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Modeling environmental responses of plant association by fuzzy set theory
No full textA method for studying the response of vegetation to environmental gradients, based on the community niche and fuzzy set theory, is presented. The approach is illustrated using an example from perennial halophilous vegetation along the Northern Adriatic coast of Italy. Compatibility curves are obtained by fuzzy set theoreticalmethods, and are used tomodel the response functions of plant associations to environmental gradients, including soil and ground water salinity, soil pH, soil and ground water temperature, percentage of sand, and variations in the ground water level. The compatibility curves summarize the similarity of a given plant community, with a particular value of an environmental variable, to the species combination of a given plant association. Compatibility curves offer an alternative approach to non-linear regression and best fit analyses normally used to model single species responses to environmental gradients. The approach is particularly useful given there is no singlemechanisticmodel that can capture the exact shape
of the functional response along environmental gradients, and given that environmental data are commonly affected by high levels of noise
La vegetazione della Riserva Naturale Speciale della Val Sarmassa (Italia, Piemonte, Asti)
No full textRivista Piemontese di Storia Natural
Modelling environmental responses of plant associations by fuzzy set theory: an example of halophilous vegetation of the Northern Adriatic Coast (Italy).
No full textCOMMUNITY ECOL
Isolation of phosphorylated and dephosphorylated forms of the CP43 internal antenna of photosystem II in Hordeum vulgare L
No full textPhylogenetic analysis of the tribe Salicornieae based on matK and trnL-F chloroplast DNA sequences
No full textMorphological and genetics characteristics of Suaedo-Salicornietum patulae and, Salicornietum venetae from different ecological conditions.
No full text
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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