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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ftzenodo:oai:zenodo.org:4970435 2023-06-06T11:58:47+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 2015-05-08 https://zenodo.org/record/4970435 https://doi.org/10.5061/dryad.4v13r unknown doi:10.1111/1365-2656.12386 https://zenodo.org/communities/dryad https://zenodo.org/record/4970435 https://doi.org/10.5061/dryad.4v13r oai:zenodo.org:4970435 info:eu-repo/semantics/openAccess https://creativecommons.org/publicdomain/zero/1.0/legalcode Space use graph-theory obstacles permeability Bottlenecks Randomized Shortest Path Rangifer tarandus tarandus green infrastructures Gene-flow step selection function 2001-2012 tactical and strategic movements info:eu-repo/semantics/other dataset 2015 ftzenodo https://doi.org/10.5061/dryad.4v13r10.1111/1365-2656.12386 2023-04-13T22:30:07Z 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 Zenodo Norway The Corridor ENVELOPE(78.139,78.139,-68.582,-68.582) |
institution |
Open Polar |
collection |
Zenodo |
op_collection_id |
ftzenodo |
language |
unknown |
topic |
Space use graph-theory obstacles permeability Bottlenecks Randomized Shortest Path Rangifer tarandus tarandus green infrastructures Gene-flow step selection function 2001-2012 tactical and strategic movements |
spellingShingle |
Space use graph-theory obstacles permeability Bottlenecks Randomized Shortest Path Rangifer tarandus tarandus green infrastructures Gene-flow step selection function 2001-2012 tactical and strategic movements Panzacchi, Manuela Van Moorter, Bram Strand, Olav Saerens, Marco Kivimäki, Ilkka St. Clair, Colleen Cassady Herfindal, Ivar Boitani, Luigi Data from: Predicting the continuum between corridors and barriers to animal movements using Step Selection Functions and Randomized Shortest Paths |
topic_facet |
Space use graph-theory obstacles permeability Bottlenecks Randomized Shortest Path Rangifer tarandus tarandus green infrastructures Gene-flow step selection function 2001-2012 tactical and strategic movements |
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 |
author_facet |
Panzacchi, Manuela Van Moorter, Bram Strand, Olav Saerens, Marco Kivimäki, Ilkka St. Clair, Colleen Cassady Herfindal, Ivar Boitani, Luigi |
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 |
publishDate |
2015 |
url |
https://zenodo.org/record/4970435 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_relation |
doi:10.1111/1365-2656.12386 https://zenodo.org/communities/dryad https://zenodo.org/record/4970435 https://doi.org/10.5061/dryad.4v13r oai:zenodo.org:4970435 |
op_rights |
info:eu-repo/semantics/openAccess https://creativecommons.org/publicdomain/zero/1.0/legalcode |
op_doi |
https://doi.org/10.5061/dryad.4v13r10.1111/1365-2656.12386 |
_version_ |
1767947710594285568 |