Organizing principles for vegetation dynamics

[1]  C. Farrior.  Theory predicts plants grow roots to compete with only their closest neighbours , 2019, Proceedings of the Royal Society B.

[2]  S. Malyshev,et al.  Diverse Mycorrhizal Associations Enhance Terrestrial C Storage in a Global Model , 2019, Global Biogeochemical Cycles.

[3]  D. Lawrence,et al.  Implementing Plant Hydraulics in the Community Land Model, Version 5 , 2019, Journal of Advances in Modeling Earth Systems.

[4]  M. Hutchinson,et al.  The validity of optimal leaf traits modelled on environmental conditions. , 2018, The New phytologist.

[5]  S. Higgins,et al.  African shrub distribution emerges via a trade‐off between height and sapwood conductivity , 2018, Journal of Biogeography.

[6]  K. Oleson,et al.  Comparing optimal and empirical stomatal conductance models for application in Earth system models , 2018, Global change biology.

[7]  P. Cox,et al.  Modelling tropical forest responses to drought and El Niño with a stomatal optimization model based on xylem hydraulics , 2018, Philosophical Transactions of the Royal Society B: Biological Sciences.

[8]  M. Lomas,et al.  A Large Committed Long‐Term Sink of Carbon due to Vegetation Dynamics , 2018, Earth's Future.

[9]  Nadejda A. Soudzilovskaia,et al.  Multiple facets of biodiversity drive the diversity–stability relationship , 2018, Nature Ecology & Evolution.

[10]  Nicolas Gross,et al.  Climate mediates the biodiversity–ecosystem stability relationship globally , 2018, Proceedings of the National Academy of Sciences.

[11]  P. Reich,et al.  Quantifying effects of biodiversity on ecosystem functioning across times and places. , 2018, Ecology letters.

[12]  N. Swenson,et al.  Why Functional Traits Do Not Predict Tree Demographic Rates. , 2018, Trends in ecology & evolution.

[13]  Benjamin Smith,et al.  Vegetation demographics in Earth System Models: A review of progress and priorities , 2018, Global change biology.

[14]  F. Barthelmes.  What is a “ Global Model ” ? , 2018 .

[15]  R. Dewar,et al.  New insights into the covariation of stomatal, mesophyll and hydraulic conductances from optimization models incorporating nonstomatal limitations to photosynthesis. , 2018, The New phytologist.

[16]  Benjamin Smith,et al.  Challenges and opportunities in land surface modelling of savanna ecosystems , 2017 .

[17]  S. Higgins,et al.  Climate‐biomes, pedo‐biomes or pyro‐biomes: which world view explains the tropical forest–savanna boundary in South America? , 2017 .

[18]  Daniel A. Bishop,et al.  Evaluating the effect of alternative carbon allocation schemes in a land surface model (CLM4.5) on carbon fluxes, pools, and turnover in temperate forests , 2017 .

[19]  C. Peng,et al.  Towards a universal model for carbon dioxide uptake by plants , 2017, Nature Plants.

[20]  Adaptive Carbon Allocation by Plants Enhances the Terrestrial Carbon Sink , 2017, Scientific Reports.

[21]  Shaun Quegan,et al.  Evaluation of climate‐related carbon turnover processes in global vegetation models for boreal and temperate forests , 2017, Global change biology.

[22]  U. Dieckmann,et al.  Multitrait successional forest dynamics enable diverse competitive coexistence , 2017, Proceedings of the National Academy of Sciences.

[23]  平館 道子,et al.  Predictive Analysis , 1983, Encyclopedia of GIS.

[24]  Jeremy W. Lichstein,et al.  Evaluating the drought response of CMIP5 models using global gross primary productivity, leaf area, precipitation, and soil moisture data , 2016 .

[25]  D. Loustau,et al.  Future challenges in coupled C–N–P cycle models for terrestrial ecosystems under global change: a review , 2016, Biogeochemistry.

[26]  Alice Boit,et al.  Resilience of Amazon forests emerges from plant trait diversity , 2016 .

