Representativeness of biometric and flux tower data in landscapes for scaling carbon measurements
Kristofer
Johnson, USDA Forest Service, kristoferdjohnson@fs.fed.us
(Presenter)
In carbon cycle modeling, a well known gap exists between large-scale model outputs and small-scale measurements designed to capture carbon cycle processes. To help bridge this gap, a network of intensive measurement sites of intermediate sampling density and intensity were established in several locations. In order to be truly effective in providing information to parameterize and validate ecosystem models, however, there needs to be confidence that the area within the sites are representative of areas surrounding the site for a certain domain. In this study, our goal was to assess the representativeness of intensive measurement sites at Silas Little and Bartlett Experimental Forests to their surrounding areas. The carbon measurements of interest were Aboveground Biomass (AGB), Net Primary Production (NPP), and Net Ecosystem Exchange (NEE). Preliminary results will show how well intensive measurement sites represent soils, topography, landcover and LIDAR conditions and their cross distributions. In this way, one can identify areas where the processes are captured or not captured for different spatial scales and improve the reliability of measurement data utilized for modeling purposes. Presentation Type: Poster Session: Global Change Impact & Vulnerability (Tue 11:30 AM) Associated Project(s):
Poster Location ID: 219
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