Lucanian Vegetation Database

Iranian Brain Imaging Database: A Neuropsychiatric Database of Healthy Brain

Introduction: The Iranian Brain Imaging Database (IBID) was initiated in 2017, with 5 major goals: provide researchers easy access to a neuroimaging database, provide normative quantitative measures of the brain for clinical research purposes, study the aging profile of the brain, examine the association of brain structure and function, and join the ENIGMA consortium. Many prestigious databases...

Wisconsin Vegetation Database – plant community survey and resurvey data from the Wisconsin Plant Ecology Laboratory

Legacy data provide valuable baselines for assessing ecological changes. Excellent baseline data for Wisconsin's plant communities exist because of the surveys conducted by J.T. Curtis and colleagues (the Wisconsin Plant Ecology Laboratory or PEL) in the 1940s and 1950s. They surveyed > 2,000 sites to test how plant community composition varies along environmental gradients. These sites include...

Mapping Historical Data: Recovering a Forgotten Floristic and Vegetation Database for Biodiversity Monitoring

Multitemporal biodiversity data on a forest ecosystem can provide useful information about the evolution of biodiversity in a territory. The present study describes the recovery of an archive used to determine the main Schmid’s vegetation belts in Trento Province, Italy. The archive covers 20 years, from the 1970s to the 1990s. During the FORCING project (an Italian acronym for Cingoli Forestal...

Alien species in different habitat types of Slovenia: analysis of vegetation database

Background and purpose: Invasion by alien plant species is considered as one of major threats to biodiversity. Actual invasion of different habitats in particular country is important for understanding processes that are important in invasion ecology as well as for the nature conservation. Materials and methods: Vegetation relevés stored in a database Vegetation of Slovenia were translated into...

Vegetation Mapping.