[27]  Stephen W Pacala,et al.  Optimal stomatal behavior with competition for water and risk of hydraulic impairment , 2016, Proceedings of the National Academy of Sciences.

[28]  Tim R. McVicar,et al.  Global estimation of effective plant rooting depth: Implications for hydrological modeling , 2016 .

[29]  David Medvigy,et al.  Diversity in plant hydraulic traits explains seasonal and inter-annual variations of vegetation dynamics in seasonally dry tropical forests. , 2016, The New phytologist.

[30]  Joel s. Brown,et al.  The world's biomes and primary production as a triple tragedy of the commons foraging game played among plants , 2016, Proceedings of the Royal Society B: Biological Sciences.

[31]  James s. Clark,et al.  Why species tell more about traits than traits about species: predictive analysis. , 2016, Ecology.

[32]  J. R. de J.Jackson,et al.  The Search for Principles , 2016 .

[33]  Andrew J. Lowe,et al.  Leaf nitrogen from first principles: field evidence for adaptive variation with climate , 2016 .

[34]  S. Wright,et al.  The global spectrum of plant form and function , 2015, Nature.

[35]  Stephanie A. Bohlman,et al.  Dominance of the suppressed: Power-law size structure in tropical forests , 2016, Science.

[36]  M. Coe,et al.  Changing Amazon biomass and the role of atmospheric CO2 concentration, climate, and land use , 2016 .

[37]  E. Meron.  Pattern formation--A missing link in the study of ecosystem response to environmental changes. , 2016, Mathematical biosciences.

[38]  Nate G. McDowell,et al.  Taking off the training wheels: the properties of a dynamic vegetation model without climate envelopes, CLM4.5(ED) , 2015 .

[39]  J. Ni,et al.  Responses of leaf traits to climatic gradients: Adaptive variation versus compositional shifts , 2015 .

[40]  Julie Messier,et al.  Fitness of multidimensional phenotypes in dynamic adaptive landscapes. , 2015, Trends in ecology & evolution.

[41]  Murugesu Sivapalan,et al.  Using an optimality model to understand medium and long-term responses of vegetation water use to elevated atmospheric CO2 concentrations , 2015, AoB PLANTS.

[42]  Ignacio Rodriguez-Iturbe,et al.  Decreased water limitation under elevated CO2 amplifies potential for forest carbon sinks , 2015, Proceedings of the National Academy of Sciences.

[43]  S. Malyshev,et al.  Scaling from individual trees to forests in an Earth system modeling framework using a mathematically tractable model of height-structured competition , 2015 .

[44]  Daniel M. Ricciuto,et al.  Predicting long‐term carbon sequestration in response to CO2 enrichment: How and why do current ecosystem models differ? , 2015 .

[45]  Lea Hallik,et al.  A worldwide analysis of within-canopy variations in leaf structural, chemical and physiological traits across plant functional types. , 2015, The New phytologist.

[46]  S. Palmroth,et al.  How eco-evolutionary principles can guide tree breeding and tree biotechnology for enhanced productivity. , 2014, Tree physiology.

[47]  S. Sitch,et al.  Modeling the Terrestrial Biosphere , 2014 .

[48]  A. Pitman,et al.  A test of an optimal stomatal conductance scheme within the CABLE land surface model , 2014 .

[49]  I. Prentice,et al.  Reliable, robust and realistic: the three R's of next-generation land-surface modelling , 2014 .

[50]  P. V. van Bodegom,et al.  A fully traits-based approach to modeling global vegetation distribution , 2014, Proceedings of the National Academy of Sciences.

[51]  Stephen Sitch,et al.  Analysing Amazonian forest productivity using a new individual and trait-based model (TFS v.1) , 2014 .

[52]  P. Högberg,et al.  Forests trapped in nitrogen limitation – an ecological market perspective on ectomycorrhizal symbiosis , 2014, The New phytologist.

[53]  P. Reich.  The world‐wide ‘fast–slow’ plant economics spectrum: a traits manifesto , 2014 .

