Modeling plant–water interactions: an ecohydrological overview from the cell to the global scale
暂无分享,去创建一个
[1] Stephen Sitch,et al. Analysing Amazonian forest productivity using a new individual and trait-based model (TFS v.1) , 2014 .
[2] Luana S. Basso,et al. Drought sensitivity of Amazonian carbon balance revealed by atmospheric measurements , 2014, Nature.
[3] Srikanth Saripalli,et al. Ecohydrology with unmanned aerial vehicles , 2014 .
[4] B. Bond,et al. Does turgor limit growth in tall trees , 2004 .
[5] N. McDowell,et al. Interdependence of chronic hydraulic dysfunction and canopy processes can improve integrated models of tree response to drought , 2015 .
[6] W. Pickard. The ascent of sap in plants , 1981 .
[7] J. Berry,et al. Stomata: key players in the earth system, past and present. , 2010, Current opinion in plant biology.
[8] Enrique R. Vivoni,et al. Ecohydrologic role of solar radiation on landscape evolution , 2015 .
[9] David C. Goodrich,et al. An integrated modelling framework of catchment‐scale ecohydrological processes: 1. Model description and tests over an energy‐limited watershed , 2014 .
[10] Philippe Ciais,et al. A tree-ring perspective on the terrestrial carbon cycle , 2014, Oecologia.
[11] E. Zeiger,et al. The biology of stomatal guard cells , 1983 .
[12] B. Drake,et al. MORE EFFICIENT PLANTS: A Consequence of Rising Atmospheric CO2? , 1997, Annual review of plant physiology and plant molecular biology.
[13] Jan Vanderborght,et al. Use of a Three‐Dimensional Detailed Modeling Approach for Predicting Root Water Uptake , 2008 .
[14] D. Woodruff,et al. Carbon dynamics in trees: feast or famine? , 2012, Tree physiology.
[15] R. Reed. Microbial water stress physiology: Principles and perspectives , 1990 .
[16] P. Cox,et al. The Joint UK Land Environment Simulator (JULES), model description – Part 2: Carbon fluxes and vegetation dynamics , 2011 .
[17] Rob Kooper,et al. On improving the communication between models and data. , 2013, Plant, cell & environment.
[18] Z. Cardon,et al. The magnitude of hydraulic redistribution by plant roots: a review and synthesis of empirical and modeling studies. , 2012, The New phytologist.
[19] J. Ramirez,et al. A mechanistic description of the formation and evolution of vegetation patterns , 2012 .
[20] M. G. Ryan,et al. Evaluating theories of drought-induced vegetation mortality using a multimodel-experiment framework. , 2013, The New phytologist.
[21] Henry H. Dixon. ON THE ASCENT OF SAP , 1894 .
[23] P. Cox,et al. Sensitivity of tropical carbon to climate change constrained by carbon dioxide variability , 2013, Nature.
[24] Reinder A. Feddes,et al. Simulation of field water uptake by plants using a soil water dependent root extraction function , 1976 .
[25] Robert B. Jackson,et al. ADAPTIVE VARIATION IN THE VULNERABILITY OF WOODY PLANTS TO XYLEM CAVITATION , 2004 .
[26] Luca Ridolfi,et al. Mathematical models of vegetation pattern formation in ecohydrology , 2009 .
[27] G. Farquhar,et al. A hydromechanical and biochemical model of stomatal conductance , 2003 .
[28] A. Rogers,et al. The response of photosynthesis and stomatal conductance to rising [CO2]: mechanisms and environmental interactions. , 2007, Plant, cell & environment.
[29] H. Mooney,et al. Modeling the Exchanges of Energy, Water, and Carbon Between Continents and the Atmosphere , 1997, Science.
[30] A. Wolf,et al. Tree mortality in dynamic vegetation models – A key feature for accurately simulating forest properties , 2012 .
[31] I. Rodríguez‐Iturbe. Ecohydrology: A hydrologic perspective of climate‐soil‐vegetation dynamies , 2000 .
[32] M. J. B. DAVY,et al. Water Transport , 1947, Nature.
[33] V. Arora. MODELING VEGETATION AS A DYNAMIC COMPONENT IN SOIL‐VEGETATION‐ATMOSPHERE TRANSFER SCHEMES AND HYDROLOGICAL MODELS , 2002 .
[34] P. Cox,et al. Observing terrestrial ecosystems and the carbon cycle from space , 2015, Global change biology.
[35] Melvin T. Tyree,et al. Plant hydraulics: The ascent of water , 2003, Nature.
[36] R. Leuning,et al. Modelling net ecosystem carbon and water exchange of a temperate Eucalyptus delegatensis forest using multiple constraints , 2007 .
[37] Hervé Cochard,et al. Hydraulic architecture of leaf blades: where is the main resistance? , 2004 .
[38] Amilcare Porporato,et al. Biological constraints on water transport in the soil–plant–atmosphere system , 2013 .
[39] G. Katul,et al. Role of biomass spread in vegetation pattern formation within arid ecosystems , 2008 .
[40] I. Prentice,et al. Terrestrial nitrogen cycle simulation with a dynamic global vegetation model , 2008 .
[41] Amilcare Porporato,et al. Optimization of stomatal conductance for maximum carbon gain under dynamic soil moisture , 2013 .
[42] David Medvigy,et al. Predicting ecosystem dynamics at regional scales: an evaluation of a terrestrial biosphere model for the forests of northeastern North America , 2012, Philosophical Transactions of the Royal Society B: Biological Sciences.
[43] M. Battaglia,et al. CABALA: a linked carbon, water and nitrogen model of forest growth for silvicultural decision support , 2004 .
[44] Enrique R. Vivoni,et al. Modeling the ecohydrological role of aspect‐controlled radiation on tree‐grass‐shrub coexistence in a semiarid climate , 2013 .
[45] P. Jarvis. The Interpretation of the Variations in Leaf Water Potential and Stomatal Conductance Found in Canopies in the Field , 1976 .
[46] P. Reich,et al. Assessing the generality of global leaf trait relationships. , 2005, The New phytologist.
[47] Andrew W. Western,et al. A review of paired catchment studies for determining changes in water yield resulting from alterations in vegetation , 2005 .
[48] Dynamics of nutrient movement at the soil-root interface. , 2002 .
[49] Davey L. Jones,et al. Carbon flow in the rhizosphere: carbon trading at the soil–root interface , 2009, Plant and Soil.
[50] Keith W. Oleson,et al. Landscapes as patches of plant functional types: An integrating concept for climate and ecosystem models , 2002 .
[51] K. Oleson,et al. Modeling stomatal conductance in the earth system: linking leaf water-use efficiency and water transport along the soil–plant–atmosphere continuum , 2014 .
[52] J. Dushoff,et al. SCALING FROM TREES TO FORESTS: TRACTABLE MACROSCOPIC EQUATIONS FOR FOREST DYNAMICS , 2008 .
[53] Gil Bohrer,et al. Sustained carbon uptake and storage following moderate disturbance in a Great Lakes forest. , 2013, Ecological applications : a publication of the Ecological Society of America.
[54] M. Sykes,et al. A comparison of forest gap models: Model structure and behaviour , 1996 .
[55] Ü. Rannik,et al. Gap filling strategies for defensible annual sums of net ecosystem exchange , 2001 .
[56] F. Woodward,et al. Vegetation dynamics – simulating responses to climatic change , 2004, Biological reviews of the Cambridge Philosophical Society.
[57] Christian Körner,et al. Moving beyond photosynthesis: from carbon source to sink-driven vegetation modeling. , 2014, The New phytologist.
[58] E. Newman. RESISTANCE TO WATER FLOW IN SOIL AND PLANT I. SOIL RESISTANCE IN RELATION TO AMOUNTS OF ROOT: THEORETICAL , 1969 .
[59] Ronald G. Prinn,et al. Development and application of earth system models , 2012, Proceedings of the National Academy of Sciences.
[60] R. Bras,et al. Precipitation Variability over the Forest-to-Nonforest Transition in Southwestern Amazonia , 2011 .
[61] S. Goetz,et al. Shrub expansion in tundra ecosystems: dynamics, impacts and research priorities , 2011, Environmental Research Letters.
[62] Paolo De Angelis,et al. Reconciling the optimal and empirical approaches to modelling stomatal conductance , 2011 .
