INFERRING PROCESS FROM PATTERN: CAN TERRITORY OCCUPANCY PROVIDE INFORMATION ABOUT LIFE HISTORY PARAMETERS?

By Andrew J. Tyre, Hugh P. Possingham, David B. Lindenmayer. 2001

138 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/cdce1a5c352ee65fd1674d8a68fca12bc054f127

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Citations in the corpus

WHAT CAN HABITAT PREFERENCE MODELS TELL US? TESTS USING A VIRTUAL TROUT POPULATION (2003, background): “Habitat selection models (often referred to as ‘‘preference’’ or ‘‘habitat index’’ models) are widely used to evaluate habitat quality and predict effects of habitat alteration on animal populations.”
Absent or undetected? Effects of non-detection of species occurrence on wildlife-habitat models (2004, background): “An increased reliance on the use of presence–absence data for decision making in habitat conservation and management highlights the need to evaluate the performance of habitat-occupancy models (Tyre et al., 2001; Cinchy et al., 2002).”
Establishing the link between habitat selection and animal population dynamics (2015, background): “Here, we have contributed to this increasingly active area of research (Tyre et al. 2001, Railsback et al. 2003, Aldridge and Boyce 2008, Gaillard et al. 2010, Hoffman et al. 2010, Morales et al. 2010, DeCesare et al. 2014).”
A habitat-based framework for grizzly bear conservation in Alberta (2006, background): “Describing species occurrence, or even that of abundance, however, does not necessarily parallel habitat relationships for populations, as occurrence and abundance can be poor . surrogates for demographic performance (Van Horne, 1983; Hobbs and Hanley, 1990; Tyre et al., 2001).”
Novel methods improve prediction of species' distributions from occurrence data (2006, unknown): “However, as the true potential range may differ from the realized range because of dispersal limitation, competition or other factors (Van Horne 1983, Hanski 1994, Tyre et al. 2001, Anderson et al. 2002), evaluating model performance is a complex task and use of observed absences may be misleading.”
Constrain to perform: Regularization of habitat models (2006, background): “The effects of these complications an be studied with more elaborate, individual-based irtual species models (Tyre et al., 2001; Railsback t al., 2003).”
A species-centered approach for uncovering generalities in organism responses to habitat loss and fragmentation (2014, unknown): “…issues that aﬀ ect species distribution modeling in general; speciﬁ cally, the apparent absence of a species at a particular site may have little to do with site-level conditions, but could be inﬂ uenced by imperfect detection (MacKenzie et al. 2002) or demographic stochasticity (Tyre et al. 2001).”
Competing roles for landscape, vegetation, topography and climate in predictive models of bird distribution (2004, background): “However, even a perfect knowledge of the biology of a species cannot guarantee that a static map will reflect dynamic properties of species distribution (Tyre et al., 2001).”
USE OF POPULATION VIABILITY ANALYSIS AND RESERVE SELECTION ALGORITHMS IN REGIONAL CONSERVATION PLANS (2003, background): “Presence or absence of individuals is often a poor indicator of the importance of an area for maintaining population viability (Tyre et al. 2001).”
Constrain to perform: Regularization of habitat models (2006, background): “The effects of these complicat an be studied with more elaborate, individual-ba irtual species models(Tyre et al., 2001; Railsbac t al., 2003) .”
Utility and limitations of species richness metrics for conservation planning (2006, background): “Using comparative values of species richness as a criterion for establishing land-use priorities is prone to error unless the changing nature of species richness and the dynamic processes that give rise to it are taken into account (Conroy and Noon, 1996; Tyre et al., 2001; Bestelmeyer et al., 2003)”