کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4372389 1617089 2016 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Stabilizing the dynamics of laboratory populations of Drosophila melanogaster through upper and lower limiter controls
ترجمه فارسی عنوان
ثبات پویایی جمعیت آزمایشگاهی دروزوفیلا ملانوگاستر از طریق کنترل محدود بالا و پایین
کلمات کلیدی
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک بوم شناسی، تکامل، رفتار و سامانه شناسی
چکیده انگلیسی


• Empirical validation of two methods: upper and lower limiter control (ULC and LLC).
• ULC promotes constancy and persistence but has less effects on genetic stability.
• LLC enhances persistence and genetic stability but not constancy.
• Biologically realistic simulations match the data, indicating generalizability.

Although a large number of methods exist to control the dynamics of populations to a desired state, few of them have been empirically validated. This limits the scope of using these methods in real-life scenarios. To address this issue, we tested the efficacy of two well-known control methods in enhancing different kinds of stability in highly fluctuating, extinction-prone populations of Drosophila melanogaster. The upper limiter control (ULC) method was able to reduce the fluctuations in population sizes as well as the extinction probability of the populations. On the negative side, it had no effect on the effective population size and required a large amount of effort. On the other hand, lower limiter control (LLC) enhanced effective population size and reduced extinction probability at a relatively low amount of effort. However, its effects on population fluctuations were equivocal. We examined the population size distributions, with and without the control methods, to derive biologically intuitive explanations for how these control methods work. We also show that biologically realistic simulations, using a very general population dynamics model, are able to capture most of the trends of our data. This suggests that our results are likely to be generalizable to a wide range of scenarios.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Ecological Complexity - Volume 25, March 2016, Pages 18–25
نویسندگان
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