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Exploring the Biophysical Drivers of Amazon Phenology: Preparing Data Sets to Improve Dynamic Global Vegetation Models

Andrew Bradley, France Gerard, Graham Weedon, Chris Huntingford, Nicolas Barbier, Przemyslaw Zelazowski, Liana Anderson, Luiz Eduardo O.C. de Aragao
2008 IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium  
2008 Exploring the biophysical drivers of Amazon phenology: preparing data sets to improve dynamic global vegetation models.  ...  ABSTRACT We explore the relative influence of biophysical drivers on phenology to assist validation and parameterization of Dynamic Global Vegetation Models.  ...  ACKNOWLEDGEMENTS This research has been supported by the Natural Environment Research Council (NERC), Centre for Ecology and Hydrology, a NERC funded project QUEST QUERCC [5] and the Environmental Change  ... 
doi:10.1109/igarss.2008.4778946 dblp:conf/igarss/BradleyGWHBZAA08 fatcat:obr4vpxsvzbwhhy7uzpxtdykgq

Improving simulated Amazon forest biomass and productivity by including spatial variation in biophysical parameters

A. D. A. Castanho, M. T. Coe, M. H. Costa, Y. Malhi, D. Galbraith, C. A. Quesada
2013 Biogeosciences  
</strong> Dynamic vegetation models forced with spatially homogeneous biophysical parameters are capable of producing average productivity and biomass values for the Amazon basin forest biome that are  ...  In this study, spatial heterogeneity of vegetation properties is added to the Integrated Biosphere Simulator (IBIS) land surface model, and the simulated productivity and biomass of the Amazon basin are  ...  discussions; Paul Lefebvre for creative graphical representations; and Justin Sheffield, Ryan Knox, Ke Zhang, Naomi Levine and Marcos Longo for preparation of soil texture and climatological data set.  ... 
doi:10.5194/bg-10-2255-2013 fatcat:omizx3h6gnhedprrhm3r5xbz34

Plant functional type mapping for earth system models

B. Poulter, P. Ciais, E. Hodson, H. Lischke, F. Maignan, S. Plummer, N. E. Zimmermann
2011 Geoscientific Model Development  
Dynamic global vegetation models (DGVM) rely on the concept of plant functional types (PFT) to group shared traits of thousands of plant species into usually only 10–20 classes.  ...  </strong> The sensitivity of global carbon and water cycling to climate variability is coupled directly to land cover and the distribution of vegetation.  ...  Orchidee, LPJ and CLM dynamic global vegetation models.  ... 
doi:10.5194/gmd-4-993-2011 fatcat:bqmwjasgqvbapexfikwo6gboiu

Plant functional type mapping for earth system models

B. Poulter, P. Ciais, E. Hodson, H. Lischke, F. Maignan, S. Plummer, N. E. Zimmermann
2011 Geoscientific Model Development Discussions  
Dynamic global vegetation models (DGVM) rely on the concept of plant functional types (PFT) to group shared traits of thousands of plant species into usually only 10-20 classes.  ...  The sensitivity of global carbon and water cycling to climate variability is coupled directly to land cover and the distribution of vegetation.  ...  Orchidee, LPJ and CLM dynamic global vegetation models.  ... 
doi:10.5194/gmdd-4-2081-2011 fatcat:cbkjwwsoxjdxbnpwqe7pfoj4he

Implementation of Yale Interactive terrestrial Biosphere model v1.0 into GEOS-Chem v12.0.0: a tool for biosphere–chemistry interactions

Yadong Lei, Xu Yue, Hong Liao, Cheng Gong, Lin Zhang
2020 Geoscientific Model Development  
Furthermore, we quantify the damaging effects of O3 on vegetation and find a global reduction of annual gross primary productivity by 1.5 %–3.6 %, with regional extremes of 10.9 %–14.1 % in the eastern  ...  In this study, the Yale Interactive terrestrial Biosphere (YIBs) model, a dynamic vegetation model with biogeochemical processes, is implemented into the Chemical Transport Model GEOS-Chem (GC) version  ...  We would like to thank the editor and three anonymous reviewers for their constructive comments which helped improve the quality of the paper. Financial support.  ... 
doi:10.5194/gmd-13-1137-2020 fatcat:7lvapj4oczaxvjx24qcmrk5qma

Accounting for spatial variation in vegetation properties improves simulations of Amazon forest biomass and productivity in a global vegetation model

