کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
11033202 1626762 2018 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Towards fishery-independent biomass estimation for Hawaiian Islands deepwater snappers
ترجمه فارسی عنوان
به سوی تخمین زیست توده مستقل ماهیگیری برای جزایر هاوائی در جزایر عمیق آب
کلمات کلیدی
بررسی آماری نمونه گیری، دینامیک جمعیت، مدیریت ماهیگیری،
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک علوم آبزیان
چکیده انگلیسی
The Hawaiian deep-slope (75-400 m) Deep7 bottomfish fishery consists of seven (i.e., six snappers and one grouper) species. This study developed a sampling survey and modeling methodology for estimating biomass for this complex in the Main Hawaiian Islands. The island-wide fishery-independent sampling survey using two gears (commercial fishers with hook-and-line, 3D stereo camera) was conducted to generate estimates of relative abundance- and biomass-at-length for the complex. A length-based modeling approach was applied to the opakapaka fishery and survey size-structured abundance data, life history demography, and total fishery catches to estimate a feasible range of effective sampling area for the standard survey gear (i.e., cameras). These sampling area estimates were then used to expand survey estimates of relative biomass to population total biomass. The longer-term focus of this effort is to improve stock assessments of the Deep7 complex. The survey and modeling methods developed in this study provide the underpinnings of an integrated information and modeling system for assessment that enables multiple levels of comparison and validation with respect to data sources (fishery-dependent and fishery-independent) and modeling approaches (biomass-dynamic and cohort-structured).
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Fisheries Research - Volume 208, December 2018, Pages 321-328
نویسندگان
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