2014
DOI: 10.1007/s10592-014-0641-9
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Spatial genetic architecture of the critically-endangered Maui Parrotbill (Pseudonestor xanthophrys): management considerations for reintroduction strategies

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Cited by 7 publications
(12 citation statements)
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“…The variables with the most uncertainty included initial population size and annual habitat loss as predicted through climate change models. However, our sensitivity analysis identified female mortality at all ages as the parameter most responsible for driving the observed population changes, with juvenile survivorship and fecundity playing a lesser role; yet (with the exception of juvenile survivorship), these are all parameter estimates that we have high confidence in from empirical studies (e.g., Mounce et al 2015). Our model predictions contrast with the estimated population estimates based on point counts over the past 20 y (Camp et al 2009).…”
Section: Discussionmentioning
confidence: 89%
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“…The variables with the most uncertainty included initial population size and annual habitat loss as predicted through climate change models. However, our sensitivity analysis identified female mortality at all ages as the parameter most responsible for driving the observed population changes, with juvenile survivorship and fecundity playing a lesser role; yet (with the exception of juvenile survivorship), these are all parameter estimates that we have high confidence in from empirical studies (e.g., Mounce et al 2015). Our model predictions contrast with the estimated population estimates based on point counts over the past 20 y (Camp et al 2009).…”
Section: Discussionmentioning
confidence: 89%
“…(-) indicates not applicable. Input parameters were derived from Mounce et al (2013Mounce et al ( , 2014Mounce et al ( , 2015, Warren et al (2015). ers could implement given existing resources and capabilities in attempts to recover the wild population.…”
Section: Discussionmentioning
confidence: 99%
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