Bayesian optimization of a light use efficiency model for the estimation of daily gross primary productivity in a range of Italian forest ecosystems
暂无分享,去创建一个
Damiano Gianelle | Federico Magnani | Alessandro Cescatti | Maurizio Bagnara | Matteo Sottocornola | Leonardo Montagnani | D. Gianelle | A. Cescatti | Leonardo Montagnani | F. Magnani | S. Minerbi | M. Sottocornola | S. Minerbi | M. Bagnara
[1] Steffen Fritz,et al. Improved light and temperature responses for light-use-efficiency-based GPP models , 2013 .
[2] Damian Barrett,et al. Conversion of canopy intercepted radiation to photosynthate: review of modelling approaches for regional scales. , 2003, Functional plant biology : FPB.
[3] Atul K. Jain,et al. A model-data comparison of gross primary productivity: Results from the North American Carbon Program site synthesis , 2012 .
[4] Peter E. Thornton,et al. A diagnostic carbon flux model to monitor the effects of disturbance and interannual variation in climate on regional NEP , 2006 .
[5] S. T. Gower,et al. A cross‐biome comparison of daily light use efficiency for gross primary production , 2003 .
[6] Andrew P. Robinson,et al. Model validation using equivalence tests , 2004 .
[7] S. T. Gower,et al. Direct and Indirect Estimation of Leaf Area Index, fAPAR, and Net Primary Production of Terrestrial Ecosystems , 1999 .
[8] J. Monteith. Climate and the efficiency of crop production in Britain , 1977 .
[9] Henry L. Gholz,et al. Climatic factors controlling the productivity of pine stands: a model-based analysis , 1994 .
[10] Juan A. Blanco,et al. Testing the performance of a forest ecosystem model (FORECAST) against 29 years of field data in a Pseudotsuga menziesii plantation , 2007 .
[11] I. C. Prentice,et al. An integrated biosphere model of land surface processes , 1996 .
[12] A. Mäkelä,et al. Acclimation of photosynthetic capacity in Scots pine to the annual cycle of temperature. , 2004, Tree physiology.
[13] T. A. Black,et al. Optimization of ecosystem model parameters through assimilating eddy covariance flux data with an ensemble Kalman filter , 2008 .
[14] Ron Smith,et al. Bayesian calibration of process-based forest models: bridging the gap between models and data. , 2005, Tree physiology.
[15] Juan A. Blanco,et al. Complexity in modelling forest ecosystems: How much is enough?☆ , 2008 .
[16] Igor Linkov,et al. Untangling drivers of species distributions: Global sensitivity and uncertainty analyses of MaxEnt , 2014, Environ. Model. Softw..
[17] Paola Annoni,et al. Sixth International Conference on Sensitivity Analysis of Model Output How to avoid a perfunctory sensitivity analysis , 2010 .
[18] P. Hari,et al. Uncertainties in measurement and modelling of net ecosystem exchange of a forest , 2006 .
[19] Shaun Quegan,et al. Model–data synthesis in terrestrial carbon observation: methods, data requirements and data uncertainty specifications , 2005 .
[20] L. S. Pereira,et al. Crop evapotranspiration : guidelines for computing crop water requirements , 1998 .
[21] K. Schulz,et al. Identification of a general light use efficiency model for gross primary production , 2010 .
[22] D. Hollinger,et al. MODELING GROSS PRIMARY PRODUCTION OF AN EVERGREEN NEEDLELEAF FOREST USING MODIS AND CLIMATE DATA , 2005 .
[23] Damiano Gianelle,et al. A user-friendly forest model with a multiplicative mathematical structure: a Bayesian approach to calibration , 2014 .
[24] Joe Landsberg,et al. Modelling forest ecosystems: state of the art, challenges, and future directions , 2003 .
[25] Christopher J. Still,et al. Large‐scale plant light‐use efficiency inferred from the seasonal cycle of atmospheric CO2 , 2004 .
[26] R. Waring,et al. A generalised model of forest productivity using simplified concepts of radiation-use efficiency, carbon balance and partitioning , 1997 .
