Data from: Temporally dynamic habitat suitability predicts genetic relatedness among caribou

Landscape heterogeneity plays a central role in shaping ecological and evolutionary processes. While species utilization of the landscape is usually viewed as constant within a year, the spatial distribution of individuals is likely to vary in time in relation to particular seasonal needs. Understan...

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Main Authors: Yannic, Glenn, Pellissier, Loïc, Le Corre, Maël, Dussault, Christian, Bernatchez, Louis, Côté, Steeve D., Pellissier, L., Cote, S. D., Le Corre, M., Yannic, G.
Format: Dataset
Language:unknown
Published: Dryad 2020
Subjects:
Online Access:https://doi.org/10.5061/dryad.qn1cj
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author Yannic, Glenn
Pellissier, Loïc
Le Corre, Maël
Dussault, Christian
Bernatchez, Louis
Côté, Steeve D.
Pellissier, L.
Cote, S. D.
Le Corre, M.
Yannic, G.
author_facet Yannic, Glenn
Pellissier, Loïc
Le Corre, Maël
Dussault, Christian
Bernatchez, Louis
Côté, Steeve D.
Pellissier, L.
Cote, S. D.
Le Corre, M.
Yannic, G.
author_sort Yannic, Glenn
collection Unknown
description Landscape heterogeneity plays a central role in shaping ecological and evolutionary processes. While species utilization of the landscape is usually viewed as constant within a year, the spatial distribution of individuals is likely to vary in time in relation to particular seasonal needs. Understanding temporal variation in landscape use and genetic connectivity has direct conservation implications. Here, we modelled the daily use of the landscape by caribou in Quebec and Labrador, Canada and tested its ability to explain the genetic relatedness among individuals. We assessed habitat selection using locations of collared individuals in migratory herds and static occurrences from sedentary groups. Connectivity models based on habitat use outperformed a baseline isolation-by-distance model in explaining genetic relatedness, suggesting that variations in landscape features such as snow, vegetation productivity and land use modulate connectivity among populations. Connectivity surfaces derived from habitat use were the best predictors of genetic relatedness. The relationship between connectivity surface and genetic relatedness varied in time and peaked during the rutting period. Landscape permeability in the period of mate searching is especially important to allow gene flow among populations. Our study highlights the importance of considering temporal variations in habitat selection for optimizing connectivity across heterogeneous landscape and counter habitat fragmentation. Yannic_data_DRYAD_RSPB-2014-0502Introductory information: Caribou (Rangifer tarandus) capture and genotype data. Please contact either Glenn Yannic (glenn-dot-yannic-at-gmail-dot-com) or Steeve D. Côté (Steeve-dot-Cote-at-bio-dot-ulaval-dot-ca) with any questions of location and genotype data. Identification – lab ID (ID number used in lab), capture ID (ID number used in field), sex (male or female). Capture Location - latitude (Y) and longitude (X) coordinates (datum = WGS84) of capture. Loci - names of microsatellite loci analyzed - 16 in ...
