Quantitative assessment of biocrust distribution patterns using landscape indices benefits the study of their soil conservation functions
文献类型：期刊论文
| 作者 | Ji, Jingyi2,4,5; Zhao, Yunge3,4,5; Zhang, Wantao3; Gu, Kangmin1; Li, Wen1 |
| 刊名 | GEODERMA
 |
| 出版日期 | 2022 |
| 卷号 | 429页码:9 |
| 关键词 | Biocrust patch Grain size Heterogeneity Landscape ecology Spatial distribution Loess Plateau |
| ISSN号 | 0016-7061 |
| DOI | 10.1016/j.geoderma.2022.116257 |
| 通讯作者 | Zhao, Yunge(zyunge@ms.iswc.ac.cn) |
| 英文摘要 | Biological soil crusts (biocrusts) are widely distributed covers and show obvious differences in coverage, composition, and distribution patterns under field conditions. To date, it is still difficult to assess the ecological function of biocrusts in different distribution patterns due to challenges in quantitatively assessing their patterns. Landscape ecology inspired us to characterize and describe landscape distribution patterns through a series of indices. Accordingly, this study developed a method to quantitatively characterize the distribution pattern of biocrusts at the plot scale. Our results demonstrated that optimum grain size selection is important. The first inflection point determines the optimum grain size of 5 mm. Based on this grain size, four landscape indices were selected out of fifteen, including the percentage of the landscape (PLAND), edge density (ED), patch cohesion index (COHESION), and splitting index (SPLIT), which represented 91.6 % of the total distribution characteristic information of biocrusts within 58 squares of 1.5 x 1.5 m. The four landscape indices were validated for applicability by describing biocrust characteristics for various patterns, scales, and coverage levels both in the laboratory and field plots. This method for quantitatively assessing the distribution characteristics of biocrusts lays a foundation for the study of the relationship between the distribution pattern of biocrusts and ecological functions and processes. |
| WOS关键词 | HILLY LOESS PLATEAU ; CRUSTS ; SCALE ; REGION ; EROSION ; RUNOFF ; INFILTRATION ; SENSITIVITY ; ERODIBILITY ; DIVERSITY |
| 资助项目 | National Natural Science Foundation of China[41830758] ; National Natural Science Foundation of China[41907056] ; Interdisciplinary Key Laboratory Cooperation Research Project of West Light of the Chinese Academy of Sciences |
| WOS研究方向 | Agriculture |
| 语种 | 英语 |
| WOS记录号 | WOS:000898489200001 |
| 出版者 | ELSEVIER |
| 资助机构 | National Natural Science Foundation of China ; Interdisciplinary Key Laboratory Cooperation Research Project of West Light of the Chinese Academy of Sciences |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/188273]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Zhao, Yunge |
| 作者单位 | 1.Northwest A&F Univ, Coll Nat Resources & Environm, 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.Chinese Acad Sci & Minist Water Resources, Inst Soil & Water Conservat, Yangling 712100, Shaanxi, Peoples R China 5.Chinese Acad Sci & Minist Educ, Res Ctr Soil & Water Conservat & Ecol Environm, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling 712100, Shaanxi, Peoples R China |
| 推荐引用方式 GB/T 7714 | Ji, Jingyi,Zhao, Yunge,Zhang, Wantao,et al. Quantitative assessment of biocrust distribution patterns using landscape indices benefits the study of their soil conservation functions[J]. GEODERMA,2022,429:9. |
| APA | Ji, Jingyi,Zhao, Yunge,Zhang, Wantao,Gu, Kangmin,&Li, Wen.(2022).Quantitative assessment of biocrust distribution patterns using landscape indices benefits the study of their soil conservation functions.GEODERMA,429,9. |
| MLA | Ji, Jingyi,et al."Quantitative assessment of biocrust distribution patterns using landscape indices benefits the study of their soil conservation functions".GEODERMA 429(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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