کد مقاله کد نشریه سال انتشار مقاله انگلیسی ترجمه فارسی نسخه تمام متن
8974740 1552996 2005 17 صفحه PDF سفارش دهید دانلود رایگان
عنوان انگلیسی مقاله ISI
Incompleteness and statistical uncertainty in competition/stocking experiments
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موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک علوم آبزیان
پیش نمایش صفحه اول مقاله
Incompleteness and statistical uncertainty in competition/stocking experiments
چکیده انگلیسی
In competition experiments, decisions are made not only about experimental conditions such as initial population densities, of course, but also about population size structure, for instance. Here we use an individual-based simulation model to study the effect of size-grading of mussels. With low individual variability, predicted yield was lower and less variable, there was no density-dependent mortality, and optimal stocking density for aquaculture was lower than with high individual variability, whereby self-thinning occurred and yield was quite variable. Thus, individual variability was a critical factor for estimating survival effects of overstocking, at the expense of precision of growth estimates. Therefore, competition experiments are inherently incomplete. We argue that in practice, incompleteness cannot be overcome by using genetic information as a covariate because evidence from the literature shows that the effect of genetic makeup in competition situations is frequency-dependent. Apparently, the only approach presently available to obtain unbiased estimates is to use a size structure similar to that of the population under study. This contrasts with a literature review of bivalve stocking experiments published in Aquaculture through the last 30 years which clearly shows that the issue of size structure of test populations has been largely overlooked. The same principles hold for competition studies in natural settings.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Aquaculture - Volume 246, Issues 1–4, 18 May 2005, Pages 209-225
نویسندگان
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