Data from: Predicting the continuum between corridors and barriers to animal movements using Step Selection Functions and Randomized Shortest Paths
1. The loss, fragmentation and degradation of habitat everywhere on Earth prompts increasing attention to identifying landscape features that support animal movement (corridors) or impedes it (barriers). Most algorithms used to predict corridors assume that animals move through preferred habitat eit...
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Data Archiving and Networked Services (DANS)
2021
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Online Access: | https://doi.org/10.5061/dryad.4v13r |
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fttriple:oai:gotriple.eu:50|dedup_wf_001::d695402c84aa09aed8b7831df168f5d3 2023-05-15T18:04:26+02:00 Data from: Predicting the continuum between corridors and barriers to animal movements using Step Selection Functions and Randomized Shortest Paths Panzacchi, Manuela Van Moorter, Bram Strand, Olav Saerens, Marco Kivimäki, Ilkka St. Clair, Colleen Cassady Herfindal, Ivar Boitani, Luigi St. Clair, Colleen C. 2021-07-18 https://doi.org/10.5061/dryad.4v13r undefined unknown Data Archiving and Networked Services (DANS) http://dx.doi.org/10.5061/dryad.4v13r https://dx.doi.org/10.5061/dryad.4v13r lic_creative-commons oai:easy.dans.knaw.nl:easy-dataset:88314 10.5061/dryad.4v13r oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:88314 10|re3data_____::84e123776089ce3c7a33db98d9cd15a8 10|openaire____::9e3be59865b2c1c335d32dae2fe7b254 10|re3data_____::94816e6421eeb072e7742ce6a9decc5f 10|eurocrisdris::fe4903425d9040f680d8610d9079ea14 re3data_____::r3d100000044 10|openaire____::081b82f96300b6a6e3d282bad31cb6e2 10|opendoar____::8b6dd7db9af49e67306feb59a8bdc52c Life sciences medicine and health care Space use animal movement corridors graph-theory obstacles permeability Bottlenecks Randomized Shortest Path Rangifer tarandus tarandus connectivity green infrastructures Gene-flow step selection function 2001-2012 tactical and strategic movements Norway envir geo Dataset https://vocabularies.coar-repositories.org/resource_types/c_ddb1/ 2021 fttriple https://doi.org/10.5061/dryad.4v13r 2023-01-22T16:52:46Z 1. The loss, fragmentation and degradation of habitat everywhere on Earth prompts increasing attention to identifying landscape features that support animal movement (corridors) or impedes it (barriers). Most algorithms used to predict corridors assume that animals move through preferred habitat either optimally (e.g. least cost path) or as random walkers (e.g. current models), but neither extreme is realistic. 2. We propose that corridors and barriers are two sides of the same coin and that animals experience landscapes as spatiotemporally dynamic corridor-barrier continua connecting (separating) functional areas where individuals fulfil specific ecological processes. Based on this conceptual framework, we propose a novel methodological approach that uses high-resolution individual-based movement data to predict corridor-barrier continua with increased realism. 3. Our approach consists of two innovations. First, we use step selection functions (SSF) to predict friction maps quantifying corridor-barrier continua for tactical steps between consecutive locations. Secondly, we introduce to movement ecology the randomized shortest path algorithm (RSP) which operates on friction maps to predict the corridor-barrier continuum for strategic movements between functional areas. By modulating the parameter Ѳ, which controls the trade-off between exploration and optimal exploitation of the environment, RSP bridges the gap between algorithms assuming optimal movements (when Ѳ approaches infinity, RSP is equivalent to LCP) or random walk (when Ѳ → 0, RSP → current models). 4. Using this approach, we identify migration corridors for GPS-monitored wild reindeer (Rangifer t. tarandus) in Norway. We demonstrate that reindeer movement is best predicted by an intermediate value of Ѳ, indicative of a movement trade-off between optimization and exploration. Model calibration allows identification of a corridor-barrier continuum that closely fits empirical data and demonstrates that RSP outperforms models that assume either ... Dataset Rangifer tarandus Unknown Norway The Corridor ENVELOPE(78.139,78.139,-68.582,-68.582) |
institution |
Open Polar |
collection |
Unknown |
op_collection_id |
fttriple |
language |
unknown |
topic |
Life sciences medicine and health care Space use animal movement corridors graph-theory obstacles permeability Bottlenecks Randomized Shortest Path Rangifer tarandus tarandus connectivity green infrastructures Gene-flow step selection function 2001-2012 tactical and strategic movements Norway envir geo |
spellingShingle |
