Search results for "spatial scale"

showing 4 items of 14 documents

Changes in Onset of Vegetation Growth on Svalbard, 2000–2020

2022

The global temperature is increasing, and this is affecting the vegetation phenology in many parts of the world. The most prominent changes occur at northern latitudes such as our study area, which is Svalbard, located between 76°30′N and 80°50′N. A cloud-free time series of MODIS-NDVI data was processed. The dataset was interpolated to daily data during the 2000–2020 period with a 231.65 m pixel resolution. The onset of vegetation growth was mapped with a NDVI threshold method which corresponds well with a recent Sentinel-2 NDVI-based mapping of the onset of vegetation growth, which was in turn validated by a network of in-situ phenological data from time lapse cameras. The results show th…

Spatial scalesTime seriesNDVIVDP::Zoologiske og botaniske fag: 480Onset of vegetation growthMODIS; NDVI; time series; onset of vegetation growth; trend; Arctic; Svalbard; spatial scalesSvalbardArcticMODISVDP::Matematikk og naturvitenskap: 400::Zoologiske og botaniske fag: 480TrendVDP::Mathematics and natural scienses: 400::Zoology and botany: 480General Earth and Planetary SciencesVDP::Zoology and botany: 480Remote Sensing
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Indicators of agricultural intensity and intensification: a review of the literature

2015

Since the 1960s, research has dealt with agricultural intensification (AI) as a solution to ensure global food security. Recently, sustainable intensification (SI) has increasingly been used to describe those agricultural and farming systems that ensure adequate ecosystem service provision. Studies differ in terms of the application scales and methodologies, thus we aim to summarize the main findings from the literature on how AI and SI are assessed, from the farm to global levels. Our literature review is based on 7865 papers selected from the Web of Science database and analysed using CorText software. A further selection of 105 relevant papers was used for an in-depth full-text analysis …

[SDV.SA]Life Sciences [q-bio]/Agricultural sciences010504 meteorology & atmospheric sciencesagriculture intensiveAgronomia[SDV.SA.AGRO]Life Sciences [q-bio]/Agricultural sciences/Agronomy01 natural sciencesEcosystem servicesmedia_common2. Zero hungerFood securityIntensive farmingAgriculturaEnvironmental resource managementspatial scales[SHS.GEO]Humanities and Social Sciences/Geography04 agricultural and veterinary sciencesAgroécologiesustainabilityAgricultural sciencesindicateur de rechercheéchelle spatialeGeographyLand use intensity;ecosystem services;farming systems;indicators;spatial scales;sustainabilitymedia_common.quotation_subjectlcsh:Plant cultureEconomiaécosystèmelcsh:AgricultureLand use intensitysustainability.[SDV.EE.ECO]Life Sciences [q-bio]/Ecology environment/Ecosystemssystème agricolelcsh:SB1-1110farming systemsAgricultural productivity0105 earth and related environmental sciencesétat de l'artbusiness.industrylcsh:S[SDV.SA.AEP]Life Sciences [q-bio]/Agricultural sciences/Agriculture economy and politics15. Life on land[SDE.ES]Environmental Sciences/Environmental and SocietyindicatorsAgricultureSustainability040103 agronomy & agriculturedéveloppement agricole durable0401 agriculture forestry and fisherieslittératureMonocultureecosystem servicesbusinessAgronomy and Crop ScienceSciences agricolesDiversity (politics)Italian Journal of Agronomy
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Designing ‘trait-based null model’ approaches to investigate community assembly mechanisms

2014

SPEEAECOLDURGEAPSIéquipe CAPA; During the last decade, many studies have addressed the signature of community assembly processes by assessing the deviation of a functional diversity pattern from that expected in null communities, using a randomization algorithm. The basic principle has been to compare the functional structure of a ‘local community’ with a set of randomly generated communities from a ‘regional species pool’. Specifically, it allows assessing the extent to which species constituting a community are functionally more or less similar than expected under the assumption of a random assembly, thus revealing the influence of assembly processes such as competition or environmental a…

[SDV] Life Sciences [q-bio]spatial scalefuntional diversityrandom community assembly[ SDV ] Life Sciences [q-bio]competitive dominance[SDV]Life Sciences [q-bio]null modellimiting similarityenvironmental filteringspecies pool
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Predictive models in assessment of macroinvertebrates in boreal rivers

2009

Jukka Aroviita tutki väitöskirjassaan jokien ja purojen biologisen tilan mittaamismenetelmiä. Aroviita osoitti, että ihmistoiminnan aiheuttamat biologiset muutokset voivat jäädä havaitsematta, jos eliöyhteisöjen luonnollista taustavaihtelua ei oteta kunnolla huomioon.- Tällöin vesistöjen saatetaan arvioida olevan paremmassa kunnossa kuin ne todellisuudessa ovatkaan. Muutosten tunnistamistarkkuuden tulisi olla mahdollisimman hyvä, sillä tila-arvioilla on myös juridisesti määräytyviä yhteiskunnallisia ja taloudellisia seuraamuksia, Aroviita toteaa. Vielä 1990-luvulla järvien ja jokien tilaa arvioitiin suurelta osin ihmisen näkökulmasta ja veden kemian perusteella. Nykylainsäädäntö edellyttää …

spatial scalebioassessmentpohjaeläimistöRIVPACSbiotic qualitytaxonomic completenessvirtavedetvertailuololähestymistapaennustavat mallitmacroinvertebratestypologystreamstypologiat
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