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.

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
和谐一斩完成签到,获得积分10
刚刚
1秒前
粥粥发布了新的文献求助10
1秒前
1秒前
1秒前
镜哥完成签到,获得积分10
2秒前
cxz关闭了cxz文献求助
2秒前
晴天完成签到,获得积分20
2秒前
上官若男应助mylove采纳,获得10
2秒前
赘婿应助XXXXX采纳,获得10
3秒前
充电宝应助吉吉国王采纳,获得10
3秒前
华仔应助迅速钥匙采纳,获得10
3秒前
3秒前
滨滨有礼发布了新的文献求助10
3秒前
3秒前
infinite完成签到 ,获得积分10
4秒前
4秒前
北极星发布了新的文献求助10
5秒前
充电宝应助EVEN采纳,获得10
5秒前
欧尼完成签到,获得积分10
6秒前
6秒前
晴天发布了新的文献求助10
6秒前
斯文败类应助1111采纳,获得10
6秒前
领导范儿应助一口蛋黄苏采纳,获得10
6秒前
shuzi完成签到,获得积分10
7秒前
FashionBoy应助坤坤采纳,获得10
7秒前
7秒前
7秒前
充电宝应助gen采纳,获得10
7秒前
宇宙无敌超人应助今日采纳,获得10
8秒前
时来运转发布了新的文献求助10
8秒前
JasonYang完成签到,获得积分10
9秒前
9秒前
JamesPei应助仄言采纳,获得10
9秒前
9秒前
大个应助研友_08ozgZ采纳,获得10
9秒前
拉长的苡发布了新的文献求助10
10秒前
Cai完成签到,获得积分10
11秒前
尊敬语芙发布了新的文献求助10
12秒前
焦糖琥珀完成签到,获得积分10
12秒前
高分求助中
Lewis’s Child and Adolescent Psychiatry: A Comprehensive Textbook Sixth Edition 2000
Cronologia da história de Macau 1600
Treatment response-adapted risk index model for survival prediction and adjuvant chemotherapy selection in nonmetastatic nasopharyngeal carcinoma 1000
Lloyd's Register of Shipping's Approach to the Control of Incidents of Brittle Fracture in Ship Structures 1000
BRITTLE FRACTURE IN WELDED SHIPS 1000
Intentional optical interference with precision weapons (in Russian) Преднамеренные оптические помехи высокоточному оружию 1000
Atlas of Anatomy 5th original digital 2025的PDF高清电子版(非压缩版,大小约400-600兆,能更大就更好了) 1000
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 纳米技术 计算机科学 化学工程 生物化学 物理 复合材料 内科学 催化作用 物理化学 光电子学 细胞生物学 基因 电极 遗传学
热门帖子
关注 科研通微信公众号,转发送积分 6198119
求助须知:如何正确求助?哪些是违规求助? 8025512
关于积分的说明 16706806
捐赠科研通 5292067
什么是DOI,文献DOI怎么找? 2820255
邀请新用户注册赠送积分活动 1799887
关于科研通互助平台的介绍 1662487