments in Australia. Yet the potential impacts that over a century of predator exclusion might have had on the population dynamics and developmental biology of prey populations has not been assessed. We here combine demographic data and both linear and geometric morphometrics to assess differences in populations among 166 red kangaroos (Osphranter rufus)-a primary prey species of the dingo-from two isolated populations on either side of the fence. We also quantified the differences in aboveground vegetation biomass for the last 10 years on either side of the fence. We found that the age structure and growth patterns, but not cranial shape, differed between the two kangaroo populations. In the population living with a higher density of dingoes, there were relatively fewer females and juveniles. These individuals were larger for a given age, despite what seems to be lower vegetation biomass. However, how much of this biomass represented kangaroo forage is uncertain and requires further on-site assessments. We also identified unexpected differences in the ontogenetic trajectories in relative pes length between the sexes for the whole sample, possibly associated with male competition or differential weight-bearing mechanics. We discuss potential mechanisms behind our findings and suggest that the impacts of contrasting predation pressures across the fence, for red kangaroos and other species, merit further investigation.
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Affiliation(s)
- D Rex Mitchell
- College of Science and Engineering, Flinders University, GPO Box 2100, Adelaide, South Australia 5001, Australia
- Australian Research Council Centre of Excellence for Australian Biodiversity and Heritage, Wollongong, New South Wales 2522, Australia
| | - Stuart C Cairns
- Centre for Behavioural and Physiological Ecology, University of New England, Armidale, New South Wales 2350, Australia
| | - Gerhard Körtner
- Centre for Behavioural and Physiological Ecology, University of New England, Armidale, New South Wales 2350, Australia
| | - Corey J A Bradshaw
- Australian Research Council Centre of Excellence for Australian Biodiversity and Heritage, Wollongong, New South Wales 2522, Australia
- Global Ecology | Partuyarta Ngadluku Wardli Kuu, College of Science and Engineering, Flinders University, GPO Box 2100, Adelaide, South Australia 5001, Australia
| | - Frédérik Saltré
- College of Science and Engineering, Flinders University, GPO Box 2100, Adelaide, South Australia 5001, Australia
- Australian Research Council Centre of Excellence for Australian Biodiversity and Heritage, Wollongong, New South Wales 2522, Australia
- Global Ecology | Partuyarta Ngadluku Wardli Kuu, College of Science and Engineering, Flinders University, GPO Box 2100, Adelaide, South Australia 5001, Australia
| | - Vera Weisbecker
- College of Science and Engineering, Flinders University, GPO Box 2100, Adelaide, South Australia 5001, Australia
- Australian Research Council Centre of Excellence for Australian Biodiversity and Heritage, Wollongong, New South Wales 2522, Australia
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He S, Xiong K, Song S, Chi Y, Fang J, He C. Research Progress of Grassland Ecosystem Structure and Stability and Inspiration for Improving Its Service Capacity in the Karst Desertification Control. Plants (Basel) 2023; 12:770. [PMID: 36840118 PMCID: PMC9959505 DOI: 10.3390/plants12040770] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Revised: 02/04/2023] [Accepted: 02/05/2023] [Indexed: 06/18/2023]
Abstract
The structure and stability of grassland ecosystems have a significant impact on biodiversity, material cycling and productivity for ecosystem services. However, the issue of the structure and stability of grassland ecosystems has not been systematically reviewed. Based on the Web of Science (WOS) and China National Knowledge Infrastructure (CNKI) databases, we used the systematic-review method and screened 133 papers to describe and analyze the frontiers of research into the structure and stability of grassland ecosystems. The research results showed that: (1) The number of articles about the structure and stability of grassland ecosystems is gradually increasing, and the research themes are becoming increasingly diverse. (2) There is a high degree of consistency between the study area and the spatial distribution of grassland. (3) Based on the changes in ecosystem patterns and their interrelationships with ecosystem processes, we reviewed the research progress and landmark results on the structure, stability, structure-stability relationship and their influencing factors of grassland ecosystems; among them, the study of structure is the main research focus (51.12%), followed by the study of the influencing factors of structure and stability (37.57%). (4) Key scientific questions on structural optimization, stability enhancement and harmonizing the relationship between structure and stability are explored. (5) Based on the background of karst desertification control (KDC) and its geographical characteristics, three insights are proposed to optimize the spatial allocation, enhance the stability of grassland for rocky desertification control and coordinate the regulation mechanism of grassland structure and stability. This study provided some references for grassland managers and relevant policy makers to optimize the structure and enhance the stability of grassland ecosystems. It also provided important insights to enhance the service capacity of grassland ecosystems in KDC.
