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Environmental driving factors affecting plant biomass in natural grassland in the Loess Plateau, China
Yang, Yang1; Dou, Yanxing2; An, Shaoshan1,2; An, SS (reprint author), Northwest A&F Univ, State Key Lab Soil Eros & Dryland Farming Loess P, Rd Xinong 26, Yangling 712100, Shaanxi, Peoples R China.
文章类型Article
2017
发表期刊ECOLOGICAL INDICATORS
ISSN1470-160X
通讯作者邮箱shan@ms.iswc.ac.cn
卷号82页码:250-259
摘要Plant biomass is a key parameter for estimating terrestrial ecosystem carbon (C) stocks, which varies greatly as a result of specific environmental conditions. Here, we tested environmental driving factors affecting plant biomass in natural grassland in the Loess Plateau, China. We found that above-ground biomass (AGB) and below ground biomass (BGB) had a similar change trend in the order of Stipa bungeana > Leymus secalinus > Artemisia sacrorum > Artemisia scoparia, whereas shoot ratio (R/S) displayed an opposite change trend. There was a significantly positive linear relationship between the AGB and BGB, regardless of plant species (p < 0.05). Furthermore, more than 50% of the AGB were found in 20-50 cm of plant height in Compositae plants (A. sacrorum, A. scoparia), whereas over 60% of the AGB were found in 20-80 cm of plant height in Gramineae plants (S. bungeana, L. secalinus). For each plant species, more than 75% of the BGB was distributed in 0-10 cm soil depth, and 20% was distributed in 10-20 cm soil depth, while less than 5% was distributed in 20-40 cm soil depth. Further, AGB and BGB were highly affected by environmental driving factors (soil properties, plant traits, topographic properties), which were identified by the structural equation model (SEM) and the generalized additive models (GAMs). In addition, AGB was directly affected by plant traits, and BGB was directly affected by soil properties, and soil properties associated with plant traits that affected AGB and BGB through interactive effects were 9.12% and 3.59%, respectively. However, topographic properties had a weak influence on ABG and BGB (as revealed by the lowest total pathway effect). Besides, soil organic carbon (SOC), soil microbial biomass carbon (MBC), and plant height had a higher relative contribution to AGB and BGB. Our results indicate that environmental driving factors affect plant biomass in natural grassland in the Loess Plateau.
关键词Plant Biomass Shoot Ratio Natural Grassland Environmental Driving Factors Structural Equation Model (Sem) Loess Plateau
学科领域Biodiversity & Conservation ; Environmental Sciences & Ecology
DOI10.1016/j.ecolind.2017.07.010
URL查看原文
收录类别SCI
出版地AMSTERDAM
语种英语
WOS记录号WOS:000417551700025
出版者ELSEVIER SCIENCE BV
项目资助者National Natural Sciences Foundation of China [41671280]; Key Projects in the National Science & Technology Pillar Program [2015BAC01B01]; State Key Laboratory of Soil Erosion and Dryland Farming in the Loess Plateau [A314021403-C6] ; National Natural Sciences Foundation of China [41671280]; Key Projects in the National Science & Technology Pillar Program [2015BAC01B01]; State Key Laboratory of Soil Erosion and Dryland Farming in the Loess Plateau [A314021403-C6]
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被引频次:6[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符sbir.nwafu.edu.cn/handle/361005/7891
专题水保所科研产出--SCI_2017--SCI
通讯作者An, SS (reprint author), Northwest A&F Univ, State Key Lab Soil Eros & Dryland Farming Loess P, Rd Xinong 26, Yangling 712100, Shaanxi, Peoples R China.
作者单位1.Northwest A&F Univ, Coll Nat Resource & Environm, Yangling 712100, Peoples R China
2.Northwest A&F Univ, State Key Lab Soil Eros & Dryland Farming Loess P, Rd Xinong 26, Yangling 712100, Shaanxi, Peoples R China
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Yang, Yang,Dou, Yanxing,An, Shaoshan,et al. Environmental driving factors affecting plant biomass in natural grassland in the Loess Plateau, China[J]. ECOLOGICAL INDICATORS,2017,82:250-259.
APA Yang, Yang,Dou, Yanxing,An, Shaoshan,&An, SS .(2017).Environmental driving factors affecting plant biomass in natural grassland in the Loess Plateau, China.ECOLOGICAL INDICATORS,82,250-259.
MLA Yang, Yang,et al."Environmental driving factors affecting plant biomass in natural grassland in the Loess Plateau, China".ECOLOGICAL INDICATORS 82(2017):250-259.
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