A Spatially Explicit Estimate of Avoided Forest Loss
Por:
Honey-Rosés J., Baylis K., Ramírez M.I.
Publicada:
1 oct 2011
Resumen:
With the potential expansion of forest conservation programs spurred by climate-change agreements, there is a need to measure the extent to which such programs achieve their intended results. Conventional methods for evaluating conservation impact tend to be biased because they do not compare like areas or account for spatial relations. We assessed the effect of a conservation initiative that combined designation of protected areas with payments for environmental services to conserve over wintering habitat for the monarch butterfly (Danaus plexippus) in Mexico. To do so, we used a spatial-matching estimator that matches covariates among polygons and their neighbors. We measured avoided forest loss (avoided disturbance and deforestation) by comparing forest cover on protected and unprotected lands that were similar in terms of accessibility, governance, and forest type. Whereas conventional estimates of avoided forest loss suggest that conservation initiatives did not protect forest cov
Filiaciones:
Honey-Rosés J.:
Department of Urban and Regional Planning, University of Illinois Urbana-Champaign, 111 Temple Buell Hall, 611 Taft Drive, Champaign, IL 61820, United States
Baylis K.:
Agriculture and Consumer Economics, University of Illinois Urbana-Champaign, 326 Mumford Hall, 1301 W. Gregory Drive, Champaign, IL 61820, United States
Ramírez M.I.:
Univ Nacl Autonoma Mexico, Ctr Invest Geograia Ambiental, Morelia 58190, Michoacan, Mexico
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