Caracterización geomorfológica del área natural protegida nevado de Toluca: complejo de volcanes nevado de Toluca y San Antonio

Espinosa-Rodríguez, Luis Miguel; Balderas-Plata, Miguel Ángel; Cabadas-Báez, Héctor

doi:10.29059/cienciauat.v9i1.614

Cited by 5 publications

(1 citation statement)

References 23 publications

(1 reference statement)

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“…In the middle portion of the watershed, lahar deposits cover block and ash ows that form massive units interstrati ed with surge horizons (Aceves et al 2014a, b). To the east, the volcanic piedmont continues with active fans composed of pyroclastic materials and alluvial sediment (Capra and Macías 2000;Espinosa-Rodríguez et al 2014;García-Palomo et al 2000). The landslide areas frequently create debris ows affecting the town of Santa Cruz Pueblo Nuevo.…”

Section: Introductionmentioning

confidence: 99%

Modeling Spatial Landslide Probability in Volcanic Terrains Through Continuous Neighborhood Spatial Analysis and Multiple Logistic Regression in La Ciénega Watershed, Nevado de Toluca, Mexico

Miguel

Paulín

Bonifaz-Alfonzo

et al. 2021

Preprint

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Little work has been done on the effect of the pixel neighborhood information when modeling landslide susceptibility using Multiple Logistic Regression (MLR). This research uses in situ and neighborhood cartographic information to evaluate how pixel distance of sampling sites affects the precision and accuracy of the MLR landslide susceptibility model. Two landslide susceptibility models are used: MLR-in situ, calibrated and validated by using variables that are collected at the site of the sampling point; and MLR in combination with Continuous Neighborhood Spatial Analysis (CNSA) to incorporate a search radius to extract pixel values for each cartographic variable based on a distance ratio. La Ciénega watershed on the eastern flank of the volcano Nevado de Toluca is selected as a study area. Its climate, topography, geomorphology, and geology predispose it to episodic landslides. The resulting susceptibility maps are validated in terms of the area under the curve (AUC) of the receiver operating characteristic (ROC), and they are compared with an inventory map in a contingency table; the MLR-CNSA model yields the better spatial prediction and representation of landslide susceptibility. The AUC evaluation indicates a predictive capability for the MLR-CNSA model of 0.969.

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Section: Introductionmentioning

confidence: 99%

Modeling Spatial Landslide Probability in Volcanic Terrains Through Continuous Neighborhood Spatial Analysis and Multiple Logistic Regression in La Ciénega Watershed, Nevado de Toluca, Mexico

Miguel

Paulín

Bonifaz-Alfonzo

et al. 2021

Preprint

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Bacterial diversity in fumarole environments of the Paricutín volcano, Michoacán (Mexico)

et al. 2017

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Active volcanoes are among the most extreme environments on Earth. The extreme temperatures, presence of toxic heavy metals and low nutrient bioavailability favor the development of extremophiles. We characterized the physical-chemical parameters of and bacterial communities (T-RFLP and 16S rRNA gene libraries) inhabiting fumarole niches of the Paricutín volcano located in Michoacán (Mexico). This volcano, which surged in 1943, is one of the youngest volcanoes on Earth and the microbial diversity in this area is yet to be characterized. The sampling stations were characterized in a pH range from 5.34 to 7.89 and showed different temperatures (soil, 27-87 °C; air, 13.6-56 °C) with high concentrations of metals such as iron and arsenic. The most abundant bacterial populations, confirmed by T-RFLP and 16S rRNA gene libraries, were related to members of Firmicutes and Proteobacteria phyla including sequences associated with thermophiles and sulfate reducing bacteria. Overall, the Paricutín volcano showed low bacterial diversity and its prokaryotic diversity was characterized by the impossibility of amplifying Archaea-related sequences.

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Modeling spatial landslide susceptibility in volcanic terrains through continuous neighborhood spatial analysis and multiple logistic regression in La Ciénega watershed, Nevado de Toluca, Mexico

et al. 2022

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Caracterización geomorfológica del área natural protegida nevado de Toluca: complejo de volcanes nevado de Toluca y San Antonio

Cited by 5 publications

References 23 publications

Modeling Spatial Landslide Probability in Volcanic Terrains Through Continuous Neighborhood Spatial Analysis and Multiple Logistic Regression in La Ciénega Watershed, Nevado de Toluca, Mexico

Modeling Spatial Landslide Probability in Volcanic Terrains Through Continuous Neighborhood Spatial Analysis and Multiple Logistic Regression in La Ciénega Watershed, Nevado de Toluca, Mexico

Bacterial diversity in fumarole environments of the Paricutín volcano, Michoacán (Mexico)

Modeling spatial landslide susceptibility in volcanic terrains through continuous neighborhood spatial analysis and multiple logistic regression in La Ciénega watershed, Nevado de Toluca, Mexico

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