Journal of Land Use Science · 2018 · 16 citations · 45 references
Natural ResourcesEcologyForestryForest InventoryForest ManagementRemote SensingDeforestationForest CoverLand Cover Change DetectionLand Cover ClassificationLand UseVegetation Cover AssessmentCanopy Loss AssessmentForest RegionsForest-cover ChangeModel-assisted EstimationModel-assisted SamplingModel-based EstimationSocio-economic Impact AssessmentTree Cover Assessment
The neotropical-forest’s northern and southern extremes, covering the Mexican Yucatán and the Argentine Chaco, have among the highest rates of recent tree-cover loss in the biome. This study contrasts the character of loss in these regions, estimating proportions of types of loss and subsequent land cover. It is based on two-stage probability sampling design and field and satellite-image surveys. All estimates include uncertainties, which could be further reduced via model-assisted estimation or additional sampling. This approach can be replicated in other regions to estimate types of loss and associated land cover from a definitive, in-situ perspective. The character of loss in the two areas differed greatly. That in the Yucatán was 54% temporary, mostly under fallow or selectively logged, while that in the Chaco was 85% permanent, split nearly equally between crops and pasture. These data contribute to a quantitative basis for studies of socio-economic drivers of neotropical deforestation.
45
High-Resolution Global Maps of 21st-Century Forest Cover Change
Matthew C. Hansen, Peter Potapov, Rebecca Moore et al. · Science · 2013 · 11.6K citations
Good practices for estimating area and assessing accuracy of land change
Pontus Olofsson, Giles M. Foody, Martin Herold et al. · Remote Sensing of Environment · 2014 · 2.9K citations · Full text
Eric R. Ziegel, Sharon L. Lohr · Technometrics · 2000 · 2.3K citations
Primary forest cover loss in Indonesia over 2000–2012
Belinda Arunarwati Margono, Peter Potapov, Svetlana Turubanova et al. · Nature Climate Change · 2014 · 1K citations
Natural Resources, Ecology, Forestry +14