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Modeling Soil Fluxes with NEON Data

Author(s): John Zobitz

Augsburg College

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Summary:
This activity is an exploratory activity to understand rates of change of soil carbon dioxide in different ecosystems using data provided by the National Ecological Observatory Network (NEON, https://www.neonscience.org). Objectives of the activity…

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This activity is an exploratory activity to understand rates of change of soil carbon dioxide in different ecosystems using data provided by the National Ecological Observatory Network (NEON, https://www.neonscience.org). Objectives of the activity are (1) Understand the dynamic environmental and biological properties affecting soil CO2 efflux; (2) Apply Fick's Law of Diffusion to estimate of soil gas efflux; and (3) Investigate a multi-year timeseries of soil water content, soil temperature, and soil gas efflux derived from Fick's Law to infer process-level changes in soil CO2 efflux.

Licensed under CC Attribution-ShareAlike 4.0 International according to these terms

Version 1.1 - published on 06 May 2024 doi:10.25334/ZYWW-R139 - cite this

Keywords

  1. modeling
  2. data analysis
  3. plant/soil/water interactions

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Description

This activity can be used in an introductory biology course or mathematical modeling course to explore mathematical modeling with scientific and biological data.  The goal is for students to connect key biological processes: carbon cycle, respiration to environmental measurements (temperature and water) and then evaluate environmental (e.g as temperature and water) and phyiscal (e.g. diffusion) factors that influence belowground how carbon dioxide is transported through the soil to the atmosphere.

A secondary outcome of this lab is to explore data and products provided by the National Ecological Observatory Network (NEON, https://www.neonscience.org). This activity could be a good introduction of NEON. Future class sessions could work through the process of accessing and plotting NEON data.

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