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Buchan, Claire 
ORCID: https://orcid.org/0000-0001-6530-9971, Gilroy, James J. ORCID: https://orcid.org/0000-0002-7597-5780, Catry, Inês, Hewson, Chris M., Atkinson, Philip W. and Franco, Aldina M. A. ORCID: https://orcid.org/0000-0001-6055-7378
(2023)
Combining remote sensing and tracking data to quantify species' cumulative exposure to anthropogenic change.
Global Change Biology, 29 (23).
pp. 6679-6692.
ISSN 1354-1013
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Abstract
Identifying when and where organisms are exposed to anthropogenic change is crucial for diagnosing the drivers of biodiversity declines and implementing effective conservation measures. Accurately measuring individual-scale exposure to anthropogenic impacts across the annual cycle as they move across continents requires an approach that is both spatially and temporally explicit—now achievable through recent parallel advances in remote-sensing and individual tracking technologies. We combined 10 years of tracking data for a long-distance migrant, (common cuckoo, Cuculus canorus), with multi-dimensional remote-sensed spatial datasets encompassing thirteen relevant anthropogenic impacts (including infrastructure, hunting, habitat change, and climate change), to quantify mean hourly and total accumulated exposure of tracked individuals to anthropogenic change across each stage of the annual cycle. Although mean hourly exposure to anthropogenic change was greatest in the breeding stage, accumulated exposure to changes associated with direct mortality risks (e.g., built infrastructure) and with climate were greatest during the wintering stage, which comprised 63% of the annual cycle on average for tracked individuals. Exposure to anthropogenic change varied considerably within and between migratory flyways, but there were no clear between-flyway differences in overall exposure during migration stages. However, more easterly autumn migratory routes were significantly associated with lower subsequent exposure to anthropogenic impacts in the winter stage. Cumulative change exposure was not significantly associated with recent local-scale population trends in the breeding range, possibly because cuckoos from shared breeding areas may follow divergent migration routes and therefore encounter very different risk landscapes. Our study highlights the potential for the integration of tracking data and high-resolution remote sensing to generate valuable and detailed new insights into the impacts of environmental change on wild species.
| Item Type: | Article |
|---|---|
| Additional Information: | Data availability statement: The data underpinning the analyses presented here are openly available from Figshare at https://doi.org/10.6084/m9.figshare.23576031 (Buchan et al., 2023), and which were calculated using publicly available risk surfaces listed in Buchan et al. (2022b). Research Funding: Fundação para a Ciência e a Tecnologia. Grant Number: 2021.03224.CEECIND; NERC EnvEast Studentship. Grant Number: NE/L002582/1 |
| Uncontrolled Keywords: | anthropogenic change,full season,migration,movement ecology,remote sensing,global and planetary change,environmental chemistry,ecology,environmental science(all) ,/dk/atira/pure/subjectarea/asjc/2300/2306 |
| Faculty \ School: | Faculty of Science > School of Biological Sciences Faculty of Science > School of Environmental Sciences University of East Anglia Research Groups/Centres > Theme - ClimateUEA |
| UEA Research Groups: | Faculty of Science > Research Groups > Organisms and the Environment Faculty of Science > Research Groups > Environmental Biology Faculty of Science > Research Centres > Centre for Ecology, Evolution and Conservation |
| Related URLs: | |
| Depositing User: | LivePure Connector |
| Date Deposited: | 07 Oct 2023 01:24 |
| Last Modified: | 15 Nov 2023 11:55 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/93155 |
| DOI: | 10.1111/gcb.16974 |
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