[63] P. Berbigier,et al. MuSICA, a CO2, water and energy multilayer, multileaf pine forest model: evaluation from hourly to yearly time scales and sensitivity analysis , 2003 .
[64] Park S. Nobel,et al. Physicochemical and Environmental Plant Physiology , 1991 .
[65] Weimin Ju,et al. A spatially explicit hydro-ecological modeling framework (BEPS-TerrainLab V2.0): Model description and test in a boreal ecosystem in Eastern North America , 2009 .
[66] Gordon B. Bonan. Ecological Climatology: Terrestrial Plant Ecology , 2008 .
[67] Q. Fu,et al. Responses of terrestrial aridity to global warming , 2014 .
[68] D. Randall,et al. A Revised Land Surface Parameterization (SiB2) for Atmospheric GCMS. Part I: Model Formulation , 1996 .
[69] François Tardieu,et al. Water deficit and growth. Co-ordinating processes without an orchestrator? , 2011, Current opinion in plant biology.
[70] L. S. Pereira,et al. Crop evapotranspiration : guidelines for computing crop water requirements , 1998 .
[71] Murugesu Sivapalan,et al. Ecohydrological responses of dense canopies to environmental variability: 1. Interplay between vertical structure and photosynthetic pathway , 2010 .
[72] Chad W. Higgins,et al. Evapotranspiration: A process driving mass transport and energy exchange in the soil‐plant‐atmosphere‐climate system , 2012 .
[73] J. Ferrio,et al. Simulation of stand transpiration based on a xylem water flow model for individual trees , 2013 .
[74] Weijun Shen,et al. A model of stomatal conductance to quantify the relationship between leaf transpiration, microclimate and soil water stress , 2002 .
[75] D. Murphy,et al. In Situ Mapping of Nutrient Uptake in the Rhizosphere Using Nanoscale Secondary Ion Mass Spectrometry1[OA] , 2009, Plant Physiology.
[76] D. Lobell,et al. Climate Trends and Global Crop Production Since 1980 , 2011, Science.
[77] E. Wood,et al. Little change in global drought over the past 60 years , 2012, Nature.
[78] S. Andelman,et al. Drought-mortality relationships for tropical forests. , 2010, The New phytologist.
[79] T. Brodribb,et al. Leaf Maximum Photosynthetic Rate and Venation Are Linked by Hydraulics1[W][OA] , 2007, Plant Physiology.
[80] G. Collatz,et al. Coupled Photosynthesis-Stomatal Conductance Model for Leaves of C4 Plants , 1992 .
[81] J G Huguet,et al. A biophysical analysis of stem and root diameter variations in woody plants. , 2001, Plant physiology.
[82] Darren T. Drewry,et al. The Jena Diversity-Dynamic Global Vegetation Model (JeDi-DGVM): a diverse approach to representing t , 2012 .
[83] P. Cox,et al. Emergent constraints on climate‐carbon cycle feedbacks in the CMIP5 Earth system models , 2014 .
[84] E. Nikinmaa,et al. Capacitive effect of cavitation in xylem conduits: results from a dynamic model. , 2009, Plant, cell & environment.
[85] Philip Lewis,et al. Hyperspectral remote sensing of foliar nitrogen content , 2012, Proceedings of the National Academy of Sciences.
[86] Ann Henderson-Sellers,et al. Biosphere-atmosphere transfer scheme(BATS) version 1e as coupled to the NCAR community climate model , 1993 .
[87] W. Post,et al. The role of phosphorus dynamics in tropical forests – a modeling study using CLM-CNP , 2013 .
[88] Jessica D. Lundquist,et al. Lower forest density enhances snow retention in regions with warmer winters: A global framework developed from plot‐scale observations and modeling , 2013 .
[89] J. Boyer,et al. Hydraulics of plant growth. , 2004, Functional plant biology : FPB.
[90] Ulrich Schurr,et al. Dynamic root growth and architecture responses to limiting nutrient availability: linking physiological models and experimentation. , 2014, Biotechnology Advances.
[91] W. Knorr,et al. Quantifying photosynthetic capacity and its relationship to leaf nitrogen content for global‐scale terrestrial biosphere models , 2009 .
[92] P. Brooks,et al. Increased evaporation following widespread tree mortality limits streamflow response , 2014 .
[93] Atul K. Jain,et al. Integration of nitrogen cycle dynamics into the Integrated Science Assessment Model for the study of terrestrial ecosystem responses to global change , 2009 .
[94] Peter E. Thornton,et al. Influence of carbon‐nitrogen cycle coupling on land model response to CO2 fertilization and climate variability , 2007 .
[95] Scott M. Devine,et al. Soil moisture depletion under simulated drought in the Amazon: impacts on deep root uptake. , 2010, The New phytologist.
[96] A. Porporato,et al. Climatic, ecophysiological, and phenological controls on plant ecohydrological strategies in seasonally dry ecosystems , 2015 .
[97] Stuart N. Lane,et al. The hydraulic description of vegetated river channels: the weaknesses of existing formulations and emerging alternatives , 2014 .
[98] C. Field,et al. A model of biogeochemical cycles of carbon, nitrogen, and phosphorus including symbiotic nitrogen fixation and phosphatase production , 2007 .
[99] L. Montanarella,et al. A map of the topsoil organic carbon content of Europe generated by a generalized additive model , 2015 .
[100] R. Leuning,et al. A two-leaf model for canopy conductance, photosynthesis and partitioning of available energy I:: Model description and comparison with a multi-layered model , 1998 .
[101] D. Medvigy,et al. Strong control of surface roughness variations on the simulated dry season regional atmospheric response to contemporary deforestation in Rondônia, Brazil , 2014 .
[102] Andrew D. Friend,et al. A process-based, terrestrial biosphere model of ecosystem dynamics (Hybrid v3.0) , 1997 .
[103] David G. Tarboton,et al. Testing above‐ and below‐canopy representations of turbulent fluxes in an energy balance snowmelt model , 2013 .
[104] M. Schaepman,et al. Review of optical-based remote sensing for plant trait mapping , 2013 .
[105] Dominique Gravel,et al. Using dynamic vegetation models to simulate plant range shifts , 2014 .
[106] C. Leuschner,et al. Stem water storage in five coexisting temperate broad-leaved tree species: significance, temporal dynamics and dependence on tree functional traits. , 2013, Tree physiology.
[107] Daniel Leitner,et al. A dynamic root system growth model based on L-Systems , 2010, Plant and Soil.
[108] R. Fischer. The Relationship of Stomatal Aperture and Guard-cell Turgor Pressure in Vicia faba , 1973 .
[109] Donald R. Zak,et al. Ecological Lessons from Free-Air CO2 Enrichment (FACE) Experiments , 2011 .
[110] N. Molotch,et al. Quantifying the effects of vegetation structure on snow accumulation and ablation in mixed‐conifer forests , 2015 .
[111] G. Katul,et al. A stomatal optimization theory to describe the effects of atmospheric CO2 on leaf photosynthesis and transpiration. , 2010, Annals of botany.
[112] Peter A. Troch,et al. Decreased streamflow in semi-arid basins following drought-induced tree die-off: A counter-intuitive and indirect climate impact on hydrology , 2011 .
[113] W. Rawls,et al. Soil Water Characteristic Estimates by Texture and Organic Matter for Hydrologic Solutions , 2006 .
[114] Notes and Comments Self-Organization of Vegetation in Arid Ecosystems , 2002 .
[115] A. Granier,et al. Modelling carbon and water cycles in a beech forest: Part I: Model description and uncertainty analysis on modelled NEE , 2005 .
[116] I. Dickie,et al. Organic nutrient uptake by mycorrhizal fungi enhances ecosystem carbon storage: a model-based assessment. , 2011, Ecology letters.
[117] C. François,et al. The fundamental role of reserves and hydraulic constraints in predicting LAI and carbon allocation in forests , 2009 .
[118] F. Gérard,et al. Acquisition of phosphorus and other poorly mobile nutrients by roots. Where do plant nutrition models fail? , 2011, Plant and Soil.
[119] M. Tyree,et al. Interspecific variation in xylem vulnerability to cavitation among tropical tree and shrub species. , 2005, Tree physiology.
[120] Gabriel G. Katul,et al. Cross‐scale impact of climate temporal variability on ecosystem water and carbon fluxes , 2015 .
[121] Yongqiang Zhang,et al. Determination of daily evaporation and evapotranspiration of winter wheat and maize by large-scale weighing lysimeter and micro-lysimeter , 2002 .
