Faculty of Environment and Resource Studies, Mahidol University, 999 Moo 5, Sai 4 Phuttamonthon Rd., Salaya, Phuttamonthon, Nakhon Pathom, 73170, Thailand.
Environ Monit Assess. 2022 Sep 8;194(10):750. doi: 10.1007/s10661-022-10432-x.
In Bangkok, the crowded capital of Thailand, the capacity of 25 public parks as carbon (C) sinks was determined from the aboveground C sequestration (C, tons (t)-C) and carbon dioxide absorption (CO, t-CO) of the trees in these parks. The results revealed that the estimated C and CO of these parks were 11,112.2 t-C and 41,219.4 t-CO, respectively. Of these values, 10,166.8 t-C and 37,753.1 t-CO were obtained for the group 1 trees (all observed species except palms), and 945.5 t-C and 3,466.3 t-CO were obtained for the group 2 trees (palms). The CO of the 25 parks was 83.6% of the estimated greenhouse gases (i.e., 49,279 t-CO equivalent) absorbed by all green areas in Bangkok, but this amount was trivial and approximately 0.1% of the greenhouse gases emitted by the city (i.e., 46.44 million t-CO equivalent). To enhance the capacity of C sinks in dense urban landscapes, both tree C potential and park C efficiency should be simultaneously considered. The results of the linear mixed model and Kendall correlation analysis identified the variables influencing tree C potential, i.e., tree group, species diversity, tree density, and tree diameter at breast height. Based on the preliminary baseline proposed in this study, identifying appropriate specifications for tree planting and park management planning could improve park C efficiency. In each park, the diverse tree subgroup species should be planted, and proportions of green area and tree density should be managed to meet relevant baseline values.
在泰国首都曼谷，人口密集，该研究测定了 25 个公共公园的地上碳固存（C，吨（t）-C）和树木的二氧化碳吸收（CO，t-CO），以确定这些公园作为碳汇的能力。结果表明，这些公园的估算 C 和 CO 分别为 11112.2 t-C 和 41219.4 t-CO。在这些值中，10166.8 t-C 和 37753.1 t-CO 是组 1 树木（除棕榈树外所有观察到的物种）获得的，945.5 t-C 和 3466.3 t-CO 是组 2 树木（棕榈树）获得的。25 个公园的 CO 是曼谷所有绿色区域估计温室气体（即 49279 t-CO 当量）吸收量的 83.6%，但这一数量微不足道，约占城市温室气体排放量的 0.1%（即 4644 万 t-CO 当量）。为了提高密集城市景观中碳汇的能力，应同时考虑树木的碳潜力和公园的碳效率。线性混合模型和肯德尔相关分析的结果确定了影响树木碳潜力的变量，即树木组、物种多样性、树木密度和胸径。基于本研究提出的初步基准，确定适当的植树和公园管理规划规格可以提高公园的碳效率。在每个公园中，应种植不同的树木亚组物种，并管理绿地比例和树木密度，以达到相关的基准值。
