Search results for "LAND"

showing 10 items of 9939 documents

A Participatory Agrobiodiversity Conservation Approach in the Oases: Community Actions for the Promotion of Sustainable Development in Fragile Areas

2021

Rural development policies today include significant directions towards ecological transition and sustainability. Biodiversity plays a fundamental role, especially in fragile environments. The North African oases, for example, are socio-ecological structures with delicate balances in terms of natural resources, where the activation of participatory conservation approaches appears today to be very useful, aiming at long-lasting results. This type of approach was applied in the oasis of El Hamma, in Tunisia. The socio-ecological analysis was carried out through semi-structured interviews with different stakeholders of the oasis. The results were used to activate focus groups and to identify, …

010504 meteorology & atmospheric sciencesQH301-705.5media_common.quotation_subjectBiodiversity010501 environmental sciences01 natural sciencessocio-ecological systemsPromotion (rank)agrobiodiversityoasisagrobiodiversity; oasis; ecosystems; sustainable development; socio-ecological systemsBiology (General)Traditional knowledgeEnvironmental planning0105 earth and related environmental sciencesNature and Landscape Conservationmedia_commonSustainable developmentsustainable developmentEcologyEcological ModelingCitizen journalismAgricultural and Biological Sciences (miscellaneous)Natural resourceAgrobiodiversity Ecosystems Oasis Socio-ecological systems Sustainable developmentSettore AGR/03 - Arboricoltura Generale E Coltivazioni ArboreeGeographySustainabilityAgricultural biodiversityecosystemsDiversity
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A review of mental health and wellbeing under climate change in small island developing states (SIDS)

2021

AbstractSmall island developing states (SIDS) are often at the forefront of climate change impacts, including those related to health, but information on mental health and wellbeing is typically underreported. To help address this research lacuna, this paper reviews research about mental health and wellbeing under climate change in SIDS. Due to major differences in the literature’s methodologies, results, and analyses, the method is an overview and qualitative evidence synthesis of peer-reviewed publications. The findings show that mental health and wellbeing in the context of climate change have yet to feature prominently and systematically in research covering SIDS. It seems likely that m…

010504 meteorology & atmospheric sciencesQualitative evidenceClimate changeislandsContext (language use)adaptationAffect (psychology)migration01 natural sciences03 medical and health sciences0302 clinical medicinewellbeingDevelopment economicsNarrative030212 general & internal medicineTopical Reviewskin and connective tissue diseases0105 earth and related environmental sciencesGeneral Environmental ScienceRenewable Energy Sustainability and the EnvironmentPublic Health Environmental and Occupational HealthMental healthclimate changeVDP::Medisinske Fag: 700::Helsefag: 800sense organsSmall Island Developing StatesPsychologymental healthHealthcare systemimmobility
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Hydrological drivers of wetland vegetation community distribution within Everglades National Park, Florida

2010

The influence of hydrological dynamics on vegetation distribution and the structuring of wetland environments is of growing interest as wetlands are modified by human action and the increasing threat from climate change. Hydrological properties have long been considered a driving force in structuring wetland communities. We link hydrological dynamics with vegetation distribution across Everglades National Park (ENP) using two publicly available datasets to study the probability structure of the frequency, duration, and depth of inundation events along with their relationship to vegetation distribution. This study is among the first to show hydrologic structuring of vegetation communities at…

010504 meteorology & atmospheric sciencesRange (biology)Climate changeWetland010501 environmental sciences01 natural sciencesModelsVegetation typeValidationLandscapeTemporal scales0105 earth and related environmental sciencesWater Science and TechnologyHydrologyEverglades Vegetation Hydrology Wetlandsgeographygeography.geographical_feature_categoryVegetationNational parkSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaCommunity structureVegetation15. Life on landEvergladesScale13. Climate actionWetlandsEnvironmental scienceHydrology
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Evaluation of deep learning algorithms for national scale landslide susceptibility mapping of Iran

2021

The identification of landslide-prone areas is an essential step in landslide hazard assessment and mitigation of landslide-related losses. In this study, we applied two novel deep learning algorithms, the recurrent neural network (RNN) and convolutional neural network (CNN), for national-scale landslide susceptibility mapping of Iran. We prepared a dataset comprising 4069 historical landslide locations and 11 conditioning factors (altitude, slope degree, profile curvature, distance to river, aspect, plan curvature, distance to road, distance to fault, rainfall, geology and land-sue) to construct a geospatial database and divided the data into the training and the testing dataset. We then d…

010504 meteorology & atmospheric sciencesReceiver operating characteristicbusiness.industryDeep learningSpatial databaselcsh:QE1-996.5Deep learningLandslideIranLandslide susceptibility010502 geochemistry & geophysicsRNN01 natural sciencesConvolutional neural networklcsh:GeologyLandslideRecurrent neural networkGeneral Earth and Planetary SciencesArtificial intelligenceScale (map)businessAlgorithmCNNGeology0105 earth and related environmental sciencesGeoscience Frontiers
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Remote sensing algorithms for estimation of fractional vegetation cover using pure vegetation index values: A review

2020

Abstract Green fractional vegetation cover ( f c ) is an important phenotypic factor in the fields of agriculture, forestry, and ecology. Spatially explicit monitoring of f c via relative vegetation abundance (RA) algorithms, especially those based on scaled maximum/minimum vegetation index (VI) values, has been widely investigated in remote sensing research. Although many studies have explored the effectiveness of RA algorithms over the past 30 years, a literature review summarizing the corresponding theoretical background, issues, current state-of-the-art techniques, challenges, and prospects has not yet been published. The overall objective of the present study was to accomplish a compre…

