Factors determining the distribution of the spur-thighed tortoise Testudo graeca in south-east spain: a hierarchical approach

This work represents the first attempt to model the habitat-species relationships of a species of terrestrial tortoise on a large scale. We applied hierarchical variance partition methodology to Generalised Lineal Models (GLMs), with the presence of the tortoise in 1 km² cells as the response variab...

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Published inEcography (Copenhagen) Vol. 29; no. 3; pp. 339 - 346
Main Authors Anadón, José D., Giménez, Andrés, Martínez, Marcelo, Martínez, Julia, Pérez, Irene, Esteve, Miguel A.
Format Journal Article
LanguageEnglish
Published Copenhagen Blackwell Publishing Ltd 01.06.2006
Blackwell Publishing
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Abstract This work represents the first attempt to model the habitat-species relationships of a species of terrestrial tortoise on a large scale. We applied hierarchical variance partition methodology to Generalised Lineal Models (GLMs), with the presence of the tortoise in 1 km² cells as the response variable. We posited the existence of a hierarchical scheme of factors (including climate, relief and lithology, and land-use) that determine the distribution of Testugo graeca in southeastern Spain. We also identified the environmental variables within each factor with the greatest explanatory power and decoupled local vs landscape effects. Climate, followed by relief and lithology, and then land-use, turned out to be the most important factor shaping the distribution of T. graeca in south-east Spain as well as determining the presence of the species within its range. Univariate models showed that the main climate constraints were related to rainfall and extreme minimum temperatures, two factors which could be related to constraints imposed by the length of the annual activity period and productivity. Finally, multi-scale decomposition suggested that neighbouring habitat and local dynamics may also be important in the distribution of the species at the landscape scale.
AbstractList This work represents the first attempt to model the habitat-species relationships of a species of terrestrial tortoise on a large scale. We applied hierarchical variance partition methodology to Generalised Lineal Models (GLMs), with the presence of the tortoise in 1 km super(2) cells as the response variable. We posited the existence of a hierarchical scheme of factors (including climate, relief and lithology, and land-use) that determine the distribution of Testugo graeca in southeastern Spain. We also identified the environmental variables within each factor with the greatest explanatory power and decoupled local vs landscape effects. Climate, followed by relief and lithology, and then land-use, turned out to be the most important factor shaping the distribution of T. graeca in south-east Spain as well as determining the presence of the species within its range. Univariate models showed that the main climate constraints were related to rainfall and extreme minimum temperatures, two factors which could be related to constraints imposed by the length of the annual activity period and productivity. Finally, multi-scale decomposition suggested that neighbouring habitat and local dynamics may also be important in the distribution of the species at the landscape scale.
This work represents the first attempt to model the habitat-species relationships of a species of terrestrial tortoise on a large scale. We applied hierarchical variance partition methodology to Generalised Lineal Models (GLMs), with the presence of the tortoise in 1 km² cells as the response variable. We posited the existence of a hierarchical scheme of factors (including climate, relief and lithology, and land-use) that determine the distribution of Testugo graeca in southeastern Spain. We also identified the environmental variables within each factor with the greatest explanatory power and decoupled local vs landscape effects. Climate, followed by relief and lithology, and then land-use, turned out to be the most important factor shaping the distribution of T. graeca in south-east Spain as well as determining the presence of the species within its range. Univariate models showed that the main climate constraints were related to rainfall and extreme minimum temperatures, two factors which could be related to constraints imposed by the length of the annual activity period and productivity. Finally, multi-scale decomposition suggested that neighbouring habitat and local dynamics may also be important in the distribution of the species at the landscape scale.
This work represents the first attempt to model the habitat‐species relationships of a species of terrestrial tortoise on a large scale. We applied hierarchical variance partition methodology to Generalised Lineal Models (GLMs), with the presence of the tortoise in 1 km 2 cells as the response variable. We posited the existence of a hierarchical scheme of factors (including climate, relief and lithology, and land‐use) that determine the distribution of Testugo graeca in southeastern Spain. We also identified the environmental variables within each factor with the greatest explanatory power and decoupled local vs landscape effects. Climate, followed by relief and lithology, and then land‐use, turned out to be the most important factor shaping the distribution of T. graeca in south‐east Spain as well as determining the presence of the species within its range. Univariate models showed that the main climate constraints were related to rainfall and extreme minimum temperatures, two factors which could be related to constraints imposed by the length of the annual activity period and productivity. Finally, multi‐scale decomposition suggested that neighbouring habitat and local dynamics may also be important in the distribution of the species at the landscape scale.
This work represents the first attempt to model the habitat‐species relationships of a species of terrestrial tortoise on a large scale. We applied hierarchical variance partition methodology to Generalised Lineal Models (GLMs), with the presence of the tortoise in 1 km2 cells as the response variable. We posited the existence of a hierarchical scheme of factors (including climate, relief and lithology, and land‐use) that determine the distribution of Testugo graeca in southeastern Spain. We also identified the environmental variables within each factor with the greatest explanatory power and decoupled local vs landscape effects. Climate, followed by relief and lithology, and then land‐use, turned out to be the most important factor shaping the distribution of T. graeca in south‐east Spain as well as determining the presence of the species within its range. Univariate models showed that the main climate constraints were related to rainfall and extreme minimum temperatures, two factors which could be related to constraints imposed by the length of the annual activity period and productivity. Finally, multi‐scale decomposition suggested that neighbouring habitat and local dynamics may also be important in the distribution of the species at the landscape scale.
Author Martínez, Marcelo
Giménez, Andrés
Pérez, Irene
Esteve, Miguel A.
Martínez, Julia
Anadón, José D.
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Keywords Vertebrata
Reptilia
Testudo graeca
Chelonia
Distribution range
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Snippet This work represents the first attempt to model the habitat-species relationships of a species of terrestrial tortoise on a large scale. We applied...
This work represents the first attempt to model the habitat‐species relationships of a species of terrestrial tortoise on a large scale. We applied...
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SubjectTerms Amphibia. Reptilia
Animal and plant ecology
Animal, plant and microbial ecology
Biological and medical sciences
Climate models
Climatic zones
Environmental conservation
Fundamental and applied biological sciences. Psychology
General aspects
Habitat conservation
Lithology
Marine ecology
Rain
Shrublands
Statistical variance
Testudo graeca
Tortoises
Vertebrates: general zoology, morphology, phylogeny, systematics, cytogenetics, geographical distribution
Title Factors determining the distribution of the spur-thighed tortoise Testudo graeca in south-east spain: a hierarchical approach
URI https://api.istex.fr/ark:/67375/WNG-G5W0C4MH-F/fulltext.pdf
https://www.jstor.org/stable/30243118
https://onlinelibrary.wiley.com/doi/abs/10.1111%2Fj.2006.0906-7590.04486.x
https://search.proquest.com/docview/19305190
Volume 29
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