title: Mapping potential carbon and timber losses from hurricanes using a decision tree and ecosystem services driver model.
abstract: Information on the effect of direct drivers such as hurricanes on ecosystem services is relevant to landowners and policy makers due to predicted effects from climate change. We identified forest damage risk zones due to hurricanes and estimated the potential loss of 2 key ecosystem services: aboveground carbon storage and timber volume. Using land cover, plot-level forest inventory data, the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model, and a decision tree-based framework; we determined potential damage to subtropical forests from hurricanes in the Lower Suwannee River (LS) and Pensacola Bay (PB) watersheds in Florida, US. We used biophysical factors identified in previous studies as being influential in forest damage in our decision tree and hurricane wind risk maps. Results show that 31% and 0.5% of the total aboveground carbon storage in the LS and PB, respectively was located in high forest damage risk (HR) zones. Overall 15% and 0.7% of the total timber net volume in the LS and PB, respectively, was in HR zones. This model can also be used for identifying timber salvage areas, developing ecosystem service provision and management scenarios, and assessing the effect of other drivers on ecosystem services and goods.
authors.affiliation: School of Forest Resources and Conservation, University of Florida, 350 Newins Ziegler Hall, PO Box 110410, Gainesville, FL 32611, USA. Electronic address: sdelphin@ufl.edu.
authors.forename: S
authors.initials: S
authors.lastname: Delphin
authors.forename: F J
authors.initials: FJ
authors.lastname: Escobedo
authors.forename: A
authors.initials: A
authors.lastname: Abd-Elrahman
authors.forename: W
authors.initials: W
authors.lastname: Cropper
mesh_terms: D002244:Carbon / Q000032:analysis*; D057231:Climate Change; D003247:Conservation of Natural Resources / Q000379:methods*; D055867:Cyclonic Storms; D003663:Decision Trees; D017753:Ecosystem; D005431:Florida; D016468:Forestry / Q000379:methods*; D008962:Models, Theoretical; D014197:Trees / Q000737:chemistry*
chemical_list: D002244:Carbon
keywords: Aboveground carbon storage; Decision-tree analysis; Ecosystem services and goods; Florida; InVEST model; Timber volume