Ecological traits reveal functional nestedness of bird communities in habitat islands: a global survey

嵌套 生态学 栖息地 空模式 生物 生境破碎化 地理
作者
Thomas J. Matthews,Catherine Sheard,H. Eden W. Cottee‐Jones,Tom P. Bregman,Joseph A. Tobias,Robert J. Whittaker
出处
期刊:Oikos [Wiley]
卷期号:124 (7): 817-826 被引量:62
标识
DOI:10.1111/oik.02370
摘要

The widespread destruction and fragmentation of natural habitats around the world creates a strong incentive to understand how species and communities respond to such pressures. The vast majority of research into habitat fragmentation has focused solely on species presence or absence. However, analyses using innovative functional methodologies offer the prospect of providing new insights into the key questions surrounding community structure in fragmented systems. A key topic in fragmentation research is nestedness (i.e. the ordered composition of species assemblages involving a significant tendency for packing of the presence–absence matrix into a series of proper subsets). To date, nestedness analyses have been concerned solely with nestedness of species membership. Here, we capitalize on the publication of a recent nestedness index (traitNODF) in which the branch lengths of functional dendrograms are incorporated into the standard NODF nestedness index. Using bird community data from 18 forest‐habitat‐island studies, and measurements of eight continuous functional traits from over 1000 bird species, we conduct the first synthetic analysis of nestedness from a functional perspective (i.e. a nestedness analysis which incorporates how similar species are in terms of their ecological traits). We use two null models to test the significance of any observed functional nestedness, and investigate the role of habitat island area in driving functional nestedness. We also determine whether functional nestedness is driven primarily by species composition or by differences in species’ traits. We found that the majority (94%) of datasets were functionally nested by island area when a permutation null model was used, although only 11–22% of datasets were significantly functionally nested when a more conservative fixed‐fixed null model was used. Species composition was always the most important driver of functional nestedness, but the effect of differences in species traits was occasionally quite large. Our results isolate the importance of island area in driving functional nestedness where it does occur and show that habitat loss results in the ordered loss of functional traits. This analysis demonstrates the potential insights that may derive from testing for ordered patterns of functional diversity. Synthesis The widespread fragmentation of natural habitats around the world creates a strong incentive to understand how ecological communities respond to such pressures. A key topic in this research agenda is nestedness; however, to date, nestedness analyses have been concerned solely with species presence or absence. Using data from 18 bird‐habitat‐island studies we conduct the first synthetic analysis of nestedness from a functional perspective (i.e. a nestedness analysis which incorporates how similar species are in terms of their ecological traits). Our findings suggest that many bird‐habitat island communities are significantly functionally nested, although our results were sensitive to the null model used. Our study demonstrates the benefits of testing for ordered patterns of functional diversity.
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
111发布了新的文献求助20
刚刚
chali48完成签到 ,获得积分10
刚刚
1秒前
2秒前
小丸子发布了新的文献求助10
4秒前
111完成签到,获得积分10
4秒前
科研通AI6.3应助jazzbank采纳,获得10
4秒前
4秒前
4秒前
尔曼完成签到,获得积分10
4秒前
无花果应助科研通管家采纳,获得10
5秒前
molihuakai应助科研通管家采纳,获得10
5秒前
丘比特应助科研通管家采纳,获得10
5秒前
5秒前
无花果应助自然易文采纳,获得10
5秒前
5秒前
Ava应助科研通管家采纳,获得10
5秒前
6秒前
Kao应助科研通管家采纳,获得10
6秒前
Owen应助科研通管家采纳,获得30
6秒前
liuzhuohao应助科研通管家采纳,获得10
6秒前
天天快乐应助科研通管家采纳,获得10
6秒前
老番茄发布了新的文献求助10
6秒前
小白I实验应助科研通管家采纳,获得10
6秒前
情怀应助ZY采纳,获得10
6秒前
6秒前
11414完成签到,获得积分10
6秒前
小二郎应助科研通管家采纳,获得10
6秒前
科研通AI6.4应助蕊蕊采纳,获得10
7秒前
9秒前
全班发布了新的文献求助10
9秒前
9秒前
CodeCraft应助安珊采纳,获得10
9秒前
moxiang发布了新的文献求助30
10秒前
10秒前
搜集达人应助Rita采纳,获得10
10秒前
10秒前
背后妙旋完成签到,获得积分10
10秒前
11秒前
present发布了新的文献求助10
12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
2026年中国辛酸癸酸聚乙二醇甘油酯行业市场现状调查及投资机会研判报告 1000
模型平均及其应用 900
Nondestructive Testing Handbook: Vol. 4, Thermal and Infrared Testing (IR), 4th ed 800
Évora na Idade Média 555
作者名:Kristopher P. Plain,悉尼大学的,目前只能查到其四篇论文,想找到其博士论文 550
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
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 7345287
求助须知:如何正确求助?哪些是违规求助? 8957486
关于积分的说明 19020875
捐赠科研通 6996759
什么是DOI,文献DOI怎么找? 3219926
关于科研通互助平台的介绍 2384874
邀请新用户注册赠送积分活动 2200201