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Combined Use of Systematic Conservation Planning, Species Distribution Modelling, and Connectivity Analysis Reveals Severe Conservation Gaps in a Megadiverse Country (Peru)

Overview of attention for article published in PLOS ONE, December 2014
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Title
Combined Use of Systematic Conservation Planning, Species Distribution Modelling, and Connectivity Analysis Reveals Severe Conservation Gaps in a Megadiverse Country (Peru)
Published in
PLOS ONE, December 2014
DOI 10.1371/journal.pone.0114367
Pubmed ID
Authors

Javier Fajardo, Janeth Lessmann, Elisa Bonaccorso, Christian Devenish, Jesús Muñoz

Abstract

Conservation planning is crucial for megadiverse countries where biodiversity is coupled with incomplete reserve systems and limited resources to invest in conservation. Using Peru as an example of a megadiverse country, we asked whether the national system of protected areas satisfies biodiversity conservation needs. Further, to complement the existing reserve system, we identified and prioritized potential conservation areas using a combination of species distribution modeling, conservation planning and connectivity analysis. Based on a set of 2,869 species, including mammals, birds, amphibians, reptiles, butterflies, and plants, we used species distribution models to represent species' geographic ranges to reduce the effect of biased sampling and partial knowledge about species' distributions. A site-selection algorithm then searched for efficient and complementary proposals, based on the above distributions, for a more representative system of protection. Finally, we incorporated connectivity among areas in an innovative post-hoc analysis to prioritize those areas maximizing connectivity within the system. Our results highlight severe conservation gaps in the Coastal and Andean regions, and we propose several areas, which are not currently covered by the existing network of protected areas. Our approach helps to find areas that contribute to creating a more representative, connected and efficient network.

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Geographical breakdown

Country Count As %
Italy 2 <1%
Spain 2 <1%
United States 2 <1%
United Kingdom 2 <1%
Peru 2 <1%
Germany 1 <1%
Canada 1 <1%
Brazil 1 <1%
Portugal 1 <1%
Other 4 1%
Unknown 314 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 53 16%
Student > Ph. D. Student 51 15%
Student > Master 50 15%
Student > Bachelor 44 13%
Other 20 6%
Other 52 16%
Unknown 62 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 129 39%
Environmental Science 93 28%
Earth and Planetary Sciences 10 3%
Social Sciences 8 2%
Medicine and Dentistry 6 2%
Other 17 5%
Unknown 69 21%