Important news for the microclimate community: Michael Kearney and the University of Melbourne just published a suit of user-friendly microclimate modelling apps that allow you to predict local microclimate for all over the world!
All information here!
These models compute hourly soil temperatures, soil moisture, snow cover and other microclimatic conditions such as air temperature at a specified height from the ground, for different parts of the world and for different time periods. A second set of models also allows the computation of hourly animal body temperature given the microclimatic conditions.
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Hey you, do you have a research site in any of the blank spots on this map? Then don't hesitate and get in touch with us: we offer free microclimate loggers to help us fill those gaps!
Indeed, SoilTemp is looking for potential collaborators working in remote locations across the globe to expand the global coverage of our growing database of in-situ microclimate measurements. We offer for free 5 to 20 TOMST TMS4 microclimate loggers per location and search for people willing to install the loggers and regularly retrieve the data to feed into the SoilTemp database. Download the questionnaire below to apply.
Download this document for all details on how to participate.
And as always, if you have any microclimate data already measured, don't hesitate to get in touch for details on how to submit!
We published an invited commentary piece in Global Change Biology on a recent paper from Ilya Maclean. The main message? Thanks to the new generation of mechanistic microclimate models, we can now model microclimatic conditions anywhere at any time. Our SoilTemp database is needed to verify these predictions. More here.
We made a little interactive map of the what, how and why of SoilTemp. Click below to start exploring!
We have a new - regional - SoilTemp-paper out, testing part of the rationale behind our network. In short, we compare different sources of climate data, show the variability between them, and test their performance in species distribution models in northern Scandinavia. Soil temperature came out as the best predictor for short-statued plant species.
Find the paper here.
Find a press release on the highlights here.