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 宏观经济学 量子力学
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
ytong完成签到,获得积分10
刚刚
直率的彤发布了新的文献求助10
1秒前
陈陈完成签到 ,获得积分10
1秒前
万能图书馆应助HUA采纳,获得30
2秒前
e394282438完成签到,获得积分10
2秒前
老迟到的访文完成签到,获得积分10
4秒前
4秒前
细心梦竹完成签到,获得积分10
4秒前
ZYQ完成签到 ,获得积分10
5秒前
鲤鱼青雪完成签到,获得积分10
5秒前
含蓄听南完成签到 ,获得积分10
5秒前
诚心桐完成签到,获得积分10
5秒前
落落完成签到,获得积分10
6秒前
科研顺利完成签到,获得积分10
6秒前
聂落雁完成签到,获得积分10
7秒前
ZS完成签到,获得积分10
8秒前
外向的百川完成签到 ,获得积分10
8秒前
贪玩火锅完成签到 ,获得积分10
8秒前
端庄亦巧完成签到 ,获得积分10
9秒前
micaixing2006完成签到,获得积分10
9秒前
陶辞完成签到,获得积分10
10秒前
Rondab应助前行僧采纳,获得10
10秒前
123发布了新的文献求助10
10秒前
哈哈哈哈完成签到 ,获得积分10
11秒前
文静静柏发布了新的文献求助10
11秒前
sherry221完成签到,获得积分10
11秒前
直率的彤完成签到,获得积分10
11秒前
要减肥的访旋完成签到,获得积分10
12秒前
12秒前
wake完成签到,获得积分10
13秒前
QWE完成签到,获得积分10
14秒前
闫星宇完成签到,获得积分10
14秒前
务实的绝悟完成签到,获得积分10
14秒前
xiaohuhuan完成签到,获得积分10
14秒前
超级的妙晴完成签到 ,获得积分10
15秒前
哈哈完成签到 ,获得积分10
15秒前
hdh完成签到,获得积分10
16秒前
Chairs完成签到,获得积分0
16秒前
17秒前
GJL完成签到,获得积分10
17秒前
高分求助中
A new approach to the extrapolation of accelerated life test data 1000
Cognitive Neuroscience: The Biology of the Mind 1000
Technical Brochure TB 814: LPIT applications in HV gas insulated switchgear 1000
Immigrant Incorporation in East Asian Democracies 600
Nucleophilic substitution in azasydnone-modified dinitroanisoles 500
不知道标题是什么 500
A Preliminary Study on Correlation Between Independent Components of Facial Thermal Images and Subjective Assessment of Chronic Stress 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 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3968603
求助须知:如何正确求助?哪些是违规求助? 3513420
关于积分的说明 11168029
捐赠科研通 3248900
什么是DOI,文献DOI怎么找? 1794540
邀请新用户注册赠送积分活动 875187
科研通“疑难数据库(出版商)”最低求助积分说明 804676