Search results for " Tree Species"

showing 8 items of 8 documents

Formation and Characterization of Early Bacterial Biofilms on Different Wood Typologies Applied in Dairy Production

2018

ABSTRACT The main hypothesis of this work was that Sicilian forestry resources are suitable for the production of equipment to be used in cheese making and indigenous milk lactic acid bacteria (LAB) are able to develop stable biofilms providing starter and nonstarter cultures necessary for curd fermentation and cheese ripening, respectively. Hence, the present work was carried out with deproteinized whey to evaluate LAB biofilm formation on different woods derived from tree species grown in Sicily. Microbiological and scanning electron microscopy analyses showed minimal differences in microbial levels and compositions for the neoformed biofilms. The specific investigation of Salmonella spp.…

0301 basic medicineSettore AGR/05 - Assestamento Forestale E SelvicolturaLactobacillus fermentumLactococcus030106 microbiologyColony Count MicrobialCheese ripeningApplied Microbiology and BiotechnologyBacterial AdhesionTreesMicrobiology03 medical and health sciencesCheeseLactobacillalesSalmonellaLactobacillusAnimalsFood scienceEcologybiologyLactococcus lactisBiofilmfood and beveragesStreptococcusKEYWORDS biofilm formation lactic acid bacteria technological screening tree species wooden vatsbiology.organism_classificationListeria monocytogenesWoodDairyingMilk030104 developmental biologyEnterococcusBiofilmsFermentationFood MicrobiologyBacteriaSettore AGR/16 - Microbiologia AgrariaFood ScienceBiotechnologyApplied and Environmental Microbiology
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Arbuscular mycorrhizal fungi positively affect growth of Ailanthus altissima (Mill.) Swingle seedlings and show a strong association with this invasi…

2015

Arbuscular mycorrhizal fungi (AMF) may promote plant invasion by enhancing plant performance and competitiveness. However, only a small number of studies have considered the interactions between local soil microbial communities and invasive plants, and even fewer have focused on alien trees. Ailanthus altissima is a serious problem in the Mediterranean Basin, where it has invaded many habitats. We investigated the symbiosis between A. altissima and indigenous AMF in two invaded, ecologically different Mediterranean woodlands. Mycorrhizal infection was high at both sites (> 60% of the root fragments were mycorrhizal), indicating that A. altissima roots may be infected by AMF under different …

Ailanthus altissimaSettore AGR/05 - Assestamento Forestale E SelvicolturaEcologybiologySoil biologyfungiPlant ScienceSettore BIO/19 - Microbiologia Generalebiology.organism_classificationMediterranean BasinPlant ecologyPropaguleSymbiosisSeedlingBotanyinvasive tree species mycorrhizae plant-microbes interactions seedling growth soil biotaEcology Evolution Behavior and SystematicsWoody plantThe Journal of the Torrey Botanical Society
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Assessment of Classifiers and Remote Sensing Features of Hyperspectral Imagery and Stereo-Photogrammetric Point Clouds for Recognition of Tree Specie…

2018

Recognition of tree species and geospatial information on tree species composition is essential for forest management. In this study, tree species recognition was examined using hyperspectral imagery from visible to near-infrared (VNIR) and short-wave infrared (SWIR) camera sensors in combination with a 3D photogrammetric canopy surface model based on RGB camera stereo-imagery. An arboretum with a diverse selection of 26 tree species from 14 genera was used as a test area. Aerial hyperspectral imagery and high spatial resolution photogrammetric color imagery were acquired from the test area using unmanned aerial vehicle (UAV) borne sensors. Hyperspectral imagery was processed to calibrated …

Reflectance calibration010504 meteorology & atmospheric sciencesInfraredComputer sciencegeneettiset algoritmitUAVta1171Point clouddense point cloud01 natural scienceshyperspectral imagery; tree species recognition; photogrammetry; dense point cloud; reflectance calibration; UAV; random forest; genetic algorithm; machine learningilmakuvakartoitusMachine learninggenetic algorithmImage sensorfotogrammetria0105 earth and related environmental sciencesRemote sensingta113040101 forestryta213tree species recognitionspektrikuvausSpecies diversityHyperspectral imaging04 agricultural and veterinary sciencesOtaNanoreflectance calibrationDense point cloudVNIRRandom forestTree (data structure)hyperspectral imagerykoneoppiminenPhotogrammetryGenetic algorithmHyperspectral imageryPhotogrammetryTree species recognitionlajinmääritys0401 agriculture forestry and fisheriesGeneral Earth and Planetary SciencesRGB color modelkaukokartoituspuustorandom forestRandom forestRemote Sensing; Volume 10; Issue 5; Pages: 714
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Early screening of new accumulating versus non-accumulating tree species for the phytomanagement of marginal lands

2019

International audience; The use of fast-growing trees producing a high quantity of biomass can bring significant practical and economic benefits to the reclamation of marginal lands. The present study aims to identify new shrub/tree species to offer a wider range of shrubs/trees useful for phytomanagement practices. We implemented three experimental sites in France of 1 ha each (Thann, Carrières-sous-Poissy and Leforest) contaminated by different potentially toxic elements (PTE) with a total of 38 different tree species. After two years of growth, the element concentrations in stem and leaf biomasses, tree survival rate and growth of plants were assessed. Although the three sites had elevat…

