Search results for "FOREST"

showing 10 items of 3780 documents

Forest bioenergy harvesting changes carbon balance and risks biodiversity in boreal forest landscapes

2020

Climate solutions relying on forest bioenergy may be in conflict with carbon sequestration and storage by forests as well as conservation of biodiversity. We quantified effects of forest-residue harvesting for bioenergy on both forest carbon balance and biodiversity in a boreal forest landscape. Through a modeling framework, we simulated forest development in four real watersheds with three scenarios: (i) with and (ii) without forest-residue harvesting and (iii) set aside to study the conservation potential of these landscapes in the future without management. We simulated changes in the forest carbon stocks and in the quality and quantity of deadwood resources for 100 years and combined t…

0106 biological scienceshakkuutähteet010504 meteorology & atmospheric sciencesBiodiversityCarbon sequestration010603 evolutionary biology01 natural sciencesclimate change mitigationhabitat requirementsBioenergylahopuutbiodiversity0105 earth and related environmental sciencesdeadwoodGlobal and Planetary ChangeEcologyAgroforestryTaigaForestryhiilensidontailmastonmuutoksetbiodiversiteettilogging residuesbioenergiametsäenergiaEnvironmental scienceCanadian Journal of Forest Research
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Vegetation structure and greenness in Central Africa from Modis multi-temporal data.

2013

African forests within the Congo Basin are generally mapped at regional scale as broad-leaved evergreen forests, with a main distinction between terra-firme and swamp forests types. At the same time, commercial forest inventories, as well as national maps, have highlighted a strong spatial heterogeneity of forest types. A detailed vegetation map generated using consistent methods is needed to inform decision makers about spatial forest organisation and theirs relationships with environmental drivers in the context of global change. We propose a multi-temporal remotely sensed data approach to characterize vegetation types using vegetation index annual profiles. The classifications identified…

0106 biological scienceshttp://aims.fao.org/aos/agrovoc/c_28568Time Factors010504 meteorology & atmospheric sciencesDatabases FactualRainEcological Parameter Monitoringhttp://aims.fao.org/aos/agrovoc/c_900018001 natural sciencesTrees[ SDE ] Environmental Sciencesremote sensinghttp://aims.fao.org/aos/agrovoc/c_3062K01 - Foresterie - Considérations généralesDynamique des populationsForêt tropicale humidehttp://aims.fao.org/aos/agrovoc/c_6498http://aims.fao.org/aos/agrovoc/c_29008geography.geographical_feature_categoryCentral AfricaEcologyInventaire forestierVegetationArticlesClassificationSpatial heterogeneity[ SDE.MCG ] Environmental Sciences/Global ChangesDeciduoushttp://aims.fao.org/aos/agrovoc/c_7976CongoP31 - Levés et cartographie des solsForêt[SDE]Environmental SciencesSeasonshttp://aims.fao.org/aos/agrovoc/c_1432General Agricultural and Biological Scienceshttp://aims.fao.org/aos/agrovoc/c_34911Research ArticleF40 - Écologie végétaleTélédétectionClimate Change[SDE.MCG]Environmental Sciences/Global ChangesSpectroscopie infrarougeContext (language use)69Typologie010603 evolutionary biologySwampGeneral Biochemistry Genetics and Molecular BiologyCarbon Cycle[ SDU.ENVI ] Sciences of the Universe [physics]/Continental interfaces environmentHumansAfrica Centralhttp://aims.fao.org/aos/agrovoc/c_1666http://aims.fao.org/aos/agrovoc/c_1344http://aims.fao.org/aos/agrovoc/c_8176[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environmenthttp://aims.fao.org/aos/agrovoc/c_6111Ecosystem0105 earth and related environmental sciencesChangement climatiquegeographyCartographiehttp://aims.fao.org/aos/agrovoc/c_24174Enhanced vegetation index15. Life on landEvergreenVégétationStructure du peuplement13. Climate actionCouvert forestierPhysical geographyU30 - Méthodes de recherchehttp://aims.fao.org/aos/agrovoc/c_1653tropical rainforestTropical rainforest
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GeneSys-Beet: A model of the effects of cropping systems on gene flow between sugar beet and weed beet

