ジンバブエ・フウェザ地区のミオンボ林地における30年間の土地被覆変化と潜在的炭素損失（1990-2020年）
Three Decades of Land-Cover Change and Potential Carbon Loss in Miombo Woodlands of Hwedza District in Zimbabwe (1990-2020) (原題)
Edwin Nyamugadza, Sara Feresu, Billy Mukamuri, Clemence Zimudzi
🤖 gxceed AI 要約
日本語
ジンバブエのフウェザ地区を対象に、Landsat画像とGoogle Earth Engineを用いて1990〜2020年の土地被覆変化を分析し、Tier 1ストック差分法で炭素損失を推計した。森林被覆は45%から37.6%へ減少し、約24,949haが農地等へ転換、30年間で約360万tCO₂eの排出が推定された。持続可能な土地管理が国の気候変動報告義務達成に重要だと結論づける。
English
Using Landsat imagery in Google Earth Engine, this study mapped land-cover change in Hwedza District, Zimbabwe (1990-2020) and estimated carbon loss via the Tier 1 stock-difference approach. Forest cover fell from 45% to 37.6%, with ~24,949 ha converted to cropland and other uses, yielding an estimated 3.6 million tCO2e of emissions over 30 years. It argues sustainable land management is key to meeting national climate reporting commitments.
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
日本企業にとって直接の開示要件には直結しないが、Scope 3上流の土地利用変化（FLAG）や森林由来クレジット、サプライチェーン調達リスクを考える際の途上国データ事例として参考になる。
In the global GX context
Adds district-level empirical evidence on LULC-driven emissions in African miombo woodlands, relevant to global land-use/FLAG accounting and REDD+ discussions under UNFCCC reporting, though it does not engage TCFD/ISSB disclosure frameworks directly.
👥 読者別の含意
🔬研究者:アフリカ・ミオンボ林地におけるLULCと炭素ストック変化の定量手法（GEE＋Tier 1）の実例として有用。
🏢実務担当者:FLAG・土地利用由来排出や森林クレジット調達を検討する企業のサプライチェーン評価の参考データになる。
🏛政策担当者:途上国における森林保全政策と国別報告書（GHGインベントリ）整備の重要性を示す事例として参考になる。
📄 Abstract（原文）
Land-use and land-cover change (LULC) has lately emerged as the main driver of land-use change and degradation globally, particularly in miombo landscapes. Miombo woodlands, whose extent covers most parts of southern African countries, play an important role in carbon sequestration and storage, while supporting millions of rural livelihoods. Despite uplifting and improving rural livelihoods, these woodlands are under threat from various anthropogenic activities including agricultural expansion, charcoal production and urban development. Through integration of multi-temporal remote sensing and carbon stock assessment at district level, the study provides substantial evidence on the effect of LULC on carbon stocks particularly the above-ground and below-ground carbon storage for miombo woodlands in Hwedza District, Zimbabwe. Landsat data processed in the Google Earth Engine was used to generate land[1]use maps for the years 1990, 2000, 2010 and 2020. Post[1]classification analysis produced a land-use matrix. Carbon stock changes from forest land to other land uses were estimated using the Tier 1 stock-difference approach. Forest cover declined from 45% in 1990 to 37.6% in 2020, coupled with an increase in cropland and grassland. About 24 949 ha of forests were converted to cropland and other land uses, resulting in estimated emissions of 3.6 million tCO₂e over 30 years. The findings demonstrate the importance of sustainable land management practices that promotes continued suppression of emissions associated with LULC, which is key to the attainment of the country‘s climate change commitments in various reporting obligations under the convention.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.71458/wcsyvw72first seen 2026-09-12 04:58:09
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