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Rius BF, Filho JPD, Fleischer K, Hofhansl F, Blanco CC, Rammig A, Domingues TF, Lapola DM. Higher functional diversity improves modeling of Amazon forest carbon storage. Ecol Modell 2023. [DOI: 10.1016/j.ecolmodel.2023.110323] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/14/2023]
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2
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Ecosystem Productivity and Evapotranspiration Are Tightly Coupled in Loblolly Pine (Pinus taeda L.) Plantations along the Coastal Plain of the Southeastern U.S. FORESTS 2021. [DOI: 10.3390/f12081123] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Forest water use efficiency (WUE), the ratio of gross primary productivity (GPP) to evapotranspiration (ET), is an important variable to understand the coupling between water and carbon cycles, and to assess resource use, ecosystem resilience, and commodity production. Here, we determined WUE for managed loblolly pine plantations over the course of a rotation on the coastal plain of North Carolina in the eastern U.S. We found that the forest annual GPP, ET, and WUE increased until age ten, which stabilized thereafter. WUE varied annually (2–44%), being higher at young plantation (YP, 3.12 ± 1.20 g C kg−1 H2O d−1) compared to a mature plantation (MP, 2.92 ± 0.45 g C kg−1 H2O d−1), with no distinct seasonal patterns. Stand age was strongly correlated with ET (R2 = 0.71) and GPP (R2 = 0.64). ET and GPP were tightly coupled (R2 = 0.86). Radiation and air temperature significantly affected GPP and ET (R2 = 0.71 − R2 = 0.82) at a monthly scale, but not WUE. Drought affected WUE (R2 = 0.35) more than ET (R2 = 0.25) or GPP (R2 = 0.07). A drought enhanced GPP in MP (19%) and YP (11%), but reduced ET 7% and 19% in MP and YP, respectively, resulting in a higher WUE (27–32%). Minor seasonal and interannual variation in forest WUE of MP (age > 10) suggested that forest functioning became stable as stands matured. We conclude that carbon and water cycles in loblolly pine plantations are tightly coupled, with different characteristics in different ages and hydrologic regimes. A stable WUE suggests that the pine ecosystem productivity can be readily predicted from ET and vice versa. The tradeoffs between water and carbon cycling should be recognized in forest management to achieve multiple ecosystem services (i.e., water supply and carbon sequestration).
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Yuan F, Liu J, Zuo Y, Guo Z, Wang N, Song C, Wang Z, Sun L, Guo Y, Song Y, Mao D, Xu F, Xu X. Rising vegetation activity dominates growing water use efficiency in the Asian permafrost region from 1900 to 2100. THE SCIENCE OF THE TOTAL ENVIRONMENT 2020; 736:139587. [PMID: 32492611 DOI: 10.1016/j.scitotenv.2020.139587] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/10/2020] [Revised: 05/19/2020] [Accepted: 05/19/2020] [Indexed: 06/11/2023]
Abstract
Permafrost play an important role in regulating global climate system. We analyzed the gross primary productivity (GPP), net primary productivity (NPP), and evapotranspiration (ET) derived from MODIS and three earth system models participated in the Coupled Model Inter-comparison Project Phase 6 (CMIP6) in the Asian permafrost region. The water use efficiency (WUE) was further computed. The simulated GPP, NPP, and ET show slightly increasing trends during historical period (1900-2014) and strong increasing trends in projection period (2015-2100), and projected impacts of climate change on all variables are greater under high-emission scenarios than low-emission scenarios. Further analysis revealed higher increases in GPP and NPP than that of ET, indicating that vegetation carbon sequestration governs the growing WUE under historical and projected periods in this region. The GPP, NPP and ET showed higher changing rates in western, central and southeast areas of this region, and WUE (WUEGPP, and WUENPP) shows the similar spatial pattern. Compared to MODIS-derived GPP, NPP, and ET during 2000-2014, Earth system models yield the best estimates for NPP, while slight underestimations for GPP and ET, and thus slight overestimations for WUEGPP and WUENPP. This study highlights the predominant role of vegetation activity in regulating regional WUE in Asian permafrost region under future climate change. Vegetation domination of the growing water use efficiency implies that the permafrost region may continue acting efficiently in sequestrating atmospheric carbon in terms of water consumption throughout the 21st century.
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Affiliation(s)
- Fenghui Yuan
- Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China; Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China; Biology Department, San Diego State University, San Diego, CA 92182, USA
| | - Jianzhao Liu
- Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China
| | - Yunjiang Zuo
- Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China; University of Chinese Academy of Sciences, Beijing 100080, China
| | - Ziyu Guo
- Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China
| | - Nannan Wang
- Biology Department, San Diego State University, San Diego, CA 92182, USA; State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China; University of Chinese Academy of Sciences, Beijing 100080, China
| | - Changchun Song
- Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China
| | - Zongming Wang
- Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China
| | - Li Sun
- Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China
| | - Yuedong Guo
- Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China
| | - Yanyu Song
- Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China
| | - Dehua Mao
- Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China
| | - Feifan Xu
- Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China
| | - Xiaofeng Xu
- Biology Department, San Diego State University, San Diego, CA 92182, USA.
