Search results for "FOREST"

showing 10 items of 3780 documents

Monitoring elevation variations in leaf phenology of deciduous broadleaf forests from SPOT/VEGETATION time-series

2011

International audience; In mountain forest ecosystems where elevation gradients are prominent, temperature gradient-based phonological variability can be high. However, there are few studies that assess the capability of remote sensing observations to monitor ecosystem phenology along elevation gradients, despite their relevance under climate change. We investigated the potential of medium resolution remotely sensed data to monitor the elevation variations in the seasonal dynamics of a temperate deciduous broadleaf forested ecosystem. Further, we explored the impact of elevation on the onset of spring leafing. This study was based on the analysis of multi-annual time-series of VEGETATION da…

010504 meteorology & atmospheric sciences[SDV]Life Sciences [q-bio]0211 other engineering and technologiesSoil Science02 engineering and technologyLand coverSPRING PHENOLOGYPhonologyTemperate deciduous forest01 natural sciencesPLANT PHENOLOGYGLOBAL CHANGEComputers in Earth SciencesBeechVEGETATION PHENOLOGY021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingCLIMATE-CHANGEbiologyPhenologyElevationLeaf unfoldingGeologyVegetation15. Life on landbiology.organism_classificationDeciduous forestNOAA-AVHRRDeciduousMODISTemporal unmixingHIGH-LATITUDES13. Climate actionElevation[SDE]Environmental SciencesSATELLITE DATAEnvironmental scienceCommon spatial patternVEGETATIONPerpendicular vegetation indexREMOTE-SENSING DATARemote Sensing of Environment
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Simulation of nitrous oxide emissions from wheat-cropped soils using CERES

2005

Estimation of nitrous oxide (N2O) emissions from arable soils, in relation to crop fertilization, is essential to devise strategies to mitigate the impact of agriculture on global warming. This paper presents the development and test of a N2O model resulting from the linkage of a dynamic soil-crop simulation model (CERES) with two sub-models of N2O production and reduction in soils. These sub-models (NOE and NGAS) account for both the nitrification and denitrification pathways. The resulting models (CERES–NOE and CERES–NGAS) were tested against experimental data collected on three contrasting wheat-cropped soils representative of the Beauce agricultural region in France. Although the input …

010504 meteorology & atmospheric sciences[SDV]Life Sciences [q-bio]Soil ScienceSoil scienceengineering.materialCERES01 natural sciencesModellingchemistry.chemical_compound[ SDU.ENVI ] Sciences of the Universe [physics]/Continental interfaces environmentAGRONOMIE[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environmentComputingMilieux_MISCELLANEOUS0105 earth and related environmental sciences2. Zero hungerNitrous oxideGlobal warming04 agricultural and veterinary sciencesNitrous oxideCalcisol15. Life on landSoil type[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces environmentGreenhouse gaseschemistry13. Climate actionGreenhouse gasFertilizationSoil water[SDE]Environmental Sciences040103 agronomy & agricultureengineering0401 agriculture forestry and fisheriesEnvironmental scienceFertilizerArable landAgronomy and Crop Science
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Soil erosion in sloping vineyards assessed by using botanical indicators and sediment collectors in the Ruwer-Mosel valley

2016

Steep slopes, erodible soils, rill and ephemeral gullies, compaction due to wheel. traffic and human trampling are common features in vineyards around the world and result in high soil erosion rates. However, little is known about seasonal and spatial variations of soil erosion rates due to factors such as the impact of the vine plantation, harvest, and tillage on the soil redistribution over the long-term temporal scale. The goal of this study is to assess long-term soil erosion rates and the impact of management on sediment and runoff yield by means of Gerlach troughs and a topographical approach based on botanic benchmarks in two paired vineyards with different ages (3 and 35 years) loca…

