Institutional Repository of Key Laboratory of Coastal Zone Environmental Processes, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences (KLCEP)
| Soil Quality Assessment Based on a Minimum Data Set: A Case Study of a County in the Typical River Delta Wetlands | |
Jiang, Mingliang1,2; Xu, Ligang1; Chen, Xiaobing3 ; Zhu, Hua1,2; Fan, Hongxiang1
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| 发表期刊 | SUSTAINABILITY
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| 2020-11-01 | |
| 卷号 | 12期号:21页码:21 |
| 关键词 | evaluation indicator screening external environment soil quality assessment soil quality management |
| DOI | 10.3390/su12219033 |
| 通讯作者 | Xu, Ligang(lgxu@niglas.ac.cn) ; Chen, Xiaobing(xbchen@yic.ac.cn) |
| 英文摘要 | Purpose: The Yellow River delta boasts rich land resources but lacks fresh water and exhibits poor natural conditions. To rationally develop and utilize the land resources therein, it is necessary to evaluate the soil quality. Methods: Adopting specific screening conditions, principal component analysis (PCA) was used to construct a minimum data set (MDS) from 10 soil indicators. Then, a complete soil quality evaluation index system of the Yellow River delta was developed. The soil quality comprehensive index (SQI) method was used to assess the soil quality in the Kenli District, and the soil quality grades and spatial distribution were analyzed. Results: (1) The average SQI of the Kenli District is 0.523, and the best soil quality is concentrated near the Yellow River, especially in Huanghekou town. (2) The normalized difference vegetation index was positively correlate with SQI, whereas Dr (nearest distance between the sampling site and Yellow River) and Ds (nearest distance between the sampling site and Bohai Sea) were negatively correlated with SQI. Elev (sampling site elevation) was not correlated with SQI. (3) The SQI of agricultural planting is greater than that of the natural land type and significantly greater than that of nudation. The main factors limiting farmland soil quality are SK (water-soluble potassium) and pH, whereas the factor limiting the natural land type are the soil nutrient indicators. Conclusions: To improve soil quality and develop and utilize land resources, the towns should adopt systematic land development/utilization methods based on local conditions. These results have important guiding significance and practical value for the more objective and accurate evaluation of soil quality in coastal areas and the development and utilization of land resources. |
| 资助机构 | National Key Research and Development Program of China ; National Natural Science Foundation of China ; Special Fund for Key R&D Program of Shandong ; STS Key Projects of the Chinese Academy of Sciences ; Science and Technology Planning Project of Qinghai Province ; Nanjing Institute of Geography Limnology |
| 收录类别 | SCI |
| 语种 | 英语 |
| 关键词[WOS] | LAND-USE ; PRODUCTION SYSTEMS ; COASTAL WETLANDS ; MANAGEMENT ; INDICATORS ; CHINA ; FARMLAND ; INDEXES ; RESPIRATION ; DEGRADATION |
| 研究领域[WOS] | Science & Technology - Other Topics ; Environmental Sciences & Ecology |
| WOS记录号 | WOS:000589248800001 |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.yic.ac.cn/handle/133337/28324 |
| 专题 | 中国科学院海岸带环境过程与生态修复重点实验室 海岸带生物学与生物资源利用重点实验室_海岸带生物学与生物资源保护实验室 中国科学院海岸带环境过程与生态修复重点实验室_海岸带环境过程实验室 |
| 通讯作者 | Xu, Ligang; Chen, Xiaobing |
| 作者单位 | 1.Chinese Acad Sci, Nanjing Inst Geog & Limnol, Key Lab Watershed Geog Sci, Nanjing 210008, Peoples R China 2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China 3.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Environm Proc & Ecol Remediat, Yantai 264003, Peoples R China |
| 推荐引用方式 GB/T 7714 | Jiang, Mingliang,Xu, Ligang,Chen, Xiaobing,et al. Soil Quality Assessment Based on a Minimum Data Set: A Case Study of a County in the Typical River Delta Wetlands[J]. SUSTAINABILITY,2020,12(21):21. |
| APA | Jiang, Mingliang,Xu, Ligang,Chen, Xiaobing,Zhu, Hua,&Fan, Hongxiang.(2020).Soil Quality Assessment Based on a Minimum Data Set: A Case Study of a County in the Typical River Delta Wetlands.SUSTAINABILITY,12(21),21. |
| MLA | Jiang, Mingliang,et al."Soil Quality Assessment Based on a Minimum Data Set: A Case Study of a County in the Typical River Delta Wetlands".SUSTAINABILITY 12.21(2020):21. |
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