2008

A weedy form of the genus Beta, i.e. Beta vulgaris ssp. vulgaris (hence ''weed beet'') frequently found in sugar beet is impossible to eliminate with herbicides because of its genetic proximity to the crop. It is presumed to be the progeny of accidental hybrids between sugar beet (ssp. vulgaris) and wild beet (ssp. maritima), or of sugar beet varieties sensitive to vernalization and sown early in years with late cold spells. In this context, genetically modified (GM) sugar beet varieties tolerant to non-selective herbicides would be interesting to manage weed beet. However, because of the proximity of the weed to the crop, it is highly probable that the herbicide-tolerance transgene would b…

0106 biological scienceshttp://aims.fao.org/aos/agrovoc/c_890PopulationSoil ScienceContext (language use)H60 - Mauvaises herbes et désherbageFlux de gènesGenetically modified01 natural sciencesF30 - Génétique et amélioration des planteshttp://aims.fao.org/aos/agrovoc/c_9000024Crophttp://aims.fao.org/aos/agrovoc/c_37331http://aims.fao.org/aos/agrovoc/c_34285[SDV.BV]Life Sciences [q-bio]/Vegetal Biologyhttp://aims.fao.org/aos/agrovoc/c_2018Cropping systemeducation2. Zero hungereducation.field_of_studybiologyU10 - Informatique mathématiques et statistiquesModélisation des culturesfungifood and beverages04 agricultural and veterinary sciences15. Life on landbiology.organism_classificationWeed controlGene flowTillagePratique culturalehttp://aims.fao.org/aos/agrovoc/c_8347AgronomyOrganisme génétiquement modifié040103 agronomy & agriculture0401 agriculture forestry and fisheriesSugar beetBeta vulgarisWeedAgronomy and Crop ScienceMauvaise herbeModelCropping system010606 plant biology & botanyField Crops Research
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Effect of Selenium Enrichment and Type of Application on Yield, Functional Quality and Mineral Composition of Curly Endive Grown in a Hydroponic Syst…

2019

Selenium (Se) is an essential element for humans&rsquo

0106 biological sciencesinorganic chemicalsFertigationSettore AGR/13 - Chimica Agrariachemistry.chemical_elementSettore AGR/04 - Orticoltura E FloricolturaMineral compositionsoilless culture01 natural sciencesSelenatelcsh:Agriculturebiofortificationchemistry.chemical_compound<i>Cichorium endivia</i>Dry weightYield (wine)lcsh:Sfood and beverages04 agricultural and veterinary sciencesAscorbic acidHydroponicsCichorium endiviaHorticulturenutritionchemistry040103 agronomy & agriculture0401 agriculture forestry and fisheriesascorbic acidAgronomy and Crop ScienceSelenium010606 plant biology & botanyAgronomy
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Effect of Molybdenum Rate on Yield and Quality of Lettuce, Escarole, and Curly Endive Grown in a Floating System

2018

Molybdenum (Mo) is required in enzymes involved in a number of different metabolic processes, and is crucial for the survival of plants and animals. The influence of nutrient solutions containing four levels of molybdenum (0, 0.5, 1.5, and 3.0 &micro

0106 biological sciencesinorganic chemicalsvitamin CSettore AGR/04 - Orticoltura E Floricoltura01 natural scienceslcsh:Agriculturechemistry.chemical_compoundHuman fertilizationNutrientmolybdenumNitratenitrateleafy vegetablesHydroponicChemistryCrop yieldLeafy vegetablelcsh:Shydroponics04 agricultural and veterinary sciencesAscorbic acidHydroponicsHorticultureenzymes and coenzymes (carbohydrates)Plant morphology040103 agronomy & agriculture0401 agriculture forestry and fisheriesbacteriaPlant nutritionAgronomy and Crop Science010606 plant biology & botanyAgronomy
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Spatiotemporal Dispersal and Deposition of Fish Farm Wastes: A Model Study from Central Norway

