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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Main Authors: Berti, Emilio, Davoli, Marco, Buitenwerf, Robert, Dyer, Alexander, Hansen, Oskar, Hirt, Myriam, Svenning, Jens-Christian, Terlau, Jördis, Brose, Ulrich, Vollrath, Fritz
Format: Article in Journal/Newspaper
Language:unknown
Published: Zenodo 2021
Subjects:
Online Access:https://dx.doi.org/10.5281/zenodo.5532099
https://zenodo.org/record/5532099
id ftdatacite:10.5281/zenodo.5532099
record_format openpolar
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
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 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
long_lat ENVELOPE(-22.433,-22.433,72.533,72.533)
geographic Mols Bjerge
geographic_facet Mols Bjerge
genre Ursus arctos
genre_facet Ursus arctos
op_relation https://zenodo.org/communities/dryad
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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
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spelling 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)