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Tracking microhabitat temperature variation with iButton data loggers.

Susan Fawcett1, Seeta Sistla2, Manny Dacosta-Calheiros3

  • 1Pringle Herbarium, Department of Plant Biology University of Vermont 63 Carrigan Drive Burlington Vermont 05401 USA.

Applications in Plant Sciences
|April 27, 2019
PubMed
Summary
This summary is machine-generated.

Temperature and humidity data loggers (iButtons) offer valuable microclimate data for ecological and agricultural studies. However, challenges exist with soil moisture measurements and data processing, requiring specific protective measures and analytical tools.

Keywords:
crop wild relativesfern ecologyflowering timemicroclimateniche modelingphenologysolar

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Area of Science:

  • Ecology
  • Environmental Science
  • Agricultural Science

Background:

  • Microclimates, driven by fine-scale temperature and soil moisture variations, significantly influence plant life cycles and distribution.
  • The advent of affordable data loggers like iButtons has enabled detailed microclimate research.

Purpose of the Study:

  • To demonstrate the application of iButtons for microclimate data collection in diverse ecological and agricultural contexts.
  • To identify challenges and provide solutions for utilizing iButton data effectively.

Main Methods:

  • Empirical data collection using iButtons for rare fern species in eastern North America.
  • Fine-scale microclimate data generation to predict crop wild relative phenology in Anatolia.
  • Thermal variation assessment of solar array installations in Vermont.

Main Results:

  • iButtons provided valuable microclimate data for ecological and agricultural research.
  • The study identified limitations in iButton's soil moisture sensing capabilities (Hygrochron function).
  • Effective methods for protecting iButtons and processing their data were explored.

Conclusions:

  • iButtons are useful for microclimate research but require careful consideration of their limitations, especially for soil moisture.
  • Protective strategies and data processing tools (MATLAB code provided) are essential for reliable iButton data.
  • Further research may be needed to overcome specific sensor limitations.