Search results for "Time"

showing 10 items of 12336 documents

Cost-efficient strategies to preserve dead wood-dependent species in a managed forest landscape

2016

Negative consequences of intensive forest management on biodiversity are often mitigated by setting aside old forest, but alternative strategies have been suggested. We have compared using simulations the consequences of two of these alternatives setting aside young forests or extending rotation periods - to that of current practice in managed boreal forest In all scenarios we applied a constant conservation budget and predicted forest development and harvesting over 200 years. As a proxy for biodiversity conservation, we projected the extinction risk of a dead wood-dependent beetle, Diacanthous undulatus, in a 50 km(2) landscape in central Sweden, using a colonization-extinction model. Dur…

0106 biological sciencesconservation strategyForest managementta1172Biodiversitynuoret metsät010501 environmental sciences010603 evolutionary biology01 natural sciencesmetsätalousSet-asidevanhat metsätprolonged rotationEcology Evolution Behavior and SystematicsBudget constraint0105 earth and related environmental sciencesNature and Landscape ConservationDiscountingtime horizonEcologyAgroforestrybusiness.industryAsidediscountingForest ScienceTaigaEnvironmental resource managementympäristönsuojelu15. Life on landluonnon monimuotoisuusbiodiversiteettistrategiatGeographyHabitatforest agepopulation viabilityta1181metsänhoitobusiness
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Assessing the indirect and long-term ecological impacts of innovation in agriculture is a real challenge: the GM example

2003

All innovation in agriculture constitutes a significant and complex ecological disturbance, even if limited to a single and simple action. Indeed, whatever the nature and objective of the action, a large number of ecological processes are affected and numerous discontinuities may occur within the agro-ecosystem, in both time and space. As the GMO example illustrates, it is not sufficient to focus on direct effect of innovation, it is necessary to forecast mid- and long-term impacts of innovation with respect to the environment. Modelling phenomena appear then to be a key element to achieve this goal.

0106 biological sciencescost benefits balanceecological impactco-existencelcsh:TP670-699010603 evolutionary biology01 natural sciencesBiochemistrygene flow models[SDV.IDA]Life Sciences [q-bio]/Food engineeringGM plantsEconomicsAGRONOMIEInnovationComputingMilieux_MISCELLANEOUSSimple (philosophy)business.industryEcology04 agricultural and veterinary sciences[SDV.IDA] Life Sciences [q-bio]/Food engineeringEnvironmental economicsTerm (time)Action (philosophy)Disturbance (ecology)13. Climate actionAgriculture040103 agronomy & agriculture0401 agriculture forestry and fisherieslcsh:Oils fats and waxesElement (criminal law)businessFood Science
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Mixed company : a framework for understanding the composition and organization of mixed‐species animal groups

2020

Mixed‐species animal groups (MSGs) are widely acknowledged to increase predator avoidance and foraging efficiency, among other benefits, and thereby increase participants' fitness. Diversity in MSG composition ranges from two to 70 species of very similar or completely different phenotypes. Yet consistency in organization is also observable in that one or a few species usually have disproportionate importance for MSG formation and/or maintenance. We propose a two‐dimensional framework for understanding this diversity and consistency, concentrating on the types of interactions possible between two individuals, usually of different species. One axis represents the similarity of benefit types …

0106 biological sciencesevolution of socialityTime Factorsmutualismspecies networksForagingSpatial Behavior010603 evolutionary biology01 natural sciencesGeneral Biochemistry Genetics and Molecular BiologyBirdsMicroeconomicsinterspecific communicationEating03 medical and health sciencesMixed speciesddc:570Animalsco‐evolutionSocial informationKeystone species030304 developmental biologyMammalsMutualism (biology)0303 health sciencesBehavior AnimalFishesReptilesGroup compositionOriginal ArticlesBiodiversityFeeding BehaviorBiological EvolutionAnimal groupsPredatory BehaviorMimicrypublic informationOriginal ArticleBusinessGeneral Agricultural and Biological SciencesBehavior Observation Techniquesmimicrykeystone species
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Design and Implementation of a Smart System to Control Aromatic Herb Dehydration Process

