Characterising forest landscapes using a stationary and a roving tower eddy covariance system: linking point data to landscape-level characterisations of growth and yeild

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The proposed work involves the development of a landscape-level model of forest growth by extending an existing 10 parameter net ecosystem productivity (NEP) model to the landscape by linking the model's monthly growth projections to local biophysical conditions. These conditions are to be derived by combining remote sensing-based images of temperature and leaf area with landscape-level simulations of solar radiation and soil water content. Forest ecosystem characterisation and NEP model parameter setting are to be based on information collected by a stationary base station and roving tower system. The 37-m stationary tower will provide long term base weather and ecological data. This information along with NEP and weather data collected at forest sites with a roving tower will be used to (1) derive the required forest-specific growth parameters for different forest cover, and (2) extend 2-3 week-long time series of NEP for application at the landscape level. Linking point-measurements of NEP to forest growth is innovative; however, the proposed project takes this work a step further by applying the calculations to a modelled forest landscape at spatial scales appropriate for forest management planning.