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

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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.

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Citations
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The role of soybean production as an underlying driver of deforestation in the South American Chaco

TL;DR: The authors used panel regressions at the district level to quantify the role of soybean expansion in driving these forest losses using a wide range of environmental and socio-economic control variables, finding that soybean production was a direct driver of deforestation in the Argentine Chaco only, whereas cattle ranching was significantly associated with deforestation in all three countries (0.02 additional cattle per hectare forest loss).
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Transformation dynamics of the natural cover in the Dry Chaco ecoregion: A plot level geo-database from 1976 to 2012

TL;DR: In this article, the spatial and temporal dynamics of the transformation of the natural cover in the dry Chaco ecoregion from 1976 to 2012 were analyzed using 44 Landsat scenes, including part of Argentina, Paraguay and Bolivia.
Journal ArticleDOI

Global demand for gold is another threat for tropical forests

TL;DR: In this paper, the authors provide a regional assessment of gold mining deforestation in the tropical moist forest biome of South America, analyzing the patterns of forest change in gold mining sites between 2001 and 2013, and evaluated the proximity of mining deforestation to protected areas (PAs).
Journal ArticleDOI

Alternative trajectories of land abandonment: causes, consequences and research challenges

TL;DR: Land abandonment is not a static end state but a transitional stage leading to different trajectories of varying intensity and long-term outcomes as mentioned in this paper, where environmental benefits include carbon sequestration, regulation of terrestrial albedo and increases in certain habitat.
Journal ArticleDOI

Highland cropland expansion and forest loss in Southeast Asia in the twenty-first century

TL;DR: In this article, the authors investigate patterns of forest change and cropland expansion in the region for the twenty-first century, based on multiple streams of state-of-the-art satellite imagery.
References
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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.
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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.
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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.
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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.
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