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Global Change Biology
Article . 2019 . Peer-reviewed
License: CC BY
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Global Change Biology
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License: CC BY
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https://dx.doi.org/10.60692/1r...
Other literature type . 2019
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https://dx.doi.org/10.60692/n7...
Other literature type . 2019
Data sources: Datacite
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Woody vegetation dynamics in the tropical and subtropical Andes from 2001 to 2014: Satellite image interpretation and expert validation

ديناميات الغطاء النباتي الخشبي في جبال الأنديز الاستوائية وشبه الاستوائية من 2001 إلى 2014: تفسير صور الأقمار الصناعية والتحقق من صحة الخبراء
Authors: T. Mitchell Aide; H. Ricardo Grau; Jordan Graesser; María José Andrade‐Núñez; Ezequiel Aráoz; Ana P. Barros; Marconi Campos‐Cerqueira; +10 Authors

Woody vegetation dynamics in the tropical and subtropical Andes from 2001 to 2014: Satellite image interpretation and expert validation

Abstract

AbstractThe interactions between climate and land‐use change are dictating the distribution of flora and fauna and reshuffling biotic community composition around the world. Tropical mountains are particularly sensitive because they often have a high human population density, a long history of agriculture, range‐restricted species, and high‐beta diversity due to a steep elevation gradient. Here we evaluated the change in distribution of woody vegetation in the tropical Andes of South America for the period 2001–2014. For the analyses we created annual land‐cover/land‐use maps using MODIS satellite data at 250 m pixel resolution, calculated the cover of woody vegetation (trees and shrubs) in 9,274 hexagons of 115.47 km2, and then determined if there was a statistically significant (p < 0.05) 14 year linear trend (positive—forest gain, negative—forest loss) within each hexagon. Of the 1,308 hexagons with significant trends, 36.6% (n = 479) lost forests and 63.4% (n = 829) gained forests. We estimated an overall net gain of ~500,000 ha in woody vegetation. Forest loss dominated the 1,000–1,499 m elevation zone and forest gain dominated above 1,500 m. The most important transitions were forest loss at lower elevations for pastures and croplands, forest gain in abandoned pastures and cropland in mid‐elevation areas, and shrub encroachment into highland grasslands. Expert validation confirmed the observed trends, but some areas of apparent forest gain were associated with new shade coffee, pine, or eucalypt plantations. In addition, after controlling for elevation and country, forest gain was associated with a decline in the rural population. Although we document an overall gain in forest cover, the recent reversal of forest gains in Colombia demonstrates that these coupled natural‐human systems are highly dynamic and there is an urgent need of a regional real‐time land‐use, biodiversity, and ecosystem services monitoring network.

Keywords

Satellite Imagery, Wildlife Ecology and Conservation Biology, Forests, Trees, Elevation (ballistics), Sociology, Pathology, Climate change, Global and Planetary Change, Global Analysis of Ecosystem Services and Land Use, Ecology, Geography, Satellite imagery, Forestry, Biodiversity, Remote sensing, FOS: Sociology, Shrub, Physical Sciences, Medicine, Vegetation (pathology), Land cover, Physical geography, Population, Geometry, Colombia, Environmental science, FOS: Mathematics, Global Forest Transition, Agroforestry, Biology, Ecosystem, Demography, Tropical Climate, Tropics, South America, Tropical vegetation, Subtropics, FOS: Biological sciences, Environmental Science, Land use, Drivers and Impacts of Tropical Deforestation, Mathematics

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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68
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