1. Temperature Loggers Capture Intraregional Variation of Inundation Timing for Intermittent Ponds.
- Author
-
Gendreau, Kerry L., Buxton, Valerie L., Moore, Chloe E., and Mims, Meryl C.
- Subjects
HIDDEN Markov models ,FLOODS ,PONDS ,LOGGERS ,ECOSYSTEM dynamics - Abstract
Hydroperiod, or the amount of time a lentic waterbody contains water, shapes communities of aquatic organisms. Precise measurement of hydroperiod features such as inundation timing and duration can help predict community dynamics and ecosystem stability. In areas defined by high spatial and temporal variability, fine‐scale temporal variation in inundation timing and duration may drive community structure, but that variation may not be captured using common approaches including remote sensing technology. Here, we provide methods to accurately capture inundation timing by fitting hidden Markov models to measurements of daily temperature SD collected from temperature loggers. We describe a rugged housing design to protect loggers from physical damage and apply our methods to a group of intermittent ponds in southeastern Arizona, showing that initial pond inundation timing is highly variable across a small geographic scale (∼50 km2). We also compare a 1‐logger (pond only) and 2‐logger (pond + control) design and show that, although a single logger may be sufficient to capture inundation timing in most cases, a 2‐logger design can increase confidence in results. These methods are cost‐effective and show promise in capturing variation in intraregional inundation timing for a range of temporary lentic habitats that may have profound effects on aquatic communities, with implications for how these communities may respond to hydroperiod alteration from a changing climate. Key Points: Hydroperiod inundation timing and duration are key factors that drive many biotic processes in temporary lentic watersTools to assess fine‐scale hydroperiod dynamics are needed to understand and predict responses of lentic habitats to a changing climateUse of temperature loggers and hidden Markov models are a cost‐effective and reliable way to estimate hydroperiod dynamics [ABSTRACT FROM AUTHOR]
- Published
- 2021
- Full Text
- View/download PDF