Ecology of
            <i>Echinococcus multilocularis</i>
            Transmission

Giraudoux, Patrick; Vuitton, Dominique A.; Craig, Philip S.

doi:10.1002/9781394150526.ch4

Cited by 1 publication

(1 citation statement)

References 68 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We estimated and assessed the significance of the Moran's I statistic at increasing spatial distances (0.52 decimal degrees increments) and visualized the respective correlogram (Figure S4). This analysis was conducted using the pgirmess package (Giraudoux, 2017) in R. As we found significant spatial autocorrelation in model residuals ( p ‐value < .05), for both linear regression models for PD and PE, we then used Spatial Autoregressive Models (SARs), which can address the spatial autocorrelation present in our data by incorporating a spatial weights matrix where the relationship between the residuals at each site and those at neighboring sites is defined.…”

Section: Methodsmentioning

confidence: 99%

Environmental and topographic drivers of amphibian phylogenetic diversity and endemism in the Iberian Peninsula

Paúl

Rosauer

Tarroso

et al. 2023

Ecology and Evolution

View full text Add to dashboard Cite

Understanding the ecological and evolutionary processes driving biodiversity patterns and allowing their persistence is of utmost importance. Many hypotheses have been proposed to explain spatial diversity patterns, including water‐energy availability, habitat heterogeneity, and historical climatic refugia. The main goal of this study is to identify if general spatial drivers of species diversity patterns of phylogenetic diversity (PD) and phylogenetic endemism (PE) at the global scale are also predictive of PD and PE at regional scales, using Iberian amphibians as a case study. Our main hypothesis assumes that topography along with contemporary and historical climate are drivers of phylogenetic diversity and endemism, but that the strength of these predictors may be weaker at the regional scale than it tends to be at the global scale. We mapped spatial patterns of Iberian amphibians' phylogenetic diversity and endemism, using previously published phylogenetic and distribution data. Furthermore, we compiled spatial data on topographic and climatic variables related to the water‐energy availability, topography, and historical climatic instability hypotheses. To test our hypotheses, we used Spatial Autoregressive Models and selected the best model to explain diversity patterns based on Akaike Information Criterion. Our results show that, out of the variables tested in our study, water‐energy availability and historical climate instability are the most important drivers of amphibian diversity in Iberia. However, as predicted, the strength of these predictors in our case study is weaker than it tends to be at global scales. Thus, additional drivers should also be investigated and we suggest caution when interpreting these predictors as surrogates for different components of diversity.

show abstract

Section: Methodsmentioning

confidence: 99%