2019
DOI: 10.5194/hess-23-2965-2019
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Quantifying thermal refugia connectivity by combining temperature modeling, distributed temperature sensing, and thermal infrared imaging

Abstract: Abstract. Watershed-scale stream temperature models are often one-dimensional because they require fewer data and are more computationally efficient than two- or three-dimensional models. However, one-dimensional models assume completely mixed reaches and ignore small-scale spatial temperature variability, which may create temperature barriers or refugia for cold-water aquatic species. Fine spatial- and temporal-resolution stream temperature monitoring provides information to identify river features with incre… Show more

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Cited by 29 publications
(30 citation statements)
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“…This improvement was even larger when the thermal imagery was calibrated with in-situ measurements (76%). These results indicate the added value of thermal imagery to model temperature-based habitat suitability of freshwater fishes, similar as in studies by Vatland et al [22] and Dzara et al [25]. Even without in-situ calibration, uncertainty in POF estimates is greatly reduced by using temperatures measured with thermal imagery.…”
Section: Added Value Of Thermal Imagery To Estimate Water Temperaturesupporting
confidence: 86%
See 1 more Smart Citation
“…This improvement was even larger when the thermal imagery was calibrated with in-situ measurements (76%). These results indicate the added value of thermal imagery to model temperature-based habitat suitability of freshwater fishes, similar as in studies by Vatland et al [22] and Dzara et al [25]. Even without in-situ calibration, uncertainty in POF estimates is greatly reduced by using temperatures measured with thermal imagery.…”
Section: Added Value Of Thermal Imagery To Estimate Water Temperaturesupporting
confidence: 86%
“…Spatial variation in temperatures results from inflow of tributaries [23] and groundwater, shading by riparian vegetation [23], water depth [24], amongst other factors. The high spatiotemporal variability of water temperature limits the usability of point measurements to accurately assess habitat suitability [10,25]. This can partly be solved by modelling, but a temperature model capturing high spatiotemporal details requires a thorough knowledge on complex processes of the water body, which is often lacking [26].…”
Section: Introductionmentioning
confidence: 99%
“…Exploring this question may be especially relevant because small dams clearly alter stream thermal regimes. Moreover, future global warming could exacerbate these effects as it is expected to increase daily minimum temperatures more than daily maximum temperatures, with a corresponding decrease in the diurnal temperature range and an increase in mean daily temperature (Easterling et al, 1997;Vose et al, 2005).…”
Section: Analysis Of the Thermal Regime From An Ecological Perspectivementioning
confidence: 99%
“…Given the complexity and high variability of the river systems encountered in this study (Strahler orders spanning 3-5), it seems essential to us (and see Isaak et al, 2017Isaak et al, , 2018Steel et al, 2017;Dzara et al, 2019) to continue to conduct and expand well targeted stream temperature monitoring. This type of monitoring is requisite before being able to model stream temperature with sufficient spatial and temporal resolution.…”
Section: Diversity Of Situationsmentioning
confidence: 99%
“…Further identification of groundwater inflows, their hydrogeologic properties, and their use by fish could inform water and fisheries management actions to enhance groundwater springs for fish populations. Understanding the connectivity of thermal refugia will also help managers understand where fish can become trapped or bottlenecks occur for movement [13,68].…”
Section: Physical and Administrative Mar Implications For Idaho And Hmentioning
confidence: 99%