A. D. de Almeida Castanho, M. T. Coe, M. Heil Costa, Y. Malhi, D. Galbraith, C. A. Quesada
2012 Biogeosciences Discussions  
Dynamic vegetation models forced with spatially homogeneous biophysical parameters are capable of producing average productivity and biomass values for the Amazon basin forest biome that are close to the  ...  The coefficient of correlation between the modeled and observed woody productivity improved from 0.10 with homogeneous parameters to 0.73 with spatially heterogeneous parameters, while the coefficient  ...  discussions; Paul Lefebvre for creative graphical representations; and Justin Sheffield, Ryan Knox, Ke Zhang, Naomi Levine and Marcos Longo for preparation of soil texture and climatological data set.  ... 
doi:10.5194/bgd-9-11767-2012 fatcat:zhi27u4pznd6tdnnjmxr3bdcei

Changing Amazon biomass and the role of atmospheric CO2concentration, climate, and land use

Andrea D. de Almeida Castanho, David Galbraith, Ke Zhang, Michael T. Coe, Marcos H. Costa, Paul Moorcroft
2016 Global Biogeochemical Cycles  
The Amazon tropical evergreen forest is an important component of the global carbon budget.  ...  In this study biomass and productivity simulated by three dynamic global vegetation models (Integrated Biosphere Simulator, Ecosystem Demography Biosphere Model, and Joint UK Land Environment Simulator  ...  , Paul Lefebvre for creative solutions in graphic representations, Naomi Levine and Marcos Longo for preparation of soil texture and climatological data set, and all people involved in this model inter-comparison  ... 
doi:10.1002/2015gb005135 fatcat:gs3yc2rl5fcyfhegibv2oqorjy

A new version of the CABLE land surface model (Subversion revision r4601) incorporating land use and land cover change, woody vegetation demography, and a novel optimisation-based approach to plant coordination of photosynthesis

Vanessa Haverd, Benjamin Smith, Lars Nieradzik, Peter R. Briggs, William Woodgate, Cathy M. Trudinger, Josep G. Canadell, Matthias Cuntz
2018 Geoscientific Model Development  
We describe new developments that extend the applicability of CABLE for regional and global carbon–climate simulations, accounting for vegetation responses to biophysical and anthropogenic forcings.  ...  Model evaluation shows that the new model version satisfies several key observational constraints: (i) trend and interannual variations in the global land carbon sink, including sensitivities of interannual  ...  In addition to the above scenarios, we also explored the impact on global GPP of dynamically optimising b JV = J max, 0 /V cmax, 0 .  ... 
doi:10.5194/gmd-11-2995-2018 fatcat:b6ghxm4uczd2znxu5oakbbux6e

Seasonal patterns of CO2fluxes in Amazon forests: Fusion of eddy covariance data and the ORCHIDEE model

Hans Verbeeck, Philippe Peylin, Cédric Bacour, Damien Bonal, Kathy Steppe, Philippe Ciais
2011 Journal of Geophysical Research  
In addition, our results highlight both the potential and the limitations of flux data to improve global terrestrial models.  ...  that are opposite in phase to the eddy flux data of the tropical evergreen forest at the Tapajós km 67 site (Brazil), like many other global models.  ...  linear model, and two anonymous reviewers for their useful comments to a previous version of the manuscript.  ... 
doi:10.1029/2010jg001544 fatcat:66dag4obtzccdncw2stoovh74q

Integrating Biodiversity, Remote Sensing, and Auxiliary Information for the Study of Ecosystem Functioning and Conservation at Large Spatial Scales [chapter]

Franziska Schrodt, Betsabe de la Barreda Bautista, Christopher Williams, Doreen S. Boyd, Gabriela Schaepman-Strub, Maria J. Santos
2020 Remote Sensing of Plant Biodiversity  
The recent decade has seen an explosion of in-situ databases necessary to assess such patterns and processes, often cover large parts of the Earth (e.g., plant functional traits, phenology (PhenoCam networks  ...  In the face to accelerated environmental change, being able to assess different aspects of plant biodiversity, such as those related to, e.g., the productivity or health of an ecosystem, repeatedly at  ...  MJS acknowledges the support of the University Research Priority Program in Global Change and Biodiversity and the Department of Geography at the University of Zurich.  ... 
doi:10.1007/978-3-030-33157-3_17 fatcat:f3qfvseedjdqhgs7xzpc3wf6u4

