Integrating Sr isotopes, microchemistry, and genetics to reconstruct Salmonidae species and life history
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Abstract
Recent approaches to fisheries research emphasize the importance of the coproduction of knowledge in building resilient and culturally mindful fisheries management frameworks. Despite widespread recognition of the need for Indigenous knowledge and historical reference points as baseline data, archaeological data are rarely included in conservation biology research designs. Here we propose a novel multiproxy method to learn from former fisheries stewards by generating archaeological data on past salmonid population parameters. We used a newly developed, high throughput qPCR (HT-qPCR) chip, originally designed for environmental DNA (eDNA), for species identification of archaeological salmonid vertebrae. We combine this with the laser ablation split-stream (LASS) approach to identify ocean-migration versus freshwater residency. We test this multidisciplinary approach using both contemporary and archaeological salmonid samples and new radiocarbon dates from the Tronsdal Site on the Skagit River, Washington State, USA. This is a useful approach for extracting information about Salmonidae species and life history diversity from archaeological remains to reconstruct historic baselines for several population parameters in anadromous species with long periods of freshwater residency. The approach outlined in this paper may be particularly useful for research investigating past fisheries dynamics, offering hundreds to thousands of years of temporal depth for modern fisheries management, harvest policies, restoration ecology, and conservation biology.
Publication type | Article |
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Publication Subtype | Journal Article |
Title | Integrating Sr isotopes, microchemistry, and genetics to reconstruct Salmonidae species and life history |
Series title | Archaeometry |
DOI | 10.1111/arcm.13058 |
Edition | Online First |
Year Published | 2025 |
Language | English |
Publisher | Wiley |
Contributing office(s) | Geology, Energy & Minerals Science Center |
Google Analytic Metrics | Metrics page |