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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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Impacto de Alnus acuminata Kunth en los flujos de N2O y calidad del pasto Pennisetum clandestinum Hochst. ex Chiov.

TL;DR: El Aliso Alnus acuminata Kunth es un forestal del tropico alto de Colombia que se asocia con pasto Pennisetum clandestinum Hochst como sistema silvopastoril (SSP) y fija N atmosferico.

Analysis of Land Use/Land Cover Change Impacts Upon Ecosystem Services in Montane Tropical Forest of Rwanda: Forest Carbon Assessment and REDD+ Preparedness

TL;DR: In this article, the authors presented an assessment of REDD++ preparedness in Rwanda focusing on Measurement, Monitoring, Reporting, Reporting and Verification (MMRV).

O custo econômico do desmatamento da Floresta Amazônica brasileira (1988-2014) The economic cost of deforestation in the Brazilian Amazon rainforest (1988-2014)

TL;DR: In this paper, the authors calculate the economic cost of deforestation in the Brazilian Amazon rain forest and use mon- etary estimates of the losses of intangible ecosystem services generated by deforestation as a proxy for such cost.
Journal ArticleDOI

Local botanical knowledge of cacti in the semi-arid region of Paraíba, northeastern Brazil.

TL;DR: Farmers in the community of Capivara have great knowledge of local Cactaceae species, however, they mainly use these species as fodder resources, especially C. jamacaru and P. pachycladus.
Journal ArticleDOI

Xylem Anatomical Variability in White Spruce at Treeline Is Largely Driven by Spatial Clustering.

TL;DR: The findings imply that the variance in the investigated xylem anatomical traits and growth is mainly influenced by spatial clustering, which makes it rather difficult to estimate the heritability of these traits in naturally grown trees in situ.
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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