Notes from Alex Pfaff talk at UTK (during my visit for pdg-control meeting).
average impact vs differential impact – must compare against what would have happened to the area if unprotected (at current time/short-timescale, or in future?)
Proximity is not a good proxy of similarity (i.e. bc we protect steep slopes but farm the flat land nearby)
Instead use simple metrics available in GIS layers - distance from nearest road, etc.
Multi-use conservation works better. Why?
More likely to establish protection in higher-threat areas (i.e. nearer a city)
Possibly better enforcement when local interest has a stake (i.e. indigenous farmers reporting illegal logging)
Matching areas subsets data. Why ignore some of the data instead of just regressions on all effects? Complexity of regressions, inaccuracies of those assumptions, lack of overlap in areas…
(Joppa & Pfaff, 2010)
- Joppa L and Pfaff A (2010). “Reassessing The Forest Impacts of Protection.” Annals of The New York Academy of Sciences, 1185. https://dx.doi.org/10.1111/j.1749-6632.2009.05162.x.