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Paschalis A, Fatichi S, Zscheischler J, Ciais P, Bahn M, Boysen L, Chang J, De Kauwe M, Estiarte M, Goll D, Hanson PJ, Harper AB, Hou E, Kigel J, Knapp AK, Larsen KS, Li W, Lienert S, Luo Y, Meir P, Nabel JEMS, Ogaya R, Parolari AJ, Peng C, Peñuelas J, Pongratz J, Rambal S, Schmidt IK, Shi H, Sternberg M, Tian H, Tschumi E, Ukkola A, Vicca S, Viovy N, Wang YP, Wang Z, Williams K, Wu D, Zhu Q. Rainfall manipulation experiments as simulated by terrestrial biosphere models: Where do we stand? GLOBAL CHANGE BIOLOGY 2020; 26:3336-3355. [PMID: 32012402 DOI: 10.1111/gcb.15024] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/09/2019] [Accepted: 01/22/2020] [Indexed: 06/10/2023]
Abstract
Changes in rainfall amounts and patterns have been observed and are expected to continue in the near future with potentially significant ecological and societal consequences. Modelling vegetation responses to changes in rainfall is thus crucial to project water and carbon cycles in the future. In this study, we present the results of a new model-data intercomparison project, where we tested the ability of 10 terrestrial biosphere models to reproduce the observed sensitivity of ecosystem productivity to rainfall changes at 10 sites across the globe, in nine of which, rainfall exclusion and/or irrigation experiments had been performed. The key results are as follows: (a) Inter-model variation is generally large and model agreement varies with timescales. In severely water-limited sites, models only agree on the interannual variability of evapotranspiration and to a smaller extent on gross primary productivity. In more mesic sites, model agreement for both water and carbon fluxes is typically higher on fine (daily-monthly) timescales and reduces on longer (seasonal-annual) scales. (b) Models on average overestimate the relationship between ecosystem productivity and mean rainfall amounts across sites (in space) and have a low capacity in reproducing the temporal (interannual) sensitivity of vegetation productivity to annual rainfall at a given site, even though observation uncertainty is comparable to inter-model variability. (c) Most models reproduced the sign of the observed patterns in productivity changes in rainfall manipulation experiments but had a low capacity in reproducing the observed magnitude of productivity changes. Models better reproduced the observed productivity responses due to rainfall exclusion than addition. (d) All models attribute ecosystem productivity changes to the intensity of vegetation stress and peak leaf area, whereas the impact of the change in growing season length is negligible. The relative contribution of the peak leaf area and vegetation stress intensity was highly variable among models.
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Affiliation(s)
- Athanasios Paschalis
- Department of Civil and Environmental Engineering, Imperial College London, London, UK
| | - Simone Fatichi
- Institute of Environmental Engineering, ETH Zurich, Zurich, Switzerland
| | - Jakob Zscheischler
- Climate and Environmental Physics, University of Bern, Bern, Switzerland
- Oeschger Centre for Climate Change Research, University of Bern, Bern, Switzerland
| | - Philippe Ciais
- Laboratoire des Sciences du Climat et de l'Environnement, Gif sur Yvette, France
| | - Michael Bahn
- Department of Ecology, University of Innsbruck, Innsbruck, Austria
| | - Lena Boysen
- Max Planck Institute for Meteorology, Hamburg, Germany
| | - Jinfeng Chang
- Laboratoire des Sciences du Climat et de l'Environnement, Gif sur Yvette, France
| | - Martin De Kauwe
- ARC Centre of Excellence for Climate Extremes, University of New South Wales, Sydney, NSW, Australia
| | - Marc Estiarte
- CSIC, Global Ecology Unit CREAF-CSIC-UAB, Bellaterra, Catalonia, Spain
- CREAF, Cerdanyola del Vallès, Catalonia, Spain
| | - Daniel Goll
- Laboratoire des Sciences du Climat et de l'Environnement, Gif sur Yvette, France
- Department of Geography, University of Augsburg, Augsburg, Germany
| | - Paul J Hanson
- Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
| | - Anna B Harper
- Department of Mathematics, University of Exeter, Exeter, UK
| | - Enqing Hou
- Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ, USA
| | - Jaime Kigel
- Institute for Plant Sciences and Genetics, Faculty of Agriculture, Food and Environment, The Hebrew University of Jerusalem, Rehovot, Israel
| | - Alan K Knapp
- Graduate Degree Program in Ecology, Department of Biology, Colorado State University, Fort Collins, CO, USA
| | - Klaus S Larsen
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Frederiksberg C, Denmark
| | - Wei Li
- Laboratoire des Sciences du Climat et de l'Environnement, Gif sur Yvette, France
- Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, China
| | - Sebastian Lienert
- Climate and Environmental Physics, University of Bern, Bern, Switzerland
- Oeschger Centre for Climate Change Research, University of Bern, Bern, Switzerland
