How tracking technology is transforming animal ecology: epistemic values, interdisciplinarity, and technology-driven scientific change
dc.contributor.author | Trappes, R | |
dc.date.accessioned | 2023-03-28T14:45:55Z | |
dc.date.issued | 2023-03-27 | |
dc.date.updated | 2023-03-28T14:26:11Z | |
dc.description.abstract | Tracking technology has been heralded as transformative for animal ecology. In this paper I examine what changes are taking place, showing how current animal movement research is a field ripe for philosophical investigation. I focus first on how the devices alter the limitations and biases of traditional field observation, making observation of animal movement and behaviour possible in more detail, for more varied species, and under a broader variety of conditions, as well as restricting the influence of human presence and observer bias. I reconstruct these as shifts in scope, objectivity, accuracy and fruitfulness. The second transformation is slightly less obvious but equally significant for animal ecology. Tracking devices generate complex data that demands both statistical and biological expertise, which has led to increasingly frequent and intensive collaborations between statisticians and biologists. Based on interviews, I examine how researchers in these interdisciplinary collaborations negotiate the collection, analysis and interpretation of movement data, integrating research interests, methodological constraints, previous field observations, and background theory. Tracking technology is therefore also shifting which disciplinary considerations are brought to bear on research into animal movement and behaviour and how this research is conducted. | en_GB |
dc.description.sponsorship | German Research Foundation (DFG) | en_GB |
dc.description.sponsorship | European Union Horizon 2020 | en_GB |
dc.identifier.citation | Vol. 201(4), article 128 | en_GB |
dc.identifier.doi | https://doi.org/10.1007/s11229-023-04122-5 | |
dc.identifier.grantnumber | 316099922 | en_GB |
dc.identifier.grantnumber | 101001145 | en_GB |
dc.identifier.uri | http://hdl.handle.net/10871/132799 | |
dc.identifier | ORCID: 0000-0002-6398-5404 (Trappes, Rose) | |
dc.language.iso | en | en_GB |
dc.publisher | Springer | en_GB |
dc.rights | © The Author(s) 2023. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ | en_GB |
dc.subject | Movement ecology | en_GB |
dc.subject | Biotelemetry | en_GB |
dc.subject | Data-centric science | en_GB |
dc.subject | Interdisciplinarity | en_GB |
dc.subject | Scientific change | en_GB |
dc.subject | Objectivity | en_GB |
dc.subject | Fruitfulness | en_GB |
dc.title | How tracking technology is transforming animal ecology: epistemic values, interdisciplinarity, and technology-driven scientific change | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2023-03-28T14:45:55Z | |
exeter.article-number | 128 | |
dc.description | This is the final version. Available on open access from Springer via the DOI in this record | en_GB |
dc.description | Data availability: Interview transcripts cannot be published due to privacy restrictions. | en_GB |
dc.identifier.eissn | 1573-0964 | |
dc.identifier.journal | Synthese | en_GB |
dc.relation.ispartof | Synthese, 201(4) | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_GB |
dcterms.dateAccepted | 2023-03-08 | |
rioxxterms.version | VoR | en_GB |
rioxxterms.licenseref.startdate | 2023-03-27 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2023-03-28T14:43:29Z | |
refterms.versionFCD | VoR | |
refterms.dateFOA | 2023-03-28T14:45:56Z | |
refterms.panel | C | en_GB |
refterms.dateFirstOnline | 2023-03-27 |
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Except where otherwise noted, this item's licence is described as © The Author(s) 2023. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/