Monitoring the Intertidal Environment with Biomimetic Devices

Lima, Fernando P.; Burnett, Nicholas; Helmuth, Brian; Kish, Nicole; Aveni-Deforge, Kyle; Wethey, David S.

doi:10.5772/14153

Cited by 2 publications

(3 citation statements)

References 67 publications

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“…; Table 1; Helmuth et al, 2002Helmuth et al, , 2006Helmuth et al, , 2011Seabra et al, 2011;Fly et al, 2012;Pincebourde et al, 2012;Monaco et al, 2015;Kish et al, 2016;Kroeker et al, 2016;Drake et al, 2017). These instruments record temperatures that are significantly more accurate (∼1-2 • C error) to the body temperatures of animals than are either air temperature or the temperature recorded by unmodified "off the shelf " instruments (Fitzhenry et al, 2004;Lima et al, 2011). Methods for building sensors have usually involved either placing the logger inside of an animal (e.g.…”

Section: Temperature Measurements In the Fieldmentioning

confidence: 99%

“…Methods for building sensors have usually involved either placing the logger inside of an animal (e.g. mussel, limpet, barnacle, snail) shell and filling the shell with silicone or Scotchcast flame retardant compound both of which adequately approximate the thermal characteristics of tissue (Lima and Wethey, 2009;Denny et al, 2011) (Figure 3A) or by embedding them in materials such as epoxy resin ( Figure 3B; Helmuth and Hofmann, 2001;Lima et al, 2011). A disadvantage of the latter approach is that not all sizes or species of animal can be replicated.…”

Section: Temperature Measurements In the Fieldmentioning

confidence: 99%

“…A new Portuguese company, Electric Blue, has developed a small, ruggedized temperature logger (EnvLogger) 3 that can offload data and be programmed using a mobile Android device and has near real-time data capabilities ( Table 2). This new technology avoids the need to remove the logger from its shell casing or make time-costly modifications to offload data through protruding wires (e.g., Robert and Thompson, 2003;Lima and Wethey, 2009;Lima et al, 2011;Chan et al, 2016). WeePit temperature loggers have not been widely used in intertidal studies, however their large memory and high resolution are useful for long-term deployments.…”

Section: Lack Of Real-time Data Capabilitiesmentioning

confidence: 99%

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Recent Advances in Data Logging for Intertidal Ecology

2018

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Temperature is among the most ubiquitous determinants of organism growth, survival, and reproduction. Accurate recordings and predictions of how the temperatures of plants and animals vary in time and space are therefore critical to forecasting the likely impacts of global climate change. Intertidal zones have long served as a model ecosystem for examining the role of environmental stress on patterns of species distributions, and are emerging as models for understanding the ecological impacts of climate change. Intertidal environments are among the most physically demanding habitats on the planet, and excursions in body temperature of ectotherms can exceed 25 • C over the course of a few hours. It is now well-known that the body temperatures of intertidal organisms can deviate significantly from the temperature of the surrounding air and substrate due to the influence of solar radiation, and that their size, color, morphology, and material properties markedly influence their temperatures. While many intertidal organisms are slow moving or almost entirely sessile, for others, behavior can play a significant role in driving vulnerability to temperature extremes. We explore datalogging methods used in intertidal zones and discuss the advantages and drawbacks of each. We show how measurements made in situ reveal patterns of thermal stress that otherwise would be undetectable using more remotely-sensed data. Additionally, we explore the idea that the relevant "grain size" of the physical environment, and thus the spatial scale that must be measured, is a function of (1) the size of the organism relative to local refugia; (2) an organism's ability to sense and to some degree predict near-term environmental conditions; and (3) an animal's movement speed and directionality toward refugia. Similarly, relevant temporal scales depend on the size, behavior, and physiological response of the organism. While miniaturization of dataloggers has significantly improved, several significant limitations still exist, many of which relate to difficulties in recording behavioral responses to changing environmental conditions. We discuss recent innovations in monitoring and modeling intertidal temperatures, and the important role that they have played in bridging ecological and physiological studies of ongoing impacts of climate change.

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