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Affiliation(s)
- Shuyu He
- School of Karst Science, Guizhou Normal University, Guiyang 550001, China
- State Engineering Technology Institute for Karst Desertification Control of China, 116 Baoshan North Road, Guiyang 550001, China
| | - Kangning Xiong
- School of Karst Science, Guizhou Normal University, Guiyang 550001, China
- State Engineering Technology Institute for Karst Desertification Control of China, 116 Baoshan North Road, Guiyang 550001, China
| | - Shuzhen Song
- School of Karst Science, Guizhou Normal University, Guiyang 550001, China
- State Engineering Technology Institute for Karst Desertification Control of China, 116 Baoshan North Road, Guiyang 550001, China
| | - Yongkuan Chi
- School of Karst Science, Guizhou Normal University, Guiyang 550001, China
- State Engineering Technology Institute for Karst Desertification Control of China, 116 Baoshan North Road, Guiyang 550001, China
| | - Jinzhong Fang
- School of Karst Science, Guizhou Normal University, Guiyang 550001, China
- State Engineering Technology Institute for Karst Desertification Control of China, 116 Baoshan North Road, Guiyang 550001, China
| | - Chen He
- School of Karst Science, Guizhou Normal University, Guiyang 550001, China
- State Engineering Technology Institute for Karst Desertification Control of China, 116 Baoshan North Road, Guiyang 550001, China
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7
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Yang Y, Sun Y, Niu B, Feng Y, Han F, Li M. Increasing connections among temporal invariability, resistance and resilience of alpine grasslands on the Tibetan Plateau. Front Plant Sci 2022; 13:1026731. [PMID: 36438152 PMCID: PMC9682138 DOI: 10.3389/fpls.2022.1026731] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Accepted: 10/21/2022] [Indexed: 06/16/2023]
Abstract
Ecological stability contains multiple components, such as temporal invariability, resistance and resilience. Understanding the response of stability components to perturbations is beneficial for optimizing the management of biodiversity and ecosystem functioning. Although previous studies have investigated the effects of multiple perturbations on each stability component, few studies simultaneously measure the multiple stability components and their relationships. Alpine grasslands on the Tibetan Plateau are exposed to co-occurring perturbations, including climate change and human activities. Here, we quantified three stability components (temporal invariability, resistance, and resilience) of alpine grasslands on the Tibetan Plateau during periods of high (2000-2008) and low (2009-2017) human activity intensity, respectively. We focused on the effects of climate variables (temperature, precipitation, radiation) and human activities (grazing intensity) on covariation among stability components. The results show that (1) for periods of high and low human activity, temporal invariability was positively correlated with resistance and resilience, while resistance was independent of resilience; (2) the dimensionality of alpine grasslands decreased by almost 10%, from 0.61 in the first period to 0.55 in the second period, suggesting the increasing connections among temporal invariability, resistance and resilience of alpine grasslands; and (3) temperature but not grazing intensity dominated the changes in the dimensionality of stability. These findings improve our understanding of multi-dimensional stability and highlight the importance of climate variability on alpine grassland stability on the Tibetan Plateau.
