TY - JOUR
T1 - Survival analysis of a neotropical rainforest using multitemporal satellite imagery
AU - Greenberg, Jonathan Asher
AU - Kefauver, Shawn C.
AU - Stimson, Hugh C.
AU - Yeaton, Corey J.
AU - Ustin, Susan L.
N1 - Funding Information:
Special thanks to Craig Hadley for suggesting we investigate Survival Analysis, Tony Di Fiore and the Projecto Primates group for access to their vehicle and land-use data, and David Wilkie and the Wildlife Conservation Society for their kind donation of LANDSAT imagery and GIS coverages. This project was funded in part by the NASA Earth System Science Graduate Student Fellowship, the California Space Grant Fellowship and the Small Grants Program for Research on Population, Food and the Environment (Gifford Center for Population Issues).
Copyright:
Copyright 2008 Elsevier B.V., All rights reserved.
PY - 2005/5/30
Y1 - 2005/5/30
N2 - We present results of an analysis of deforestation at a UNESCO Biosphere Reserve, the Parque National Yasuní, located in the rainforests of eastern Ecuador using multitemporal Landsat TM and ETM+ satellite imagery. Using survival analysis, we assessed both current and future trends in deforestation rates, and investigated the impact of spatial, cultural, and economic factors on deforestation. These factors included the distance from roads, rivers, research facilities, oil facilities, markets and towns, and land ownership by colonists, native inhabitants, and an oil company. We found the annual rate of deforestation is currently only 0.11%, but that this rate is increasing with time and, assuming that the trend of increasing rate of forest loss continues, we would predict that by 2063, 50% of the forest within 2 km of an oil access road will be lost to unhindered colonization and anthropogenic conversion. The Quechua colonists are associated with areas of the highest rate of deforestation, followed by the native Huaorani and the lowest region of deforestation was in areas occupied by a local oil company. By far, the strongest predictor of where deforestation is predicted to occur was proximity to the road. Proximity to research sites, oil facilities, market, and rivers significantly decreases deforestation rates, and proximity to towns significantly increases deforestation rates.
AB - We present results of an analysis of deforestation at a UNESCO Biosphere Reserve, the Parque National Yasuní, located in the rainforests of eastern Ecuador using multitemporal Landsat TM and ETM+ satellite imagery. Using survival analysis, we assessed both current and future trends in deforestation rates, and investigated the impact of spatial, cultural, and economic factors on deforestation. These factors included the distance from roads, rivers, research facilities, oil facilities, markets and towns, and land ownership by colonists, native inhabitants, and an oil company. We found the annual rate of deforestation is currently only 0.11%, but that this rate is increasing with time and, assuming that the trend of increasing rate of forest loss continues, we would predict that by 2063, 50% of the forest within 2 km of an oil access road will be lost to unhindered colonization and anthropogenic conversion. The Quechua colonists are associated with areas of the highest rate of deforestation, followed by the native Huaorani and the lowest region of deforestation was in areas occupied by a local oil company. By far, the strongest predictor of where deforestation is predicted to occur was proximity to the road. Proximity to research sites, oil facilities, market, and rivers significantly decreases deforestation rates, and proximity to towns significantly increases deforestation rates.
KW - Change detection
KW - Deforestation
KW - Ecuador
KW - Multitemporal
KW - Neotropical rainforests
KW - Parque National Yasuní
KW - Remote sensing
KW - Roads
KW - Survival analysis
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U2 - 10.1016/j.rse.2005.02.010
DO - 10.1016/j.rse.2005.02.010
M3 - Article
AN - SCOPUS:20344407084
SN - 0034-4257
VL - 96
SP - 202
EP - 211
JO - Remote Sensing of Environment
JF - Remote Sensing of Environment
IS - 2
ER -