Integrating remotely sensed imagery in a forest gap model to study North American boreal forests in a changing world

Boreal forests of Alaska and Western Canada are experiencing rapid climate change characterized by higher temperatures, more extreme droughts, and changing disturbance regimes, resulting in forest mortality and composition changes. Mechanistic models are increasingly important for predicting future...

詳細記述

書誌詳細

主要な著者:	Shelby Sundquist, David Lutz, Adrianna Foster, Peter Fulé, Scott Goetz
フォーマット:	Artigo
言語:	Inglês
出版事項:	IOP Publishing 2024-01-01
シリーズ:	Environmental Research: Ecology
主題:	UVAFME boreal forest climate change individual-based model initial conditions remote sensing
オンライン･アクセス:	https://doi.org/10.1088/2752-664X/ad7d94
タグ:	タグ追加 タグなし, このレコードへの初めてのタグを付けませんか!