The changes in air temperature with the land use / land cover (LU/LC) in the certain areas highly affect to the environment and its ecosystem. This study aims to evaluate LU/LC changes and their impacts on climate in Hambantota Divisional Secretariat Division from 2008 to 2019. Both LU/LC cover changes were determined by using supervised classification, particularly maximum likelihood classification and accuracy assessment in Remote Sensing and GIS techniques. Spatial distribution of air temperature is determined by Inverse Distance Weighting (IDW) method by assigning values to unknown points are calculated with a weighted average of the values available at the known points. The results found that the increment of built-up areas (27.66%), water bodies (2.39%) and agriculture (0.44%) and decrement of barren lands (11.61%) and forest cover (18.88%) having accuracy ranged from 86.7 percent to 83.3 percent with 0.888 to 0.912 Kappa statistics. These changes are further confirmed by the Normalized Different Vegetation Index (NDVI). Moreover, the increment of air temperature is detected during 11 years. This air temperature increment is proportional to the forest cover reduction and the buildup area increment due to vast developments in the area after 2009.
The land area of Sri Lanka constitutes 65,610 sq. km with a considerable range of forest conservation zones that are prone to humanelephant conflict (HEC) that has led to various social, economic, and environmental issues. The main objective of this study is to identify the key issues in human-elephant conflict and propose viable solutions for them using Participatory Rural Appraisal (PRA). Two key HEC prone areas have been selected for this study, namely Kuda Bellankadawala and Kelegama Gramaniladari Divisions (GND) in the Thambuttegama Divisional Secretariat. Both primary and secondary data sources have been utilized in data collection and data were mainly derived from information sources, particularly published on HEC incidents reported in the key areas. Primary data were collected using PRA methods, such as resources map, seasonal map, problem tree, and risk quadrant. It was found out from the PRA survey that HEC incidents from Kuda Bellankadawala and Kelegama divisions account for 41% and 56% respectively. In terms of damage evaluation, 70% of incidents account for property damages while 25% account for damages to cultivations. According to the HEC risk value calculation, 165.85 and 100.17 risk values were found in the Kuda Bellankadawala and Kelegama villages. The most commonly used methods for HEC damage control were elephant watch towers (85%) and firecrackers (70%) and the survey has revealed that elephant corridor methods are still not used for reducing of HECs in the study areas. It is expected that the findings of this study will be instrumental in the formulation and implementation of local-level policies for minimizing damages from HECs in Sri Lanka.
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.