Estimating reproductive and juvenile survival rates when offspring ages are uncertain: A novel multievent mark-resight model with beluga whale case study

dc.contributor.authorHimes Boor, Gina K.
dc.contributor.authorMcGuire, Tamara L.
dc.contributor.authorWarlick, Amanda J
dc.contributor.authorTaylor, Rebecca L.
dc.contributor.authorConverse, Sarah J.
dc.contributor.authorMcClung, John R.
dc.date.accessioned2023-01-03T21:43:14Z
dc.date.available2023-01-03T21:43:14Z
dc.date.issued2022-12
dc.description.abstractUnderstanding the survival and reproductive rates of a population is critical to determining its long-term dynamics and viability. Mark-resight models are often used to estimate these demographic rates, but estimation of survival and reproductive rates is challenging, especially for wide-ranging, patchily distributed, or cryptic species. In particular, existing mark-resight models cannot accommodate data from populations in which offspring remain with parents for multiple years, are not always detected, and cannot be aged with certainty. Here we describe a Bayesian multievent mark-resight modelling framework that uses all available adult and adult-offspring sightings (including sightings with older offspring of uncertain age) to estimate reproductive rates and survival rates of adults and juveniles. We extend existing multievent mark-resight models that typically only incorporate adult breeding state uncertainty by additionally accounting for age uncertainty in unmarked offspring and uncertainty in the duration of the mother-offspring association. We describe our model in general terms and with a simple illustrative example, then apply it in a more complex empirical setting using 13 years of photo-ID data from a critically endangered population of beluga whales Delphinapterus leucas. We evaluated model performance using simulated data under a range of sample sizes, and adult and offspring detection rates.Applying our model to the beluga data yielded precise estimates for all demographic rates of interest (despite substantial uncertainty in calf ages), including nonbreeder survival and reproductive rates lower than in other beluga populations. Simulations suggested our model yields asymptotically unbiased parameter estimates with good precision and low bias even with moderate sample sizes and detection rates. This work represents an important new development in multievent mark-resight modelling, allowing estimation of reproductive and juvenile survival rates for populations with extended adult—offspring associations and uncertain offspring ages (e.g. some marine mammals, elephants, bears, great apes, bats and birds). Our model facilitated estimation of robust demographic rates for an endangered beluga population that were previously inestimable (e.g. nonbreeder and juvenile survival, reproductive rate) and that will yield new insights into this population's continued decline.en_US
dc.identifier.citationHimes Boor, G. K., McGuire, T. L., Warlick, A. J., Taylor, R. L., Converse, S. J., McClung, J. R., & Stephens, A. D. (2022). Estimating reproductive and juvenile survival rates when offspring ages are uncertain: A novel multievent mark-resight model with beluga whale case study. Methods in Ecology and Evolution, 00, 1–12. h t t p s : //d o i .org/10.1111/2041-210X.14032en_US
dc.identifier.issn2041-210x
dc.identifier.urihttps://scholarworks.montana.edu/handle/1/17572
dc.language.isoen_USen_US
dc.publisherWileyen_US
dc.rightscc-by-nc-nden_US
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.subjectBayesian analysien_US
dc.subjectendangered Cook Inlet beluga whaleen_US
dc.subjectextended parental careen_US
dc.subjectjuvenile survival rateen_US
dc.subjectmultievent mark-recapture modelen_US
dc.subjectphoto-ID dataen_US
dc.subjectreproductive rateen_US
dc.subjectstate uncertaintyen_US
dc.titleEstimating reproductive and juvenile survival rates when offspring ages are uncertain: A novel multievent mark-resight model with beluga whale case studyen_US
dc.typeArticleen_US
mus.citation.extentfirstpage1en_US
mus.citation.extentlastpage12en_US
mus.citation.journaltitleMethods in Ecology and Evolutionen_US
mus.data.thumbpage7en_US
mus.identifier.doi10.1111/2041-210X.14032en_US
mus.relation.collegeCollege of Letters & Scienceen_US
mus.relation.departmentEcology.en_US
mus.relation.universityMontana State University - Bozemanen_US

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