Capturing spatiotemporal variation in salt marsh belowground biomass, a key resilience metric, through geoinformatics

Capturing spatiotemporal variation in salt marsh belowground biomass, a key resilience metric, through geoinformatics

Abstract The Belowground Ecosystem Resiliency Model (BERM) is a geoinformatics tool that was developed to predict belowground biomass (BGB) of Spartina alterniflora in salt marshes based on remote sensing of aboveground characteristics and other readily available hydrologic, climatic, and physical d...

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Bibliographic Details
Main Authors: Kyle D. Runion, Deepak R. Mishra, Merryl Alber, Mark A. Lever, Jessica L. O'Connell
Format: Article
Language:English
Published: Wiley 2024-12-01
Series:Ecosphere
Subjects:
Belowground Ecosystem Resiliency Model
climate change
Georgia coast
machine learning
productivity
remote sensing
Online Access:https://doi.org/10.1002/ecs2.70110
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https://doi.org/10.1002/ecs2.70110

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