Patterns and drivers of β‐diversity and similarity of Lobaria pulmonaria communities in Italian forests. (14th January 2013)
- Record Type:
- Journal Article
- Title:
- Patterns and drivers of β‐diversity and similarity of Lobaria pulmonaria communities in Italian forests. (14th January 2013)
- Main Title:
- Patterns and drivers of β‐diversity and similarity of Lobaria pulmonaria communities in Italian forests
- Authors:
- Nascimbene, Juri
Benesperi, Renato
Brunialti, Giorgio
Catalano, Immacolata
Vedove, Marilena D.
Grillo, Maria
Isocrono, Deborah
Matteucci, Enrica
Potenza, Giovanna
Puntillo, Domenico
Puntillo, Michele
Ravera, Sonia
Rizzi, Guido
Giordani, Paolo
Gilliam, Frank - Abstract:
- <abstract abstract-type="main" id="jec12050-abs-0001"> <title>Summary</title> <p> <list id="jec12050-list-0001" list-type="order"> <list-item> <p>We attempted to elucidate the roles of β‐diversity components and similarity in shaping <italic>Lobaria pulmonaria</italic> lichen communities in Italian forests to provide scientific tools for improving their long‐term conservation.</p> </list-item> <list-item> <p>A total of 20 sites were selected by stratified random sampling, including five chestnut forests, seven beech–silver fir forests and eight oak forests distributed across 10 administrative regions of Italy. Site selection was based on a national data base including all the available records of <italic>L. pulmonaria</italic> in Italy. In each forest, four plots were randomly placed, and in each plot, 5–6 trees were randomly selected for lichen sampling. For each forest and plot, meaningful predictors of lichen patterns were quantified. In particular, factors indicative of both geographic conditions and forests structure were considered. The SDR simplex approach was used to estimate the relative importance of similarity (<italic>S</italic>), relative species replacement (<italic>R</italic>) and relative richness difference (<italic>D</italic>) to β‐diversity and similarity, while a hierarchical partitioning (HP) method was used to evaluate the relative importance of environmental predictors in explaining their patterns.</p> </list-item> <list-item> <p>A total of 201 lichens<abstract abstract-type="main" id="jec12050-abs-0001"> <title>Summary</title> <p> <list id="jec12050-list-0001" list-type="order"> <list-item> <p>We attempted to elucidate the roles of β‐diversity components and similarity in shaping <italic>Lobaria pulmonaria</italic> lichen communities in Italian forests to provide scientific tools for improving their long‐term conservation.</p> </list-item> <list-item> <p>A total of 20 sites were selected by stratified random sampling, including five chestnut forests, seven beech–silver fir forests and eight oak forests distributed across 10 administrative regions of Italy. Site selection was based on a national data base including all the available records of <italic>L. pulmonaria</italic> in Italy. In each forest, four plots were randomly placed, and in each plot, 5–6 trees were randomly selected for lichen sampling. For each forest and plot, meaningful predictors of lichen patterns were quantified. In particular, factors indicative of both geographic conditions and forests structure were considered. The SDR simplex approach was used to estimate the relative importance of similarity (<italic>S</italic>), relative species replacement (<italic>R</italic>) and relative richness difference (<italic>D</italic>) to β‐diversity and similarity, while a hierarchical partitioning (HP) method was used to evaluate the relative importance of environmental predictors in explaining their patterns.</p> </list-item> <list-item> <p>A total of 201 lichens and three nonlichenized fungi were found, including 51 species of conservation concern. The components of β‐diversity and similarity contributed to shaping <italic>L. pulmonaria</italic> communities at both forest and plot scales across Italy, resulting in nearly random compositions, that is, the species set on each tree was a random sample from the available species pool. Species replacement and similarity were generally associated with forest structure predictors, while richness difference was mainly associated with geographic predictors. The implication of this is that the long‐term conservation of <italic>L</italic>. <italic>pulmonaria</italic> communities could be promoted by maintaining scattered nodes and appropriate habitat traits, especially in large forested landscapes where species turnover is higher.</p> </list-item> <list-item> <p> <italic>Synthesis</italic>. In this work, we used a new approach for analysing a countrywide data set improving the ecological understanding of the dynamics regulating epiphytic communities. In particular, this study improves the understanding of the contribution of different components of diversity across two spatial scales and evaluates the relative importance of environmental predictors in explaining variation of each diversity component.</p> </list-item> </list> </p> </abstract> … (more)
- Is Part Of:
- Journal of ecology. Volume 101:Number 2(2013:Mar.)
- Journal:
- Journal of ecology
- Issue:
- Volume 101:Number 2(2013:Mar.)
- Issue Display:
- Volume 101, Issue 2 (2013)
- Year:
- 2013
- Volume:
- 101
- Issue:
- 2
- Issue Sort Value:
- 2013-0101-0002-0000
- Page Start:
- 493
- Page End:
- 505
- Publication Date:
- 2013-01-14
- Subjects:
- Plant ecology -- Periodicals
577.05 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1365-2745 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1111/1365-2745.12050 ↗
- Languages:
- English
- ISSNs:
- 0022-0477
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4972.000000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 3791.xml