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  Measuring Protected-Area Isolation and Correlations of Isolation with Land-Use Intensity and Protection Status

Seiferling, I. S., Proulx, R., Peres-Neto, P. R., Fahrig, L., & Messier, C. (2012). Measuring Protected-Area Isolation and Correlations of Isolation with Land-Use Intensity and Protection Status. Conservation Biology, 26(4), 610-618. doi:10.1111/j.1523-1739.2011.01674.x.

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 Creators:
Seiferling, I. S., Author
Proulx, Raphael1, Author           
Peres-Neto, P. R., Author
Fahrig, L., Author
Messier, C., Author
Affiliations:
1Research Group Organismic Biogeochemistry, Dr. C. Wirth, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1497764              

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Free keywords: fragmentation landcover heterogeneity parks reserves landscape matrix complexity NDVI complejidad fragmentacion heterogeneidad de cobertura de suelo INDV matriz del paisaje parques reservas species-energy theory biological diversity nature-reserves richness biodiversity variability vegetation patterns forests indexes
 Abstract: Protected areas cover over 12% of the terrestrial surface of Earth, and yet many fail to protect species and ecological processes as originally envisioned. Results of recent studies suggest that a critical reason for this failure is an increasing contrast between the protected lands and the surrounding matrix of often highly altered land cover. We measured the isolation of 114 protected areas distributed worldwide by comparing vegetation-cover heterogeneity inside protected areas with heterogeneity outside the protected areas. We quantified heterogeneity as the contagion of greenness on the basis of NDVI (normalized difference vegetation index) values, for which a higher value of contagion indicates less heterogeneous land cover. We then measured isolation as the difference between mean contagion inside the protected area and mean contagion in 3 buffer areas of increasing distance from the protected-area border. The isolation of protected areas was significantly positive in 110 of the 114 areas, indicating that vegetation cover was consistently more heterogeneous 1020 km outside protected areas than inside their borders. Unlike previous researchers, we found that protected areas in which low levels of human activity are allowed were more isolated than areas in which high levels are allowed. Our method is a novel way to assess the isolation of protected areas in different environmental contexts and regions.

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Language(s): eng - English
 Dates: 2012
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1111/j.1523-1739.2011.01674.x
ISI: ://WOS:000306559300005
Other: BGC1679
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Title: Conservation Biology
Source Genre: Journal
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Publ. Info: Boston, Mass. : Blackwell Scientific Publications
Pages: - Volume / Issue: 26 (4) Sequence Number: - Start / End Page: 610 - 618 Identifier: CoNE: https://pure.mpg.de/cone/journals/resource/954925555417
ISSN: 0888-8892