On the uncertainty of phenological responses to climate change, and implications for a terrestrial biosphere model
暂无分享,去创建一个
Mirco Migliavacca | Oliver Sonnentag | Andrew D. Richardson | Trevor F. Keenan | O. Sonnentag | M. Migliavacca | A. Richardson | T. Keenan | J. O'keefe | A. Cescatti | John O'Keefe | A. Cescatti
[1] J. Monteith,et al. Principles of Environmental Physics , 2014 .
[2] E. Davidson,et al. Using model‐data fusion to interpret past trends, and quantify uncertainties in future projections, of terrestrial ecosystem carbon cycling , 2012 .
[3] Philippe Ciais,et al. Terrestrial biosphere model performance for inter‐annual variability of land‐atmosphere CO2 exchange , 2012 .
[4] Z. Govindarajulu,et al. Rank Correlation Methods (5th ed.) , 2012 .
[5] Y. Xue,et al. Terrestrial biosphere models need better representation of vegetation phenology: results from the North American Carbon Program Site Synthesis , 2012 .
[6] Markus Reichstein,et al. The model–data fusion pitfall: assuming certainty in an uncertain world , 2011, Oecologia.
[7] J. Chen,et al. Spatially distributed modeling of the long-term carbon balance of a boreal landscape , 2011 .
[8] Sylvain Delzon,et al. Assessing the effects of climate change on the phenology of European temperate trees , 2011 .
[9] Chang-Hoi Ho,et al. Phenology shifts at start vs. end of growing season in temperate vegetation over the Northern Hemisphere for the period 1982–2008 , 2011 .
[10] D. Lawrence,et al. Parameterization improvements and functional and structural advances in Version 4 of the Community Land Model , 2011 .
[11] P. Ciais,et al. Influence of spring and autumn phenological transitions on forest ecosystem productivity , 2010, Philosophical Transactions of the Royal Society B: Biological Sciences.
[12] Allison L. Steiner,et al. Ecological forecasting under climatic data uncertainty: a case study in phenological modeling , 2010 .
[13] C. Körner,et al. Response—Warming, Photoperiods, and Tree Phenology , 2010 .
[14] Harald Bugmann,et al. Warming, photoperiods, and tree phenology. , 2010, Science.
[15] Jacques Roy,et al. Changes in leaf phenology of three European oak species in response to experimental climate change. , 2010, The New phytologist.
[16] E. Davidson,et al. Estimating parameters of a forest ecosystem C model with measurements of stocks and fluxes as joint constraints , 2010, Oecologia.
[17] Ian G. Enting,et al. A review of applications of model–data fusion to studies of terrestrial carbon fluxes at different scales , 2009 .
[18] Peter E. Thornton,et al. Systematic assessment of terrestrial biogeochemistry in coupled climate–carbon models , 2009 .
[19] J. Abatzoglou,et al. Tracking the rhythm of the seasons in the face of global change: phenological research in the 21st century. , 2009 .
[20] 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 .
[21] C. Augspurger,et al. Leaf phenology in 22 North American tree species during the 21st century , 2009 .
[22] D. Hollinger,et al. Influence of spring phenology on seasonal and annual carbon balance in two contrasting New England forests. , 2009, Tree physiology.
[23] Michele Meroni,et al. Modeling Gross Primary Production of Agro-Forestry Ecosystems by Assimilation of Satellite-Derived Information in a Process-Based Model , 2009, Sensors.
[24] Andrew D. Richardson,et al. Phenological Differences Between Understory and Overstory , 2009 .
[25] Andrew D. Richardson,et al. Phenological Differences Between Understory and Overstory: A Case Study Using the Long-Term Harvard Forest Records , 2009 .
[26] J. Paruelo,et al. How to evaluate models : Observed vs. predicted or predicted vs. observed? , 2008 .
[27] Jinhong Zhu,et al. Regional climate change projections for the Northeast USA , 2008 .
[28] Weimin Ju,et al. Spatially explicit simulation of peatland hydrology and carbon dioxide exchange: Influence of mesoscale topography , 2008 .
[29] V. Dose,et al. Norway spruce (Picea abies): Bayesian analysis of the relationship between temperature and bud burst , 2008 .
[30] D. Baldocchi. ‘Breathing’ of the terrestrial biosphere: lessons learned from a global network of carbon dioxide flux measurement systems , 2008 .
[31] S. Schneider,et al. Climate Change 2007 Synthesis report , 2008 .
