Tropical hydrology and cloud forests.

This database provides information and data from the Tropical Hydrology and Cloud Forests Project.

The data represent the results of a research project carried out by Dr. Mark Mulligan at Kings College London and Dr Sophia Burke of AMBIOTEK and are derived from a variety of original data sources.

A pan-tropical model for cloud forest distribution and water balance model was developed and the implications of historic forest loss in the tropical upland and lowlands examined.

See the project report in English (3.5 MB) here

You can find an interactive Google Earth Layer of downloadable GIS data and results from the project here

Download Google Earth here

For data distribution, the entire tropics are broken up into a series of tiles. Each of these grids contains a 1024 by 1024 km tile of approx. 1km resolution data. The data represent the results of a research project and are derived from a variety of original data sources.

DATA AVAILABLE
Forests
allf - current tropical forest fractional cover (%)
forloss - fractional forest cover loss to date (%)
cf - current fractional cloud forest cover (%)
cfloss - fractional cloud forest cover loss to date (%)
unprotcf - unprotected remaining cloud forest cover (%)
Climate
cloud - annual average cloud frequency (%)
wprec - wind driven precipitation inputs (mm/year)
annevap - annual total evapotranspiration (mm/year)
Hydrology
annbal - annual water balance (wind driven rainfall minus evapo-transpiration) (mm/year)
sensluc - hydrological sensitivity to land use change (change in water balance per unit change in land cover fraction) (mm/%)

ACKNOWLEDGMENT AND CITATION
We kindly ask any users to cite this data in any published material produced using this data. Citations should be made as follows:
Mulligan, M. and Burke, S.M. (2005) DFID FRP Project ZF0216 Global cloud forests and environmental change in a hydrological context. Final Report. December 2005. http://www.ambiotek.com/cloudforests
DISTRIBUTION
Users are prohibited from any commercial, non-free resale, or redistribution without explicit written permission from Kings College London (mark.mulligan@kcl.ac.uk) Users should acknowledge Kings College London as the source used in the creation of any reports, publications, new data sets, derived products, or services resulting from the use of this data set. Kings College London also request reprints of any publications and notification of any redistributing efforts.
NO WARRANTY OR LIABILITY
Kings College London provides these data without any warranty of any kind whatsoever, either express or implied, including warranties of merchantability and fitness for a particular purpose. Kings College London shall not be liable for incidental, consequential, or special damages arising out of the use of any data downloaded.