1,721,069 research outputs found
Estimating information-statistical functions by multiplet sets
No full textEstimating information-statistical functions by multiplet set
Fine scale spatial pattern analysis of the herb layer of woodland vegetation using information theory.
No full textBeech coppices in the montane belt of the Central Apennines: monitorino for ecological management guideliness accordino to structure and biodiversity status.
No full textComparison of the herb layer vegetation in primary and secondary forests in Bialowieza (Poland).
No full textThe monitoring of non-equilibrium dynamics and assembly rules of vegetation: sampling scale dependence and relative coenostate descriptors by using information theory.
No full textBeech coppices in the montane belt of the Central Apennines: monitoring for ecological management guidelines according to structure and biodiversity status.
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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
Changes on vascular plant diversity along a chronosequence of Beech coppice stands, central Apennines, Italy.
No full textThis research sought to understand the patterns of vegetation recovery after disturbances because of coppice management in beech forests. Eighty sampling units from the mountain belt of the Marche region (Apennines, Italy) were collected according to a stratified sampling based on their geological setting (limestone, sandstone), elevation classes and age after last coppicing (to represent a chronosequence, from 1 to 90 years). The expected successional trend of decreasing species richness was confirmed, together with some stabilisation processes for older stand ages. However, more complex diversity patterns were found when total species richness was decomposed into the species richness of five social behaviour types (SBTs), defined based on the species’ habitat preference. On both bedrocks, temporal gradients explained the observed diversity changes at the stand level: forest specialists increased whereas non-forest species decreased. A relatively long time after coppicing (40–60 years), the contribution of the beech specialist species doubled, whereas non-forest and species from anthropogenic habitats decreased by about 50%. On sandstone, the contribution of gap species also decreased over a long-period, and the beech stands experienced stronger changes over time. We conclude that the decomposition of total species richness in terms of SBT affords the opportunity to identify temporal references for thresholds which can be used to assess plant diversity status in relation to management schedules and conservation policy decisions
Spatial pattern analysis of the herb layer of woodland vegetation using information theory (JNP)
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