The relative contribution of abundance and phylogeny to the structure of plant facilitation networks

作者
Miguel Verdú,Alfonso Valiente‐Banuet
出处
期刊:Oikos [Wiley]
卷期号:120 (9): 1351-1356 被引量:76
标识
DOI:10.1111/j.1600-0706.2011.19477.x
摘要

The structure of the real ecological networks is determined by multiple factors including neutral processes, the relative abundances of species, and the phylogenetic relationships of the interacting species. Previous efforts directed to analyze the relative contribution of these factors to network structure have not been able to fully incorporate the phylogenetic relationships between the interacting species. This limitation stems from the difficulty of predicting interaction probabilities based on the independent phylogenies of interacting species (e.g. plants and animals). This is not the case for plant facilitation networks, where nurse and facilitated species evolve in a common phylogeny (e.g. spermatophyte phylogeny). Facilitation networks are characterized by both high nestedness and interactions tending to occur between distantly related nurse and facilitated species. We evaluate the relative contribution of phylogeny and species abundance to explain both the frequency of observed interactions as well as the network structure in a real plant facilitation network at Tehuacán Valley (central Mexico). Our results show that the combined effects of phylogeny and species abundance were, by far, the best predictors of both the frequency of the interactions observed in this community and the parameters (nestedness and connectance) defining the network structure. This finding indicates that species interact proportionally to both their phylogenetic distances and abundances simultaneously. In short, the phylogenetic history of species, acting together with other ecological factors, has a pervasive influence in the structure of ecological networks.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
恰恰恰完成签到,获得积分10
1秒前
2秒前
sun发布了新的文献求助10
3秒前
Richard发布了新的文献求助10
3秒前
jackcai完成签到,获得积分10
4秒前
4秒前
5秒前
xiaoai完成签到 ,获得积分10
9秒前
jasmine完成签到 ,获得积分10
9秒前
ekun发布了新的文献求助10
10秒前
10秒前
飞辉灰完成签到,获得积分20
12秒前
12秒前
14秒前
傲娇访风完成签到,获得积分10
15秒前
研友_Ze2oV8完成签到 ,获得积分10
16秒前
猎人日记完成签到,获得积分10
17秒前
FashionBoy应助tough_cookie采纳,获得10
18秒前
张涛发布了新的文献求助10
18秒前
JYM完成签到,获得积分10
18秒前
20秒前
平淡小白菜完成签到,获得积分10
20秒前
ma121完成签到,获得积分10
24秒前
24秒前
呼延盼秋完成签到,获得积分20
25秒前
缥缈不言发布了新的文献求助10
27秒前
七七完成签到 ,获得积分10
30秒前
le完成签到,获得积分20
31秒前
殷勤的紫槐应助愉快的真采纳,获得300
32秒前
淡然电脑完成签到,获得积分10
33秒前
33秒前
李一茗完成签到 ,获得积分10
33秒前
完美世界应助奋斗老鼠采纳,获得10
33秒前
小白做科研关注了科研通微信公众号
34秒前
qlmian完成签到,获得积分10
37秒前
小黄完成签到 ,获得积分10
37秒前
学术文献互助完成签到,获得积分0
38秒前
小马甲应助小白采纳,获得10
39秒前
39秒前
40秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Markov Chain Monte Carlo 5000
Weaponeering: An Introduction Fourth Edition, Volume 1 1000
Advanced Weaponeering Fourth Edition, Volume 2 1000
Evidence Summary. Injection (subcutaneous):op- timal administration 1000
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7494307
求助须知:如何正确求助?哪些是违规求助? 9085740
关于积分的说明 19377640
捐赠科研通 7106157
什么是DOI,文献DOI怎么找? 3249694
关于科研通互助平台的介绍 2419128
邀请新用户注册赠送积分活动 2235418