NDLI: What spatial data do we need to develop global mammal conservation strategies?

Content Provider	PubMed Central
Author	Boitani, Luigi Maiorano, Luigi Daniele, Baisero Falcucci, Alessandra Visconti, Piero Rondinini, Carlo
Copyright Year	2011
Abstract	Spatial data on species distributions are available in two main forms, point locations and distribution maps (polygon ranges and grids). The first are often temporally and spatially biased, and too discontinuous, to be useful (untransformed) in spatial analyses. A variety of modelling approaches are used to transform point locations into maps. We discuss the attributes that point location data and distribution maps must satisfy in order to be useful in conservation planning. We recommend that before point location data are used to produce and/or evaluate distribution models, the dataset should be assessed under a set of criteria, including sample size, age of data, environmental/geographical coverage, independence, accuracy, time relevance and (often forgotten) representation of areas of permanent and natural presence of the species. Distribution maps must satisfy additional attributes if used for conservation analyses and strategies, including minimizing commission and omission errors, credibility of the source/assessors and availability for public screening. We review currently available databases for mammals globally and show that they are highly variable in complying with these attributes. The heterogeneity and weakness of spatial data seriously constrain their utility to global and also sub-global scale conservation analyses.
Related Links	http://dx.doi.org/10.1098/rstb.2011.0117
Ending Page	2632
Page Count	10
Starting Page	2623
File Format	PDF
ISSN	09628436
e-ISSN	14712970
Journal	Philosophical Transactions of the Royal Society B: Biological Sciences
Issue Number	1578
Volume Number	366
Language	English
Publisher	The Royal Society
Publisher Date	2011-09-27
Access Restriction	Open
Rights Holder	The Royal Society
Subject Keyword	Biochemistry, Genetics and Molecular Biology(all) Agricultural and Biological Sciences(all) Research in Higher Education
Content Type	Text
Resource Type	Article
Subject	Biochemistry, Genetics and Molecular Biology Agricultural and Biological Sciences

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