A spatial analysis workflow to derive landscape‐scale conservation management information from <scp>GPS</scp> ‐monitored grazing livestock

Abstract The use of domestic livestock in naturalistic grazing is increasingly common in habitat conservation management, restoration and rewilding initiatives. The goal is to enable natural herd behaviours so that livestock support landscape‐scale ecological processes and fulfil ecosystem functions such as increasing connectivity and habitat diversity. However, despite the increasing availability of satellite telemetry equipment to monitor livestock locations, users are often limited in their ability to analyse the resulting data to better understand herd movements and thereby inform management decisions. Here, we provide a spatial analysis workflow for researchers and land managers seeking to use satellite telemetry data (e.g. GPS) to answer the following key questions about the behaviour of their grazing animals: (i) how far do they move, and does this vary with season; and (ii) which habitats do they prefer when grazing, and does either patch size or isolation influence selection? We demonstrate this workflow by presenting a case study using ‘Digitanimal GPS collars’ on a herd of cattle on the Purbeck Heaths National Nature Reserve in Dorset, UK. Our workflow shows how we addressed each of these questions using a combination of movement models, step‐selection functions and resource‐selection functions. For each stage in the workflow, we provide guidance and resources for users to analyse their own data. We illustrate how, in our case study, the analyses showed that cattle range more widely in late summer than in early summer. Further, their habitat preferences shift between the early summer and the drier late summer. Cattle sought out even small patches of suitable habitat but were less likely to use very isolated patches. Practical implications . Our case study demonstrates how spatial data collected with telemetry devices can enable users to gain and share key insights into the landscape‐scale seasonal habitat preferences and movement behaviours of livestock. The suite of analytical approaches presented in our workflow is broadly applicable to any type of GPS‐tracked livestock and offers researchers and land managers a practical tool for understanding herd behaviour and informing conservation grazing management decisions.

Authors

Institutions

Publication Details

Journal
Ecological Solutions and Evidence
Published
2026-06-30
DOI
https://doi.org/10.1002/2688-8319.70275
Primary Topic
Wildlife Ecology and Conservation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A spatial analysis workflow to derive landscape‐scale conservation management information from GPS ‐monitored grazing livestock

Anita Díaz, Tom Major, Antonio Uzal, Ross A. Hill
Ecological Solutions and Evidence
Wildlife Ecology and Conservation
article

A spatial analysis workflow to derive landscape‐scale conservation management information from GPS ‐monitored grazing livestock

Anita Díaz, Tom Major, Antonio Uzal, Ross A. Hill
article en

Abstract

Abstract The use of domestic livestock in naturalistic grazing is increasingly common in habitat conservation management, restoration and rewilding initiatives. The goal is to enable natural herd behaviours so that livestock support landscape‐scale ecological processes and fulfil ecosystem functions such as increasing connectivity and habitat diversity. However, despite the increasing availability of satellite telemetry equipment to monitor livestock locations, users are often limited in their ability to analyse the resulting data to better understand herd movements and thereby inform management decisions. Here, we provide a spatial analysis workflow for researchers and land managers seeking to use satellite telemetry data (e.g. GPS) to answer the following key questions about the behaviour of their grazing animals: (i) how far do they move, and does this vary with season; and (ii) which habitats do they prefer when grazing, and does either patch size or isolation influence selection? We demonstrate this workflow by presenting a case study using ‘Digitanimal GPS collars’ on a herd of cattle on the Purbeck Heaths National Nature Reserve in Dorset, UK. Our workflow shows how we addressed each of these questions using a combination of movement models, step‐selection functions and resource‐selection functions. For each stage in the workflow, we provide guidance and resources for users to analyse their own data. We illustrate how, in our case study, the analyses showed that cattle range more widely in late summer than in early summer. Further, their habitat preferences shift between the early summer and the drier late summer. Cattle sought out even small patches of suitable habitat but were less likely to use very isolated patches. Practical implications . Our case study demonstrates how spatial data collected with telemetry devices can enable users to gain and share key insights into the landscape‐scale seasonal habitat preferences and movement behaviours of livestock. The suite of analytical approaches presented in our workflow is broadly applicable to any type of GPS‐tracked livestock and offers researchers and land managers a practical tool for understanding herd behaviour and informing conservation grazing management decisions.

Ecological Solutions and EvidenceVol. 7(3)
Nottingham Trent University (GB), Bournemouth University (GB)
Life in Land
Openalex Percentile: Top 7%
Wildlife Ecology and Conservation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.