0000000000174397

AUTHOR

Alessandro Chiarucci

showing 11 related works from this author

The invasion history of Elodea canadensis and E. nuttallii (Hydrocharitaceae) in Italy from herbarium accessions, field records and historical litera…

2022

AbstractWe analysed the invasion history of two North American macrophytes (Elodea canadensis and E. nuttallii) in Italy, through an accurate census of all available herbarium and field records, dating between 1850 and 2019, and a rich literature collection describing the initial introduction and naturalisation phase that supports the results obtained by the occurrence records. Elodea canadensis arrived in Italy before 1866 and had two invasion phases, between the 1890s and 1920s and between the 1990s and 2000s; E. nuttallii, probably arrived in the 1970s, started invading in 2000 and the invasion is still ongoing. Botanical gardens and fish farming played a crucial role in dispersal and na…

EcologySettore BIO/02 - Botanica SistematicaHerbarium sampleInvasive specieaquatic alien speciesfloristic recordsherbarium samplesHistorical recordinvasive speciesMacrophytesAquatic alien species Invasive species Freshwater Herbarium samples Floristic records Historical records MacrophytesFreshwateraquatic alien species; invasive species; freshwater; herbarium samples; floristic records; historical records; macrophyteshistorical recordsFloristic recordEcology Evolution Behavior and SystematicsSettore BIO/03 - Botanica Ambientale e ApplicataAquatic alien specie
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Benchmarking plant diversity of Palaearctic grasslands and other open habitats

2021

© 2021 The Authors.

Vascular plantSURROGATE333.7: Landflächen NaturerholungsgebieteBiomeLichenopen habitatPlant ScienceDATABASESBenchmarkGrasslandScale dependencebenchmarkRICHNESS HOTSPOTSVegetation typeTaxonomic rankSCALEMacroecologyComputingMilieux_MISCELLANEOUS2. Zero hungerbryophyteGLOBAL PATTERNSgeography.geographical_feature_categoryEcologyEcologyOpen habitatvascular plantForestryichenVegetationGrasslandVegetation plotPalaearctic580: Pflanzen (Botanik)GeographyHabitatscale dependencebenchmark; bryophyte; fine-grain biodiversity; grassland; GrassPlot Diversity Explorer; lichen; open habitat; Palaearctic; scale dependence; species–area relationship; vascular plant; vegetation plotLife Sciences & Biomedicinevegetation plotGrassPlot Diversity ExplorerCONSERVATIONEnvironmental Sciences & EcologylichenFine-grain biodiversitybenchmarkbenchmark bryophyte fine-grain biodiversity grassland GrassPlot Diversity Explorer lichen open habitat Palaearctic scale dependence species–area relationship vascular plant vegetation plotspecies-area relationship580benchmark bryophyte fine-grain biodiversity grassland GrassPlot Diversity Explorer lichen open habitat Palaearctic scale dependence species-area relationship vascular plant vegetation plotSpecies–area relationshipScience & Technologyfine-grain biodiversityPlant SciencesBiology and Life Sciences15. Life on landplant diversity13. Climate actionBryophyteSPECIES-AREA RELATIONSHIPSVASCULAR PLANTSBIODIVERSITYSpecies richness[SDE.BE]Environmental Sciences/Biodiversity and EcologygrasslandBRYOPHYTES
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Species–area relationship and small-island effect of vascular plant diversity in a young volcanic archipelago

2021

International audience; Aims: Aeolian islands form an active volcanic archipelago. By using updated vascular plant checklists for islands and islets, we tested four hypotheses: (i) Island speciesarea relationship (ISAR) of alien species has lower c-and higher z-values than native species, (ii) islands with active volcanoes have lower species richness than expected for native and alien species, (iii) ISAR of native species shows lower c-and higher z-values than ISARs of Mediterranean land bridge archipelagos and (iv) species richness of smaller islets is independent of area.Location: Aeolian Archipelago, Mediterranean Basin.Taxon: Vascular plants, identified and named according to the Flora …

0106 biological sciencesMediterranean climateVascular plant010504 meteorology & atmospheric sciencesInsular biogeographymedia_common.quotation_subjectBiodiversitybiodiversity island biogeography Mediterranean species richness species–area relationships vascular floraMediterranean010603 evolutionary biology01 natural sciences14. Life underwaterspecies– area relationshipsspecies richnespecies richnessEcology Evolution Behavior and Systematicsspecies–area relationship0105 earth and related environmental sciencesmedia_commonbiodiversityvascular florageographygeography.geographical_feature_categoryEcologybiologyisland biogeographyEcology15. Life on landbiology.organism_classificationVolcanoArchipelago[SDE]Environmental SciencesSettore BIO/03 - Botanica Ambientale E ApplicataSpecies richnessgeographic locationsDiversity (politics)
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Fine‐grain beta diversity of Palaearctic grassland vegetation

