Item talk:Q305229
From geokb
{
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"@type": "Article",
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"name": "Estimation of metademographic rates and landscape connectivity for a conservation-reliant anuran",
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"value": "10.1007/s10980-020-01030-8",
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"journal": {
"@type": "Periodical",
"name": "Landscape Ecology",
"volumeNumber": "35",
"issueNumber": null
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"inLanguage": "en",
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"datePublished": "2020",
"dateModified": "2022-02-11",
"abstract": "ContextAmphibian conservation efforts commonly assume populations are tied to waterbodies that collectively function as a metapopulation. This assumption is rarely evaluated, and there is a need to understand the degree of connectivity among patches to appropriately define, manage, and conserve biological populations.ObjectivesOur objectives were to quantify local persistence, colonization, and recruitment (metademographic rates) in relation to habitat attributes, evaluate the influence of the spatial arrangement of patches on landscape-scale population dynamics, and estimate the scale at which metapopulation dynamics are occurring for Oregon spotted frog (Rana pretiosa).MethodsWe collected\u00a0R. pretiosa\u00a0detection/non-detection data and habitat information from 93 sites spread throughout the species\u2019 extant range in Oregon, USA, 2010\u20132018. We developed a spatial multistate dynamic occupancy model to analyze these data.ResultsThe proportion of sites occupied by\u00a0R. pretiosa\u00a0was relatively stable despite regular turnover in site occupancy. Connectivity was greatest when the distance between sites was within 4.49\u20137.70\u00a0km, and the results suggested that populations within 1\u00a0km are at the appropriate spatial scale for effective population management.\u00a0Rana pretiosa\u00a0metademographic rates were strongly tied to water availability, vegetation characteristics, and beaver dams.ConclusionsOur analysis provides critical information to identify the appropriate spatial scale for effective population management, estimates the distance at which populations are connected, and quantifies the effects of hypothesized threats to species at a landscape scale. We believe this model will prove to be useful to inform conservation and management strategies for multiple species.",
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