| | - Yiqi Luo
- Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ, USA
| | - Patrick Meir
- Research School of Biology, Australian National University, Acton, ACT, Australia
- School of Geosciences, University of Edinburgh, Edinburgh, UK
| | | | - Romà Ogaya
- CSIC, Global Ecology Unit CREAF-CSIC-UAB, Bellaterra, Catalonia, Spain
- CREAF, Cerdanyola del Vallès, Catalonia, Spain
| | - Anthony J Parolari
- Department of Civil, Construction, and Environmental Engineering, Marquette University, Milwaukee, WI, USA
| | - Changhui Peng
- Department of Biology Sciences, University of Quebec at Montreal, Montreal, QC, Canada
| | - Josep Peñuelas
- CSIC, Global Ecology Unit CREAF-CSIC-UAB, Bellaterra, Catalonia, Spain
- CREAF, Cerdanyola del Vallès, Catalonia, Spain
| | - Julia Pongratz
- Department of Geography, Ludwig Maximilian University of Munich, Munchen, Germany
| | - Serge Rambal
- Centre d'Ecologie Fonctionnelle et Evolutive (CEFE), UMR5175, CNRS, Université de Montpellier, Université Paul-Valéry Montpellier, EPHE, Montpellier, France
| | - Inger K Schmidt
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Frederiksberg C, Denmark
| | - Hao Shi
- International Center for Climate and Global Change Research, School of Forestry and Wildlife Sciences, Auburn University, Auburn, AL, USA
| | - Marcelo Sternberg
- School of Plant Sciences and Food Security, Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel
| | - Hanqin Tian
- International Center for Climate and Global Change Research, School of Forestry and Wildlife Sciences, Auburn University, Auburn, AL, USA
| | - Elisabeth Tschumi
- Climate and Environmental Physics, University of Bern, Bern, Switzerland
- Oeschger Centre for Climate Change Research, University of Bern, Bern, Switzerland
| | - Anna Ukkola
- ARC Centre of Excellence for Climate Extremes, University of New South Wales, Sydney, NSW, Australia
| | - Sara Vicca
- Centre of Excellence PLECO (Plants and Ecosystems), Biology Department, University of Antwerp, Wilrijk, Belgium
| | - Nicolas Viovy
- Laboratoire des Sciences du Climat et de l'Environnement, Gif sur Yvette, France
| | - Ying-Ping Wang
- CSIRO Marine and Atmospheric Research and Centre for Australian Weather and Climate Research, Aspendale, Vic., Australia
| | - Zhuonan Wang
- International Center for Climate and Global Change Research, School of Forestry and Wildlife Sciences, Auburn University, Auburn, AL, USA
| | | | - Donghai Wu
- Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing, China
| | - Qiuan Zhu
- Center for Ecological Forecasting and Global Change, College of Forestry, Northwest A&F University, Xianyang, China
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Hu A, Nie Y, Yu G, Han C, He J, He N, Liu S, Deng J, Shen W, Zhang G. Diurnal Temperature Variation and Plants Drive Latitudinal Patterns in Seasonal Dynamics of Soil Microbial Community. Front Microbiol 2019; 10:674. [PMID: 31001239 PMCID: PMC6454054 DOI: 10.3389/fmicb.2019.00674] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2018] [Accepted: 03/18/2019] [Indexed: 12/27/2022] Open
Abstract
Seasonality, an exogenous driver, motivates the biological and ecological temporal dynamics of animal and plant communities. Underexplored microbial temporal endogenous dynamics hinders the prediction of microbial response to climate change. To elucidate temporal dynamics of microbial communities, temporal turnover rates, phylogenetic relatedness, and species interactions were integrated to compare those of a series of forest ecosystems along latitudinal gradients. The seasonal turnover rhythm of microbial communities, estimated by the slope (w value) of similarity-time decay relationship, was spatially structured across the latitudinal gradient, which may be caused by a mixture of both diurnal temperature variation and seasonal patterns of plants. Statistical analyses revealed that diurnal temperature variation instead of average temperature imposed a positive and considerable effect alone and also jointly with plants. Due to higher diurnal temperature variation with more climatic niches, microbial communities might evolutionarily adapt into more dispersed phylogenetic assembly based on the standardized effect size of MNTD metric, and ecologically form higher community resistance and resiliency with stronger network interactions among species. Archaea and the bacterial groups of Chloroflexi, Alphaproteobacteria, and Deltaproteobacteria were sensitive to diurnal temperature variation with greater turnover rates at higher latitudes, indicating that greater diurnal temperature fluctuation imposes stronger selective pressure on thermal specialists, because bacteria and archaea, single-celled organisms, have extreme short generation period compared to animal and plant. Our findings thus illustrate that the dynamics of microbial community and species interactions are crucial to assess ecosystem stability to climate variations in an increased climatic variability era.
