Testing the additive versus the compensatory hypothesis of mortality from ring recovery data using a random effects model

By Michael Schaub, J. Lebreton. Animal Biodiversity and Conservation, 2004

50 citations recorded by the source corpus.

The interaction of an additional source of mortality with the underlying “natural” one strongly affects population dynamics. We propose an alternative way to test between two forms of interaction, total additivity and compensation. In contrast to existing approaches, only ring-recovery data where the cause of death of each recovered individual is known are needed. Cause-specific mortality proportions are estimated based on a multistate capture-recapture model. The hypotheses are tested by inspecting the correlation between the cause-specific mortality proportions. A variance decomposition is performed to obtain a proper estimate of the true process correlation. The estimation of the cause-specific mortality proportions is the most critical part of the approach. It works well if at least one of the two mortality rates varies across time and the two recovery rates are constant across time. We illustrate this methodology by a case study of White Storks Ciconia ciconia where we tested whether mortality induced by power line collision is additive to other forms of mortality.

Subfields: Ecology

View Paper: https://www.semanticscholar.org/paper/78b67cb38217f77a20a972d772abd0dfb59ff3fb

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Citations in the corpus

Disentangling Natural From Hunting Mortality in an Intensively Hunted Wild Boar Population (2008, methodology): “…hunting and natural mortality in an intensively monitored wild boar population in eastern France using capture–mark–recapture–recovery (CMRR) methods, which would allow us to combine live recaptures and hunting recoveries (see Schaub and Pradel 2004 for a similar approach) into a unified analysis.”
Chapter 3 Modeling Individual Animal Histories with Multistate Capture–Recapture Models (2009, methodology): “The two‐ stage approach to inference under a random effect model was proposed by Krementz et al. (1997) in a case where Ŝ is diagonal, and by Barker et al. (2002) and Schaub and Lebreton (2004).”
DYNAMICAL AND STATISTICAL MODELS FOR EXPLOITED POPULATIONS † (2005, methodology): “Recently Schaub & Lebreton (2004) proposed a radically different approach for species where recoveries from several causes are available.”
Massive immigration balances high anthropogenic mortality in a stable eagle owl population: Lessons for conservation (2010, methodology): “…of the mortality causes (Schaub, 2009), an assessment of whether the mortality cause considered is fully additive to the remaining mortality (Schaub and Lebreton, 2004), as well as the construction of a demographic model to evaluate whether a reduction in a focal mortality cause may improve…”