Search results for "FOREST"
showing 10 items of 3780 documents
Interesujące gatunki chrząszczy (Coleoptera) z Puszczy Piskiej
2022
W lipcu 2002 roku huragan zniszczył drzewostany na znacznym obszarze Puszczy Piskiej. Część uszkodzonego lasu – 475 ha – pozostawiono bez ingerencji (Las Ochronny „Szast”) – do naturalnej sukcesji. W latach 2005–2021 badano chrząszcze na wybranych powierzchniach pohuraganowych i kontrolnych. Do odłowów stosowano różne typy pułapek (IBL-2bis, Netocia, Moerickego). Uzupełnieniem były odłowy Coleoptera metodą „na upatrzonego” oraz analizy potencjalnego materiału lęgowego chrząszczy. W sumie w trakcie badań wykazano 1000 gatunków Coleoptera. W pracy przedstawiono dane taksonów: rzadkich, reliktów puszczańskich i wymienionych w Czerwonej Liście zwierząt ginących i zagrożonych w Polsce. Ogółem 32…
Ptiliolum marginatum (Aube, 1850) (Coleoptera: Ptiliidae)– gatunek nowy dla Polski z Białowieskiego Parku Narodowego
2021
We present the first record of Ptiliolum marginatum for Poland. The specimens have been extracted from two nests of the wood warbler Phylloscopus sibilatrix in 2020, during investigations of the invertebrate fauna inhabiting bird nests. The samples were collected in the strictly protected part of the Białowieża National Park, in eastern Poland. We provide general information on the geographical distribution of Ptiliolum marginatum in Europe, the state of knowledge of the genus Ptiliolum in Poland, and further documentation including colour photographs of dorsal and ventral habitus, and characteristic features of hind femora and spermatheca of females.
Colour segmentation based on a light reflection model to locate citrus fruits for robotic harvesting
1993
Abstract Colour segmentation with a vision system is a good procedure to identify and locate fruits in robotic harvesting. Natural illumination conditions present in these environments produce a very variable illumination of the scene, in addition, fruits are usually partially occluded, and complete visual information about them is not available. The colour segmentation used for these purposes must take into account the appearance of highlights and shadows that natural illumination conditions produce. A method based on the Dichromatic Reflection Model for the light reflected from the surface object is reported here. Through the assumption of this model the light rays reflected from points o…
Bacteria from acidic to strongly alkaline insect midguts: Potential sources of extreme cellulolytic enzymes
2012
Abstract Bacterial isolates from the European Corn Borer (ECB) Ostrinia nubilalis and the coleopteran Colorado Potato Beetle (CPB) Leptinotarsa decemlineata midguts were identified and characterized. Twenty-four colonies, selected on solid media with cellulose as the sole carbon source and pH values ranging from 5 to 12, were identified through 16S sequencing as members of the genera Acinetobacter , Comamonas , Klebsiella , Microbacterium , Micrococcus and Sphingobacterium . A complete enzymatic characterization revealed widespread – albeit moderate – cellulase properties in all but one isolate and high xylanase activity in the four CPB isolates. Different enzymatic patterns in terms of opt…
The impact of organic amendments on soil hydrology, structure and microbial respiration in semiarid lands
2016
Abstract Few studies have considered the effect of organic amendments on soil microbial activity and its contributions to hydraulic conductivity under field conditions in semiarid region soils with different textures and degrees of aggregate stability. This study was performed to investigate the relationship between selected soil properties and hydraulic conductivity in response to different types and application rates of organic amendments. For this purpose, urban municipal solid waste (MSW) compost and alfalfa residue (AR) were applied at different rates of 0 (control), 10 Mg ha− 1 and 30 Mg ha− 1 to clay loam and loamy sand soils under field conditions. Results show that after two years,…
Klum@Gtap: Introducing Biophysical Aspects of Land-Use Decisions into a General Equilibrium Model: a Coupling Experiment
2006
In this paper the global agricultural land use model KLUM is coupled to an extended version of the computable general equilibrium model (CGE) GTAP in order to consistently assess the integrated impacts of climate change on global cropland allocation and its implication for economic development. The methodology is innovative as it introduces dynamic economic land-use decisions based also on the biophysical aspects of land into a state-of-the-art CGE; it further allows the projection of resulting changes in cropland patterns on a spatially more explicit level. A convergence test and illustrative future simulations underpin the robustness and potentials of the coupled system. Reference simulat…
KLUM@GTAP: Introducing Biophysical Aspects of Land-Use Decisions into a Computable General Equilibrium Model a Coupling Experiment
2008
In this paper, the global agricultural land use model Kleines Land Use Model is coupled to an extended version of the computable general equilibrium model (CGE) Global Trade Analysis Project in order to consistently assess the integrated impacts of climate change on global cropland allocation and its implication for economic development. The methodology is innovative as it introduces dynamic economic land-use decisions based also on the biophysical aspects of land into a state-of-the-art CGE; it further allows the projection of resulting changes in cropland patterns on a spatially more explicit level. A convergence test and illustrative future simulations underpin the robustness and potenti…
Detection of developmental dyslexia with machine learning using eye movement data
2021
Dyslexia is a common neurocognitive learning disorder that can seriously hinder individuals’ aspirations if not detected and treated early. Instead of costly diagnostic assessment made by experts, in the near future dyslexia might be identified with ease by automated analysis of eye movements during reading provided by embedded eye tracking technology. However, the diagnostic machine learning methods need to be optimized first. Previous studies with machine learning have been quite successful in identifying dyslexic readers, however, using contrasting groups with large performance differences between diagnosed and good readers. A practical challenge is to identify also individuals with bord…
Multi-modality of polysomnography signals’ fusion for automatic sleep scoring
2019
Abstract Objective The study aims to develop an automatic sleep scoring method by fusing different polysomnography (PSG) signals and further to investigate PSG signals’ contribution to the scoring result. Methods Eight combinations of four modalities of PSG signals, namely electroencephalogram (EEG), electrooculogram (EOG), electromyogram (EMG), and electrocardiogram (ECG) were considered to find the optimal fusion of PSG signals. A total of 232 features, covering statistical characters, frequency characters, time-frequency characters, fractal characters, entropy characters and nonlinear characters, were derived from these PSG signals. To select the optimal features for each signal fusion, …
Modelling urban networks sustainable progress
2019
In this paper, we analyse the relations between thermodynamics and city networks: an increase in the complexity and the organized information in such urban systems leads to less demand for resources and less social entropy, which overall makes them more efficient and stable. The goal of this study is to propose a method to measuring city networks sustainable progress based on statistical models, derived from Eurostat databases and NASA satellite images, and capable of analyzing different conceptual scenarios of urban development in Europe. The obtained probability-based indices enable us to evaluate the dynamics of city networks in terms of three components of sustainable progress – economi…