Rhizophagus irregularisEnvironmental Engineeringved/biology.organism_classification_rank.speciesGrowing seasonSalix aquatica grandis010501 environmental sciencesManagement Monitoring Policy and Law01 natural sciencesShrubNon-accumulating tree speciesPhytomanagementComputingMilieux_MISCELLANEOUS0105 earth and related environmental sciencesNature and Landscape Conservation2. Zero hunger[SDV.EE]Life Sciences [q-bio]/Ecology environmentBiomass (ecology)Trace elementsbiologyved/biology04 agricultural and veterinary sciences15. Life on landbiology.organism_classificationUlmus pumilaAlnus subcordataAgronomyOstrya carpinifolia[SDE]Environmental Sciences040103 agronomy & agriculture0401 agriculture forestry and fisheriesWoody plant
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Evolution of the lactic acid bacterial biofilms on different wood typologies applied for the production of vats intended for cheese making

2017

The present work was carried out to evaluate the lactic acid bacterial biofilms formation on wooden vat produced with seven different woods, derived from trees species grown in Sicily. The biofilm formation on the wooden surfaces was performed as reported by Gaglio et al. Microbiological and scanning electron microscopy analyses did not show differences in terms of microbial levels and composition within the neoformed biofilms (Fig.1). The specific investigation of Salmonella spp., Listeria monocytogenes, Escherichia coli and positive-coagulase staphylococci did not generate any colony for all vats before and after microbial activation. Lactic acid bacteria (LAB) populations dominated the s…

Settore AGR/05 - Assestamento Forestale E Selvicolturabiofilm formation lactic acid bacteria tree species wooden vatsSettore AGR/16 - Microbiologia Agraria
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The cork oak in the Mountains of Palermo (Italy): ecological insights from the south-eastern edge of its distribution range

2020

Abstract: The uneven presence of the cork oak (Quercus suber L.) within its distribution range is not only determined by its climatic requirements but also by specific edaphic needs. Although most of the natural populations thrive in acidic soils deriving from metamorphic or volcanic rock outcrops, some cork oak populations are found growing in soils deriving from calcareous bedrock, which are considered less suitable. We carried out a multidisciplinary investigation at the south eastern edge of the Q. suber distribution range (Mountains of Palermo, NW Sicily), including soil, floristic, and vegetation surveys, aimed at: (i) assessing the native or introduced origin of some peculiar cork oa…

Settore BIO/07 - EcologiaMediterranean climatesoil chemistrySettore AGR/05 - Assestamento Forestale E SelvicolturaRange (biology)Quercus suberCorkengineering.materialwildfiremediterranean evergreen foresttree speciesquercus suberlcsh:ForestryNature and Landscape Conservationgeographygeography.geographical_feature_categoryEcologybiologyEcologyMediterranean Evergreen Forest Soil Chemistry Vegetation Science Wildfire Landscape Tree Species Quercus suberBedrockForestryPlant communityEdaphicVegetationlandscapebiology.organism_classificationvegetation scienceSettore AGR/14 - PedologiaSettore BIO/03 - Botanica Ambientale E Applicataengineeringlcsh:SD1-669.5iForest - Biogeosciences and Forestry
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The naturalization of the almond Prunus dulcis in different ecological contexts in the Mediterranean: An underestimated process?

2022

Although Prunus dulcis has been frequently listed in non-native floras all around the world, its naturalization has been rarely studied in the field. Probably, because this species has generally invaded synanthropic habitats. We assessed the density of natural regeneration of almond, biometric parameters (height and basal stem diameter), and the distribution in life stage classes in three different ecological contexts in Sicily (Mediterranean Italy): one natural habitat (maquis), one pine afforestation and two prickly pear orchards. We recorded 236 naturally regenerating almond individuals, with density ranging from 140 individuals per hectare (prickly pear orchard 1) up to 2,400 individual…

Settore BIO/07 - EcologiaSettore AGR/05 - Assestamento Forestale E SelvicolturaEcologySettore BIO/03 - Botanica Ambientale E ApplicataArchaeophyte Mediterranean vegetation Natural regeneration Exotic tree species Seed dispersalPlant ScienceEcology Evolution Behavior and SystematicsFlora
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Region-based segmentation on depth images from a 3D reference surface for tree species recognition.

2013

International audience; The aim of the work presented in this paper is to develop a method for the automatic identification of tree species using Terrestrial Light Detection and Ranging (T-LiDAR) data. The approach that we propose analyses depth images built from 3D point clouds corresponding to a 30 cm segment of the tree trunk in order to extract characteristic shape features used for classifying the different tree species using the Random Forest classifier. We will present the method used to transform the 3D point cloud to a depth image and the region based segmentation method used to segment the depth images before shape features are computed on the segmented images. Our approach has be…

[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image ProcessingComputer science[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingFeature extractionPoint cloudComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONScale-space segmentation[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing02 engineering and technology[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Minimum spanning tree-based segmentation[STAT.AP] Statistics [stat]/Applications [stat.AP][INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing[ INFO.INFO-TI ] Computer Science [cs]/Image Processing0202 electrical engineering electronic engineering information engineeringSegmentationComputer vision[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing[STAT.AP]Statistics [stat]/Applications [stat.AP]Contextual image classificationbusiness.industry[ STAT.AP ] Statistics [stat]/Applications [stat.AP][INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]020207 software engineeringPattern recognitionImage segmentation15. Life on landdepth image segmentationRandom forestdepth images from 3D point cloudsIEEE[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV][INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]020201 artificial intelligence & image processingsingle tree species recognitionArtificial intelligenceRange segmentationbusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingForest inventory
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