Assessing forest cover and CO2 emissions in portuguese-speaking countries and China: a comparative remote sensing approach
ポルトガル語圏諸国と中国における森林被覆とCO2排出量の評価:比較リモートセンシングアプローチ (AI 翻訳)
Isaú Alfredo B. Quissindo
🤖 gxceed AI 要約
日本語
本研究は、2001年から2024年にかけてのポルトガル語圏諸国と中国の森林被覆動態とCO2排出量を、衛星データを用いて比較評価した。その結果、ブラジルと中国が地上部炭素蓄積量の約99%、森林減少に伴うCO2排出量の80%以上を占める一方、アフリカ諸国では農業拡大等による緩やかな森林減少が確認された。全体として、熱帯・亜熱帯の大国が森林炭素収支に過大な影響を及ぼしていることが明らかになった。
English
This study assesses forest cover dynamics and CO2 emissions across Portuguese-speaking countries and China from 2001 to 2024 using satellite data. Brazil and China account for nearly 99% of aboveground carbon stocks and over 80% of emissions from forest loss. Sub-Saharan African countries show moderate deforestation due to agriculture and charcoal, while island states have stable forests. The study emphasizes the need for harmonized monitoring and coordinated policies for forest sustainability.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本とは直接的な関連は薄いが、森林炭素モニタリングの国際比較事例として、日本の森林CO2吸収源評価や国際協力の参考になる可能性がある。
In the global GX context
This paper provides a comparative forest-carbon assessment across diverse geographies, contributing to global discussions on REDD+ and carbon accounting. It highlights the disproportionate impact of large tropical countries, reinforcing the need for coordinated satellite-based monitoring and policy frameworks.
👥 読者別の含意
🔬研究者:Provides a multi-country comparison of forest cover and CO2 emissions using remote sensing, useful for understanding spatial heterogeneity in forest-carbon dynamics.
🏛政策担当者:Highlights the importance of land-use governance and reforestation programs for climate mitigation, relevant for international forest policy frameworks.
📄 Abstract(原文)
This study provides an integrated comparative assessment of forest cover dynamics and CO₂ emissions across Portuguese-speaking countries and China from 2001 to 2024, using satellite-based datasets derived from Hansen’s Global Forest Change and Global Forest Watch. The analysis combines Landsat-derived forest metrics with CO₂ emission estimates to characterise temporal trends and spatial heterogeneity in forest change processes. Results reveal pronounced geographical contrasts. Brazil and China together account for nearly 99% of total aboveground carbon stocks and more than 80% of CO₂ emissions associated with forest cover loss. In Brazil, emissions are primarily driven by continued deforestation and forest degradation in tropical biomes, whereas China’s extensive reforestation and afforestation programmes have partially offset earlier losses, contributing to net carbon gains in several regions. In sub-Saharan Africa, Angola and Mozambique exhibit moderate but persistent forest decline, driven by agricultural expansion, charcoal production, and recurrent fire disturbances. By contrast, smaller island states such as São Tomé and Príncipe, Cape Verde, and Timor-Leste show negligible forest loss, reflecting relatively stable land-use patterns, albeit with limited forest extent. Portugal represents an intermediate case, where wildfire-related losses constitute the dominant driver of forest cover change. Overall, these patterns demonstrate that large tropical and subtropical countries play a disproportionate role in regional and global forest–carbon balances. Strengthening land-use governance, promoting sustainable forest management, and expanding reforestation programmes are essential to maintaining carbon sequestration capacity and mitigating climate-related risks across Lusophone and Asian contexts. The findings underscore the importance of harmonised monitoring systems and coordinated policy frameworks to achieve long-term forest sustainability and emission reduction targets.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.31492/2184-2043.rilp2026.49/pp.131-148first seen 2026-06-29 09:08:20
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