4.7 Article

Allometric Models to Estimate the Biomass of Tree Seedlings from Dry Evergreen Forest in Thailand

Journal

FORESTS
Volume 14, Issue 4, Pages -

Publisher

MDPI
DOI: 10.3390/f14040725

Keywords

carbon stocks; tropics; seedling traits; ecological modeling

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Seedlings are important for understanding plant growth, and their abundance and health can indicate future forest structure changes. This study aims to predict seedling biomass by investigating 205 two-year-old seedlings from different tree species. The results suggest that root collar diameter, shoot height, and wood density can accurately predict seedling biomass.
Seedlings are an important stage for plant populations, as the abundance and rigor of seedlings can indicate a changing forest structure in the future. Studying the different traits of the seedling can represent how the plant grows. Biomass is one of the traits that can represent the plant's performance and many other growth processes of the seedling. Several allometric equations have been developed to estimate tree biomass. However, allometric equations for the biomass of seedlings remains poorly studied, especially those from the tropics. The objective of this research is to create and develop a model that can be used to predict the biomass of seedlings, including total biomass, aboveground biomass, and belowground biomass, from root collar diameter, shoot height, main stem length, and wood density from 205 two-year-old seedlings from twenty tree species found in dry evergreen forest in Huai Kha Khaeng Wildlife Sanctuary, Uthai Thani, Thailand. The results showed that the root collar diameter, shoot height, and wood density could be used to create a model to best predict the seedling biomass. This model should be tested with other seedlings in the wild and other datasets to evaluate the performance of the model. To our knowledge, this study is among the first to provide the first allometry for seedlings in tropical dry evergreen forest. The results from this study will allow ecologists to monitor and examine the growth of the seedlings at all stages of life in dynamic tropical environments in the future.

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