Dianji Fu
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Dianji Fu has a total of 5 co-authors. Here are the top co-authors by number of shared publications:
- Geping Luo
State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China
1 shared publication - Jiaojiao Li
School of Geographical Sciences and Tourism, Zhaotong University, Zhaotong 657000, China
1 shared publication - Ju Zhao
School of Geographical Sciences and Tourism, Zhaotong University, Zhaotong 657000, China
1 shared publication - Xiaotao Huang
School of Geographical Sciences and Tourism, Zhaotong University, Zhaotong 657000, China
1 shared publication - Yanzhao Gong
School of Geographical Sciences and Tourism, Zhaotong University, Zhaotong 657000, China
1 shared publication
Latest Publications
- Open Access
- 15 January 2026
- Published by MDPI AG in Sustainability
- Vol. 18 (2) , 914
Landscape Pattern Evolution in the Source Region of the Chishui River
Recognizing the evolution of landscape patterns in the Chishui River source region is essential for protecting ecosystems and sustainable growth in the Yangtze River Basin and other similar areas. However, knowledge of landscape pattern evolution within the primary channel zone remains insufficient. To address this gap, the current study used 2000–2020 land-use, geography, and socio-economic data, integrating landscape pattern indices, land-use transfer matrices, dynamic degree, the GeoDetector model, and the PLUS model. Results revealed that forest and cropland remained the prevailing land-use types throughout 2000–2020, comprising over 85% of the landscape. Grassland had the highest dynamic degree (1.58%), and landscape evolution during the study period was characterized by increased fragmentation, enhanced diversity, and stable dominance of major forms of land use. Anthropogenic influence on different landscape types followed the order: construction land > cropland > grassland > forest > water bodies. Land-use change in this region is a complex process governed by the interrelationships among various factors. Scenario-based predictions demonstrate pronounced variability in various land types. These findings provided a more comprehensive understanding of landscape patterns in karst river source regions, provided evidence-based support for regional planning, and offered guidance for ecological management of similar global river sources.
- 15 January 2026
- Published by MDPI AG in Sustainability
- Vol. 18 (2) , 914
Open AccessLandscape Pattern Evolution in the Source Region of the Chishui River
Recognizing the evolution of landscape patterns in the Chishui River source region is essential for protecting ecosystems and sustainable growth in the Yangtze River Basin and other similar areas. However, knowledge of landscape pattern evolution within the primary channel zone remains insufficient. To address this gap, the current study used 2000–2020 land-use, geography, and socio-economic data, integrating landscape pattern indices, land-use transfer matrices, dynamic degree, the GeoDetector model, and the PLUS model. Results revealed that forest and cropland remained the prevailing land-use types throughout 2000–2020, comprising over 85% of the landscape. Grassland had the highest dynamic degree (1.58%), and landscape evolution during the study period was characterized by increased fragmentation, enhanced diversity, and stable dominance of major forms of land use. Anthropogenic influence on different landscape types followed the order: construction land > cropland > grassland > forest > water bodies. Land-use change in this region is a complex process governed by the interrelationships among various factors. Scenario-based predictions demonstrate pronounced variability in various land types. These findings provided a more comprehensive understanding of landscape patterns in karst river source regions, provided evidence-based support for regional planning, and offered guidance for ecological management of similar global river sources.