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Sensitivity analysis of effective population size to demographic parameters in house sparrow populations
Authors:Marlene Wæge Stubberud  Ane Marlene Myhre  Håkon Holand  Thomas Kvalnes  Thor Harald Ringsby  Bernt‐Erik Sæther  Henrik Jensen
Affiliation:Department of Biology, Centre for Biodiversity Dynamics, Norwegian University of Science and Technology, Trondheim, Norway
Abstract:
The ratio between the effective and the census population size, urn:x-wiley:09621083:media:mec14057:mec14057-math-0013, is an important measure of the long‐term viability and sustainability of a population. Understanding which demographic processes that affect urn:x-wiley:09621083:media:mec14057:mec14057-math-0014 most will improve our understanding of how genetic drift and the probability of fixation of alleles is affected by demography. This knowledge may also be of vital importance in management of endangered populations and species. Here, we use data from 13 natural populations of house sparrow (Passer domesticus) in Norway to calculate the demographic parameters that determine urn:x-wiley:09621083:media:mec14057:mec14057-math-0015. Using the global variance‐based Sobol’ method for the sensitivity analyses, we found that urn:x-wiley:09621083:media:mec14057:mec14057-math-0016 was most sensitive to demographic variance, especially among older individuals. Furthermore, the individual reproductive values (that determine the demographic variance) were most sensitive to variation in fecundity. Our results draw attention to the applicability of sensitivity analyses in population management and conservation. For population management aiming to reduce the loss of genetic variation, a sensitivity analysis may indicate the demographic parameters towards which resources should be focused. The result of such an analysis may depend on the life history and mating system of the population or species under consideration, because the vital rates and sex–age classes that urn:x-wiley:09621083:media:mec14057:mec14057-math-0017 is most sensitive to may change accordingly.
Keywords:effective population size  population management  population size  sensitivity analysis  two‐sex demographic model
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