Technical Reports: Methods—The Application of Temperature and Light Intensity as Intermittency Sensors in a Temporary Pond

Author:

Campbell Gavin R.1ORCID,Hyslop Eric J.1ORCID

Affiliation:

1. Department of Life Sciences University of the West Indies Kingston Jamaica

Abstract

AbstractAs climate change progresses, hydrological regimes of temporary and perennial water bodies are projected to change, affecting biodiversity and ecosystem functioning. Researchers have successfully employed the use of satellite imagery, camera traps and site visits to map these changes in hydrological regimes. Data loggers of conductivity have also been used in mapping hydrological regimes, but the use of data loggers of temperature and light intensity is uncommon. Using validated data of 213 days of the aquatic and terrestrial phases of a temporary pond, we show that metrics of temperature and light intensity can be used to discern hydrological state. The aquatic phase had lower measures of both parameters when compared to the terrestrial phase. This was attributed to the high specific heat of the aquatic environment and the absorption and redirection of light in water. The most powerful metrics in discerning hydrological state were diel temperature range, diel maximum temperature and light intensity standard deviation. Greater distinctive power was obtained through the use of multiple metrics of the parameters. In addition, key events such as flooding and drying were identifiable within metrics of both parameters. High‐resolution temperature and light intensity data are able to aid in understanding the dynamics of hydrological state and can be used to monitor ecosystem functions amid changes in temporary and perennial water bodies.

Funder

University of the West Indies

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Reference35 articles.

1. Light in shallow waters: A brief research review

2. Electrical Resistance Sensors Record Spring Flow Timing, Grand Canyon, Arizona

3. Automated analysis of temperature variance to determine inundation state of wetlands

4. A Statistical Method to Predict Flow Permanence in Dryland Streams from Time Series of Stream Temperature

5. Detecting water bodies and water related features in the Niger basin area by SAR data: The ESA TIGER WADE project;Arledler A.;Application of Satellite Remote Sensing to Support Water Resources Management in Africa: Results from the TIGER Initiative,2010

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