Compositional and ecological diversity of Cansiglio forest (Friuli Venezia Giulia, Italy)

Aim : The aim of this study is to describe the compositional and ecological diversity of the Natura 2000 Site ‘Cansiglio Forest’ (IT3310006). Study area : The study area is located in the South-Eastern Prealps between the Venetian-Friulian plain and the Cansiglio plateau, a typical karstic system. Methods : A total of 25 vegetation relevés, each of 250 m 2 , were sampled in the LIFE SPAN (LIFE19 NAT/IT/000104) project plots and were subjected to cluster analysis (Bray-Curtis, Ward) and NMDS ordination. Variables such as Ellenberg Indicator Values, environmental parameters, life forms, chorotypes, and phytosociological units were tested using ANOVA and the Kruskal-Wallis test to assess significant differences between clusters. The indicspecies package was applied to study the association between species patterns and combinations of clusters. Results : We distinguished three clusters. Cluster A, characterized by several species, including Chaerophyllum hirsutum and Phegopteris connectilis , shows higher EIVs for moisture, acidic soil reaction and lower temperature, a more open canopy and mainly Circumboreal and Euro Asian species of Vaccinio-Piceetea . Cluster B1, a mixed forest of Fagus sylvatica and Abies alba with Circaea alpina , has intermediate EIVs, a closed canopy, low herbaceous layer cover, and higher cover of SE-European species. Cluster B2, a pure Fagus sylvatica forest with Lathyrus venetus , has lower EIVs for humidity and higher for temperature, and mainly Central European species of Carpino-Fagetea . Conclusion : The anthropogenic spruce forest is developing in the Cansiglio plateau and is favored by thermal inversion. It could be identified with Senecioni cacaliaster-Piceetum , but further study is needed to confirm. The mixed forest of Fagus sylvatica and Abies alba and the pure beech forest represent two facies of the Cardamino pentaphylli-Fagetum fagetosum , with the first one dominating on the coldest slopes and the second one on the highest and warmer belt. This community can be included in the Aremonio-Fagion alliance. Taxonomic reference : Euro+Med PlantBase (2023). Syntaxonomic references : Mucina et al. (2016) for classes, orders and alliances; Willner et al. (2017) for suballiances. Abbreviations : ANOVA = analysis of variance; EIV = Ellenberg indicator value; FVG = Autonomous Region of Friuli Venezia-Giulia; HSD = honestly significant difference; NMDS = non-metric multidimensional scaling.

Authors

Publication Details

Journal
Vegetation Classification and Survey
Published
2024-11-27
DOI
https://doi.org/10.3897/vcs.118821
Citations
2
Primary Topic
Botany and Plant Ecology Studies
Type
article
Field-Weighted Citation Impact
1.20

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Compositional and ecological diversity of Cansiglio forest (Friuli Venezia Giulia, Italy)

Fabrizio Ferretti, Flavia Sicuriello, Paolo Colangelo, Bruno De Cinti
2 citations
Vegetation Classification and Survey
Botany and Plant Ecology Studies
1.20
article

Compositional and ecological diversity of Cansiglio forest (Friuli Venezia Giulia, Italy)

Fabrizio Ferretti, Flavia Sicuriello, Paolo Colangelo, Bruno De Cinti
article en
2 citations

Abstract

Aim : The aim of this study is to describe the compositional and ecological diversity of the Natura 2000 Site ‘Cansiglio Forest’ (IT3310006). Study area : The study area is located in the South-Eastern Prealps between the Venetian-Friulian plain and the Cansiglio plateau, a typical karstic system. Methods : A total of 25 vegetation relevés, each of 250 m 2 , were sampled in the LIFE SPAN (LIFE19 NAT/IT/000104) project plots and were subjected to cluster analysis (Bray-Curtis, Ward) and NMDS ordination. Variables such as Ellenberg Indicator Values, environmental parameters, life forms, chorotypes, and phytosociological units were tested using ANOVA and the Kruskal-Wallis test to assess significant differences between clusters. The indicspecies package was applied to study the association between species patterns and combinations of clusters. Results : We distinguished three clusters. Cluster A, characterized by several species, including Chaerophyllum hirsutum and Phegopteris connectilis , shows higher EIVs for moisture, acidic soil reaction and lower temperature, a more open canopy and mainly Circumboreal and Euro Asian species of Vaccinio-Piceetea . Cluster B1, a mixed forest of Fagus sylvatica and Abies alba with Circaea alpina , has intermediate EIVs, a closed canopy, low herbaceous layer cover, and higher cover of SE-European species. Cluster B2, a pure Fagus sylvatica forest with Lathyrus venetus , has lower EIVs for humidity and higher for temperature, and mainly Central European species of Carpino-Fagetea . Conclusion : The anthropogenic spruce forest is developing in the Cansiglio plateau and is favored by thermal inversion. It could be identified with Senecioni cacaliaster-Piceetum , but further study is needed to confirm. The mixed forest of Fagus sylvatica and Abies alba and the pure beech forest represent two facies of the Cardamino pentaphylli-Fagetum fagetosum , with the first one dominating on the coldest slopes and the second one on the highest and warmer belt. This community can be included in the Aremonio-Fagion alliance. Taxonomic reference : Euro+Med PlantBase (2023). Syntaxonomic references : Mucina et al. (2016) for classes, orders and alliances; Willner et al. (2017) for suballiances. Abbreviations : ANOVA = analysis of variance; EIV = Ellenberg indicator value; FVG = Autonomous Region of Friuli Venezia-Giulia; HSD = honestly significant difference; NMDS = non-metric multidimensional scaling.

Vegetation Classification and SurveyVol. 5
European Commission, Regione Autonoma Friuli Venezia Giulia
Life in Land
Openalex Percentile: Top 15%
Botany and Plant Ecology Studies
1.20
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.