New worldwide maps of temperatures inside tropical forests show that global warming affect different way in different parts of the forests. Undergrowth level temperature of the tropical forests can be even 4 degrees less than average temperature of the area.
Tropical forests host up to half of the planet's biodiversity but up to now, ecological studies over tropical forests often relied on large scale datasets depicting open-air temperatures -- that is, the temperature outside the forests, which can be several degrees different from the temperatures inside the forest.
This limitation imposed a large barrier in our understanding on how species will respond to climate change.
The research coordinated at the University of Helsinki and the Finnish Meteorological Institute by associate professor Eduardo Maeda, has now achieved a major step to overcome this limitation.
The results have been published in the scientific journal Nature communication.
Hotspots of microclimate refugia
Temperature is a fundamental factor defining the survival, growth, and reproduction rate of species living inside tropical forests.
New study provides maps of temperature inside forests that can be used by ecologists to massively improve the reliability of species distribution models.
"The maps will help to predict with higher confidence how species will respond to climate change, such as to where species are more likely to migrate," says Maeda.
Furthermore, we are able to identify hotspots of microclimate refugia (i.e., areas that can maintain stable and cool microclimates). These areas are likely to be more and more important in a warming future -- with highly detailed maps provided by this study, we can now indicate to policy makers where these areas are, so they can be more efficiently preserved.
Building on an extensive international collaboration effort, the researchers compiled data from hundreds of temperature sensors installed inside tropical forests across the world.
The study also used satellite data that provided information on different characteristics of the forests, such as the height of the trees and the leaf density.
All this information were combined in a machine learning algorithm that was able to estimate temperatures inside tropical forests throughout the entire planet.
The result of this study demonstrates an amazing variability in the temperatures experienced inside forests, which were not visible from other available datasets.
For example, the differences between temperatures inside and outside forests are larger in regions with a distinct dry season (e.g., in southern Amazon forest). Areas with lower rainfall are usually associated with higher temperatures, but this study demonstrate that the deep roots of tropical trees can still access water reserves, thus maintaining their 'airconditioning' function in the ecosystem.
"We already knew that temperatures inside forest differ substantially from those outside forests. Our study shows that those differences are evident not only in terms of magnitude (ie., the absolute difference between temperature inside and outside forest) but also in terms of spatial and temporal heterogeneity," says Maeda.
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