2017
DOI: 10.1002/aqc.2832
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Human‐induced gradients of reef fish declines in the Hawaiian Archipelago viewed through the lens of traditional management boundaries

Abstract: 1. Large declines in reef fish populations in Hawai'i have raised concerns about the sustainability of these resources, and the ecosystem as a whole. To help elucidate the reasons behind these declines, a comprehensive examination of reef fish assemblages was conducted across the entire 2500 km Hawaiian Archipelago.2. Twenty-five datasets were compiled, representing >25 000 individual surveys conducted throughout Hawai'i since 2000. To account for overall differences in survey methods, conversion factors were … Show more

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Cited by 32 publications
(54 citation statements)
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“…If a calibration factor could not be calculated at the combined family–trophic level, then a global calibration was used that considered all species pooled for each method. For all subsequent analyses, density estimates were based on calibrated densities of raw data (Friedlander et al, , table S3).…”
Section: Methodsmentioning
confidence: 99%
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“…If a calibration factor could not be calculated at the combined family–trophic level, then a global calibration was used that considered all species pooled for each method. For all subsequent analyses, density estimates were based on calibrated densities of raw data (Friedlander et al, , table S3).…”
Section: Methodsmentioning
confidence: 99%
“…Fishes were categorized into four trophic groups (piscivores, invertivores, planktivores, and herbivores) after DeMartini, Friedlander, Sandin, and Sala () and Sandin et al (). Resource species were defined either as those species having ≥450 kg of average annual commercial or recreational harvest from 2000 to 2010 or as recognized species that are important to the local subsistence or cultural sectors (Friedlander et al, ).…”
Section: Methodsmentioning
confidence: 99%
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“…Impacts from fishing have been inferred by comparing fish populations in populated vs. remote areas (e.g., Friedlander et al. ) and by using proxies such as local human population density and distance to markets (Williams et al. , Cinner et al.…”
Section: Introductionmentioning
confidence: 99%