2017

Abstract A spatially explicit coupled hydrodynamic-mass transport model system was used to simulate dispersal of particulate organic matter from Atlantic salmon (Salmo salar) farming in central Norway. Model setups of 32 m horizontal resolution were run for periods of up to 650 days for 3 sites of different oceanographic characteristics: one fjord location, one medium-exposed location influenced by fjord water and one coastal location. Records on feed used for each cage at each location were converted to feces released based on a published mass balance model. The results from the simulations were compared with scores from corresponding mandatory benthic surveys (MOM-B) of the sediment layer…

0106 biological scienceslcsh:QH1-199.5environmental effectsOcean EngineeringFjordlcsh:General. Including nature conservation geographical distributionAquatic ScienceOceanography01 natural sciencesDeposition (geology)SettlingMarine ScienceOrganic matterSalmolcsh:ScienceWater Science and Technologychemistry.chemical_classificationHydrologyGlobal and Planetary Changegeographygeography.geographical_feature_categorybiologyaquaculture effects010604 marine biology & hydrobiologySediment04 agricultural and veterinary sciencesbiology.organism_classificationFisheryfish farm wasteschemistryBenthic zonehydrodynamic modeling040102 fisheries0401 agriculture forestry and fisheriesBiological dispersalEnvironmental sciencelcsh:Qdepositional modelaquaculture dispersal model
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A multi-site study to classify semi-natural grassland types

2009

International audience; Calibration and validation of simulation models describing herbage growth or feed quality of seminatural grasslands is a complex task for agronomists without investing effort into botanical surveys. To facilitate such modelling efforts, a limited number of grassland types were identified using a functional classification of species. These grassland types were characterized by three descriptors required to model herbage growth or feed quality: the abundance-weighted mean leaf dry matter content across grass species, the relative abundance of grasses, and an estimate of species richness. We conducted a multi-site analysis over 749 grasslands from eight temperate region…

0106 biological sciencesleaf traitsRestricted maximum likelihoodManagement type01 natural sciencesGrasslandnitrogenland-use changeNutrientSemi-natural grasslandphosphorus2. Zero hunger[SDV.EE]Life Sciences [q-bio]/Ecology environmentgeography.geographical_feature_categoryEcology04 agricultural and veterinary sciencesVegetationClassification[ SDE.MCG ] Environmental Sciences/Global ChangesFunctional traitsplant-species richnessgrowth[SDE.MCG]Environmental Sciences/Global Changespermanent pastures[SDV.BID]Life Sciences [q-bio]/Biodiversity010603 evolutionary biologyEllenberg indicator values[ SDV.EE ] Life Sciences [q-bio]/Ecology environmentdiversity[SDV.EE.ECO]Life Sciences [q-bio]/Ecology environment/EcosystemsTemperate climateRelative species abundance[ SDV.BID ] Life Sciences [q-bio]/Biodiversitygeography[ SDE.BE ] Environmental Sciences/Biodiversity and EcologySimulation modelingNutrients15. Life on land[SDE.ES]Environmental Sciences/Environmental and Society[ SDV.EE.ECO ] Life Sciences [q-bio]/Ecology environment/EcosystemsAgronomy040103 agronomy & agricultureresponses0401 agriculture forestry and fisheriesEnvironmental scienceAnimal Science and ZoologySpecies richness[SDE.BE]Environmental Sciences/Biodiversity and EcologyAgronomy and Crop Science[ SDE.ES ] Environmental Sciences/Environmental and SocietySpecies richness
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Influence of plant traits, soil microbial properties, and abiotic parameters on nitrogen turnover of grassland ecosystems

2016

International audience; Although it is known that multiple interactions among plant functional traits, microbial properties , and abiotic soil parameters influence the nutrient turnover, the relative contribution of each of these groups of variables is poorly understood. We manipulated grassland plant functional composition and soil nitrogen (N) availability in a multisite mesocosm experiment to quantify their relative effects on soil N turnover. Overall, root traits, arbuscular mycorrhizal colonization, denitrification potential, as well as N availability and water availability, best explained the variation in measured ecosystem properties, especially the trade-off between nutrient sequest…

