Mapping potential carbon and timber losses from hurricanes using a decision tree and ecosystem services driver model

摘要: Information on the effect of direct drivers such as hurricanes ecosystem services is relevant to landowners and policy makers due predicted effects from climate change. We identified forest damage risk zones estimated potential loss 2 key services: aboveground carbon storage timber volume. Using land cover, plot-level inventory data, Integrated Valuation Ecosystem Services Tradeoffs (InVEST) model, a decision tree-based framework; we determined subtropical forests in Lower Suwannee River (LS) Pensacola Bay (PB) watersheds Florida, US. used biophysical factors previous studies being influential our tree hurricane wind maps. Results show that 31% 0.5% total LS PB, respectively was located high (HR) zones. Overall 15% 0.7% net volume respectively, HR This model can also be for identifying salvage areas, developing service provision management scenarios, assessing other goods.