Life sciences medicine and health care Space use animal movement corridors graph-theory obstacles permeability Bottlenecks Randomized Shortest Path Rangifer tarandus tarandus connectivity green infrastructures Gene-flow step selection function 2001-2012 tactical and strategic movements Norway envir geo Panzacchi, Manuela Van Moorter, Bram Strand, Olav Saerens, Marco Kivimäki, Ilkka St. Clair, Colleen Cassady Herfindal, Ivar Boitani, Luigi St. Clair, Colleen C. Data from: Predicting the continuum between corridors and barriers to animal movements using Step Selection Functions and Randomized Shortest Paths |
topic_facet |
Life sciences medicine and health care Space use animal movement corridors graph-theory obstacles permeability Bottlenecks Randomized Shortest Path Rangifer tarandus tarandus connectivity green infrastructures Gene-flow step selection function 2001-2012 tactical and strategic movements Norway envir geo |
description |
1. The loss, fragmentation and degradation of habitat everywhere on Earth prompts increasing attention to identifying landscape features that support animal movement (corridors) or impedes it (barriers). Most algorithms used to predict corridors assume that animals move through preferred habitat either optimally (e.g. least cost path) or as random walkers (e.g. current models), but neither extreme is realistic. 2. We propose that corridors and barriers are two sides of the same coin and that animals experience landscapes as spatiotemporally dynamic corridor-barrier continua connecting (separating) functional areas where individuals fulfil specific ecological processes. Based on this conceptual framework, we propose a novel methodological approach that uses high-resolution individual-based movement data to predict corridor-barrier continua with increased realism. 3. Our approach consists of two innovations. First, we use step selection functions (SSF) to predict friction maps quantifying corridor-barrier continua for tactical steps between consecutive locations. Secondly, we introduce to movement ecology the randomized shortest path algorithm (RSP) which operates on friction maps to predict the corridor-barrier continuum for strategic movements between functional areas. By modulating the parameter Ѳ, which controls the trade-off between exploration and optimal exploitation of the environment, RSP bridges the gap between algorithms assuming optimal movements (when Ѳ approaches infinity, RSP is equivalent to LCP) or random walk (when Ѳ → 0, RSP → current models). 4. Using this approach, we identify migration corridors for GPS-monitored wild reindeer (Rangifer t. tarandus) in Norway. We demonstrate that reindeer movement is best predicted by an intermediate value of Ѳ, indicative of a movement trade-off between optimization and exploration. Model calibration allows identification of a corridor-barrier continuum that closely fits empirical data and demonstrates that RSP outperforms models that assume either ... |
format |
Dataset |
author |
Panzacchi, Manuela Van Moorter, Bram Strand, Olav Saerens, Marco Kivimäki, Ilkka St. Clair, Colleen Cassady Herfindal, Ivar Boitani, Luigi St. Clair, Colleen C. |
author_facet |
Panzacchi, Manuela Van Moorter, Bram Strand, Olav Saerens, Marco Kivimäki, Ilkka St. Clair, Colleen Cassady Herfindal, Ivar Boitani, Luigi St. Clair, Colleen C. |
author_sort |
Panzacchi, Manuela |
title |
Data from: Predicting the continuum between corridors and barriers to animal movements using Step Selection Functions and Randomized Shortest Paths |
title_short |
Data from: Predicting the continuum between corridors and barriers to animal movements using Step Selection Functions and Randomized Shortest Paths |
title_full |
Data from: Predicting the continuum between corridors and barriers to animal movements using Step Selection Functions and Randomized Shortest Paths |
title_fullStr |
Data from: Predicting the continuum between corridors and barriers to animal movements using Step Selection Functions and Randomized Shortest Paths |
title_full_unstemmed |
Data from: Predicting the continuum between corridors and barriers to animal movements using Step Selection Functions and Randomized Shortest Paths |
title_sort |
data from: predicting the continuum between corridors and barriers to animal movements using step selection functions and randomized shortest paths |
publisher |
Data Archiving and Networked Services (DANS) |
publishDate |
2021 |
url |
https://doi.org/10.5061/dryad.4v13r |
long_lat |
ENVELOPE(78.139,78.139,-68.582,-68.582) |
geographic |
Norway The Corridor |
geographic_facet |
Norway The Corridor |
genre |
Rangifer tarandus |
genre_facet |
Rangifer tarandus |
op_source |
oai:easy.dans.knaw.nl:easy-dataset:88314 10.5061/dryad.4v13r oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:88314 10|re3data_____::84e123776089ce3c7a33db98d9cd15a8 10|openaire____::9e3be59865b2c1c335d32dae2fe7b254 10|re3data_____::94816e6421eeb072e7742ce6a9decc5f 10|eurocrisdris::fe4903425d9040f680d8610d9079ea14 re3data_____::r3d100000044 10|openaire____::081b82f96300b6a6e3d282bad31cb6e2 10|opendoar____::8b6dd7db9af49e67306feb59a8bdc52c |
op_relation |
http://dx.doi.org/10.5061/dryad.4v13r https://dx.doi.org/10.5061/dryad.4v13r |
op_rights |
lic_creative-commons |
op_doi |
https://doi.org/10.5061/dryad.4v13r |
_version_ |
1766175816434057216 |