High-Resolution Global Maps of 21st-Century Forest Cover Change
Картирование изменений лесного покрова в XXI веке с высоким пространственным разрешением
2013-11-14
SCID: 54.1/6wngndta
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30 meter resolutionforest gainforest lossglobal forest changetropics forest loss
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Abstract (AI)
Quantification of global forest change has been lacking despite the recognized importance of forest ecosystem services. In this study, Earth observation satellite data were used to map global forest loss (2.3 million square kilometers) and gain (0.8 million square kilometers) from 2000 to 2012 at a spatial resolution of 30 meters. The tropics were the only climate domain to exhibit a trend, with forest loss increasing by 2101 square kilometers per year. Brazil's well-documented reduction in deforestation was offset by increasing forest loss in Indonesia, Malaysia, Paraguay, Bolivia, Zambia, Angola, and elsewhere. Intensive forestry practiced within subtropical forests resulted in the highest rates of forest change globally. Boreal forest loss due largely to fire and forestry was second to that in the tropics in absolute and proportional terms. These results depict a globally consistent and locally relevant record of forest change.
Key Findings
1
Boreal forest loss, driven largely by fire and forestry, was the second largest in both absolute and proportional terms.
2
Brazil’s decline in deforestation was offset by rising forest loss in Indonesia, Malaysia, Paraguay, Bolivia, Zambia, Angola, and other countries.
3
Global mapping at 30-meter resolution quantified 2.3 million km² of forest loss and 0.8 million km² of forest gain from 2000 to 2012.
4
Subtropical intensive forestry produced the highest rates of forest change globally.
5
Tropical regions were the only climate domain with a measurable trend: forest loss increased by 2,101 km² per year.
Research Object
Global forest cover change (forest loss and gain from 2000 to 2012) mapped at 30 m resolution
Research Subject
Quantification and spatial-temporal patterns of forest loss and gain worldwide (rates, magnitudes, regional trends such as tropical increase and country-level contributions) derived from Earth observation data
Publication Details
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2013-11-14
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