Soil quality assessment in Yellow River Delta: Establishing a minimum data set and fuzzy logic model
文献类型：期刊论文
| 作者 | Wu, Chunsheng; Liu, Gaohuan ; Huang, Chong; Liu, Qingsheng
|
| 刊名 | GEODERMA
 |
| 出版日期 | 2019-01-15 |
| 卷号 | 334页码:82-89 |
| 关键词 | Yellow River Delta Minimum data set Principal component analysis Soil quality assessment Fuzzy logic model |
| ISSN号 | 0016-7061 |
| DOI | 10.1016/j.geoderma.2018.07.045 |
| 通讯作者 | Liu, Gaohuan(liugh@lreis.ac.cn) |
| 英文摘要 | The Yellow River Delta has abundant land resources, but the land exhibits heavy degeneration because of long-term exposure to harsh natural conditions and improper human activities, and the soil quality is poor in some areas. All these factors have adversely affected agricultural development and ecological protection in the Yellow River Delta. This study selected multiple physical and chemical indicators and used principal component analysis (PCA) to construct a minimum data set (MDS) to determine a comprehensive set of indicators for assessing soil quality in the Yellow River Delta. Moreover, a fuzzy logic model was used to assess soil quality and analyze the spatial distribution of the primary land use types in different soil quality grades. The results indicate that the MDS includes six soil indicators: total nitrogen (TN), available phosphorus (AP), available potassium (AK), soil organic matter (SOM), soil salinity (SS) and pH. According to the spatial distribution maps of the indicators, SS gradually declined from the coast to the inland areas, while TN and AP had opposite characteristics. AK and pH were evenly distributed around the study area, and SOM was highest in the center and gradually declined toward the edge of the study area. The soil quality was higher in inland areas than in coastal areas, and most of the study area was classified as grade III. Most of the farmland, forest, and garden plots were distributed in high-grade soil levels, but some of these plots were distributed in areas classified as grades V or VI. Many areas with high soil quality were unused, which indicated that the land resources of the study area should be planned reasonably. |
| WOS关键词 | GEOGRAPHICALLY WEIGHTED REGRESSION ; PRODUCTION SYSTEMS ; LAND ; CHINA ; INDICATORS ; INDEX ; DEGRADATION ; RANGELANDS ; FARMLAND ; WASTE |
| 资助项目 | National Natural Science Foundation of China[41661144030] ; National Natural Science Foundation of China[41561144012] |
| WOS研究方向 | Agriculture |
| 语种 | 英语 |
| WOS记录号 | WOS:000447116100011 |
| 出版者 | ELSEVIER SCIENCE BV |
| 资助机构 | National Natural Science Foundation of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/52827]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Liu, Gaohuan |
| 作者单位 | Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wu, Chunsheng,Liu, Gaohuan,Huang, Chong,et al. Soil quality assessment in Yellow River Delta: Establishing a minimum data set and fuzzy logic model[J]. GEODERMA,2019,334:82-89. |
| APA | Wu, Chunsheng,Liu, Gaohuan,Huang, Chong,&Liu, Qingsheng.(2019).Soil quality assessment in Yellow River Delta: Establishing a minimum data set and fuzzy logic model.GEODERMA,334,82-89. |
| MLA | Wu, Chunsheng,et al."Soil quality assessment in Yellow River Delta: Establishing a minimum data set and fuzzy logic model".GEODERMA 334(2019):82-89. |
入库方式： OAI收割
来源：地理科学与资源研究所
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