ncx-co / ifm_deferred_harvest

Documents, Data, and Code. The NCX Methodology For Improved Forest Management (IFM) Through Short-Term Harvest Deferral.
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Public Comment: 224 (Kyle Holland) #224

Closed ncx-gitbot closed 1 year ago

ncx-gitbot commented 1 year ago

Commenter Organization: EP Carbon

Commenter: Kyle Holland

2021 Deferred Harvest Methodology Section: No Section Indicated

Comment: The methodology fails to provide criteria for model validation to infer unbiasedness. Given that crediting is largely a function of the harvest risk factor π‘Ÿ, Appendix A should specify methods to demonstrate unbiasedness in model used estimated of π‘Ÿ, in addition to requirements to assess predictive uncertainty in π‘Ÿ. Specifically, the methodology should give procedures for statistical cross validation of the model to demonstrate that the model is unbiased in the prediction of π‘Ÿ across the entire domain of the selected model. Further, it should provide specific criteria for model selection, such as the use of AIC, to ensure models are not over parameterized. Where a remote-sensing model is used to estimate 𝐢𝑑0 , the methodology should require the use of VT0005 Tool for measuring aboveground live forest biomass using remote sensing.

Proposed Change: No Proposed Change

ncx-gitbot commented 1 year ago

NCX response: The business as usual model is a hierarchical statistical model that predicts one-year harvest risk and intensity based on FIA training data and a suite of covariates that include geographic, biological, economic, and sociological factors. Partial pooling across forest types ensures that the model is able to leverage the similarity and ubiquity of covariate relationships across the forests of the continental U.S. while still allowing for regionally specific differences.