The R package enerscape: A general energy landscape framework for terrestrial movement ecology ...
Ecological processes and biodiversity patterns are strongly affected by how animals move through the landscape. However, it remains challenging to predict animal movement and space use. Here we present our new R package enerscape to quantify and predict animal movement in real landscapes based on en...
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ftdatacite:10.5061/dryad.wwpzgmskm 2024-10-20T14:12:07+00:00 The R package enerscape: A general energy landscape framework for terrestrial movement ecology ... Berti, Emilio Davoli, Marco Buitenwerf, Robert Dyer, Alexander Hansen, Oskar Hirt, Myriam Svenning, Jens-Christian Terlau, Jördis Brose, Ulrich Vollrath, Fritz 2021 https://dx.doi.org/10.5061/dryad.wwpzgmskm https://datadryad.org/stash/dataset/doi:10.5061/dryad.wwpzgmskm en eng Dryad https://dx.doi.org/10.5281/zenodo.5532100 Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode cc0-1.0 energy landscape movement ecology locomotory performance enerscape marsican bear animal movement Dataset dataset 2021 ftdatacite https://doi.org/10.5061/dryad.wwpzgmskm10.5281/zenodo.5532100 2024-10-01T11:12:04Z Ecological processes and biodiversity patterns are strongly affected by how animals move through the landscape. However, it remains challenging to predict animal movement and space use. Here we present our new R package enerscape to quantify and predict animal movement in real landscapes based on energy expenditure. Enerscape integrates a general locomotory model for terrestrial animals with GIS tools in order to map energy costs of movement in a given environment, resulting in energy landscapes that reflect how energy expenditures may shape habitat use. Enerscape only requires topographic data (elevation) and the body mass of the studied animal. To illustrate the potential of enerscape, we analyze the energy landscape for the Marsican bear (Ursus arctos marsicanus) in a protected area in central Italy in order to identify least-cost paths and high-connectivity areas with low energy costs of travel. Enerscape allowed us to identify travel routes for the bear that minimize energy costs of movement and regions ... : This data repository contains only the shapefiles and javascript code that were not publicly available, but needed to reproduce the analysis of the linked article. All other publicly available data sources, which were not included in this data repository, were: Digital elevation model (DEM) for Italy was obtained from TINITALY (http://tinitaly.pi.ingv.it/). Sirente-Velino shapefile from Protected Planet (https://www.protectedplanet.net/en/search-areas?search_term=sirente-velino+regional+park&geo_type=site). DEM and Tree cover density for Denmark was obtained from the Danish National database: https://download.kortforsyningen.dk/content/dhm-2007terr%C3%A6n-10-m-grid and https://download.kortforsyningen.dk/content/treecoverdensity-tcd. NDVI was obtained from Sentinel-2 imagery accessed through Google Eearth Engine: https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S2. L'Eroica shapefile was obtained from the official website of the event: https://eroica.cc/en/gaiole/permanent-route. ... Dataset Ursus arctos DataCite |
institution |
Open Polar |
collection |
DataCite |
op_collection_id |
ftdatacite |
language |
English |
topic |
energy landscape movement ecology locomotory performance enerscape marsican bear animal movement |
spellingShingle |
energy landscape movement ecology locomotory performance enerscape marsican bear animal movement Berti, Emilio Davoli, Marco Buitenwerf, Robert Dyer, Alexander Hansen, Oskar Hirt, Myriam Svenning, Jens-Christian Terlau, Jördis Brose, Ulrich Vollrath, Fritz The R package enerscape: A general energy landscape framework for terrestrial movement ecology ... |
topic_facet |
energy landscape movement ecology locomotory performance enerscape marsican bear animal movement |
description |
Ecological processes and biodiversity patterns are strongly affected by how animals move through the landscape. However, it remains challenging to predict animal movement and space use. Here we present our new R package enerscape to quantify and predict animal movement in real landscapes based on energy expenditure. Enerscape integrates a general locomotory model for terrestrial animals with GIS tools in order to map energy costs of movement in a given environment, resulting in energy landscapes that reflect how energy expenditures may shape habitat use. Enerscape only requires topographic data (elevation) and the body mass of the studied animal. To illustrate the potential of enerscape, we analyze the energy landscape for the Marsican bear (Ursus arctos marsicanus) in a protected area in central Italy in order to identify least-cost paths and high-connectivity areas with low energy costs of travel. Enerscape allowed us to identify travel routes for the bear that minimize energy costs of movement and regions ... : This data repository contains only the shapefiles and javascript code that were not publicly available, but needed to reproduce the analysis of the linked article. All other publicly available data sources, which were not included in this data repository, were: Digital elevation model (DEM) for Italy was obtained from TINITALY (http://tinitaly.pi.ingv.it/). Sirente-Velino shapefile from Protected Planet (https://www.protectedplanet.net/en/search-areas?search_term=sirente-velino+regional+park&geo_type=site). DEM and Tree cover density for Denmark was obtained from the Danish National database: https://download.kortforsyningen.dk/content/dhm-2007terr%C3%A6n-10-m-grid and https://download.kortforsyningen.dk/content/treecoverdensity-tcd. NDVI was obtained from Sentinel-2 imagery accessed through Google Eearth Engine: https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S2. L'Eroica shapefile was obtained from the official website of the event: https://eroica.cc/en/gaiole/permanent-route. ... |
format |
Dataset |
author |
Berti, Emilio Davoli, Marco Buitenwerf, Robert Dyer, Alexander Hansen, Oskar Hirt, Myriam Svenning, Jens-Christian Terlau, Jördis Brose, Ulrich Vollrath, Fritz |
author_facet |
Berti, Emilio Davoli, Marco Buitenwerf, Robert Dyer, Alexander Hansen, Oskar Hirt, Myriam Svenning, Jens-Christian Terlau, Jördis Brose, Ulrich Vollrath, Fritz |
author_sort |
Berti, Emilio |
title |
The R package enerscape: A general energy landscape framework for terrestrial movement ecology ... |
title_short |
The R package enerscape: A general energy landscape framework for terrestrial movement ecology ... |
title_full |
The R package enerscape: A general energy landscape framework for terrestrial movement ecology ... |
title_fullStr |
The R package enerscape: A general energy landscape framework for terrestrial movement ecology ... |
title_full_unstemmed |
The R package enerscape: A general energy landscape framework for terrestrial movement ecology ... |
title_sort |
r package enerscape: a general energy landscape framework for terrestrial movement ecology ... |
publisher |
Dryad |
publishDate |
2021 |
url |
https://dx.doi.org/10.5061/dryad.wwpzgmskm https://datadryad.org/stash/dataset/doi:10.5061/dryad.wwpzgmskm |
genre |
Ursus arctos |
genre_facet |
Ursus arctos |
op_relation |
https://dx.doi.org/10.5281/zenodo.5532100 |
op_rights |
Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode cc0-1.0 |
op_doi |
https://doi.org/10.5061/dryad.wwpzgmskm10.5281/zenodo.5532100 |
_version_ |
1813452938373234688 |