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Affiliation(s)
- Ang Hu
- Key Laboratory of Alpine Ecology and Biodiversity, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China.,College of Resources and Environment, Hunan Agricultural University, Changsha, China
| | - Yanxia Nie
- Center for Ecology and Environmental Sciences, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, China
| | - Guirui Yu
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
| | - Conghai Han
- Key Laboratory of Alpine Ecology and Biodiversity, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China
| | - Jinhong He
- Center for Ecology and Environmental Sciences, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, China
| | - Nianpeng He
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
| | - Shirong Liu
- Key Laboratory of Forest Ecology and Environment, Chinese Academy of Forestry, Beijing, China
| | - Jie Deng
- School of Ecological and Environmental Sciences, East China Normal University, Shanghai, China
| | - Weijun Shen
- Center for Ecology and Environmental Sciences, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, China
| | - Gengxin Zhang
- Key Laboratory of Alpine Ecology and Biodiversity, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China
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6
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Rowland L, da Costa ACL, Oliveira AAR, Oliveira RS, Bittencourt PL, Costa PB, Giles AL, Sosa AI, Coughlin I, Godlee JL, Vasconcelos SS, Junior JAS, Ferreira LV, Mencuccini M, Meir P. Drought stress and tree size determine stem CO 2 efflux in a tropical forest. THE NEW PHYTOLOGIST 2018; 218:1393-1405. [PMID: 29397028 PMCID: PMC5969101 DOI: 10.1111/nph.15024] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/11/2017] [Accepted: 12/22/2017] [Indexed: 05/10/2023]
Abstract
CO2 efflux from stems (CO2_stem ) accounts for a substantial fraction of tropical forest gross primary productivity, but the climate sensitivity of this flux remains poorly understood. We present a study of tropical forest CO2_stem from 215 trees across wet and dry seasons, at the world's longest running tropical forest drought experiment site. We show a 27% increase in wet season CO2_stem in the droughted forest relative to a control forest. This was driven by increasing CO2_stem in trees 10-40 cm diameter. Furthermore, we show that drought increases the proportion of maintenance to growth respiration in trees > 20 cm diameter, including large increases in maintenance respiration in the largest droughted trees, > 40 cm diameter. However, we found no clear taxonomic influence on CO2_stem and were unable to accurately predict how drought sensitivity altered ecosystem scale CO2_stem , due to substantial uncertainty introduced by contrasting methods previously employed to scale CO2_stem fluxes. Our findings indicate that under future scenarios of elevated drought, increases in CO2_stem may augment carbon losses, weakening or potentially reversing the tropical forest carbon sink. However, due to substantial uncertainties in scaling CO2_stem fluxes, stand-scale future estimates of changes in stem CO2 emissions remain highly uncertain.
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Affiliation(s)
- Lucy Rowland
- College of Life and Environmental SciencesUniversity of ExeterExeterEX4 4RJUK
| | | | | | | | | | | | | | - Azul I. Sosa
- Instituto de BiologiaUNICAMPCampinasSP13083‐970Brasil
| | - Ingrid Coughlin
- Departamento de BiologiaFFCLRPUniversidade de São PauloRibeirão PretoSP14040‐900Brasil
| | - John L. Godlee
- School of GeoSciencesUniversity of EdinburghEdinburghEH9 3FFUK
| | | | - João A. S. Junior
- Instituto de GeosciênciasUniversidade Federal do ParáBelémPA66075‐110Brasil
| | | | | | - Patrick Meir
- School of GeoSciencesUniversity of EdinburghEdinburghEH9 3FFUK
- Research School of BiologyAustralian National UniversityCanberraACT2601Australia
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7
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Seasonal Effects on Microbial Community Structure and Nitrogen Dynamics in Temperate Forest Soil. FORESTS 2018. [DOI: 10.3390/f9030153] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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8
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Spatial Variation of Soil CO2, CH4 and N2O Fluxes Across Topographical Positions in Tropical Forests of the Guiana Shield. Ecosystems 2018. [DOI: 10.1007/s10021-018-0232-6] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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9
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Maréchaux I, Chave J. An individual-based forest model to jointly simulate carbon and tree diversity in Amazonia: description and applications. ECOL MONOGR 2017. [DOI: 10.1002/ecm.1271] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Affiliation(s)
- Isabelle Maréchaux
- CNRS; Université Toulouse 3 Paul Sabatier; ENFA; UMR5174 EDB (Laboratoire Évolution & Diversité Biologique); 118 route de Narbonne F-31062 Toulouse France
- AgroParisTech-ENGREF; 19 avenue du Maine F-75015 Paris France
| | - Jérôme Chave
- CNRS; Université Toulouse 3 Paul Sabatier; ENFA; UMR5174 EDB (Laboratoire Évolution & Diversité Biologique); 118 route de Narbonne F-31062 Toulouse France
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10
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Rowland L, Zaragoza‐Castells J, Bloomfield KJ, Turnbull MH, Bonal D, Burban B, Salinas N, Cosio E, Metcalfe DJ, Ford A, Phillips OL, Atkin OK, Meir P. Scaling leaf respiration with nitrogen and phosphorus in tropical forests across two continents. THE NEW PHYTOLOGIST 2017; 214:1064-1077. [PMID: 27159833 PMCID: PMC5412872 DOI: 10.1111/nph.13992] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/14/2016] [Accepted: 03/30/2016] [Indexed: 05/27/2023]
Abstract
Leaf dark respiration (Rdark ) represents an important component controlling the carbon balance in tropical forests. Here, we test how nitrogen (N) and phosphorus (P) affect Rdark and its relationship with photosynthesis using three widely separated tropical forests which differ in soil fertility. Rdark was measured on 431 rainforest canopy trees, from 182 species, in French Guiana, Peru and Australia. The variation in Rdark was examined in relation to leaf N and P content, leaf structure and maximum photosynthetic rates at ambient and saturating atmospheric CO2 concentration. We found that the site with the lowest fertility (French Guiana) exhibited greater rates of Rdark per unit leaf N, P and photosynthesis. The data from Australia, for which there were no phylogenetic overlaps with the samples from the South American sites, yielded the most distinct relationships of Rdark with the measured leaf traits. Our data indicate that no single universal scaling relationship accounts for variation in Rdark across this large biogeographical space. Variability between sites in the absolute rates of Rdark and the Rdark : photosynthesis ratio were driven by variations in N- and P-use efficiency, which were related to both taxonomic and environmental variability.
