Habitat-based spatial models of cetacean density in the eastern Pacific Ocean

By Karin A. Forney, M. Ferguson, Elizabeth A. Becker, Paul C. Fiedler, Jessica V. Redfern, Jay Barlow, I. Vilchis, L. Ballance. 2012

128 citations recorded by the source corpus.

Subfields: Ecology, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/20e6a734ef7325aed765b003af6f94ef5e28a034

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In Ecology

In Global and Planetary Change

Citations in the corpus

Temporal resolutions in species distribution models of highly mobile marine animals: Recommendations for ecologists and managers (2017, background): “For example, Dall’s porpoise (Phocoenoides dalli) were found in large numbers off central California in years of strong upwelling and cold waters but shifted their distribution farther north in years of weak upwelling and warm waters (Forney et al., 2012).”
Seasonal habitat-based density models for a marine top predator, the harbor porpoise, in a dynamic environment (2016, methodology): “Generalized additive models (GAMs; Hastie and Tibshirani 1990) have previously been used to model nonlinear relationships between cetaceans and habitat covariates (e.g., Becker et al. 2010, 2014, Gilles et al. 2011, Forney et al. 2012, 2015).”
Predicting cetacean abundance and distribution in a changing climate (2018, methodology): “…in population density due to movement of animals within or outside of the study area (Barlow et al., 2009; Boyd et al., 2018; Ferguson et al., 2006), this source of uncertainty was used to produce lognormal 90% confidence intervals for the spatial density estimates (Forney et al., 2012).”
Inferring trackline detection probabilities, g(0), for cetaceans from apparent densities in different survey conditions (2015, methodology): “Beaufort state is often included in such habitat-based spatial models to account for non-habitat variation in apparent density, but predicted densities are typically based on average Beaufort conditions (Forney et al. 2012).”