Search results for "LEAF-AREA"

showing 4 items of 4 documents

Light availability and land‐use history drive biodiversity and functional changes in forest herb layer communities

2020

International audience; A central challenge of today's ecological research is predicting how ecosystems will develop under future global change. Accurate predictions are complicated by (a) simultaneous effects of different drivers, such as climate change, nitrogen deposition and management changes; and (b) legacy effects from previous land use. We tested whether herb layer biodiversity (i.e. richness, Shannon diversity and evenness) and functional (i.e. herb cover, specific leaf area [SLA] and plant height) responses to environmental change drivers depended on land-use history. We used resurvey data from 192 plots across nineteen European temperate forest regions, with large spatial variabi…

0106 biological sciencesEnvironmental change[SDV]Life Sciences [q-bio]LEAF-AREADIVERSITYBiodiversitybiodiversity measuresClimate changeINDICATOR VALUESPlant Science010603 evolutionary biology01 natural sciencesforest canopy featuresBosecologie en BosbeheerPLANT-COMMUNITIES/dk/atira/pure/core/keywords/biologyEcology Evolution Behavior and Systematics2. Zero hungerForest floorLIMITATIONatmospheric depositionsEcologyEcologySPECIES RICHNESSresurveyBiology and Life SciencesTemperate forestGlobal changepost-agricultural forests15. Life on landPE&RCForest Ecology and Forest ManagementNITROGENclimate changeTEMPERATE FORESTEcosystems Research13. Climate actionEarth and Environmental SciencesEnvironmental scienceSpecies evennessVEGETATIONSpecies richnessRESPONSESfunctional signature010606 plant biology & botanyJournal of Ecology
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Hyperspectral response of agronomic variables to background optical variability: Results of a numerical experiment

2022

Understanding how biophysical and biochemical variables contribute to the spectral characteristics of vegetation canopies is critical for their monitoring. Quantifying these contributions, however, remains difficult due to extraneous factors such as the spectral variability of canopy background materials, including soil/crop-residue moisture, soil-type, and non-photosynthetic vegetation (NPV). This study focused on exploring the spectral response of two important agronomic variables (1) leaf chlorophyll content (Cab ) and (2) leaf area index (LAI) under various canopy backgrounds through a global sensitivity analysis of wheat-like canopy spectra simulated using the physically-based PROSAIL …

Atmospheric ScienceResilient LivelihoodsLEAF-AREA-INDEXSoil typePHOTOCHEMICAL REFLECTANCE INDEXBIOPHYSICAL PROPERTIESMeteorology & Atmospheric SciencesAdaptationLeaf chlorophyll contentGlobal and Planetary ChangeScience & TechnologyVEGETATION INDEXESSPECTRAL INDEXESGLOBAL SENSITIVITY-ANALYSISAgricultureNon-photosynthetic vegetationForestry22/4 OA procedureAgronomyHyperspectral responseGlobal sensitivity analysisITC-ISI-JOURNAL-ARTICLEPhysical SciencesLeaf area indexCHLOROPHYLL CONTENTGREEN LAILife Sciences & BiomedicineCANOPY REFLECTANCEAgronomy and Crop ScienceRADIATIVE-TRANSFER MODELAgricultural and Forest Meteorology
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Mapping Vegetation Density in a Heterogeneous River Floodplain Ecosystem Using Pointable CHRIS/PROBA Data

2012

River floodplains in the Netherlands serve as water storage areas, while they also have the function of nature rehabilitation areas. Floodplain vegetation is therefore subject to natural processes of vegetation succession. At the same time, vegetation encroachment obstructs the water flow into the floodplains and increases the flood risk for the hinterland. Spaceborne pointable imaging spectroscopy has the potential to quantify vegetation density on the basis of leaf area index (LAI) from a desired view zenith angle. In this respect, hyperspectral pointable CHRIS data were linked to the ray tracing canopy reflectance model FLIGHT to retrieve vegetation density estimates over a heterogeneous…

010504 meteorology & atmospheric sciencesFloodplainWater flowpointable sensors; CHRIS/PROBA; leaf area index (LAI); inversion; radiative transfer (RT) model; FLIGHT; river floodplain ecosystem; vegetation density; hydraulic roughnessleaf area index (LAI)0211 other engineering and technologiesClimate change02 engineering and technologyCHRIS/PROBA01 natural sciencesforestinversionLaboratory of Geo-information Science and Remote SensingLaboratorium voor Geo-informatiekunde en Remote SensingLeaf area indexcoverlcsh:ScienceZenithriver floodplain ecosystem021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensinggeographychris-proba datahyperspectral brdf datageography.geographical_feature_categoryFLIGHTFlood mythrhine basinradiative-transfer modelHyperspectral imagingEnhanced vegetation index15. Life on landpointable sensorsPE&RCradiative transfer (RT) modelsugar-beetclimate-changeGeneral Earth and Planetary SciencesEnvironmental sciencehydraulic roughnesslcsh:Qflow resistanceleaf-area indexvegetation densityRemote Sensing
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ERA5-Land: A state-of-the-art global reanalysis dataset for land applications

2021

Framed within the Copernicus Climate Change Service (C3S) of the European Commission, the European Centre for Medium-Range Weather Forecasts (ECMWF) is producing an enhanced global dataset for the land component of the fifth generation of European ReAnalysis (ERA5), hereafter referred to as ERA5-Land. Once completed, the period covered will span from 1950 to the present, with continuous updates to support land monitoring applications. ERA5-Land describes the evolution of the water and energy cycles over land in a consistent manner over the production period, which, among others, could be used to analyse trends and anomalies. This is achieved through global high-resolution numerical integrat…

010504 meteorology & atmospheric sciencesLEAF-AREA0207 environmental engineering[SDU.STU]Sciences of the Universe [physics]/Earth SciencesClimate change02 engineering and technologyForcing (mathematics)SOIL-MOISTURESURFACE-TEMPERATURE01 natural sciencesLAKE PARAMETERIZATIONGE1-350Water cycle020701 environmental engineeringWEST-AFRICASATELLITENUMERICAL WEATHER PREDICTION0105 earth and related environmental sciencesQE1-996.5IN-SITUElevationGeologyOPERATIONAL IMPLEMENTATION15. Life on landNumerical weather predictionEnvironmental sciences[SDU]Sciences of the Universe [physics]13. Climate actionEarth and Environmental SciencesClimatologyTemporal resolutionSNOW MODELSGeneral Earth and Planetary SciencesEnvironmental scienceSatelliteClimate model
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