[122] Lianhai Wu,et al. SPACSYS: Integration of a 3D root architecture component to carbon, nitrogen and water cycling—Model description , 2007 .
[123] B. Medlyn,et al. Forest productivity under climate change: a checklist for evaluating model studies , 2011 .
[124] Michael T. Coe,et al. Testing the performance of a dynamic global ecosystem model: Water balance, carbon balance, and vegetation structure , 2000 .
[125] Frederick R. Adler,et al. Limitation of plant water use by rhizosphere and xylem conductance: results from a model , 1998 .
[126] Lawrence E. Band,et al. Forest ecosystem processes at the watershed scale: hydrological and ecological controls of nitrogen export , 2001 .
[127] M. Dietze,et al. A general ecophysiological framework for modelling the impact of pests and pathogens on forest ecosystems. , 2014, Ecology letters.
[128] Timothy E. Link,et al. Shrub tundra snowmelt , 2006 .
[129] I. Rodríguez‐Iturbe,et al. Coupled Dynamics of Photosynthesis, Transpiration, and Soil Water Balance. Part I: Upscaling from Hourly to Daily Level , 2004 .
[130] Tomas Vitvar,et al. Swiss prealpine Rietholzbach research catchment and lysimeter: 32 year time series and 2003 drought event , 2012 .
[131] Valeriy Y. Ivanov,et al. Interannual variability of evapotranspiration and vegetation productivity , 2014 .
[132] C. Körner. Plant CO2 responses: an issue of definition, time and resource supply. , 2006, The New phytologist.
[133] Barbara J. Bond,et al. Hydrology and ecology meet—and the meeting is good , 2003 .
[134] Jasper A. Vrugt,et al. One‐, two‐, and three‐dimensional root water uptake functions for transient modeling , 2001 .
[135] Sebastian Bittner,et al. Individual tree branch-level simulation of light attenuation and water flow of threeF. sylvatica L. trees , 2012 .
[136] S. Running,et al. A general model of forest ecosystem processes for regional applications I. Hydrologic balance, canopy gas exchange and primary production processes , 1988 .
[137] M. Heimann,et al. Comprehensive comparison of gap-filling techniques for eddy covariance net carbon fluxes , 2007 .
[138] Daniel M. Johnson,et al. Climate-related trends in sapwood biophysical properties in two conifers: avoidance of hydraulic dysfunction through coordinated adjustments in xylem efficiency, safety and capacitance. , 2011, Plant, cell & environment.
[139] T. Brodribb,et al. Abscisic Acid Mediates a Divergence in the Drought Response of Two Conifers1[W][OA] , 2013, Plant Physiology.
[140] J. Jacobs. Ecohydrology: Darwinian Expression of Vegetation Form and Function , 2003 .
[141] N. Butt,et al. Evidence that deforestation affects the onset of the rainy season in Rondonia, Brazil , 2011 .
[142] D. Cosgrove,et al. Biophysical control of plant cell growth. , 1986, Annual review of plant physiology.
[143] A. Townsend Peterson,et al. The Fallacy of Averages , 1988, The American Naturalist.
[144] Jirka Šimůnek,et al. Modeling Nonequilibrium Flow and Transport Processes Using HYDRUS , 2008 .
[145] Peter M. Cox,et al. Description of the "TRIFFID" Dynamic Global Vegetation Model , 2001 .
[146] Giacomo Bertoldi,et al. Impact of Watershed Geomorphic Characteristics on the Energy and Water Budgets , 2006 .
[147] J. Sperry,et al. Vulnerability to xylem cavitation and the distribution of Sonoran Desert vegetation. , 1996, American journal of botany.
[148] Peter A. Troch,et al. Temperature sensitivity of drought-induced tree mortality portends increased regional die-off under global-change-type drought , 2009, Proceedings of the National Academy of Sciences.
[149] G. Farquhar,et al. Some relationships between the biochemistry of photosynthesis and the gas exchange of leaves , 1981, Planta.
[150] A. Mäkelä,et al. CASSIA--a dynamic model for predicting intra-annual sink demand and interannual growth variation in Scots pine. , 2015, The New phytologist.
[151] D. Schimel,et al. Effect of increasing CO2 on the terrestrial carbon cycle , 2014, Proceedings of the National Academy of Sciences.
[152] N. McDowell,et al. Mechanisms of plant survival and mortality during drought: why do some plants survive while others succumb to drought? , 2008, The New phytologist.
[153] Maosheng Zhao,et al. Improvements to a MODIS global terrestrial evapotranspiration algorithm , 2011 .
[154] Yadvinder Malhi,et al. Confronting model predictions of carbon fluxes with measurements of Amazon forests subjected to experimental drought. , 2013, The New phytologist.
[155] T. Cochrane,et al. Differences in the way potassium chloride and sucrose solutions effect osmotic potential of significance to stomata aperture modulation. , 2009, Plant physiology and biochemistry : PPB.
[156] Kyle G. Dexter,et al. Steege Hyperdominance in the Amazonian Tree Flora , 2013 .
[157] Markus Reichstein,et al. Improving canopy processes in the Community Land Model version 4 (CLM4) using global flux fields empirically inferred from FLUXNET data , 2011 .
[158] J. Domec,et al. Relationship between growth rates and xylem hydraulic characteristics in young, mature and old-growth ponderosa pine trees , 2003 .
[159] S. Seneviratne,et al. The energy balance over land and oceans: an assessment based on direct observations and CMIP5 climate models , 2015, Climate Dynamics.
[160] S. Trumbore,et al. Thirst beats hunger - declining hydration during drought prevents carbon starvation in Norway spruce saplings. , 2013, The New phytologist.
[161] S. Sitch,et al. Modeling the Terrestrial Biosphere , 2014 .
[162] Dali Guo,et al. Redefining fine roots improves understanding of below-ground contributions to terrestrial biosphere processes. , 2015, The New phytologist.
[163] D. Marks,et al. The impact of coniferous forest temperature on incoming longwave radiation to melting snow , 2009 .
[164] Keith A. Mott,et al. Modelling stomatal conductance in response to environmental factors. , 2013, Plant, cell & environment.
[165] Gerardo Severino,et al. Using Bimodal Lognormal Functions to Describe Soil Hydraulic Properties , 2011 .
[166] H. Bugmann. A Review of Forest Gap Models , 2001 .
[167] D. Or,et al. Plant Water Use Efficiency over Geological Time – Evolution of Leaf Stomata Configurations Affecting Plant Gas Exchange , 2013, PloS one.
[168] R. B. Jackson,et al. Modeling Root Water Uptake in Hydrological and Climate Models. , 2001 .
[169] B. Muller,et al. The dual effect of abscisic acid on stomata. , 2013, The New phytologist.
[170] Nikolaos D. Katopodes,et al. Hydraulic resistance to overland flow on surfaces with partially submerged vegetation , 2012 .
[171] N. McDowell,et al. How do trees die? A test of the hydraulic failure and carbon starvation hypotheses , 2013, Plant, cell & environment.
[172] N. McDowell,et al. An Integrated Model of Environmental Effects on Growth, Carbohydrate Balance, and Mortality of Pinus ponderosa Forests in the Southern Rocky Mountains , 2013, PloS one.
[173] S. Running,et al. Global products of vegetation leaf area and fraction absorbed PAR from year one of MODIS data , 2002 .
[174] I. Rodríguez‐Iturbe,et al. Ecohydrology of water-controlled ecosystems , 2004 .
[175] R. Norby,et al. CO2 Fertilization: When, Where, How Much? , 2007 .
[176] J. Elser,et al. Ecological Stoichiometry: The Biology of Elements from Molecules to the Biosphere , 2002 .
[177] Annett Wolf,et al. Sensitivity analysis of a process‐based ecosystem model: Pinpointing parameterization and structural issues , 2013 .
[178] K. Trenberth,et al. A Global Dataset of Palmer Drought Severity Index for 1870–2002: Relationship with Soil Moisture and Effects of Surface Warming , 2004 .
[179] W. J. Davies,et al. ABA-based chemical signalling: the co-ordination of responses to stress in plants. , 2002, Plant, cell & environment.
[180] L. A. Richards. Capillary conduction of liquids through porous mediums , 1931 .
