Simultaneous enhancement of multiple stability properties using two-parameter control methods in Drosophila melanogaster |
| |
| Affiliation: | 1. Instrumentation and Applied Physics, Indian Institute of Science, Bangalore 560012, India;2. Centre for Nano Science and Engineering, Indian Institute of Science, Bangalore 560012, India;3. IV. Institute of Physics, Georg-August-Universität-Göttingen, Friedrich-Hund-Platz 1, 37077 Göttingen, Germany;4. III. Institute of Physics – Biophysics and Complex Systems, Georg-August-Universität-Göttingen, Friedrich-Hund-Platz 1, 37077 Göttingen, Germany;5. Institute of Biological Chemistry, Biophysics and Bioengineering, Heriot-Watt University, Edinburgh EH14 4AS, UK;1. Key Laboratory for Space Biosciences and Biotechnology, Institute of Special Environment Biophysics, School of Life Sciences, Northwestern Polytechnical University, Xi''an, 710072, China;2. Research & Development Institute in Shenzhen, Northwestern Polytechnical University, Shenzhen, 518063, China;1. INFN Laboratori Nazionali di Frascati, 00044 Frascati, Rome, Italy;2. University of Sofia “St. Kl. Ohridski”, 1164 Sofia, Bulgaria;1. Department of Psychology, University of Wisconsin-Madison, Madison, WI 53715, USA;2. Department of Psychology, University of Minnesota, Minneapolis, MN 55455, USA;1. Division of Cardiology, Department of Medicine, The University of Hong Kong Shenzhen Hospital, Shenzhen, China;2. Department of Medicine, Affiliated Hospital of North Sichuan Medical College, Nanchong City, Sichuan Province, China;3. Division of Cardiology, Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong, China;4. Department of Ultrasound, Shenzhen Hospital, Southern Medical University, Shen Zhen, China;5. Division of Ultrasound, Department of Radiology, The University of Hong Kong Shenzhen Hospital, Shenzhen, China;1. Key Laboratory for Food Microbial Technology of Zhejiang Province, College of Food Science and Biotechnology, Zhejiang Gongshang University, No. 18, Xuezheng Street, Xiasha University Town, Hangzhou, 310018, China;2. College of Life Sciences, Zhejiang University, Hangzhou, 310058, China |
| |
| Abstract: | Although a large number of methods have been proposed to control the non-linear dynamics of unstable populations, very few have been verified using biological populations. Here, we investigated the effects of two well-studied control methods (Both Limiter Control and Target-Oriented Control) on the dynamics of unstable populations of Drosophila melanogaster. We also perform biologically realistic simulations to ascertain the generalizability of our results. We show that both methods can significantly reduce population fluctuations, decrease extinction probability and increase effective population size simultaneously. This is in contrast with earlier studies on single parameter control methods that are not able to concurrently achieve multiple aspects of stability. We use the distribution of population sizes to derive biologically intuitive explanations for the mechanisms of how these two control methods attain stability. Finally, we show that non-Drosophila specific biologically realistic simulations are able to capture almost all the trends of our data. This shows that our results are likely generalizable over a wide range of taxa. Therefore, the control methods that incorporate both culling and restocking (like BLC and TOC) can simultaneously achieve multiple kinds of stability and therefore are strong candidates for field applications. |
| |
| Keywords: | Both Limiter Control Constancy Effective population size Effort magnitude Persistence Population stability Target-Oriented Control |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
