Registro completo de metadatos
| Campo DC | Valor | Lengua/Idioma |
|---|---|---|
| dc.creator | Mathioppoulos, Jason | - |
| dc.creator | Fieberg, John | - |
| dc.creator | Aarts, Geert A. | - |
| dc.creator | Beyer, Hawthorne L. | - |
| dc.creator | Morales, Juan Manuel | - |
| dc.creator | Haydon, Daniel T. | - |
| dc.date | 2016-12-19T22:09:07Z | - |
| dc.date | 2016-12-19T22:09:07Z | - |
| dc.date | 2015-07 | - |
| dc.date | 2016-12-12T14:35:34Z | - |
| dc.date.accessioned | 2019-04-29T15:57:01Z | - |
| dc.date.available | 2019-04-29T15:57:01Z | - |
| dc.identifier | Mathioppoulos, Jason; Fieberg, John; Aarts, Geert A.; Beyer, Hawthorne L.; Morales, Juan Manuel; et al.; Establishing the link between habitat selection and animal population dynamics; Ecological Society Of America; Ecological Monographs; 85; 3; 7-2015; 413-436 | - |
| dc.identifier | 0012-9615 | - |
| dc.identifier | http://hdl.handle.net/11336/9817 | - |
| dc.identifier.uri | http://rodna.bn.gov.ar:8080/jspui/handle/bnmm/306038 | - |
| dc.description | Although classical ecological theory (e.g., on ideal free consumers) recognizes the potential effect of population density on the spatial distribution of animals, empirical species distribution models assume that species–habitat relationships remain unchanged across a range of population sizes. Conversely, even though ecological models and experiments have demonstrated the importance of spatial heterogeneity for the rate of population change, we still have no practical method for making the connection between the makeup of real environments, the expected distribution and fitness of their occupants, and the long-term implications of fitness for population growth. Here, we synthesize several conceptual advances into a mathematical framework using a measure of fitness to link habitat availability/selection to (density-dependent) population growth in mobile animal species. A key feature of this approach is that it distinguishes between apparent habitat suitability and the true, underlying contribution of a habitat to fitness, allowing the statistical coefficients of both to be estimated from multiple observation instances of the species in different environments and stages of numerical growth. Hence, it leverages data from both historical population time series and snapshots of species distribution to predict population performance under environmental change. We propose this framework as a foundation for building more realistic connections between a population’s use of space and its subsequent dynamics (and hence a contribution to the ongoing efforts to estimate a species’ critical habitat and fundamental niche). We therefore detail its associated definitions and simplifying assumptions, because they point to the framework’s futu3re extensions. We show how the model can be fit to data on species distributions and population dynamics, using standard statistical methods, and we illustrate its application with an individual-based simulation. When contrasted with nonspatial population models, our approach is better at fitting and predicting population growth rates and carrying capacities. Our approach can be generalized to include a diverse range of biological considerations. We discuss these possible extensions and applications to real data. | - |
| dc.description | Fil: Mathioppoulos, Jason. University Of Glasgow; Reino Unido | - |
| dc.description | Fil: Fieberg, John. University Of Minnesota; Estados Unidos | - |
| dc.description | Fil: Aarts, Geert A.. Institute for Marine Resources and Ecosystem Studies; Países Bajos. Department of Aquatic Ecology and Water Quality Management; Países Bajos | - |
| dc.description | Fil: Beyer, Hawthorne L.. The University Of Queensland; Australia | - |
| dc.description | Fil: Morales, Juan Manuel. Universidad Nacional del Comahue. Centro Regional Universitario Bariloche. Laboratorio de Ecotono; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Patagonia Norte. Instituto de Investigación en Biodiversidad y Medioambiente; Argentina | - |
| dc.description | Fil: Haydon, Daniel T.. University Of Glasgow; Reino Unido | - |
| dc.format | application/pdf | - |
| dc.format | application/pdf | - |
| dc.format | application/pdf | - |
| dc.language | eng | - |
| dc.publisher | Ecological Society Of America | - |
| dc.relation | info:eu-repo/semantics/altIdentifier/url/http://onlinelibrary.wiley.com/doi/10.1890/14-2244.1/full | - |
| dc.relation | info:eu-repo/semantics/altIdentifier/url/https://doi.org/10.1890/14-2244.1 | - |
| dc.rights | info:eu-repo/semantics/openAccess | - |
| dc.rights | https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ | - |
| dc.source | reponame:CONICET Digital (CONICET) | - |
| dc.source | instname:Consejo Nacional de Investigaciones Científicas y Técnicas | - |
| dc.source | instacron:CONICET | - |
| dc.subject | ACCESSIBILITY | - |
| dc.subject | CLIMATE CHANGE | - |
| dc.subject | CONSERVATION | - |
| dc.subject | DENSITY DEPENDENCE | - |
| dc.subject | GENERALIZED FUNCTIONAL RESPONSE | - |
| dc.subject | MATHEMATICAL MODEL | - |
| dc.subject | RESOURCE SELECTION FUNCTION | - |
| dc.subject | Ecología | - |
| dc.subject | Ciencias Biológicas | - |
| dc.subject | CIENCIAS NATURALES Y EXACTAS | - |
| dc.title | Establishing the link between habitat selection and animal population dynamics | - |
| dc.type | info:eu-repo/semantics/article | - |
| dc.type | info:eu-repo/semantics/publishedVersion | - |
| dc.type | info:ar-repo/semantics/articulo | - |
| Aparece en las colecciones: | CONICET | |
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