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Affiliation(s)
- Yuting Yang
- School of Geographic Sciences, Nantong University, Nantong, China
| | - Yi Sun
- School of Geographic Sciences, Nantong University, Nantong, China
| | - Ben Niu
- Lhasa National Ecological Research Station, Key Laboratory of Ecosystem Network Observation and Modelling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
| | - Yunfei Feng
- Department of Resource Management, Tangshan Normal University, Tangshan, China
| | - Fusong Han
- Lhasa National Ecological Research Station, Key Laboratory of Ecosystem Network Observation and Modelling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
| | - Meng Li
- School of Geographic Sciences, Nantong University, Nantong, China
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Lenton TM, Buxton JE, Armstrong McKay DI, Abrams JF, Boulton CA, Lees K, Powell TWR, Boers N, Cunliffe AM, Dakos V. A resilience sensing system for the biosphere. Philos Trans R Soc Lond B Biol Sci 2022; 377:20210383. [PMID: 35757883 PMCID: PMC9234808 DOI: 10.1098/rstb.2021.0383] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Accepted: 02/28/2022] [Indexed: 12/14/2022] Open
Abstract
We are in a climate and ecological emergency, where climate change and direct anthropogenic interference with the biosphere are risking abrupt and/or irreversible changes that threaten our life-support systems. Efforts are underway to increase the resilience of some ecosystems that are under threat, yet collective awareness and action are modest at best. Here, we highlight the potential for a biosphere resilience sensing system to make it easier to see where things are going wrong, and to see whether deliberate efforts to make things better are working. We focus on global resilience sensing of the terrestrial biosphere at high spatial and temporal resolution through satellite remote sensing, utilizing the generic mathematical behaviour of complex systems-loss of resilience corresponds to slower recovery from perturbations, gain of resilience equates to faster recovery. We consider what subset of biosphere resilience remote sensing can monitor, critically reviewing existing studies. Then we present illustrative, global results for vegetation resilience and trends in resilience over the last 20 years, from both satellite data and model simulations. We close by discussing how resilience sensing nested across global, biome-ecoregion, and local ecosystem scales could aid management and governance at these different scales, and identify priorities for further work. This article is part of the theme issue 'Ecological complexity and the biosphere: the next 30 years'.
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Affiliation(s)
| | - Joshua E. Buxton
- Global Systems Institute, University of Exeter, Exeter EX4 4QE, UK
| | - David I. Armstrong McKay
- Global Systems Institute, University of Exeter, Exeter EX4 4QE, UK
- Stockholm Resilience Centre, Stockholm University, Stockholm, Sweden
| | - Jesse F. Abrams
- Global Systems Institute, University of Exeter, Exeter EX4 4QE, UK
- Institute for Data Science and Artificial Intelligence, University of Exeter, Exeter EX4 4QF, UK
| | - Chris A. Boulton
- Global Systems Institute, University of Exeter, Exeter EX4 4QE, UK
| | - Kirsten Lees
- Global Systems Institute, University of Exeter, Exeter EX4 4QE, UK
- Environmental Sustainability Research Centre, University of Derby, Derby DE22 1GB, UK
| | | | - Niklas Boers
- Global Systems Institute, University of Exeter, Exeter EX4 4QE, UK
- School of Engineering and Design, Earth System Modelling, Technical University of Munich, Munich, Germany
- Potsdam Institute for Climate Impact Research, Potsdam, Germany
| | | | - Vasilis Dakos
- ISEM, University of Montpellier, CNRS, EPHE, IRD, Montpellier, France
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Hu Y, Xiang W, Schäfer KVR, Lei P, Deng X, Forrester DI, Fang X, Zeng Y, Ouyang S, Chen L, Peng C. Photosynthetic and hydraulic traits influence forest resistance and resilience to drought stress across different biomes. Sci Total Environ 2022; 828:154517. [PMID: 35278541 DOI: 10.1016/j.scitotenv.2022.154517] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/11/2022] [Revised: 03/07/2022] [Accepted: 03/08/2022] [Indexed: 06/14/2023]
Abstract
Drought events lead to depressions in gross primary productivity (GPP) of forest ecosystems. Photosynthetic and hydraulic traits are important factors governing GPP variation. However, how these functional traits affect GPP responses to drought has not been well understood. We quantified the capacity of GPP to withstand changes during droughts (GPP_resistance) and its post-drought responses (GPP_resilience) using eddy covariance data from the FLUXNET2015 dataset, and investigated how functional traits of dominant tree species that comprised >80% of the biomass (or composition) influenced GPP_resistance or GPP_resilience. Light-saturated photosynthetic rate of dominant tree species was negatively related to GPP_resistance, and was positively correlated with GPP_resilience. Forests dominated by species with higher hydraulic safety margins (HSM), smaller vessel diameter (Vdia) and lower sensitivity of canopy stomatal conductance per unit land area (Gs) to droughts had a higher GPP_resistance, while those dominated by species with lower HSM, larger Vdia and higher sensitivity of Gs to droughts exhibited a higher GPP_resilience. Differences in functional traits of forests located in diverse climate regions led to distinct GPP sensitivities to droughts. Forests located in humid regions had a higher GPP_resilience while those in arid regions exhibited a higher GPP_resistance. Forest GPP_resistance was negatively related to drought intensity, and GPP_resilience was negatively related to drought duration. Our findings highlight the significant role of functional traits in governing forest resistance and resilience to droughts. Overall, forests dominated by species with higher hydraulic safety were more resistant to droughts, while forests containing species with higher photosynthetic and hydraulic efficiency recovered better from drought stress.
