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Estimation of survival rate and extinction probability for stage‐structured populations with overlapping life stages
Author(s) -
Aubry Aurélie,
Bécart Emeline,
Davenport John,
Emmerson Mark Charles
Publication year - 2010
Publication title -
population ecology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.819
H-Index - 59
eISSN - 1438-390X
pISSN - 1438-3896
DOI - 10.1007/s10144-010-0194-9
Subject(s) - fecundity , biology , ecology , extinction (optical mineralogy) , bufo , population , amphibian , mark and recapture , toad , demography , paleontology , sociology
The development of methods providing reliable estimates of demographic parameters (e.g., survival rates, fecundity) for wild populations is essential to better understand the ecology and conservation requirements of individual species. A number of methods exist for estimating the demographics of stage‐structured populations, but inherent mathematical complexity often limits their uptake by conservation practitioners. Estimating survival rates for pond‐breeding amphibians is further complicated by their complex migratory and reproductive behaviours, often resulting in nonobservable states and successive cohorts of eggs and tadpoles. Here we used comprehensive data on 11 distinct breeding toad populations ( Bufo calamita ) to clarify and assess the suitability of a relatively simple method [the Kiritani–Nakasuji–Manly (KNM) method] to estimate the survival rates of stage‐structured populations with overlapping life stages. The study shows that the KNM method is robust and provides realistic estimates of amphibian egg and larval survival rates for species in which breeding can occur as a single pulse or over a period of several weeks. The study also provides estimates of fecundity for seven distinct toad populations and indicates that it is essential to use reliable estimates of fecundity to limit the risk of under‐ or overestimating the survival rates when using the KNM method. Survival and fecundity rates for B. calamita populations were then used to define population matrices and make a limited exploration of their growth and viability. The findings of the study recently led to the implementation of practical conservation measures at the sites where populations were most vulnerable to extinction.