Numerous research institutions and national agencies have established databanks of species composition data that serve a multitude of purposes ranging from purely scientific to applications in nature conservation and landscape planning. Simultaneously, massive amounts of spatially explicit data on site attributes (e.g., climate, soils, topography) have become available. In addition, comprehensive data on specific taxa (e.g., distribution, phylogeny, life-history traits, functional attributes) are becoming available. This emerging availability of large quantities of species co-occurrence, site attribute, and taxon attribute data is transforming the study of ecological communities. The IAVS Working Group for Ecoinformatics (http://www.bio.unc.edu/faculty/peet/vegdata/) was formed to facilitate access to and analysis of such data. There is a great promise in exchanging and merging data sets among databanks. At the same time large data sets of heterogeneous origin pose increasing challenges, both technical and scientific. Vegetation scientists from all over the world reported on progress in vegetation databanking and its analysis and applications,
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WENTWORTH, T.R. J.D. FRIDLEY, J.M. GRAMLING, R.T. JOBE, J.A.KAPLAN, M. McKNIGHT, A. SENFT, D.B. VANDERMAST, & R.K. PEET. Fine-scale species-area relationships of the vascular flora of the Southeast.
PILLAR, V.D. Demonstration. Siavs2004- Program MULTIV for randomization testing; Program SYNCSA for analysis of trait-based community data and identification of plant functional types; Program SYNCSA for analysis of long-term vegetation dynamics.
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Order at http://www.landwirtschaftsverlag.com/bfnen/
PEET, R.K. AND S. WISER. Concluding remarks.