Demographic influences of translocated individuals on a resident population of house sparrows

Ranke, Peter Sjolte; Skjelseth, Sigrun; Pärn, Henrik; Herfindal, Ivar; Pedersen, Åsa Alexandra Borg; Stokke, Bård G.; Kvalnes, Thomas; Ringsby, Thor Harald; Sæther, Bernt‐Erik; Jensen, Henrik

doi:10.1111/oik.04065

Cited by 7 publications

(4 citation statements)

References 48 publications

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“…It is necessary to have some idea of the likely acclimation period when making inferences about post-release effects. In studies that explicitly account for post-release effects (Table 1), the standard approach is to nominate a fixed acclimation period and either i) exclude survival data over that period (e.g., Normande et al, 2015;Ashbrook et al, 2016;Ranke et al, 2017), or ii) use model selection criteria to test whether survival differs from normal survival over that period, and differentiate the two if the difference is significant (e.g., Bertolero and Oro, 2009;Cochran-Biederman et al, 2015;Yu et al, 2015). In contrast, Tuberville et al (2008) and Panfylova et al (2016) used a more flexible approach whereby they nominated two alternative acclimation periods and used model averaging to incorporate this source of uncertainty.…”

Section: Introductionmentioning

confidence: 99%

Using Bayesian mark-recapture modelling to quantify the strength and duration of post-release effects in reintroduced populations

Armstrong

Cœur

Thorne

et al. 2017

Biological Conservation

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Translocated animals often suffer elevated mortality during some acclimation period after release. Such post-release effects must be accounted for when estimating normal survival rates and therefore predicting population persistence. The standard approach for doing this is to nominate a fixed acclimation period, and either i) exclude survival data over that period, or ii) use model selection criteria to test whether survival differs over that period. We present a more flexible approach where the acclimation period is treated as unknown and is estimated simultaneously with the pre-and post-acclimation survival probabilities. We illustrate this approach using survival data for six reintroduced populations involving three New Zealand forest bird species. Analyses of the complete data sets (22-73 surveys conducted over 4-14 years) indicated that significant post-release effects occurred in at least one sex in five of the six populations, with 30-84% mortality attributable to post-release effects over acclimation periods ranging from 1-9 months. When we applied the approach to just the first year of data for each population, the estimated normal survival rates were consistent with those obtained from the complete data sets, and always at least as accurate as our previous approach of excluding data up to the next breeding season after translocation. The flexible approach therefore appears to be effective for accounting for post-release effects in survival estimation, and is beneficial in quantifying both the strength and duration of those effects so that pre-and post-release management strategies are better informed.

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Section: Introductionmentioning

confidence: 99%

Using Bayesian mark-recapture modelling to quantify the strength and duration of post-release effects in reintroduced populations

Armstrong

Cœur

Thorne

et al. 2017

Biological Conservation

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“…We developed a simplified multievent capture–mark–resight model to estimate survival ( S ) and transition probabilities (ψ) from an individual's natal location to their first breeding location, allowing for uncertainty in an adult's state assignment (δ) but without any uncertainty in initial state assignment (Pradel, 2005; Figure 2a). We used a hierarchical Bayesian multievent model (Kéry & Schaub, 2012; Ranke et al, 2017) based on the parameterization of the multievent model by Pradel (2005). Our simplified model structure included four parameters as there was no uncertainty of state assignment at initial capture for hatch‐year chicks: S —the probability of survival for individuals in state i from time t to

t + 1 ({S_{t}}^{i})

; ψ—the probability of transitioning from state i to state j between times t and t + 1 given that it survives at time

t ({ψ_{t}}^{i j})

; p —the probability of being detected at time t given that it is in state i at time

t ({p_{t}}^{i})

; and δ—the probability that, given it is encountered, the state is assigned correctly

({δ_{t}}^{i | i})

.…”

