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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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Journal ArticleDOI

Ecological value of global terrestrial plants

TL;DR: In this paper, the authors used the emergy methodology to evaluate the ecological economic value of global terrestrial plants and found that terrestrial plants play important functions in energy flow and biogeochemical cycles of the planet, but their real wealth contributions to human society are not properly evaluated because of their widespread distribution and limitations in evaluation methods.
Dissertation

Applications of the IUCN Red List in evaluating global extinction risk of timber tree species

Jennifer Mark
TL;DR: In this paper, the authors identify timber tree taxa in trade at the species level; assess utility of occurrence records from the Global Biodiversity Information Facility (GBIF) in timber species range mapping; assess current extinction risk of a priority subset of timber tree species by applying the IUCN Red List (Red List) of Threatened Species Categories and Criteria; and, lastly, evaluate the uncertainty of these preliminary Red List assessments.
Journal ArticleDOI

A framework for estimating forest disturbance intensity from successive remotely sensed biomass maps: moving beyond average biomass loss estimates.

TL;DR: The framework described provides a novel way to describe and quantify the intensity of forest disturbance, which could help to provide information on the causes of both natural and anthropogenic forest loss—such information is vital for effective forest and climate policy formulation.
Journal ArticleDOI

Enhanced forest interior estimations utilizing lidar-assisted 3D forest cover map

TL;DR: In this paper, a 3D forest cover map was generated by using both lidar data and National Land Cover Database (NLCD) to estimate the forest interior in a forested region of western North Carolina, USA.

Knowledge and learning: views of a sample of South African higher education

TL;DR: This article explored views of knowledge and learning held by a sample of 14 Black South African first year university students (age range = 18-24-50% female). Data was collected by means of semi-structured interviews, group interviews and focus group interviews.
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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