010504 meteorology & atmospheric sciencesResilient Livelihoods0211 other engineering and technologies02 engineering and technologyForests01 natural sciencesNormalized Difference Vegetation IndexArticleVegetation coverAbundance (ecology)Computers in Earth SciencesAdaptationEngineering (miscellaneous)Image resolution021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingMathematicsEstimationVegetationBiodiversity15. Life on landAtomic and Molecular Physics and OpticsComputer Science ApplicationsRemote sensing (archaeology)Vegetation IndexAlgorithm
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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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Applying the USLE Family of Models at the Sparacia (South Italy) Experimental Site

2016

Soil erosion is a key process to understand the land degradation, and modelling of soil erosion will help to understand the process and to foresee its impacts. The applicability of the Universal Soil Loss Equation (USLE) at event scale is affected by the fact that USLE rainfall erosivity factor does not take into account runoff explicitly. USLE-M and USLE-MM, including the effect of runoff in the event rainfall– runoff erosivity factor, are characterized by a better capacity to predict event soil loss. The specific objectives of this paper were (i) to determine the suitable parameterization of USLE, USLE-M and USLE-MM by using the dataseries of Sparacia experimental site and (ii) to evaluat…

010504 meteorology & atmospheric sciencesScale (ratio)Soil ScienceSoil scienceDevelopment01 natural sciencesDeposition (geology)Soil lossplot soil loUSLE-MMSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliEnvironmental Chemistry0105 earth and related environmental sciencesGeneral Environmental ScienceEvent (probability theory)Hydrologysoil erosionSediment04 agricultural and veterinary sciencesUniversal Soil Loss Equation040103 agronomy & agricultureLand degradationUSLE-M0401 agriculture forestry and fisheriesEnvironmental scienceSurface runoffEvent scaleLand Degradation & Development
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SMOS-IC : a revised SMOS product based on a new effective scattering albedo and soil roughness parameterization

2017

International audience; This study presents a new SMOS (Soil Moisture and Ocean Salinity) soil moisture (SM) product based on a different scattering albedo and soil roughness parameterization: the SMOS-IC (SMOS INRA-CESBIO) data set. In this study, several parameterizations of the vegetation and soil roughness parameters (co, H-R and N-RP, P = H, V) were tested and the retrieved SM was compared against in situ observations obtained from the International Soil Moisture Network (ISMN). Firstly, values of omega = 0.10, H-R = 0.4 and N-RP = -1 (P = H, V) were found globally. Secondly, a calibration of these parameters was obtained for the different land cover categories of the International Geo…

010504 meteorology & atmospheric sciencesScattering[SDV]Life Sciences [q-bio]0211 other engineering and technologies02 engineering and technologyLand coverVegetation15. Life on landAlbedoAtmospheric sciences01 natural sciences13. Climate actionProduct (mathematics)[SDE]Environmental SciencesCalibrationEnvironmental scienceWater contentSoil roughness021101 geological & geomatics engineering0105 earth and related environmental sciences
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Transboundary Basins Need More Attention: Anthropogenic Impacts on Land Cover Changes in Aras River Basin, Monitoring and Prediction.

2020

Changes in land cover (LC) can alter the basin hydrology by affecting the evaporation, infiltration, and surface and subsurface flow processes, and ultimately affect river water quantity and quality. This study aimed to monitor and predict the LC composition of a major, transboundary basin contributing to the Caspian Sea, the Aras River Basin (ARB). To this end, four LC maps of ARB corresponding to the years 1984, 2000, 2010, and 2017 were generated using Landsat satellite imagery from Armenia and the Nakhchivan Autonomous Republic. The LC gains and losses, net changes, exchanges, and the spatial trend of changes over 33 years (1984–2017) were investigated. The most important drivers of the…

010504 meteorology & atmospheric sciencesScienceDrainage basinland change modelerLand cover010501 environmental sciencesStructural basin01 natural sciencesremote sensingHydrology (agriculture)Satellite imagerySubsurface flow0105 earth and related environmental sciences2. Zero hungergeographygeography.geographical_feature_categorybusiness.industryQ15. Life on land6. Clean wateranthropogenic impactsWater resourcesAras River Basin13. Climate actionAgriculturetransboundary basinGeneral Earth and Planetary SciencesEnvironmental scienceWater resource managementbusinessRemote sensing
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An assessment of the global impact of 21st century land use change on soil erosion

2017

Human activity and related land use change are the primary cause of accelerated soil erosion, which has substantial implications for nutrient and carbon cycling, land productivity and in turn, worldwide socio-economic conditions. Here we present an unprecedentedly high resolution (250 × 250 m) global potential soil erosion model, using a combination of remote sensing, GIS modelling and census data. We challenge the previous annual soil erosion reference values as our estimate, of 35.9 Pg yr−1 of soil eroded in 2012, is at least two times lower. Moreover, we estimate the spatial and temporal effects of land use change between 2001 and 2012 and the potential offset of the global application o…

010504 meteorology & atmospheric sciencesScienceGeneral Physics and AstronomyHigh resolution010501 environmental sciences01 natural sciencesArticleGeneral Biochemistry Genetics and Molecular BiologyAnthropogenic effect census conservation management environmental impact assessment GIS global perspective human activity land use change remote sensing soil conservation soil erosionSoutheast asiaCarbon cycleNutrientSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliLand use land-use change and forestrylcsh:Scienceskin and connective tissue diseases0105 earth and related environmental sciencesLand productivityMultidisciplinaryQGeneral ChemistryAgriculture and Soil ScienceReference valuesEnvironmental sciencelcsh:QPhysical geographysense organs
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