Mahidol University's Institutional Repository
คลังสารสนเทศสถาบันของมหาวิทยาลัยมหิดล
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To collect Mahidol University's academic publications and intellectual properties more than 39 faculties
To present over 50,000 items of information in digital formats
To make it easy to access to all information at anytime, anywhere
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Recent Submissions
JPR2R Vol. 7 No.1
(2020)
JPR2R Vol. 7 No.2
(2020)
JPR2R Vol. 8 No.1
(2020)
Greenhouse Gas Mitigation Strategies for Lowland Rice Cultivation under Common Farm Practices, and Accompanying Influencing Factors for Acceptability among Local Farmers in Myanmar
(2025) Myo Thet Tin; Amnat Chidthaisong; Nathsuda Pumijumnong; Noppol Arunrat; Monthira Yuttitham
The main purpose of the study was to determine agricultural rice establishment options with specific fertilizer application methods which produce less methane, and lower nitrous oxide emissions (Lower Global Warming Potential. Greenhouse Gases Index and Abatement cost) while still maintaining an acceptable rice yield. To do so, methane (CH4) and nitrous oxide (N2O) emissions, and grain yields from rice fields were explored, under different farmer fertilizer application methods and two different crop establishment options currently practiced by local farmers, namely transplanted rice (TPR) and wet bed direct seeded rice (WDSR). Both were measured in field experiments. In this study, it was found that rice cultivation emitted CH4 and N2O at the rate of 3.23±0.94 mg/m2/h (ranging from 1.83-4.68) and 0.089±0.024 mg/m2/h (ranging from 0.073-0.135), respectively. In addition, TPR produced more CH4 and N2O than WDSR did across the different fertilizer methods at almost each growth stage throughout the growing period. Finally, the result was a pair of rice cultivation practices-including WDSR with urea nitrogen fertilizer application (WF1)-which show great potential for mitigating GHG emissions in the Myanmar agricultural sector. Lower GWP, GHGI, and AAC with acceptable productivity were all seen. Moreover, this study was designed to investigate influencing factors on acceptability of local farmers upon WF1. Some 36% of respondents among local farmers were willing to accept WF1 with conditions, while 30% acceptability was found in neutral respondents, not yet decided on practices of rice cultivation for coming seasons. According to multiple regression analysis, the influencing factors of farmers’ acceptability towards WF1 were their rice cultivation experience, the number of available agriculture information sources, and the total quantity of cultivated land for rice growing.
Scenario-Based Land Cover and Land Use Change Modeling in Mae Chang Watershed, Lampang Province, Thailand
(2026) Sirasit Vongvassana; Sura Pattanakiat; Allan Sriratana Tabucanon; Theerawut Chiyanon; Pisut Nakmuenwai; Siam Lawawirojwong; Warin Boonriam; Pathomphot Chinsawadphan; Thamarat Phutthai
The Mae Chang watershed is part of the headwaters of the Wang River, located in Lampang Province in Northern Thailand. Resource pressures at forest-agriculture-extractive frontiers make this landscape crucial for studying land-habitat conversion and guiding sustainable land-use planning. Thus, this study interpreted LULC (1989, 2005, 2013, 2021) and projected LULC for 2029 and 2037 under BAU, conservation (CON), and development (DEV) scenarios using TerrSet’s LCM-MLP with local drivers, isolating intervention effects by contrasting CON/DEV (with constraint and incentive (CI) layers) against BAU (no CI). From 1989 to 2021, deciduous forest declined 23.3% (-249.01 km²), from 1,070.41 to 821.40 km² (65.40→50.18% of the watershed; -15.2 percentage points), while field crops increased by 104.7%, perennial crops by 97.3%, mines/pits by 240.8%, and urban areas by 28.8% based on human activity. Sub-model accuracies ranged 53-92%, and validation achieved Kstandard 0.824, Kno 0.861, Klocation 0.893, exceeding the success threshold. The three future scenarios yielded similar projected areas in both 2029 and 2037 but there were location differences. The deciduous forest area in 2029 and 2037 declined by 22.3% and 31.5%, respectively for all scenarios compared with 2021. The CON scenario outperformed BAU/DEV because strict no-conversion constraints in protected forests and restricted area effectively prevent ongoing deforestation, offering a practical simulation-based tool to support and implement land-use policies at local and regional scales. These findings provide a validated, transferable framework that isolates policy effects and supports evidence-based land-use planning in tropical headwatersheds.