[181] L. Sack,et al. The determinants of leaf turgor loss point and prediction of drought tolerance of species and biomes: a global meta-analysis. , 2012, Ecology letters.
[182] Kathy Steppe,et al. A comparison of sap flux density using thermal dissipation, heat pulse velocity and heat field deformation methods , 2010 .
[183] Maurizio Mencuccini,et al. Drought-induced defoliation and long periods of near-zero gas exchange play a key role in accentuating metabolic decline of Scots pine. , 2013, The New phytologist.
[184] Tod A. Laursen,et al. Finite element tree crown hydrodynamics model (FETCH) using porous media flow within branching elements: A new representation of tree hydrodynamics , 2005 .
[185] N. Holbrook,et al. Application of a single-solute non-steady-state phloem model to the study of long-distance assimilate transport. , 2003, Journal of theoretical biology.
[186] Jan Vanderborght,et al. Root Water Uptake: From Three‐Dimensional Biophysical Processes to Macroscopic Modeling Approaches , 2013 .
[187] N. McDowell,et al. Mechanisms Linking Drought, Hydraulics, Carbon Metabolism, and Vegetation Mortality1[W] , 2011, Plant Physiology.
[188] Atul K. Jain,et al. Using ecosystem experiments to improve vegetation models , 2015 .
[189] Lutz Bornmann,et al. Growth rates of modern science: A bibliometric analysis based on the number of publications and cited references , 2014, J. Assoc. Inf. Sci. Technol..
[190] W. Wagner,et al. Soil moisture estimation through ASCAT and AMSR-E sensors: An intercomparison and validation study across Europe , 2011 .
[191] S. Vicca,et al. Do global change experiments overestimate impacts on terrestrial ecosystems? , 2011, Trends in ecology & evolution.
[192] G. Mendicino,et al. A coupled ecohydrological–three‐dimensional unsaturated flow model describing energy, H2O and CO2 fluxes , 2010 .
[193] R. Dewar. The Ball–Berry–Leuning and Tardieu–Davies stomatal models: synthesis and extension within a spatially aggregated picture of guard cell function , 2002 .
[194] P. Franks,et al. Anisohydric but isohydrodynamic: seasonally constant plant water potential gradient explained by a stomatal control mechanism incorporating variable plant hydraulic conductance. , 2007, Plant, cell & environment.
[195] Chaopeng Shen,et al. Evaluating controls on coupled hydrologic and vegetation dynamics in a humid continental climate watershed using a subsurface‐land surface processes model , 2013 .
[196] John L. Monteith,et al. A reinterpretation of stomatal responses to humidity , 1995 .
[197] D J W De Pauw,et al. Identifiability analysis and improvement of a tree water flow and storage model. , 2008, Mathematical biosciences.
[198] Kathy Steppe,et al. A mathematical model linking tree sap flow dynamics to daily stem diameter fluctuations and radial stem growth. , 2006, Tree physiology.
[199] Luca Ridolfi,et al. Plants in water-controlled ecosystems: active role in hydrologic processes and response to water stress: III. Vegetation water stress , 2001 .
[200] C. Peng,et al. Toward dynamic global vegetation models for simulating vegetation–climate interactions and feedbacks: recent developments, limitations, and future challenges , 2010 .
[201] S. Kanae,et al. Global Hydrological Cycles and World Water Resources , 2006, Science.
[202] G. Goldstein,et al. Hydraulic Capacitance: Biophysics and Functional Significance of Internal Water Sources in Relation to Tree Size , 2011 .
[203] N. Holbrook,et al. Effects of the hydraulic coupling between xylem and phloem on diurnal phloem diameter variation. , 2011, Plant, cell & environment.
[204] I. Rodríguez‐Iturbe,et al. Tree‐grass competition in space and time: Insights from a simple cellular automata model based on ecohydrological dynamics , 2002 .
[205] Andreas Huth,et al. Connecting dynamic vegetation models to data – an inverse perspective , 2012 .
[206] Christopher M. Gough,et al. Species‐specific transpiration responses to intermediate disturbance in a northern hardwood forest , 2014 .
[207] A. Provenzale,et al. A model for soil‐vegetation‐atmosphere interactions in water‐limited ecosystems , 2008 .
[208] W. Oechel,et al. Energy balance closure at FLUXNET sites , 2002 .
[209] T. A. Black,et al. Interannual variation in net ecosystem productivity of Canadian forests as affected by regional weather patterns - a Fluxnet-Canada synthesis. , 2009 .
[210] Alan H. Strahler,et al. The Moderate Resolution Imaging Spectroradiometer (MODIS): land remote sensing for global change research , 1998, IEEE Trans. Geosci. Remote. Sens..
[211] G. Stutte,et al. Osmotic adjustment: effect of water stress on carbohydrates in leaves, stems and roots of apple , 1995 .
[212] N. McDowell,et al. Drought predisposes piñon-juniper woodlands to insect attacks and mortality. , 2013, The New phytologist.
[213] F. J. Barnes,et al. Tree die-off in response to global change-type drought: mortality insights from a decade of plant water potential measurements. , 2009 .
[214] William R. Wieder,et al. Global soil carbon projections are improved by modelling microbial processes , 2013 .
[215] M. Roderick,et al. On the assessment of aridity with changes in atmospheric CO2 , 2015 .
[216] S. Pacala,et al. Predicting and understanding forest dynamics using a simple tractable model , 2008, Proceedings of the National Academy of Sciences.
[217] A Lacointe,et al. Generalized Münch coupling between sugar and water fluxes for modelling carbon allocation as affected by water status. , 2002, Journal of Theoretical Biology.
[218] R. B. Jackson,et al. A global budget for fine root biomass, surface area, and nutrient contents. , 1997, Proceedings of the National Academy of Sciences of the United States of America.
[219] J. Berry,et al. A biochemical model of photosynthetic CO2 assimilation in leaves of C3 species , 1980, Planta.
[220] William J. Davies,et al. Integration of hydraulic and chemical signalling in the control of stomatal conductance and water status of droughted plants , 1993 .
[221] G. Goldstein,et al. Whole-tree water transport scales with sapwood capacitance in tropical forest canopy trees , 2003 .
[222] Ü. Rannik,et al. Estimates of the annual net carbon and water exchange of forests: the EUROFLUX methodology , 2000 .
[223] Anja Rammig,et al. Leaf and stem economics spectra drive diversity of functional plant traits in a dynamic global vegetation model , 2015, Global change biology.
[224] M. S. Moran,et al. Global and time-resolved monitoring of crop photosynthesis with chlorophyll fluorescence , 2014, Proceedings of the National Academy of Sciences.
[225] S. Pacala,et al. A METHOD FOR SCALING VEGETATION DYNAMICS: THE ECOSYSTEM DEMOGRAPHY MODEL (ED) , 2001 .
[226] Peter E. Thornton,et al. Modeling and measuring the effects of disturbance history and climate on carbon and water budgets in evergreen needleleaf forests , 2002 .
[227] I. Oliveras,et al. Xylem hydraulic properties of roots and stems of nine Mediterranean woody species , 2002, Oecologia.
[228] Gérard Dedieu,et al. TURC: A diagnostic model of continental gross primary productivity and net primary productivity , 1996 .
[229] J. Comstock,et al. Hydraulic and chemical signalling in the control of stomatal conductance and transpiration. , 2002, Journal of experimental botany.
[230] M. Brosché,et al. To open or to close: species-specific stomatal responses to simultaneously applied opposing environmental factors. , 2014, The New phytologist.
[231] S. Attinger,et al. Implementing small scale processes at the soil-plant interface – the role of root architectures for calculating root water uptake profiles , 2009 .
[232] M. Zeppel,et al. Mechanistic causes of tree drought mortality: recent results, unresolved questions and future research needs. , 2011, The New phytologist.
[233] Ray Leuning,et al. Modelling Stomatal Behaviour and and Photosynthesis of Eucalyptus grandis , 1990 .
[234] Keryn I. Paul,et al. Modelling C and N dynamics in forest soils with a modified version of the CENTURY model , 2002 .
[235] Lianhai Wu,et al. Modelling root–soil interactions using three–dimensional models of root growth, architecture and function , 2013, Plant and Soil.
[236] N. Holbrook,et al. Stomatal protection against hydraulic failure: a comparison of coexisting ferns and angiosperms. , 2004, The New phytologist.
[237] Josep Peñuelas,et al. Complex spatiotemporal phenological shifts as a response to rainfall changes. , 2004, The New phytologist.
