Long-term dynamics of fire-affected pine-dipterocarp forest in Northern Thailand
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Abstract. Kantasrila R, Muenrew J, Thammarong W, Sutjaritjai N, Rujichaipimon W, Rakarcha S, Pongamornkul W, Moolla K, Panyadee P. 2026. Long-term dynamics of fire-affected pine-dipterocarp forest in Northern Thailand. Biodiversitas 27 (2): d270211. https://doi.org/10.13057/biodiv/d270211. Fire disturbance is a critical ecological driver in Southeast Asian tropical forests, yet long-term empirical evidence of repeated fire regime remains limited. This study examined 13-year post-fire dynamics in a pine-dipterocarp forest using a 1-ha permanent plot at Queen Sirikit Botanic Garden, Northern Thailand. Trees with Diameter at Breast Height (DBH) ≥ 4.5 cm were monitored in 2012 and 2025, along with saplings (1.5-4.4 cm DBH) in the latter census. Species richness increased from 40 to 47 species, and basal area rose from 22.52 to 26.06 m² ha-¹, indicating structural recovery. Recruitment (1.63% yr-¹) exceeded mortality (1.15% yr⁻¹), suggesting demographic resilience. While dominant canopy species such as Pentacme siamensis, Quercus kingiana, Dipterocarpus obtusifolius, and Pinus kesiya persisted, the sapling layer was dominated by fast-growing deciduous species (Dalbergia suthepensis, Wendlandia tinctoria, and Lithocarpus sootepensis), indicating contrasting regeneration composition between life stages under repeated fire. Aboveground biomass increased from 135.57-159.21 to 148.05-173.62 t ha-¹ across allometries, with carbon stocks rising from 80.92-95.03 to 88.37-103.63 t C ha-¹. These results reflect net accumulation of biomass and carbon between 2012 and 2025 in the fire-affected forest. The study provides the first long-term evidence of demographic and carbon recovery in a fire-prone forest ecosystem in Thailand, underscoring the importance of permanent plot monitoring for adaptive fire management and climate change mitigation.
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References
Albrecht L, Stallard RF, Kalko EKV. 2017. Land use history and population dynamics of free-standing figs in a maturing forest. PLoS One 12 (5): e0177060. https://doi.org/10.1371/journal.pone.0177060.
Baker TR, Phillips OL, Laurance WF, Pitman NCA, Almeida S, Arroyo L, Di Fiore A, Erwin T, Higuchi N, Killeen TJ, Laurance SG, Nascimento HEM, Monteagudo A, Neill DA, Silva JNM, Vásquez Martínez R. 2017. Distribution of biomass in Amazonian Forests and the influence of forest structure. Glob Change Biol 23 (9): 3457-3473. https://doi.org/10.1111/gcb.13650.
Berendse F, Elberse WT. 1990. Causes and consequences of variation in growth rate and productivity of higher plants. In: Lambers H, Cambridge ML (eds.). Competition and Nutrient Losses from Plant. SPB Academic Publishing, The Hague.
Bunyavejchewin S, Chamlongrach Y, Buasalee R, Rayangkul P. 2016. Trees and Forest of Huai Kha Khaeng Wildlife Sanctuary. Amarin Printing and Publishing, Bangkok.
Bunyavejchewin S, LaFrankie JV, Baker PJ, Kanzaki M, Ashton PS, Yamakura T. 2003. Spatial distribution patterns of the dominant canopy dipterocarp species in a seasonal dry evergreen forest in Western Thailand. For Ecol Manag 175 (1-3): 87-101. https://doi.org/10.1016/S0378-1127(02)00126-3.
Crisóstomo JA, Freitas H, Rodríguez-Echeverría S. 2007. Relative growth rates of three woody legumes: Implications in the process of ecological invasion. Web Ecol 7 (1): 22-26. https://doi.org/10.5194/we-7-22-2007.
CTFS. 2004. CTFS Field Manual for Plot Establishment and Remeasurement. Smithsonian Tropical Research Institute, Washington DC.
Dávila‐Hernández G, Meave JA, Muñoz R, González EJ. 2025. A flash in the pan? The population dynamics of a dominant pioneer species in tropical dry forest succession. Popul Ecol 67 (1): 32-44. https://doi.org/10.1002/1438-390X.12186.
de Andrade DFC, Ruschel AR, Schwartz G, de Carvalho JOP, Humphries S, Gama JRV. 2020. Forest resilience to fire in Eastern Amazon depends on the intensity of pre-fire disturbance. For Ecol Manag 472: 118258. https://doi.org/10.1016/j.foreco.2020.118258.
