アフリカの乾燥地における個々の木の亜大陸規模の炭素貯蔵量
Compton Tucker1, Martin Brandt2,3, Pierre Hiernaux4,5
1Earth Science Division, NASA Goddard Space Flight Center, Greenbelt, MD, USA. compton.j.tucker@nasa.gov.
Nature
|March 1, 2023
まとめ
この研究では 衛星データと機械学習を用いて サハラ以南のアフリカの 乾燥地の樹木の炭素貯蔵量を定量化しています 炭素の計算と土地の復元を助長する モデルによって著しく過小評価されていることが 明らかになりました
科学分野:
- エコロジー
- 環境科学
- リモートセンシング
背景:
- 乾燥地帯の樹木の分布,密度,炭素含有量は,大規模では十分に理解されていません.
- 正確なデータは生態保護,炭素会計,気候緩和,乾燥地の生態系の回復に不可欠です.
研究 の 目的:
- サハラ以南の 半乾燥地帯の樹木の分布,密度,炭素含有量を 評価する
- 炭素の計算と復旧計画のための包括的なデータベースを提供すること.
主な方法:
- フィールドデータ,機械学習,衛星画像,高性能コンピューティング
- 木の評価のために30万枚以上の衛星画像を分析した.
- 樹木,葉,根の炭素を 個々の木に割り当てます
主要な成果:
- 試験地域における炭素の総貯蔵量は0.84ペタグラム (Pg C) と見積もられている.
- 平均的な炭素貯蔵量は0.54 Mg C ha−1 (乾燥) から3.7 Mg C ha−1 (低湿) まで変化した.
- TRENDYモデルと比較すると,様々なシミュレーションにより,密度と炭素貯蔵量の過小評価が示されました.
結論:
- この研究は,乾燥地の樹木の炭素貯蔵量に関する強力なデータセットを提供し,以前の推定値よりも正確さを向上させました.
- シミュレーションモデルとのベンチマークは,不一致を明らかにし,炭素循環の理解を深めるのに役立ちます.
- 公開されているデータベースは,科学者や政策立案者,そして実務者に土地管理と復元に関する情報に基づいた意思決定を可能にします.
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