IB-CAS  > 植被与环境变化国家重点实验室
Community-weighted mean traits play crucial roles in driving ecosystem functioning along long-term grassland restoration gradient on the Loess Plateau of China
Jing, Guanghua; Cheng, Jimin; Su, Jishuai1; Wei, Lin2; Hu, Tianming; Li, Wei3
2019
发表期刊JOURNAL OF ARID ENVIRONMENTS
ISSN0140-1963
卷号165页码:97-105
摘要The relationship between biodiversity and ecosystem functioning (BEF) is a central issue in ecology. Recent empirical and theoretical studies have shown that ecosystem functioning is strongly affected by the community-weighted mean (CWM) traits and functional traits diversity (FTD). However, little is known about the relative roles of CWM traits and FTD in explaining ecosystem functioning along a grassland restoration gradient on the Loess Plateau of China. We set up a grassland restoration gradient on the Loess Plateau of China applying the chronosequence approach. Using community biomass and soil carbon stock (SCS) as proxies for ecosystem functioning, we measured 13 functional traits on 28 common plant species and identified the dominant functional traits through principal component analysis (PCA). Our results showed that: (1) Specific leaf area (SLA), mature plant height (MPH) and leaf dry matter content (LDMC) loaded on separate principle components, which could be regarded as dominant functional traits to assess ecosystem functioning. (2) The variation of species diversity was not obvious, but FTD changed significantly along the restoration gradient. Following initial increases, FTD, CWM-SLA and SCS then declined, with the threshold occurring at the 18-year restoration. (3) Community biomass increased significantly through more biomass allocation to the below-ground in the latter stage of restoration. Community biomass was significantly correlated with CWM-MPH while SCS was positively correlated with CWM-SLA. We conclude that community-level functional traits are better than species diversity and FTD in predicting ecosystem functioning, and specifically restoration for 18 years could be the turning point for the degraded grassland ecosystem on the Loess Plateau of China.
关键词Plant diversity Functional trait Mass ratio hypothesis Ecosystem functioning The loess plateau
学科领域Ecology ; Environmental Sciences
DOI10.1016/j.jaridenv.2019.01.018
收录类别SCI
语种英语
WOS关键词GRAZING EXCLUSION ; SOIL CARBON ; PRODUCTIVITY RELATIONSHIPS ; ABOVEGROUND BIOMASS ; SPECIES-DIVERSITY ; STORAGE ; BIODIVERSITY ; RESPONSES ; SEQUESTRATION ; SUCCESSION
WOS研究方向Environmental Sciences & Ecology
WOS记录号WOS:000469155300012
出版者ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
文献子类Article
出版地LONDON
EISSN1095-922X
资助机构National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [41601586] ; National Key Research and Development Program of China [2016YFC0500700]
作者邮箱liwei2013@nwsuaf.edu.cn
引用统计
被引频次:13[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ibcas.ac.cn/handle/2S10CLM1/19421
专题植被与环境变化国家重点实验室
作者单位1.Northwest A&F Univ, Coll Grassland & Agr, Yangling 712100, Shaanxi, Peoples R China
2.Chinese Acad Sci, Inst Bot, Beijing 100093, Peoples R China
3.Henan Agr Univ, Coll Forestry, Zhengzhou 450002, Henan, Peoples R China
4.Northwest A&F Univ, Inst Soil & Water Convers, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling 712100, Shaanxi, Peoples R China
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GB/T 7714
Jing, Guanghua,Cheng, Jimin,Su, Jishuai,et al. Community-weighted mean traits play crucial roles in driving ecosystem functioning along long-term grassland restoration gradient on the Loess Plateau of China[J]. JOURNAL OF ARID ENVIRONMENTS,2019,165:97-105.
APA Jing, Guanghua,Cheng, Jimin,Su, Jishuai,Wei, Lin,Hu, Tianming,&Li, Wei.(2019).Community-weighted mean traits play crucial roles in driving ecosystem functioning along long-term grassland restoration gradient on the Loess Plateau of China.JOURNAL OF ARID ENVIRONMENTS,165,97-105.
MLA Jing, Guanghua,et al."Community-weighted mean traits play crucial roles in driving ecosystem functioning along long-term grassland restoration gradient on the Loess Plateau of China".JOURNAL OF ARID ENVIRONMENTS 165(2019):97-105.
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