Skip to main content
. 2019 Apr 7;25(6):2112–2126. doi: 10.1111/gcb.14618

Table 2.

Drivers of forest cover change of the 51 hotspots of forest loss and forest gain confirmed by experts from each country

Country Cluster # Drivers of forest gain Drivers of forest loss
Pasture and agricultural abandonment Highland shrub invasion Pine/eucalyptus plantations Shade coffee Agroforestry Unknown Pasture expansion Agriculture expansion Mixed (roads, mines, pastures, agriculture) Fire Unknown Data source
Venezuela 1, 3             x         1, pers. obs.
Venezuela 2, 4   x                   2, 3
Colombia 5, 7       x               4, pers. obs.
Colombia 6           x           5
Colombia 8 x                     6
Colombia 9         x             5
Colombia 10, 11, 12             x         5, 7, 8
Colombia 13                 x     1, 5
Ecuador 14           x           1, 9, 10
Ecuador 15, 16, 17     x                 1, 9, 10, 11, 12
Ecuador 18 x                     1, 9, 10, 13
Ecuador 19             x         1, 9, 10, 14, pers.obs.
Ecuador 20               x       1, 9, 10, 15
Ecuador 21, 22                 x     1, 9, 10, 16
Peru 23, 25–29   x                   1
Peru 24 x                     1
Peru 30–32, 34–37             x         1, 17
Peru 33, 39                 x     1
Peru 38                     x 1
Boliva 40, 41, 42 x                     1
Boliva 43, 44, 45               x       1
Argentina 46, 47, 48 x                     1
Argentina 49                   x   1, pers. obs.
Argentina 50, 51               x       1, 18, 19, pers. obs.
Total   9 8 3 2 1 2 13 6 5 1 1  

Hotspots included regions with multiple adjacent hexagons with similar trends of forest cover change, and in regions where experts have knowledge of land‐use dynamics. The location of each region is highlighted in Figure 1. The data sources include: (1) high‐resolution images in Google Earth, (2) Suárez del Moral and Chacón‐Moreno (2011), (3) Rodríguez‐Morales et al. (2009), (4) FNC (2017), (5) González et al. (2018), (6) León‐Escobar (2011), (7) Observatorio de Drogas de Colombia (2018), (8) DANE (2014), (9) MAE (2015), (10) MAE (2017), (11) Jokisch (2002), (12) Jokisch and Lair (2002), (13) Oñate‐Valdivieso and Sendra (2010), (14) Baquero and Peralvo ( 2016), (15) Van Der Hoek (2017), (16) Curatola Fernández et al. (2015), (17) Hansen et al. (2013), (18) Gasparri and Grau (2009), (19) Nanni and Grau (2014).