Data Basin is a science-based mapping and analysis platform that supports learning, research, and sustainable environmental stewardship.
More about Data Basin…
Your workspace is your dashboard for accessing and managing your content, bookmarks, and groups, as well as viewing messages and seeing your recently viewed content.
You need to be signed in to access your workspace.
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. The results show that the model is very sensitive to soil depth in simulations of carbon and hydrological variables, but competing algorithms make the fire module less sensitive to changes in soil depth.
Data Provided By:
Ken Ferscweiler and Wendy Peterman, Conservation Biology Institute
Content date:
not specified
Citation:
Peterman, W., Bachelet, D., Ferschweiler, K., Sheehan, T. 2014. Soil depth affects simulated carbon and water in the MC2 dynamic global vegetation model. Ecological Modelling 294: 84-93.
Layers in this dataset are based on combinations of the following options.
You may choose from these options to select a specific layer on the map page.
I am a soil scientist for the Forest Service. I analyze soils for past, present and future disturbance from humans and recommend mitigation and/or restoration measures to maintain soil productivity and water quality on public lands in Oregon.