Search results for "Indicator"

showing 10 items of 997 documents

Impact of forest management on threatened epiphytic macrolichens: Evidence from a Mediterranean mixed oak forest (Italy)

2019

Abstract: Forest management practices may heavily affect epiphytic cryptogams. This study was conceived in March 2016, as soon as we were informed about an authorized logging for timber within a Mediterranean mixed oak forest in Tuscany (central Italy), which threatened a large population of the forest macrolichen Lobaria pulmonaria (L.) Hoffm., composed of hundreds of fertile thalli. Lobaria pulmonaria is often used as an ecological indicator of high quality habitats hosting rare lichens, and in general, cryptogams worthy of conservation. The species has suffered a general decline throughout Europe as a consequence of air pollution and intensive forest management, and currently it is red-l…

0106 biological sciencesForest managementLobaria pulmonaria01 natural sciencesForest ecologyLichens Flag Species Legal Protection Lobaria pulmonaria Red ListsBiomass Losslcsh:ForestryLichenRed listsNature and Landscape ConservationLobaria pulmonariaFlag specieEcologybiologyBiomass loLoggingForestryForestry04 agricultural and veterinary sciencesbiology.organism_classificationBiomass loss; Chlorophyll fluorescence; Flag species; Legal protection; Lobaria pulmonaria; Red listsEcological indicatorGeographyHabitatFlag SpeciesThreatened species040103 agronomy & agriculture0401 agriculture forestry and fisherieslcsh:SD1-669.5Legal protectionChlorophyll fluorescence010606 plant biology & botany
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Machine learning predictions of trophic status indicators and plankton dynamic in coastal lagoons

2018

Abstract Multivariate trophic indices provide an efficient way to assess and classify the eutrophication level and ecological status of a given water body, but their computation requires the availability of experimental information on many parameters, including biological data, that might not always be available. Here we show that machine learning techniques – once trained against a full data set – can be used to infer plankton biomass information from chemical and physical parameter only, so that trophic index can then be computed without using additional biological data. More specifically, we reconstruct plankton information from chemical and physical data, and this information together w…

0106 biological sciencesGeneral Decision Sciences010501 environmental sciencesMachine learningcomputer.software_genre01 natural sciencesZooplanktonPhytoplankton14. Life underwaterEcology Evolution Behavior and SystematicsComputingMilieux_MISCELLANEOUS0105 earth and related environmental sciencesTrophic levelBiological dataEcologybusiness.industry010604 marine biology & hydrobiologyPlanktonEcological indicator[SDE]Environmental SciencesEnvironmental scienceArtificial intelligenceTrixbusinessEutrophicationcomputer
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A global perspective on the climate‐driven growth synchrony of neighbouring trees

2020

2 .pdf files: File 1. Author's article final version, Post-Print (19 Pags.- 4 Figs.- 2 Tabls.). File 2. Supplementary Materials (3 Figs.- 2 Tabls.- 1 Model Equation).

0106 biological sciencesGlobal and Planetary ChangeEcologyForest dynamicsEcologytree stress indicator010604 marine biology & hydrobiologyGlobal warmingCovarianceCarbon sequestrationtree-ringglobal010603 evolutionary biology01 natural sciencesSynchronyProductivity (ecology)DendrochronologyEnvironmental sciencePhysical geographyPrecipitationTemperate rainforestEcology Evolution Behavior and Systematics
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Spatial variability of soil roughness in persimmon plantations: A new combined ISUM (improved stock unearthing method) approach

2019

Made available in DSpace on 2019-10-06T16:49:52Z (GMT). No. of bitstreams: 0 Previous issue date: 2019-11-01 Universidade Estadual Paulista Soil roughness (SR) is an ecological indicator that describes the distribution of soil surface accumulations and ponds in a terrain, which allows understanding the connectivity of the flows as they act as sinks and sources of water and sediments. There is a set of methods that allows investigating the SR, and we test the use of the improved stock unearthing method (ISUM) as an easy-to-apply and low-cost approach. The ISUM has been initially tested in vineyards using the graft union and measures in the inter-row areas to assess the current soil surface l…

