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Journal ArticleDOI

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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Modelling the impact of land use/cover changes on water balance of a humid equatorial highland catchment in Southwestern Uganda, East Africa

TL;DR: In this paper , the impact of land use/cover change on water balance of River Mitano catchment in Southwestern Uganda using SWAT model was investigated using three land use maps for years of 2000, 2010 and 2020.
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GA3‐mediated reforestation pioneering mechanism of actinorhizal Elaeagnus conferta Roxb. in the slashed and burnt shifting cultivation lands in India's megadiversity hotspot

TL;DR: In this paper , an actinorhizal shrub, Elaeagnus conferta, was associated with the regenerating thickets' higher density and higher species diversity.
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Reforesting degraded hillslopes with exotic pines in Trinidad and Tobago: Infiltration, repellency and implications for runoff and recharge

TL;DR: In this paper , the surface soil water repellency, hydraulic conductivity, and subsurface soil moisture response to individual storm events in an exotic pine plantation and native forest in the dry and wet seasons were investigated.
Book ChapterDOI

The Brazilian Legal Framework on Mixed-Planted Forests

TL;DR: In this paper, the legal framework of multifunctional mixed-planted forests is discussed, focusing on when, where, and how those forests can be established according to legal rules, to a more effective provision of timber and non-timber products, and services as well.
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.
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.
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