Plant community feedbacks and long-term ecosystem responses to multi-factored global change

生态系统 全球变化 植物群落 期限(时间) 生态学 生物 种间竞争 群落结构 生产力 环境资源管理 气候变化 环境科学 生态演替 经济 物理 量子力学 宏观经济学
作者
J. Adam Langley,Bruce A. Hungate
出处
期刊:Aob Plants [Oxford University Press]
卷期号:6: plu035-plu035 被引量:47
标识
DOI:10.1093/aobpla/plu035
摘要

While short-term plant responses to global change are driven by physiological mechanisms, which are represented relatively well by models, long-term ecosystem responses to global change may be determined by shifts in plant community structure resulting from other ecological phenomena such as interspecific interactions, which are represented poorly by models. In single-factor scenarios, plant communities often adjust to increase ecosystem response to that factor. For instance, some early global change experiments showed that elevated CO2 favours plants that respond strongly to elevated CO2, generally amplifying the response of ecosystem productivity to elevated CO2, a positive community feedback. However, most ecosystems are subject to multiple drivers of change, which can complicate the community feedback effect in ways that are more difficult to generalize. Recent studies have shown that (i) shifts in plant community structure cannot be reliably predicted from short-term plant physiological response to global change and (ii) that the ecosystem response to multi-factored change is commonly less than the sum of its parts. Here, we survey results from long-term field manipulations to examine the role community shifts may play in explaining these common findings. We use a simple model to examine the potential importance of community shifts in governing ecosystem response. Empirical evidence and the model demonstrate that with multi-factored change, the ecosystem response depends on community feedbacks, and that the magnitude of ecosystem response will depend on the relationship between plant response to one factor and plant response to another factor. Tradeoffs in the ability of plants to respond positively to, or to tolerate, different global change drivers may underlie generalizable patterns of covariance in responses to different drivers of change across plant taxa. Mechanistic understanding of these patterns will help predict the community feedbacks that determine long-term ecosystem responses.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
2秒前
陈宇航完成签到 ,获得积分10
3秒前
hazhuxixi发布了新的文献求助10
3秒前
xxfsx应助加菲丰丰采纳,获得10
3秒前
Jasper应助lxy采纳,获得10
3秒前
4秒前
浮游应助舒适的尔容采纳,获得10
4秒前
小马甲应助淡然紫霜采纳,获得10
5秒前
5秒前
8秒前
9秒前
Bizibili完成签到,获得积分10
9秒前
绘冰发布了新的文献求助10
9秒前
10秒前
xx完成签到,获得积分10
10秒前
hazhuxixi完成签到,获得积分10
11秒前
Kannan发布了新的文献求助10
11秒前
爆米花应助jsxok采纳,获得10
12秒前
12秒前
Al发布了新的文献求助10
12秒前
Meteor完成签到 ,获得积分10
12秒前
13秒前
正直沧海发布了新的文献求助10
14秒前
Carol_yl完成签到 ,获得积分10
15秒前
细心帽子完成签到,获得积分10
15秒前
学渣完成签到,获得积分10
15秒前
浮游应助ss采纳,获得10
16秒前
量子星尘发布了新的文献求助10
16秒前
kekekek发布了新的文献求助10
17秒前
17秒前
茂飞发布了新的文献求助10
19秒前
Akim应助科研通管家采纳,获得30
20秒前
MuMu完成签到,获得积分10
20秒前
邓佳鑫Alan应助科研通管家采纳,获得10
20秒前
l1844852731应助科研通管家采纳,获得10
21秒前
思源应助科研通管家采纳,获得200
21秒前
21秒前
21秒前
天天快乐应助科研通管家采纳,获得10
21秒前
xxfsx应助科研通管家采纳,获得20
21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
Alloy Phase Diagrams 1000
Introduction to Early Childhood Education 1000
2025-2031年中国兽用抗生素行业发展深度调研与未来趋势报告 1000
List of 1,091 Public Pension Profiles by Region 901
Item Response Theory 600
Historical Dictionary of British Intelligence (2014 / 2nd EDITION!) 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5425466
求助须知:如何正确求助?哪些是违规求助? 4539502
关于积分的说明 14168309
捐赠科研通 4457101
什么是DOI,文献DOI怎么找? 2444422
邀请新用户注册赠送积分活动 1435337
关于科研通互助平台的介绍 1412740