土地の表面モデリングアプリケーションに適した高解像度カナダ領域の干渉フォースリング
Jason Beaver1,2, Salvatore R Curasi3,4,5, Joe R Melton6
1Department of Geography & Environmental Studies, Carleton University, Ottawa, ON, Canada.
Scientific data
|August 22, 2025
まとめ
この研究は,炭素循環の土地表面モデル (LSM) のシミュレーションを改善するために,1740年から2018年のカナダの火災と収穫データを再構築しています. 森林の炭素の動態の理解を深めるのです
科学分野:
- エコロジー
- 林業
- 気候科学
背景:
- 土地表面モデル (LSM) の炭素循環のシミュレーションには,空間的に明白な火災と収穫データが不可欠です.
- 既存のカナダの干渉データセットは1984年以前に限られており,長期の炭素循環モデリングを妨げています.
研究 の 目的:
- LSMのシミュレーションのために1740-2018をカバーするカナダの空間的に明示的な干渉ドライバーを作成します.
- スタンダード・エイジを用いて過去の混乱データを再構築するための新しいアルゴリズムを開発する.
主な方法:
- 空間的および非空間的干渉データセットのカタログ化と調和
- 歴史的な火災と収穫データを スタンド年齢を使って再構築する 新しいアルゴリズムの開発
- 限られたデータを持つ期間の再構築されたデータで利用可能な空間記録を補完する.
主要な成果:
- 1740年から1918年のカナダにおける火の283-394マハと収穫の3.42マハを再構成した.
- 1918年以降の火の25.79~60.30マハと収穫の24.75マハを再構築した.
- 主に森林地帯の干渉を捕捉する干渉ドライバーを開発した.
結論:
- 新しい干渉要因は,カナダの陸上の炭素循環に干渉による影響の表現を改善します.
- 開発されたアルゴリズムとフォースは,炭素循環モデリングの改善のために他の領域に適用できる可能性があります.
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