[32] S. Wofsy,et al. Factors controlling CO2 exchange on timescales from hourly to decadal at Harvard Forest , 2007 .
[33] Cynthia Rosenzweig,et al. Assessment of observed changes and responses in natural and managed systems , 2007 .
[34] T. A. Black,et al. Modelling multi-year coupled carbon and water fluxes in a boreal aspen forest , 2006 .
[35] J. Peñuelas,et al. European phenological response to climate change matches the warming pattern , 2006 .
[36] S. Klein,et al. GFDL's CM2 Global Coupled Climate Models. Part I: Formulation and Simulation Characteristics , 2006 .
[37] R. Ahas,et al. Onset of spring starting earlier across the Northern Hemisphere , 2006 .
[38] C. Körner,et al. Responses of deciduous forest trees to severe drought in Central Europe. , 2005, Tree physiology.
[39] W. Ju,et al. Distribution of soil carbon stocks in Canada's forests and wetlands simulated based on drainage class, topography and remotely sensed vegetation parameters , 2005 .
[40] A. G. Barr,et al. Response of Net Ecosystem Productivity of Three Boreal Forest Stands to Drought , 2005, Ecosystems.
[41] Gordon B. Bonan,et al. Simulating Springtime Temperature Patterns in the Community Atmosphere Model Coupled to the Community Land Model Using Prognostic Leaf Area , 2004 .
[42] David M. Lawrence,et al. An annual cycle of vegetation in a GCM. Part I: implementation and impact on evaporation , 2004 .
[43] M. Lechowicz,et al. Foliage quality changes during canopy development of some northern hardwood trees , 1992, Oecologia.
[44] David R. Anderson,et al. Model selection and multimodel inference : a practical information-theoretic approach , 2003 .
[45] Jörg Schaber,et al. Physiology-based phenology models for forest tree species in Germany , 2003, International journal of biometeorology.
[46] F. Turkheimer,et al. On the Undecidability among Kinetic Models: From Model Selection to Model Averaging , 2003, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.
[47] 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 .
[48] Josef Cihlar,et al. Net primary productivity mapped for Canada at 1-km resolution , 2002 .
[49] K. E. Moore,et al. Climatic Consequences of Leaf Presence in the Eastern United States , 2001 .
[50] I. Chuine,et al. A unified model for budburst of trees. , 2000, Journal of theoretical biology.
[51] David R. Anderson,et al. Null Hypothesis Testing: Problems, Prevalence, and an Alternative , 2000 .
[52] Alexei G. Sankovski,et al. Special report on emissions scenarios , 2000 .
[53] Peter E. Thornton,et al. Parameterization and Sensitivity Analysis of the BIOME–BGC Terrestrial Ecosystem Model: Net Primary Production Controls , 2000 .
[54] Keith Beven,et al. Multi-objective conditioning of a simple SVAT model. , 1999 .
[55] S. Running,et al. The impact of growing-season length variability on carbon assimilation and evapotranspiration over 88 years in the eastern US deciduous forest , 1999, International journal of biometeorology.
[56] Denis-Didier Rousseau,et al. Selecting models to predict the timing of flowering of temperate trees: implications for tree phenology modelling , 1999 .
[57] Denis-Didier Rousseau,et al. Fitting models predicting dates of flowering of temperate‐zone trees using simulated annealing , 1998 .
[58] J. Chen,et al. A process-based boreal ecosystem productivity simulator using remote sensing inputs , 1997 .
[59] S. Running,et al. A continental phenology model for monitoring vegetation responses to interannual climatic variability , 1997 .
[60] Robert J. Scholes,et al. Observations and modeling of biomass and soil organic matter dynamics for the grassland biome worldwide , 1993 .
[61] W. Cleveland,et al. Locally Weighted Regression: An Approach to Regression Analysis by Local Fitting , 1988 .
[62] H. Akaike,et al. Information Theory and an Extension of the Maximum Likelihood Principle , 1973 .
[63] Risto Sarvas,et al. Investigations on the annual cycle of development of forest trees. Active period. , 1972 .
[64] H. Lieth,et al. Phenology, Resource Management, and Synagraphic Computer Mapping , 1971 .
[65] P. Sen. Estimates of the Regression Coefficient Based on Kendall's Tau , 1968 .
[66] N. Metropolis,et al. Equation of State Calculations by Fast Computing Machines , 1953, Resonance.
[67] Maurice G. Kendall,et al. Rank Correlation Methods , 1949 .
[68] H. B. Mann. Nonparametric Tests Against Trend , 1945 .