Search results for "Fire-affected area"

showing 2 items of 2 documents

Mulching practices for reducing soil water erosion: A review

2016

Abstract Among the soil conservation practices that are used, mulching has been successfully applied to reduce soil and water losses in different contexts, such as agricultural lands, fire-affected areas, rangelands and anthropic sites. In these contexts, soil erosion by water is a serious problem, especially in semi-arid and semi-humid areas of the world. Although the beneficial effects of mulching are known, further research is needed to quantify them, especially in areas where soil erosion by water represents a severe threat. In the literature, there are still some uncertainties about how to maximize the effectiveness of mulching to reduce the soil and water loss rates. Given the serious…

Vegetative residuesSoil biodiversityAgroforestryMulching Vegetative residues Soil water erosion Agricultural lands Fire-affected areas04 agricultural and veterinary sciencesAgricultural engineering010501 environmental sciences01 natural sciencesFire-affected areasSoil managementNo-till farmingAgricultural landsAgricultural soil scienceSoil retrogression and degradationMulchingSoil water040103 agronomy & agriculture0401 agriculture forestry and fisheriesGeneral Earth and Planetary SciencesEnvironmental scienceSoil water erosionSurface runoffSoil conservation0105 earth and related environmental sciencesEarth-Science Reviews
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Mapping Ash CaCO3, pH, and Extractable Elements Using Principal Component Analysis

2017

Abstract Ash cover in fire-affected areas is an important factor in the reduction of soil erosion and increased availability of soil nutrients. Thus it is important to understand the spatial distribution of ash and its capacity for soil protection and to provide nutrients to the underlying soil. In this work, we aimed to map ash CaCO3, pH, and select extractable elements using a principal component analysis (PCA). Four days after a medium to severe wildfire, we established a grid in a 9 ×27 m area on a west facing slope and took ash samples every 3 m for a total of 40 sampling points. The PCA carried out retained five different factors. Factor 1 had high positive loadings for ash with elect…

Materials sciencePotassiumSampling (statistics)chemistry.chemical_elementMineralogyAshPrincipal component analysiManganeseSpatial distributioncomplex mixturesNutrientchemistryMappingKrigingPrincipal component analysisFire-affected areaCommon spatial patternEarth and Planetary Sciences (all)
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