| 摘要: |
| 在全球变化背景下,森林碳储量的精准评估对优化森林经营管理和调控区域碳平衡具有重要意义。传统碳储量计量方法依赖人工样地调查,存在成本高、时效性差等问题。本研究基于无人机低空遥感技术,以佛山市云勇林场为研究区,通过两期调查(2023年及2024年)林场主要经营区域估算单株碳储量增量。结果表明：研究区林木单株碳储量年度增量呈现显著右偏态分布,90.4%的植株增量集中在0-5 kg区间,而高碳汇个体(>20 kg)仅占0.66%,但其累计贡献可能主导区域碳汇总量。空间分析显示,碳储量增量具有显著异质性,中部区域形成“碳汇热点”,其增量密度为周边区域的2.3-3.1倍。林分因子分析表明,阔叶混交林的平均碳储量增量(2.69±6.05 kg)显著高于针阔混交林(1.61±2.48 kg)；林分密度600-800株/hm2时增量均值最高(4.61±7.88 kg),但个体间变异加剧；幼龄林(2.97±6.31 kg)的固碳能力显著优于成熟林(1.58±2.10 kg)。本研究验证了无人机遥感技术在单株级碳储量动态监测中的可行性,为森林精准经营与碳汇交易提供了科学依据。 |
| 关键词: 低空遥感 碳储量 单株级评估 动态监测 |
| DOI： |
| 分类号: |
| 基金项目:广东省林业科技创新项目 (2024KJCX008), 2022 年佛山市自筹经费类科技计划项目 “森林资源多源数据融合一体化示 范研究”, 广东省林业科技创新项目 (2023KJCX021), 广东省林业科技创新项目 (2024KJCX018)。 |
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| Assessment of Individual Tree-Level Carbon Storage Increment in Forests Based on UAV-Based Low-Altitude Remote Sensing |
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TAN Sha1, TAO Beibei2, LI Zheng1, LI Yingying2, CHEN Zhaocong1, XU Xiongjian1, HE Haisheng1, ZHANG Zhongrui2
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1.Foshan Yunyong Forest Farm,Foshan;2.Guangdong Academy of Forestry,Guangzhou
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| Abstract: |
| To address the limitations of traditional carbon storage measurement methods relying on manual
plot surveys, including high costs and poor timeliness, this study implemented UAV-based low-altitude remote
sensing technology. Taking Yunyong Forest Farm in Foshan city as the research area, biennial investigations
from 2023 to 2024 were conducted to accurately estimate the carbon storage increment per individual tree in the
main management zones of the forest farm. The results showed a significantly right-skewed distribution in the
annual carbon storage increment per individual tree. Specifically, 87. 2% of individual trees had increments concentrated with the 0 to 5 kg range, while high carbon sequestration individuals ( >25 kg) accounted for only
0. 9%. Spatial analysis revealed significant heterogeneity in carbon storage increments, with a "carbon sink hots-pot" observed in the central area, where the increment density reached 2. 3 to 3. 1 times that of surrounding are-as. Analysis of different forest stands demonstrated that the average carbon storage increment in broadleaf mixed
forests (2. 69±6. 05 kg) was significantly higher than in coniferous broadleaf mixed forests (1. 61±2. 48 kg).
The highest mean increment (4. 61±7. 88 kg) occurred at stand densities of 600 to 800 stems per hectare, but
with increased variability among individuals. Young-growth forests (2. 97±6. 31 kg) showed significantly better carbon sequestration capacity than mature forests (1. 58±2. 10 kg). |
| Key words: low-altitude remote sensing carbon storage individual tree-level assessment dynamic monitoring |
