中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Advantage of mixed trees in the trade-off between soil water storage and tree biomass: A meta-analysis from artificially planted forests in Chinese Loess Plateau

文献类型:期刊论文

作者Gong, Chen1,2; Tan, Qingyue4; Liu, Guobin1,2,3; Xu, Mingxiang1,2,3
刊名CATENA
出版日期2022-07-01
卷号214页码:9
关键词Tree species mixtures Monocultures Soil moisture Plant biomass Trade-offs Loess Plateau
ISSN号0341-8162
DOI10.1016/j.catena.2022.106232
通讯作者Xu, Mingxiang(xumx@nwsuaf.edu.cn)
英文摘要Afforestation is an effective measure to combat land degradation and mitigate climate change. However, afforestation tends to consume a tremendous amount of soil moisture while increasing vegetation biomass and coverage. Although convincing evidence indicates that mixed trees have higher resistance and resilience to climate change and natural disturbance than pure trees, it is unclear how tree mixtures affect the relationship between soil water storage and tree biomass. By conducting a meta-analysis of 86 observations from 27 studies, we showed that there was a trade-off between soil water storage and tree biomass in artificially planted trees on the Loess Plateau, with an average root mean square deviation (RMSD) value of 0.22. The RMSD value between soil water storage and tree biomass for mixed trees was significantly lower than that for pure trees, and the relative benefits of the trade-off were biased toward soil water storage. In dry areas (aridity index (AI) < 0.3), the RMSD value between soil water storage and tree biomass of artificially planted trees was the highest, and this value of mixed trees was significantly lower than that of pure trees. In terms of different plantation ages, the RMSD value between soil water storage and tree biomass for mixed trees was significantly lower than that for pure trees in plantations aged >20 years. Additionally, RMSD values between soil water storage and tree biomass under different afforestation patterns were negatively correlated with the initial water storage and soil organic carbon content. Our results show that tree mixtures optimize the trade-off between soil water storage and tree biomass in arid and semiarid areas.
WOS关键词DIFFERENT VEGETATION RESTORATION ; ECOSYSTEM SERVICES ; LITTER DECOMPOSITION ; ROBINIA-PSEUDOACACIA ; ABOVEGROUND BIOMASS ; NORTHERN SHAANXI ; ALPINE GRASSLAND ; ORGANIC-MATTER ; DIVERSITY ; CARBON
资助项目National Natural Science Foundation of China[42130717] ; National Natural Science Foundation of China[41771318] ; National Natural Science Foundation of China[41830758] ; National Key Research and Development Program of China[2017YFC0504601] ; National Key Research and Development Program of China[2017YFC0506503]
WOS研究方向Geology ; Agriculture ; Water Resources
语种英语
WOS记录号WOS:000788498100006
出版者ELSEVIER
资助机构National Natural Science Foundation of China ; National Key Research and Development Program of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/175194]  
专题中国科学院地理科学与资源研究所
通讯作者Xu, Mingxiang
作者单位1.Chinese Acad Sci & Minist Water Resources, Inst Soil & Water Conservat, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling 712100, Shaanxi, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Northwest A&F Univ, Inst Soil & Water Conservat, Yangling 712100, Shaanxi, Peoples R China
4.Northwest A&F Univ, Coll Forestry, Yangling 712100, Shaanxi, Peoples R China
推荐引用方式
GB/T 7714
Gong, Chen,Tan, Qingyue,Liu, Guobin,et al. Advantage of mixed trees in the trade-off between soil water storage and tree biomass: A meta-analysis from artificially planted forests in Chinese Loess Plateau[J]. CATENA,2022,214:9.
APA Gong, Chen,Tan, Qingyue,Liu, Guobin,&Xu, Mingxiang.(2022).Advantage of mixed trees in the trade-off between soil water storage and tree biomass: A meta-analysis from artificially planted forests in Chinese Loess Plateau.CATENA,214,9.
MLA Gong, Chen,et al."Advantage of mixed trees in the trade-off between soil water storage and tree biomass: A meta-analysis from artificially planted forests in Chinese Loess Plateau".CATENA 214(2022):9.

入库方式: OAI收割

来源:地理科学与资源研究所

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