[238] R. B. Jackson,et al. Stoichiometric controls on carbon, nitrogen, and phosphorus dynamics in decomposing litter , 2010 .
[239] D. Baldocchi. ‘Breathing’ of the terrestrial biosphere: lessons learned from a global network of carbon dioxide flux measurement systems , 2008 .
[240] J. Terborgh,et al. Long-term decline of the Amazon carbon sink , 2015, Nature.
[241] S. Wofsy,et al. Seasonal carbon dynamics and water fluxes in an Amazon rainforest , 2012 .
[242] A. Dalcher,et al. A Simple Biosphere Model (SIB) for Use within General Circulation Models , 1986 .
[243] David J. Beerling,et al. Maximum leaf conductance driven by CO2 effects on stomatal size and density over geologic time , 2009, Proceedings of the National Academy of Sciences.
[244] Geoffrey B. West,et al. A general quantitative theory of forest structure and dynamics , 2009, Proceedings of the National Academy of Sciences.
[245] Andrea L. Bertozzi,et al. The porous media model for the hydraulic system of a conifer tree: Linking sap flux data to transpiration rate , 2006, Ecological Modelling.
[246] Ray Leuning,et al. A coupled model of stomatal conductance, photosynthesis and transpiration , 2003 .
[247] Eric A Davidson,et al. Drought effects on litterfall, wood production and belowground carbon cycling in an Amazon forest: results of a throughfall reduction experiment , 2008, Philosophical Transactions of the Royal Society B: Biological Sciences.
[248] L. Sack,et al. Combined impacts of irradiance and dehydration on leaf hydraulic conductance: insights into vulnerability and stomatal control. , 2012, Plant, cell & environment.
[249] Loïc Pagès,et al. Water Uptake by Plant Roots: II – Modelling of Water Transfer in the Soil Root-system with Explicit Account of Flow within the Root System – Comparison with Experiments , 2006, Plant and Soil.
[250] K.,et al. Carbon–Concentration and Carbon–Climate Feedbacks in CMIP5 Earth System Models , 2012 .
[251] G. Asner,et al. High-resolution mapping of forest carbon stocks in the Colombian Amazon , 2012 .
[252] Dennis D. Baldocchi,et al. Modeling CO2 and water vapor exchange of a temperate broadleaved forest across hourly to decadal time scales , 2001 .
[253] E. Fereres,et al. Water stress, growth, and osmotic adjustment , 1976 .
[254] W. Oechel,et al. FLUXNET: A New Tool to Study the Temporal and Spatial Variability of Ecosystem-Scale Carbon Dioxide, Water Vapor, and Energy Flux Densities , 2001 .
[255] Ichiro Terashima,et al. Resistances along the CO2 diffusion pathway inside leaves. , 2009, Journal of experimental botany.
[256] I. C. Prentice,et al. Evaluation of the terrestrial carbon cycle, future plant geography and climate‐carbon cycle feedbacks using five Dynamic Global Vegetation Models (DGVMs) , 2008 .
[257] M. S. Moran,et al. Modelling of daily fluxes of water and carbon from shortgrass steppes , 2000 .
[258] Christina L. Tague,et al. RHESSys: Regional Hydro-Ecologic Simulation System—An Object- Oriented Approach to Spatially Distributed Modeling of Carbon, Water, and Nutrient Cycling , 2004 .
[259] Benjamin Smith,et al. CO2 fertilization in temperate FACE experiments not representative of boreal and tropical forests , 2008 .
[260] R. DeFries,et al. The Amazon basin in transition , 2012, Nature.
[261] A. P. Williams,et al. The critical amplifying role of increasing atmospheric moisture demand on tree mortality and associated regional die-off , 2013, Front. Plant Sci..
[262] Gil Bohrer,et al. Exploring the Effects of Microscale Structural Heterogeneity of Forest Canopies Using Large-Eddy Simulations , 2009 .
[263] Melvin T. Tyree,et al. The Cohesion-Tension theory of sap ascent: current controversies , 1997 .
[264] P. Reich,et al. From tropics to tundra: global convergence in plant functioning. , 1997, Proceedings of the National Academy of Sciences of the United States of America.
[265] Peter S. Eagleson,et al. Climate, soil, and vegetation: 1. Introduction to water balance dynamics , 1978 .
[266] Sönke Zaehle,et al. Carbon–nitrogen interactions on land at global scales: current understanding in modelling climate biosphere feedbacks , 2011 .
[267] W. Barthlott,et al. Patterns of vascular plant diversity at continental to global scales , 2007 .
[268] Chonggang Xu,et al. Our limited ability to predict vegetation dynamics under water stress. , 2013, The New phytologist.
[269] Jack J. Middelburg,et al. Major role of marine vegetation on the oceanic carbon cycle , 2004 .
[270] D. Baldocchi. Assessing the eddy covariance technique for evaluating carbon dioxide exchange rates of ecosystems: past, present and future , 2003 .
[271] François Tardieu,et al. Variability among species of stomatal control under fluctuating soil water status and evaporative demand: modelling isohydric and anisohydric behaviours , 1998 .
[272] J. Domec,et al. How do water transport and water storage differ in coniferous earlywood and latewood? , 2002, Journal of experimental botany.
[273] W. Cramer,et al. A global biome model based on plant physiology and dominance, soil properties and climate , 1992 .
[274] F. Bongers,et al. No growth stimulation of tropical trees by 150 years of CO2 fertilization but water-use efficiency increased , 2015 .
[275] Pierre Friedlingstein,et al. Uncertainties in CMIP5 Climate Projections due to Carbon Cycle Feedbacks , 2014 .
[276] N. McDowell,et al. The interdependence of mechanisms underlying climate-driven vegetation mortality. , 2011, Trends in ecology & evolution.
[277] P. Franks,et al. Stomatal control and hydraulic conductance, with special reference to tall trees. , 2004, Tree physiology.
[278] R. Leuning. A critical appraisal of a combined stomatal‐photosynthesis model for C3 plants , 1995 .
[279] G. Katul,et al. Tree root systems competing for soil moisture in a 3D soil–plant model , 2014 .
[280] Clayton C. Kingdon,et al. Spectroscopic determination of leaf morphological and biochemical traits for northern temperate and boreal tree species. , 2014, Ecological applications : a publication of the Ecological Society of America.
[281] A. Guswa. The influence of climate on root depth: A carbon cost‐benefit analysis , 2008 .
[282] Stephen Sitch,et al. Simulated resilience of tropical rainforests to CO2-induced climate change , 2013 .
[283] Atul K. Jain,et al. Forest water use and water use efficiency at elevated CO2: a model‐data intercomparison at two contrasting temperate forest FACE sites , 2013, Global change biology.
[284] D. Spanner. Transport in the Phloem , 1971, Nature.
[285] D. Hann,et al. Forest Growth and Yield Modeling: Vanclay/Forest Growth and Yield Modeling , 2011 .
[286] H. Lischke,et al. Intra-specific density dependence is required to maintain species diversity in spatio-temporal forest simulations with reproduction , 2006 .
[287] D. Cosgrove. Growth of the plant cell wall , 2005, Nature Reviews Molecular Cell Biology.
[288] J. Terborgh,et al. The regional variation of aboveground live biomass in old‐growth Amazonian forests , 2006 .
[289] S. Assmann. The cellular basis of guard cell sensing of rising CO2 , 1999 .
[290] Benjamin Smith,et al. Representation of vegetation dynamics in the modelling of terrestrial ecosystems: comparing two contrasting approaches within European climate space , 2008 .
[291] E. Pendall,et al. Impact of mountain pine beetle induced mortality on forest carbon and water fluxes , 2014 .
[292] Leonardo Noto,et al. Climate change and Ecotone boundaries: Insights from a cellular automata ecohydrology model in a Mediterranean catchment with topography controlled vegetation patterns , 2014 .
[293] G. Bonan. Forests and Climate Change: Forcings, Feedbacks, and the Climate Benefits of Forests , 2008, Science.
[294] D. Frank,et al. Climatic drivers of hourly to yearly tree radius variations along a 6 ◦ C natural warming gradient , 2013 .
[295] W. Parton,et al. Dynamics of C, N, P and S in grassland soils: a model , 1988 .
[296] R. Seidl,et al. A generic model of thinning and stand density effects on forest growth, mortality and net increment , 2009, Annals of Forest Science.
