0000000000079588

AUTHOR

ÁLvaro Gómez-gutiérrez

0000-0002-2337-2638

showing 8 related works from this author

Reduction of the frequency of herbaceous roots as an effect of soil compaction induced by heavy grazing in rangelands of SW Spain

2017

Rangelands in SW Spain constitute the most extensive ranching system on the Iberian Peninsula. During the last few decades, a significant increase in livestock numbers, along with a progressive substitution of cattle for sheep, have led to land degradation processes such as the reduction of grass cover and increased soil compaction in heavily grazed areas. Nevertheless, a better understanding of how soil compaction affects grass production is still needed. In this study, some of the effects of soil compaction due to heavy grazing are analysed, mainly the reduction of the frequency of herbaceous roots and its relationships with bulk density and soil penetration resistance. The study was carr…

chemistry.chemical_classificationSòls ErosióSoil organic matterSoil science04 agricultural and veterinary sciences010501 environmental sciencesHerbaceous plant01 natural sciencesBulk densitychemistryAgronomyGrazing040103 agronomy & agriculture0401 agriculture forestry and fisheriesSoil horizonEnvironmental scienceOrganic matterRangelandWater content0105 earth and related environmental sciencesEarth-Surface ProcessesCATENA
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Assessment of susceptibility to earth-flow landslide using logistic regression and multivariate adaptive regression splines: A case of the Belice Riv…

2015

Abstract In this paper, terrain susceptibility to earth-flow occurrence was evaluated by using geographic information systems (GIS) and two statistical methods: Logistic regression (LR) and multivariate adaptive regression splines (MARS). LR has been already demonstrated to provide reliable predictions of earth-flow occurrence, whereas MARS, as far as we know, has never been used to generate earth-flow susceptibility models. The experiment was carried out in a basin of western Sicily (Italy), which extends for 51 km 2 and is severely affected by earth-flows. In total, we mapped 1376 earth-flows, covering an area of 4.59 km 2 . To explore the effect of pre-failure topography on earth-flow sp…

Multivariate adaptive regression splinesGeographic information systembusiness.industryGeographic Information Systems (GIS)Logistic regressionStatistical modelLandslideTerrainEarth-flowOverfittingLogistic regressionLandslide susceptibilityMultivariate adaptive regression splineDigital elevation modelbusinessCartographyReceiver operating characteristic curveGeologyEarth-Surface Processes
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Predicting sediment deposition rate in check-dams using machine learning techniques and high-resolution DEMs

2021

Sediments accumulated in check dams are a valuable measure to estimate soil erosion rates. Here, geographic information systems (GIS) and three machine learning techniques (MARS-multivariate adaptive regression splines, RF-random forest and SVM-support vector machine) were used, for the first time, to predict sediment deposition rate (SR) in check-dams located in six watersheds in SW Spain. There, 160 dry-stone check dams (~ 77.8 check-dams km−2), accumulated sediments during a period that varied from 11 to 23 years. The SR was estimated in former research using a topographical method and a high-resolution Digital Elevation Model (DEM) (average of 0.14 m3 ha−1 year−1). Nine environmental-to…

Mean squared error0208 environmental biotechnologyMean absolute errorSoil ScienceHigh resolution02 engineering and technology010501 environmental sciencesMachine learningcomputer.software_genre01 natural sciencesEnvironmental ChemistryDigital elevation model0105 earth and related environmental sciencesEarth-Surface ProcessesWater Science and TechnologyGlobal and Planetary ChangeMultivariate adaptive regression splinesbusiness.industryGeologyMars Exploration ProgramPollution020801 environmental engineeringCheck dam Machine learning techniques Sediment deposition rate (SR) Structure-from-motion (SfM) Unmanned aerial vehicle (UAV)Support vector machineArtificial intelligencebusinesscomputerCheck dam
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Spatial variability of the relationships of runoff and sediment yield with weather types throughout the Mediterranean basin

2019

Este artículo contiene 16 páginas, 6 figuras, 2 tablas.

010504 meteorology & atmospheric sciencesRunoffErosion; Mediterranean basin; Runoff; Sediment yield; Synoptic weather types0207 environmental engineering[SDU.STU]Sciences of the Universe [physics]/Earth Sciences02 engineering and technology01 natural sciencesMediterranean BasinHydrology (agriculture)Erosão Produção de sedimentos Escoamento Bacia MediterrânicaSoil retrogression and degradationddc:550020701 environmental engineering0105 earth and related environmental sciencesWater Science and TechnologyHydrologyMediterranean basinSediment yieldSedimentInstitut für Umweltwissenschaften und Geographie15. Life on land6. Clean waterSynoptic weather typesErosion13. Climate actionErosion; Mediterranean basin; Runoff; Sediment yield; Synoptic weather types; Water Science and TechnologyErosionEnvironmental scienceSpatial variabilitySoil conservationSurface runoff
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Relationship of Weather Types on the Seasonal and Spatial Variability of Rainfall, Runoff, and Sediment Yield in the Western Mediterranean Basin

