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Open AccessJournal ArticleDOI

Quantification of global gross forest cover loss

TLDR
A globally consistent methodology using satellite imagery was implemented to quantify gross forest cover loss (GFCL) from 2000 to 2005 and to compare GFCL among biomes, continents, and countries, finding the boreal biome experienced the largest area, followed by the humid tropical, dry tropical, and temperate biomes.
Abstract
A globally consistent methodology using satellite imagery was implemented to quantify gross forest cover loss (GFCL) from 2000 to 2005 and to compare GFCL among biomes, continents, and countries. GFCL is defined as the area of forest cover removed because of any disturbance, including both natural and human-induced causes. GFCL was estimated to be 1,011,000 km2 from 2000 to 2005, representing 3.1% (0.6% per year) of the year 2000 estimated total forest area of 32,688,000 km2. The boreal biome experienced the largest area of GFCL, followed by the humid tropical, dry tropical, and temperate biomes. GFCL expressed as the proportion of year 2000 forest cover was highest in the boreal biome and lowest in the humid tropics. Among continents, North America had the largest total area and largest proportion of year 2000 GFCL. At national scales, Brazil experienced the largest area of GFCL over the study period, 165,000 km2, followed by Canada at 160,000 km2. Of the countries with >1,000,000 km2 of forest cover, the United States exhibited the greatest proportional GFCL and the Democratic Republic of Congo the least. Our results illustrate a pervasive global GFCL dynamic. However, GFCL represents only one component of net change, and the processes driving GFCL and rates of recovery from GFCL differ regionally. For example, the majority of estimated GFCL for the boreal biome is due to a naturally induced fire dynamic. To fully characterize global forest change dynamics, remote sensing efforts must extend beyond estimating GFCL to identify proximate causes of forest cover loss and to estimate recovery rates from GFCL.

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Citations
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Journal ArticleDOI

The scale of effect depends on operational definition of forest cover—evidence from terrestrial mammals of the Brazilian savanna

TL;DR: In this article, the spatial extent at which landscape structure affects the occurrence of four species of terrestrial mammalian herbivores in the Brazilian savannas and examined whether those scales could be explained by species ecological traits and how forest habitat was operationally defined.
Book ChapterDOI

Remote Sensing and Image Processing

TL;DR: A range of remote sensing technologies are relevant for biodiversity studies, including time series from traditional optical sensors to emerging technologies that acquire hyperspectral and hyperspatial data and data on three-dimensional structure of habitats as discussed by the authors.
Journal ArticleDOI

Contrasting current and potential productivity and the influence of fire and species composition in the boreal forest: a case study in eastern Canada1

TL;DR: In this paper, the capacity of a forest stand to produce timber is related to the interactions that exist between its regeneration capacity, physical site characteristics (climate, surficial deposit, drainage), and disturbances.
Journal ArticleDOI

Remote sensing alone is insufficient for quantifying changes in forest cover

TL;DR: Results from the Forest Service’s Forest Inventory and Analysis program depict a different, and think more accurate, assessment of forest conditions in the southern United States, because field plots are used to validate satellite interpretations and distinguish between land cover and land use changes.
Journal ArticleDOI

Variation and trends of landscape dynamics, land surface phenology and net primary production of the Appalachian Mountains

TL;DR: In this paper, the authors analyzed the spatial and temporal patterns of the normalized difference vegetation index (NDVI), length of growing season (LOS), and net primary production (NPP) of selected ecoregions along the Appalachian Mountains regions.
References
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Journal ArticleDOI

Global land cover mapping from MODIS: algorithms and early results

TL;DR: This product provides maps of global land cover at 1-km spatial resolution using several classification systems, principally that of the IGBP, and a supervised classification methodology is used that exploits a global database of training sites interpreted from high-resolution imagery in association with ancillary data.
Journal ArticleDOI

Development of a global land cover characteristics database and igbp discover from 1 km avhrr data

TL;DR: The IGBP DISCover global land cover product as mentioned in this paper is an integral component of the Global Land Cover database, which provides a unique view of the broad patterns of the biogeographical and ecoclimatic diversity of the global land surface and presents a detailed interpretation of the extent of human development.
Journal ArticleDOI

Determination of Deforestation Rates of the World's Humid Tropical Forests

TL;DR: The recently completed research program (TREES) employing the global imaging capabilities of Earth-observing satellites provides updated information on the status of the world's humid tropical forest cover, indicating that the global net rate of change in forest cover for the humid tropics is 23% lower than the generally accepted rate.
Journal ArticleDOI

GLC2000: a new approach to global land cover mapping from Earth observation data

TL;DR: A new global land cover database for the year 2000 (GLC2000) has been produced by an international partnership of 30 research groups coordinated by the European Commission's Joint Research Centre as discussed by the authors.
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