000			02020cam a22002294a 4500
999			_c5091 _d5091
005			20200207154748.0
008			100624s2009 enkab b 001 0 eng
020			_a9780521876353 (cased)
020			_a0521876354 (cased)
020			_a9780521700023 (pbk.)
020			_a0521700027 (pbk.)
082	0	4	_a577 FRA _222
100	1		_aFranklin, Janet, _d1959-
245	1	0	_aMapping Species Distributions: Spatial Inference and Prediction/ (Acc. 4917) _bspatial inference and prediction / _cJanet Franklin ; with contributions by Jennifer A. Miller.
260			_aCambridge ; _aNew York : _bCambridge University Press, _c2009.
300			_axviii, 320 p. : _bill., maps (some col.) ; _c24 cm.
520	2		_a"Maps 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." --NHBS Environment Bookstore.
650		0	_aBiogeography.
650		0	_aBiogeography
700	1		_aMiller, Jennifer A. _q(Jennifer Anne)
942			_2ddc _cFO _014