Harvard Forest REU Symposium Abstract 2021

Title: A Model and Itâ€™s Inputs: Understanding sources of uncertainty for a model of carbon flux dynamics within Harvard Forest
Author: Xaun A Wilson (Howard University)
Abstract:
Forests are important for greenhouse gas mitigation. To understand the strength of their impact, I am studying Net Ecosystem Exchange (NEE) rates in a broadleaf deciduous forest in the North Eastern U.S using the SIPNET model. The SIPNET model is a simplified ecosystem model which uses carbon pools to forecast NEE rates one to 35 days into the future. The primary objective of my project is to understand the impact of ecosystem model inputs on overall model uncertainty. I ran the SIPNET model from June 1st, 2021 through June 30th, 2021 to compare outputs of the forecast when one input is allowed to vary while all others are held constant. Understanding data contributions to forecast uncertainty advances our ability to optimize data collection for improved model outcomes.
Research Category: Ecological Informatics and Modelling; Forest-Atmosphere Exchange

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