Quantifying and mitigating bias and increased variability when using large-scale estimates of forests for subdomains

Quantifying and mitigating bias and increased variability when using large-scale estimates of forests for subdomains

This paper presents an empirical method to calculate a conservative discount factor when applying a large-scale estimate to an internal subset of areas (subdomains) that accounts for both the precision (variability) and potential bias of the estimate of the subset (i.e., the small area estimated wit...

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Bibliographic Details
Main Authors: Jordan Golinkoff, Mauricio Zapata-Cuartas, Emily Witt, Adam Bausch, Donal O’Leary, Reza Khatami, Wu Ma
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-02-01
Series:Frontiers in Forests and Global Change
Subjects:
forest carbon accounting
small area estimation
carbon offsets from forest projects
uncertainty
climate change
forest loss and degradation
Online Access:https://www.frontiersin.org/articles/10.3389/ffgc.2025.1501303/full
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https://www.frontiersin.org/articles/10.3389/ffgc.2025.1501303/full

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