Search results for " Temperate forest"

showing 4 items of 4 documents

Bias correction of dynamically downscaled precipitation to compute soil water deficit for explaining year-to-year variation of tree growth over north…

2017

This paper documents the accuracy of a post-correction method applied to precipitation regionalized by the Weather Research and Forecasting (WRF) Regional Climate Model (RCM) for improving simulated rainfall and feeding impact studies. The WRF simulation covers Burgundy (northeastern France) at a 8-km resolution and over a 20-year long period (1989–2008). Previous results show a strong deficiency of the WRF model for simulating precipitation, especially when convective processes are involved. In order to reduce such biases, a Quantile Mapping (QM) method is applied to WRF-simulated precipitation using the mesoscale atmospheric analyses system SAFRAN («Système d'Analyse Fournissant des Rense…

Atmospheric Science010504 meteorology & atmospheric sciences0208 environmental biotechnologyméthode de correction02 engineering and technologybourgogneCOMMON BEECH01 natural sciencesCiencias de la Tierra y relacionadas con el Medio AmbienteWater balanceREGIONAL CLIMATE MODELLINGGlobal and Planetary Changedéficit hydriqueForestry[SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/ClimatologyClimatologyWATER BALANCECommon beechSOIL WATER DEFICITFrance[ SDU.STU.CL ] Sciences of the Universe [physics]/Earth Sciences/ClimatologyCIENCIAS NATURALES Y EXACTASforêt tempéréeWRFMesoscale meteorology[ SDV.SA.SDS ] Life Sciences [q-bio]/Agricultural sciences/Soil study[SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil studySpatial distributionDOUGLAS-FIRmedicineREGIONAL CLIMATE-CHANGE; ERA-INTERIM REANALYSIS; POTENTIAL IMPACT; TEMPERATE FOREST; FAGUS-SYLVATICA; SEVERE DROUGHT; MODEL; RESPONSES; SYSTEM; PROJECTIONSPrecipitationmodèle climatique[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrologyclimatologie régionaleWater balanceSoil water deficit0105 earth and related environmental sciencesQuantile mappingclimatprécipitationDouglas-firQUANTILE MAPPINGnord est de la France15. Life on landSeasonalitymedicine.disease020801 environmental engineering13. Climate actionWeather Research and Forecasting ModelSoil waterEnvironmental scienceClimate modelMeteorología y Ciencias Atmosféricas[ SDU.STU.HY ] Sciences of the Universe [physics]/Earth Sciences/HydrologyAgronomy and Crop ScienceRegional climate modelling
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BioTIME: A database of biodiversity time series for the Anthropocene

2018

Abstract Motivation The BioTIME database contains raw data on species identities and abundances in ecological assemblages through time. These data enable users to calculate temporal trends in biodiversity within and amongst assemblages using a broad range of metrics. BioTIME is being developed as a community-led open-source database of biodiversity time series. Our goal is to accelerate and facilitate quantitative analysis of temporal patterns of biodiversity in the Anthropocene. Main types of variables included The database contains 8,777,413 species abundance records, from assemblages consistently sampled for a minimum of 2 years, which need not necessarily be consecutive. In addition, th…

Data Papers0106 biological sciencesRange (biology)QH301 BiologytemporalNERCBiodiversity:Matematikk og Naturvitenskap: 400::Zoologiske og botaniske fag: 480 [VDP]BIALOWIEZA NATIONAL-PARKspecialcomputer.software_genre[SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics Phylogenetics and taxonomy01 natural sciencesspecies richnessSDG 15 - Life on LandbiodiversityGlobal and Planetary ChangeB003-ecologyDatabaseEcologySampling (statistics)SIMULATED HERBIVORYsupporting technologiesLAND-BRIDGE ISLANDS[SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/BotanicsPE&RCglobal/dk/atira/pure/thematic/inbo_th_00032PRIMEVAL TEMPERATE FORESTGeographyPOPULATION TRENDS/dk/atira/pure/discipline/B000/B003biodiversity; global; special; species richness; temporal; turnoverData PaperSECONDARY FORESTEvolutionESTUARINE COASTAL LAGOON010603 evolutionary biology/dk/atira/pure/sustainabledevelopmentgoals/life_below_waterQH301[SDV.EE.ECO]Life Sciences [q-bio]/Ecology environment/EcosystemsBehavior and SystematicsAnthropocenebiodiversity; global; spatial; species richness; temporal; turnover; Global and Planetary Change; Ecology Evolution Behavior and Systematics; EcologyVDP::Mathematics and natural science: 400::Zoology and botany: 480species richne14. Life underwaterSDG 14 - Life Below WaterNE/L002531/1ZA4450Relative species abundanceEcology Evolution Behavior and SystematicsZA4450 Databases010604 marine biology & hydrobiologyturnoverRCUKBiology and Life SciencesDAS/dk/atira/pure/technological/ondersteunende_technieken15. Life on landDECIDUOUS FORESTspatialTaxonFish13. Climate actionMCPWildlife Ecology and ConservationLONG-TERM CHANGESpecies richness[SDE.BE]Environmental Sciences/Biodiversity and EcologycomputerGlobal and Planetary ChangeBIRD COMMUNITY DYNAMICSVDP::Matematikk og Naturvitenskap: 400::Zoologiske og botaniske fag: 480
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Ground-level predation on artificial caterpillars indicates no enemy-free time for lepidopteran larvae

2017

Lepidoptera is one of the most diverse orders of insects, their larvae are very abundant in many habitats, and frequent prey of various predators. To decrease predation risk, caterpillars developed several means of defence, among them timing their activity to avoid predators (seeking enemy-free time). Although the enemy-free time hypothesis is often invoked to explain caterpillar behaviour, empirical evidence for it is scarce. We tested whether such enemy-free time exists in a temperate forest by comparing predation pressure on artificial caterpillars during day and night on the ground in forest fragments in Denmark. We found a high predation rate, 23.9% d(-1), and higher predation rate at …

Settore BIO/07 - Ecologia0106 biological sciencesEcosystem serviceForagingZoologyAposematismBiology010603 evolutionary biology01 natural sciencesPredationTemperate forestMortalityCaterpillarAposematic coloration Defensive colouration Ecosystem service Foraging behaviour Mortality Sentinel prey Temperate forestEcology Evolution Behavior and SystematicsLarvaEcologyTemperate forestbiology.organism_classificationSentinel prey010602 entomologySettore AGR/11 - Entomologia Generale E ApplicataHabitatAnimal ecologyAposematic colorationDefensive colourationForaging behaviour
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Probabilistic and preferential sampling approaches offer integrated perspectives of Italian forest diversity

2023

Aim: Assessing the performances of different sampling approaches for documenting community diversity may help to identify optimal sampling efforts and strategies, and to enhance conservation and monitoring planning. Here, we used two data sets based on probabilistic and preferential sampling schemes of Italian forest vegetation to analyze the multifaceted performances of the two approaches across three major forest types at a large scale. Location: Italy. Methods: We pooled 804 probabilistic and 16,259 preferential forest plots as samples of vascular plant diversity across the country. We balanced the two data sets in terms of sizes, plot size, geographical position, and vegetation types. F…

spatially constrained rarefaction curveEcologyco-occurrence datadetrended correspondence analysisregional surveytemperate forestsvegetation databaseindicator species analysisbiodiversity co-occurrence data detrended correspondence analysis indicator species analysis regional survey spatially constrained rarefaction curve temperate forests vegetation database zonal vegetationPlant Sciencezonal vegetationbiodiversityJournal of Vegetation Science
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