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Affiliation(s)
- Lucy Rowland
- School of GeosciencesUniversity of EdinburghEdinburghEH9 3JNUK
- GeographyCollege of Life and Environmental SciencesUniversity of ExeterAmory BuildingExeterEX4 4RJUK
| | - Joana Zaragoza‐Castells
- School of GeosciencesUniversity of EdinburghEdinburghEH9 3JNUK
- GeographyCollege of Life and Environmental SciencesUniversity of ExeterAmory BuildingExeterEX4 4RJUK
| | - Keith J. Bloomfield
- Division of Plant SciencesResearch School of BiologyAustralian National UniversityCanberra2601ACTAustralia
| | - Matthew H. Turnbull
- Centre for Integrative EcologySchool of Biological SciencesUniversity of CanterburyPrivate Bag4800ChristchurchNew Zealand
| | - Damien Bonal
- INRAUMR 1137 Ecologie et Ecophysiologie ForestieresChampenoux54280France
| | - Benoit Burban
- INRA UMR‐ECOFOGCampus agronomique ‐ BP 31697379KourouFrench GuianaFrance
| | - Norma Salinas
- Environmental Change InstituteSchool of Geography and the EnvironmentUniversity of OxfordSouth Parks RoadOxfordOX1 3QYUK
| | - Eric Cosio
- Pontificia Universidad Catolica del PeruSeccion QuimicaAv Universitaria 1801, San MiguelLimaPeru
| | - Daniel J. Metcalfe
- CSIROLand and WaterTropical Forest Research CentreAthertonQLD4883Australia
| | - Andrew Ford
- CSIROLand and WaterTropical Forest Research CentreAthertonQLD4883Australia
| | | | - Owen K. Atkin
- Division of Plant SciencesResearch School of BiologyAustralian National UniversityCanberra2601ACTAustralia
- ARC Centre of Excellence in Plant Energy BiologyDivision of Plant SciencesResearch School of BiologyAustralian National UniversityCanberra2601ACTAustralia
| | - Patrick Meir
- GeographyCollege of Life and Environmental SciencesUniversity of ExeterAmory BuildingExeterEX4 4RJUK
- Division of Plant SciencesResearch School of BiologyAustralian National UniversityCanberra2601ACTAustralia
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11
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Anderegg WRL, Martinez-Vilalta J, Cailleret M, Camarero JJ, Ewers BE, Galbraith D, Gessler A, Grote R, Huang CY, Levick SR, Powell TL, Rowland L, Sánchez-Salguero R, Trotsiuk V. When a Tree Dies in the Forest: Scaling Climate-Driven Tree Mortality to Ecosystem Water and Carbon Fluxes. Ecosystems 2016. [DOI: 10.1007/s10021-016-9982-1] [Citation(s) in RCA: 62] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
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12
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Huang W, Han T, Liu J, Wang G, Zhou G. Changes in soil respiration components and their specific respiration along three successional forests in the subtropics. Funct Ecol 2016. [DOI: 10.1111/1365-2435.12624] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Wenjuan Huang
- Key Laboratory of Vegetation Restoration and Management of Degraded Ecosystems South China Botanical Garden Chinese Academy of Sciences Guangzhou 510650 China
| | - Tianfeng Han
- Key Laboratory of Vegetation Restoration and Management of Degraded Ecosystems South China Botanical Garden Chinese Academy of Sciences Guangzhou 510650 China
| | - Juxiu Liu
- Key Laboratory of Vegetation Restoration and Management of Degraded Ecosystems South China Botanical Garden Chinese Academy of Sciences Guangzhou 510650 China
| | - Gangsheng Wang
- Climate Change Science Institute and Environmental Sciences Division Oak Ridge National Laboratory Oak Ridge TN37831‐6301 USA
| | - Guoyi Zhou
- Key Laboratory of Vegetation Restoration and Management of Degraded Ecosystems South China Botanical Garden Chinese Academy of Sciences Guangzhou 510650 China
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13
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Rowland L, Lobo‐do‐Vale RL, Christoffersen BO, Melém EA, Kruijt B, Vasconcelos SS, Domingues T, Binks OJ, Oliveira AAR, Metcalfe D, da Costa ACL, Mencuccini M, Meir P. After more than a decade of soil moisture deficit, tropical rainforest trees maintain photosynthetic capacity, despite increased leaf respiration. GLOBAL CHANGE BIOLOGY 2015; 21:4662-72. [PMID: 26179437 PMCID: PMC4989466 DOI: 10.1111/gcb.13035] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/27/2015] [Revised: 12/26/2014] [Accepted: 07/03/2015] [Indexed: 05/25/2023]
Abstract
