Search results for "Spatial Ecology"

showing 10 items of 191 documents

Seasonal Analysis of Surface Soil Moisture Dry-Downs in a Land-Atmosphere Hotspot as Seen by LSM and Satellite Products

2018

The soil drying process is a challenging framework to assess climatic, hydrologic and ecosystem processes. This work develops a seasonal analysis of temporal e-folding decay ( $\tau$ ) of surface soil moisture dry-downs using ORCHIDEE land surface model and SMOS observations over South Eastern South America (SESA). Results show that the soil drying process depends on both location and season, and that the modeled drying velocity is faster than the observed one, even when modeled data is sampled at the same frequency as the observations. Differences between observed and modeled data have been found both in the analysis of the regional overall $\tau$ and in the spatial patterns of $\tau$ esti…

010504 meteorology & atmospheric sciences0208 environmental biotechnology02 engineering and technologyAtmospheric sciences01 natural sciences020801 environmental engineeringHotspot (geology)Spatial ecologyEnvironmental scienceEcosystemWater contentSoil dryingSouth eastern0105 earth and related environmental sciencesIGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium
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2019

Abstract. This study uses the synergy of multi-resolution soil moisture (SM) satellite estimates from the Soil Moisture Ocean Salinity (SMOS) mission, a dense network of ground-based SM measurements, and a soil–vegetation–atmosphere transfer (SVAT) model, SURFEX (externalized surface), module ISBA (interactions between soil, biosphere and atmosphere), to examine the benefits of the SMOS level 4 (SMOS-L4) version 3.0, or “all weather” high-resolution soil moisture disaggregated product (SMOS-L43.0; ∼1 km). The added value compared to SMOS level 3 (SMOS-L3; ∼25 km) and SMOS level 2 (SMOS-L2; ∼15 km) is investigated. In situ SM observations over the Valencia anchor station (VAS; SMOS calibrati…

010504 meteorology & atmospheric sciences0208 environmental biotechnologyFlood forecastingInitializationBiosphere02 engineering and technologyVegetation01 natural sciences020801 environmental engineeringClimatologySpatial ecologyEnvironmental scienceSatelliteSpatial variabilityWater content0105 earth and related environmental sciencesHydrology and Earth System Sciences
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The global forest above-ground biomass pool for 2010 estimated from high-resolution satellite observations

2021

Funding Information: We are thankful to the GlobBiomass project team and Frank Martin Seifert (ESA) for valuable suggestions and stimulating scientific discussions. We are thankful to Takeo Tadono (JAXA EORC), Masato Hayashi, (JAXA EORC), Kazufumi Kobayashi (RESTEC), Åke Rosenqvist (soloEO), and Josef Kellndorfer (EBD) for support with the use and interpretation of the ALOS PALSAR mosaics. Support by the CCI Land Cover project team, in particular Sophie Bontemps (UCL), is greatly acknowledged. The help from Martin Jung (MPI-BGC) in feature selection and Ulrich Weber (MPI-BGC) for data processing for the GSV-to-AGB conversions is greatly acknowledged. Forest inventory data for the validation…

010504 meteorology & atmospheric sciencesALOS PALSAR0211 other engineering and technologies02 engineering and technology01 natural sciencesLaboratory of Geo-information Science and Remote SensingSDG 13 - Climate ActionGE1-350BiomassEMISSIONSSDG 15 - Life on LandQE1-996.5GROWING STOCK VOLUMETaigaGeologyPE&RCPlant Production SystemsMAPbiomaCARBON-CYCLECrop and Weed EcologySynthetic aperture radarPhysical geographyRETRIEVALUNITED-STATESEarth and Planetary Sciences(all)Synthetic aperture radarSubtropicsSpatial distributionEnvironmental scienceCarbon cycletropicsTemperate climateBOREAL FORESTSMANAGEMENTLife ScienceSpatial ecologySpatial distributionLaboratorium voor Geo-informatiekunde en Remote Sensing021101 geological & geomatics engineering0105 earth and related environmental sciencesForest inventoryRadarTemperate climateEnvironmental sciencesSatelliteEarth and Environmental SciencesDENSITYPlantaardige ProductiesystemenSpatial ecologyEnvironmental scienceGeneral Earth and Planetary SciencescavelabPhysical geographyForest inventory
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Developing an indicator-modelling approach to forecast changes in nitrogen critical load exceedance across Europe arising from agricultural reform

