Linking Land Use to Atlantic Salmon Production to Guide Recovery Planning

Abstract Quantifying functional relationships between abundance and land use is critical during recovery planning for endangered freshwater and diadromous fishes. However, there is little practical guidance on how much abundance might be expected to change from specific types or magnitudes of land u...

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Bibliographic Details
Published in:North American Journal of Fisheries Management
Main Authors: Bowlby, Heather D., Gibson, A. Jamie F.
Format: Article in Journal/Newspaper
Language:English
Published: Wiley 2019
Subjects:
Online Access:http://dx.doi.org/10.1002/nafm.10300
https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fnafm.10300
https://onlinelibrary.wiley.com/doi/pdf/10.1002/nafm.10300
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https://afspubs.onlinelibrary.wiley.com/doi/pdf/10.1002/nafm.10300
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Summary:Abstract Quantifying functional relationships between abundance and land use is critical during recovery planning for endangered freshwater and diadromous fishes. However, there is little practical guidance on how much abundance might be expected to change from specific types or magnitudes of land use, making it difficult to identify specific sites for restoration or to prioritize among remediation actions. To address these needs for endangered Atlantic Salmon Salmo salar inhabiting the Southern Upland region of Nova Scotia, Canada, we developed a suite of hierarchical models to evaluate the functional form and magnitude of response of populations to land use at two spatial scales. Juvenile distribution patterns showed a strong longitudinal gradient throughout the stream network, with higher densities occurring in headwaters, which suggests that maintaining connectivity as well as unmodified landscapes in the upper reaches of rivers should be prioritized to aid recovery. Relative to threats, there was no single type of land use that was primarily associated with changes in juvenile abundance. Instead, responses to the combined suite of land‐use types were nonlinear and did not appear dependent on spatial scale. When the proportion of natural forest cover was high, populations appeared to benefit from low levels of anthropogenic land use, declining with increasing human activity only once the average proportion of natural forest cover was low. To use threat relationships in recovery planning, we propose a simple quantitative index based on the extent of development in the vicinity of rivers to identify sites for remediation or protection. To aid future monitoring, we demonstrate why site‐specific electrofishing catchability must be estimated when evaluating population responses to landscape change.