Alternative assembly processes from trait-mediated co-evolution in mutualistic communities

被引:5
|
作者
Minoarivelo, Henintsoa O. [1 ,2 ]
Hui, Cang [1 ,3 ]
机构
[1] Stellenbosch Univ, Dept Math Sci, Theoret Ecol Grp, ZA-7602 Matieland, South Africa
[2] Univ Witwatersrand, Ctr Excellence Math & Stat Sci, ZA-2050 Gauteng, South Africa
[3] African Inst Math Sci, Math & Phys BioSci, ZA-7945 Muizenberg, South Africa
基金
新加坡国家研究基金会;
关键词
Mutualistic interaction; Adaptive dynamics; Adaptive diversification; Biodiversity; Productivity; Species abundance; EVOLUTIONARY BI-STABILITY; STABLE STATES; SYMPATRIC SPECIATION; INTRASPECIFIC COMPETITION; BIOLOGICAL INVASIONS; RAPID EVOLUTION; INTERACTION WEB; DYNAMICS; NETWORKS; DIVERSITY;
D O I
10.1016/j.jtbi.2018.06.004
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Ecological and evolutionary dynamics observed in mutualistic communities can be shaped by several mechanisms, including ecological interactions and their co-evolutionary consequences. Here we explore how intra and interspecific competition, together with mutualistic interactions, can affect community assembly through their effects on adaptive diversification and the emergence of biodiversity. To capture both ecological and evolutionary processes simultaneously, we used the adaptive dynamics approach based on a Lotka-Volterra framework and simulated the ecological dynamics of populations as well as the evolutionary dynamics of phenotypic traits. Depending on the initial trait values, two possible alternative evolutionary regimes emerged: traits evolve towards either optimal utilization of environmental resources or maximizing the benefits from mutualistic interactions. Diversification and overall biodiversity are mostly driven by frequency-dependent competition, while mutualism plays an important role in enhancing ecosystem productivity and evolutionary stability. Because different initial trait values in a community can lead to alternative evolutionary regimes, species loss and biological invasions could not only alter ecological dynamics but also push the system onto an alternative successional climax or evolutionary end point. It thus becomes essential to clarify the past evolutionary dynamics so as to draw conclusions on key community assembly processes. (C) 2018 Elsevier Ltd. All rights reserved.
引用
收藏
页码:146 / 153
页数:8
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