Search results for " Stock"

showing 10 items of 164 documents

The global forest above-ground biomass pool for 2010 estimated from high-resolution satellite observations

2021

Funding Information: We are thankful to the GlobBiomass project team and Frank Martin Seifert (ESA) for valuable suggestions and stimulating scientific discussions. We are thankful to Takeo Tadono (JAXA EORC), Masato Hayashi, (JAXA EORC), Kazufumi Kobayashi (RESTEC), Åke Rosenqvist (soloEO), and Josef Kellndorfer (EBD) for support with the use and interpretation of the ALOS PALSAR mosaics. Support by the CCI Land Cover project team, in particular Sophie Bontemps (UCL), is greatly acknowledged. The help from Martin Jung (MPI-BGC) in feature selection and Ulrich Weber (MPI-BGC) for data processing for the GSV-to-AGB conversions is greatly acknowledged. Forest inventory data for the validation…

010504 meteorology & atmospheric sciencesALOS PALSAR0211 other engineering and technologies02 engineering and technology01 natural sciencesLaboratory of Geo-information Science and Remote SensingSDG 13 - Climate ActionGE1-350BiomassEMISSIONSSDG 15 - Life on LandQE1-996.5GROWING STOCK VOLUMETaigaGeologyPE&RCPlant Production SystemsMAPbiomaCARBON-CYCLECrop and Weed EcologySynthetic aperture radarPhysical geographyRETRIEVALUNITED-STATESEarth and Planetary Sciences(all)Synthetic aperture radarSubtropicsSpatial distributionEnvironmental scienceCarbon cycletropicsTemperate climateBOREAL FORESTSMANAGEMENTLife ScienceSpatial ecologySpatial distributionLaboratorium voor Geo-informatiekunde en Remote Sensing021101 geological & geomatics engineering0105 earth and related environmental sciencesForest inventoryRadarTemperate climateEnvironmental sciencesSatelliteEarth and Environmental SciencesDENSITYPlantaardige ProductiesystemenSpatial ecologyEnvironmental scienceGeneral Earth and Planetary SciencescavelabPhysical geographyForest inventory
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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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Species’ ecological functionality alters the outcome of fish stocking success predicted by a food-web model

2018

Fish stocking is used worldwide in conservation and management, but its effects on food-web dynamics and ecosystem stability are poorly known. To better understand these effects and predict the outcomes of stocking, we used an empirically validated network model of a well-studied lake ecosystem. We simulate two stocking scenarios with two native fish species valuable for fishing. In the first scenario, we stock planktivorous fish (whitefish) larvae in the ecosystem. This leads to a 1% increase in adult whitefish biomasses and decreases the biomasses of the top predator (perch). In the second scenario, we also stock perch larvae in the ecosystem. This decreases the planktivorous whitefish an…

0106 biological sciences0301 basic medicinekalanistutus010603 evolutionary biology01 natural sciencesekosysteemit03 medical and health sciencesStockingfish stockingFish stockingEcosystem14. Life underwaterlcsh:ScienceApex predatorEcological stabilityPerchMultidisciplinaryecosystem stabilitybiologyEcologykalakannatfeeding interactionsLake ecosystemvesiekosysteemitbiology.organism_classificationfood-web dynamicsFood webekosysteemit (ekologia)030104 developmental biologyallometric trophic network modelta1181lcsh:QravintoverkotRoyal Society Open Science
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Long-term carbon stock recovery in a neotropical-logged forest

2019

AbstractThis article assesses the effect of different logging levels on loss of above-ground biomass and the contribution of different ecological groups of species in the long-term recovery of C st...