Determining climate change feedbacks from tropical rainforests requires an understanding of how carbon gain through photosynthesis and loss through respiration will be altered. One of the key changes that tropical rainforests may experience under future climate change scenarios is reduced soil moisture availability. In this study we examine if and how both leaf photosynthesis and leaf dark respiration acclimate following more than 12 years of experimental soil moisture deficit, via a through-fall exclusion experiment (TFE) in an eastern Amazonian rainforest. We find that experimentally drought-stressed trees and taxa maintain the same maximum leaf photosynthetic capacity as trees in corresponding control forest, independent of their susceptibility to drought-induced mortality. We hypothesize that photosynthetic capacity is maintained across all treatments and taxa to take advantage of short-lived periods of high moisture availability, when stomatal conductance (gs ) and photosynthesis can increase rapidly, potentially compensating for reduced assimilate supply at other times. Average leaf dark respiration (Rd ) was elevated in the TFE-treated forest trees relative to the control by 28.2 ± 2.8% (mean ± one standard error). This mean Rd value was dominated by a 48.5 ± 3.6% increase in the Rd of drought-sensitive taxa, and likely reflects the need for additional metabolic support required for stress-related repair, and hydraulic or osmotic maintenance processes. Following soil moisture deficit that is maintained for several years, our data suggest that changes in respiration drive greater shifts in the canopy carbon balance, than changes in photosynthetic capacity.
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Affiliation(s)
- Lucy Rowland
- School of GeoSciencesUniversity of EdinburghEdinburghUK
| | | | - Bradley O. Christoffersen
- School of GeoSciencesUniversity of EdinburghEdinburghUK
- Earth and Environmental SciencesLos Alamos National LaboratoryLos AlamosCAUSA
| | | | - Bart Kruijt
- AlterraWageningen URWageningenthe Netherlands
| | | | - Tomas Domingues
- Departamento de BiologiaFFCLRP ‐ Universidade de São PauloRibeirão PretoBrasil
| | | | | | - Daniel Metcalfe
- Department of Physical Geography and Ecosystem ScienceLund UniversityLundSweden
| | | | - Maurizio Mencuccini
- School of GeoSciencesUniversity of EdinburghEdinburghUK
- ICREA at CREAF08193 Cerdanyola del VallésBarcelonaSpain
| | - Patrick Meir
- School of GeoSciencesUniversity of EdinburghEdinburghUK
- Research School of BiologyAustralian National UniversityCanberraAustralia
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Conversion of tropical lowland forest reduces nutrient return through litterfall, and alters nutrient use efficiency and seasonality of net primary production. Oecologia 2015; 180:601-18. [DOI: 10.1007/s00442-015-3481-5] [Citation(s) in RCA: 46] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2015] [Accepted: 10/10/2015] [Indexed: 11/26/2022]
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Bonal D, Burban B, Stahl C, Wagner F, Hérault B. The response of tropical rainforests to drought-lessons from recent research and future prospects. ANNALS OF FOREST SCIENCE 2015; 73:27-44. [PMID: 27069374 PMCID: PMC4810888 DOI: 10.1007/s13595-015-0522-5] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/03/2015] [Accepted: 08/24/2015] [Indexed: 05/10/2023]
Abstract
KEY MESSAGE We review the recent findings on the influence of drought on tree mortality, growth or ecosystem functioning in tropical rainforests. Drought plays a major role in shaping tropical rainforests and the response mechanisms are highly diverse and complex. The numerous gaps identified here require the international scientific community to combine efforts in order to conduct comprehensive studies in tropical rainforests on the three continents. These results are essential to simulate the future of these ecosystems under diverse climate scenarios and to predict the future of the global earth carbon balance. CONTEXT Tropical rainforest ecosystems are characterized by high annual rainfall. Nevertheless, rainfall regularly fluctuates during the year and seasonal soil droughts do occur. Over the past decades, a number of extreme droughts have hit tropical rainforests, not only in Amazonia but also in Asia and Africa. The influence of drought events on tree mortality and growth or on ecosystem functioning (carbon and water fluxes) in tropical rainforest ecosystems has been studied intensively, but the response mechanisms are complex. AIMS Herein, we review the recent findings related to the response of tropical forest ecosystems to seasonal and extreme droughts and the current knowledge about the future of these ecosystems. RESULTS This review emphasizes the progress made over recent years and the importance of the studies conducted under extreme drought conditions or in through-fall exclusion experiments in understanding the response of these ecosystems. It also points to the great diversity and complexity of the response of tropical rainforest ecosystems to drought. CONCLUSION The numerous gaps identified here require the international scientific community to combine efforts in order to conduct comprehensive studies in tropical forest regions. These results are essential to simulate the future of these ecosystems under diverse climate scenarios and to predict the future of the global earth carbon balance.
