Dissecting geographic variation in population synchrony using the common vole in central Europe as a test bed

Theoretical models for population spatial synchrony suggest that correlated environmental stochasticity, dispersal, and trophic interactions are important promoters of synchrony in nature to leave characteristic signatures of distance-dependent decays in synchrony. Distance-decay curves may steepen...

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Published in:Ecology and Evolution
Main Authors: Gouveia, A. R., Bjornstad, O. N., Tkadlec, E. (Emil)
Format: Article in Journal/Newspaper
Language:English
Published: 2016
Subjects:
Online Access:https://doi.org/10.1002/ece3.1863
http://hdl.handle.net/11104/0257572
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spelling ftczacademyscien:oai:asep.lib.cas.cz:CavUnEpca/0457161 2023-12-24T10:16:01+01:00 Dissecting geographic variation in population synchrony using the common vole in central Europe as a test bed Gouveia, A. R. Bjornstad, O. N. Tkadlec, E. (Emil) 2016 https://doi.org/10.1002/ece3.1863 http://hdl.handle.net/11104/0257572 eng eng info:eu-repo/semantics/altIdentifier/pmid/26811786 doi:10.1002/ece3.1863 urn:pissn: 2045-7758 urn:eissn: 2045-7758 http://hdl.handle.net/11104/0257572 info:eu-repo/semantics/openAccess Altitudinal gradient LISA Microtus arvalis partial nonparametric correlation function spatiotemporal dynamics info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 2016 ftczacademyscien https://doi.org/10.1002/ece3.1863 2023-11-28T17:20:02Z Theoretical models for population spatial synchrony suggest that correlated environmental stochasticity, dispersal, and trophic interactions are important promoters of synchrony in nature to leave characteristic signatures of distance-dependent decays in synchrony. Distance-decay curves may steepen if local dynamics are governed by different density-dependent feedbacks and how synchrony should vary regionally if the importance and correlation of environmental stochasticity is location-specific. We analysed spatiotemporal data for the common vole, Microtus arvalis from 49 districts in the Czech Republic to examine the pattern of population synchrony between 2000 and 2014. By extending the nonparametric covariation function, we develop a quantitative method that allows a dissection of the effects of distance and additional variables such as altitude on synchrony. To examine the pattern of local synchrony, we apply the noncentered local-indicators of spatial association (ncLISA) which highlights areas with different degrees of synchrony than expected by the region-wide average. Additionally, in order to understand the obtained pattern of local spatial correlations, we have regressed LISA results against the proportion of forest in each district. The common vole abundances fluctuated strongly and exhibited synchronous dynamics with the typical tendency for a decline of synchrony with increasing distance but, not with altitude. The correlation between the neighbor districts decreases as the proportion of forest increases. Forested areas are suboptimum habitats and are strongly avoided by common voles. The investigation of spatiotemporal dynamics in animal populations is a key issue in ecology. Although the majority of studies are focused on testing hypotheses about which mechanisms are involved in shaping this dynamics it is crucial to understand the sources of variation involved in order to understand the underlying processes. Article in Journal/Newspaper Common vole Microtus arvalis The Czech Academy of Sciences: Publication Activity (ASEP) Ecology and Evolution 6 1 212 218
institution Open Polar
collection The Czech Academy of Sciences: Publication Activity (ASEP)
op_collection_id ftczacademyscien
language English
topic Altitudinal gradient
LISA
Microtus arvalis
partial nonparametric correlation function
spatiotemporal dynamics
spellingShingle Altitudinal gradient
LISA
Microtus arvalis
partial nonparametric correlation function
spatiotemporal dynamics
Gouveia, A. R.
Bjornstad, O. N.
Tkadlec, E. (Emil)
Dissecting geographic variation in population synchrony using the common vole in central Europe as a test bed
topic_facet Altitudinal gradient
LISA
Microtus arvalis
partial nonparametric correlation function
spatiotemporal dynamics
description Theoretical models for population spatial synchrony suggest that correlated environmental stochasticity, dispersal, and trophic interactions are important promoters of synchrony in nature to leave characteristic signatures of distance-dependent decays in synchrony. Distance-decay curves may steepen if local dynamics are governed by different density-dependent feedbacks and how synchrony should vary regionally if the importance and correlation of environmental stochasticity is location-specific. We analysed spatiotemporal data for the common vole, Microtus arvalis from 49 districts in the Czech Republic to examine the pattern of population synchrony between 2000 and 2014. By extending the nonparametric covariation function, we develop a quantitative method that allows a dissection of the effects of distance and additional variables such as altitude on synchrony. To examine the pattern of local synchrony, we apply the noncentered local-indicators of spatial association (ncLISA) which highlights areas with different degrees of synchrony than expected by the region-wide average. Additionally, in order to understand the obtained pattern of local spatial correlations, we have regressed LISA results against the proportion of forest in each district. The common vole abundances fluctuated strongly and exhibited synchronous dynamics with the typical tendency for a decline of synchrony with increasing distance but, not with altitude. The correlation between the neighbor districts decreases as the proportion of forest increases. Forested areas are suboptimum habitats and are strongly avoided by common voles. The investigation of spatiotemporal dynamics in animal populations is a key issue in ecology. Although the majority of studies are focused on testing hypotheses about which mechanisms are involved in shaping this dynamics it is crucial to understand the sources of variation involved in order to understand the underlying processes.
format Article in Journal/Newspaper
author Gouveia, A. R.
Bjornstad, O. N.
Tkadlec, E. (Emil)
author_facet Gouveia, A. R.
Bjornstad, O. N.
Tkadlec, E. (Emil)
author_sort Gouveia, A. R.
title Dissecting geographic variation in population synchrony using the common vole in central Europe as a test bed
title_short Dissecting geographic variation in population synchrony using the common vole in central Europe as a test bed
title_full Dissecting geographic variation in population synchrony using the common vole in central Europe as a test bed
title_fullStr Dissecting geographic variation in population synchrony using the common vole in central Europe as a test bed
title_full_unstemmed Dissecting geographic variation in population synchrony using the common vole in central Europe as a test bed
title_sort dissecting geographic variation in population synchrony using the common vole in central europe as a test bed
publishDate 2016
url https://doi.org/10.1002/ece3.1863
http://hdl.handle.net/11104/0257572
genre Common vole
Microtus arvalis
genre_facet Common vole
Microtus arvalis
op_relation info:eu-repo/semantics/altIdentifier/pmid/26811786
doi:10.1002/ece3.1863
urn:pissn: 2045-7758
urn:eissn: 2045-7758
http://hdl.handle.net/11104/0257572
op_rights info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.1002/ece3.1863
container_title Ecology and Evolution
container_volume 6
container_issue 1
container_start_page 212
op_container_end_page 218
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