[297] R. A. Vertessy,et al. Long-term growth and water balance predictions for a mountain ash (Eucalyptus regnans) forest catchment subject to clear-felling and regeneration. , 1996, Tree physiology.
[298] N. Michele Holbrook,et al. Stomatal Closure during Leaf Dehydration, Correlation with Other Leaf Physiological Traits1 , 2003, Plant Physiology.
[299] Songhao Shang,et al. A novel algorithm to assess gross primary production for terrestrial ecosystems from MODIS imagery , 2013 .
[300] Gabriel G. Katul,et al. Abiotic and biotic controls of soil moisture spatiotemporal variability and the occurrence of hysteresis , 2015 .
[301] Iain M. Young,et al. Rhizosphere: biophysics, biogeochemistry and ecological relevance , 2009, Plant and Soil.
[302] Greg Hancock,et al. Eco-geomorphology of banded vegetation patterns in arid and semi-arid regions , 2006 .
[303] T. Brodribb,et al. Passive Origins of Stomatal Control in Vascular Plants , 2011, Science.
[304] Stefano Manzoni,et al. Carbon use efficiency of microbial communities: stoichiometry, methodology and modelling. , 2013, Ecology letters.
[305] R. Betts,et al. Detection of a direct carbon dioxide effect in continental river runoff records , 2006, Nature.
[306] J. Chave,et al. Towards a Worldwide Wood Economics Spectrum 2 . L E a D I N G D I M E N S I O N S I N W O O D F U N C T I O N , 2022 .
[307] Daniel M. Johnson,et al. Xylem hydraulic safety margins in woody plants: coordination of stomatal control of xylem tension with hydraulic capacitance , 2009 .
[308] Renata Vezzoli,et al. Tree-grass co-existence in savanna: Interactions of rain and fire. , 2010, Journal of theoretical biology.
[309] G. Bonan. Land-Atmosphere interactions for climate system Models: coupling biophysical, biogeochemical, and ecosystem dynamical processes , 1995 .
[310] K. Mott,et al. Testing a vapour-phase model of stomatal responses to humidity. , 2013, Plant, cell & environment.
[311] J. R. Evans. Photosynthesis and nitrogen relationships in leaves of C3 plants , 2004, Oecologia.
[312] Jitendra Kumar,et al. Root structural and functional dynamics in terrestrial biosphere models--evaluation and recommendations. , 2015, The New phytologist.
[313] D. Lawlor,et al. Causes of Decreased Photosynthetic Rate and Metabolic Capacity in Water-deficient Leaf Cells: a Critical Evaluation of Mechanisms and Integration of Processes , 1996 .
[314] Hisashi Sato,et al. SEIB–DGVM: A new Dynamic Global Vegetation Model using a spatially explicit individual-based approach , 2007 .
[315] Amilcare Porporato,et al. Optimizing stomatal conductance for maximum carbon gain under water stress: a meta-analysis across plant functional types and climates , 2011 .
[316] Mariana Vertenstein,et al. The Community Land Model's Dynamic Global Vegetation Model (CLM-DGVM): Technical description and user's guide , 2004 .
[317] L. Aragão,et al. Exploring the likelihood and mechanism of a climate-change-induced dieback of the Amazon rainforest , 2009, Proceedings of the National Academy of Sciences.
[318] David Crisp,et al. The Orbiting Carbon Observatory (OCO-2): spectrometer performance evaluation using pre-launch direct sun measurements , 2014 .
[319] Christopher B. Field,et al. Nitrogen Controls on Climate Model Evapotranspiration , 2002 .
[320] R. Zweifel,et al. Link between diurnal stem radius changes and tree water relations. , 2001, Tree physiology.
[321] T. McMahon,et al. Estimating actual, potential, reference crop and pan evaporation using standard meteorological data: a pragmatic synthesis , 2013 .
[322] G. Katul,et al. Relationship between plant hydraulic and biochemical properties derived from a steady‐state coupled water and carbon transport model , 2003 .
[323] G. Goldstein,et al. Biophysical properties and functional significance of stem water storage tissues in Neotropical savanna trees. , 2007, Plant, cell & environment.
[324] Nathan Phillips,et al. Tree water storage and its diurnal dynamics related to sap flow and changes in stem volume in old-growth Douglas-fir trees. , 2007, Tree physiology.
[325] G. Campbell,et al. An Introduction to Environmental Biophysics , 1977 .
[326] Enrique R. Vivoni,et al. Vegetation‐hydrology dynamics in complex terrain of semiarid areas: 2. Energy‐water controls of vegetation spatiotemporal dynamics and topographic niches of favorability , 2008 .
[327] P. Burlando,et al. The role of local‐scale heterogeneities in terrestrial ecosystem modeling , 2015 .
[328] J. H. M. Thornley,et al. Modelling the Components of Plant Respiration: Some Guiding Principles , 2000 .
[329] E. Nikinmaa,et al. Dynamics of leaf gas exchange, xylem and phloem transport, water potential and carbohydrate concentration in a realistic 3-D model tree crown. , 2014, Annals of botany.
[330] Amilcare Porporato,et al. Responses of soil microbial communities to water stress: results from a meta-analysis. , 2012, Ecology.
[331] E. Münch,et al. Die stoffbewegungen in der Pflanze , 1931, Nature.
[332] Jens Kattge,et al. Inclusion of ecologically based trait variation in plant functional types reduces the projected land carbon sink in an earth system model , 2015, Global change biology.
[333] J. Fuhrer,et al. Ecohydrological effects of management on subalpine grasslands: From local to catchment scale , 2014 .
[334] W. R. Gardner. Relation of Root Distribution to Water Uptake and Availability1 , 1964 .
[335] Steven J. Phillips,et al. Shifts in Arctic vegetation and associated feedbacks under climate change , 2013 .
[336] N. McDowell,et al. A global overview of drought and heat-induced tree mortality reveals emerging climate change risks for forests , 2010 .
[337] Jerome K. Vanclay,et al. Forest Growth and Yield Modeling , 2011 .
[338] T. A. Black,et al. Soil-plant nitrogen cycling modulated carbon exchanges in a western temperate conifer forest in Canada , 2006 .
[339] Yan Sun,et al. Change in terrestrial ecosystem water‐use efficiency over the last three decades , 2015, Global change biology.
[340] L. Sack,et al. Global analysis of plasticity in turgor loss point, a key drought tolerance trait. , 2014, Ecology letters.
[341] Barbara L. Gartner,et al. Cavitation and water storage capacity in bole xylem segments of mature and young Douglas-fir trees , 2001, Trees.
[342] E. Fischer,et al. Soil Moisture–Atmosphere Interactions during the 2003 European Summer Heat Wave , 2007 .
[343] G. Kohlmaier,et al. The Frankfurt Biosphere Model: a global process-oriented model of seasonal and long-term CO2 exchange between terrestrial ecosystems and the atmosphere. I. Model description and illustrative results for cold deciduous and boreal forests , 1994 .
[344] T. Buckley,et al. The control of stomata by water balance. , 2005, The New phytologist.
[345] I. E. Woodrow,et al. A Model Predicting Stomatal Conductance and its Contribution to the Control of Photosynthesis under Different Environmental Conditions , 1987 .
[346] Eero Nikinmaa,et al. A physiological model of softwood cambial growth. , 2010, Tree physiology.
[347] S. Wofsy,et al. Responses of terrestrial ecosystems and carbon budgets to current and future environmental variability , 2010, Proceedings of the National Academy of Sciences.
[348] Lawren Sack,et al. Leaf hydraulics. , 2006, Annual review of plant biology.
[349] Mathieu Javaux,et al. A one-dimensional model of water flow in soil-plant systems based on plant architecture , 2011, Plant and Soil.
[350] R. Turgeon. The Puzzle of Phloem Pressure1 , 2010, Plant Physiology.
[351] R. Dewar,et al. Drought-related tree mortality: addressing the gaps in understanding and prediction. , 2015, The New phytologist.
[352] S. Wofsy,et al. Mechanistic scaling of ecosystem function and dynamics in space and time: Ecosystem Demography model version 2 , 2009 .
[353] D. Woodruff,et al. Size-Dependent Changes in Biophysical Control of Tree Growth: The Role of Turgor , 2011 .
[354] W. Lucht,et al. Terrestrial vegetation and water balance-hydrological evaluation of a dynamic global vegetation model , 2004 .