010504 meteorology & atmospheric sciences[SHS.ARCHEO]Humanities and Social Sciences/Archaeology and PrehistoryVineyard01 natural sciencesVineyard[ SHS.ENVIR ] Humanities and Social Sciences/Environmental studies[ SHS.GEO ] Humanities and Social Sciences/GeographyRuwer-Mosel valleyStock unearthing methodRUSLE0105 earth and related environmental sciences2. Zero hungerHydrologyTopsoilgeographygeography.geographical_feature_categoryEcologyEcology04 agricultural and veterinary sciences[SHS.GEO]Humanities and Social Sciences/Geography15. Life on landBodemfysica en LandbeheerPE&RCRillTillageSoil Physics and Land Management[ SHS.ARCHEO ] Humanities and Social Sciences/Archaeology and Prehistory[SHS.ENVIR]Humanities and Social Sciences/Environmental studiesSoil waterGerlach trough040103 agronomy & agricultureErosionSoil erosion0401 agriculture forestry and fisheriesEnvironmental scienceAnimal Science and ZoologyGerlach trough Stock unearthing methodTramplingSurface runoffAgronomy and Crop Science
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Interpolation par régressions locales : application aux précipitations en France

2009

Interpolation by local regressions applied to precipitation in France. Two interpolation methods are presented. The global one operates by means of a regression processing applied on the complete data set and the local one consists in a regression processing applied individually to many local sets made of recording stations each. The procedure is applied to the amount of precipitation in France. The local interpolation provides better results than the global one. The contradictory effects between crest lines and plains close below which are drier are well shown by the local model. This one allows other indicators from the regressions which interpretation provides keys for understanding how …

010504 meteorology & atmospheric sciences[SHS.GEO] Humanities and Social Sciences/GeographyPRÉCIPITATIONGeography Planning and Development0211 other engineering and technologiesINTERPOLATION021107 urban & regional planningForestry02 engineering and technology[SHS.GEO]Humanities and Social Sciences/Geography01 natural sciences[ SHS.GEO ] Humanities and Social Sciences/Geography[SHS]Humanities and Social SciencesGeography13. Climate action[SHS] Humanities and Social SciencesFrance0105 earth and related environmental sciencesEarth-Surface Processes
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Methane production and oxidation potentials in relation to water table fluctuations in two boreal mires

1999

We studied the response of methane production and oxidation potentials in a minerotrophic and an ombrotrophic mire to water table fluctuations. In profiles where water table had not varied, the water-saturated layers showed significant potentials while the unsaturated layers did not. The production potentials in the saturated layers below water level ranged from 0.1 to 2.4 m gC H4 h ˇ1 (g d.w.) ˇ 1 and oxidation potentials (first order reaction rate constants) betweenˇ0.010 andˇ0.120 h ˇ1 (g d.w.) ˇ 1 . In profiles with constant water level, the maximal production potential occurred 20 cm and maximal oxidation potential 10 cm below water level. When water table varied only a little, product…

010504 meteorology & atmospheric sciencesbiologyWater tableMinerotrophicMethanogenesisEcologySoil ScienceOmbrotrophic04 agricultural and veterinary sciences15. Life on landbiology.organism_classification01 natural sciencesMicrobiologySphagnumMethaneCarbon cycleWater levelchemistry.chemical_compoundchemistryEnvironmental chemistry040103 agronomy & agriculture0401 agriculture forestry and fisheries0105 earth and related environmental sciencesSoil Biology and Biochemistry
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Predicting year of plantation with hyperspectral and lidar data

2017

This paper introduces a methodology for predicting the year of plantation (YOP) from remote sensing data. The application has important implications in forestry management and inventorying. We exploit hyperspectral and LiDAR data in combination with state-of-the-art machine learning classifiers. In particular, we present a complete processing chain to extract spectral, textural and morphological features from both sensory data. Features are then combined and fed a Gaussian Process Classifier (GPC) trained to predict YOP in a forest area in North Carolina (US). The GPC algorithm provides accurate YOP estimates, reports spatially explicit maps and associated confidence maps, and provides sens…

010504 meteorology & atmospheric sciencesbusiness.industryComputer scienceForest managementFeature extraction0211 other engineering and technologiesHyperspectral imagingPattern recognition02 engineering and technologyVegetation15. Life on land01 natural sciencessymbols.namesakeLidarsymbolsLidar dataArtificial intelligencebusinessClassifier (UML)Gaussian process021101 geological & geomatics engineering0105 earth and related environmental sciences2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
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Open source solutions to improve the quality of sustainable forest management

2019

Climate change is becoming more acute, including in terms of individual perception. Forest, as an ecosystem, has a special role to play in mitigating climate change, protecting the soil, water and air. There are forests of scientific interest, preservation of the Eco fund and forest Geno fund, as well as recreational forests, so that the ecological functions are fulfilled in the optimum. Also, alongside the social function, green energy generation is one of the main attributes of the forest. In addition to preserving biodiversity, the forestry administration has as objectives the provision of the necessary resources for the short, medium and long-term development of local communities. Fores…