2011

International audience; Atmospheric nitrogen (N) deposition above the critical load causes eutrophication with adverse impacts on biodiversity. Average Accumulated critical load Exceedance (AAE) is a measure of the amount of critical load exceedance and the area of habitat which is affected, and has been adopted in Europe as a pressure indicator for biodiversity. In Europe, AAE is calculated by the Coordination Centre for Effects (CCE) of the United Nations Economic Commission for Europe based on modelled nitrogen deposition and country-level reporting of critical load thresholds and ecosystem area. Due to differences in country-level reporting, AAE values for semi-natural habitats may show…

010504 meteorology & atmospheric sciencesBiodiversityGeneral Decision Sciences010501 environmental sciences01 natural sciencesAMMONIA EMISSIONEnvironmental protectionEcosystemEcology Evolution Behavior and Systematics0105 earth and related environmental sciences2. Zero hungerCritical loadNITROGEN DEPOSITIONEcologyEMISSION D'AMONIAQUEbusiness.industry15. Life on landDeposition (aerosol physics)Habitat13. Climate actionAgricultureEUTROPHICATIONSpatial ecologyEnvironmental scienceBIODIVERSITYCAP REFORM[SDE.BE]Environmental Sciences/Biodiversity and EcologyEutrophicationbusiness
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Climate indices for the Baltic states from principal component analysis

2017

Abstract. We used principal component analysis (PCA) to derive climate indices that describe the main spatial features of the climate in the Baltic states (Estonia, Latvia, and Lithuania). Monthly mean temperature and total precipitation values derived from the ensemble of bias-corrected regional climate models (RCMs) were used. Principal components were derived for the years 1961–1990. The first three components describe 92 % of the variance in the initial data and were chosen as climate indices in further analysis. Spatial patterns of these indices and their correlation with the initial variables were analyzed, and it was detected (based on correlation coefficient between principal compon…

010504 meteorology & atmospheric sciencesCorrelation coefficientlcsh:Dynamic and structural geology0208 environmental biotechnologylcsh:QE1-996.502 engineering and technologySeasonalitymedicine.disease01 natural sciences020801 environmental engineeringLatitudelcsh:Geologylcsh:QE500-639.5ClimatologyPrincipal component analysisSpatial ecologymedicineGeneral Earth and Planetary SciencesCommon spatial patternEnvironmental scienceClimate modellcsh:QPrecipitationlcsh:Science0105 earth and related environmental sciencesEarth System Dynamics
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Contribution of environmental factors to temperature distribution at different resolution levels on the forefield of the Loven Glaciers (Svalbard)

2007

ABSTRACTThe climate and its components (temperature and precipitation) are organised according to different spatial scales that are structured hierarchically. The aim of this paper is to explore the dependence between temperature and deterministic factors at different scales on a 10 km2 study area on the northwestern coast of Svalbard. A GIS was developed which contained three sources of information: temperature, remotely sensed imagery and digital elevation models (DEM), and derived raster data layers. The first layer, temperatures, was acquired at regularly observed temporal intervals from 53 stations. The second layer comprised remotely sensed images (aerial photography and SPOT imagery)…

010504 meteorology & atmospheric sciencesEcology[SHS.GEO] Humanities and Social Sciences/GeographyGeography Planning and Development0207 environmental engineeringElevation02 engineering and technology[SHS.GEO]Humanities and Social Sciences/Geography15. Life on land01 natural sciences[ SHS.GEO ] Humanities and Social Sciences/GeographyRaster dataAerial photography13. Climate actionLinear regressionSpatial ecologyGeneral Earth and Planetary Sciences020701 environmental engineeringDigital elevation modelScale (map)Image resolutionGeology0105 earth and related environmental sciencesRemote sensing
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Testing simple scaling in soil erosion processes at plot scale

2018

Abstract Explaining scale effects for runoff and erosion improves our understanding and simulation ability of hydrological and erosion processes. In this paper, plot scale effects on event runoff per unit area (Qe), sediment concentration (Ce) and soil loss per unit area (SLe) were checked at El Teularet-Sierra de Enguera experimental site in Eastern Spain. The measurements were carried out for 31 events occurring in the years 2005 and 2007 in bare ploughed plots ranging from 1 to 48 m2. The analysis established the scaling relationship by dimensional analysis and self-similarity theory, and tested this relationship at different temporal scales ranging from event to annual scale. The dimens…

