Biodiversity alleviates the decrease of grassland multifunctionality under grazing disturbance: A global meta‐analysis

保护性放牧 生态系统 生物多样性 草原 濒危物种 放牧 生态学 环境科学 干旱 农林复合经营 牲畜 扰动(地质) 农学 生物 栖息地 古生物学
作者
Ruiyang Zhang,Dashuan Tian,Han Y. H. Chen,Eric W. Seabloom,Guodong Han,Shaopeng Wang,Guirui Yu,Zhaolei Li,Shuli Niu
出处
期刊:Global Ecology and Biogeography [Wiley]
卷期号:31 (1): 155-167 被引量:60
标识
DOI:10.1111/geb.13408
摘要

Abstract Aim Biodiversity drives the delivery of multiple ecosystem functions related to carbon and nutrient cycling (ecosystem multifunctionality, EMF), and biodiversity and ecosystem functioning are strongly threatened by intensive grazing in grasslands. However, it remains unclear how biodiversity regulates EMF changes in response to intensive grazing. Location Global. Time period From 1992 to 2018. Major taxa studied Grassland. Methods Here, we conducted a global synthesis using 373 paired observations from 90 published studies to address the responses of plant diversity, EMF and their relationships to grazing disturbance depending on grazing intensity, livestock type, grazing duration, and climatic aridity. Results Our results showed that EMF significantly decreased with increasing grazing intensity, but the negative EMF response was alleviated at high levels of plant diversity. The grazing‐induced changes in EMF increased linearly with the changes in plant diversity, with the slopes increasing by 78.9% from light to heavy grazing. In addition, the grazing‐induced decrease of EMF was stronger with longer grazing duration and more arid climates. Structural equation models suggested that grazing intensity reduced EMF largely via decreasing plant diversity, whereas upsizing livestock type promoted EMF by increasing plant diversity. Main conclusions This study highlights the key role of biodiversity in mediating EMF in response to intensifying grazing disturbance. We call for conservation of biodiversity to maintain grassland multifunctionality and services.
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
2秒前
幸福剑身发布了新的文献求助10
3秒前
花无双完成签到,获得积分0
6秒前
6秒前
8秒前
9秒前
立志做学霸完成签到,获得积分10
9秒前
幸福剑身完成签到,获得积分10
9秒前
10秒前
15秒前
duanqianqian发布了新的文献求助10
15秒前
16秒前
赘婿应助单薄的雁卉采纳,获得10
17秒前
17秒前
QQQ完成签到,获得积分10
18秒前
经又夏完成签到,获得积分10
18秒前
754完成签到,获得积分10
18秒前
是是是WQ发布了新的文献求助10
19秒前
小辉仔完成签到 ,获得积分10
19秒前
熬夜猝死的我完成签到,获得积分10
20秒前
myjf完成签到,获得积分10
22秒前
MLC发布了新的文献求助10
23秒前
23秒前
Cactus应助嗅犬采纳,获得10
25秒前
自信鬼神发布了新的文献求助30
28秒前
MLC完成签到,获得积分10
29秒前
29秒前
TYmtdjbYDD完成签到,获得积分10
29秒前
炙热果汁应助沉默的幻枫采纳,获得10
29秒前
灰灰成长中完成签到 ,获得积分10
31秒前
DXDXJX完成签到,获得积分10
31秒前
31秒前
32秒前
科研通AI2S应助繁荣的戾采纳,获得10
37秒前
句法生成发布了新的文献求助10
37秒前
xdmhv完成签到 ,获得积分10
38秒前
mm完成签到 ,获得积分10
40秒前
内向的醉蝶完成签到,获得积分20
40秒前
Lucas应助孙晓婷采纳,获得10
43秒前
孟古完成签到,获得积分20
45秒前
高分求助中
All the Birds of the World 4000
Production Logging: Theoretical and Interpretive Elements 3000
Les Mantodea de Guyane Insecta, Polyneoptera 2000
Am Rande der Geschichte : mein Leben in China / Ruth Weiss 1500
CENTRAL BOOKS: A BRIEF HISTORY 1939 TO 1999 by Dave Cope 1000
Machine Learning Methods in Geoscience 1000
Resilience of a Nation: A History of the Military in Rwanda 888
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 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3738341
求助须知:如何正确求助?哪些是违规求助? 3281845
关于积分的说明 10026652
捐赠科研通 2998667
什么是DOI,文献DOI怎么找? 1645324
邀请新用户注册赠送积分活动 782749
科研通“疑难数据库(出版商)”最低求助积分说明 749901