SGD Colloquium-Dr. Steve Sesnie

Date: 

Fri, 04/20/2018 - 15:30

Spatial and Temporal Patterns of Forest Loss Related to Cocain Trafficking in Central America

Dr. Steve Sesnie
Division of Biological Sciences
US Fish and Wildlife Service, Albuquerque, NM

Abstract: Recent evidence suggests that criminal activities and drug trafficking networks are an important driver of forest loss in Central America. The scale at which drug trafficking represents a driver of forest loss is not presently known. We estimated the degree to which narcotics trafficking may contribute to forest loss using an unsupervised clustering of 15 spatial and temporal forest loss patch metrics developed from global forest change data. We distinguished anomalous forest loss from background loss patches for each country exhibiting potential ‘narco-capitalized’ signatures in terms of size, timing, and rate of forest loss. For Honduras, results from linear mixed effects models showed a highly significant relationship between anomalous forest loss and the timing of increased drug trafficking (F=9.90, p = 0.009) that also differed significantly from temporal patterns of background forest loss (t-ratio = 2.98, p =0.004). Other locations of high forest loss in Central America showed mixed results. The timing of increased trafficking was not significantly related to anomalous forest loss in Guatemala and Nicaragua, but significantly differed in patch size compared to background losses. We estimated that cocaine trafficking may account for between 15% and 30% of annual national forest loss in these three countries over the past decade, and 30% to 60% of loss occurred within protected areas. Cocaine trafficking is likely to have severe and lasting consequences in terms of maintaining moist tropical forest cover in Central America. Addressing forest loss in these and other tropical locations will require a stronger linkage between drug interdiction and conservation policies.

ENR2 Building, Room S107
Friday, April 20 at 3:30pm
Refreshments starting at 3:00pm

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