Dynamic Global Vegetation Models
作者： Iain Colin Prentice , Sharon A. Cowling
DOI: 10.1016/B978-0-12-384719-5.00412-3
关键词: Biosphere 、 Water cycle 、 Earth science 、 Ecology 、 Ecosystem 、 Dynamic global vegetation model 、 Functional ecology 、 Carbon cycle 、 Environmental science 、 Climate change 、 Vegetation
摘要: Dynamic global vegetation models encapsulate our knowledge of plant and ecosystem function. They have many potential applications but not all these are well developed, large differences among model predictions a concern. Fields application include analysis land–atmosphere biophysical interactions, carbon water cycling, climate impacts on structure, fire, atmospheric trace gas composition, Quaternary environmental changes, structure function through Earth history. There is scope to improve using wider range information from functional ecology, ecophysiology, remote sensing, measurement, paleoecology, paleobotany.
sci-hub.se 参考文章(270)
Steven W. Running, E. Raymond Hunt, 8 – Generalization of a Forest Ecosystem Process Model for Other Biomes, BIOME-BGC, and an Application for Global-Scale Models Scaling Physiological Processes#R##N#Leaf to Globe. pp. 141- 158 ,(1993) , 10.1016/B978-0-12-233440-5.50014-2
Chris Huntingford, Icarus Allen, Oliver Wild, Jason Lowe, Robin S. Smith, Manoj Joshi, William J. Collins, Sarah Cornell, Marko Scholze, Earth system models: a tool to understand changes in the Earth system Cambridge University Press. ,(2012)
Eric W. Wolff, Sandy P. Harrison, Reto Knutti, Maria Fernanda Sanchez-Goñi, Oliver Wild, Anne-Laure Daniau, Valérie Masson-Delmotte, I. Colin Prentice, Renato Spahni, How has climate responded to natural perturbations? Understanding the Earth System. pp. 72- 101 ,(2012) , 10.1017/CBO9780511921155.006
G. D. Farquhar, Ying Ping Wang, D. G. G. De Pury, R. Leuning, A commentary on the use of a sun/shade model to scale from the leaf to a canopy. Authors' reply Agricultural and Forest Meteorology. ,vol. 95, pp. 257- 265 ,(1999)
J. Timothy Ball, Ian E. Woodrow, Joseph A. Berry, A Model Predicting Stomatal Conductance and its Contribution to the Control of Photosynthesis under Different Environmental Conditions Prog. Photosynthesis Res. Proc. Int. Congress 7th, Providence. 10-15 Aug 1986. Vol4. Kluwer, Boston.. pp. 221- 224 ,(1987) , 10.1007/978-94-017-0519-6_48
Martin T. Sykes, Wolfgang Cramer, I. Colin Prentice, A bioclimatic model for the potential distributions of North European tree species under present and future climates Journal of Biogeography. ,vol. 23, pp. 203- 233 ,(1996) , 10.1046/J.1365-2699.1996.D01-221.X
Valeriy Y. Ivanov, Rafael L. Bras, Enrique R. Vivoni, Vegetation-hydrology dynamics in complex terrain of semiarid areas: 1. A mechanistic approach to modeling dynamic feedbacks Water Resources Research. ,vol. 44, ,(2008) , 10.1029/2006WR005588
P. Cadule, P. Friedlingstein, L. Bopp, S. Sitch, C. D. Jones, P. Ciais, S. L. Piao, P. Peylin, Benchmarking coupled climate‐carbon models against long‐term atmospheric CO2 measurements Global Biogeochemical Cycles. ,vol. 24, ,(2010) , 10.1029/2009GB003556
Stefan Gerber, Lars O. Hedin, Michael Oppenheimer, Stephen W. Pacala, Elena Shevliakova, Nitrogen cycling and feedbacks in a global dynamic land model Global Biogeochemical Cycles. ,vol. 24, ,(2010) , 10.1029/2008GB003336
Guiling Wang, Assessing the potential hydrological impacts of hydraulic redistribution in Amazonia using a numerical modeling approach Water Resources Research. ,vol. 47, ,(2011) , 10.1029/2010WR009601