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Using long-term data for a reintroduced population to empirically estimate future consequences of inbreeding
Authors:Doug P. Armstrong  Elizabeth H. Parlato  Barbara Egli  Wendy J. Dimond  Renske Kwikkel  Åsa Berggren  Mhairi McCready  Kevin A. Parker  John G. Ewen
Affiliation:1. Wildlife Ecology Group, Massey University, Private Bag 11222, Palmerston North, New Zealand;2. Wildlife Ecology Group, Massey University, Private Bag 11222, Palmerston North, New Zealand

Current address: ANU Medical School, ANU College of Health and Medicine, The Australian National University, Parkville, ACT, 2601 Australia;3. Van Hall Instituut, Agora 1, 8934 CJ, Leeuwarden, Netherlands;4. Department of Ecology, Swedish University of Agricultural Sciences, Box 7070, Uppsala, 750 07 Sweden;5. Hihi Conservation Charitable Trust, Wellington, New Zealand;6. Parker Conservation, PO Box 130, Warkworth, Auckland, New Zealand;7. Institute of Zoology, Zoological Society of London, Regent's Park, London, U.K

Abstract:Inbreeding depression is an important long-term threat to reintroduced populations. However, the strength of inbreeding depression is difficult to estimate in wild populations because pedigree data are inevitably incomplete and because good data are needed on survival and reproduction. Predicting future population consequences is especially difficult because this also requires projecting future inbreeding levels and their impacts on long-term population dynamics, which are subject to many uncertainties. We illustrate how such projections can be derived through Bayesian state-space modeling methods based on a 26-year data set for North Island Robins (Petroica longipes) reintroduced to Tiritiri Matangi Island in 1992. We used pedigree data to model increases in the average inbreeding level (F ) over time based on kinship of possible breeding pairs and to estimate empirically Ne/N (effective/census population size). We used multiple imputation to model the unknown components of inbreeding coefficients, which allowed us to estimate effects of inbreeding on survival for all 1458 birds in the data set while modeling density dependence and environmental stochasticity. This modeling indicated that inbreeding reduced juvenile survival (1.83 lethal equivalents [SE 0.81]) and may have reduced subsequent adult survival (0.44 lethal equivalents [0.81]) but had no apparent effect on numbers of fledglings produced. Average inbreeding level increased to 0.10 (SE 0.001) as the population grew from 33 (0.3) to 160 (6) individuals over the 25 years, giving a urn:x-wiley:08888892:media:cobi13646:cobi13646-math-0001 ratio of 0.56 (0.01). Based on a model that also incorporated habitat regeneration, the population was projected to reach a maximum of 331–1144 birds (median 726) in 2130, then to begin a slow decline. Without inbreeding, the population would be expected stabilize at 887–1465 birds (median 1131). Such analysis, therefore, makes it possible to empirically derive the information needed for rational decisions about inbreeding management while accounting for multiple sources of uncertainty.
Keywords:Bayesian hierarchical modeling  inbreeding depression  New Zealand  North Island robin  population modeling  reintroduction  small populations  Toutouwai  depresión endogámica  modelado jerárquico bayesiano  modelado poblacional  Nueva Zelanda  poblaciones pequeñas  reintroducción  tordo de la Isla del Norte  toutouwai
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