Monitoring and analysis of land cover changes in Yala National Park, Sri Lanka using Landsat time series (2000∼2022)
Yala National Park (YNP), a biodiversity hotspot in South Asia, is increasingly threatened by human-induced landscape transformation. However, long-term assessments of land cover dynamics and landscape integrity remain limited. This study, grounded in a landscape ecology – remote sensing framework, leverages 23 years of Landsat time-series data on Google Earth Engine (GEE) to quantify habitat loss and analyze landscape changes in YNP. The results reveal the following over a 23-year period: (i) YNP shows mild fragmentation characteristics, primarily manifested as local forest loss and patchiness of land cover under increased edge effects (0.7% decline in Contagion Index); (ii) The buffer zone has experienced high-intensity land cover conversion (with agricultural land accounting for 29.9% in 2022) and fragmentation of landscape patterns (13.7% decline in Contagion Index), with agricultural expansion infiltrating towards the edges of YNP; (iii) The increase in cropland area shows a significant positive correlation with the number of fatalities caused by Human-elephant conflict (Pearson's, r = 0.92, p < 0.01). Our study demonstrates the monitoring and assessment of long-term landscape changes, providing practical guidance for national parks facing similar human-wildlife conflict challenges.
Authors
- Jia Yang (ORCID: https://orcid.org/0000-0003-2019-9603)
- Jie Fan (ORCID: https://orcid.org/0000-0003-2441-5019)
- Liang He (ORCID: https://orcid.org/0000-0002-9090-3806)
- Li Li (ORCID: https://orcid.org/0000-0003-1381-0654)
- Lei Luo (ORCID: https://orcid.org/0000-0002-3203-1341)
- Xingyu Zhu (ORCID: https://orcid.org/0009-0001-8392-369X)
- Jie Shao (ORCID: https://orcid.org/0000-0002-0697-2922)
- Jianchao Sun (ORCID: https://orcid.org/0000-0002-2393-379X)
- Ran Tu (ORCID: https://orcid.org/0000-0002-5719-6695)
- Zhen Han (ORCID: https://orcid.org/0009-0003-8845-0507)
Institutions
- Nanjing Tech University (CN)
- Chinese Academy of Sciences (CN)
- China Geological Survey (CN)
- International Centre on Space Technologies for Natural and Cultural Heritage (CN)
- Beijing University of Civil Engineering and Architecture (CN)
Publication Details
- Journal
- International Journal of Digital Earth
- Published
- 2025-05-06
- DOI
- https://doi.org/10.1080/17538947.2025.2498602
- Citations
- 2
- Primary Topic
- Remote Sensing in Agriculture
- Type
- article
- Field-Weighted Citation Impact
- 3.43
Funders
- Youth Innovation Promotion Association of the Chinese Academy of Sciences