Global vegetation variability and its response to elevated CO2, global warming, and climate variability – a study using the offline SSiB4/TRIFFID model and satellite data

Ye Liu, Yongkang Xue, Glen MacDonald, Peter Cox, Zhengqiu Zhang
2019 Earth System Dynamics  
In this study, we used a biophysical dynamic vegetation model to estimate large-scale trends in terms of carbon fixation, vegetation growth, and expansion during the period 1958–2007, and to attribute  ...  CV is found to dominate the variability of FRAC, LAI, and GPP in the semi-humid and semi-arid areas.  ...  Conclusion This work employs a biophysical dynamic vegetation model (SSiB4/TRIFFID) to explore the responses of the terrestrial ecosystem to climate variability, global warming, and elevated atmospheric  ... 
doi:10.5194/esd-10-9-2019 fatcat:ixfndewjbnb3hg2husrhkfevei

Analyzing the discharge regime of a large tropical river through remote sensing, ground-based climatic data, and modeling

Charles J. Vörösmarty, Cort J. Willmott, Bhaskar J. Choudhury, Annette L. Schloss, Timothy K. Stearns, Scott M. Robeson, Timothy J. Dorman
1996 Water Resources Research  
This study demonstrates the potential for applying passive microwave satellite sensor data to infer the discharge dynamics of large river systems using the main stem Amazon as a test case.  ...  Much less attention has been paid to the dynamics of river systems, although river discharge can provide validatio n for both empirical water balance models and climate simulations.  ...  We wish to acknowledge the efforts of John Canfield for his help with data assembly and checking and of Sherry Palmer and Tom Hibschman for their very careful preparation of the graphics.  ... 
doi:10.1029/96wr01333 fatcat:oni67yaakjdipes3wlfvc4bnyu

A Regional Earth System Data Lab for Understanding Ecosystem Dynamics: An Example from Tropical South America

Lina M. Estupinan-Suarez, Fabian Gans, Alexander Brenning, Victor H. Gutierrez-Velez, Maria C. Londono, Daniel E. Pabon-Moreno, Germán Poveda, Markus Reichstein, Björn Reu, Carlos A. Sierra, Ulrich Weber, Miguel D. Mahecha
2021 Frontiers in Earth Science  
These results illustrate the potential of the RegESDL to explore complex land-surface processes and the need for further exploration.  ...  ecosystems in the regional-to-global carbon and water cycling.  ...  Time series are mainly data sets from models or satellite products related to vegetation and climate (Supplementary Table S1 ).  ... 
doi:10.3389/feart.2021.613395 fatcat:lynm7wkw3rccjo6avyagi7x2ai

Carbon and Beyond: The Biogeochemistry of Climate in a Rapidly Changing Amazon

Kristofer Covey, Fiona Soper, Sunitha Pangala, Angelo Bernardino, Zoe Pagliaro, Luana Basso, Henrique Cassol, Philip Fearnside, Diego Navarrete, Sidney Novoa, Henrique Sawakuchi, Thomas Lovejoy (+18 others)
2021 Frontiers in Forests and Global Change  
The Amazon Basin is at the center of an intensifying discourse about deforestation, land-use, and global change.  ...  , extent, and drivers of anthropogenic change in the Basin.  ...  explore impacts such as increased temperature and drought, and (2) integrative coupled land-atmosphere models that capture both the complexity of the established forest system and biophysical feedbacks  ... 
doi:10.3389/ffgc.2021.618401 fatcat:sxnxrozgq5bv3mzvxweeavyfjy

Numerical simulation of supercritical catalytic steam reforming of aviation kerosene coupling with coking and heat transfer in mini-channel

Shuyuan Liu, Yu Feng, Yong Cao, Keyu Gong, Weixing Zhou, Wen Bao
2019 International journal of thermal sciences  
In this study, we used a biophysical dynamic vegetation model to estimate large-scale trends in terms of carbon fixation, vegetation growth, and expansion during the period 1958-2007, and to attribute  ...  these changes to environmental drivers including elevated atmospheric CO 2 concentration (hereafter eCO 2 ), global warming, and climate variability (hereafter CV).  ...  Conclusion This work employs a biophysical dynamic vegetation model (SSiB4/TRIFFID) to explore the responses of the terrestrial ecosystem to climate variability, global warming, and elevated atmospheric  ... 
doi:10.1016/j.ijthermalsci.2018.10.039 fatcat:5thq3tdhizdezhsej6bjcfnutm
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