Calibrating the data logger…
Understanding the abiotic drivers of high-elevation forest physiognomy is essential for forecasting how mountain ecosystems will respond to emerging environmental pressures. Most prior studies of these relationships have relied on small samples of the full landscape, resulting in limited power to detect dominant covariates and their interactions. Here we report the first evaluation of abiotic influences on a complement of accurate, wall-to-wall estimates of conifer forest structure and composition at the watershed scale. In a subalpine conifer domain in the Colorado Rocky Mountains (USA), we developed a novel method for deriving stand structure metrics from waveform LiDAR data, which showed high fidelity with field inventory. We quantified the relationships between structural and compositional metrics and climate, topographic, edaphic, and geologic factors. Our results showed that peak snow water equivalent (SWE), snow disappearance rate, and elevation explained most of the variation in forest structure. The highest stand density, basal area, maximum canopy height, and quadratic mean diameter occurred in sites with SWE around one standard deviation below mean, but with long snow residence times. Stand density decreased linearly with elevation, while other metrics peaked between 3000 m.a.s.l. and 3200 m.a.s.l. Substrate properties had weaker influence. Continuous mapping of through-canopy forest structure enabled our novel findings of the dominant role of snowpack in explaining structural and compositional variation, and of elevation thresholds. Our reproducible approach facilitates assessment of forest-topoclimate relationships in other conifer-dominated landscapes and improves understanding of the baseline patterns controlling forest structure, which is needed for predicting long-term ecological change. • Novel waveform LiDAR workflow yields accurate subalpine conifer forest metrics. • Snow and elevation explain the most variation in forest structure and composition. • Maximum stand density and stature map water-energy limitation thresholds. • Species composition mediates snow effects on stand density.
Knowledge graph centered on Abiotic influences on continuous conifer forest st with 44 nodes and 145 connections. Top connected: Spruce, Vegetation and environmental patterns in the Crest, Populus, Populus tremuloides, Picea engelmannii.
Items connected by shared entities, co-authorship, citations, or semantic similarity.
10 in Knowledge Commons, 110 external