[27] Pierre Hiernaux,et al. Analysis of the in situ and MODIS albedo variability at multiple timescales in the Sahel , 2008 .
[28] David Gustafsson,et al. Simulated climate change impacts on fluxes of carbon in Norway spruce ecosystems along a climatic transect in Sweden , 2008 .
[29] R. D'Arrigo,et al. Monsoon drought over Java, Indonesia, during the past two centuries , 2006 .
[30] Markus Reichstein,et al. On the assignment of prior errors in Bayesian inversions of CO2 surface fluxes , 2006 .
[31] Steven W. Running,et al. Testing scale dependent assumptions in regional ecosystem simulations , 1994 .
[32] D. Hollinger,et al. Statistical modeling of ecosystem respiration using eddy covariance data: Maximum likelihood parameter estimation, and Monte Carlo simulation of model and parameter uncertainty, applied to three simple models , 2005 .
[33] P. Hari,et al. Effects of dormancy and environmental factors on timing of bud burst in Betula pendula. , 1998, Tree physiology.
[34] E. Davidson,et al. A distinct seasonal pattern of the ratio of soil respiration to total ecosystem respiration in a spruce‐dominated forest , 2006 .
[35] W. Oechel,et al. Parallel adjustments in vegetation greenness and ecosystem CO2 exchange in response to drought in a Southern California chaparral ecosystem , 2006 .
[36] Alessandro Cescatti,et al. Importance of advection in the atmospheric CO2 exchanges of an alpine forest , 2005 .
[37] Eero Nikinmaa,et al. Developing an empirical model of stand GPP with the LUE approach: analysis of eddy covariance data at five contrasting conifer sites in Europe , 2007 .
[38] Mark A. Friedl,et al. Using FLUXNET data to improve models of springtime vegetation activity onset in forest ecosystems , 2013 .
[39] T. Vesala,et al. Deriving a light use efficiency model from eddy covariance flux data for predicting daily gross primary production across biomes , 2007 .
[40] T Vesala,et al. Contributions of climate, leaf area index and leaf physiology to variation in gross primary production of six coniferous forests across Europe: a model-based analysis. , 2009, Tree physiology.
[41] J. Yeluripati,et al. A Bayesian framework for model calibration, comparison and analysis: Application to four models for the biogeochemistry of a Norway spruce forest , 2011 .
[42] J. P. Kimmins,et al. Modelling forest ecosystem net primary production : the hybrid simulation approach used in FORECAST , 1999 .
[43] A. Mäkelä,et al. Modelling five years of weather-driven variation of GPP in a boreal forest , 2006 .
[44] A. Arneth,et al. Nitrogen controls plant canopy light-use efficiency in temperate and boreal ecosystems , 2008 .
[45] Christian Feigenwinter,et al. A new mass conservation approach to the study of CO2 advection in an alpine forest , 2009 .
[46] John Skilling,et al. Data analysis : a Bayesian tutorial , 1996 .
[47] Cajo J. F. ter Braak,et al. A Markov Chain Monte Carlo version of the genetic algorithm Differential Evolution: easy Bayesian computing for real parameter spaces , 2006, Stat. Comput..
[48] A. Mäkelä,et al. Does canopy mean nitrogen concentration explain variation in canopy light use efficiency across 14 contrasting forest sites? , 2012, Tree physiology.
[49] Oscar García,et al. Evaluating forest Growth Models , 1997 .
[50] D. Baldocchi. ‘Breathing’ of the terrestrial biosphere: lessons learned from a global network of carbon dioxide flux measurement systems , 2008 .
[51] T. Vesala,et al. On the separation of net ecosystem exchange into assimilation and ecosystem respiration: review and improved algorithm , 2005 .
[52] S. Wellek. Testing Statistical Hypotheses of Equivalence , 2002 .
[53] W. Rawls,et al. Estimating generalized soil-water characteristics from texture , 1986 .
[54] Georgios Xenakis,et al. Sensitivity and uncertainty analysis from a coupled 3-PG and soil organic matter decomposition model , 2008 .