DOI: 10.5061/dryad.wwpzgmskm
title: The R package enerscape: A general energy landscape framework for terrestrial movement ecology

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.
description: 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.
description: 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<br>     A. Corresponding author<br>         Name:
 Emilio Berti<br>         Institution: German Center for Integrative
 Biodiversity Research (iDiv)<br>         Address: Puschstrasse 4,
 Leipzig, Germany<br>         Email: emilio.berti@idiv.de
 3. Date of data collection: 2016-2017 4.
 Geographic location of data collection:<br>     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: <br>     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: <br> .<br> ├──
 enerscape_0.1.3.tar.gz<br> ├── mols-bjerge<br> │   ├──
 Mols.dbf<br> │   ├── Mols.prj<br> │   ├── Mols.shp<br>
 │   └── Mols.shx<br> ├── monthly-ndvi.js<br> └──
 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<br>   
  <br> METHODOLOGICAL INFORMATION 1. Description
 of methods used for collection/generation of data: <br> 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: <br> Shapefile data was not
 processed. DATA-SPECIFIC INFORMATION FOR:
 enerscape_0.1.3.tar.gz<br> 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<br>