Assessment of root disease occurrence and severity estimated from climate models with Forest Inventory and Analysis (FIA) data

Abstract

Two new climate-based root disease models have been developed for Region 1. One model provides estimates of climatic suitability for root disease and the other provides estimates of potential root disease severity. These models were developed using root disease presence and severity data collected on Forest Inventory and Analysis (FIA) plots and incorporate climatic and biophysical variables to estimate the spatial distributions of suitable climate for root disease and potential severity where root disease may occur. The model outputs are assigned to VMap polygons via ancillary tables. Herein, we compared the numerical outputs from these two models to analogous values derived from the 2011 FIA hybrid summary database for each of the National Forests in Region 1. Maps were also created for each Forest to compare the spatial distributions of root disease occurrence and severity estimated from both the FIA summary database and the climate-based root disease models.

Citation

Bennett, Patrick; Egan, Joel; Cleaver, Christy; Zambino, Paul; Costanza, Kara. 2022. Assessment of root disease occurrence and severity estimated from climate models with Forest Inventory and Analysis (FIA) data. R1-NR-22-01. Missoula, MT: U.S. Department of Agriculture, Forest Service, Northern Region, Forest Health Protection. 49 p.