Duangon N, Wachrinrat C, Ngernsaengsaruay C, Thinkampheang S, Hermhuk S, Thongsawi J, Phumphuang W, Kullawong A, Yarnvudhi A, Marod D. 2024. Effects of long-term fire protection on deciduous dipterocarp forest dynamics in Northeastern Thailand. Biodiversitas 25 (9): 3141-3153. https://doi.org/10.13057/biodiv/d250936.
Dye AW, Houtman RM, Gao P, Anderegg WR, Fettig CJ, Hicke JA, Kim JB, Still CJ, Young K, Riley KL. 2024. Carbon, climate, and natural disturbance: A review of mechanisms, challenges, and tools for understanding forest carbon stability in an uncertain future. Carbon Balance Manag 19: 35. https://doi.org/10.1186/s13021-024-00282-0.
Fatimah H, Farooq S, Anwar T, Qureshi H, Hashmi F, Ahmad T, Ullah N, Munazir M, Naseem MT, Soufan W. 2024. Assessment of growth, biomass, and carbon sequestration potential of urban tree species in greenbelts. BMC Plant Biol 24: 1199. https://doi.org/10.1186/s12870-024-05935-3.
Fiqa AP, Yulistyarini T, Budiharta S, Fauziah, Trimanto, Hapsari L, Rahadiantoro A, Damaiyani J, Hartatik SE, Helbert, Lailati M. 2025. Ecological restoration and reclamation of degraded lands in Indonesia: Eco-physiological and anatomy as an advance approach. In: Parray JA (eds.) Soil and Land Use Change. Sustainable Landscape Planning and Natural Resources Management. Springer, Cham. https://doi.org/10.1007/978-3-031-93075-1_9.
Forest Fire Control Division. 2025. Forest Fire Statistics. Department of National Park, Wildlife and Plant Conservation, Thailand. https://www.dnp.go.th.
Gilbertson NM, Kot M. 2021. Dynamics of a discrete-time pioneer-climax model. Theor Ecol 14 (3): 501-523. https://doi.org/10.1007/s12080-021-00511-z.
Gosper CR, Yates CJ, Prober SM, Parsons BC. 2012. Contrasting changes in vegetation structure and diversity with time since fire in two Australian Mediterranean‐climate plant communities. Austral Ecol 37 (2): 164-174. https://doi.org/10.1111/j.1442-9993.2011.02259.x.
Grime JP. 1977. Evidence for the existence of three primary strategies in plants and its relevance to ecological and evolutionary theory. Am Nat 111 (982): 1169-1194. https://doi.org/10.1086/283244.
Hashimoto T, Tange T, Masumori M, Yagi H, Sasaki S. 2012. Changes in above- and belowground biomass in early successional tropical secondary forests after shifting cultivation in Sarawak, Malaysia. For Ecol Manag 274: 1-10. https://doi.org/ 10.1016/j.foreco.2012.02.018.
Hoffmann WA, Geiger EL, Gotsch SG, Rossatto DR, Silva L, Lau OL, Haridasan M, Franco AC. 2012. Ecological thresholds at the savanna‐forest boundary: How plant traits, resources and fire govern the distribution of tropical biomes. Ecol Lett 15 (7): 759-768. https://doi.org/10.111/j.1461-0248.2012.01789.x.
Intergovernmental Panel on Climate Change (IPCC). 2006. IPCC Guidelines for National Greenhouse Gas Inventories. Volume 4 Agriculture, Forestry and Other Land Use. In: Eggleston HS, Buendia L, Miwa K, Ngara T, Tanabe K (eds.). Institute for Global Environmental Strategies, Japan. https://www.ipcc-nggip.iges.or.jp. .
Jiang P, Russell MB, Frelich L, Babcock C, Smith JE. 2023. Wildfires correlate with reductions in aboveground tree carbon stocks and sequestration capacity on forest land in the Western United States. Sci Total Environ 893: 164832. https://doi.org/10.1016/j.scitotenv.2023.164832.
Junpen A, Garivait S, Bonnet S, Pongpullponsak A. 2013b. Fire spread prediction for deciduous forest fires in Northern Thailand. ScienceAsia 39: 535-545. https://doi.org/10.2306/scienceasia1513‑1874.2013.39.535.
Junpen A, Garivait S, Bonnet S. 2013a. Estimating emissions from forest fires in Thailand using MODIS active fire product and country specific data. Asia-Pacific J Atmos Sci 49: 389-400. https://doi.org/10.1007/s13143-013-0036-8.
Kent M. 2011. Vegetation Description and Data Analysis: A Practical Approach. John Wiley & Sons, Chichester.
