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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ftzenodo:oai:zenodo.org:5532100 2024-09-15T18:40:17+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 2021-10-20 https://doi.org/10.5281/zenodo.5532100 unknown Zenodo https://doi.org/10.5061/dryad.wwpzgmskm https://zenodo.org/communities/dryad https://doi.org/10.5281/zenodo.5532099 https://doi.org/10.5281/zenodo.5532100 oai:zenodo.org:5532100 info:eu-repo/semantics/openAccess MIT License https://opensource.org/licenses/MIT energy landscape movement ecology locomotory performance enerscape marsican bear animal movement info:eu-repo/semantics/other 2021 ftzenodo https://doi.org/10.5281/zenodo.553210010.5061/dryad.wwpzgmskm10.5281/zenodo.5532099 2024-07-26T13:03:30Z 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 ... Other/Unknown Material Ursus arctos Zenodo |
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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 ... |
format |
Other/Unknown Material |
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://doi.org/10.5281/zenodo.5532100 |
genre |
Ursus arctos |
genre_facet |
Ursus arctos |
op_relation |
https://doi.org/10.5061/dryad.wwpzgmskm https://zenodo.org/communities/dryad https://doi.org/10.5281/zenodo.5532099 https://doi.org/10.5281/zenodo.5532100 oai:zenodo.org:5532100 |
op_rights |
info:eu-repo/semantics/openAccess MIT License https://opensource.org/licenses/MIT |
op_doi |
https://doi.org/10.5281/zenodo.553210010.5061/dryad.wwpzgmskm10.5281/zenodo.5532099 |
_version_ |
1810484591665872896 |