Assessment of the Risk of Invasion in Phouphueng-Phouphathoun and Tadkuangsi National Protection Forest Areas, Lao People’s Democratic Republic, Using Geographic Information System Data

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Weeraphart Khunrattanasiri
Hor Manythong
Patsi Prasomsin

Abstract

The land use changes were studied in forest land use in the Phouphueng Phouphatoun and Tadkuangsi National Protection Forests and a geo-information system was used to assess the risk of forest invasions. Land use was classified into five categories: agricultural; forest; road; urban and built-up; and water body. Visual interpretation methods were applied to identify the areas at risk of forest invasion using geographic information system data.


Based on the results, the visual interpretation of land use in 2015 and 2023 had overall accuracy levels of only 79.55% and 90.91%, respectively, with Kappa statistics of 0.58 and 0.83, respectively. Deforestation caused the greatest change in land use between 2015 and 2023, while agriculture had the greatest increase of 2,959.10 ha. The analysis of forest infestation risk areas using the geographic information system data identified the most influential factors were the average income per village per year (0.32), followed by the population of the village, distance from the community, distance from the road, distance from the water source, percentage of area slope and digital elevation models, with their weight levels of importance being 0.23, 0.15, 0.12, 0.10, 0.05 and 0.03, respectively. There were 6 risk levels identified: not at risk, very low risk, low risk, moderate risk, high risk and very high risk, covering 0.00%, 16.63%, 22.49%, 16.34%, 26.68% and 17.86%, respectively, of the total area. Thus, substantial forest areas were identified that were highly vulnerable to invasion. These results could be applied to develop operational support.

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How to Cite
Khunrattanasiri, W. ., Manythong, H. ., & Prasomsin, P. . (2024). Assessment of the Risk of Invasion in Phouphueng-Phouphathoun and Tadkuangsi National Protection Forest Areas, Lao People’s Democratic Republic, Using Geographic Information System Data. Thai Journal of Forestry, 43(2), 102–113. retrieved from https://li01.tci-thaijo.org/index.php/tjf/article/view/262985
Section
Original Articles

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