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International Journal of Innovation and Applied Studies
ISSN: 2028-9324     CODEN: IJIABO     OCLC Number: 828807274     ZDB-ID: 2703985-7
 
 
Tuesday 26 January 2021

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  Call for Papers - February 2021     |     Now IJIAS is indexed in EBSCO, ResearchGate, ProQuest, Chemical Abstracts Service, Index Copernicus, IET Inspec Direct, Ulrichs Web, Google Scholar, CAS Abstracts, J-Gate, UDL Library, CiteSeerX, WorldCat, Scirus, Research Bible and getCited, etc.  
 
 
 

In Press: Non-inferential Probabilistic Method for designing Typical Species of Northern Greece Oak Forest Natura 2000 Habitat Types



                 

Frederic Bendali1 and Michel Godron2

1 Eco-Consultants S.A., Holargos, Greece
2 University of Montpellier, France

Original language: English

Received 7 December 2020

Copyright © 2021 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract


Conservation status of the Natura 2000 Habitat Types is assessed through parameters that include the presence or absence of Typical Species. The EEC and the Greek application guidance documents do not mention a clear definition of «Typical Species» and most of the Habitat Types’ Typical Species lists published for the whole Greece have common species with others. Moreover, they can contain till 48 species without indication on which species is more typical than another for a Habitat type. Taking the example of oak forests habitat types, this paper exposes a method to find the Typical Species which are sufficiently linked with a Habitat Type to be exclusive. It also exposes the way to give ecological profiles for the Typical Species, and by that way to inform on habitat types ecology. This permitted to propose a list of maximum 8 ranked Typical Species for three Habitat Types and a new partial organization of the North Greece oak forest’s Natura 2000 Habitat Types.

Author Keywords: Frequency analysis, Cluster analysis, Ecological profiles, Habitat types, Typical species, North Greece Oak forests.