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James H Thorne

This project is working closely with web developers (California Climate Commons, http://climate.calcommons.org; and the California Landscape Conservation Cooperative) to provide user-friendly tools and guidance from site to regional scales with direct feedback from natural resource managers for utility, understandability, relevance, and accessibility. Ongoing projects and relationships across multiple disciplines, organizations, and applications provide this forum. An important aspect of the project was to build capacity of the Commons and engage a larger management community in issues associated with water availability/water supply analysis.
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These data support poscrptR (Wright et al. 2021). poscrptR is a shiny app that predicts the probability of post-fire conifer regeneration for fire data supplied by the user. The predictive model was fit using presence/absence data collected in 4.4m radius plots (60 square meters). Please refer to Stewart et al. (2020) for more details concerning field data collection, the model fitting process, and limitations. Learn more about shiny apps at https://shiny.rstudio.com. The app is designed to simplify the process of predicting post-fire conifer regeneration under different precipitation and seed production scenarios. The app requires the user to upload two input data sets: 1. a raster of Relativized differenced Normalized...
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This data consists of presence/absence observations for post-fire conifer regeneration. The data also includes estimates of plot-level topography (slope, aspect), relativized differenced normalized burn ratio (RdNBR), post-fire climate, live basal area, and seed rain. These data support the following publication: Stewart, J.A.E., van Mantgem, P.J, Young, D.J.N., Shive, K.L., Preisler, H.K., Das, A.J., Stephenson, N.L., Keeley, J.E., Safford, H.D., Wright, M.C., Welch, K.R., Thorne, J.H. 2020. Influence of variable postfire climate and seed production on postfire conifer regeneration. Ecological Applications. https://doi.org/10.1002/eap.2280
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