Research

Cloud Forest Data Neotropical cloud forests

Title: Cloud forest data for "Neotropical cloud forests and páramo to contract and dry from declines in cloud immersion and frost"

Year: 2019

Abstract: This data publication includes all cloud forest data for Helmer et al. (2019) "Neotropical cloud forests and páramo to contract and dry from declines in cloud immersion and frost". Data include 7 raster digital datasets representing ecoregions; minimum frost frequency defining lower boundary for subalpine or mixed TMCF (transitional to alpine or other higher elevation vegetation); minimum frost frequency defining lower boundary for alpine or other higher elevation vegetation, including páramo; minimum relative humidity (RH), to qualify as cloud forest, based on RH of the points calibrating the model of cloud forest minimum elevation; watershed delineations used to estimate maximum watershed elevation and relative humidity from 100 to 150 meters elevation at mountain bases; region in the model of cloud forest minimum elevations; and forest type (Neotropical montane cloud forest, subalpine or mixed cloud forest, or páramo/other vegetation). Data also include 4 raster digital datasets representing projected zone (alpine, subalpine/mixed, or montane) and change in relative humidity for Representative Concentration Pathway (rcp) 4.5 for average year 2050 and 2070, as well as for rcp 8.5 for average year 2050 and 2070.

For detailed information about this data layer please view the Cloud forest data for "Neotropical cloud forests and páramo to contract and dry from declines in cloud immersion and frost" Metadata file. [Opens in New Window]

Suggested Citation: Helmer, Eileen H.; Gerson, Elizabeth A.; Baggett, L. Scott; Bird, Benjamin J.; Ruzycki, Thomas S.; Voggesser, Shannon M. 2019. Cloud forest data for "Neotropical cloud forests and páramo to contract and dry from declines in cloud immersion and frost". Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2019-0008


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