0106 biological sciencesHydrologyMicrotopographic analysisEcologySoil testGeneral Decision SciencesSedimentSoil classificationTerrainAgricultural management systems010501 environmental sciences010603 evolutionary biology01 natural sciencesEcological indicatorSoil waterSoil surface analysisEnvironmental scienceSoil consolidationSpatial variabilityTransectEcology Evolution Behavior and Systematics0105 earth and related environmental sciences
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Precision, Applicability, and Economic Implications: A Comparison of Alternative Biodiversity Offset Indexes

2021

AbstractThe rates of ecosystem degradation and biodiversity loss are alarming and current conservation efforts are not sufficient to stop them. The need for new tools is urgent. One approach is biodiversity offsetting: a developer causing habitat degradation provides an improvement in biodiversity so that the lost ecological value is compensated for. Accurate and ecologically meaningful measurement of losses and estimation of gains are essential in reaching the no net loss goal or any other desired outcome of biodiversity offsetting. The chosen calculation method strongly influences biodiversity outcomes. We compare a multiplicative method, which is based on a habitat condition index develo…

0106 biological sciencesINDICATORSConservation of Natural Resourcesekologinen kompensaatioköyhtyminenBiodiversity offsettingOffset (computer science)arviointimenetelmätComputer scienceCONSERVATIONBiodiversityDIVERSITY010603 evolutionary biology01 natural sciencesOutcome (game theory)ArticleRICHNESSAdditive functionEconometricsEcosystem1172 Environmental sciencesRESTORATIONEstimationMotivationGlobal and Planetary ChangeEcology010604 marine biology & hydrobiologyMultiplicative functionkustannustehokkuusEcological compensationBiodiversity15. Life on landFINLANDluonnon monimuotoisuusPollutionBiodiversity calculation methodkompensointibiodiversiteettiECOLOGICAL EQUIVALENCEINSIGHTSHabitat destructionBiodiversity offsetting13. Climate actionPOLYPORESNo net losslaskentamallit511 EconomicsTrade ratioDEAD WOOD
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Validation of an online system for the continuous monitoring of tree water status for sustainable irrigation managements in olive (Olea europaea L.)

2016

Abstract As a result of climate change a large reduction of agricultural water through improved irrigation management is a major need for agriculture sustainability. To this aim, always more sensitive sensors to monitor plant water status have been developed in recent years. Among them, the leaf patch clamp pressure probes are very promising for water management of olive but until now have been tested only in few environmental and management conditions. In this work these sensors have been tested for two consecutive years on two completely different management systems: a traditional rainfed orchard and a super high density (SHD) drip irrigated orchard. Within the SHD orchard the probes have…

0106 biological sciencesIrrigationTurgor pressure probeSoil ScienceStem water potential01 natural sciencesSuperintensive orchardFarm waterGas exchangeWater stress indicatorIrrigation managementWater Science and TechnologyEarth-Surface ProcessesHydrologybiologybusiness.industryContinuous monitoringWater stress04 agricultural and veterinary sciencesbiology.organism_classificationSettore AGR/03 - Arboricoltura Generale E Coltivazioni ArboreeAgronomyOleaAgriculture040103 agronomy & agriculture0401 agriculture forestry and fisheriesEnvironmental scienceOrchardbusinessAgronomy and Crop Science010606 plant biology & botany
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CHANGES IN COLLEMBOLA RICHNESS AND DIVERSITY ALONG A GRADIENTOF LAND-USE INTENSITY : A pan European study

2006

Changes in Collembola richness and diversity along a land-use intensity gradient were studied in eight European countries (Portugal, Spain, France, Switzerland, Hungary, UK, Ireland and Finland). In each country a set of six 1 km2 land-use units (LUUs) were selected forming a gradient ranging from natural forest to agricultural dominated landscapes, passing through mixed-use ones. In addition to data on Collembola, detailed information regarding landscape diversity and structure was collected for each LUU. A total of 47,774 individuals were identified from 281 species. Collembola reacted not only to changes in the diversity of the landscape, but also to the composition of that diversity and…