010504 meteorology & atmospheric sciencesScale (ratio)Runoff0208 environmental biotechnologySoil scienceNatural rainfall02 engineering and technology01 natural sciencesHydrology (agriculture)Settore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliTemporal scalesScaling0105 earth and related environmental sciencesEarth-Surface ProcessesPlotsSedimentPE&RC020801 environmental engineeringScalePlotSediment concentrationSpatial ecologyErosionSoil erosionEnvironmental scienceSurface runoff
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Simulación de flujos de carbono terrestres mediante teledetección y modelización de ecosistemas

2019

[EN] The main goal of this thesis is the establishment of a framework to analyze the forest ecosystems in peninsular Spain in terms of their role in the carbon cycle. In particular, the carbon fluxes that they exchange with atmosphere are modeled to evaluate their potential as carbon sinks and biomass reservoirs. The assessment of gross and net carbon fluxes is performed at 1-km spatial scale and on a daily basis using two different ecosystem models, Monteith and BIOME-BGC, respectively. These models are driven by a combination of satellite and ground data, part of the latter being also employed as a complementary data source and in the validation process. [ES] El objetivo principal de esta…

010504 meteorology & atmospheric sciencesWater stressGeography Planning and Development0211 other engineering and technologieslcsh:G1-922BIOME-BGC02 engineering and technologyAtmospheric sciences01 natural sciencesCarbon cycleAtmosphereforestwater stressEcosystem modelForest ecologyEarth and Planetary Sciences (miscellaneous)EcosystemForest021101 geological & geomatics engineering0105 earth and related environmental sciencesBiomass (ecology)Carbon sinkFlujos de carbonoBosquesMonteithEstrés hídricoSpatial ecologyEnvironmental scienceBIOM-BGClcsh:Geography (General)Carbon fluxes (GPP NEP)Revista de Teledetección
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Global Groundwater-Vegetation Relations

2017

Groundwater is an integral component of the water cycle, and it also influences the carbon cycle by supplying moisture to ecosystems. However, the extent and determinants of groundwater-vegetation interactions are poorly understood at the global scale. Using several high-resolution data products, we show that the spatial patterns of ecosystem gross primary productivity and groundwater table depth are correlated during at least one season in more than two-thirds of the global vegetated area. Positive relationships, i.e., larger productivity under shallower groundwater table, predominate in moisture-limited dry to mesic conditions with herbaceous and shrub vegetation. Negative relationships, …

010504 meteorology & atmospheric sciencesWater table0208 environmental biotechnology02 engineering and technologyecohydrological patterns01 natural sciencesgroundwaterEcosystemWater cycleplant productivity0105 earth and related environmental sciencesHydrologyecosystemVegetation15. Life on land6. Clean water020801 environmental engineeringGeophysicsProductivity (ecology)13. Climate actionSpatial ecologyGeneral Earth and Planetary SciencesEnvironmental scienceGroundwaterWater usespatial covariation
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Local temperatures inferred from plant communities suggest strong spatial buffering of climate warming across Northern Europe

2013

Recent studies from mountainous areas of small spatial extent (2500 km(2) ) suggest that fine-grained thermal variability over tens or hundreds of metres exceeds much of the climate warming expected for the coming decades. Such variability in temperature provides buffering to mitigate climate-change impacts. Is this local spatial buffering restricted to topographically complex terrains? To answer this, we here study fine-grained thermal variability across a 2500-km wide latitudinal gradient in Northern Europe encompassing a large array of topographic complexities. We first combined plant community data, Ellenberg temperature indicator values, locally measured temperatures (LmT) and globally…

0106 biological sciences010504 meteorology & atmospheric sciencesClimate ChangeClimate changeMetapopulation010603 evolutionary biology01 natural sciencesEnvironmental ChemistryPlant Physiological Phenomena0105 earth and related environmental sciencesGeneral Environmental ScienceGlobal and Planetary ChangeEcologyGeographyGlobal warmingTemperaturePlant communityBiota15. Life on landModels TheoreticalBiotaSpatial heterogeneityEurope13. Climate actionClimatologySpatial ecologySpatial extent
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