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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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DissertationDOI

Improved quantification of forest cover change and implications for the carbon cycle

Xiaopeng Song
TL;DR: Song et al. as mentioned in this paper explored the potential of satellite-derived land cover datasets in quantifying changes in global forest cover and carbon stock, and developed advanced methods for detecting forest cover change (FCC) and estimating the amount and trend of forest carbon change.
Dissertation

The introduction of Pinus contorta in Sweden

TL;DR: It is suggested that abiotic and biotic factors common to all young managed forests act as environmental filters that cause similarly low levels of functional diversity and functional insurance among their epiphytic lichen communities.
Journal ArticleDOI

Spatiotemporal analysis of land use land cover changes and built-up expansion projection in predominantly dystric nitosol of Ebonyi state, Southeastern, Nigeria

TL;DR: In this paper, the authors used remote sensing tools, Landsat images, geographical information system (GIS) and geospatial techniques to quantify LULC change, built-up expansion and hotspot areas in Ebonyi state.
DissertationDOI

Comparisons of vegetation recovery post-fire, logging and salvage logging in the Victorian Central Highlands

David Blair
TL;DR: This paper quantified species richness and frequency of occurrence of vascular plants, and functional group responses across a gradient of disturbances that occurred concurrently in 2009 in the Mountain Ash forests of southeastern Australia.
Journal ArticleDOI

Algorithm Theoretical Basis Document for GEDI Footprint Aboveground Biomass Density

TL;DR: The GEDI Level-4A (GEDI04_A) data product as mentioned in this paper is the first spaceborne instrument designed to measure vegetation height and to quantify aboveground carbon stocks in temperate and tropical forests and woodlands.
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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