2020

Drying is a process aimed at reducing the water content in plant materials below a limit where the activity of microbes and decomposing enzymes deteriorate the quality of medicinal and aromatic plants. Today, the interest of consumers towards medicinal and aromatic herbs has registered a growing trend. This study aims at designing a low-cost real-time monitoring and control system for the drying process of aromatic herbs and evaluating drying efficacy on the microbial community associated with the studied herbs. Hot-air drying tests of sage and laurel leaves were carried out in a dryer desiccator cabinet at 40 &deg

0106 biological sciencesfood.ingredientWater activityPlant ScienceShelf life01 natural sciencescomplex mixtures0404 agricultural biotechnologyfoodreal time monitoringsensor010608 biotechnologyoven dryingRelative humiditylcsh:Agriculture (General)Water contentMoistureSettore AGR/09 - Meccanica AgrariaHumidity04 agricultural and veterinary sciencesPulp and paper industry040401 food sciencelcsh:S1-972laurelsageHerbmicrobial loadEnvironmental scienceDesiccatorAgronomy and Crop ScienceSettore AGR/16 - Microbiologia AgrariaFood ScienceAgriculture
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Mechanisms of shrub encroachment into Northern Chihuahuan Desert grasslands and impacts of climate change investigated using a cellular automata model

2016

Arid and semiarid grasslands of southwestern North America have changed dramatically over the last 150 years as a result of woody plant encroachment. Overgrazing, reduced fire frequency, and climate change are known drivers of woody plant encroachment into grasslands. In this study, relatively sim- ple algorithms for encroachment factors (i.e., grazing, grassland fires, and seed dispersal by grazers) are proposed and implemented in the ecohydrological Cellular-Automata Tree Grass Shrub Simulator (CAT- GraSS). CATGraSS is used in a 7.3 km 2 rectangular domain located in central New Mexico along a zone of grassland to shrubland transition, where shrub encroachment is currently active. CATGraS…

0106 biological sciencesgeographyHerbivoreEcohydrologygeography.geographical_feature_category010504 meteorology & atmospheric sciencesEcologyved/biologySeed dispersalSettore ICAR/02 - Costruzioni Idrauliche E Marittime E Idrologiaved/biology.organism_classification_rank.speciesShrub encroachmentClimate change010603 evolutionary biology01 natural sciencesShrubAridGrasslandShrublandCA modelClimate changeEnvironmental scienceOvergrazing0105 earth and related environmental sciencesWater Science and TechnologyAdvances in Water Resources
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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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la prospection systématique d’un fond de rivière : l’exemple du Doubs

2020

La présentation des méthodes mises en œuvre et des résultats obtenus à l’occasion d’une opération de prospection subaquatique systématique menée sur la rivière Doubs, en amont de Verdun-sur-le-Doubs (Saône-et-Loire), illustre en grandeur réelle l’intérêt de la démarche adoptée, fondée sur des principes simples, dans la perspective d’un inventaire systématique du patrimoine fluvial immergé. La diversité des vestiges découverts et leur répartition sur la longue durée en soulignent la pertinence mais également, s’il en était encore besoin, la réalité du formidable potentiel archéologique que recèlent les cours d’eau. The presentation of the methods used and results obtained during a systematic…

0106 biological scienceslacHDarchéologie fluviale[SHS.ARCHEO]Humanities and Social Sciences/Archaeology and Prehistorycrossing pointlange ZeitFurt01 natural sciencesrömische Brückemoulin sur bateauxSchiffsmühleArchéologielong timeSOC003000ComputingMilieux_MISCELLANEOUSméthodes de prospection subaquatiqueunderwater prospection methodsFlussarchäologie[SHS.ARCHEO] Humanities and Social Sciences/Archaeology and Prehistorypont romainMethoden der UnterwasserprospektionmontagneRoman bridge010604 marine biology & hydrobiologyriver archaeologyarchéologie subaquatiquelac savoyardtemps longfloating millenvironnementArchaeology[ SHS.ARCHEO ] Humanities and Social Sciences/Archaeology and Prehistoryguérivière
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Honeybees prefer novel insect-pollinated flower shapes over bird-pollinated flower shapes

