Filters: Tags: vegetation model (X) > Types: Citation (X)
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Climate change has significant effects on critical ecosystem functions such as carbon and water cycling. Vegetation and especially forest ecosystems play an important role in the carbon and hydrological cycles. Vegetation models that include detailed belowground processes require accurate soil data to decrease uncertainty and increase realism in their simulations. The MC2 DGVM uses three modules to simulate biogeography, biogeochemistry and fire effects, all three of which use soil data either directly or indirectly. This study includes a correlation analysis of the MC2 model to soil depth by comparing a subset of the model’s carbon and hydrological outputs using soil depth data of different scales and qualities....
Categories: Data,
Publication;
Types: Citation;
Tags: Carbon,
Climate change,
Correlation analysis,
DGVM,
LCC Network Science Catalog,
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