000 02372nam a22003377a 4500
001 sulb-eb0017345
003 BD-SySUS
005 20160405140649.0
008 101021s2010||||enk o ||1 0|eng|d
020 _a9780511810602 (ebook)
020 _z9780521876353 (hardback)
020 _z9780521700023 (paperback)
040 _aUkCbUP
_beng
_erda
_cUkCbUP
_dBD-SySUS.
082 0 0 _a578.09
_222
100 1 _aFranklin, Janet,
_eauthor.
245 1 0 _aMapping Species Distributions :
_bSpatial Inference and Prediction /
_cJanet Franklin.
264 1 _aCambridge :
_bCambridge University Press,
_c2010.
300 _a1 online resource (340 pages) :
_bdigital, PDF file(s).
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
490 0 _aEcology, Biodiversity and Conservation
500 _aTitle from publisher's bibliographic system (viewed on 04 Apr 2016).
520 _aMaps of species' distributions or habitat suitability are required for many aspects of environmental research, resource management and conservation planning. These include biodiversity assessment, reserve design, habitat management and restoration, species and habitat conservation plans and predicting the effects of environmental change on species and ecosystems. The proliferation of methods and uncertainty regarding their effectiveness can be daunting to researchers, resource managers and conservation planners alike. Franklin summarises the methods used in species distribution modeling (also called niche modeling) and presents a framework for spatial prediction of species distributions based on the attributes (space, time, scale) of the data and questions being asked. The framework links theoretical ecological models of species distributions to spatial data on species and environment, and statistical models used for spatial prediction. Providing practical guidelines to students, researchers and practitioners in a broad range of environmental sciences including ecology, geography, conservation biology, and natural resources management.
650 0 _aBiogeography
650 0 _aBiogeography
776 0 8 _iPrint version:
_z9780521876353
830 0 _aEcology, Biodiversity and Conservation.
856 4 0 _uhttp://dx.doi.org/10.1017/CBO9780511810602
942 _2Dewey Decimal Classification
_ceBooks
999 _c38783
_d38783