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Dataset Information

Measuring and modelling microclimatic air temperature in a historically degraded tropical forest.


ABSTRACT: Climate change is predicted to cause widespread disruptions to global biodiversity. Most climate models are at the macroscale, operating at a ~ 1 km resolution and predicting future temperatures at 1.5-2 m above ground level, making them unable to predict microclimates at the scale that many organisms experience temperature. We studied the effects of forest structure and vertical position on microclimatic air temperature within forest canopy in a historically degraded tropical forest in Sikundur, Northern Sumatra, Indonesia. We collected temperature measurements in fifteen plots over 20 months, alongside vegetation structure data from the same fifteen 25 × 25 m plots. We also performed airborne surveys using an unmanned aerial vehicle (UAV) to record canopy structure remotely, both over th

SUBMITTER: Marsh CD 

PROVIDER: S-EPMC9132844 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature