Search results for "tropical forests"

showing 9 items of 9 documents

Impact of hydrologically driven hillslope erosion and landslide occurrence on soil organic carbon dynamics in tropical watersheds

2016

The dynamics of soil organic carbon (SOC) in tropical forests play an important role in the global carbon (C) cycle. Past attempts to quantify the net C exchange with the atmosphere in regional and global budgets do not systematically account for dynamic feedbacks among linked hydrological, geomorphological, and biogeochemical processes, which control the fate of SOC. Here we quantify effects of geomorphic perturbations on SOC oxidation and accumulation in two adjacent wet tropical forest watersheds underlain by contrasting lithology (volcaniclastic rock and quartz diorite) in the Luquillo Critical Zone Observatory. This study uses the spatially-explicit and physically-based model of SOC dy…

Biogeochemical cycleEnvironmental Engineering010504 meteorology & atmospheric sciencesTropical forestsLithologyLife on Land0208 environmental biotechnologyTRIBS02 engineering and technologyCoupled processesStructural basin01 natural sciencesCivil EngineeringPhysical Geography and Environmental GeoscienceTropical forestLandscape0105 earth and related environmental sciencesWater Science and TechnologyHydrologySoil organic carbonSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaLandslideSoil carbonCoupled processe020801 environmental engineeringDioriteDenudationErosionApplied EconomicsErosionCoupled processes; Erosion; Landscape; Soil organic carbon; TRIBS; Tropical forests; Water Science and TechnologyGeology
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Sensitivity of L-band vegetation optical depth to carbon stocks in tropical forests: a comparison to higher frequencies and optical indices

2019

Supplementary data to this article can be found online at https://doi.org/10.1016/j.rse.2019.111303. Monitoring vegetation carbon in tropical regions is essential to the global carbon assessment and to evaluate the actions oriented to the reduction of forest degradation. Mainly, satellite optical vegetation indices and LiDAR data have been used to this purpose. These two techniques are limited by cloud cover and are sensitive only to the top of vegetation. In addition, the vegetation attenuation to the soil microwave emission, represented by the vegetation optical depth (VOD), has been applied for biomass estimation using frequencies ranging from 4 to 30¿GHz (C- to K-bands). Atmosphere is t…

CanopyL bandTropical forestsL-band010504 meteorology & atmospheric sciencesCarbon densityCloud cover0208 environmental biotechnologySoil ScienceClimate change02 engineering and technologyCarbon sequestrationAtmospheric sciences01 natural sciencesClimate changeSatellite imageryVegetation optical depthComputers in Earth Sciences0105 earth and related environmental sciencesRemote sensingTropicsGeology:Enginyeria de la telecomunicació [Àrees temàtiques de la UPC]020801 environmental engineeringSistemes de comunicació de microonesLidarEnvironmental scienceMicrowave communication systemsSoil moistureSistemes de gestió mediambientalSòls -- Humitat
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Intercomparison of remote-sensing based evapotranspiration algorithms over amazonian forests

2019

Abstract Evapotranspiration (ET) is considered a key variable in the understanding of the Amazonian tropical forests and their response to climate change. Remote-Sensing (RS) based evapotranspiration models are presented as a feasible means in order to provide accurate spatially-distributed ET estimates over this region. In this work, the performance of four commonly used ET RS models was evaluated over Amazonia using Moderate Resolution Imaging Spectroradiometer (MODIS) data. RS models included i) Priestley-Taylor Jet Propulsion Laboratory (PT-JPL), ii) Penman-Monteith MODIS operative parametrization (PM-Mu), iii) Surface Energy Balance System (SEBS), and iv) Satellite Application Facility…

Global and Planetary ChangeAmazonian tropical forests; Terrestrial evapotranspiration; MODIS; Reanalysis010504 meteorology & atmospheric sciencesAmazonianCloud cover0211 other engineering and technologiesAmazonian tropical forestsClimate changeReanalysis02 engineering and technologyManagement Monitoring Policy and Law01 natural sciencesVariable (computer science)MODISEvapotranspirationEnvironmental scienceParametrization (atmospheric modeling)SatelliteModerate-resolution imaging spectroradiometerComputers in Earth SciencesTerrestrial evapotranspirationAlgorithm021101 geological & geomatics engineering0105 earth and related environmental sciencesEarth-Surface ProcessesInternational Journal of Applied Earth Observation and Geoinformation
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Maximun Cumulative Water Deficit - MCWD: a R language script

2019

Maximum Cumulative Water Deficit - MCWD: a R language script DOI: 10.5281/zenodo.2625772 (https://doi.org/10.5281/zenodo.2652630) Script for the calculation of MCWD (Maximum Cumulative Water Deficit) in rainfall raster data (e.g. CHIRPS and TRMM). Calculation based in Aragão et al. (2007, https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2006GL028946). Please cite as: "Campanharo, W. A., and Silva Junior, C. H. L. (2019). Maximun Cumulative Water Deficit - MCWD: a R language script. doi:10.5281/zenodo.2652630." and "Silva Junior, et al. (2019). Fire responses to the 2010 and 2015/2016 Amazonian droughts. Frontiers in Earth Science. doi:10.3389/feart.2019.00097."…

Tropical ForestsClimate ChangeForestDroughts
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Mapping a-priori defined plant associations using remotely sensed vegetation characteristics

2014

Abstract Incorporation of a priori defined plant associations into remote sensing products is a major challenge that has only recently been confronted by the remote sensing community. We present an approach to map the spatial distribution of such associations by using plant indicator values (IVs) for salinity, moisture and nutrients as an intermediate between spectral reflectance and association occurrences. For a 12 km 2 study site in the Netherlands, the relations between observed IVs at local vegetation plots and visible and near-infrared (VNIR) and short-wave infrared (SWIR) airborne reflectance data were modelled using Gaussian Process Regression (GPR) (R 2 0.73, 0.64 and 0.76 for sali…

endmember selectionCalibration (statistics)Vegetation classificationcontinuous floristic gradientsSoil Scienceimaging spectroscopy/dk/atira/pure/sustainabledevelopmentgoals/clean_water_and_sanitationLaboratory of Geo-information Science and Remote SensingKrigingmoistureLaboratorium voor Geo-informatiekunde en Remote SensingComputers in Earth SciencesRemote sensingtropical forestsHyperspectral imagingGeologyVegetationPE&RCRegressionVNIRhyperspectral imageryclassificationaviris dataellenberg indicator valuesEnvironmental scienceregressionIndicator valueSDG 6 - Clean Water and SanitationRemote Sensing of Environment
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Relaciones suelo-vegetación en una toposecuencia del Escudo Guayanés, Venezuela

2014

El Escudo Guayanés es uno de los territorios más antiguos del planeta; tiene millones de años sometido a procesos de lixiviación y erosión que dejan suelos oligotróficos. El objetivo de este trabajo fue hacer la caracterización de los parámetros físicos y químicos de los suelos, en diferentes comunidades boscosas de la Reserva Forestal Imataca, e identificar ciertas relaciones entre los componentes edáficos y las especies que allí se presentan. Se realizó un inventario de todos los individuos mayores a 10cm dap (diámetro a la altura del pecho) en 15 parcelas (1ha); en cada una de esas parcelas se evaluaron cuatro sub-parcelas de sotobosque (100m²) para contabilizar todas las espermatofitas;…

soil toxicitytropical forestsEcologysuelos oligotróficosDiameter at breast heightEdaphicUnderstoryVegetationoligotrophic soilsfragilidad de ecosistemastoxicidad del sueloecosystem susceptibilityBasal areaGeographyHigh forestlcsh:Biology (General)LianaCanonical correspondence analysisImatacabosques tropicalesGeneral Agricultural and Biological Scienceslcsh:QH301-705.5
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Global CHIRPS MCWD (Maximum Cumulative Water Deficit) Dataset

2021

Global CHIRPS MCWD Dataset The MCWD (Maximum Cumulative Water Deficit) is a measure of drought severity, which corresponds to the maximum value of the monthly accumulated water deficit reached for each pixel within the year. The MCWD is a useful indicator of meteorologically induced water stress without taking into account local soil conditions and plant adaptations, which are poorly understood in Amazonia. The full method of MCWD is described in Aragão et al. (2007; https://doi.org/10.1029/2006GL028946). Detail about CHIRPS (Rainfall Estimates from Rain Gauge and Satellite Observations) can be found in Funk et al. (2015; https://doi.org/10.1038/sdata.2015.66). Coverage: Spanning 5…

tropical forestsclimate changerainfalldroughtCHIRPS
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The legacy of human use in Amazonian palm communities along environmental and accessibility gradients

2023

Aim: Palms are iconic and dominant elements of neotropical forests. In the Amazon region, palms have been used and managed by humans for food, material, medicine and other purposes for millennia. It is, however, debated to what extent the structure of modern palm communities reflects long-term human modification. Here, we investigate the complex interplay of ecological and societal factors that influence the distributions of both human-used and non-used palms in western Amazonia. Location: Amazonia. Time period: Present. Major taxa studied: Palms (Arecaceae). Methods: We used Bayesian hierarchical joint species distribution models to predict the distributions and environmental niche dimensi…

tropical forestsmaaperäGlobal and Planetary ChangeEcologyhuman footprintkasvillisuusilmastonmuutoksetplant communitiessoilbiodiversiteettiekosysteemit (ekologia)vegetationympäristövaikutuksetluonnonvaratEcology Evolution Behavior and SystematicsbiodiversityGlobal Ecology and Biogeography
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Land surface temperature and evapotranspiration estimation in the Amazon evergreen forests using remote sensing data

2019

Amazonian tropical forests play a significant role in global water, carbon and energy cycles. Considering the relevance of this biome and the climate change projections which predict a hotter and drier climate for the region, the monitoring of the vegetation status of these forests becomes of significant importance. In this context, vegetation temperature and evapotranspiration (ET) can be considered as key variables. Vegetation temperature is directly linked with plant physiology. In addition, some studies have shown the existing relationship between this variable and the CO2 absorption capacity and biomass loss of these forests. Evapotranspiration resulting from the combined processes of …

tropical forestsmodis:CIENCIAS DE LA TIERRA Y DEL ESPACIO::Otras especialidades de la tierra espacio o entorno [UNESCO]amazonevapotranspirationUNESCO::FÍSICA::Termodinámicaland surface temperatureviirsmachine learningUNESCO::CIENCIAS DE LA TIERRA Y DEL ESPACIO::Otras especialidades de la tierra espacio o entornocloud mask:FÍSICA::Termodinámica [UNESCO]slstr
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