Keren S, Medarević M, Obradović S, Zlokapa B. 2018. Five decades of structural and compositional changes in managed and unmanaged montane stands: A case study from South-east Europe. Forests 9 (8): 479. https://doi.org/10.3390/f9080479.
Khan ML, Tripathi RS. 1989. Effects of stump diameter, stump height and sprout density on the sprout growth of four tree species in burnt and unburnt forest plots. Acta Oecol 10 (4): 303-316.
Liang Y, Pan F, Jiang Z, Li Q, Pu J, Liu K. 2022. Accumulation in nutrient acquisition strategies of arbuscular mycorrhizal fungi and plant roots in poor and heterogeneous soils of karst shrub ecosystems. BMC Plant Biol 22: 188. https://doi.org/10.1186/s12870-022-03514-y.
Liu F, Yang W, Wang Z, Xu Z, Liu H, Zhang M, Liu Y, An S, Sun S. 2010. Plant size effects on the relationships among specific leaf area, leaf nutrient content, and photosynthetic capacity in tropical woody species. Acta Oecol 36 (2): 149-159. https://doi.org/10.1016/j.actao.2009.11.004.
Luo X, Cao M, Zhang M, Song X, Li J, Nakamura A, Kitching R. 2017. Soil seed banks along elevational gradients in tropical, subtropical and subalpine forests in Yunnan Province, Southwest China. Plant Divers 39 (5): 273-286. https://doi.org/10.1016/j.pld.2017.10.001.
Mangiarotti S, Mazzega P, Jarlan L, Mougin E, Baup F, Demarty J. 2008. Evolutionary bi-objective optimization of a semi-arid vegetation dynamics model with NDVI and σ0 satellite data. Remote Sens Environ 112 (4): 1365-1380. https://doi.org/10.1016/j.rse.2007.03.030.
Marod D, Kutintara U, Tanaka H, Nakashizuka T. 2004. Effects of drought and fire on seedling survival and growth under contrasting light conditions in a seasonal tropical forest. J Veg Sci 15 (5): 691-700. https://doi.org/10.1111/j.1654-1103.2004.tb02311.x.
Neeraja U, Rajendrakumar S, Saneesh CS, Dyda V, Knight TM. 2021. Fire alters diversity, composition, and structure of dry tropical forests in the Eastern Ghats. Ecol Evol 11 (11): 6593-6603. https://doi.org/10.1002/ece3.7514.
Niklas KJ, Midgley JJ, Rand RH. 2003. Tree size frequency distributions, plant density, age and community disturbance. Ecol Lett 6 (5): 405-411. https://doi.org/10.1046/j.1461-0248.2003.00440.x.
Ogawa H. 1965. Comparative ecological studies on three main types of forest vegetation in Thailand II. Structure and floristic composition. Nature and Life in South East Asia 4: 49-80.
Oguchi R, Ozaki H, Hanada K, Hikosaka K. 2016. Which plant trait explains the variations in relative growth rate and its response to elevated carbon dioxide concentration among Arabidopsis thaliana ecotypes derived from a variety of habitats?. Oecologia 180: 865-876. https://doi.org/10.1007/s00442-015-3479-z.
Pati PK, Kaushik P, Malasiya D, Ray T, Khan ML, Khare PK. 2024. Impacts of forest fire frequency on structure and composition of tropical moist deciduous forest communities of Bandhavgarh Tiger Reserve, Central India. Trees For People 15: 100489. https://doi.org/10.1016/j.tfp.2023.100489.
Pausas JG, Keeley JE. 2019. Distinguish disturbance from perturbations in fire-prone ecosystems. Intl J Wildland Fire 28(4): 282-287. https://doi.org/10.1071/WF18203.
Phumphuang W, Marod D, Sungkaew S, Thinkampaeng S. 2018. Forest dynamics and tree distribution patterns in dry evergreen forest, Northeastern, Thailand. Environ Nat Resour J 16 (2): 58-67.
Phumsathan S, Daonurai K, Kraichak E, Sungkaew S, Teerawatananon A, Pongpattananurak N. 2022. Effects of fire on diversity and aboveground biomass of understory communities in seasonally dry tropical forest in Western Thailand. Sustainability 14 (22): 15067. https://doi.org/10.3390/su142215067.
Pielou EC. 1966. The measurement of diversity in different types of biological collections. J Theor Biol 13: 131-144. https://doi.org/10.1016/0022-5193(66)90013-0.
Pommerening A, Muszta A. 2015. Methods of modelling relative growth rate. For Ecosyst 2: 5. https://doi.org/10.1186/s40663-015-0029-4.
