Realized thermal niche approach eliminates temperature bias in bioenergetic model estimates
Abstract Bioenergetics models estimate ectotherm growth, production, and prey consumption – all key for effective ecosystem management during changing global temperatures. Based on species‐specific allometric and thermodynamic relationships, these models typically use the species' lab‐derived o...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-02-01
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| Series: | Ecology and Evolution |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/ece3.10974 |
| _version_ | 1827572787175227392 |
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| author | Silviya V. Ivanova Aaron T. Fisk Timothy B. Johnson |
| author_facet | Silviya V. Ivanova Aaron T. Fisk Timothy B. Johnson |
| author_sort | Silviya V. Ivanova |
| collection | DOAJ |
| description | Abstract Bioenergetics models estimate ectotherm growth, production, and prey consumption – all key for effective ecosystem management during changing global temperatures. Based on species‐specific allometric and thermodynamic relationships, these models typically use the species' lab‐derived optimum temperatures (physiological optimum) as opposed to empirical field data (realized thermal niche) that reflect actual thermal experience. Yet, dynamic behavioral thermoregulation mediated by biotic and abiotic interactions may provide substantial divergence between physiological optimum and realized thermal niche temperatures to significantly bias model outcomes. Here, using the Wisconsin bioenergetics model and in‐situ year‐round temperature data, we tested the two approaches and compared the maximum attainable lifetime weight and lifetime prey consumption estimates for two salmonid species with differing life histories. We demonstrate that using the realized thermal niche is the better approach because it eliminates significant biases in estimates produced by the physiological optimum. Specifically, using the physiological optimum, slower‐growing Salvelinus namaycush maximum attainable lifetime weight was underestimated, and consumption overestimated, while fast‐growing Oncorhynchus tshawytscha maximum attainable weight was overestimated. While the physiological optimum approach is useful for theoretical studies, our results demonstrate the critical importance that models used by management utilize up‐to‐date system‐ and species‐specific field data representing actual in‐situ behaviors (i.e., realized thermal niche). |
| first_indexed | 2024-03-07T19:28:35Z |
| format | Article |
| id | doaj.art-0bd248c10bde408d8d3e9f78adbaa531 |
| institution | Directory Open Access Journal |
| issn | 2045-7758 |
| language | English |
| last_indexed | 2024-03-07T19:28:35Z |
| publishDate | 2024-02-01 |
| publisher | Wiley |
| record_format | Article |
| series | Ecology and Evolution |
| spelling | doaj.art-0bd248c10bde408d8d3e9f78adbaa5312024-02-29T08:56:39ZengWileyEcology and Evolution2045-77582024-02-01142n/an/a10.1002/ece3.10974Realized thermal niche approach eliminates temperature bias in bioenergetic model estimatesSilviya V. Ivanova0Aaron T. Fisk1Timothy B. Johnson2Great Lakes Institute for Environmental Research University of Windsor Windsor Ontario CanadaSchool of the Environment University of Windsor Windsor Ontario CanadaOntario Ministry of Natural Resources and Forestry Picton Ontario CanadaAbstract Bioenergetics models estimate ectotherm growth, production, and prey consumption – all key for effective ecosystem management during changing global temperatures. Based on species‐specific allometric and thermodynamic relationships, these models typically use the species' lab‐derived optimum temperatures (physiological optimum) as opposed to empirical field data (realized thermal niche) that reflect actual thermal experience. Yet, dynamic behavioral thermoregulation mediated by biotic and abiotic interactions may provide substantial divergence between physiological optimum and realized thermal niche temperatures to significantly bias model outcomes. Here, using the Wisconsin bioenergetics model and in‐situ year‐round temperature data, we tested the two approaches and compared the maximum attainable lifetime weight and lifetime prey consumption estimates for two salmonid species with differing life histories. We demonstrate that using the realized thermal niche is the better approach because it eliminates significant biases in estimates produced by the physiological optimum. Specifically, using the physiological optimum, slower‐growing Salvelinus namaycush maximum attainable lifetime weight was underestimated, and consumption overestimated, while fast‐growing Oncorhynchus tshawytscha maximum attainable weight was overestimated. While the physiological optimum approach is useful for theoretical studies, our results demonstrate the critical importance that models used by management utilize up‐to‐date system‐ and species‐specific field data representing actual in‐situ behaviors (i.e., realized thermal niche).https://doi.org/10.1002/ece3.10974behaviorbioenergeticsmodel biasprey consumptionrealized nichethermal occupancy |
| spellingShingle | Silviya V. Ivanova Aaron T. Fisk Timothy B. Johnson Realized thermal niche approach eliminates temperature bias in bioenergetic model estimates Ecology and Evolution behavior bioenergetics model bias prey consumption realized niche thermal occupancy |
| title | Realized thermal niche approach eliminates temperature bias in bioenergetic model estimates |
| title_full | Realized thermal niche approach eliminates temperature bias in bioenergetic model estimates |
| title_fullStr | Realized thermal niche approach eliminates temperature bias in bioenergetic model estimates |
| title_full_unstemmed | Realized thermal niche approach eliminates temperature bias in bioenergetic model estimates |
| title_short | Realized thermal niche approach eliminates temperature bias in bioenergetic model estimates |
| title_sort | realized thermal niche approach eliminates temperature bias in bioenergetic model estimates |
| topic | behavior bioenergetics model bias prey consumption realized niche thermal occupancy |
| url | https://doi.org/10.1002/ece3.10974 |
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