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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2021
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Online Access: | https://dx.doi.org/10.5281/zenodo.5532099 https://zenodo.org/record/5532099 |
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DataCite Metadata Store (German National Library of Science and Technology) |
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energy landscape movement ecology locomotory performance enerscape marsican bear animal movement |
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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 that have high landscape connectivity based on movement efficiency, highlighting potential corridors. It also identifies areas where high energy costs may prevent movement and dispersal, potentially exacerbating human-wildlife conflicts in the park. A major strength of enerscape is that it requires only widely available topographic and body size data. As such, enerscape permits a first cost-effective way to estimate landscape use and movement corridors even when telemetry data is not readily available, such as for the example with the bear. Enerscape is built in a modular way and other movement modes and ecosystem types can be implemented when appropriate locomotory models are available. In summary, enerscape is a new general tool that quantifies, using minimal and widely available data, the energy costs of moving through a landscape. This can clarify how and why animals move in real landscapes and inform practical conservation and restoration decisions. : This readme.txt file was generated on 2021-10-20 by Emilio Berti GENERAL INFORMATION 1. Title of Dataset: The R package enerscape: A general energy landscape framework for terrestrial movement ecology 2. Author Information A. Corresponding author Name: Emilio Berti Institution: German Center for Integrative Biodiversity Research (iDiv) Address: Puschstrasse 4, Leipzig, Germany Email: emilio.berti@idiv.de 3. Date of data collection: 2016-2017 4. Geographic location of data collection: A. Rewilding site in Mols-Bjerge, Denmark SHARING/ACCESS INFORMATION 1. Licenses/restrictions placed on the data: CC0 "No Rights Reserved" 2. Links to publications that cite or use the data: A. "The r package enerscape: A general energy landscape framework for terrestrial movement ecology. Berti et al. (2021). Methods in Ecology and Evolution (in press)" DATA & FILE OVERVIEW 1. Directory tree: . ├── enerscape_0.1.3.tar.gz ├── mols-bjerge │ ├── Mols.dbf │ ├── Mols.prj │ ├── Mols.shp │ └── Mols.shx ├── monthly-ndvi.js └── readme.txt 1 directory, 7 files 1.1 enerscape_0.1.3.tar.gz is the last version of the R package ENERSCAPE 1.2 mols-bjerge contains the shapefiels (Mols.*) of the rewilding site in Mols-Bjerge 1.3 monthly-ndvi.js is the javascript code to get NDVI from Sentinel-2 imagery using Google Earth Engine. . Additional related data collected that was not included in the current data package: 4. Are there multiple versions of the dataset? no METHODOLOGICAL INFORMATION 1. Description of methods used for collection/generation of data: Shapefiles for the Mols Bjerge rewilding site were obtained from GPS localization of electric fences where all studied animals lived. 2. Methods for processing the data: Shapefile data was not processed. DATA-SPECIFIC INFORMATION FOR: enerscape_0.1.3.tar.gz This is the current version of the enerscape package in CRAN. A version in active development can be found at: https://github.com/emilio-berti/enerscape Funding provided by: Deutsche Forschungsgemeinschaft Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100001659 Award Number: FZT 118Funding provided by: Deutsche Forschungsgemeinschaft Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100001659 Award Number: BR 2315/21-1Funding provided by: Villum Fonden Crossref Funder Registry ID: http://dx.doi.org/10.13039/100008398 Award Number: 16549Funding provided by: Research Fund Denmark: Natural Sciences project MegaComplexity* Crossref Funder Registry ID: Award Number: 0135-00225B : 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. GPS records of horses and cattle are under embargo for one year. For more information contact emilio.berti@idiv.de. |
format |
Article in Journal/Newspaper |
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 |
Zenodo |
publishDate |
2021 |
url |
https://dx.doi.org/10.5281/zenodo.5532099 https://zenodo.org/record/5532099 |
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ENVELOPE(-22.433,-22.433,72.533,72.533) |
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Mols Bjerge |
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Mols Bjerge |
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Ursus arctos |
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Ursus arctos |
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https://zenodo.org/communities/dryad https://dx.doi.org/10.5061/dryad.wwpzgmskm https://dx.doi.org/10.5281/zenodo.5532100 https://zenodo.org/communities/dryad |
