Analysis and Management of Animal Populations: Modeling, Estimation and Decision Making

By B. Williams, James D. Nichols, M. Conroy. 2002

603 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/715632265d6343144956a5f64fb7fba9de74fd51

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Citations in the corpus

• A Review of Tagging Methods for Estimating Fish Population Size and Components of Mortality (2003, methodology): “The Jolly-Seber model (Jolly 1965; Seber 1965) and its variations (Cormack 1964; Pollock et al. 1990; Williams et al. 2002) are the primary open population capture-recapture models suitable for fisheries applications.”
• Density and activity patterns of ocelots (Leopardus pardalis) in northern Peru and the impact of oil exploration activities (2010, background): “Dillon and Kelly (2008) note that the local ranging behavior of a species may be the key determinant to the success of this method and, as was previously suggested (Williams et al., 2002), 1⁄2MMDM approaches will likely prove most useful when home range size is small relative to the sampling grid.”
• High river temperature reduces survival of sockeye salmon (Oncorhynchus nerka) approaching spawning grounds and exacerbates female mortality (2012, unknown): “In most applications of CJS-type models, f is an estimate of “apparent survival” as it equals the product between “true survival” (S) and the probability of individuals remaining in the sampling area (i.e., fidelity probability, F; Williams et al. 2001).”
• APPROXIMATING VARIANCE OF DEMOGRAPHIC PARAMETERS USING THE DELTA METHOD: A REFERENCE FOR AVIAN BIOLOGISTS (2007, methodology): “In all of these cases, the new demographic parameter is a function of at least one other demographic parameter; thus, the sampling variance of the new parameter is also a function of the sampling variance of the former parameters (Williams et al. 2002).”
• The concepts of bias, precision and accuracy, and their use in testing the performance of species richness estimators, with a literature review of estimator performance (2005, background): “…1998, Boulinier et al. 1998, Chazdon et al. 1998, Keating et al. 1998, Colwell 2000, Chao 2001, 2005, Walther and Martin 2001, Hughes et al. 2001, Williams et al. 2001, Bohannan and Hughes 2003, see also reviews of species diversity estimators by Lande 1996, Mouillot and Lepêtre 1999 and…”
• Evaluating Methods for Counting Cryptic Carnivores (2009, methodology): “However, if a homogenous, proportional relationship can be reliably demonstrated, a correction factor may be used to convert the index to an estimate of abundance (Schwarz and Seber 1999, Williams et al. 2002).”
• In Defense of Indices: The Case of Bird Surveys (2008, background): “…of such indices (Burnham 1981) has recently morphed into a torrent (Johnson 1995; Thompson et al. 1998; Nichols et al. 2000; Anderson 2001, 2003; Williams et al. 2001; Yoccoz et al. 2001; Farnsworth et al. 2002, 2005; MacKenzie and Kendall 2002; Rosenstock et al. 2002; Ellingson and Lukacs…”
• Importance of a pilot study for non-invasive genetic sampling: genotyping errors and population size estimation in red deer (2006, methodology): “The latter methods provide the most accurate and robust results (Schwartz and Seber 1999; Williams et al. 2002), however animal tagging for individual identification is required.”
• Biotelemetry and biologging in endangered species research and animal conservation: relevance to regional, national, and IUCN Red List threat assessments (2008, background): “As a result, population estimates generated for wildlife populations are notoriously fraught with bias and error, which brings uncertainty to threat assessments and the management (see Williams et al. 2002).”
• OTOLITH CHEMISTRY TO DESCRIBE MOVEMENTS AND LIFE-HISTORY PARAMETERS OF FISHES : HYPOTHESES, ASSUMPTIONS, LIMITATIONS AND INFERENCES (2008, background): “There is a rich and well-established statistical literature that deals with the use and misuse of tags (brownie et al. 1978, seber 1982, Williams et al. 2002) that can guide investigators in using tagging data properly. unfortunately, these statistical approaches have only been developed for…”
• Predator control allows critically endangered lizards to recover on mainland New Zealand. (2012, methodology): “As the timing of the photo–resight sessions straddled the birth season, skinks born during the monitoring period were removed from the statistical analyses to avoid violating the requirement of population closure (Williams et al. 2002).”