Global trait–environment relationships of plant communities

特质 地理 计算机科学 程序设计语言
作者
Helge Bruelheide,Jürgen Dengler,Oliver Purschke,Jonathan Lenoir,Borja Jiménez‐Alfaro,S.M. Hennekens,Zoltán Botta‐Dukát,Milan Chytrý,Richard Field,Florian Jansen,Jens Kattge,Valério D. Pillar,Franziska Schrodt,Miguel D. Mahecha,Robert K. Peet,Brody Sandel,Peter M. van Bodegom,Jan Altman,Esteban Álvarez‐Dávila,Mohammed Abu Sayed Arfin Khan
出处
期刊:Nature Ecology and Evolution [Nature Portfolio]
卷期号:2 (12): 1906-1917 被引量:695
标识
DOI:10.1038/s41559-018-0699-8
摘要

Plant functional traits directly affect ecosystem functions. At the species level, trait combinations depend on trade-offs representing different ecological strategies, but at the community level trait combinations are expected to be decoupled from these trade-offs because different strategies can facilitate co-existence within communities. A key question is to what extent community-level trait composition is globally filtered and how well it is related to global versus local environmental drivers. Here, we perform a global, plot-level analysis of trait-environment relationships, using a database with more than 1.1 million vegetation plots and 26,632 plant species with trait information. Although we found a strong filtering of 17 functional traits, similar climate and soil conditions support communities differing greatly in mean trait values. The two main community trait axes that capture half of the global trait variation (plant stature and resource acquisitiveness) reflect the trade-offs at the species level but are weakly associated with climate and soil conditions at the global scale. Similarly, within-plot trait variation does not vary systematically with macro-environment. Our results indicate that, at fine spatial grain, macro-environmental drivers are much less important for functional trait composition than has been assumed from floristic analyses restricted to co-occurrence in large grid cells. Instead, trait combinations seem to be predominantly filtered by local-scale factors such as disturbance, fine-scale soil conditions, niche partitioning and biotic interactions.
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
王小爱完成签到,获得积分10
刚刚
2秒前
3秒前
烟花应助科研雪瑞采纳,获得10
4秒前
ZXB应助Momiji采纳,获得40
4秒前
SciGPT应助现代的乐天采纳,获得10
6秒前
henny发布了新的文献求助10
6秒前
嘻嘻发布了新的文献求助10
7秒前
Orange应助威武的皮卡丘采纳,获得10
10秒前
871004188完成签到,获得积分10
10秒前
10秒前
Nole应助解决采纳,获得10
10秒前
sunzy完成签到,获得积分10
10秒前
yaoqige发布了新的文献求助10
11秒前
12秒前
13秒前
Zzz_Carlos完成签到 ,获得积分10
13秒前
Eddie完成签到,获得积分10
14秒前
bilibalaa发布了新的文献求助20
16秒前
uicanu应助黎黎采纳,获得10
20秒前
20秒前
20秒前
科研通AI6.3应助han采纳,获得10
21秒前
大模型应助谦让蛋挞采纳,获得10
21秒前
22秒前
23秒前
23秒前
lihua发布了新的文献求助10
26秒前
27秒前
28秒前
28秒前
温暖砖头发布了新的文献求助10
29秒前
孔孔发布了新的文献求助30
31秒前
大知闲闲发布了新的文献求助10
31秒前
科研通AI6.2应助han采纳,获得10
31秒前
小二郎应助shah采纳,获得10
32秒前
小六子完成签到,获得积分10
33秒前
谦让蛋挞发布了新的文献求助10
33秒前
37秒前
Lucas发布了新的文献求助10
39秒前
高分求助中
Markov Chain Monte Carlo 10000
(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
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 2000
Advanced Weaponeering Fourth Edition, Volume 2 1000
Weaponeering: An Introduction Fourth Edition, Volume 1 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 7554722
求助须知:如何正确求助?哪些是违规求助? 9137165
关于积分的说明 19529071
捐赠科研通 7146014
什么是DOI,文献DOI怎么找? 3260905
关于科研通互助平台的介绍 2427347
邀请新用户注册赠送积分活动 2249908