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Seasonal Effect of Geomorphological Chronosequence Features on Soil Biota Dynamics

Pedosphere 2010年第6期20卷 761-770页

作者： S.PEn-MOURATOV n.GEnZER n.shukurov J.PLAKHT Y.STEInBERGER The Mina & Everard Goodman Faculty of Life Sciences Bar-Ilan University Institute of Geology and Geophysics Academy of Sciences Ramon Science Center Jacob Blaustein Institute for Desert ResearchBen-Gurion University of the Negev

numerous studies have been devoted to the physical-chemical weathering processes leading to the creation of unique soil formations having their own history that induce soil-biotic ***,the extent to which unique geomorphic formations influence soil biotic seasonal variation is not *** aim was to define seasonal variations of soil biota in soils of different-aged terraces of the Makhtesh Ramon anticline erosional cirque in southern *** strong effect of Makhtesh Ramon (Ramon crater) erosional fluvial terrace age initiated by climatic changes during the Late Pleistocene- Early Holocene period on seasonal variations in both soil properties and the abundance and composition of soil biota were ***,age dependence was not constant and values for observed soil properties and microbial activity were negligible between younger and older terraces for certain seasons,while free-living nematodes along with bacterial-feeding group were strongly dependent on the geomorphic features of the ages throughout the study period.

关键词：土壤生物多样性地貌特征季节性动态特征生物群年限季节变化土壤性质

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Performance of GPS slant total electron content and IRI-Plas-STEC for days with ionospheric disturbance

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Geodesy and Geodynamics 2016年第1期7卷 1-10页

作者： Feza Arikan Seymur shukurov Hakan Tuna Orhan Arikan T.L. Gulyaeva Department of Electrical and Electronics Engineering Hacettepe University Beytepe Ankara 06800 Turkey Department of Electrical and Electronics Engineering Bilkent Uniuersity Bilkent Ankara 06800 Turkey IZMIRAn Moscow 142190 Troitsk Russian Federation

Total Electron Content （TEC） is an important observable parameter of the ionosphere which forms the main source of error for space based navigation and positioning systems. Since the deployment of Global navigation Satellite Systems （GnSS）, cost-effective esti- mation of TEC between the earth based receiver and Global Positioning System （GPS） sat- ellites became the major means of investigation of local and regional disturbance for earthquake precursor and augmentation system studies. International Reference Iono- sphere （IRI） extended to plasmasphere （IRI-Plas） is the most developed ionospheric and plasmaspheric climatic model that provides hourly, monthly median of electron density distribution globally. Recently, IOnOLAB group {***） has presented a new online space weather service that can compute slant TEC （STEC） on a desired ray path for a given date and time using IRI-Plas model （IRI-Plas-STEC）. In this study, the performance of the model based STEC is compared with GPS-STEC computed according to the estimation method developed by the IOnOLAB group and includes the receiver bias as IOnOLAB-BIAS （IOnOLAB-STEC）. Using Symmetric Kullback-Leibler Distance （SKLD）, Cross Correlation （CC） coefficient and the metric norm （L2n） to compare IRI-Plas-STEC and IOnOLAB-STEC for the month of October 2011 over the Turkish national Permanent GPS network （TnPGn- Active）, it has been observed that SKLD provides a good indicator of disturbance for both earthquakes and geomagnetic storms.

关键词： IonosphereTotal Electron Content (TEC)GPSIRI-Plas

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