Sentience in decapod crustaceans: a general framework and review of the evidence
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We outline a framework for evaluating scientific evidence of sentience, focusing on pain experience. It includes eight neural and cognitive-behavioural criteria, with confidence levels for each criterion reflecting the reliability and quality of the evidence. We outline the rationale for each criterion and apply our framework to a controversial sentience candidate: decapod crustaceans. We have either high or very high confidence that true crabs (infraorder Brachyura) satisfy five criteria, amounting to strong evidence of sentience. Moreover, we have high confidence that both anomuran crabs (infraorder Anomura) and astacid lobsters/crayfish (infraorder Astacidea) meet three criteria—substantial evidence of sentience. The case is, as yet, weaker for other infraorders, such as penaeid shrimps, highlighting important research gaps. Having demonstrated our framework’s application to decapod crustaceans, we hope that future research will apply it to other taxa.
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“By integrating information across the animal’s whole nervous system to generate evaluations, sentience also plausibly facilitates flexible decision-making and new forms of associative learning (Griffin, 1998; Ginsburg & Jablonka, 2019; Birch et al., 2020a).”
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“Appel & Elwood (2009a) asked: if hermit crabs receive electric shocks in their shells, will they leave regardless of shell quality, or will they leave high-quality shells more reluctantly than low-quality shells?”
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Can insects feel pain? A review of the neural and behavioural evidence
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“All animals are conscious”: Shifting the null hypothesis in consciousness science
Andrews, K. (2024) · Mind & Language · doi:10.1111/mila.12498 · Cited by 40 · see citing works
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Self-citationGeneralizing frameworks for sentience beyond natural species
Levin, M. (2022) · Animal Sentience · doi:10.51291/2377-7478.1733 · Cited by 28 · see citing works
Defending and refining the Birch <i>et al.</i> (2021) precautionary framework for animal sentience
Fischer, B., Gottlieb, J., Schnell, A. K., & Barrett, M. (2025) · Animal Welfare · doi:10.1017/awf.2025.27 · Cited by 6 · see citing works
Self-citationBirch, J. (2024) · The Edge of Sentience · doi:10.1093/9780191966729.003.0003 · Cited by 1 · see citing works
Self-citation
- Authors
- Crump, A., Browning, H., Schnell, A., Burn, C., & Birch, J.
- Affiliations
- Royal Veterinary College (GB)
- Venue
- Animal Sentience
- Publisher
- WellBeing International Publications
- Published
- 2022-01-01
- Volume
- 7
- Issue
- 32
- ISSN
- 2377-7478 (ISSN-L)
- OpenAlex
- W4285143868
- Cited by
- 215
- References
- 7
- Citations by year
- 2026: 17 · 2025: 44 · 2024: 55 · 2023: 50 · 2022: 48 · 2021: 1
- FWCI
- 26.24
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- Locations
- Animal Sentience (publishedVersion, cc-by)
- ePrints Soton (University of Southampton) (acceptedVersion, cc-by)
- London School of Economics and Political Science Theses Online (London School of Economics and Political Science) (acceptedVersion, cc-by)
- London School of Economics and Political Science Research Online (London School of Economics and Political Science) (acceptedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- WBI Studies Repository (submittedVersion, cc-by)
- Funders
- Department for Environment, Food and Rural Affairs, UK Government (AW0517)
- European Commission (851145, HORIZON2020)
- Topics
- Physical Sciences › Environmental Science › Ecology › Crustacean biology and ecology
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Philosophy and Theoretical Science
- Health Sciences › Veterinary › Small Animals › Animal Behavior and Welfare Studies
- Keywords
- sentience, Decapoda, pain experience, Brachyura, Anomura, Astacidea, penaeid shrimp, animal welfare
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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