A novel optimal data set approach for erosion-impacted soil quality assessments-A case-study of an agricultural catchment in the Chernozem region of Northeast China
文献类型：期刊论文
| 作者 | Zhang, Jiaqiong1,2; Zheng, Fenli1,2; Li, Zhi1,3; Feng, Zhizhen1 |
| 刊名 | LAND DEGRADATION & DEVELOPMENT
 |
| 出版日期 | 2022-04-30 |
| 卷号 | 33期号:7页码:1062-1075 |
| 关键词 | Cs-137 technique erosion and deposition minimum data set optimal data set soil quality index |
| ISSN号 | 1085-3278 |
| DOI | 10.1002/ldr.4231 |
| 通讯作者 | Zheng, Fenli(flzh@ms.iswc.ac.cn) |
| 英文摘要 | Because soil erosion is a primary cause of land degradation globally, it has received increasing attention in food production regions, such as the Chernozem region of Northeast China. This study assessed soil quality under soil erosion degradation using a novel optimal data set (ODS) approach and a comparative minimum data set (MDS) approach to derive soil quality indices (SQIs) within an agricultural watershed in Heilongjiang Province, China. The selection of SQIs was contingent on 15 physical, chemical, and microbial properties measured at 52 grids. Soil erosion rates were determined using the Cs-137 technique. Results showed that SQIs derived from the ODS and MDS approaches were strongly correlated (r = 0.91, p < 0.01). However, soil quality inferred by SQIs varied significantly between erosion and deposition sites, namely, increasing from upstream to midstream to downstream areas. Changes in SQIs and erosion rates exhibited spatially opposing trends, reflecting the impact of soil erosion on soil quality, which was also confirmed by comparing representative soil properties at erosion and deposition sites. The ODS approach using the optimal fingerprinting factor screening procedure of the composite fingerprinting approach is a cause-related method that uses a relatively strict indicator selection procedure, which mainly includes sample groupings, Kruskal-Wallis H test, discriminant function analysis, and conservative behaviour tests of factors. Thus, it can theoretically obtain more reliable results compared to MDS. Further studies are nevertheless needed to assess the feasibility of this novel approach in other cases. |
| WOS关键词 | MINIMUM DATA SET ; SEDIMENT SOURCES ; SPATIAL-DISTRIBUTION ; SUSPENDED SEDIMENT ; CS-137 TECHNIQUE ; ESTIMATE RATES ; LOESS PLATEAU ; WIND EROSION ; INDICATORS ; DEGRADATION |
| 资助项目 | National Key R&D Program of China[2016YFE0202900] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA23060502] |
| WOS研究方向 | Environmental Sciences & Ecology ; Agriculture |
| 语种 | 英语 |
| WOS记录号 | WOS:000773266300001 |
| 出版者 | WILEY |
| 资助机构 | National Key R&D Program of China ; Strategic Priority Research Program of the Chinese Academy of Sciences |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/173199]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Zheng, Fenli |
| 作者单位 | 1.Northwest A&F Univ, Inst Water & Soil Conservat, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling 712100, Shaanxi, Peoples R China 2.Chinese Acad Sci & Minist Water Resources, Inst Soil & Water Conservat, Yangling, Shaanxi, Peoples R China 3.Northwest A&F Univ, Coll Nat Resources & Environm, Yangling, Shaanxi, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhang, Jiaqiong,Zheng, Fenli,Li, Zhi,et al. A novel optimal data set approach for erosion-impacted soil quality assessments-A case-study of an agricultural catchment in the Chernozem region of Northeast China[J]. LAND DEGRADATION & DEVELOPMENT,2022,33(7):1062-1075. |
| APA | Zhang, Jiaqiong,Zheng, Fenli,Li, Zhi,&Feng, Zhizhen.(2022).A novel optimal data set approach for erosion-impacted soil quality assessments-A case-study of an agricultural catchment in the Chernozem region of Northeast China.LAND DEGRADATION & DEVELOPMENT,33(7),1062-1075. |
| MLA | Zhang, Jiaqiong,et al."A novel optimal data set approach for erosion-impacted soil quality assessments-A case-study of an agricultural catchment in the Chernozem region of Northeast China".LAND DEGRADATION & DEVELOPMENT 33.7(2022):1062-1075. |
入库方式： OAI收割
来源：地理科学与资源研究所
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