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
Journal ArticleDOI

Payments for ecosystem services in Mexico reduce forest fragmentation.

TL;DR: The PES program in Mexico was successful in slowing forest fragmentation at the regional and country level, but the program could be improved by targeting areas where forest changes are more frequent, especially in southern Mexico.
Journal ArticleDOI

Land cover changes in the Lachuá region, Guatemala: patterns, proximate causes, and underlying driving forces over the last 50 years

TL;DR: In this paper, the authors describe the patterns of land cover change and the associated political and socioeconomic factors in the Lachua region over the last 50 years and estimate spatial and temporal variations in LCC from a random sample of 24 1-km2 landscape plots.
Journal ArticleDOI

Quantifying active and passive restoration in Central Mexico from 1986–2012: assessing the evidence of a forest transition

TL;DR: In this paper, an analysis of the satellite imagery revealed a net increase of 3 798 ha of forest between 1986 and 2012, yet the rate of recovery is slowing, which may be due to active reforestation efforts or natural successional processes (passive reforestation).
Journal ArticleDOI

Canopy bird assemblages are less influenced by habitat age and isolation than understory bird assemblages in Neotropical secondary forest.

TL;DR: The results highlight that secondary forests may offer critical refugia for many bird species, particularly specialist canopy‐dwellers, however, understory bird species may be less able to adapt to novel and isolated habitats and should be the focus of conservation efforts encouraging bird colonization of secondary forests.
Journal ArticleDOI

A geographically weighted random forest approach for evaluate forest change drivers in the Northern Ecuadorian Amazon.

TL;DR: An innovative methodology that combines techniques to derive remote sensing time series products, improve census processing with dasymetric mapping, and combine GWR and random forest to derive local variables importance is presented, demonstrating the benefits of integrating remote sensing–derived products and socioeconomic data to understand coupled socioecological systems more from a local than a global scale.
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)