Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Paola Ganis"'
Autor:
Enrico Feoli, Paola Ganis
Publikováno v:
Mathematics, Vol 7, Iss 3, p 245 (2019)
The use of the evenness (E(λ)) of the eigenvalues of similarity matrices corresponding to different hierarchical levels of ecosystem classifications, is suggested to test correlation (or predictivity) between biological communities and environmental
Externí odkaz:
https://doaj.org/article/782e2595a2ce43548602f0104df810d1
Publikováno v:
Digital.CSIC. Repositorio Institucional del CSIC
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© The Author(s).
In this paper, we want to support the idea of using a family of indices of similarity, that we call the Simpson’s family indices or nestedness-based similarity functions (NBSF) for comparing operational geographic units (OGUs
In this paper, we want to support the idea of using a family of indices of similarity, that we call the Simpson’s family indices or nestedness-based similarity functions (NBSF) for comparing operational geographic units (OGUs
Publikováno v:
CATENA. 180:169-182
Land use assessment is among the practical purposes of soil classification. Several researches has been specifically focused on the use of conventional surveys in the evaluation of soil suitability for agriculture products whose quality is influenced
Autor:
Paola Ganis, Enrico Feoli
Publikováno v:
Mathematics, Vol 7, Iss 3, p 245 (2019)
Mathematics
Volume 7
Issue 3
Mathematics
Volume 7
Issue 3
The use of the evenness (E(&lambda
)) of the eigenvalues of similarity matrices corresponding to different hierarchical levels of ecosystem classifications, is suggested to test correlation (or predictivity) between biological communities and en
)) of the eigenvalues of similarity matrices corresponding to different hierarchical levels of ecosystem classifications, is suggested to test correlation (or predictivity) between biological communities and en
Publikováno v:
Plant Biosystems, ISSN 1126-3504, 2016-10, Vol. 150, No. 6
Archivo Digital UPM
instname
Digital.CSIC. Repositorio Institucional del CSIC
Archivo Digital UPM
instname
Digital.CSIC. Repositorio Institucional del CSIC
With this paper we suggest that vegetation series is a useful conceptual tool to identify a clear level of biodiversity of land systems among the many possible logical levels. The suggestion is supported by the results of a case study carried out for
In this paper we propose a method to produce maps of fire danger index (FDI). The index includes in the formula a vegetation pyrogenic potential index (VPPI) based on floristic phytosociological data. The map of FDI is produced by integrating availab
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::28864b4e0d31f30e18e0530b5468f282
https://hdl.handle.net/11368/2921640
https://hdl.handle.net/11368/2921640
Publikováno v:
Plant Biosystems - An International Journal Dealing with all Aspects of Plant Biology. 145:132-147
This paper deals with riverine Salix alba – scrubs of the Po plain (northern Italy). They were compared with analogous formations of many other European countries to study similarities and differences. Demographic concentration and intense human ac
Publikováno v:
Plant Biosystems - An International Journal Dealing with all Aspects of Plant Biology. 145:74-84
In this article, we consider the meaning of the phytosociological releve´ of the Braun-Blanquet’s approach as a source of biodiversity matrices. We stress the importance of phytosociological releve´ for the integrated vegetation studies dedicated
Publikováno v:
Plant Biosystems - An International Journal Dealing with all Aspects of Plant Biology. 145:50-59
Direct experimental methods for measuring plant invasiveness based on generative vs. vegetative reproductive mechanisms have already been proposed in the literature. In the present work, an indirect method to measure plant species invasion using hist
Publikováno v:
Community Ecology. 10:53-64
We suggest a classificatory approach for land cover analysis that integrates fuzzy set theory with permutation techniques. It represents a non parametric alternative and/or a complement of traditional multivariate statistics when data are scarce, mis