A study of karst land use and land cover dynamics is critical for managing karst areas, which provide many pivotal services for people. This study aims to study such dynamics, especially in relation to the karst of Gunung Sewu, due to its development as a new emerging sector. Using a mixed methods approach, the study combines spatial data analysis with qualitative analysis. Spatial analysis was performed to examine the dynamic of the land cover derived from 2013 and 2021 Landsat 8 imagery, analyzed with the Google Earth Engine tool, together with analysis of spatial patterns using Global Moran’s I and LISA. The spatial analysis results were complemented by a qualitative analysis of the environmental history and development trends, as an explanatory method. The land cover analysis reveals a conversion from vegetation to agriculture, while the spatial pattern analysis shows that such conversion has mostly taken place in the northern part of the study area of Wonosari Basin. The environmental history of teak forest exploitation and agriculture is key to understanding current land use related to the emerging tourism sector, which is fundamental to the region. To manage the negative impacts, sustainable land use with a firm policy framework urgently needs to be implemented.
Karst area provides numerous ecosystem services from the interaction among its components of water, soil, and vegetation. However, a threat from unsustainable practice and resource overuses could diminish those services. Therefore, it is critical to steadily monitor the karst dynamics, especially in high-activity karst like the Karst of Tuban. This study aims to capture the karst dynamic, particularly the land-use change and how its impact on ecosystem services (ES). To achieve the research objective, an artificial intelligence tool of ARtificial Intelligence for Ecosystem Services (ARIES) is employed. ARIES examines a dataset for 6 years intervals beginning in 2012 to 2018 consisting of land-use and ecosystem change and ES using 150 m spatial resolution data. During that period, Tuban Regency undergoes a heavy change in artificial surface and a significant decrease in the water body and cropland. From the result, ARIES as the ES estimation tool can be used for robust calculation and preliminary study due to its limitation. The results also show the urge to address the issue of carbon storage and sediment regulation in the karst area and the land-cover changes in the Tuban Regency.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.