Improved aboveground biomass estimation and regional assessment with aerial lidar in California’s subalpine forests

Background Understanding the impacts of climate change on forest aboveground biomass is a high priority for land managers. High elevation subalpine forests provide many important ecosystem services, including carbon sequestration, and are vulnerable to climate change, which has altered forest struct...

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Veröffentlicht in:	Carbon balance and management Jg. 19; H. 1; S. 41
Hauptverfasser:	Winsemius, Sara, Babcock, Chad, Kane, Van R., Bormann, Kat J., Safford, Hugh D., Jin, Yufang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Cham Springer International Publishing 20.12.2024 Springer Nature B.V BMC
Schlagworte:	Aboveground biomass altitude Bayesian analysis Bayesian hierarchical spatial modeling Bayesian theory Biomass California Carbon Carbon footprint Carbon monitoring Carbon sequestration Climate change Dead wood Disturbances Earth and Environmental Science Ecosystem management Ecosystem services Ecosystems Emissions trading Environment Environmental accounting Environmental impact Environmental Management Estimates Forest biomass Forest management forest types Forestry Forests Geostatistics inventories Land management Landsat Lidar Mapping Mathematical models model uncertainty Modelling mountains Regional analysis Remote sensing Satellite data Satellite imagery Standard error Subalpine environments Subalpine forests Sustainability reporting Uncertainty Vegetation structure woody biomass United States > US California Nevada Subalpine forests Bayesian hierarchical spatial modeling Vegetation structure Carbon monitoring Remote sensing Aboveground biomass
ISSN:	1750-0680, 1750-0680
Online-Zugang:	Volltext
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