Section: Methodsmentioning

confidence: 99%

Implications of habitat‐driven survival and dispersal on recruitment in a spatially structured piping plover population

et al. 2022

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Natal survival and dispersal have important consequences for populations through the movement of genes and individuals. Metapopulation theory predicts either balanced natal dispersal among regions or source-sink dynamics, which can dramatically change population structure. For species reliant on dynamic, early-successional habitats, availability and location of habitat will shift from year to year, requiring primiparous individuals to locate an appropriate breeding habitat. We estimated hatch-year survival to adulthood and natal dispersal rates between two breeding groups of Northern Great Plains piping plovers (Charadrius melodus) from four cohorts (n = 2669 total individuals; 2014-2017). Hatch-year survival to adulthood was slightly higher for individuals hatched on the Missouri River than on the US Alkali Wetlands but declined over time. Individuals hatched on the US Alkali Wetlands were more likely to disperse to breed on the Missouri River (0.33 [0.20, 0.48]) than vice versa (0.17 [0.11, 0.24]). When more habitat was available at the natal site than in the prior year, natal dispersal rates increased. However, despite higher recruitment rates as a result of higher natal fidelity, the Missouri River showed lower total recruitment with a declining trend in the number of recruits, largely due to differences in abundance between breeding groups. Overall, unbalanced, high natal dispersal rates within the Northern Great Plains indicate high connectivity among distinct regions with different water regimes on the Missouri River and on the US Alkali Wetlands driven by fluctuating availability of habitat. Our results suggest that plovers in the Northern Great Plains take advantage of dynamic habitats where they are available in a broad geographic area, which is consistent with a spatially structured panmictic population rather than a true metapopulation, but further research on adult breeding dispersal is needed to clarify population structure.

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“…The above individual is shown carrying nestbuilding materials, en route to the nest site (photo by P. S. Ranke). probabilities across a large geographic area (Jensen et al, 2013;Kvalnes et al, 2017;Nafstad et al, 2023;Ranke et al, 2017Ranke et al, , 2020, have additionally contributed to documenting rare dispersal events, and our intensive field campaign contributes to about half of our documented long-distance dispersal events. Moreover, color-ringed individuals would be more conspicuous and easier to detect also for local inhabitants, which might additionally increase detection probabilities of individuals from our study populations.…”

Section: F I G U R Ementioning

confidence: 99%

“…15 and 300 km south of the main study metapopulation during the years 2001-2022 (in total ca. 11,750 house sparrows ringed; Kvalnes et al, 2017;Nafstad et al, 2023;Ranke et al, 2017Ranke et al, , 2020Stubberud et al, 2017), combined with regular ringing recoveries by local inhabitants (Bakken et al, 2006), allow us to explore patterns in a high number of individual house sparrow movements across long periods of time and over large geographical distances, which exceed those of our main study metapopulation (see Figure 1). Here, we aim to describe and document such long-distance dispersal events in reference to the dispersal dynamics within a metapopulation of house sparrows.…”

Section: Introductionmentioning

confidence: 99%

Long‐distance dispersal in the short‐distance dispersing house sparrow (Passer domesticus)

Ranke,

Pepke,

Søraker

et al. 2024

Ecology and Evolution

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The house sparrow (Passer domesticus) is a small passerine known to be highly sedentary. Throughout a 30‐year capture–mark–recapture study, we have obtained occasional reports of recoveries far outside our main metapopulation study system, documenting unusually long dispersal distances. Our records constitute the highest occurrence of long‐distance dispersal events recorded for this species in Scandinavia. Such long‐distance dispersals radically change the predicted distribution of dispersal distances and connectedness for our study metapopulation. Moreover, it reveals a much greater potential for colonization than formerly recorded for the house sparrow, which is an invasive species across four continents. These rare and occasional long‐distance dispersal events are challenging to document but may have important implications for the genetic composition of small and isolated populations and for our understanding of dispersal ecology and evolution.

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Demographic influences of translocated individuals on a resident population of house sparrows

Cited by 7 publications

References 48 publications

Using Bayesian mark-recapture modelling to quantify the strength and duration of post-release effects in reintroduced populations

Using Bayesian mark-recapture modelling to quantify the strength and duration of post-release effects in reintroduced populations

Implications of habitat‐driven survival and dispersal on recruitment in a spatially structured piping plover population

Long‐distance dispersal in the short‐distance dispersing house sparrow (Passer domesticus)

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