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

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.
This work predicts current and predicted future cloud forest and páramo extent and change in relative humidity, based on current and predicted future climate information.
This document provides an overview for the data included in this package. Additional documentation is available in Helmer et al. (2019) as well as within the individual metadata documents for each raster dataset. Original metadata date was 03/18/2019. Minor metadata updates made on 04/18/2019 and 04/30/2019 to include references to newly published article.