010504 meteorology & atmospheric sciencesbusiness.industrymedia_common.quotation_subjectEnvironmental resource managementSustainable forest management0211 other engineering and technologies021107 urban & regional planning02 engineering and technology01 natural sciencesOpen sourcelcsh:TA1-2040Quality (business)lcsh:Engineering (General). Civil engineering (General)business0105 earth and related environmental sciencesmedia_commonMATEC Web of Conferences
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Topographic descriptors and thermal inversions amid the plateaus and mountains of the Jura (France)

2018

Sixteen temperature measurement sites under forest cover are distributed across the plateaus and mountains of the Jura (France). They are composed of pairs of stations located, one at the bottom of a topographic trough, the other at least 50 m higher in altitude. Three descriptors (station elevation, altitudinal difference (amplitude) between the two stations of each site, and topographical context) are used to explain how the frequency, intensity, and duration of inversions are spatially structured. Depending on whether one considers: 1) tn (minimum temperature) or tx (maximum temperature), 2) frequency or intensity, the sign of the correlation values changes. This reflects the fact that n…

010504 meteorology & atmospheric scienceselevation0208 environmental biotechnologyTopographie02 engineering and technology01 natural sciencesinversion[SDU.STU.CL] Sciences of the Universe [physics]/Earth Sciences/ClimatologytopographyForest coverLinear regressionJura0105 earth and related environmental sciencesMaximum temperatureInversion (meteorology)General Medicine15. Life on landGeodesy020801 environmental engineeringAmplitudetempérature sous couvert forestier13. Climate actiontemperature under forest coverMaximaGeologyaltitude
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Land set-up systems in Italy: A long tradition of soil and water conservation sewed up to a variety of pedo-climatic environments

2020

Land set-up systems in Italy were and, in a few cases, still are integral parts of agricultural landscapes. The soils of Italy mirror a wide variety of climates and morphologies and derive from a great diversity of parent materials influenced by different soil temperature and moisture regimes. Furthermore, their development was influenced by several anthropogenic activities over time including land settings. Land set-up systems have been widely used throughout the Italian soilscape to regulate surface and underground water and to improve the physical soil features in a way that ensures mixed herbaceous and tree-crops cultivation. In recent times, new technologies have been introduced in agr…

010504 meteorology & atmospheric scienceslcsh:SLand set-up systemssoil conservation04 agricultural and veterinary scienceslcsh:Plant culture01 natural sciencesVariety (cybernetics)Set (abstract data type)lcsh:AgricultureItalian cultural landscapes.Settore AGR/14 - Pedologiasoilscapes040103 agronomy & agriculture0401 agriculture forestry and fisheriesEnvironmental sciencelcsh:SB1-1110Soil conservationWater resource managementAgronomy and Crop ScienceItalian cultural landscapes land set-up systems soil conservation soilscapes0105 earth and related environmental sciences
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Economic performance and risk of farming systems specialized in perennial crops: An analysis of Italian hazelnut production

2019

Abstract Assessing farm profitability and economic risk is important to support farmers' decisions. Several factors affect yields and product prices, in turn influencing farmers' income level and economic risk. However, the literature has often neglected to explicitly account for the role of product quality. This is particularly important for crops such as hazelnut because farmers' prices vary according to the quality of the harvested product. Furthermore, it seems fundamental to disentangle the role of parameters influencing farm results, noticeably yield, product price and quality. This is because farmers select their risk management tools to satisfy their needs, but these are often suita…

010504 meteorology & atmospheric sciencesmedia_common.quotation_subjectDistribution (economics)Risk management toolsGross margin01 natural sciencesGross marginAgricultural scienceSettore AGR/01 - Economia Ed Estimo RuraleMarket priceProduction (economics)Monte Carlo analysiQuality (business)Product (category theory)Risk assessment0105 earth and related environmental sciencesmedia_commonbusiness.industrySensitivity analysis.Stochastic simulation04 agricultural and veterinary sciencesStepwise regression040103 agronomy & agriculture0401 agriculture forestry and fisheriesAnimal Science and ZoologyProfitability indexBusinessAgronomy and Crop ScienceAgricultural Systems
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