F3: Simulating spatiotemporal forest change from field inventory, remote sensing, growth modeling, and management actions

摘要: Abstract Contemporary forest management requires highly-detailed, spatially-contiguous, multi-temporal, and scenarios-comparable conditions. Field inventories individual-tree models often contain highly-detailed data allow for long-term complex scenarios comparison, but the information is only at sampled locations lacks complete spatial coverage. Forest landscape (FLMs) provide landscape-level spatiotemporal data, details that are important to land managers lost in generalized outputs. We developed a modeling framework, F3, integrate FIA (Forest Inventory Analysis) plots, Vegetation Simulator (FVS), FastEmap (Field And SatelliTe Ecosystem MAPping) simulate change under natural succession vegetation management. F3 extrapolates of inventory plots model outputs spatially-contiguous by fusing tree-list field measurements, individual tree growth yield models, remote sensing environmental geospatial datasets. allows area-specific action simulations. compares FVS results with measurements temporal accuracy assessment uses leave-one-out cross-validation assessment. adopts parallel computation techniques implement an automatic efficient manner. The proof concept was demonstrated Tahoe National (TNF) showing changes on six structural metrics (quadratic mean diameter, basal area, biomass, habitat suitability index, canopy cover, coarse woody debris) succession, regeneration-cut, thinning years 2014–2114 30 m resolution. can be used initializing FLMs analyzing wide range ecosystem services; however, under-representation certain types plot set, bias from FVS, choice covariates contribute major uncertainties framework.