0106 biological sciencesBiomass (ecology)010504 meteorology & atmospheric sciencesAgroforestryForest managementLoggingPlant Science010603 evolutionary biology01 natural sciencesTerm (time)Ecosystem servicesClimate change mitigationEnvironmental scienceRestoration ecologyEcology Evolution Behavior and SystematicsCarbon stock0105 earth and related environmental sciencesPlant Biosystems - An International Journal Dealing with all Aspects of Plant Biology
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Combined effects of fishing and oil spills on marine fish: Role of stock demographic structure for offspring overlap with oil

2018

It has been proposed that the multiple pressures of fishing and petroleum activities impact fish stocks in synergy, as fishing-induced demographic changes in a stock may lead to increased sensitivity to detrimental effects of acute oil spills. High fishing pressure may erode the demographic structure of fish stocks, lead to less diverse spawning strategies, and more concentrated distributions of offspring in space and time. Hence an oil spill may potentially hit a larger fraction of a year-class of offspring. Such a link between demographic structure and egg distribution was recently demonstrated for the Northeast Arctic stock of Atlantic cod for years 1959–1993. We here estimate that this …

0106 biological sciencesConservation of Natural ResourcesOffspringFishingPopulationPopulation DynamicsFisheriesAquatic ScienceOceanographyFish stock010603 evolutionary biology01 natural scienceschemistry.chemical_compoundAnimalsComputer SimulationPetroleum PollutioneducationStock (geology)education.field_of_studybiologyArctic Regions010604 marine biology & hydrobiologyReproductionbiology.organism_classificationPollutionFisherychemistryArcticGadus morhuaEnvironmental sciencePetroleumAtlantic codEnvironmental Monitoring
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Assessing the added value of the recent declaration on unregulated fishing for sustainable governance of the central Arctic Ocean

2016

Accepted manuscript version. Published version available at https://doi.org/10.1016/j.marpol.2016.01.013. Accepted manuscript version, licensed CC BY-NC-ND 4.0. The ‘Declaration concerning the prevention of unregulated high seas fishing in the central Arctic Ocean’ signed by the Arctic 5 nations, limits unregulated high seas fishing in the central part of the Arctic Ocean, and holds potential social, economic and political impacts for numerous stakeholders. In this paper, the four Interim Measures in the Declaration are discussed and what value these measures bring beyond the existing international agreements is explored. It is found that even though the Declaration fills a gap in the manag…

0106 biological sciencesEconomics and EconometricsArctic five010504 meteorology & atmospheric sciencesFishingDeclarationDeclarationManagement Monitoring Policy and LawAquatic ScienceFish stock01 natural sciences[SHS]Humanities and Social SciencesUnited Nations Convention on the Law of the SeaInterimArctic Ocean14. Life underwaterVDP::Landbruks- og Fiskerifag: 900::Fiskerifag: 920Digital media0105 earth and related environmental sciencesGeneral Environmental ScienceVDP::Agriculture and fishery disciplines: 900::Fisheries science: 920business.industry010604 marine biology & hydrobiologyResource managementEnvironmental resource managementExclusive economic zoneArctic Ocean; Fishing; Resource management; Arctic five; DeclarationArcticInternational waters13. Climate actionFishing/dk/atira/pure/core/keywords/digitale_medienbusinessLaw
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Integrating fishing spatial patterns and strategies to improve high sea fisheries management

2018

Fishing activity in waters beyond national jurisdiction generates multiple management issues, such as data poor fisheries, management of straddling fish stocks and lack of impact assessments on deep-sea Vulnerable Marine Ecosystems (VMEs). Fishing strategy is the key to understanding and managing high seas fisheries, targeting highly migratory resources that are widely distributed. An international fleet, including Spanish flag bottom trawlers, operates along the Patagonian shelf in Southwest Atlantic waters, which includes an unregulated strip of continental shelf beyond national jurisdiction. The Spanish fleet’s fishing strategy was analyzed, and based on on-board observer data collected …

0106 biological sciencesEconomics and EconometricsSpecies distributionFishingManagement Monitoring Policy and LawAquatic ScienceHigh SeasFish stock010603 evolutionary biology01 natural sciencesMerlucciusMarine Spatial PlanningCentro Oceanográfico de VigoMarine ecosystemPesqueríasIllex argentinusGeneral Environmental Sciencebiology010604 marine biology & hydrobiologybiology.organism_classificationFishing strategyFisheryGeographyInternational watersVMEsSouthwest AtlanticFisheries managementLaw
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Ecosystem processes are rarely included in tactical fisheries management

