Premium
An integrated biosphere model of land surface processes, terrestrial carbon balance, and vegetation dynamics
Author(s) -
Foley Jonathan A.,
Prentice I. Colin,
Ramankutty Navin,
Levis Samuel,
Pollard David,
Sitch Steven,
Haxeltine Alex
Publication year - 1996
Publication title -
global biogeochemical cycles
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.512
H-Index - 187
eISSN - 1944-9224
pISSN - 0886-6236
DOI - 10.1029/96gb02692
Subject(s) - biosphere , environmental science , biosphere model , vegetation (pathology) , primary production , evapotranspiration , carbon cycle , biomass (ecology) , terrestrial ecosystem , water balance , atmospheric sciences , ecosystem model , ecosystem , ecology , hydrology (agriculture) , geology , medicine , geotechnical engineering , pathology , biology
Here we present a new terrestrial biosphere model (the Integrated Biosphere Simulator ‐ IBIS) which demonstrates how land surface biophysics, terrestrial carbon fluxes, and global vegetation dynamics can be represented in a single, physically consistent modeling framework. In order to integrate a wide range of biophysical, physiological, and ecological processes, the model is designed around a hierarchical, modular structure and uses a common state description throughout. First, a coupled simulation of the surface water, energy, and carbon fluxes is performed on hourly timesteps and is integrated over the year to estimate the annual water and carbon balance. Next, the annual carbon balance is used to predict changes in the leaf area index and biomass for each of nine plant functional types, which compete for light and water using different ecological strategies. The resulting patterns of annual evapotranspiration, runoff, and net primary productivity are in good agreement with observations. In addition, the model simulates patterns of vegetation dynamics that qualitatively agree with features of the natural process of secondary succession. Comparison of the model's inferred near‐equilibrium vegetation categories with a potential natural vegetation map shows a fair degree of agreement. This integrated modeling framework provides a means of simulating both rapid biophysical processes and long‐term ecosystem dynamics that can be directly incorporated within atmospheric models.