Tropical hydrology and cloud forests.
The data represent the results of a research project carried out by Dr. Mark Mulligan at Kings College London and This e-mail address is being protected from spam bots, you need JavaScript enabled to view it 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 Key results:
Click here for a short video which indicates how to use this Google Earth interface (10 MB, AVI). 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. All data are in the Geographic Coordinate System, WGS84 datum and are distributed as zipped ARCASCII files.
DATA AVAILABLE (covering entire tropics, not only cloud forest areas)
The modelled global distribution of current cloudforests
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) Global cloud forests and environmental change in a hydrological context. 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 ( This e-mail address is being protected from spam bots, you need JavaScript enabled to view it ) 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.
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