000			03311nam a22005295i 4500
001			978-1-4939-0977-3
003			DE-He213
005			20160302172503.0
007			cr nn 008mamaa
008			140716s2014 xxu| s |||| 0|eng d
020			_a9781493909773 _9978-1-4939-0977-3
024	7		_a10.1007/978-1-4939-0977-3 _2doi
050		4	_aQA276-280
072		7	_aPBT _2bicssc
072		7	_aMBNS _2bicssc
072		7	_aMED090000 _2bisacsh
082	0	4	_a519.5 _223
100	1		_aNewman, K. B. _eauthor.
245	1	0	_aModelling Population Dynamics _h[electronic resource] : _bModel Formulation, Fitting and Assessment using State-Space Methods / _cby K. B. Newman, S. T. Buckland, B. J. T. Morgan, R. King, D. L. Borchers, D. J. Cole, P. Besbeas, O. Gimenez, L. Thomas.
264		1	_aNew York, NY : _bSpringer New York : _bImprint: Springer, _c2014.
300			_aXII, 215 p. 38 illus., 21 illus. in color. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aMethods in Statistical Ecology, _x2199-319X
505	0		_aIntroduction -- Matrices as Building Blocks -- State-space Models -- Fitting State-space models -- Model Formulation and Evaluation -- Modelling Population Dynamics Using Closed-population Abundance Estimates -- Estimating Survival Probabilities from Mark-re-encounter Data -- Estimating Abundance from Mark-recapture Data -- Integrated Population Modelling -- Concluding Remarks.
520			_aThis book gives a unifying framework for estimating the abundance of open populations: populations subject to births, deaths and movement, given imperfect measurements or samples of the populations.� The focus is primarily on populations of vertebrates for which dynamics are typically modelled within the framework of an annual cycle, and for which stochastic variability in the demographic processes is usually modest. Discrete-time models are developed in which animals can be assigned to discrete states such as age class, gender, maturity,� population (within a metapopulation), or species (for multi-species models). The book goes well beyond estimation of abundance, allowing inference on underlying population processes such as birth or recruitment, survival and movement. This requires the formulation and fitting of population dynamics models.� The resulting fitted models yield both estimates of abundance and estimates of parameters characterizing the underlying processes. �.
650		0	_aStatistics.
650	1	4	_aStatistics.
650	2	4	_aStatistics for Life Sciences, Medicine, Health Sciences.
700	1		_aBuckland, S. T. _eauthor.
700	1		_aMorgan, B. J. T. _eauthor.
700	1		_aKing, R. _eauthor.
700	1		_aBorchers, D. L. _eauthor.
700	1		_aCole, D. J. _eauthor.
700	1		_aBesbeas, P. _eauthor.
700	1		_aGimenez, O. _eauthor.
700	1		_aThomas, L. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9781493909766
830		0	_aMethods in Statistical Ecology, _x2199-319X
856	4	0	_uhttp://dx.doi.org/10.1007/978-1-4939-0977-3
912			_aZDB-2-SMA
999			_c205888 _d205888