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genre Rangifer tarandus
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geographic Canada
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spelling fttriple:oai:gotriple.eu:50|dedup_wf_001::7a0d840bd3b147cfe8c9bafb9c929732 2025-01-17T00:25:57+00:00 Data from: Temporally dynamic habitat suitability predicts genetic relatedness among caribou Yannic, Glenn Pellissier, Loïc Le Corre, Maël Dussault, Christian Bernatchez, Louis Côté, Steeve D. Pellissier, L. Cote, S. D. Le Corre, M. Yannic, G. 2020-06-29 https://doi.org/10.5061/dryad.qn1cj undefined unknown Dryad https://dx.doi.org/10.5061/dryad.qn1cj http://dx.doi.org/10.5061/dryad.qn1cj lic_creative-commons 10.5061/dryad.qn1cj oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:86362 oai:easy.dans.knaw.nl:easy-dataset:86362 10|openaire____::9e3be59865b2c1c335d32dae2fe7b254 re3data_____::r3d100000044 10|eurocrisdris::fe4903425d9040f680d8610d9079ea14 10|re3data_____::84e123776089ce3c7a33db98d9cd15a8 10|re3data_____::94816e6421eeb072e7742ce6a9decc5f 10|openaire____::081b82f96300b6a6e3d282bad31cb6e2 10|opendoar____::8b6dd7db9af49e67306feb59a8bdc52c circuit theory Rangifer tarandus causal modelling habitat suitability models Landscape Genetics least-cost path Caribou Holocene Quebec and Labrador Canada Life sciences medicine and health care envir geo Dataset https://vocabularies.coar-repositories.org/resource_types/c_ddb1/ 2020 fttriple https://doi.org/10.5061/dryad.qn1cj 2023-01-22T17:23:13Z Landscape heterogeneity plays a central role in shaping ecological and evolutionary processes. While species utilization of the landscape is usually viewed as constant within a year, the spatial distribution of individuals is likely to vary in time in relation to particular seasonal needs. Understanding temporal variation in landscape use and genetic connectivity has direct conservation implications. Here, we modelled the daily use of the landscape by caribou in Quebec and Labrador, Canada and tested its ability to explain the genetic relatedness among individuals. We assessed habitat selection using locations of collared individuals in migratory herds and static occurrences from sedentary groups. Connectivity models based on habitat use outperformed a baseline isolation-by-distance model in explaining genetic relatedness, suggesting that variations in landscape features such as snow, vegetation productivity and land use modulate connectivity among populations. Connectivity surfaces derived from habitat use were the best predictors of genetic relatedness. The relationship between connectivity surface and genetic relatedness varied in time and peaked during the rutting period. Landscape permeability in the period of mate searching is especially important to allow gene flow among populations. Our study highlights the importance of considering temporal variations in habitat selection for optimizing connectivity across heterogeneous landscape and counter habitat fragmentation. Yannic_data_DRYAD_RSPB-2014-0502Introductory information: Caribou (Rangifer tarandus) capture and genotype data. Please contact either Glenn Yannic (glenn-dot-yannic-at-gmail-dot-com) or Steeve D. Côté (Steeve-dot-Cote-at-bio-dot-ulaval-dot-ca) with any questions of location and genotype data. Identification – lab ID (ID number used in lab), capture ID (ID number used in field), sex (male or female). Capture Location - latitude (Y) and longitude (X) coordinates (datum = WGS84) of capture. Loci - names of microsatellite loci analyzed - 16 in ... Dataset Rangifer tarandus Unknown Canada
spellingShingle circuit theory
Rangifer tarandus
causal modelling
habitat suitability models
Landscape Genetics
least-cost path
Caribou
Holocene
Quebec and Labrador
Canada
Life sciences
medicine and health care
envir
geo
Yannic, Glenn
Pellissier, Loïc
Le Corre, Maël
Dussault, Christian
Bernatchez, Louis
Côté, Steeve D.
Pellissier, L.
Cote, S. D.
Le Corre, M.
Yannic, G.
Data from: Temporally dynamic habitat suitability predicts genetic relatedness among caribou
title Data from: Temporally dynamic habitat suitability predicts genetic relatedness among caribou
title_full Data from: Temporally dynamic habitat suitability predicts genetic relatedness among caribou
title_fullStr Data from: Temporally dynamic habitat suitability predicts genetic relatedness among caribou
title_full_unstemmed Data from: Temporally dynamic habitat suitability predicts genetic relatedness among caribou
title_short Data from: Temporally dynamic habitat suitability predicts genetic relatedness among caribou
title_sort data from: temporally dynamic habitat suitability predicts genetic relatedness among caribou
topic circuit theory
Rangifer tarandus
causal modelling
habitat suitability models
Landscape Genetics
least-cost path
Caribou
Holocene
Quebec and Labrador
Canada
Life sciences
medicine and health care
envir
geo
topic_facet circuit theory
Rangifer tarandus
causal modelling
habitat suitability models
Landscape Genetics
least-cost path
Caribou
Holocene
Quebec and Labrador
Canada
Life sciences
medicine and health care
envir
geo
url https://doi.org/10.5061/dryad.qn1cj