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Affiliation(s)
- Damien Bonal
- />INRA, UMR « Ecologie et Ecophysiologie Forestières », Université de Lorraine-INRA, F-54280 Champenoux, France
| | - Benoit Burban
- />INRA, UMR «Ecologie des Forêts de Guyane», AgroParisTech-CIRAD-INRA-CNRS-Université de Guyane-Université des Antilles, Campus Agronomique, 97387 Kourou, Guyane Française France
| | - Clément Stahl
- />CIRAD, UMR « Ecologie des Forêts de Guyane », AgroParisTech- CIRAD-INRA-CNRS-Université de Guyane-Université des Antilles, Campus Agronomique, 97387 Kourou, Guyane Française France
- />University of Antwerpen, Campus Agronomique, 97387 Kourou, Guyane Française France
| | - Fabien Wagner
- />National Institute for Space Research (INPE), São José dos Campos, SP 12227-010 Brazil
| | - Bruno Hérault
- />CIRAD, UMR « Ecologie des Forêts de Guyane », AgroParisTech- CIRAD-INRA-CNRS-Université de Guyane-Université des Antilles, Campus Agronomique, 97387 Kourou, Guyane Française France
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Meir P, Wood TE, Galbraith DR, Brando PM, Da Costa ACL, Rowland L, Ferreira LV. Threshold Responses to Soil Moisture Deficit by Trees and Soil in Tropical Rain Forests: Insights from Field Experiments. Bioscience 2015; 65:882-892. [PMID: 26955085 PMCID: PMC4777016 DOI: 10.1093/biosci/biv107] [Citation(s) in RCA: 87] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Many tropical rain forest regions are at risk of increased future drought. The net effects of drought on forest ecosystem functioning will be substantial if important ecological thresholds are passed. However, understanding and predicting these effects is challenging using observational studies alone. Field-based rainfall exclusion (canopy throughfall exclusion; TFE) experiments can offer mechanistic insight into the response to extended or severe drought and can be used to help improve model-based simulations, which are currently inadequate. Only eight TFE experiments have been reported for tropical rain forests. We examine them, synthesizing key results and focusing on two processes that have shown threshold behavior in response to drought: (1) tree mortality and (2) the efflux of carbon dioxdie from soil, soil respiration. We show that: (a) where tested using large-scale field experiments, tropical rain forest tree mortality is resistant to long-term soil moisture deficit up to a threshold of 50% of the water that is extractable by vegetation from the soil, but high mortality occurs beyond this value, with evidence from one site of increased autotrophic respiration, and (b) soil respiration reaches its peak value in response to soil moisture at significantly higher soil moisture content for clay-rich soils than for clay-poor soils. This first synthesis of tropical TFE experiments offers the hypothesis that low soil moisture–related thresholds for key stress responses in soil and vegetation may prove to be widely applicable across tropical rain forests despite the diversity of these forests.
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Affiliation(s)
- Patrick Meir
- Patrick Meir is affiliated with the Research School of Biology at Australian National University, in Canberra, and with the School of Geosciences at the University of Edinburgh, in the United Kingdom. Tana E. Wood is affiliated with the US Department of Agriculture Forest Service's International Institute of Tropical Forestry, in Rio Piedras, Puerto Rico, and with the Fundación Puertorriqueña de Conservación, in San Juan, Puerto Rico. David R. Galbraith is affiliated with the School of Geography at the University of Leeds, in the United Kingdom. Paulo M. Brando is with the Instituto Pesquisa Ambiental Amazonia, in Belém, Brazil. Antonio C. L. da Costa is affiliated with the Universidade Federal de Para, in Belém, Brazil. Lucy Rowland is with the Research School of Biology at Australian National University, in Canberra. Leandro V. Ferreira is affiliated with the Museu Paraense Emílio Goeldi, in Belém, Brazil
| | - Tana E Wood
- Patrick Meir is affiliated with the Research School of Biology at Australian National University, in Canberra, and with the School of Geosciences at the University of Edinburgh, in the United Kingdom. Tana E. Wood is affiliated with the US Department of Agriculture Forest Service's International Institute of Tropical Forestry, in Rio Piedras, Puerto Rico, and with the Fundación Puertorriqueña de Conservación, in San Juan, Puerto Rico. David R. Galbraith is affiliated with the School of Geography at the University of Leeds, in the United Kingdom. Paulo M. Brando is with the Instituto Pesquisa Ambiental Amazonia, in Belém, Brazil. Antonio C. L. da Costa is affiliated with the Universidade Federal de Para, in Belém, Brazil. Lucy Rowland is with the Research School of Biology at Australian National University, in Canberra. Leandro V. Ferreira is affiliated with the Museu Paraense Emílio Goeldi, in Belém, Brazil
