[1]罗天同,Gabriel YEDID.基于数字进化研究大灭绝对群落稳定性和协调停滞现象出现的影响[J].南京农业大学学报,2018,41(1):88-97.[doi:10.7685/jnau.201703016]
 LUO Tiantong,Gabriel YEDID.Effects of mass extinction on community stability and emergence of coordinated stasis with digital evolution[J].Journal of Nanjing Agricultural University,2018,41(1):88-97.[doi:10.7685/jnau.201703016]





Effects of mass extinction on community stability and emergence of coordinated stasis with digital evolution
罗天同 Gabriel YEDID
南京农业大学生命科学学院, 江苏 南京 210095
LUO Tiantong Gabriel YEDID
College of Life Sciences, Nanjing Agricultural University, Nanjing 210095, China
digital evolutionmass extinctioncommunity stabilitycoordinated stasiscomputer simulation
[Objectives]The phenomenon of coordinated stasis is an extension of punctuated equilibria,which describes the long-term stability of multi-species communities. The research based on digital evolution is significant for understanding the phenomenon and its mechanism more fully. [Methods]In this study,we used digital evolution and multiple data analyses to investigate the effects of different mass extinction treatments on the emergence of coordinated stasis and community stability at different levels in controlled experimental settings that are based on cross-feeding. [Results]The main results indicated:1) Most of the control communities kept stable during long periods of time in community organization without disturbance;2) Community stability at eco-phenotypic levels had significant negative correlation with extinction intensity;3) The stability we found in"time shift invasion trials"was different from the relatively high stability at eco-phenotypic levels;4) Results of the fitness change of community members supported fitness-deterioration interpretation of "Red Queen":any evolutionary advance in one member will entail a loss of fitness in others;5) Stasis we observed from the results was largely uncoordinated. [Conclusions]The effects of different mass extinctions we demonstrated in this study are helpful for better understanding of multi-agent evolutionary systems involving multiple biotic interactions among community members.


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通信作者:Gabriel Yedid,副教授,研究方向为进化生态学,E-mail:gyedid03@yahoo.com。
更新日期/Last Update: 1900-01-01