2020

Producción Científica

Mediterranean climateWestern MediterraneanRainfallAtmospheric ScienceWater en Landgebruik010504 meteorology & atmospheric sciencesClimateanalysesSedimentació02 engineering and technology[SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics Phylogenetics and taxonomy01 natural sciencesMediterranean BasinSoilBodemLluviaSoil Water and Land UseGeologíaweather types; rainfall; runoff; erosion; sediment yield; seasonal analyses; Mediterranean basinErosion Mediterranean basin Rainfall Runoff Seasonal analyses Sediment yield Weather types020701 environmental engineeringPrecipitacions (Meteorologia)Sediment yieldEdafología[SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/BotanicsPE&RC2502 ClimatologíaDrenatge6. Clean waterWeather typesTipos de climaErosiónPrecipitations (Meteorology)2511 Ciencias del Suelo (Edafología)2508.10 PrecipitaciónSeasonal analysesAnticycloneErosióErosionErosionDrainageMediterrània occidentalSoil erosion--Climatic factorsCuenca mediterraneaRunoff0207 environmental engineeringEnvironmental Science (miscellaneous)lcsh:QC851-999complex mixtures[SDV.EE.ECO]Life Sciences [q-bio]/Ecology environment/EcosystemsAtmospheric instabilitySettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliDatasets0105 earth and related environmental sciencesMediterraneanbasinHydrologyWater and Land UseRainfalfungiMediterranean basinSedimentSedimentation and depositionseasonal15. Life on landAtmosfera -- Aspectes ambientalsBodem Water en Landgebruik13. Climate action:Enginyeria agroalimentària::Ciències de la terra i de la vida [Àrees temàtiques de la UPC]Soil erosionEnvironmental scienceRainfall frequenciesSpatial variabilitylcsh:Meteorology. ClimatologyClima[SDE.BE]Environmental Sciences/Biodiversity and EcologySurface runoff
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Using topographical attributes to evaluate gully erosion proneness (susceptibility) in two mediterranean basins: advantages and limitations

2015

Empirical multivariate predictive models represent an important tool to estimate gully erosion susceptibility. Topography, lithology, climate, land use and vegetation cover are commonly used as input for these approaches. In this paper, two multivariate predictive models were generated for two gully erosion processes in San Giorgio basin (Italy) and Mula River basin (Spain) using only topographical attributes as independent variables. Initially, nine models (five for San Giorgio and four for Mula) with pixel sizes ranging from 2 to 50 m were generated, and validation statistics were calculated to estimate the optimal pixel size. The best models were selected based on model performance using…

Mediterranean climategeographyTopographic Wetness IndexMultivariate statisticsTopographyAtmospheric Sciencegeography.geographical_feature_categoryLandformDrainage basinStructural basinDigital elevation models (DEMs)Topographical attributeNatural hazardEarth and Planetary Sciences (miscellaneous)Empirical multivariate modelGully erosion susceptibilityDigital elevation modelGeomorphologyGeologyWater Science and Technology
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Morphometric and hydraulic geometry assessment of a gully in SW Spain

2016

Abstract Gully erosion represents one of the most significant types of land degradation in the Mediterranean areas, giving place to important on- and off-site effects. In this paper, a second-order gully located in SW Spain is analyzed. Along the gully, 28 cross-sections were established and measured with a Leica TCRM1102 laser total station, approximately every 6 months from 2001 to 2007. The sections were located at variable distance, placing them in areas where active erosion was evident. In total, 13 field measurements were carried out, and the geometric characteristics of 28 cross-sections were obtained. Morphometric analyses were carried out in both the main gully and a tributary reac…

Mediterranean climate010504 meteorology & atmospheric sciencesSettore GEO/04 - Geografia Fisica E GeomorfologiaGeometryDownstream hydraulic geometryBankfull discharge; Downstream hydraulic geometry; Gully; Morphometric analysis; Earth-Surface Processes01 natural sciencesGullyMorphometric analysiTributarySettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliBankfull dischargeGeomorphology0105 earth and related environmental sciencesEarth-Surface ProcessesHydrologygeographygeography.geographical_feature_categoryLandformEphemeral key04 agricultural and veterinary sciencesFlow velocity040103 agronomy & agricultureErosion0401 agriculture forestry and fisheriesEmpirical relationshipChannel (geography)Geology
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Earth-flow susceptibility assessment in the Marvello River basin (Sicily, Italy)

2014

In this study, statistical models of earth-flow susceptibility were prepared using logistic regression. The analyses were carried out in a small (51 km2) basin of western Sicily, where 1,376 earth-flows were identified. To predict the spatial distribution of the mapped landslides, outcropping lithology and seven topographic attributes were exploited as explanatory variables. Before calculating these variables, a reconstruction of the pre-failure topography was performed. To evaluate the predictive skill and the robustness of the models, two groups made of five random subsets of earth-flows and stable cells were prepared. Absences of the first group were selected as individual cells whereas …

Settore GEO/04 - Geografia Fisica E GeomorfologiaGeographic Information Systems (GIS)Logistic regressionSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliEarth-flowLandslide susceptibilitySicily
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