| | - David R Galbraith
- Patrick Meir is affiliated with the Research School of Biology at Australian National University, in Canberra, and with the School of Geosciences at the University of Edinburgh, in the United Kingdom. Tana E. Wood is affiliated with the US Department of Agriculture Forest Service's International Institute of Tropical Forestry, in Rio Piedras, Puerto Rico, and with the Fundación Puertorriqueña de Conservación, in San Juan, Puerto Rico. David R. Galbraith is affiliated with the School of Geography at the University of Leeds, in the United Kingdom. Paulo M. Brando is with the Instituto Pesquisa Ambiental Amazonia, in Belém, Brazil. Antonio C. L. da Costa is affiliated with the Universidade Federal de Para, in Belém, Brazil. Lucy Rowland is with the Research School of Biology at Australian National University, in Canberra. Leandro V. Ferreira is affiliated with the Museu Paraense Emílio Goeldi, in Belém, Brazil
| | - Paulo M Brando
- Patrick Meir is affiliated with the Research School of Biology at Australian National University, in Canberra, and with the School of Geosciences at the University of Edinburgh, in the United Kingdom. Tana E. Wood is affiliated with the US Department of Agriculture Forest Service's International Institute of Tropical Forestry, in Rio Piedras, Puerto Rico, and with the Fundación Puertorriqueña de Conservación, in San Juan, Puerto Rico. David R. Galbraith is affiliated with the School of Geography at the University of Leeds, in the United Kingdom. Paulo M. Brando is with the Instituto Pesquisa Ambiental Amazonia, in Belém, Brazil. Antonio C. L. da Costa is affiliated with the Universidade Federal de Para, in Belém, Brazil. Lucy Rowland is with the Research School of Biology at Australian National University, in Canberra. Leandro V. Ferreira is affiliated with the Museu Paraense Emílio Goeldi, in Belém, Brazil
| | - Antonio C L Da Costa
- Patrick Meir is affiliated with the Research School of Biology at Australian National University, in Canberra, and with the School of Geosciences at the University of Edinburgh, in the United Kingdom. Tana E. Wood is affiliated with the US Department of Agriculture Forest Service's International Institute of Tropical Forestry, in Rio Piedras, Puerto Rico, and with the Fundación Puertorriqueña de Conservación, in San Juan, Puerto Rico. David R. Galbraith is affiliated with the School of Geography at the University of Leeds, in the United Kingdom. Paulo M. Brando is with the Instituto Pesquisa Ambiental Amazonia, in Belém, Brazil. Antonio C. L. da Costa is affiliated with the Universidade Federal de Para, in Belém, Brazil. Lucy Rowland is with the Research School of Biology at Australian National University, in Canberra. Leandro V. Ferreira is affiliated with the Museu Paraense Emílio Goeldi, in Belém, Brazil
| | - Lucy Rowland
- Patrick Meir is affiliated with the Research School of Biology at Australian National University, in Canberra, and with the School of Geosciences at the University of Edinburgh, in the United Kingdom. Tana E. Wood is affiliated with the US Department of Agriculture Forest Service's International Institute of Tropical Forestry, in Rio Piedras, Puerto Rico, and with the Fundación Puertorriqueña de Conservación, in San Juan, Puerto Rico. David R. Galbraith is affiliated with the School of Geography at the University of Leeds, in the United Kingdom. Paulo M. Brando is with the Instituto Pesquisa Ambiental Amazonia, in Belém, Brazil. Antonio C. L. da Costa is affiliated with the Universidade Federal de Para, in Belém, Brazil. Lucy Rowland is with the Research School of Biology at Australian National University, in Canberra. Leandro V. Ferreira is affiliated with the Museu Paraense Emílio Goeldi, in Belém, Brazil
| | - Leandro V Ferreira
- Patrick Meir is affiliated with the Research School of Biology at Australian National University, in Canberra, and with the School of Geosciences at the University of Edinburgh, in the United Kingdom. Tana E. Wood is affiliated with the US Department of Agriculture Forest Service's International Institute of Tropical Forestry, in Rio Piedras, Puerto Rico, and with the Fundación Puertorriqueña de Conservación, in San Juan, Puerto Rico. David R. Galbraith is affiliated with the School of Geography at the University of Leeds, in the United Kingdom. Paulo M. Brando is with the Instituto Pesquisa Ambiental Amazonia, in Belém, Brazil. Antonio C. L. da Costa is affiliated with the Universidade Federal de Para, in Belém, Brazil. Lucy Rowland is with the Research School of Biology at Australian National University, in Canberra. Leandro V. Ferreira is affiliated with the Museu Paraense Emílio Goeldi, in Belém, Brazil
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