[54]  Atul K. Jain,et al.  Evaluation of 11 terrestrial carbon–nitrogen cycle models against observations from two temperate Free-Air CO2 Enrichment studies , 2014, The New phytologist.

[55]  Amilcare Porporato,et al.  Optimization of stomatal conductance for maximum carbon gain under dynamic soil moisture , 2013 .

[56]  S. Levin,et al.  Resource limitation in a competitive context determines complex plant responses to experimental resource additions. , 2013, Ecology.

[57]  Raphaël Martin,et al.  Disentangling Coordination among Functional Traits Using an Individual-Centred Model: Impact on Plant Performance at Intra- and Inter-Specific Levels , 2013, PloS one.

[58]  David A. Wardle,et al.  Contrasting effects of plant inter‐ and intraspecific variation on community‐level trait measures along an environmental gradient , 2013 .

[59]  R. Dewar,et al.  Statistical patterns in tropical tree cover explained by the different water demand of individual trees and grasses. , 2013, Ecology.

[60]  Peter B Adler,et al.  Trait-based tests of coexistence mechanisms. , 2013, Ecology Letters.

[61]  S. Caldararu,et al.  Phenology as a strategy for carbon optimality: a global model , 2013 .

[62]  Simon Scheiter,et al.  Next-generation dynamic global vegetation models: learning from community ecology. , 2013, The New phytologist.

[63]  I. Prentice,et al.  Dynamic Global Vegetation Models , 2013 .

[64]  K. Hikosaka,et al.  An evolutionary game of leaf dynamics and its consequences for canopy structure , 2012 .

[65]  Ehud Meron,et al.  Pattern-formation approach to modelling spatially extended ecosystems , 2012 .

[66]  G. Daily,et al.  Biodiversity loss and its impact on humanity , 2012, Nature.

[67]  A. Mäkelä,et al.  Modeling forest stand dynamics from optimal balances of carbon and nitrogen. , 2012, The New phytologist.

[68]  Ulf Dieckmann,et al.  Modeling carbon allocation in trees: a search for principles. , 2012, Tree physiology.

[69]  Nate G. McDowell,et al.  Toward a Mechanistic Modeling of Nitrogen Limitation on Vegetation Dynamics , 2012, PloS one.

[70]  Stephan Getzin,et al.  Assessing biodiversity in forests using very high‐resolution images and unmanned aerial vehicles , 2012 .

[71]  R. Dewar,et al.  Leaf-trait variation explained by the hypothesis that plants maximize their canopy carbon export over the lifespan of leaves. , 2011, Tree physiology.

[72]  Paolo De Angelis,et al.  Reconciling the optimal and empirical approaches to modelling stomatal conductance , 2011 .

[73]  S. Pacala,et al.  Evolutionarily Stable Strategy Carbon Allocation to Foliage, Wood, and Fine Roots in Trees Competing for Light and Nitrogen: An Analytically Tractable, Individual-Based Model and Quantitative Comparisons to Data , 2011, The American Naturalist.

[74]  A. Guswa.  Effect of plant uptake strategy on the water−optimal root depth , 2010 .

[75]  Michel Loreau,et al.  From Populations to Ecosystems: Theoretical Foundations for a New Ecological Synthesis , 2010 .

[76]  J. Stöcklin,et al.  Genotypic and environmental variation in specific leaf area in a widespread Alpine plant after transplantation to different altitudes , 2010, Oecologia.

[77]  R. Lande,et al.  Adaptation, Plasticity, and Extinction in a Changing Environment: Towards a Predictive Theory , 2010, PLoS biology.

[78]  S. Wofsy,et al.  Mechanistic scaling of ecosystem function and dynamics in space and time: Ecosystem Demography model version 2 , 2009 .

[79]  S. Schymanski,et al.  An optimality‐based model of the dynamic feedbacks between natural vegetation and the water balance , 2009 .

[80]  R. McMurtrie,et al.  Forest fine‐root production and nitrogen use under elevated CO2: contrasting responses in evergreen and deciduous trees explained by a common principle , 2009 .

