Stability and species richness in complex communities

物种丰富度 生态学 通才与专种 人口 社区 理论(学习稳定性) 生物 生态系统 栖息地 人口学 社会学 计算机科学 机器学习
作者
Anthony R. Ives,Jennifer L. Klug,Kevin Gross
出处
期刊:Ecology Letters [Wiley]
卷期号:3 (5): 399-411 被引量:270
标识
DOI:10.1046/j.1461-0248.2000.00144.x
摘要

Using both numerical simulations and analytical methods, we investigate how the stability of ecological communities depends on the number of species they contain. To investigate complex communities, we construct communities from modular “subcommunities” that can have arbitrary community structure; e.g. subcommunities could consist of pairs of predator and prey species, trios of prey, specialist predator and generalist predator, or any collection of interacting species. By building entire communities from subcommunities, we can change the number of species in the community without changing community structure. We further suppose that species sharing the same ecological role in different subcommunities act additively on the per capita population growth rates of other species. Under these assumptions, the inter‐actions between species from different subcommunities have no effect on community‐level stability, measured by the variability in the combined densities of species sharing the same ecological role in different subcommunities. Furthermore, increasing species richness (i.e. the number of subcommunities comprising the community) increases community‐level stability only when it introduces species that respond differently to environmental fluctuations. Therefore, our results support the “insurance hypothesis” that species richness increases community‐level stability by insuring that some species in a community are tolerant of different environmental fluctuations.
最长约 10秒,即可获得该文献文件

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
vetgmy完成签到,获得积分10
刚刚
纸鸟发布了新的文献求助10
刚刚
niNe3YUE应助phy采纳,获得10
1秒前
加油吧科研完成签到,获得积分10
1秒前
聪明新筠完成签到,获得积分10
1秒前
2秒前
3秒前
liuwenjie应助LLLL采纳,获得10
3秒前
菜鸡上线发布了新的文献求助10
3秒前
Ava应助LLLL采纳,获得10
3秒前
HAL9000完成签到,获得积分10
4秒前
蓝莓橘子酱应助单薄凌晴采纳,获得10
4秒前
4秒前
LEGION应助晓槐采纳,获得10
4秒前
神勇的惜文完成签到,获得积分20
5秒前
华仔应助风清扬采纳,获得10
6秒前
6秒前
zhutae完成签到 ,获得积分10
6秒前
一行发布了新的文献求助20
6秒前
egg发布了新的文献求助10
8秒前
无花果应助林夕夕采纳,获得10
8秒前
8秒前
生物钟发布了新的文献求助10
8秒前
小八统治世界完成签到,获得积分10
9秒前
popdragon发布了新的文献求助10
9秒前
阔达的莫言完成签到,获得积分10
11秒前
老北京发布了新的文献求助10
11秒前
11秒前
今夕发布了新的文献求助20
11秒前
12秒前
老北京发布了新的文献求助10
12秒前
热心市民小杨应助溪泉采纳,获得10
12秒前
科研通AI6.3应助溪泉采纳,获得10
13秒前
13秒前
黄紫红完成签到 ,获得积分10
13秒前
14秒前
爆爆完成签到 ,获得积分20
14秒前
Akim应助萤火虫采纳,获得10
14秒前
充电宝应助加油吧科研采纳,获得10
14秒前
共享精神应助zhutae采纳,获得10
14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
Modern Epidemiology, Fourth Edition 5000
Handbook of pharmaceutical excipients, Ninth edition 5000
Digital Twins of Advanced Materials Processing 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
Polymorphism and polytypism in crystals 1000
Signals, Systems, and Signal Processing 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 生物化学 化学工程 物理 计算机科学 复合材料 内科学 催化作用 物理化学 光电子学 电极 冶金 基因 遗传学
热门帖子
关注 科研通微信公众号,转发送积分 6022608
求助须知:如何正确求助?哪些是违规求助? 7643263
关于积分的说明 16169884
捐赠科研通 5170921
什么是DOI,文献DOI怎么找? 2766913
邀请新用户注册赠送积分活动 1750251
关于科研通互助平台的介绍 1636941