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All Journal Biodiversitas Journal of Biological Diversity
SOMBOON CHEYSAWAT
Cooperation Centre of Thai Forest Ecological Research, Kasetsart University. 50 Ngamwongwan Rd, Chatuchak District, Bangkok 10900, Thailand
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology

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The dynamics of deciduous dipterocarp forest in relation to climate variability in the Sakaerat Biosphere Reserve, Northeastern Thailand CHATPIMUK YATAR; SATHID THINKAMPHEANG; SARAWOOD SUNGKAEW; CHONGRAK WACHRINRAT; LAMTHAI ASANOK; TORLARP KAMYO; SUTHEERA HERMHUK; PANIDA KACHINA; JAKKAPONG THONGSAWI; WONGSATORN PHUMPHUANG; ARERUT YARNVUDHI; SURACHIT WAENGSOTHORN; SOMBOON CHEYSAWAT; DOKRAK MAROD
Biodiversitas Journal of Biological Diversity Vol. 25 No. 7 (2024)
Publisher : Society for Indonesian Biodiversity

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/biodiv/d250730

Abstract

Abstract. Yatar C, Thinkampheang S, Sungkaew S, Wachrinrat C, Asanok L, Kamyo T, Hermhuk S, Kachina P, Thongsawi J, Phumphuang W, Yarnvudhi A, Waengsothorn S, Cheysawat S, Marod D. 2024. The dynamics of deciduous dipterocarp forest in relation to climate variability in the Sakaerat Biosphere Reserve, Northeastern Thailand. Biodiversitas 25: 3088-3098. Climate change is a major environmental problem influencing forest dynamics. To clarify tropical seasonal forest dynamics under climate change, we conducted long-term monitoring of all trees with Diameter at Breast Height (DBH) ?4.5 cm within a 1-ha permanent plot established in 2004 in a deciduous dipterocarp forest in the Sakaerat Biosphere Reserve (SBR), Northeastern Thailand. Surveys of all trees within the plot with DBH ?2 cm were conducted in 2008, 2015, and 2019. Climate data were obtained from the SBR climate station during 2004-2019 and used to extract dates with drought and wet conditions. Forest dynamics varied among species and periods, with stem density exhibiting a decreasing trend. Despite prolonged drought conditions from 2004 to 2009, which usually leads to increased mortality rates, the recruitment rate was 7-fold higher than the mortality rate at a site protected from fire during 2004-2008, and most of the recruited species were pioneer species, shrubs, and small trees. A contrasting trend was observed during 2015-2019, with a mortality rate almost 10-fold higher than the recruitment rate, indicating a significant ecological disturbance, likely to have been driven by a severe El Niño event during 2015-2016. Thus, climate induced disturbances (i.e., drought and fire) appear to have inhibited tree regeneration in the deciduous dipterocarp forest, particularly when they occurred in combination and for specific timing and intensity levels. Addressing the challenges posed by drought and fire to tree regeneration requires holistic management approaches that consider both ecological and climatic factors. Monitoring and adaptive management are also essential to mitigate the impact of future disturbances and support the long-term viability of forest ecosystems.
Natural tree regeneration after selective cutting in a dry evergreen forest in Northeastern Thailand DOKRAK MAROD; SARAWOOD SUNGKAEW; SATHID THINKAMPAENG; CHONGRAK WACHRINRAT; SUTHERA HERMHUK; KKAPHONG THONGSAWI; WONGSATORN PHUMPHUANG; ARERUT YARNVUDHI; CHATPIMUK YATAR; SOMBOON CHEYSAWAT; CHATCHAI SAWASMONGKOL
Biodiversitas Journal of Biological Diversity Vol. 25 No. 11 (2024)
Publisher : Society for Indonesian Biodiversity

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/biodiv/d251107

Abstract

Abstract. Marod D, Sungkaew S, Thinkampaeng S, Wachrinrat C, Hermhuk S, Thongsawi J, Phumphuang W, Yarnvudhi A, Yatar C, Cheysawat S, Sawasmongkol C. 2024. Natural tree regeneration after selective cutting in a dry evergreen forest in Northeastern Thailand. Biodiversitas 25: 4074-4085. Forest degradation is a serious problem caused by anthropogenic disturbance, nevertheless, forest recovery rates vary among forest ecosystems. We investigated forest regeneration after selective cutting in a dry evergreen forest at the Wang Nam Khiao Forestry Research and Training Station (WFRS), Nakhon Ratchasima Province, Thailand. In 2002, a 1-ha permanent plot was established in the forest. All woody plant (sapling and trees) in the plot with Diameter at Breast Height (DBH) >2 cm were identified, and their DBHs and positions were recorded. Data on environmental and topographic factors and soil properties were collected to analyze their relationships with tree spatial distribution. Tree monitoring was conducted in 2004, 2018, and 2020 and forest dynamics were analyzed for the periods 2002-2004, 2004-2018, and 2018-2020. In 2020, we identified 3,669 trees of 91 species, 81 genera, and 36 families. Based on importance index values, the dominant tree species (all with DBH ?4.5 cm) were Walsura pinnata Hassk., Dialium cochinchinense Pierre, Hopea ferrea Laness., Hydnocarpus ilicifolius King and Vitex scabra Wall. ex Schauer. Based on the DBH class distribution, the natural regeneration of all woody plants tended toward a reverse J-shaped, indicating a good regeneration condition. The results of forest dynamics analysis showed that the net recruitment rate (2.75±1.70% year-1) was higher than the mortality rate (2.14±0.73% year-1) throughout the study period. Tree spatial distributions varied among species and across environmental factors which were strongly influenced by soil texture followed by topographic and can be divided into generalist and specialist species. This indicates that the forest is going toward a positive regeneration trajectory after the disturbances. Nonetheless, additional information based on forest monitoring is required. Additionally, an understanding of the relationships between species niches and environmental changes is important for tree regeneration research and forest restoration programs; it will allow better matching of tree species to their optimal environmental conditions, thereby increasing the likelihood of plant community success.
Co-Authors ARERUT YARNVUDHI CHATCHAI SAWASMONGKOL CHATPIMUK YATAR CHATPIMUK YATAR CHONGRAK WACHRINRAT DOKRAK MAROD DOKRAK MAROD JAKKAPONG THONGSAWI KKAPHONG THONGSAWI LAMTHAI ASANOK PANIDA KACHINA SARAWOOD SUNGKAEW SATHID THINKAMPAENG SATHID THINKAMPHEANG SURACHIT WAENGSOTHORN SUTHEERA HERMHUK SUTHERA HERMHUK TORLARP KAMYO WONGSATORN PHUMPHUANG WONGSATORN PHUMPHUANG