Spatial predictions of conifer regeneration after wildfire may help managers prioritize reforestation efforts: Research Brief
/Recent work by researchers from U.C. Berkeley and the U.S. Forest Service has produced a spatially-explicit predictive model that can be used to forecast where regeneration of (non-serotinous) conifers is most likely to occur after wildfire. This predictive model combines seed availability with climatic, topographic, and burn severity data to forecast the spatial patterns of post-fire conifer regeneration
Shive, K. L., Preisler, H. K., Welch, K. R., Safford, H. D., Butz, R. J., O'Hara, K. and Stephens, S. L. 2018. From the stand scale to the landscape scale: predicting the spatial patterns of forest regeneration after disturbance. Ecological Applications 28: 1626-1639. https://doi.org/10.1002/eap.1756