[81]  Darren T. Drewry,et al.  The Jena Diversity-Dynamic Global Vegetation Model (JeDi-DGVM): a diverse approach to representing t , 2012 .

[82]  L. Senelick.  It (review) , 2008 .

[83]  S. Pacala,et al.  Predicting and understanding forest dynamics using a simple tractable model , 2008, Proceedings of the National Academy of Sciences.

[84]  J. Dushoff,et al.  SCALING FROM TREES TO FORESTS: TRACTABLE MACROSCOPIC EQUATIONS FOR FOREST DYNAMICS , 2008 .

[85]  S. G. Nelson,et al.  Relationship Between Remotely-sensed Vegetation Indices, Canopy Attributes and Plant Physiological Processes: What Vegetation Indices Can and Cannot Tell Us About the Landscape , 2008, Sensors.

[86]  K. Fraedrich,et al.  Multiple steady-states in the terrestrial atmosphere-biosphere system: a result of a discrete vegetation classification? , 2007 .

[87]  James S. Clark,et al.  Resolving the biodiversity paradox. , 2007, Ecology letters.

[88]  E. Garnier,et al.  Response to Comments on "From Plant Traits to Plant Communities: A Statistical Mechanistic Approach to Biodiversity" , 2007, Science.

[89]  O. Franklin.  Optimal nitrogen allocation controls tree responses to elevated CO2. , 2007, New Phytologist.

[90]  Sallie W. Chisholm,et al.  Emergent Biogeography of Microbial Communities in a Model Ocean , 2007, Science.

[91]  E. Meron,et al.  A mathematical model of plants as ecosystem engineers. , 2007, Journal of theoretical biology.

[92]  Christian O. Marks.  THE CAUSES OF VARIATION IN TREE SEEDLING TRAITS: THE ROLES OF ENVIRONMENTAL SELECTION VERSUS CHANCE , 2007, Evolution; international journal of organic evolution.

[93]  S. Sim,et al.  Rapid evolution of flowering time by an annual plant in response to a climate fluctuation , 2007, Proceedings of the National Academy of Sciences.

[94]  Josep G. Canadell,et al.  Terrestrial Ecosystems in a Changing World , 2007 .

[95]  Eric Garnier,et al.  From Plant Traits to Plant Communities: A Statistical Mechanistic Approach to Biodiversity , 2006, Science.

[96]  J. Peñuelas,et al.  Running to stand still: adaptation and the response of plants to rapid climate change. , 2005, Ecology letters.

[97]  M. Rietkerk,et al.  Self-Organized Patchiness and Catastrophic Shifts in Ecosystems , 2004, Science.

[98]  Sean C. Thomas,et al.  The worldwide leaf economics spectrum , 2004, Nature.

[99]  J. Chave,et al.  Modelling forest–savanna mosaic dynamics in man-influenced environments: effects of fire, climate and soil heterogeneity , 2004 .

[100]  M. Tribus,et al.  Probability theory: the logic of science , 2003 .

[101]  S. Pacala,et al.  A METHOD FOR SCALING VEGETATION DYNAMICS: THE ECOSYSTEM DEMOGRAPHY MODEL (ED) , 2001 .

[102]  H. Muller‐Landau,et al.  The Effects of Density, Spatial Pattern, and Competitive Symmetry on Size Variation in Simulated Plant Populations , 2001, The American Naturalist.

[103]  J. Hughes,et al.  From populations to ecosystems , 1999 .

[104]  J. Thornley,et al.  Modelling Shoot:Root Relations: the Only Way Forward? , 1998 .

[105]  P. Reich,et al.  The Influence of Functional Diversity and Composition on Ecosystem Processes , 1997 .

[106]  James F. Reynolds,et al.  A Coordination Model of Whole-plant Carbon Allocation in Relation to Water Stress☆ , 1997 .

[107]  D. A. King.  The Adaptive Significance of Tree Height , 1990, The American Naturalist.

[108]  A. Bloom.  Plant economics. , 1986, Trends in ecology & evolution.

[109]  K Sigmund,et al.  The theory of evolution and dynamic systems mathematical aspects of selection , 1984 .