Definition
A Terrestrial Ecosystem Carbon Model (TECM) is a category of process-based ecosystem models that describe carbon dynamics of plants and soils within global terrestrial ecosystems. A TECM generally uses spatially explicit information on climate/weather, elevation, soils, vegetation, and water availability as well as soil- and vegetation-specific parameters to make estimates of important carbon fluxes and carbon pool sizes in terrestrial ecosystems.
Discussion
Introduction
Terrestrial ecosystems are a primary component of research on global environmental change. Observational and modeling research on terrestrial ecosystems at the global scale, however, has lagged behind their counterparts for oceanic and atmospheric systems, largely because of the unique challenges associated with the tremendous diversity and complexity of terrestrial ecosystems. There are eight major...
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsBibliography
Bacastow RB, Keeling CD (1973) Atmospheric carbon dioxide and radiocarbon in the natural carbon cycle: II. Changes from AD 1700 to 2070 as deduced from a geochemical model. In: Woodwell GM, Pecan EV (eds) Carbon and the biosphere. CONF-720510. National Technical Information Service, Springfield, Virginia, pp 86–135
Emanuel WR, Killough GG, Post WM, Shugart HH (1984) Modeling terrestrial ecosystems in the global carbon cycle with shifts in carbon storage capacity by land-use change. Ecology 65(3): 970–983
Lieth H (1975) Modeling the primary productivity of the world. In: Lieth H, Wittaker RH (eds) Primary productivity of the biosphere, ecological studies, vol 14. Springer-Verlag, New York, pp 237–283
Sellers JP, Randell DA, Collatz GJ, Berry JA, Field CB, Dazlich DA, Zhang C, Collelo GD, Bounua L (1996) A revised land surface parametrization (SiB 2) for atmospheric GCMs. Part I: model formulation. J Climate 9:676–705
Dickinson R, Henderson-sellers A, Kennedy P (1993) Biosphere-atmosphere transfer scheme (BATS) version as coupled to the NCAR community climate model. Technical report, National Center for Atmospheric Research
Ducoudré N, Laval K, Perrier A (1993) SECHIBA, a new set of parametrizations of the hydrologic exchanges at the land/ atmosphere interface within the LMD atmospheric general circulation model. J Climate 6(2):248–273
Friend AD, Stevens AK, Knox RG, Cannell MGR (1997) A process-based, terrestrial biosphere model of ecosystem dynamics (Hybrid v3.0). Ecol Model 95:249–287
Prentice IC, Heimann M, Sitch S (2000) The carbon balance of the terrestrial biosphere: ecosystem models and atmospheric observations. Ecol Appl 10:1553–1573
Moorcroft P, Hurtt GC, Pacala SW (2001) A method for scaling vegetation dynamics: the ecosystem demography model (ED). Ecol Monogr 71(4):557–586
Govindarajan S, Dietze MC, Agarwal PK, Clark JS (2004) A scalable simulator for forest dynamics. In: Proceedings of the twentieth annual symposium on computational geometry SCG 04, Brooklyn, NY, pp 106–115, doi:10.1145/997817.997836
Yang W, Ni-Meister W, Kiang NY, Moorcroft P, Strahler AH, Oliphant A (2010) A clumped-foliage canopy radiative transfer model for a Global Dynamic Terrestrial Ecosystem Model II: Comparison to measurements. Agricultural and Forest Meteorology, 150(7):895–907, doi:10.1016/j.agrformet.2010.02.008
Trabalka JR, Reichle DE (ed) (1986) The changing carbon cycle: a global analysis. Springer-Verlag, Berlin
Field CB, Raupach MR (ed) (2004) The global carbon cycle: integrating human, climate, and the natural world. Island, Washington, DC
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer Science+Business Media, LLC
About this entry
Cite this entry
Wang, D., Ricciuto, D., Post, W., Berry, M.W. (2011). Terrestrial Ecosystem Carbon Modeling. In: Padua, D. (eds) Encyclopedia of Parallel Computing. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-09766-4_395
Download citation
DOI: https://doi.org/10.1007/978-0-387-09766-4_395
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-387-09765-7
Online ISBN: 978-0-387-09766-4
eBook Packages: Computer ScienceReference Module Computer Science and Engineering