Physical and biological feedbacks of deforestation
Article first published online: 14 DEC 2012
©2012. American Geophysical Union. All Rights Reserved.
Reviews of Geophysics
Volume 50, Issue 4, December 2012
How to Cite
2012), Physical and biological feedbacks of deforestation, Rev. Geophys., 50, RG4006, doi:10.1029/2012RG000394., , and (
- Issue published online: 14 DEC 2012
- Article first published online: 14 DEC 2012
- Manuscript Revised: 2 OCT 2012
- Manuscript Accepted: 2 OCT 2012
- Manuscript Received: 19 MAR 2012
- National Science Foundation. Grant Number: EAR0838218
- positive feedbacks
 Forest vegetation can interact with its surrounding environment in ways that enhance conditions favorable for its own existence. Removal of forest vegetation has been shown to alter these conditions in a number of ways, thereby inhibiting the reestablishment of the same community of woody plants. The effect of vegetation on an environmental variable along with vegetation susceptibility to the associated environmental conditions may imply a positive feedback: Changes in the internal conditions controlling this variable such as deforestation could inhibit the reestablishment of woody vegetation cover that in turn would act to further degrade the conditions necessary for forest regeneration. Understanding these feedbacks is important because in some cases where these feedbacks are present, deforestation can lead to irreversible state shifts where the forest vegetation cannot recover. In this review, we examine the different cases in which deforestation can lead to a loss of conditions necessary to sustain forest vegetation. We examine the spatial scale and extent of each feedback in addition to considering the temporal scale over which a feedback may be considered irreversible. Juxtaposing the spatial extent of these feedbacks with a map of deforestation enables the identification and discussion of at-risk areas to state changes following deforestation. Last, we discuss the economic implications of these feedbacks and how socioeconomic factors can affect the convergence of a system to a given stable state.