Go to:
Logótipo
Você está em: Start > Publications > View > Modelling the partially unknown distribution of wall lizards (Podarcis) in North Africa: ecological affinities, potential areas of occurrence, and methodological constraints
Map of Premises
Principal
Publication

Modelling the partially unknown distribution of wall lizards (Podarcis) in North Africa: ecological affinities, potential areas of occurrence, and methodological constraints

Title
Modelling the partially unknown distribution of wall lizards (Podarcis) in North Africa: ecological affinities, potential areas of occurrence, and methodological constraints
Type
Article in International Scientific Journal
Year
2008
Authors
kaliontzopoulou, a
(Author)
Other
The person does not belong to the institution. The person does not belong to the institution. The person does not belong to the institution. View Authenticus page Without ORCID
brito, jc
(Author)
Other
View Personal Page You do not have permissions to view the institutional email. Search for Participant Publications View Authenticus page View ORCID page
carretero, ma
(Author)
Other
View Personal Page You do not have permissions to view the institutional email. Search for Participant Publications View Authenticus page Without ORCID
larbes, s
(Author)
Other
The person does not belong to the institution. The person does not belong to the institution. The person does not belong to the institution. Without AUTHENTICUS Without ORCID
harris, dj
(Author)
FCUP
View Personal Page You do not have permissions to view the institutional email. Search for Participant Publications View Authenticus page View ORCID page
Journal
Vol. 86
Pages: 992-1001
ISSN: 0008-4301
Publisher: NRC Research Press
Indexing
Scientific classification
FOS: Natural sciences > Biological sciences
Other information
Authenticus ID: P-003-WD5
Abstract (EN): Species distribution modelling (SDM) is a powerful tool to investigate various biological questions with a spatial component, but is also sensitive to presence-data characteristics, particularly data precision and clustering. Here, we investigate the effect of these two factors on SDM using Maxent as the modelling technique and wall lizards (genus Podarcis Wagler, 1830) from North Africa as a model system. Podarcis are not ubiquitous in Africa as they are in Europe, but their ecological and distributional characteristics in this area are poorly known. Our results show that the most important environmental factors related to the distribution of this genus in North Africa are humidity, habitat type, and temperature. The areas of potential distribution predicted by models based on data sets with different precision and clustering characteristics show high relatedness to coastal areas and mountain ranges and extend to areas were presence records for these lizards are lacking. Our comparison of models based on different data sets indicates that finer scale models, even if based on fewer presence locations, outperform coarser scale ones. Data clustering does not have a negative effect on model performance, but is rather overcome by sample-size effects. Similar approaches may be of general application to other stenoic species for which available locations are scarce in comparison with the extension of the study area.
Language: English
Type (Professor's evaluation): Scientific
Contact: antigoni@mail.icav.up.pt
No. of pages: 10
Documents
We could not find any documents associated to the publication.
Related Publications

Of the same journal

PRESENCE OF RODLET CELLS IN THE INTRAHEPATIC BILIARY DUETS OF THE BROWN TROUT, SALMO-TRUTTA-FARIO LINNAEUS, 1758 (TELEOSTEI, SALMONIDAE) (1994)
Another Publication in an International Scientific Journal
rocha, e; MONTEIRO, RAF; PEREIRA, CA
Identification of distinct haemocyte populations from the freshwater bivalves swan mussel (Anodonta cygnea) and duck mussel (Anodonta anatina) using wheat-germ agglutinin (2017)
Article in International Scientific Journal
Hinzmann, M; Lopes Lima, M; Cerca, F; Alexandra Correia; Machado, J; Manuel Vilanova
Escape tactics of two syntopic forms of the Lacerta perspicillata complex with different colour patterns (2006)
Article in International Scientific Journal
carretero, ma; vasconcelos, r; fonseca, m; kaliontzopoulou, a; brito, jc; harris, dj; perera, a
Recommend this page Top
Copyright 1996-2025 © Faculdade de Medicina Dentária da Universidade do Porto  I Terms and Conditions  I Acessibility  I Index A-Z
Page created on: 2025-07-19 at 13:50:37 | Privacy Policy | Personal Data Protection Policy | Whistleblowing | Electronic Yellow Book