000			03065nam a22003858i 4500
001			CR9780511810602
003			UkCbUP
005			20200124160225.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			101021s2009||||enk o ||1 0|eng|d
020			_a9780511810602 (ebook)
020			_z9780521876353 (hardback)
020			_z9780521700023 (paperback)
040			_aUkCbUP _beng _erda _cUkCbUP
050	0	0	_aQH84 _b.F73 2009
082	0	4	_a578.09 _222
100	1		_aFranklin, Janet, _d1959- _eauthor.
245	1	0	_aMapping species distributions : _bspatial inference and prediction / _cJanet Franklin ; with contributions by Jennifer A. Miller.
264		1	_aCambridge : _bCambridge University Press, _c2009.
300			_a1 online resource (xviii, 320 pages) : _bdigital, PDF file(s).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
490	1		_aEcology, biodiversity, and conservation
500			_aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
505	0		_aSpecies distribution modeling -- Why do we need species distribution models? -- Ecological understanding of species distributions -- Data for species distribution models : the biological data -- Data for species distribution models : the environmental data -- Statistical models -- modern regression / Janet Franklin and Jennifer A. Miller -- Machine learning methods -- Classification, similarity and other methods for presence-only data -- Model evaluation -- Implementation of species distribution models.
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 _xMathematical models.
700	1		_aMiller, Jennifer A. _q(Jennifer Anne), _eauthor.
776	0	8	_iPrint version: _z9780521876353
830		0	_aEcology, biodiversity, and conservation.
856	4	0	_uhttps://doi.org/10.1017/CBO9780511810602
999			_c517122 _d517120