2021

QUESTIONS: Which environmental factors influence fine-grain beta diversity of vegetation and do they vary among taxonomic groups? LOCATION: Palaearctic biogeographic realm. METHODS: We extracted 4,654 nested-plot series with at least four different grain sizes between 0.0001 m² and 1,024 m² from the GrassPlot database, covering a wide range of different grassland and other open habitat types. We derived extensive environmental and structural information for these series. For each series and four taxonomic groups (vascular plants, bryophytes, lichens, all), we calculated the slope parameter (z-value) of the power law species–area relationship (SAR), as a beta diversity measure. We tested whe…

0106 biological sciencesCzechAgriculture and Food SciencesFine grainelevation333.7: Landflächen NaturerholungsgebietehabitatPlant ScienceMaster planFine-grain beta diversity01 natural sciencesScale dependenceevolutionaryRICHNESSvascular plantsHABITATMacroecologyComputingMilieux_MISCELLANEOUSmedia_commonMean occupancyProductivity2. Zero hungerdisturbance0303 health sciencesEcologySettore BIO/02 - Botanica SistematicaEnvironmental researchPalaearctic grasslanddifferentiationenvironmental heterogeneityspecies-area relationship (SAR)gradientDIFFERENTIATION580: Pflanzen (Botanik)disturbance; elevation; fine-grain beta diversity; heterogeneity; land use; macroecology; mean occupancy; Palaearctic grassland; productivity; scale dependence; species–area relationship (SAR); z-valuescale dependencelanguagemacroecologyproductivitymedia_common.quotation_subjectmean occupancyLibrary scienceSpecies–area relationship (SAR)Environmental drivers Grasslands Lichens Mosses Species-area relationship SAR Vascular Plands010603 evolutionary biologySpecies-area curve03 medical and health sciencesspecies–area relationship (SAR)ExcellencePolitical scienceGRADIENTSlovak030304 developmental biologyspatial scalefine-grain beta diversityBiology and Life Sciencesland useDisturbance15. Life on landZ-valuelanguage.human_languageENVIRONMENTAL HETEROGENEITYEarth and Environmental Sciencesz-valueElevationLand useEVOLUTIONARYSPATIAL SCALESPECIES-AREA RELATIONSHIPSVASCULAR PLANTS[SDE.BE]Environmental Sciences/Biodiversity and EcologyheterogeneityHeterogeneityrichness
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Habitat type and island identity as drivers of community assembly in an archipelago

2020

Aim: Ecoinformatics offer new opportunity to test islands as biogeographic and eco- logical models. In this paper we predicted three hypotheses: (1) plot-based data issu- ing from vegetation surveys can be used to predict Island Species-Area Relationships (ISARs) or island similarity; (2) the habitat area is an independent predictor of species richness patterns within island; (3) species richness and composition are more de- pendent on habitat type than island identity in land-bridge islands. Area: Tuscan Archipelago, Italy. Methods: We assembled a database of all the vegetation plots available for the archi- pelago. For the first hypothesis we calculated ISARs, using Arrhenius model, and B…

geographygeography.geographical_feature_categoryEcologybiogeographic patterns islands plot data species-area relationshipsIdentity (social science)islandsPlant Sciencespecies-area relationshipsbiogeographic patternsType (biology)HabitatislandSettore BIO/03 - Botanica Ambientale E ApplicataArchipelagobiogeographic patternEthnologyplot data
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Implementation of IUCN criteria for the definition of the Red List of Ecosystems in Italy

2020

The present work is aimed at presenting the data, methods and criteria that are being used for the assessment of ecosystem collapse risk in Italy.

0106 biological sciences010504 meteorology & atmospheric sciencesCollapse (topology)Plant SciencePotential natural vegetationpotential natural vegetation010603 evolutionary biology01 natural sciencesmapping and assessment ecosystems and their servicesIUCN Red ListEcosystemecoregionsmapping and assessment ecosystems and their serviceBiodiversity conservation strategieEcology Evolution Behavior and Systematics0105 earth and related environmental sciencesthreatsbiodiversity conservation strategiesbusiness.industryEnvironmental resource managementecosystem risk assessmentbiodiversity conservation strategies; ecoregions; ecosystem risk assessment; mapping and assessment ecosystems and their services; potential natural vegetation; threatsGeographyWork (electrical)businessecoregionPlant Biosystems - An International Journal Dealing with all Aspects of Plant Biology
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VegItaly: The Italian collaborative project for a national vegetation database

2012

Abstract Two years after its official start, the national vegetation database VegItaly, a collaborative project supported by the Italian scientific community and developed by a large group of scientists, is presented. This article offers a concise overview of the content of the database, currently consisting of 31,100 vegetation plot, including published and unpublished data. Some basic statistics are analysed; for example, data distribution in space and time, represented vegetation types expressed as physiognomic categories. Although rather young and still in progress, VegItaly already contains data from all the Italian regions and stands as an optimal candidate for the development of an I…

phytosociologyDistribution (economics)relevéPlant ScienceBiodiversity informaticscomputer.software_genrePlot (graphics)Vegetation typesBiodiversity informatics; database; phytosociology; relevé; vegetation plotmedicinedatabaseEcology Evolution Behavior and SystematicsDatabasebusiness.industrybiodiversity informatics; database; phytosociology; relevé; vegetation-plotbiodiversity informatics; database; phytosociology; releve; relevé; vegetation plot; vegetation-plotGeographyBiodiversity informatics database phytosociology releve´ vegetation plotSettore BIO/03 - Botanica Ambientale E ApplicataBiodiversity informaticmedicine.symptombiodiversity informaticsvegetation-plotLarge groupbusinessVegetation (pathology)computervegetation plot
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Species–area relationships in continuous vegetation: Evidence from Palaearctic grasslands

