2018
DOI: 10.1111/cobi.13096
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Predicting reintroduction outcomes for highly vulnerable species that do not currently coexist with their key threats

Abstract: Predicting reintroduction outcomes before populations are released is inherently challenging. It becomes even more difficult when the species being considered for reintroduction no longer coexists with the key threats limiting its distribution. However, data from other species facing the same threats can be used to make predictions under these circumstances. We used an integrated Bayesian modeling approach to predict growth of a reintroduced population at a range of predator densities when no data are availabl… Show more

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Cited by 8 publications
(8 citation statements)
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“…Island translocations of small passerines in and around New Zealand are routine and managers are among leaders in the field of translocation science. For such species, source and release populations may be small but have been intensively monitored for several decades (e.g., Armstrong et al, 2017; Miskelly & Powlesland, 2013; Parlato & Armstrong, 2018). For those actively involved in management, any impact on source populations would, very reasonably, be considered negligible due to the history of sustainably harvesting from these populations.…”
Section: Discussionmentioning
confidence: 99%
“…Island translocations of small passerines in and around New Zealand are routine and managers are among leaders in the field of translocation science. For such species, source and release populations may be small but have been intensively monitored for several decades (e.g., Armstrong et al, 2017; Miskelly & Powlesland, 2013; Parlato & Armstrong, 2018). For those actively involved in management, any impact on source populations would, very reasonably, be considered negligible due to the history of sustainably harvesting from these populations.…”
Section: Discussionmentioning
confidence: 99%
“…This type of application has parallels with methods for inferring unobserved ecological processes using indicator or surrogate species (e.g. Wenger, 2008; Parlato and Armstrong, 2018; Fleming et al., 2020).…”
Section: Discussionmentioning
confidence: 99%
“…This approach allowed us to use all available information to estimate population size for years with data and infer population size for years without. Finally, we stochastically estimated the average finite rate of population growth λ at the source site following Parlato and Armstrong (2018):λgoodbreak=φad+φitalicad2+4PfemitalicfÎłÏ†italicjuv22.…”
Section: Methodsmentioning
confidence: 99%
“…This trade‐off can sometimes be solved by establishing captive populations that become sources for translocations, but captivity is not an option for every species (Canessa, Converse, et al, 2016). Identifying the appropriate number of individuals to translocate to a wild site is complicated because the optimal numbers depend on the vital rates expected at the destination sites and those rates are highly uncertain for translocations involving endangered species (Parlato & Armstrong, 2018). It is therefore essential for translocation planning to be able to forecast both the demographic impacts on source populations and the establishment of destination populations in face of uncertainty (IUCN, 2013; Panfylova et al, 2019).…”
Section: Introductionmentioning
confidence: 99%