Coevolution leaves a weak signal on ecological networks

被引:13
|
作者
Ponisio, Lauren C. [1 ,2 ,3 ]
M'Gonigle, Leithen K. [1 ,4 ]
机构
[1] Univ Calif Berkeley, Dept Environm Sci Policy & Management, 130 Mulford Hall, Berkeley, CA 94720 USA
[2] Univ Calif Berkeley, BIDS, 190 Doe Lib, Berkeley, CA 94720 USA
[3] Univ Calif Riverside, Dept Entomol, 417 Entomol Bldg, Riverside, CA 92521 USA
[4] Florida State Univ, Dept Biol Sci, B-157, Tallahassee, FL 32306 USA
来源
ECOSPHERE | 2017年 / 8卷 / 04期
基金
加拿大自然科学与工程研究理事会; 美国国家科学基金会;
关键词
bipartite; evolution; interaction intimacy; modularity; nestedness; phylogenetic interaction structure; FOOD WEBS; POLLINATION; NESTEDNESS; DIVERSIFICATION; ARCHITECTURE; CONSTRAINTS; MODULARITY; STABILITY; SPECIALIZATION; BIODIVERSITY;
D O I
10.1002/ecs2.1798
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
One of the major challenges in evolutionary ecology is to understand how coevolution shapes species interaction networks. Important topological properties of networks such as nestedness and modularity are thought to be affected by coevolution. However, there has been no test whether coevolution does, in fact, lead to predictable network structure. Here, we investigate the structure of simulated bipartite networks generated under different modes of coevolution. We ask whether evolutionary processes influence network structure and, furthermore, whether any emergent trends are influenced by the strength or "intimacy" of the species interactions. We find that coevolution leaves a weak and variable signal on network topology, particularly nestedness and modularity, which was not strongly affected by the intimacy of interactions. Our findings indicate that network metrics, on their own, should not be used to make inferences about processes underlying the evolutionary history of communities. Instead, a more holistic approach that combines network approaches with traditional phylogenetic and biogeographic reconstructions is needed.
引用
收藏
页数:15
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