The Iberian and Macaronesian Vegetation Information System (SIVIM, www.sivim.info), five years of online vegetation’s data publishing
analysis tools, database, releves, vegetation
The SIVIM website was born six years ago. After a first stage of fast growing, the number of queries to its database has currently surpassed 100,000 per year. SIVIM offers its users the opportunity to access to large datasets facilitating phytosociological reviews, plant conservation management and taxonomic chorological studies, amongst others. Therefore, the number of scientific papers and books as well as other websites that cite our website is enlarged everyday. New data have been constantly brought into the project, which means that more than 130,000 phytosociological relevés are currently accessible, storing more than two million specific floristic observations. According to the Global Index of Vegetation-Plot Databases (GIVD), and taking into account the number of computerized relevés, SIVIM is the fourth largest database in the world. New analysis tools have been developed during this year, among them the on line calculation of species and syntaxa’s fidelity values, and a new re- markable tool to model the potential distribution of taxa and syntaxa (based on the maximum entropy algorithm), and their future trends in response to climate change (projections for the years 2020, 2050, and 2080). We should also emphasize ZamiaDroid, the latest integration within the project, which allows querying SIVIM by mobile devices (smartphones and tablets). With respect to programming, we implemented a new system so that users can report errors directly to SIVIM administrators. Concerning future actions, we aim to develop an online expert system in order to survey and classify vegetation communities and to open SIVIM to participative projects, especially those related to photography of plants and vegetation types. The SIVIM project has been funded by two research projects, CGL2006-13421-C04 (2007-2009) and CGL2009-13317-C03 (2010-2012), consecutively.