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Data for: Coherent long-term body-size responses across all Northwest Atlantic herring populations to warming and environmental change despite contrasting harvest and ecological factors

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DataONE2024-02-16 更新2024-06-08 收录
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Body size is a key component of individual fitness and an important factor in the structure and functioning of populations and ecosystems. Disentangling the effects of environmental change, harvest, and intra- and inter-specific trophic effects on body size remains challenging for populations in the wild. Herring in the Northwest Atlantic provide a strong basis for evaluating hypotheses related to these drivers given that they have experienced significant warming and harvest over the past century, while also having been exposed to a wide range of other selective constraints across their range. Using data on mean length-at-age 4 for the sixteen principal populations over a period of 53 cohorts (1962-2014), we fitted a series of empirical models for temporal and between-population variation in the response to changes in sea surface temperature. We find evidence for a unified cross-population response in the form of a parabolic function according to which populations in naturally warmer en..., See Methods section in: Coherent long-term body-size responses across all Northwest Atlantic herring populations to warming and environmental change despite contrasting harvest and ecological factors., , # Data for Coherent long-term body-size responses across all Northwest Atlantic herring populations to warming and environmental change despite contrasting harvest and ecological factors This Dryad data submission includes datasets needed for the analysis in Coherent long-term body-size responses across all Northwest Atlantic herring populations to warming and environmental change despite contrasting harvest and ecological factors. The information needed to reproduce the analysis is given in the article's main text as well as in the Supplementary Information file. ## Description of the data and file structure laa4.tmean.df: * stock: population identity (see names in Figure 2) * cohort: birth year (here, corresponding to year-age = year-4 years old) * year: year of capture * location: location for temperature series (see Figure 2a) * mlen: mean length-at-age (mm) * mean_temp: mean temperature in the year of capture * tmean: corresponds to lifetime SST (see Methods) * ...
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2025-07-27
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