Chengjing Liu
Biographic Data
| ID | 7188109 |
|---|---|
| NAME | Chengjing Liu |
| GIVEN NAMES | Chengjing |
| FAMILY NAME | Liu |
| SIGNATURE | LIU C |
| AFFILIATIONS | Faculty of Geography Yunnan Normal University Kunming PR China |
| ORCID | 0000-0003-0836-8443 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Using a settlement connectivity‐based framework to map the farmland abandonment risk
Farmland abandonment is a gradual, complex, and fragmented process that varied with time and space. How to identify the abandonment‐risk of farmland with a spatial explicit way is a challenge and a key step toward the efficient management and sustainability of regional agriculture. This paper introduced the quantification method of connectivity from landscape ecology, took the rural settlements as the source patches that farmers moved out with ma…
Genetic diversity of 23 Y-STR loci of the Lisu ethnic minority residing in Chuxiong Yi Autonomous Prefecture, Yunnan province, Southwest China
This is the first report on Y-STR population data for the Chinese Lisu population. These data would be valuable for forensic applications
No prominent works on this page.
Using a settlement connectivity‐based framework to map the farmland abandonment risk
Farmland abandonment is a gradual, complex, and fragmented process that varied with time and space. How to identify the abandonment‐risk of farmland with a spatial explicit way is a challenge and a key step toward the efficient management and sustainability of regional agriculture. This paper introduced the quantification method of connectivity from landscape ecology, took the rural settlements as the source patches that farmers moved out with ma…
Genetic diversity of 23 Y-STR loci of the Lisu ethnic minority residing in Chuxiong Yi Autonomous Prefecture, Yunnan province, Southwest China
This is the first report on Y-STR population data for the Chinese Lisu population. These data would be valuable for forensic applications
Archaeology (2 works) · Geography (2 works) · Agriculture (1 work) · Allele (1 work) · Anthropology (1 work) · Biology (1 work) · Business (1 work) · China (1 work) · Chinese population (1 work) · Conservation, Biodiversity, and Resource Management (1 work)