Collecting and producing data is one thing, combining it and making it easily accessible and useful for the end-users another.
The Template for Assessing Climate Change Impacts and Management Options (TACCIMO) is a nice example of a Web-based tool that provides land owners, managers, and planners in the United States with the most current climate change science available. Continue reading TACCIMO – a template for Assessing Climate Change Impacts
I am currently working on the modeling of the distribution of different vegetation types and associate species in eastern Africa. In absence of more detailed climate data for the region, a great source of global climatic data is the WorldClim website. Besides the usual monthly temperature and rainfall data, it provides bioclimatic variables which are derived from these monthly temperature and rainfall values in order to generate more biologically meaningful variables. However, it only does this for the current conditions (interpolations of observed data, representative of 1950-2000) but not yet (?) for the future conditions (downscaled data from global climate model (GCM) output, IPPC 3rd assessment). Thus, I had to calculate them myself, which I did using GRASS GIS and R. Continue reading Calculating bioclim variables in GRASS GIS