Scholarlink

<p>Reliable estimates of aboveground biomass (AGB) are essential for aboveground carbon (AGC) accounting, biodiversity monitoring, and sustainable forest management. However, limited efforts have been made to compare carbon fluxes over time using both field-based and remote sensing approaches. To address this gap, the present study investigates carbon-fluxes in the Southern Eastern Ghats of Odisha. Using the Vegetation carbon pool sampling method, we conducted phytosociological inventories during two periods: 2018–2019 (initial) and 2021–2022 (revisit). A sum of 180 sample plots (0.1&#xa0;ha each) was surveyed across 45 stratified random locations, with each location comprising four nested plots within a 250 × 250-m macro plot.&#xa0;The initial inventory recorded 39,793 individual trees, representing 107 tree species from 89 genera and 33 families. During the revisit, previously tagged trees were re-measured. AGB estimates for both periods were derived through R BIOMASS package. The mean annual increments were calculated at 1.266&#xa0;Mg&#xa0;ha⁻<sup>1</sup>&#xa0;year⁻<sup>1</sup> for AGB and 0.595&#xa0;Mg&#xa0;C&#xa0;ha⁻<sup>1</sup>&#xa0;year⁻<sup>1</sup> for AGC, with highest growth observed in the 60–90&#xa0;cm girth class. The field derived AGB estimates were compared with remote sensing AGB products for 2019 to 2022. The results showed modest positive correlations with field values (R<sup>2</sup> = 0.37 for 2019; R<sup>2</sup> = 0.34 for 2022), indicating notable uncertainties in remotely sensed AGB estimates. These findings underscore the importance of integrating field data with remote sensing products to enhance the accuracy of biomass assessment. Such integrative approaches are vital for accurate carbon stock assessment and informed forest management strategies.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Comparison of Field Measured Aboveground Biomass C-stock Change (2019–2022) and Satellite-Derived Biomass in the Tropical Forests of Eastern Ghats

  • 期刊论文

  • 发表日期：

    2026年3月9日

查看全文
  • Prakash Paraseth,
  • Shaik Vazeed Pasha,
  • Vinay Kumar Dadhwal,
  • Kakoli Banerjee

摘要

Reliable estimates of aboveground biomass (AGB) are essential for aboveground carbon (AGC) accounting, biodiversity monitoring, and sustainable forest management. However, limited efforts have been made to compare carbon fluxes over time using both field-based and remote sensing approaches. To address this gap, the present study investigates carbon-fluxes in the Southern Eastern Ghats of Odisha. Using the Vegetation carbon pool sampling method, we conducted phytosociological inventories during two periods: 2018–2019 (initial) and 2021–2022 (revisit). A sum of 180 sample plots (0.1 ha each) was surveyed across 45 stratified random locations, with each location comprising four nested plots within a 250 × 250-m macro plot. The initial inventory recorded 39,793 individual trees, representing 107 tree species from 89 genera and 33 families. During the revisit, previously tagged trees were re-measured. AGB estimates for both periods were derived through R BIOMASS package. The mean annual increments were calculated at 1.266 Mg ha⁻1 year⁻1 for AGB and 0.595 Mg C ha⁻1 year⁻1 for AGC, with highest growth observed in the 60–90 cm girth class. The field derived AGB estimates were compared with remote sensing AGB products for 2019 to 2022. The results showed modest positive correlations with field values (R2 = 0.37 for 2019; R2 = 0.34 for 2022), indicating notable uncertainties in remotely sensed AGB estimates. These findings underscore the importance of integrating field data with remote sensing products to enhance the accuracy of biomass assessment. Such integrative approaches are vital for accurate carbon stock assessment and informed forest management strategies.