e-journal

Using social structure to improvemortality estimates: an example with sperm whales

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1. Estimates of mortality are fundamental to studies of population ecology and assessments of conservation status.
Mortality is frequently estimated using individual identifications by means of mark–recapture methods.
These estimates become biased with heterogeneity in identification and especially if patterns of heterogeneity
change with time.
2. If animals are social, then survival may be inferred from the identifications of social partners. We produce a
likelihoodmodel for estimatingmortality using such social data.
3. We show using simulation that this method can produce less biased and more precise estimates of mortality
than standard methods when individuals are almost always identified with associates, and when there are timevarying
patterns of heterogeneity in identifiability. The method seems little affected by some change in social
affiliations or by growth or decline in population size. SEs and confidence intervals of mortality estimates can be
estimated using likelihood methods.We apply the method to data from a population of sperm whales (Physeter
macrocephalus) in the eastern Caribbean, obtaining estimates that are more precise and probably less biased than
those from other methods.
4. Themethod should be useful in improvingmortality estimates for social species.
Key-words: likelihood, management, mark-recapture, Physeter macrocephalus, population
parameters, social organization, status, stock assessment, survival

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Ketersediaan

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Informasi Detail

Judul Seri

Methods in Ecology and Evolution

No. Panggil

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Penerbit

: British Ecological Society., 2014

Deskripsi Fisik

Methods in Ecology and Evolution 2014, 5, 27–36

Bahasa

English

ISBN/ISSN

doi: 10.1111/2041-21

Klasifikasi

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Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

BIOLOGI

Info Detail Spesifik

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Pernyataan Tanggungjawab

Wati/Agus

Versi lain/terkait

Lampiran Berkas

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