A complex database on the lichens of Italy was used to combine ecological indicator values assigned to each species (pH, eutrophication, light and aridity), in such a way as to simulate 'virtual habitats' from a beech forest of northern Italy. For each habitat, a list of species was obtained ('virtual releve'). A matrix of real and virtual releves was submitted to classification and ordination, obtaining six main community-types, all of which include both real and virtual releves. Two ordinations of species were carried out, one on the matrix of real releves, the other on that of virtual releves: their comparison shows that the consistency and the resolving power of the indicator values was high, but it also permits to detect and correct some errors. The results indicate a high predictivity of the indicator values for constructing ecological scenarios.

Testing the predictivity of ecological indicator values. A comparison of real and 'virtual' relevés of lichen vegetation

NIMIS, PIERLUIGI;MARTELLOS, Stefano
2001-01-01

Abstract

A complex database on the lichens of Italy was used to combine ecological indicator values assigned to each species (pH, eutrophication, light and aridity), in such a way as to simulate 'virtual habitats' from a beech forest of northern Italy. For each habitat, a list of species was obtained ('virtual releve'). A matrix of real and virtual releves was submitted to classification and ordination, obtaining six main community-types, all of which include both real and virtual releves. Two ordinations of species were carried out, one on the matrix of real releves, the other on that of virtual releves: their comparison shows that the consistency and the resolving power of the indicator values was high, but it also permits to detect and correct some errors. The results indicate a high predictivity of the indicator values for constructing ecological scenarios.
File in questo prodotto:
Non ci sono file associati a questo prodotto.
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11368/1697814
 Avviso

Registrazione in corso di verifica.
La registrazione di questo prodotto non è ancora stata validata in ArTS.

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 26
  • ???jsp.display-item.citation.isi??? 24
social impact