The present study investigated the mite fauna and the relative abundance of mites present in foliage and litter of two adjacent and similar alfalfa fields, differing only in the number of cuttings, in Kopais Valley (Central Greece) through 2008-2010. We also examined the relationship between assemblage patterns of Mesostigmata, Oribatida and Prostigmata by comparing their population fluctuation, population density, species richness and diversity. Spatial distribution of common dominant and influent mite species was also estimated. Our results showed that both fields supported a very rich and similar mite fauna with eight new species records for alfalfa of Greece, although these species have been previously reported from other habitats in Greece. The pattern of population fluctuation in foliage was similar in both fields, unlike the fluctuation in litter. Population density significantly differed between fields, being higher in the less harvested field, except Prostigmata. Species richness in litter was higher in the less harvested field, whereas it was higher in the foliage of the more harvested field, apart from that of prostigmatic mites in litter, which was higher in the more harvested field, and that of oribatid mites in foliage, which was higher in the less harvested field. The diversity of mites was higher in the more harvested field, with the exception of prostigmatic mites. The spatial distribution of mites in foliage and litter was aggregated in both fields. Our results indicate that despite the considerable similarity of the study fields, the different harvesting frequency might have disturbed differently the mite communities hosted in foliage and litter.
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ChemSusChem
January 2025
CSIR Central Glass & Ceramic Research Institute, EMDD, 196 Raja S C Mullick Road, 700032, Kolkata, INDIA.
The advancement of photocatalytic technology for solar-driven hydrogen (H2) production remains hindered by several challenges in developing efficient photocatalysts. A key issue is the rapid recombination of charge carriers, which significantly limits the light-harvesting ability of materials like BiOCl and Cu2SnS3 quantum dots (CTS QDs), despite the faster charge mobility and quantum confinement effect, respectively. Herein, a BiOCl/CTS (BCTS) heterostructure was synthesized by loading CTS QDs onto BiOCl 2D nanosheets (NSs), that demonstrated excellent photocatalytic activity under visible light irradiation.
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Department of Neurology and Department of Anatomy and Neurobiology, University of Tennessee Health Science Center, Memphis, Tennessee, USA.
Current metabolomics technologies can measure hundreds of chemical entities in tissue extracts with good reliability. However, long-recognized requirements to halt enzyme activities during the initial moments of sample preparation are usually overlooked, allowing marked postmortem shifts in levels of labile metabolites representing diverse pathways. In brain many such changes occur in a matter of seconds.
View Article and Find Full Text PDFViruses
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Department of Veterinary Population Medicine, University of Minnesota, Saint Paul, MN 55108, USA.
Porcine reproductive and respiratory syndrome (PRRS) is an endemic disease affecting the swine industry. The disease is caused by the PRRS virus (PRRSV). Despite extensive biosecurity and control measures, the persistence and seasonality of the virus have raised questions about the virus's environmental dynamics during the fall season when the yearly epidemic onset begins and when crop harvesting and manure incorporation into the field occur.
View Article and Find Full Text PDFPlants (Basel)
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Laboratory of Precision Agriculture (LAP), Department of Biosystems Engineering, "Luiz de Queiroz" College of Agriculture (ESALQ), University of São Paulo (USP), Piracicaba 13418-900, São Paulo, Brazil.
Coffee yield exhibits plant-level variability; however, due to operational issues, especially in smaller operations, the scouting and management of coffee yields are often hindered. Thus, a cell-size approach at the field level is proposed as a simple and efficient solution to overcome these constraints. This study aimed to present the feasibility of a cell-size approach to characterize spatio-temporal coffee production based on soil and plant attributes and yield (biennial effects) and to assess strategies for enhanced soil fertilization recommendations and economic results.
View Article and Find Full Text PDFSensors (Basel)
January 2025
Department of Environmental Remote Sensing and Geoinformatics, Trier University, Universitätsring 15, 54296 Trier, Germany.
Assessing vines' vigour is essential for vineyard management and automatization of viticulture machines, including shaking adjustments of berry harvesters during grape harvest or leaf pruning applications. To address these problems, based on a standardized growth class assessment, labeled ground truth data of precisely located grapevines were predicted with specifically selected Machine Learning (ML) classifiers (Random Forest Classifier (RFC), Support Vector Machines (SVM)), utilizing multispectral UAV (Unmanned Aerial Vehicle) sensor data. The input features for ML model training comprise spectral, structural, and texture feature types generated from multispectral orthomosaics (spectral features), Digital Terrain and Surface Models (DTM/DSM- structural features), and Gray-Level Co-occurrence Matrix (GLCM) calculations (texture features).
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