2015

Fish stock productivity, and thereby sensitivity to harvesting, depends on physical (e.g. ocean climate) and biological (e.g. prey availability, competition and predation) processes in the ecosystem. The combined impacts of such ecosystem processes and fisheries have lead to stock collapses across the world. While traditional fisheries management focuses on harvest rates and stock biomass, incorporating the impacts of such ecosystem processes are one of the main pillars of the ecosystem approach to fisheries management (EAFM). Although EAFM has been formally adopted widely since the 1990s, little is currently known to what extent ecosystem drivers of fish stock productivity are actually imp…

0106 biological sciencesEcosystem healthbusiness.industry010604 marine biology & hydrobiologyEnvironmental resource managementManagement Monitoring Policy and LawAquatic ScienceOceanographyFish stock010603 evolutionary biology01 natural sciencesEcosystem valuationEcosystem-based managementEcosystem servicesEcosystem managementEcosystem14. Life underwaterFisheries managementbusinessEcology Evolution Behavior and SystematicsFish and Fisheries
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Harvest‐induced evolution and effective population size

2016

Much has been written about fishery-induced evolution (FIE) in exploited species, but relatively little attention has been paid to the consequences for one of the most important parameters in evolutionary biology-effective population size (N-e). We use a combination of simulations of Atlantic cod populations experiencing harvest, artificial manipulation of cod life tables, and analytical methods to explore how adding harvest to natural mortality affects N-e, census size (N), and the ratio N-e/N. We show that harvest-mediated reductions in N-e are due entirely to reductions in recruitment, because increasing adult mortality actually increases the N-e/N ratio. This means that proportional red…

0106 biological sciencesLIFE-HISTORYlife history evolutionFISHERIES-INDUCED EVOLUTIONpopulation genetics - empiricalPopulationpopulation genetics – empirical010603 evolutionary biology01 natural sciencesOVERLAPPING GENERATIONSAGEAnimal scienceEffective population sizeAbundance (ecology)Geneticswildlife management14. Life underwaterGenetic variabilityLife historyeducationEcology Evolution Behavior and Systematicseducation.field_of_studyCONSEQUENCESbiologyEcology010604 marine biology & hydrobiologyPopulation sizeCOMPONENTSOriginal ArticlesGENETIC COMPENSATIONbiology.organism_classificationEXPLOITED FISH STOCKSOVEREXPLOITATIONfisheries managementTEMPORAL-CHANGES1181 Ecology evolutionary biologyOriginal ArticlePreharvestcontemporary evolutionGeneral Agricultural and Biological SciencesAtlantic codEvolutionary Applications
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Identifying small pelagic Mediterranean fish schools from acoustic and environmental data using optimized artificial neural networks

2019

Abstract The Common Fisheries Policy of the European Union aims to exploit fish stocks at a level of Maximum Sustainable Yield by 2020 at the latest. At the Mediterranean level, the General Fisheries Commission for the Mediterranean (GFCM) has highlighted the importance of reversing the observed declining trend of fish stocks. In this complex context, it is important to obtain reliable biomass estimates to support scientifically sound advice for sustainable management of marine resources. This paper presents a machine learning methodology for the classification of pelagic species schools from acoustic and environmental data. In particular, the methodology was tuned for the recognition of an…

0106 biological sciencesMarine conservationMaximum sustainable yieldFish stockFish school010603 evolutionary biology01 natural sciencesAcoustic surveyEnvironmental dataAnchovymedia_common.cataloged_instanceEuropean unionEcology Evolution Behavior and Systematicsmedia_commonEcologybiologySettore INF/01 - Informaticabusiness.industry010604 marine biology & hydrobiologyApplied MathematicsEcological ModelingEnvironmental resource managementPelagic zonebiology.organism_classificationClassificationComputer Science ApplicationsGeographyComputational Theory and MathematicsFishing industryModeling and SimulationbusinessNeural networks
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