0106 biological sciencesLand-use intensityBiodiversitySoil Science[SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil study010603 evolutionary biology01 natural sciencesland-use intensityEcology Evolution Behavior and Systematics[SDV.EE]Life Sciences [q-bio]/Ecology environmentLand useAgroforestryEcologybusiness.industryFragmentation (computing)collembola04 agricultural and veterinary sciences15. Life on landlandscape diversityLandscape diversityGeographyAgricultureland use intensitybioindicators040103 agronomy & agricultureBioindicators0401 agriculture forestry and fisheriesCollembolaAlpha diversitySpecies richnessbusinessBioindicatorGlobal biodiversity
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Multi-zone marine protected areas: Assessment of ecosystem and fisheries benefits using multiple ecosystem models

2020

12 pages, 8 figures, 3 tables, 1 appendix supplementary data https://doi.org/10.1016/j.ocecoaman.2020.105232

0106 biological sciencesMarine conservationResource (biology)010504 meteorology & atmospheric sciencesManagement Monitoring Policy and LawAquatic ScienceOceanographyRecreational fisheries01 natural sciencesEcological indicatorsRecreational fishingMarine protected areasMarine ecosystemEcosystem14. Life underwaterBaseline (configuration management)0105 earth and related environmental sciencesSmall-scale fisheries010604 marine biology & hydrobiology15. Life on landEcopath modelFisheryEcological indicatorEcological indicators Ecopath model Marine protected areas Northwestern Mediterranean sea Recreational fisheries Small-scale fisheries13. Climate action[SDE]Environmental SciencesEnvironmental scienceMarine protected areaNorthwestern Mediterranean sea[SDE.BE]Environmental Sciences/Biodiversity and Ecology
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The analysis of convergence in ecological indicators: An application to the Mediterranean fisheries

2017

9 pages, 4 figures, 3 tables

0106 biological sciencesMediterranean climateIndex (economics)[SDE.MCG]Environmental Sciences/Global ChangesFishingGeneral Decision SciencesTransition probability matrix;Sede Central IEOtMediterranean sea010603 evolutionary biology01 natural sciencesEcological indicatorsMediterranean sea[SDV.EE.ECO]Life Sciences [q-bio]/Ecology environment/EcosystemsEcosystem approach to fisheries managemenConvergence analysisMediterranean SeaEcosystemEcosystem approach to fisheries management14. Life underwaterEcology Evolution Behavior and SystematicsTrophic levelEstimationEcologybusiness.industry010604 marine biology & hydrobiologyEnvironmental resource managementTransition probability matrixFisheryEcological indicatorGeographyNon-parametric density estimation[SDV.SA.STP]Life Sciences [q-bio]/Agricultural sciences/Sciences and technics of fishery[SDE.BE]Environmental Sciences/Biodiversity and Ecologybusiness
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Evaluating the presence of microplastics in striped dolphins (Stenella coeruleoalba) stranded in the Western Mediterranean Sea.

2020

Litter is a well-known problem for marine species; however, we still know little about the extent to which they're affected by microplastics. In this study, we analyse the presence of this type of debris in Western Mediterranean striped dolphins' intestinal contents over three decades. Results indicated that frequency was high, as 90.5% of dolphins contained microplastics. Of these microplastics, 73.6% were fibres, 23.87% were fragments and 2.53% were primary pellets. In spite of the high frequency of occurrence, microplastic amount per dolphin was relatively low and highly variable (mean ± SD = 14.9 ± 22.3; 95% CI: 9.58–23.4). Through FT-IR spectrometry, we found that polyacrylamide, typic…

0106 biological sciencesMediterranean climateMicroplasticsFrequency of occurrenceMicroplasticsZoologyStenella coeruleoalba010501 environmental sciencesAquatic ScienceMarine pollutionOceanography01 natural sciencesArticleMarine pollutionMediterranean seaStenellabiology.animalSpectroscopy Fourier Transform InfraredMediterranean SeaAnimals0105 earth and related environmental sciencesIntestinal contentsbiology010604 marine biology & hydrobiologyStriped dolphinsFibresPollutionBioindicatorsBioindicatorPlasticsMarine pollution bulletin
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