This research investigates the global relationship between tree canopy height and LST, focusing on latitudinal variations to understand the role of forests in climate regulation. We employed the global canopy height map, resampling it to a 1-kilometer resolution to overcome computational limitations. This dataset was combined with MODIS daily LST data for 2020 at the same resolution. The mean values of both variables were calc...

Our research endeavors to evaluate the precise ramifications of climate change on Iran’s protected regions, utilizing species distribution modeling to anticipate the effects of climate change on 394 bird species, 157 plant species, 72 reptiles, and 20 mammals across two climate change scenarios: SSP245 and SSP585 in 2070. Subsequently, we employed binary species distribution maps to determine the extent of overlap between 125...