Shaken but not stirred: multiscale habitat suitability modeling of sympatric marten species (Martes martes and Martes foina) in the northern Iberian Peninsula

2015 ◽  
Vol 31 (6) ◽  
pp. 1241-1260 ◽  
Author(s):  
Maria Vergara ◽  
Samuel A. Cushman ◽  
Fermín Urra ◽  
Aritz Ruiz-González
Keyword(s):  
Iberian Peninsula ◽  
Habitat Suitability ◽  
Martes Martes ◽  
Martes Foina ◽  
Habitat Suitability Modeling ◽  
Northern Iberian Peninsula

scholarly journals Nuevos datos de distribución de marta Martes martes en Ourense, Galicia. El fototrampeo como herramienta de muestreo de la especie

2021 ◽  
Vol 33 ◽  
pp. 1-12
Author(s):  
Marcos Mallo-Laire ◽  
Carmen Díez
Keyword(s):  
Iberian Peninsula ◽  
Camera Trapping ◽  
Distribution Area ◽  
Medium Size ◽  
Martes Martes ◽  
Pine Marten ◽  
Northern Iberian Peninsula ◽  
Highly Effective ◽  
Elusive Species ◽  
Distribution And Ecology

Pine marten Martes martes is a medium size mustelid that inhabits well-conserved forests of the northern Iberian Peninsula. Currently, the distribution and ecology of the species in the Iberian Peninsula is poorly known. In this work, 27 UTM 10x10km grids in the province of Ourense were sampled using camera-trapping techniques, with the aim of increasing knowledge about the distribution of the species in Galicia. The presence of pine marten was confirmed in 18 of the surveyed grids, which increases the species´ known distribution area by 21% in this community and by 62% in Ourense province, confirming camera-trapping specific survey as a highly effective method to know the distribution of elusive species such as the pine marten.

TREE LAYOUT METHODOLOGY FOR SHADING PEDESTRIAN ZONES: THERMAL COMFORT STUDY IN BILBAO (NORTHERN IBERIAN PENINSULA)

2021 ◽  
pp. 102996
Author(s):  
Iñigo Azcarate ◽  
Juan Ángel Acero ◽  
Leire Garmendia ◽  
Eduardo Rojí
Keyword(s):  
Thermal Comfort ◽  
Iberian Peninsula ◽  
Northern Iberian Peninsula

A PCR-RFLP method on faecal samples to distinguish Martes martes, Martes foina, Mustela putorius and Vulpes vulpes

2006 ◽  
Vol 8 (3) ◽  
pp. 757-759 ◽  
Author(s):  
Lucentini Livia ◽  
Vercillo Francesca ◽  
Palomba Antonella ◽  
Panara Fausto ◽  
Ragni Bernardino
Keyword(s):  
Vulpes Vulpes ◽  
Martes Martes ◽  
Mustela Putorius ◽  
Martes Foina ◽  
Faecal Samples ◽  
Pcr Rflp

scholarly journals Prediction of leopard habitat suitability in Taman Negara main forest complex, Malaysia

2021 ◽  
Vol 42 (3(SI)) ◽  
pp. 806-811
Author(s):  
N.F. Khodri ◽  
◽  
T. Lihan ◽  
M.A. Mustapha ◽  
T.M. Taher ◽  
...  
Keyword(s):  
Land Use ◽  
Habitat Suitability ◽  
Wildlife Conservation ◽  
Environmental Parameters ◽  
Geographical Information ◽  
Urban Habitat ◽  
Suitable Habitat ◽  
Habitat Suitability Modeling ◽  
Presence Data ◽  
Gis Data

Aim: This research assessed the distribution of leopard to predict the habitat suitability in Taman Negara National Park and adjacent forest area. Methodology: Environmental factors for habitat suitability were derived from geographical information system (GIS) data such as elevation, slope, land-use, distance from urban and distance from river. Leopard presence data from 1993 to 2008 were integrated with the environmental parameters using maximum entropy (MaxEnt) modeling to assess habitat suitability across the study area. Results: The results showed that distance from river contributed the most (39.3%) in the habitat suitability modeling followed by distance from urban (31.4%), elevation (12.3%), land use types (10.1%), and slope (6.9%). Distance from river and urban showed highest contribution that influenced leopard distribution in which most suitable habitat occurred in proximity with river and further from urban. Habitat suitability of leopard were distributed among 48% over 2,218,389 ha of the study area. Interpretation: The findings of this study provides knowledge on how the species move and exploit different habitat niches for more effective conservation management. It provide models for future wildlife conservation and urban planning.

scholarly journals Habitat suitability modeling for the endangered Hawaiian petrel on Kauai and analysis of predicted habitat overlap with the Newell’s shearwater

2017 ◽  
Vol 12 ◽  
pp. 131-143 ◽  
Author(s):  
Jeff R. Troy ◽  
Nick D. Holmes ◽  
Joseph A. Veech ◽  
André F. Raine ◽  
M. Clay Green
Keyword(s):  
Habitat Suitability ◽  
Habitat Suitability Modeling ◽  
Habitat Overlap

scholarly journals Reconstructing the sedimentary history of Lezetxiki II cave (Basque Country, northern Iberian Peninsula) using micromorphological analysis

2018 ◽  
Vol 372 ◽  
pp. 96-111 ◽  
Author(s):  
Martin Arriolabengoa ◽  
Eneko Iriarte ◽  
Arantza Aranburu ◽  
Iñaki Yusta ◽  
Lee J. Arnold ◽  
...  
Keyword(s):  
Iberian Peninsula ◽  
Basque Country ◽  
Northern Iberian Peninsula ◽  
History Of ◽  
Micromorphological Analysis

Other Techniques Related to Habitat Analysis

2021 ◽  
pp. 193-208
Author(s):  
Joseph A. Veech
Keyword(s):  
Habitat Suitability ◽  
Environmental Variables ◽  
Resource Selection ◽  
Compositional Data ◽  
Initial Step ◽  
Compositional Data Analysis ◽  
Habitat Suitability Modeling ◽  
Species Response ◽  
Habitat Analysis ◽  
Active Choice

Habitat analysis is strictly defined as a statistical examination to identify the environmental variables that a species associates with, wherein association is taken as some form of correspondence between a species response variable (e.g., presence–absence or abundance) and the environmental variables. There are other statistical techniques and empirical goals that extend this basic framework. These techniques often rely on a habitat analysis having been conducted as an initial step. Resource selection functions quantify an individual’s and a species’ use of a resource based upon the properties of the resource. Resource is broadly defined and can include particular types of habitat. Selectivity and preference indices are used to assess an individual’s preference and active choice of different resource types. Compositional data analysis is a statistical method for examining the composition of an individual’s territory or home range with regard to different habitat types that may be represented. Habitat suitability modeling and species distribution modeling are closely related techniques designed to map the spatial distribution of a species’ habitat and sometimes the species itself based upon its habitat requirements and other factors.

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