Ecosystem carbon storage following different approaches to grassland restoration in south-eastern Horqin Sandy Land, northern China
文献类型:期刊论文
作者 | Yuan, Jiyou; Ouyang, Zhiyun![]() |
刊名 | GLOBAL ECOLOGY AND CONSERVATION
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出版日期 | 2021-04 |
卷号 | 26页码:- |
关键词 | Desertification Sparse afforestation Tree belt enclosure Ecosystem carbon storage Grassland restoration |
ISSN号 | 2351-9894 |
英文摘要 | Global climate change and extensive socio-economic development both act to decrease the ground cover in the semi-arid sandy grasslands of Horqin district, northern China. Loss of ground cover increases the direct exposure of the surface soil to erosion by strong windsda process that ultimately converts grassland into sandy desert. Three ways to restore such degraded lands through afforestation were evaluated in terms of total carbon stored in the restored ecosystems compared to that in the control. Total carbon comprised that stored in the biomass of trees, herbs, standing litter, and soil (to a depth of 100 cm). The three restoration treatments were (1) enclosing the grassland within a shelter belt of Populus x beijingensis (FG), (2) afforesting small but well-distributed patches within the grassland using Pinus sylvestris var. mongolica (MG), and (3) afforesting small but well distributed patches within the grassland using Ulmus pumila (UG). A plot of desertified sandy grassland in which the dominant species were Agriophyllum squarrosum (Linn.) Moq. and Cenchrus echinatus Linn. was used as the control (CK). The results show that total ecosystem carbon storage in FG, UG, and MG increased significantly over time in comparison with that in CK. After more than 20 years, all three grassland restoration approaches are expected to contribute greatly to global ecosystem carbon sequestration. The rank order of total ecosystem carbon storage content is: FG (104.29 t/ha) > MG (102.96 t/ha) > UG (92.24 t/ha) > CK (24.48 t/ha). Soil carbon storage in the 0-30 cm and 0-50 cm depth ranges accounted for 41.81-60.13% and 59.42-80.80% of the total soil pool, respectively, across all treatments. FG had the highest biomass carbon storage, which was linked to differences in tree species. The structure of the plant community created in these treatments was different from that found in natural stands of forest and in grasslands without trees or shrubs. All the three treatments are suitable for the restoration of moderately desertified sandy grasslands in south-eastern Horqin, northern China, depending on the availability of water and soil nutrients. The results of the present study highlight the importance of degraded grassland restoration programs in enhancing ecosystem carbon storage. (c) 2020 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
WOS研究方向 | Biodiversity Conservation ; Ecology |
源URL | [http://ir.rcees.ac.cn/handle/311016/45455] ![]() |
专题 | 生态环境研究中心_城市与区域生态国家重点实验室 |
作者单位 | 1.Yunnan Univ, Sch Ecol & Environm Sci, Kunming 650091, Yunnan, Peoples R China 2.Yunnan Univ, Yunnan Key Lab Plateau Mt Ecol & Restorat Degrade, Kunming 650091, Yunnan, Peoples R China 3.Chinese Acad Sci, Res Ctr Ecoenvironm Sci, State Key Lab Urban & Reg Ecol, Beijing 100085, Peoples R China 4.Chinese Acad Sci, Inst Subtrop Agr, Key Lab Agroecol Proc Subtrop Reg, Changsha 410125, Peoples R China |
推荐引用方式 GB/T 7714 | Yuan, Jiyou,Ouyang, Zhiyun,Zheng, Hua,et al. Ecosystem carbon storage following different approaches to grassland restoration in south-eastern Horqin Sandy Land, northern China[J]. GLOBAL ECOLOGY AND CONSERVATION,2021,26:-. |
APA | Yuan, Jiyou,Ouyang, Zhiyun,Zheng, Hua,&Su, Yirong.(2021).Ecosystem carbon storage following different approaches to grassland restoration in south-eastern Horqin Sandy Land, northern China.GLOBAL ECOLOGY AND CONSERVATION,26,-. |
MLA | Yuan, Jiyou,et al."Ecosystem carbon storage following different approaches to grassland restoration in south-eastern Horqin Sandy Land, northern China".GLOBAL ECOLOGY AND CONSERVATION 26(2021):-. |
入库方式: OAI收割
来源:生态环境研究中心
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