scispace - formally typeset
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.

read more

Citations
More filters

Effects of land-use change on tropical forest biodiversity: a multi-scale assessment in the Brazilian Amazon

TL;DR: This article investigated local and landscape-scale responses of Amazonian avian assemblages to land-cover changes across a gradient of land-use intensity ranging from undisturbed primary forest to mechanised agriculture in 36 drainage catchments distributed across two large regions of the eastern Brazilian Amazon.
Dissertation

Analyse des trajectoires de dégradation des forêts tropicales humides à partir de séries temporelles denses à Paragominas, Para (Brésil)

TL;DR: In this article, a methode entierement automatique voire semi-automatique, robuste and reproductible, is presented for identifier and caracteriser la degradation forestiere a partir de series temporelles denses d'images Landsat (30 m).

Role of forest certification in biodiversity conservation in Lithuania

TL;DR: In this article, the authors compared the set-aside areas for biodiversity conservation in FSC certified State Forest Enterprises (SFE) in Lithuania and found that the most setaside patches were smaller than 10 ha and had a small fraction of old forests.
Journal ArticleDOI

OUP accepted manuscript

- 25 Feb 2022 - 
TL;DR: In this article , the extent to which this diverse community is mitigating competition through partitioning of available niche space by assessing dietary ecology of mammalian carnivores present, including diet breadths and dietary overlap, and by examining spatial patterns within the reserve.
Journal ArticleDOI

Does fragmentation contribute to the forest crisis in Germany?

TL;DR: In this paper , the authors investigated the relation of forest fragmentation with temperature and vitality in Germany per ecoregion at the canopy level using satellite imagery at 1-km and 30-m resolution.
References
More filters
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.
Related Papers (5)