کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
8885509 | 1626770 | 2018 | 7 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Estimating steepness of the stock-recruitment relationship in Chilean fish stocks using meta-analysis
ترجمه فارسی عنوان
برآورد شیب رابطه روابط سهام با سهام ماهیان شیلی با استفاده از متا تجزیه و
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کلمات کلیدی
استخدام سهام، متاآنالیز، رطوبت، ماهیگیری شیلی،
موضوعات مرتبط
علوم زیستی و بیوفناوری
علوم کشاورزی و بیولوژیک
علوم آبزیان
چکیده انگلیسی
Steepness (h) is a fundamental metric in population dynamics because it defines the relationship between parental stock and offspring. h represents a direct measurement of resilience and is therefore crucial in the management of harvested populations. However, h represents one of the most difficult parameters to estimate, even for data-rich stocks. It is usually estimated using indirect methods based on meta-analysis. Existing meta-analyses use all available estimates of h from different sources of information (i.e., from outside or within the stock assessment model) and report non-significant relationships between h and other life history traits, even though several theoretical analyses suggest the contrary. We conducted a two-stage meta-analysis, firstly selecting suitable h estimates from stock assessment models for fish stocks worldwide. 42 estimates of h were collected and several life history attributes were used as explanatory variables within generalised linear models (GLMs). We found a significant relationship (pâ¯<â¯0.05) between h and the ratio between length at 50% maturity (L50) and asymptotic length (Lâ). The second stage of our meta-analysis was to apply this relationship to 19 fish stocks harvested off Chile to estimate species-specific h and the associated uncertainty. We discuss the assumptions of the proposed meta-analysis, the reliability of the estimated uncertainties and outline the potential application in the assessment and management of fish resources in Chile.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Fisheries Research - Volume 200, April 2018, Pages 61-67
Journal: Fisheries Research - Volume 200, April 2018, Pages 61-67
نویسندگان
Rodrigo Wiff, Andrés Flores, Sergio Neira, Bruno Caneco,