0106 biological sciencesleaf traitsSoil biology[SDV]Life Sciences [q-bio]ammonia‐oxidizing archaea and bacteriawater availability010603 evolutionary biology01 natural sciencescomplex mixtures[ SDV.EE ] Life Sciences [q-bio]/Ecology environmentMesocosmnitrite reducersNutrientlcsh:QH540-549.5Ammonia-oxidizing Archaea And Bacteria ; Arbuscular Mycorrhizal Colonization ; Ecosystem Properties ; Grasslands ; Leaf Traits ; Nitrite Oxidizers ; Nitrite Reducers ; Nutrient Availability ; Root Traits ; Water AvailabilityEcosystemEcology Evolution Behavior and Systematics2. Zero hungerAbiotic component[SDV.EE]Life Sciences [q-bio]/Ecology environment[ SDE.BE ] Environmental Sciences/Biodiversity and Ecology[ SDV ] Life Sciences [q-bio]EcologyEcologySoil organic mattergrasslandsfood and beverages04 agricultural and veterinary sciences15. Life on landnitrite oxidizersammonia-oxidizing archaea and bacteriaroot traitsAgronomySoil water040103 agronomy & agriculturearbuscular mycorrhizal colonization0401 agriculture forestry and fisheriesEnvironmental scienceecosystem propertieslcsh:Ecologynutrient availabilityammonia-oxidizing archaea and bacteria;arbuscular mycorrhizal colonization;ecosystem properties;grasslands;leaf traits;nitrite oxidizers;nitrite reducers;nutrient availability;root traits;water availabilitySoil fertility[SDE.BE]Environmental Sciences/Biodiversity and Ecology
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Early response ofQuercus roburseedlings to soil compaction following germination

2018

Logging operations using heavy machinery effect changes in soil characteristics due to compaction; such conditions can negatively influence seedling development. In stands managed on the basis of close-to-nature silviculture or continuous cover forestry, successful establishment of natural regeneration after logging is important to ensure the proper functioning of a forest ecosystem, to promote soil recovery, and to prevent and mitigate land degradation processes (such as soil erosion, mudflow, waterlogging, and landslides) related to soil compaction and rutting. This work aimed to assess the early response of Quercus robur seedlings to soil compaction during the first 1.5 months after germ…

0106 biological scienceslogging operationSoil ScienceRoot systemDevelopment01 natural sciencesseedling growthQuercus roburAlluvial soilsEnvironmental Chemistrypedunculate oakSettore AGR/06 - Tecnologia Del Legno E Utilizzazioni ForestaliSilvicultureGeneral Environmental Sciencebiology04 agricultural and veterinary sciencesbiology.organism_classificationHorticulturePlant developmentGerminationregenerationSoil compaction040103 agronomy & agriculture0401 agriculture forestry and fisheriesEnvironmental scienceroot system010606 plant biology & botanyWaterlogging (agriculture)Land Degradation &amp; Development
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Weed and Weeding Effects on Medicinal Herbs

2017

Competition with weeds exerts significant depressive effects on yield and quality features of Medicinal Plants (MPs). According to the crop, the part of plant to be harvested, the environmental features (including cropping technique) and the severity of infestation, yield losses due to the presence of weeds may vary within wide intervals. Furthermore, unlike the majority of other crops, MPs are cultivated with the goal to obtain relevant quantities of specific secondary metabolites, whose final quantity determines the quality level (and, consequently, the market value) of the harvested drug. Almost all papers addressed to this topic agree on the statement that unrestricted weed growth may a…

0106 biological sciencesmedia_common.quotation_subjectBiologymedicine.disease_cause01 natural sciencesCompetition (biology)ToxicologyCropparasitic diseasesInfestationGrazingmedicinemedia_commonBiomass (ecology)fungicompetition yields essential oil (EO) weeding management critical period for weed control (CPWD) relative losses (RL)food and beverages04 agricultural and veterinary sciencesSettore AGR/02 - Agronomia E Coltivazioni ErbaceeHorticulture040103 agronomy & agriculture0401 agriculture forestry and fisheriesWeedMulchCropping010606 plant biology & botany
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