op_rights |
Open Access MIT License https://opensource.org/licenses/MIT mit info:eu-repo/semantics/openAccess |
op_rightsnorm |
MIT |
op_doi |
https://doi.org/10.5281/zenodo.5532099 https://doi.org/10.5061/dryad.wwpzgmskm https://doi.org/10.5281/zenodo.5532100 |
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ftdatacite:10.5281/zenodo.5532099 2023-05-15T18:42:20+02:00 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/10.5281/zenodo.5532099 https://zenodo.org/record/5532099 unknown Zenodo https://zenodo.org/communities/dryad https://dx.doi.org/10.5061/dryad.wwpzgmskm https://dx.doi.org/10.5281/zenodo.5532100 https://zenodo.org/communities/dryad Open Access MIT License https://opensource.org/licenses/MIT mit info:eu-repo/semantics/openAccess MIT energy landscape movement ecology locomotory performance enerscape marsican bear animal movement Software SoftwareSourceCode article 2021 ftdatacite https://doi.org/10.5281/zenodo.5532099 https://doi.org/10.5061/dryad.wwpzgmskm https://doi.org/10.5281/zenodo.5532100 2021-11-05T12:55:41Z 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 that have high landscape connectivity based on movement efficiency, highlighting potential corridors. It also identifies areas where high energy costs may prevent movement and dispersal, potentially exacerbating human-wildlife conflicts in the park. A major strength of enerscape is that it requires only widely available topographic and body size data. As such, enerscape permits a first cost-effective way to estimate landscape use and movement corridors even when telemetry data is not readily available, such as for the example with the bear. Enerscape is built in a modular way and other movement modes and ecosystem types can be implemented when appropriate locomotory models are available. In summary, enerscape is a new general tool that quantifies, using minimal and widely available data, the energy costs of moving through a landscape. This can clarify how and why animals move in real landscapes and inform practical conservation and restoration decisions. : This readme.txt file was generated on 2021-10-20 by Emilio Berti GENERAL INFORMATION 1. Title of Dataset: The R package enerscape: A general energy landscape framework for terrestrial movement ecology 2. Author Information A. Corresponding author Name: Emilio Berti Institution: German Center for Integrative Biodiversity Research (iDiv) Address: Puschstrasse 4, Leipzig, Germany Email: emilio.berti@idiv.de 3. Date of data collection: 2016-2017 4. Geographic location of data collection: A. Rewilding site in Mols-Bjerge, Denmark SHARING/ACCESS INFORMATION 1. Licenses/restrictions placed on the data: CC0 "No Rights Reserved" 2. Links to publications that cite or use the data: A. "The r package enerscape: A general energy landscape framework for terrestrial movement ecology. Berti et al. (2021). Methods in Ecology and Evolution (in press)" DATA & FILE OVERVIEW 1. Directory tree: . ├── enerscape_0.1.3.tar.gz ├── mols-bjerge │ ├── Mols.dbf │ ├── Mols.prj │ ├── Mols.shp │ └── Mols.shx ├── monthly-ndvi.js └── readme.txt 1 directory, 7 files 1.1 enerscape_0.1.3.tar.gz is the last version of the R package ENERSCAPE 1.2 mols-bjerge contains the shapefiels (Mols.*) of the rewilding site in Mols-Bjerge 1.3 monthly-ndvi.js is the javascript code to get NDVI from Sentinel-2 imagery using Google Earth Engine. . Additional related data collected that was not included in the current data package: 4. Are there multiple versions of the dataset? no METHODOLOGICAL INFORMATION 1. Description of methods used for collection/generation of data: Shapefiles for the Mols Bjerge rewilding site were obtained from GPS localization of electric fences where all studied animals lived. 2. Methods for processing the data: Shapefile data was not processed. DATA-SPECIFIC INFORMATION FOR: enerscape_0.1.3.tar.gz This is the current version of the enerscape package in CRAN. A version in active development can be found at: https://github.com/emilio-berti/enerscape Funding provided by: Deutsche Forschungsgemeinschaft Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100001659 Award Number: FZT 118Funding provided by: Deutsche Forschungsgemeinschaft Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100001659 Award Number: BR 2315/21-1Funding provided by: Villum Fonden Crossref Funder Registry ID: http://dx.doi.org/10.13039/100008398 Award Number: 16549Funding provided by: Research Fund Denmark: Natural Sciences project MegaComplexity* Crossref Funder Registry ID: Award Number: 0135-00225B : 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. GPS records of horses and cattle are under embargo for one year. For more information contact emilio.berti@idiv.de. Article in Journal/Newspaper Ursus arctos DataCite Metadata Store (German National Library of Science and Technology) Mols Bjerge ENVELOPE(-22.433,-22.433,72.533,72.533) |