scispace - formally typeset
Journal ArticleDOI

Deforestation and Reforestation of Latin America and the Caribbean (2001–2010)

Reads0
Chats0
TLDR
In this paper, the authors presented a wall-to-wall, annual maps of change in woody vegetation and other land-cover classes between 2001 and 2010 for each of the 16,050 municipalities in Latin American and the Caribbean region (LAC).
Abstract
Forest cover change directly affects biodiversity, the global carbon budget, and ecosystem function. Within Latin American and the Caribbean region (LAC), many studies have documented extensive deforestation, but there are also many local studies reporting forest recovery. These contrasting dynamics have been largely attributed to demographic and socio-economic change. For example, local population change due to migration can stimulate forest recovery, while the increasing global demand for food can drive agriculture expansion. However, as no analysis has simultaneously evaluated deforestation and reforestation from the municipal to continental scale, we lack a comprehensive assessment of the spatial distribution of these processes. We overcame this limitation by producing wall-to-wall, annual maps of change in woody vegetation and other land-cover classes between 2001 and 2010 for each of the 16,050 municipalities in LAC, and we used nonparametric Random Forest regression analyses to determine which environmental or population variables best explained the variation in woody vegetation change. Woody vegetation change was dominated by deforestation (541,835 km 2 ), particularly in the moist forest, dry forest, and savannas/shrublands biomes in South America. Extensive areas also recovered woody vegetation (+362,430 km 2 ), particularly in regions too dry or too steep for modern agriculture. Deforestation in moist forests tended to occur in lowland areas with low population density, but woody cover change was not related to municipality-scale population change. These results emphasize the importance of quantitating deforestation and reforestation at multiple spatial scales and linking these changes with global drivers such as the global demand for food.

read more

Citations
More filters
Book ChapterDOI

Forest Ecosystems and Conservation

TL;DR: In this article, the principal processes that determine and affect land systems, including conservation of forests, within the Yucatan Peninsula are analyzed. And they evaluate how productive, development and conservation trends have influenced forest change.
Journal ArticleDOI

Using the forest-transition model and a proximate cause of deforestation to explain long-term forest cover trends in a Caribbean forest

TL;DR: In this article, the authors used generalized linear and non-linear regression models to determine if the classic theorized determinants of a forest transition were present at different spatial scales and to identify the proximate cause(s) of deforestation.
Journal ArticleDOI

Ephemeral forest regeneration limits carbon sequestration potential in the Brazilian Atlantic Forest.

TL;DR: In this article, the authors used 35 years of detailed land cover data to investigate forest trajectories in 3,014 municipalities in the Brazilian Atlantic Forest, a biodiversity and conservation hotspot, and showed that failure to distinguish native and planted forests would have masked native forest cover loss in the region and overestimated reforestation by 3.2Mha and carbon sequestration from natural forest regeneration by 0.37 Pg C.

Análisis de cambios de uso del suelo en el municipio costero de comalcalco, tabasco, méxico

TL;DR: In this paper, the authors identify the dinamica del cambio de uso de suelo del 2000 al 2010 in el municipio de Comalcalco, Tabasco, Mexico.
References
More filters
Journal ArticleDOI

Random Forests

TL;DR: Internal estimates monitor error, strength, and correlation and these are used to show the response to increasing the number of features used in the forest, and are also applicable to regression.
Journal ArticleDOI

Overview of the radiometric and biophysical performance of the MODIS vegetation indices

TL;DR: In this paper, the authors evaluated the performance and validity of the MODIS vegetation indices (VI), the normalized difference vegetation index (NDVI) and enhanced vegetation index(EVI), produced at 1-km and 500-m resolutions and 16-day compositing periods.
Journal ArticleDOI

Random forest: a classification and regression tool for compound classification and QSAR modeling.

TL;DR: It is the combination of relatively high prediction accuracy and its collection of desired features that makes Random Forest uniquely suited for modeling in cheminformatics.
Journal ArticleDOI

Dynamics of Land-Use and Land-Cover Change in Tropical Regions

TL;DR: In this article, the authors highlight the complexity of land-use/cover change and propose a framework for a more general understanding of the issue, with emphasis on tropical regions, and argue that a systematic analysis of local-scale land use change studies, conducted over a range of timescales, helps to uncover general principles that provide an explanation and prediction of new land use changes.
Related Papers (5)