Environmental predictors of forest change: An analysis of natural predisposition to deforestation in the tropical Andes region, Peru. (February 2018)
- Record Type:
- Journal Article
- Title:
- Environmental predictors of forest change: An analysis of natural predisposition to deforestation in the tropical Andes region, Peru. (February 2018)
- Main Title:
- Environmental predictors of forest change: An analysis of natural predisposition to deforestation in the tropical Andes region, Peru
- Authors:
- Bax, Vincent
Francesconi, Wendy - Abstract:
- Abstract: The spatial patterns of deforestation are usually non-randomly distributed across the landscape. While anthropogenically driven processes are often addressed in land-use regulation policies and deforestation research, less attention is given to the environmental factors that influence tropical deforestation. This study investigates to what extent climate conditions (temperature and precipitation) and biophysical landscape characteristics (elevation, slope, soil type, forest type, and distance to rivers) facilitate or mitigate deforestation processes in Peru's tropical Andes. A Random Forest regression model was constructed for the entire Peruvian tropical Andes, and separate models were developed for some of the known direct deforestation drivers in the region (coca production, gold mining, and land-use by indigenous and non-indigenous communities). Soil type and precipitation were identified as the most important deforestation predictors when the entire Peruvian tropical Andes was considered, whereas distance to rivers was associated with deforestation by mining activities, and elevation and temperature with coca cultivation areas. Using the regression results, a Random Forest classification model was constructed to locate areas where the composition of environmental factors could either facilitate or mitigate deforestation processes. It was found that almost 85% of the forests classified as having high to very high probability to deforestation were locatedAbstract: The spatial patterns of deforestation are usually non-randomly distributed across the landscape. While anthropogenically driven processes are often addressed in land-use regulation policies and deforestation research, less attention is given to the environmental factors that influence tropical deforestation. This study investigates to what extent climate conditions (temperature and precipitation) and biophysical landscape characteristics (elevation, slope, soil type, forest type, and distance to rivers) facilitate or mitigate deforestation processes in Peru's tropical Andes. A Random Forest regression model was constructed for the entire Peruvian tropical Andes, and separate models were developed for some of the known direct deforestation drivers in the region (coca production, gold mining, and land-use by indigenous and non-indigenous communities). Soil type and precipitation were identified as the most important deforestation predictors when the entire Peruvian tropical Andes was considered, whereas distance to rivers was associated with deforestation by mining activities, and elevation and temperature with coca cultivation areas. Using the regression results, a Random Forest classification model was constructed to locate areas where the composition of environmental factors could either facilitate or mitigate deforestation processes. It was found that almost 85% of the forests classified as having high to very high probability to deforestation were located outside current protected areas. In order to increase conservation impacts, the results suggest that greater consideration should be given to the distribution of environmental factors when designing land-use regulation policies and establishing protected areas. Highlights: Deforestation patterns are strongly linked to natural landscape characteristics. Soil type and rainfall are the most important natural deforestation determinants. The relation between deforestation and coca production and gold mining was examined. Protected areas are usually created in environmentally undesired locations. … (more)
- Is Part Of:
- Applied geography. Volume 91(2018)
- Journal:
- Applied geography
- Issue:
- Volume 91(2018)
- Issue Display:
- Volume 91, Issue 2018 (2018)
- Year:
- 2018
- Volume:
- 91
- Issue:
- 2018
- Issue Sort Value:
- 2018-0091-2018-0000
- Page Start:
- 99
- Page End:
- 110
- Publication Date:
- 2018-02
- Subjects:
- Forest cover change -- Conservation areas -- Environmental deforestation drivers -- Tropical montane forests -- Random Forest
Geography -- Periodicals
Human geography -- Periodicals
Human ecology -- Periodicals
910 - Journal URLs:
- http://www.elsevier.com/journals ↗
- DOI:
- 10.1016/j.apgeog.2018.01.002 ↗
- Languages:
- English
- ISSNs:
- 0143-6228
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 1572.590000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 11400.xml