[355] Enrica Caporali,et al. A mechanistic ecohydrological model to investigate complex interactions in cold and warm water‐controlled environments: 1. Theoretical framework and plot‐scale analysis , 2012 .
[356] Alex Hall,et al. Application of three-dimensional solar radiative transfer to mountains , 2006 .
[357] S. P. Anderson,et al. Physical and Chemical Controls on the Critical Zone , 2007 .
[358] Yiqi Luo,et al. Soil carbon sensitivity to temperature and carbon use efficiency compared across microbial-ecosystem models of varying complexity , 2014, Biogeochemistry.
[359] Duration and frequency of water stress in vegetation: An analytical model , 2000 .
[360] S. Schymanski,et al. Stomatal optimisation in relation to atmospheric CO2. , 2014, The New phytologist.
[361] Marco Mancini,et al. Parsimonious modeling of vegetation dynamics for ecohydrologic studies of water‐limited ecosystems , 2005 .
[362] Hans-Jörg Vogel,et al. Dynamics of soil water content in the rhizosphere , 2010, Plant and Soil.
[363] Wolfgang Cramer,et al. A simulation model for the transient effects of climate change on forest landscapes , 1993 .
[364] Christoforos Pappas,et al. Modeling terrestrial carbon and water dynamics across climatic gradients: does plant trait diversity matter? , 2016, The New phytologist.
[365] Atul K. Jain,et al. The distribution of soil phosphorus for global biogeochemical modeling , 2012 .
[366] I. Prentice,et al. The optimal stomatal response to atmospheric CO2 concentration: Alternative solutions, alternative interpretations , 2013 .
[367] Meghan L. Avolio,et al. Toward a better integration of biological data from precipitation manipulation experiments into Earth system models , 2014 .
[368] Kathy Steppe,et al. Stored water use and transpiration in Scots pine: a modeling analysis with ANAFORE. , 2007, Tree physiology.
[369] Christopher B. Field,et al. photosynthesis--nitrogen relationship in wild plants , 1986 .
[370] Y. Gibon,et al. Water deficits uncouple growth from photosynthesis, increase C content, and modify the relationships between C and growth in sink organs. , 2011, Journal of experimental botany.
[371] T. Bohr,et al. Analytic solutions and universal properties of sugar loading models in Münch phloem flow. , 2012, Journal of theoretical biology.
[372] R. Schnur,et al. Climate-carbon cycle feedback analysis: Results from the C , 2006 .
[373] Martha C. Anderson,et al. An analytical model for estimating canopy transpiration and carbon assimilation fluxes based on canopy light-use efficiency , 2000 .
[374] J. Webster,et al. Effects of lateral nitrate flux and instream processes on dissolved inorganic nitrogen export in a forested catchment: A model sensitivity analysis , 2015 .
[375] I. C. Prentice,et al. A dynamic global vegetation model for studies of the coupled atmosphere‐biosphere system , 2005 .
[376] I. C. Prentice,et al. Evaluation of ecosystem dynamics, plant geography and terrestrial carbon cycling in the LPJ dynamic global vegetation model , 2003 .
[377] Andrew D. Friend,et al. Carbon and nitrogen cycle dynamics in the O‐CN land surface model: 1. Model description, site‐scale evaluation, and sensitivity to parameter estimates , 2010 .
[378] J. Lockhart. An analysis of irreversible plant cell elongation. , 1965, Journal of theoretical biology.
[379] G. Farquhar,et al. The effect of exogenous abscisic acid on stomatal development, stomatal mechanics, and leaf gas exchange in Tradescantia virginiana. , 2001, Plant physiology.
[380] J. Monteith. Evaporation and environment. , 1965, Symposia of the Society for Experimental Biology.
[381] K. Steppe,et al. Phloem transport: a review of mechanisms and controls. , 2013, Journal of experimental botany.
[382] E. Nikinmaa,et al. Linking phloem function to structure: analysis with a coupled xylem-phloem transport model. , 2009, Journal of theoretical biology.
[383] S. Wofsy,et al. Root niche separation can explain avoidance of seasonal drought stress and vulnerability of overstory trees to extended drought in a mature Amazonian forest , 2012 .
[384] Kathy Steppe,et al. Tree girdling responses simulated by a water and carbon transport model. , 2011, Annals of botany.
[385] Maciej A. Zwieniecki,et al. Vascular transport in plants , 2005 .
[386] W. R. Whalley,et al. Roots, water, and nutrient acquisition: let's get physical. , 2012, Trends in plant science.
[387] Menachem Moshelion,et al. Role of aquaporins in determining transpiration and photosynthesis in water-stressed plants: crop water-use efficiency, growth and yield. , 2015, Plant, cell & environment.
[388] C. Justice,et al. A Revised Land Surface Parameterization (SiB2) for Atmospheric GCMS. Part II: The Generation of Global Fields of Terrestrial Biophysical Parameters from Satellite Data , 1996 .
[389] S. Levis,et al. Modeling vegetation and land use in models of the Earth System , 2010 .
[390] S. Dekker,et al. A critical transition in leaf evolution facilitated the Cretaceous angiosperm revolution , 2012, Nature Communications.
[391] G. Collatz,et al. Physiological and environmental regulation of stomatal conductance, photosynthesis and transpiration: a model that includes a laminar boundary layer , 1991 .
[392] R. Knight,et al. Soil Moisture Measurement for Ecological and Hydrological Watershed‐Scale Observatories: A Review , 2008 .
[393] A. Porporato,et al. Optimal plant water‐use strategies under stochastic rainfall , 2014 .
[394] S. Manzoni,et al. Contrasting leaf phenological strategies optimize carbon gain under droughts of different duration , 2015 .
[395] Ge Sun,et al. Model estimates of net primary productivity, evapotranspiration, and water use efficiency in the terrestrial ecosystems of the southern United States during 1895–2007 , 2010 .
[396] Mª Victoria Cuevas Sánchez,et al. Irrigation scheduling from stem diameter variations: A review , 2010 .
[397] Daniel S. Goll,et al. Nutrient limitation reduces land carbon uptake in simulations with a model of combined carbon, nitrogen and phosphorus cycling , 2012 .
[398] L. Merbold,et al. Experiments to confront the environmental extremes of climate change , 2015 .
[399] J. Randerson,et al. Technical Description of version 4.0 of the Community Land Model (CLM) , 2010 .
[400] Hervé Cochard,et al. An overview of models of stomatal conductance at the leaf level. , 2010, Plant, cell & environment.
[401] A. Verhoef,et al. Towards an improved and more flexible representation of water stress in coupled photosynthesis-stomatal conductance models. , 2011 .
[402] David Peak,et al. A new, vapour-phase mechanism for stomatal responses to humidity and temperature. , 2011, Plant, cell & environment.
[403] Vinay Pagay,et al. The Physicochemical Hydrodynamics of Vascular Plants , 2014 .
[404] M. Moghaddam,et al. Temporal dynamics of soil moisture in a northern temperate mixed successional forest after a prescribed intermediate disturbance , 2013 .
[405] Mario Putti,et al. A comparison of Picard and Newton iteration in the numerical solution of multidimensional variably saturated flow problems , 1994 .
[406] S. Fatichi,et al. Reconciling observations with modeling: The fate of water and carbon allocation in a mature deciduous forest exposed to elevated CO2 , 2013 .
[407] G. Goldsmith. Changing directions: the atmosphere-plant-soil continuum. , 2013, The New phytologist.
[408] W. Schlesinger,et al. Transpiration in the global water cycle , 2014 .
[409] Jan Vanderborght,et al. A simple three-dimensional macroscopic root water uptake model based on the hydraulic architecture approach , 2012 .
[410] R. Bras,et al. Vegetation-modulated landscape evolution: Effects of vegetation on landscape processes, drainage density, and topography , 2004 .
[411] D. Nepstad,et al. Mortality of large trees and lianas following experimental drought in an Amazon forest. , 2007, Ecology.
[412] R. Betts,et al. Amazonian forest dieback under climate-carbon cycle projections for the 21st century , 2004 .
[413] Feifei Pan,et al. Catchment hydrological responses to forest harvest amount and spatial pattern , 2011 .
[414] Kathy Steppe,et al. ANAFORE: A stand-scale process-based forest model that includes wood tissue development and labile carbon storage in trees , 2008 .