2019

Aim Species-area relationships (SARs) are fundamental scaling laws in ecology although their shape is still disputed. At larger areas, power laws best represent SARs. Yet, it remains unclear whether SARs follow other shapes at finer spatial grains in continuous vegetation. We asked which function describes SARs best at small grains and explored how sampling methodology or the environment influence SAR shape. Location Palaearctic grasslands and other non-forested habitats. Taxa Vascular plants, bryophytes and lichens. Methods We used the GrassPlot database, containing standardized vegetation-plot data from vascular plants, bryophytes and lichens spanning a wide range of grassland types throu…

curvesshapesspecies– area relationship (SAR)Michaelis–Menten functionBiomeGrasslandVegetation typelogarithmic functionTaxonomic rankLichenNested‐plot Samplinggeography.geographical_feature_categorypower lawEcologyVDP::Landbruks- og Fiskerifag: 900biologyEcologySettore BIO/02 - Botanica SistematicaPalaearctic grasslandspecies-area relationship (SAR)Grasslandddc:nonlinear regressionscale dependenceMichaelis–Menten Functionlogarithmic function; Michaelis–Menten function; minimal area; nested-plot sampling; nonlinear regression; Palaearctic grassland; plant biodiversity; power law; scaling law; species–area relationship (SAR)environmentnested‐plot sampling570Evolutionscaling lawSpecies-area relationshipminimal areadiversityspecies–area relationship (SAR)Behavior and Systematicsspecies- area relationship (SAR)ddc:570577: Ökologienested-plot samplingEcology Evolution Behavior and Systematics580geographymodelfungiBiology and Life Sciences500Species diversityPlant communitySpecies–area Relationship (SAR)Earth and Environmental SciencesMichaelis-Menten functionplant biodiversitySpecies richnessrichness
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Global endemics-area relationships of vascular plants

2019

Endemics–Area Relationships (EARs)are fundamental in theoretical and applied biogeography for understanding distribution patterns and promoting biodiversity conservation. However, calculating EARs for vascular plant species from existing data is problematic because of biased knowledge of endemic species distributions and differences between taxonomies. We aimed to overcome these challenges by developing a new standardized global dataset based on expert knowledge to produce a set of global EARs. We developed a nested circle design, with grain sizes of 10 4 , 10 5 , 10 6 , 10 7 , and 10 8 km 2 , respectively, and a global distribution of plots based on a stratified random scheme. The number …

0106 biological sciencesVascular plantZero-endemic plotslcsh:QH1-199.5Range (biology)Biogeographylcsh:General. Including nature conservation geographical distributionManagement Monitoring Policy and Law010603 evolutionary biology01 natural sciencesMinimum and maximum estimatelcsh:QH540-549.5StatisticsEndemismZero-endemic plotNature and Landscape ConservationEstimationbiologyEcology010604 marine biology & hydrobiologySampling (statistics)Minimum and maximum estimatesbiology.organism_classificationGeographyGlobal referenceExpert knowledgelcsh:EcologySpecies richnessScale (map)Distribution of land and sea
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Shrines in Central Italy conserve plant diversity and large trees

2015

Sacred natural sites (SNS) are instances of biocultural landscapes protected for spiritual motives. These sites frequently host important biological values in areas of Asia and Africa, where traditional resource management is still upheld by local communities. In contrast, the biodiversity value of SNS has hardly been quantitatively tested in Western contexts, where customs and traditions have relatively lost importance due to modernization and secularization. To assess whether SNS in Western contexts retain value for biodiversity, we studied plant species composition at 30 SNS in Central Italy and compared them with a paired set of similar but not sacred reference sites. We demonstrate tha…

0106 biological sciencesConservation of Natural Resources010504 meteorology & atmospheric sciencesSecularismmedia_common.quotation_subjectGeography Planning and DevelopmentCultureBiodiversityBiologyModernization theory010603 evolutionary biology01 natural sciencesTrees10127 Institute of Evolutionary Biology and Environmental Studies3305 Geography Planning and DevelopmentReportEnvironmental ChemistryResource managementSocial ChangePlant Dispersal0105 earth and related environmental sciencesmedia_commongeographygeography.geographical_feature_categoryCentral ItalyEcologyEcologyPlant DispersalGeneral MedicineBiodiversityOld-growth forestSpatial heterogeneityBiocultural conservationTraditional managementItaly2304 Environmental ChemistrySettore BIO/03 - Botanica Ambientale E ApplicataSacred natural site570 Life sciences; biology590 Animals (Zoology)Species richnessOld-growth forest2303 EcologyDiversity (politics)
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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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