Abstract
Ocean warming is the greatest threat to coral reefs, prompting a need to
accurately monitor in situ temperatures. Advancements in sensing
technologies have led to a proliferation of temperature loggers being
deployed globally. However, appropriate deployment of loggers–essential
for measurement accuracy in an ecosystem where changes of 1ºC can cause
widespread mortality–is often overlooked. For example, loggers deployed
in direct sunlight are known to overestimate temperature, but the
prevalence of shading loggers is unknown. Here, we survey recent
literature to assess the current state of temperature logger use on
coral reefs. We then performed lab and field trials on 10 models that
span a range of prices and accuracies to evaluate logger performance and
assess efficacies of shading techniques. Of the 329 studies we
reviewed, >40% of studies deployed loggers shallower than 5 m, yet
<5% reported shading loggers, revealing the potential for bias in
existing datasets. In field tests, solar bias varied significantly
across loggers; the most popular model suffered the largest bias of
>2.5ºC, while other models were less affected by irradiance. Wrapping
loggers in tape reduced temperature bias, but under high irradiance
measurement error still exceeded 0.8ºC. Shading loggers under an opaque
object completely eliminated solar bias. We demonstrated a strong linear
relationship between in situ irradiance and temperature error and
quantified irradiance thresholds for which error >0.5°C can be
expected. We then modeled the temperature bias expected for the most
popular logger model using in situ irradiance data, showing that errors
>2ºC can exist across multiple depths. Our findings reveal pervasive
underreporting of logger deployment methods in coral reef studies,
highlighting the need to consider the possibility of bias when comparing
studies or integrating different in situ temperature records. Future
studies should strive to transparently describe deployment methods and
appropriately shade loggers.
Keywords
Environmental monitoring
Logger
Measurements
Environmental parameters