Poorter H, Garnier E. 2007. Ecological significance of inherent variation in relative growth rate and its components. In: Pugnaire FI, Valladares F (eds.). Functional Plant Ecology. CRC Press, Boca Raton, Florida. https://doi.org/10.1201/9781420007626.ch3.
POWO. 2026. Plants of the World Online. Royal Botanic Gardens, Kew, https://powo.science.kew.org.
Queen Sirikit Botanic Garden Database. 2025. Climate Data for QSBG. https://database.qsbg.org.
Saha S, Hiremath A. 2003. Anthropogenic Fires in India: A Tale of Two Forests. The Arid Lands Newsletter 54.
Sahunalu P. 2009. Mortality and recruitment of tree species in the long-term dynamic plots of Sakaerat Deciduous Dipterocarp Forest, Northeastern Thailand. Journal of Forest Management 3 (6): 16-25.
Santisuk T. 2012. Forests of Thailand. National Office of Buddhism Press, Bangkok.
Senpaseuth P, Navanugraha C, Pattanakiat S. 2009. The estimation of carbon storage in dry evergreen and dry dipterocarp forests in Sang Khom District, Nong Khai Province, Thailand. Environ Nat Resour J 7 (2): 1-11.
Seramethakun T, Khamyong S, Anongrak, N, Sri-ngernyuang K. 2013. Plant species diversity and forest condition of pine-dry dipterocarp forest in Kunlaya Ni Wattana District, Chiang Mai Province. Naresuan Phayao J 6 (1): 52-63. [Thai]
Shannon CE, Weaver W. 1949. The Mathematical Theory of Communication. University of Illinois Press, Illinois.
Sheil D, Burslem DF, Alder D. 1995. The interpretation and misinterpretation of mortality rate measures. J Ecol 83 (2): 331-333. https://doi.org/10.2307/2261571.
Sherman RE, Fahey TJ, Martin PH, Battles JJ. 2012. Patterns of growth, recruitment, mortality and biomass across an altitudinal gradient in a neotropical montane forest, Dominican Republic. J Trop Ecol 28 (5): 483-495. https://doi.org/10.1017/S0266467412000478.
Staver AC, Archibald S, Levin SA. 2011. The global extent and determinants of savanna and forest as alternative biome states. Science 334 (6053): 230-232. https://doi.org/10.1126/science.1210465.
Šumichrast L, Jaloviar P, Komendák M, Targoš S, Kucbel S. 2023. Vital rates and their multi-decadal trends in the fir-beech old-growth forest of Badínsky Prales. J For Sci 69 (3): 93-100. https://doi.org/10.17221/167/2022-JFS.
Terakunpisut J, Gajaseni N, Ruankawe N. 2007. Carbon sequestration potential in aboveground biomass of Thong Pha Phum National Forest, Thailand. Appl Ecol Environ Res 5 (2): 93-102. https://doi.org/10.15666/aeer/0502_093102.
Tsutsumi T, Yoda K, Sahunalu P, Dhanmanonda P, Prachaiyo B. 1983. Forest: Felling, burning and regeneration. In: Kyuma K, Pairintra C (eds.). Shifting Cultivation: An Experiment at Nam Phrom, Northeast Thailand, and Its Implications for Upland Farming in the Monsoon Tropics. Kyoto University, Tokyo.
Verma SK, Akhtar S, Shrivastava S. 2017. Assessment of particles of varied soil by grain size analysis-a case study in Jabalpur MP. Intl J Eng Res Appl 7 (7): 32-37. https://doi.org/10.9790/9622-0707093237.
Walters M, Midgley JJ, Somers MJ. 2004. Effects of fire and fire intensity on the germination and establishment of Acacia karroo, Acacia nilotica, Acacia luederitzii and Dichrostachys cinerea in the field. BMC Ecol 4: 3. https://doi.org/10.1186/1472‑6785‑4‑3.
Wanthongchai K, Bauhus J, Goldammer J. 2014. Effects of past burning frequency on woody plant structure and composition in dry dipterocarp forest. Thai Journal of Forestry 33 (3): 109-130. https://doi.org/10.13140/RG.2.1.4679.3125.
Xiong G, Zhang A, Fan D, Ge J, Yang D, Xie Z, Zhang W. 2018. Functional coordination between leaf traits and biomass allocation and growth of four herbaceous species in a newly established reservoir riparian ecosystem in China. Ecol Evol 8 (23): 11372-11384. https://doi.org/10.1002/ece3.4494.
Zhang C, Peng DL, Huang GS, Zeng WS. 2016. Developing aboveground biomass equations both compatible with tree volume equations and additive systems for single-trees in poplar plantations in Jiangsu Province, China. Forests 7 (2): 32. https://doi.org/10.3390/f7020032.