Biophysical-based sustainable management of KHDTK Mungku Baru: Mapping conservation, research and utilization blocks
Keywords:
Biophysical analysis, Carbon stock, Forest management zoning, Special Purpose Forest Area, Watershed-based planningAbstract
Importance of the work: Sustainable management of Special Purpose Forest Area
(KHDTK) Mungku Baru, requires area planning based on mapping and determining
management blocks that are in accordance with biophysical conditions.
Objectives: To create management plots based on watershed boundaries and group them
into management blocks based on biophysical conditions: vegetation density, land surface
temperature, carbon stock and land cover type.
Materials and Methods: Management plots were designed by considering watershed
boundaries using the Digital elevation model (DEM), normalized vegetation index (NDVI)
analysis and land surface temperature (LST) analysis based on Landsat 9 imagery,
carbon stock analysis and land cover analysis. Management blocks were created based on
a weighted overlay of management plots with NDVI, LST, carbon stock and land cover.
Results: The overlay of management plots, NDVI, LST, land cover and carbon stocks
produced 26 conservation blocks, with an additional 24 plots in the research and
development block, 6 plots in the indigenous cultural block and utilization and 6 plots in the
rehabilitation block. The minimum area limit for KHDTK utilization was no more than 10%
of the area, in accordance with applicable regulations.
Main finding: The arrangement of the KHDTK Mungku Baru area was designed by creating
management blocks according to biophysical conditions, with the aim being to ensure the
sustainability of the KHDTK Mungku Baru.
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Copyright (c) 2025 online 2452-316X print 2468-1458/Copyright © 2025. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/), production and hosting by Kasetsart University Research and Development Institute on behalf of Kasetsart University.

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
online 2452-316X print 2468-1458/Copyright © 2022. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/),
production and hosting by Kasetsart University of Research and Development Institute on behalf of Kasetsart University.