2019

AbstractPlant–pollinator interactions have a fundamental influence on flower evolution. Flower color signals are frequently tuned to the visual capabilities of important pollinators such as either bees or birds, but far less is known about whether flower shape influences the choices of pollinators. We tested European honeybee Apis mellifera preferences using novel achromatic (gray-scale) images of 12 insect-pollinated and 12 bird-pollinated native Australian flowers in Germany; thus, avoiding influences of color, odor, or prior experience. Independent bees were tested with a number of parameterized images specifically designed to assess preferences for size, shape, brightness, or the number…

0106 biological sciencesmedia_common.quotation_subjectInsectBiologybird-pollinated010603 evolutionary biology01 natural sciences[SCCO]Cognitive sciencepollinatorApis mellifera (European honeybee)PollinatorGuest Editor: David Baracchi Dipartimento di Biologia Università degli Studi di Firenze Italy0501 psychology and cognitive sciencesFloral symmetry050102 behavioral science & comparative psychologyinsect-pollinatedangiospermComputingMilieux_MISCELLANEOUSmedia_commonSpecial Column: Behavioural and Cognitive Plasticity in Foraging Pollinators[SCCO.NEUR]Cognitive science/Neuroscience[SDV.BA]Life Sciences [q-bio]/Animal biology05 social sciencesArticlesPreferenceflowerEvolutionary biologyColor preferences[SCCO.PSYC]Cognitive science/PsychologyAnimal Science and Zoology
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S-34 and N-15 labelling to model S and N flux in plants and determine the different components of N and S use efficiency

2013

International audience; In order to highlight our understanding on ecosystems functioning and resource sharing/competition, either in artificial environment or agrosystems, according to changes in the climatic conditions, it is necessary to measure accurately element fluxes within plants. Stable isotopes allow tracking safely and accurately on a short time frame the behavior of elements in plants. After a short review devoted to isotopic studies of elemental flux within plants, we explain how a direct multiple labelling study might be conducted in a plant, so as to measure over short time nitrogen and sulfur acquisition, and assimilates arising from a labelled source.

0106 biological sciencesmedia_common.quotation_subject[SDV]Life Sciences [q-bio]Allocation01 natural sciencesMeasure (mathematics)Competition (biology)RemobilizationArtificial environment03 medical and health sciencesFlux (metallurgy)Time frameLabellingNutrient use efficiency[SDV.BV]Life Sciences [q-bio]/Vegetal BiologyEcosystem030304 developmental biologymedia_common0303 health sciencesFluxStable isotope ratioIsotope13. Climate action[SDE]Environmental SciencesEnvironmental scienceBiological system010606 plant biology & botany
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Effects of environment and sowing time on growth and yield of upland cotton (Gossypium hirsutum L.) cultivars in Sicily (Italy)

2020

Cotton is one of the most important industrial crops in the world. Though widely cultivated in Sicily (Italy) in the past, cotton growth on the island has disappeared today due to a complex variety of agronomic, economic and socio-political reasons. In recent years, increased interest in natural fibers worldwide has led to a revival in cotton plants in the Mediterranean area. The aim of this paper was to assess the response of Gossypium hirsutum L. cultivars to different environments and sowing times. Elsa and Juncal were selected from the most promising cotton cultivars regarding earliness and productivity. Plants were tested with three sowing times and in two Sicilian environments. Cotton…

0106 biological sciencessowing timesGossypium hirsutumLand availabilityPlant ScienceBiology01 natural sciencesGossypium hirsutumindices of agronomic earlinessYield (wine)lcsh:Botanyseed and lint yieldsCultivar<i>Gossypium hirsutum</i>SicilyEcology Evolution Behavior and SystematicsLintsowing timeEcologyEnvironment; Gossypium hirsutum; Indices of agronomic earliness; Seed and lint yields; Sicily; Sowing timesSowing04 agricultural and veterinary sciencesindices of agronomic earlinelcsh:QK1-989Settore AGR/02 - Agronomia E Coltivazioni ErbaceeAgronomyProductivity (ecology)seed and lint yield040103 agronomy & agriculture0401 agriculture forestry and fisheriesMediterranean areaenvironment010606 plant biology & botany
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