TY - JOUR
T1 - State-of-the-art of models of production-decomposition linkages in conifer and grassland ecosystems
AU - Agren, G. I.
AU - McMurtrie, R. E.
AU - Parton, W. J.
AU - Pastor, J.
AU - Shugart, H. H.
PY - 1991/1/1
Y1 - 1991/1/1
N2 - Reviews the state-of-the art of models of forests and grasslands that could be used to predict the impact of a future climate change arising from increased atmospheric CO2 concentration. Four levels of resolution are recognized: physiologically based models, population models, ecosystem models, and regional or global models. At the physiological level a number of important processes can be described in greater detail, but these models often treat inadequately interactions with nutrient cycles, which operate on longer time scales. Population and ecosystem models can, on the other hand, encapsulate relationshipos between the plants and the soil system, but at the expense of requiring more ad hoc formulations of processes. At the regional and global scale we have so far only steady-state models, which cannot be used to predict transients caused by climate change. Despite the gaps in knowledge, there are several models based on dominant processes that are well enough understood for the predictions of those models to be taken seriously. -Authors
AB - Reviews the state-of-the art of models of forests and grasslands that could be used to predict the impact of a future climate change arising from increased atmospheric CO2 concentration. Four levels of resolution are recognized: physiologically based models, population models, ecosystem models, and regional or global models. At the physiological level a number of important processes can be described in greater detail, but these models often treat inadequately interactions with nutrient cycles, which operate on longer time scales. Population and ecosystem models can, on the other hand, encapsulate relationshipos between the plants and the soil system, but at the expense of requiring more ad hoc formulations of processes. At the regional and global scale we have so far only steady-state models, which cannot be used to predict transients caused by climate change. Despite the gaps in knowledge, there are several models based on dominant processes that are well enough understood for the predictions of those models to be taken seriously. -Authors
UR - http://www.scopus.com/inward/record.url?scp=0025995111&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0025995111&partnerID=8YFLogxK
U2 - 10.2307/1941806
DO - 10.2307/1941806
M3 - Article
AN - SCOPUS:0025995111
VL - 1
SP - 118
EP - 138
JO - Ecological Appplications
JF - Ecological Appplications
SN - 1051-0761
IS - 2
ER -