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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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Landscape genetic analyses reveal fine-scale effects of forest fragmentation in an insular tropical bird

TL;DR: The results revealed a higher performance of IBR compared to LCP in explaining gene flow, reflecting suboptimal movements across this human‐modified landscape, challenging the common use of LCP to design habitat corridors and advocating for a broader use of circuit theory modelling.
Journal ArticleDOI

Ideas and perspectives: on the emission of amines from terrestrial vegetation in the context of new atmospheric particle formation

J. Sintermann, +1 more
- 03 Jun 2015 - 
TL;DR: In this paper, the authors summarise recent science which shows how airborne amines, specifically methylamines (MAs), play a key role in new atmospheric particle formation (NPF) by stabilising small molecule clusters.
Journal ArticleDOI

Defining the effects of urban expansion on land use/cover change: a case study in Kastamonu, Turkey.

TL;DR: According to the results of the study, a 519.5-ha agricultural area and a 86-ha forest area became artificial surfaces in Kastamonu city center between 1999 and 2014.
Journal ArticleDOI

Detection of Large-Scale Forest Canopy Change in Pan-Tropical Humid Forests 2000–2009 With the SeaWinds Ku-Band Scatterometer

TL;DR: This study shows that scatterometer-based analyses can provide an important geophysical data record leading to robust identification of the spatial patterns and timing of large-scale change in tropical forests.
Journal ArticleDOI

Reconstructing disturbance history using satellite-based assessment of the distribution of land cover in the Russian Far East

TL;DR: In this article, a method aimed at reconstructing disturbance history from a known distribution of land cover is presented, which explores capabilities introduced through fusion of the long-term but spatially limited Landsat data archive and the spatially continuous but temporally limited 2000-present data record from the Moderate Resolution Spectroradiometer (MODIS).
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.
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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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