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Methodological issues in exploring cross-taxon congruence across vascular plants, bryophytes and lichens

Santi, E.
•
BACARO, Giovanni
•
Rocchini, D.
altro
Maccherini, S.
2016
  • journal article

Periodico
FOLIA GEOBOTANICA
Abstract
The effectiveness of surrogate taxa as ecological indicators for biodiversity assessment and monitoring depends on different factors, such as the spatial scale of analysis. In this study we explored the effects of the grain size and the choice of predictor variables on the strength of the community congruence relationships between vascular plants, bryophytes and lichens. Community data for these taxa were collected using a restricted random sampling applied in the Bosco di S. Agnese Nature Reserve (Tuscany, Italy). Co-Correspondence analysis (Co-CA) was performed on two different response communities (e.g. bryophytes and lichens presence/absence data) considering three predictor communities (presence/absence of vascular plant, abundance of vascular plants and a structure-based dataset) for three grain sizes (1m2, 100m2, 10000m2). The effects of spatial grain and the type of predictor variable on the strength of the congruence among the considered taxonomic groups were twofold: i) the amount of explained variance depends on the grain size; ii) the sign of observed relationships mainly depends on the analyzed taxon and on the choice of predictor variables. Our results highlight the importance of plot dimension, choice of predictor variable and taxon identity in evaluating cross-taxon relationships and provide further insights on the limitations of cross-taxon estimates among vascular plant and cryptogams for biodiversity assessment and conservation planning.
DOI
10.1007/s12224-016-9265-9
WOS
WOS:000399893500002
Archivio
http://hdl.handle.net/11368/2886601
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85014065600
https://link.springer.com/article/10.1007/s12224-016-9265-9
Diritti
closed access
license:digital rights management non definito
FVG url
https://arts.units.it/request-item?handle=11368/2886601
Soggetti
  • biodiversity concorda...

  • community composition...

  • grain

  • multivariate analysi

  • surrogacy

  • vegetation

Scopus© citazioni
10
Data di acquisizione
Jun 14, 2022
Vedi dettagli
Web of Science© citazioni
14
Data di acquisizione
Mar 16, 2024
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