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Affiliation(s)
- Yanting Hu
- Faculty of Life Science and Technology, Central South University of Forestry and Technology, Changsha, China; Huitong National Station for Scientific Observation and Research of Chinese Fir Plantation Ecosystems in Hunan Province, Huitong, China
| | - Wenhua Xiang
- Faculty of Life Science and Technology, Central South University of Forestry and Technology, Changsha, China; Huitong National Station for Scientific Observation and Research of Chinese Fir Plantation Ecosystems in Hunan Province, Huitong, China.
| | - Karina V R Schäfer
- Department of Earth and Environmental Sciences, Rutgers University, 195 University Avenue, Newark 07102, NJ, USA
| | - Pifeng Lei
- Faculty of Life Science and Technology, Central South University of Forestry and Technology, Changsha, China; Huitong National Station for Scientific Observation and Research of Chinese Fir Plantation Ecosystems in Hunan Province, Huitong, China
| | - Xiangwen Deng
- Faculty of Life Science and Technology, Central South University of Forestry and Technology, Changsha, China; Huitong National Station for Scientific Observation and Research of Chinese Fir Plantation Ecosystems in Hunan Province, Huitong, China
| | - David I Forrester
- Swiss Federal Institute of Forest Snow and Landscape Research WSL, Zürcherstrasse 111, 8903 Birmensdorf, Switzerland
| | - Xi Fang
- Faculty of Life Science and Technology, Central South University of Forestry and Technology, Changsha, China; Huitong National Station for Scientific Observation and Research of Chinese Fir Plantation Ecosystems in Hunan Province, Huitong, China
| | - Yelin Zeng
- Faculty of Life Science and Technology, Central South University of Forestry and Technology, Changsha, China; Huitong National Station for Scientific Observation and Research of Chinese Fir Plantation Ecosystems in Hunan Province, Huitong, China
| | - Shuai Ouyang
- Faculty of Life Science and Technology, Central South University of Forestry and Technology, Changsha, China; Huitong National Station for Scientific Observation and Research of Chinese Fir Plantation Ecosystems in Hunan Province, Huitong, China
| | - Liang Chen
- Faculty of Life Science and Technology, Central South University of Forestry and Technology, Changsha, China; Huitong National Station for Scientific Observation and Research of Chinese Fir Plantation Ecosystems in Hunan Province, Huitong, China
| | - Changhui Peng
- Department of Biological Sciences, Institute of Environment Sciences, University of Quebec at Montreal, Montreal, Quebec H3C 3P8, Canada
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White HJ, Gaul W, León‐Sánchez L, Sadykova D, Emmerson MC, Caplat P, Yearsley JM. Ecosystem stability at the landscape scale is primarily associated with climatic history. Funct Ecol 2021. [DOI: 10.1111/1365-2435.13957] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Hannah J. White
- School of Life Sciences Anglia Ruskin University Cambridge UK
- School of Biology and Environmental Science University College Dublin Dublin Ireland
- Earth Institute University College Dublin Dublin Ireland
| | - Willson Gaul
- School of Biology and Environmental Science University College Dublin Dublin Ireland
- Earth Institute University College Dublin Dublin Ireland
| | | | - Dinara Sadykova
- School of Biological Sciences Queen's University Belfast Belfast UK
- Centre for Ecology and Hydrology Wallingford UK
| | - Mark C. Emmerson
- School of Biological Sciences Queen's University Belfast Belfast UK
- Institute of Global Food Security (IGFS) Queen's University Belfast Belfast UK
| | - Paul Caplat
- School of Biological Sciences Queen's University Belfast Belfast UK
- Institute of Global Food Security (IGFS) Queen's University Belfast Belfast UK
- Centre for Environmental and Climate Research Lund University Lund Sweden
| | - Jon M. Yearsley
- School of Biology and Environmental Science University College Dublin Dublin Ireland
- Earth Institute University College Dublin Dublin Ireland
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