[415] M. Celia,et al. A General Mass-Conservative Numerical Solution for the Unsaturated Flow Equation , 1990 .
[416] Scott J Goetz,et al. Seasonal and interannual variability of climate and vegetation indices across the Amazon , 2010, Proceedings of the National Academy of Sciences.
[417] F. Woodward,et al. The role of stomata in sensing and driving environmental change , 2003, Nature.
[418] P. Reich. The world‐wide ‘fast–slow’ plant economics spectrum: a traits manifesto , 2014 .
[419] R. Dickinson,et al. Increased dry-season length over southern Amazonia in recent decades and its implication for future climate projection , 2013, Proceedings of the National Academy of Sciences.
[420] E. Nikinmaa,et al. Modeling xylem and phloem water flows in trees according to cohesion theory and Münch hypothesis , 2005, Trees.
[421] M. Sivapalan,et al. Spatial scale dependence of ecohydrologically mediated water balance partitioning: A synthesis framework for catchment ecohydrology , 2011 .
[422] Nuno Carvalhais,et al. Implications of the carbon cycle steady state assumption for biogeochemical modeling performance and inverse parameter retrieval , 2008 .
[423] W. Post,et al. Development of microbial-enzyme-mediated decomposition model parameters through steady-state and dynamic analyses. , 2013, Ecological applications : a publication of the Ecological Society of America.
[424] Ernst Steudle,et al. Water uptake by plant roots: an integration of views , 2000, Plant and Soil.
[425] William J. Massman,et al. Reflections on the surface energy imbalance problem , 2012 .
[426] I. C. Prentice,et al. How should we model plant responses to drought? An analysis of stomatal and non-stomatal responses to water stress , 2013 .
[427] J. Dozier,et al. Rapid calculation of terrain parameters for radiation modeling from digital elevation data , 1990 .
[428] C. Körner,et al. Hydrological consequences of declining land use and elevated CO2 in alpine grassland , 2013 .
[429] Kevin W. Manning,et al. The community Noah land surface model with multiparameterization options (Noah-MP): 1. Model description and evaluation with local-scale measurements , 2011 .
[430] L. Ridolfi,et al. A flow resistance model for assessing the impact of vegetation on flood routing mechanics , 2011 .
[431] R. Zweifel,et al. Intra-annual radial growth and water relations of trees: implications towards a growth mechanism. , 2006, Journal of experimental botany.
[432] M. Tyree. Review article. The cohesion-tension theory of sap ascent: current controversies , 1997 .
[433] R. Vargas,et al. Nonstructural carbon in woody plants. , 2014, Annual review of plant biology.
[434] D. Nepstad,et al. Interactions among Amazon land use, forests and climate: prospects for a near-term forest tipping point , 2008, Philosophical Transactions of the Royal Society B: Biological Sciences.
[435] Mark A. Bradford,et al. Soil-carbon response to warming dependent on microbial physiology , 2010 .
[436] G. Powell,et al. High-resolution forest carbon stocks and emissions in the Amazon , 2010, Proceedings of the National Academy of Sciences.
[437] R. Betts,et al. Climate Change, Deforestation, and the Fate of the Amazon , 2008, Science.
[438] M. G. Ryan,et al. Phloem transport in trees. , 2014, Tree physiology.
[439] T. Jackson,et al. Development of a distributed biosphere hydrological model and its evaluation with the Southern Great Plains Experiments (SGP97 and SGP99) , 2009 .
[440] Luca Ridolfi,et al. On the spatial and temporal links between vegetation, climate, and soil moisture , 1999 .
[441] Claude Doussan,et al. Modelling of the Hydraulic Architecture of Root Systems: An Integrated Approach to Water Absorption—Distribution of Axial and Radial Conductances in Maize , 1998 .
[442] H. Griffiths,et al. Plant responses to water stress. , 2002, Annals of botany.
[443] John W. Pomeroy,et al. Simulation of snow accumulation and melt in needleleaf forest environments , 2010 .
[444] A. Nardini,et al. Global convergence in the vulnerability of forests to drought , 2012, Nature.
[445] I. Dodd. Abscisic acid and stomatal closure: a hydraulic conductance conundrum? , 2013, The New phytologist.
[446] 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.
[447] M. G. Ryan,et al. Feature: Improving our knowledge of drought-induced forest mortality through experiments, observations, and modeling. , 2013, The New phytologist.
[448] Rainer Hedrich,et al. In the light of stomatal opening: new insights into 'the Watergate'. , 2005, The New phytologist.
[449] S. Schwinning. The ecohydrology of roots in rocks , 2010 .
[450] R. Dewar. Interpretation of an empirical model for stomatal conductance in terms of guard cell function , 1995 .
[451] T. David,et al. Trees never rest: the multiple facets of hydraulic redistribution , 2010 .
[452] Role of aquaporin activity in regulating deep and shallow root hydraulic conductance during extreme drought , 2014, Trees.
[453] Jiancheng Shi,et al. The Soil Moisture Active Passive (SMAP) Mission , 2010, Proceedings of the IEEE.
[454] D. Mackay,et al. Competition for Light Between Individual Trees Lowers Reference Canopy Stomatal Conductance: Results from a Model , 2010 .
[455] G. Vert,et al. Plant Nutrition: Root Transporters on the Move1 , 2014, Plant Physiology.
[456] 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.
[457] A. Gitelson,et al. The need for a common basis for defining light-use efficiency: Implications for productivity estimation , 2015 .
[458] R. B. Jackson,et al. Hydraulic limits on maximum plant transpiration and the emergence of the safety-efficiency trade-off. , 2013, The New phytologist.
[459] Hans Peter Schmid,et al. Chronic water stress reduces tree growth and the carbon sink of deciduous hardwood forests , 2014, Global change biology.
[460] E. A. Kort,et al. Enhanced Seasonal Exchange of CO2 by Northern Ecosystems Since 1960 , 2013, Science.
[461] Amilcare Porporato,et al. Soil carbon and nitrogen mineralization: Theory and models across scales , 2009 .
[462] Stephen Sitch,et al. Dynamic global vegetation modelling: quantifying terrestrial ecosystem responses to large-scale environmental change , 2007 .
[463] H. Mooney,et al. Biodiversity, climate change, and ecosystem services , 2009 .
[464] Simon Scheiter,et al. Next-generation dynamic global vegetation models: learning from community ecology. , 2013, The New phytologist.
[465] Sean C. Thomas,et al. The worldwide leaf economics spectrum , 2004, Nature.
[466] Enrique R. Vivoni,et al. Vegetation‐hydrology dynamics in complex terrain of semiarid areas: 1. A mechanistic approach to modeling dynamic feedbacks , 2008 .
[467] J. Vrugt,et al. On the value of soil moisture measurements in vadose zone hydrology: A review , 2008 .
[468] Erkan Istanbulluoglu,et al. Evaluation of ecohydrologic model parsimony at local and regional scales in a semiarid grassland ecosystem , 2010 .
[469] L. Sack,et al. Leaf venation: structure, function, development, evolution, ecology and applications in the past, present and future. , 2013, The New phytologist.
[470] K. Oleson,et al. A dynamic global vegetation model for use with climate models: concepts and description of simulated vegetation dynamics , 2003 .
[471] E. Davidson,et al. Using model‐data fusion to interpret past trends, and quantify uncertainties in future projections, of terrestrial ecosystem carbon cycling , 2012 .
[472] Olivier Boucher,et al. Projected increase in continental runoff due to plant responses to increasing carbon dioxide , 2007, Nature.
[473] Kathy Steppe,et al. Development and verification of a water and sugar transport model using measured stem diameter variations. , 2010, Journal of experimental botany.
[474] E. Nikinmaa,et al. Concurrent measurements of change in the bark and xylem diameters of trees reveal a phloem-generated turgor signal. , 2013, The New phytologist.
[475] Giacomo Bertoldi,et al. Modelling changes in grassland hydrological cycling along an elevational gradient in the Alps , 2014 .
[476] Scott J. Goetz,et al. Shrub expansion and climate feedbacks in Arctic tundra , 2012 .
[477] D. Lawrence,et al. Parameterization improvements and functional and structural advances in Version 4 of the Community Land Model , 2011 .
[478] L. D. Talbott,et al. The role of sucrose in guard cell osmoregulation , 1998 .
[479] I. C. Prentice,et al. Optimal stomatal behaviour around the world , 2015 .