An Open-Source, Durable, and Low-Cost Alternative to Commercially Available Soil Temperature Data Loggers

Area of Science:

• Environmental science
• Ecology
• Educational technology

Background:

• Soil temperature is critical for organism distribution and function, but spatial variability and monitoring costs are significant challenges.
• Existing soil temperature monitoring relies on expensive data logger networks, limiting widespread data collection.
• Understanding soil temperature dynamics is essential for ecological research and predicting species distributions.

Purpose of the Study:

• To develop and validate an open-source, low-cost do-it-yourself (DIY) soil temperature data logger.
• To create accessible online resources for constructing the DIY data logger.
• To assess the accuracy, reliability, and cost-effectiveness of the DIY logger compared to commercial systems.

Main Methods:

• Designed and constructed an open-source soil temperature data logger.
• Tested the DIY data loggers in laboratory and field conditions in Alaska.
• Evaluated logger accuracy against commercial systems and assessed field performance and failure rates.

Main Results:

• The DIY data logger demonstrated comparable accuracy to commercial systems (1-2% mean absolute error).
• Loggers performed reliably in field deployments, with less than 10% failure in the first year.
• The DIY system was significantly less expensive (1.7-7 times) than commercial alternatives.

Conclusions:

• The developed DIY soil temperature data logger is an accurate, reliable, and cost-effective alternative for environmental monitoring.
• This open-source tool can increase the spatial resolution of soil temperature data collection, benefiting ecological research.
• The project serves as an effective educational resource, promoting STEM engagement and accessibility.