التفاصيل البيبلوغرافية
| العنوان: |
Watershed‐level brook trout genetic structuring: Evaluation and application of riverscape genetics models |
| المؤلفون: |
Nathan, Lucas R., Welsh, Amy B., Vokoun, Jason C. |
| المساهمون: |
National Institute of Food and Agriculture, Connecticut Department of Energy and Environmental Protection |
| المصدر: |
Freshwater Biology ; volume 64, issue 3, page 405-420 ; ISSN 0046-5070 1365-2427 |
| بيانات النشر: |
Wiley |
| سنة النشر: |
2018 |
| المجموعة: |
Wiley Online Library (Open Access Articles via Crossref) |
| الوصف: |
Stream connectivity promotes resilience and population viability of aquatic organisms. Landscape genetic approaches, traditionally applied to terrestrial systems, may reveal important watershed‐level dynamics that influence connectivity. Additional validation would improve understanding of how the models perform when gene flow is constrained to dendritic networks. The objectives of this study were to use simulations to assess the utility of landscape genetics analyses in dendritic stream networks and investigate riverscape variables influencing gene flow among brook trout Salvelinus fontinalis populations in headwater streams. We used an individual‐based simulation program to simulate different dispersal scenarios and used combinations of landscape genetic models, model selection methods, and genetic metrics to determine the best combination for riverscape systems. We also sampled brook trout from 76 headwater streams in two watersheds ( c . 1,000 km 2 ) in Connecticut, U.S.A. to assess connectivity and riverscape influences on genetic structuring. Gravity models with Bayesian information criterion (BIC) selection were the most accurate (>85%) landscape genetic models that consistently identified the correct simulated gene flow barrier. However, all models performed poorly when unidirectional barriers were simulated without a distance‐based dispersal limitation. Excluding this scenario, model accuracy for the gravity models using BIC selection was >90% across multiple genetic metrics, validating the application of landscape genetic models to riverscape systems. We found highly variable levels of brook trout genetic connectivity ( F ST range 0.01–0.19) at the watershed level (5–15 river km). Gravity models identified increases in upstream impervious surfaces and decreases in riparian tree canopy cover as riverscape variables associated with increases in genetic differentiation in one watershed, while the other watershed was consistent with an isolation by distance pattern. In this study we used ... |
| نوع الوثيقة: |
article in journal/newspaper |
| اللغة: |
English |
| DOI: |
10.1111/fwb.13230 |
| الإتاحة: |
https://doi.org/10.1111/fwb.13230Test |
| حقوق: |
http://onlinelibrary.wiley.com/termsAndConditions#amTest ; http://onlinelibrary.wiley.com/termsAndConditions#vorTest |
| رقم الانضمام: |
edsbas.9F77A558 |
| قاعدة البيانات: |
BASE |
