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Overestimates of maternity and population growth rates in multi-annual breeders
Authors:Guillaume Chapron  Robert Wielgus  Amaury Lambert
Affiliation:1. Grims? Wildlife Research Station, Department of Ecology, Swedish University of Agricultural Sciences, 73091, Riddarhyttan, Sweden
2. Conservation Biology Division, Institute of Ecology and Evolution, University of Bern, Baltzerstrasse 6, CH–3012, Bern, Switzerland
3. Département Ecologie et Gestion de la Biodiversité, Museum National d’Histoire Naturelle, 57 rue Cuvier, 75231, Paris Cedex 05, France
4. Large Carnivore Conservation Laboratory, Department of Natural Resource Sciences, Washington State University, Pullman, WA, 99164-6410, USA
5. Laboratoire de Probabilités et Modèles Aléatoires, UPMC Université Paris, 06, Case courrier 188, 4, Place Jussieu, 75252, Paris Cedex 05, France
Abstract:There has been limited attention to estimating maternity rate because it appears to be relatively simple. However, when used for multi-annual breeder species, such as the largest carnivores, the most common estimators introduce an upward bias by excluding unproductive females. Using a simulated dataset based on published data, we compare the accuracy of maternity estimates derived from standard methods against estimates derived from an alternative method. We show that standard methods overestimate maternity rates in the presence of unsuccessful pregnancies. Importantly, population growth rates derived from a matrix model parameterized with the biased estimates may indicate increasing populations although the populations are stable or even declining. We recommend the abandonment of the biased standard methods and to instead use the unbiased alternative method for population projections and assessments of population viability.
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