Distribution of. Olivella semistriata The distribution and population size of O. semistriata was investigated quantitatively on seven sandy beaches with different morphodynamics along the Pacific coast of Ecuador. Details about the sampling can be found in Chapter 1. Additional unpublished data from pilot studies were used to complete the picture. Since sampling was not always done in a similar way, these data were only treated for qualitative investigation. Quantitative data are expressed in density (ind/m2) and in abundance as individuals per meter strip transect (IST; ind/m), which is a good measure of the total populations size independent of the beach type (Defeo, 1996). To describe the beach type, the Beach index (BI) was used (McLachlan and Dorvlo, 2005). Values increase from reflective to dissipative beaches.
Distribution of. Pericopsis elata in CameroonIn Cameroon the distribution of Pericopsis elata is largely restricted to the East region of the country in the Dja, Boumba, Ngoko, and Sangha river basins (see figure 2). This main area of distribution was previously estimated approximately to 4 071 857 ha (MINEF 2004a, CENADEFOR-CTFT 1983, 1985, Vivien et Faure 1985) and represented about 19% of the national forest domain. There are also some small and isolated stains in the south (Dja et Lobo, Ntem, and Ocean divisions), Centre (Ndom division) and South west (Manfé) regions (CENADEFOR-CTFT 1983, Vivien et Faure 1985).In the east region, P. elata is largely found in three divisions including, the Boumba & Ngoko, Haut-Nyong, and Kadei. This area is largely composed of three main forest types including: the semi-deciduous forests of Sterculiaceae and Ulmaceae, mix forests (sempervirent or evergreen and deciduous) with a predominance of elements of the semi- deciduous forest, and mix forest (evergreen and semi-deciduous) with predominance of the Dja forests. Aside of these tree forest types, there are also many other forest types, which are disseminated all over the area of Pericopsis elata. They include: the swamp forests, the mono dominant forests of Gilbertiodendron dewevrei, secondary forests on former logging sites and dominated by light demand plant species such as Alstonia boonei, Macaranga spp, Musanga cecropioides, Terminalia superba, forests on rocks or inselbergs dominated with Croton mayumbensis, Oncoba crepiniaina, drained forets along rivers as sangha, Boumba, Lobéké inhabited with Uapaca heudelotii and Guibourtia demeusei, ripicol forest of Irvingia smithii, Trichilia retusa and Cathormion altissimum, and swamp forest of Raphia laurentii and Phoenix reclinata (MINEF 2004b, MINFOF 2007a).Data collected from different documents (management plans) tend to show that, the area of distribution of Pericopsis elata is more important than what was previously said by Vivien et Faure (1985). This area also covers an important part of the Kadey division, including the Bimba village in the north of Mbang (Betti 2008, Belinga 2009).But we are not in position to tell if or not, the distribution area of Assamela has increased. May be, Vivien and Faure who first drew the distribution map of Pericopsis elata inCameroon did not covered those zones during their botanical expeditions. 18
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Distribution of. II.III. of Tobacco Settlement Revenue Funds 1 TSR Funds – Non-DSH Hospitals 28 of 28 X:\CONTRACTS - 2014 -\2014-2016\MS\ITC MASTER FY 14-16 -RB.doc3 of 10 X:\ASR\MS\ASR 16-000325 INDIGENT AND TRAUMA CARE FY 16-20 RB REDLINE.DOCX «C_C0DE»-MAICS01MSKK16MAITC01MSKK20 «LC_NAME» «LC_DBA»<<HOSPITAL NAME>> 11 REFERENCED CONTRACT PROVISIONS 2017 2016 2020 22 2018 2017 33 Term: July 1, 20142016 through June 30, 2016 44 Period One means the period from July 1, 2014 Period Four means the period from 52019 Period Three means the period from 55 Period Two means the period from July 1, 2015 66 through June 30, 2015 through June 30, 2016 77 88 99 1010 111 1212 1313 1414 1515 CONTRACTOR Allocation Period: July 1, 2016 through June 30, 2017 July 1, 2017 through June 30, 2018 July 1, 2018 through June 30, 2019 July 1, 2019 through June 30, 2020 1616 1717 1818 1919 2020 2121 222 201 Master Allocation Period: July 1, 20142018 through June 30, July 1, 20152019 through June 30, 20162020 July 1, 2018 through June 30, 2019 July 1, 2019 through June 30, 2020 2016 2017 July 1, 2014 July 1, 2015 Master Allocation Period: HOSPITAL Allocation Period: through June 30, 20152017 through June 30, 20162018 2323 2424 Notices to COUNTY and HOSPITALCONTRACTOR: 2525 2626 2727 2828 2929 COUNTY: County of Orange Health Care Agency <<Hospital Name>> -4637 Contract Development and ManagementServices 405 W.West 5th Street, Suite 600 Santa Ana, CA 92701 3030 3131 3232 333 3434 3535 3636 3737 CONTRACTOR: «LC_NAME» «ADDRESS» «CITY_STATE_ZIP» «CONTACT» <<Address>> <<City, State Zip>> <<Contact Name>> <<Contact Email>> 28 of 28 X:\CONTRACTS - 2014 -\2014-2016\MS\ITC MASTER FY 14-16 -RB.doc4 of 10 11 22 33 44 55 66 77 88 99 1010 111 1212 1313 1414 1515 1616 1717 1818 1919 2020 2121 222 2323 2424 2525 2626 2727 2828 2929 3030 3131 3232 333 3434 3535 3636 3737
Distribution of. 137Cs in different grain sizesThe distribution pattern of 137Cs in the different grain sizes is shown in Figure 12. It appears the content of 137Cs in each grain size fraction for the samples have decreasing trend with decreasing grain size; from the largest (sand) fractions to the finest (clay) fractions, although the medium- sized (silt) fraction also have a relatively high 137Cs content. Ideally, a high 137Cs concentration should have been observed in soil and sediment samples with relatively high clay content, since it is well known that fine particles (such as clays) can contain high amounts of 137Cs due to their larger surface area for the adsorption of 137Cs onto the mineral grains. However, this was not so. The existence of majority of 137Cs in predominantly sand fraction in both soils (50 - 57%) and sediments (61 - 81%) may suggest its strong relation with inert particles, other than clay minerals. Figure 12: The content of 137Cs in different grain sizes in the selected sites. Site 6, 7, 10, 16A and 17 are soils while 16B and 18 are sedimentTable 6: Details of soil and sediment samples subjected to sequential extraction procedure Site #LocationSample descriptionpHOrganic matter (%)Sand (%)Silt (%)Clay (%)Water content (%)Activity (Bq/g)71.5 km south/southeast of reactor, concreteplatform next to fish factory by the seaSoil/gravel/sand, 0-5 cm7.45.085.713.50.835390 ± 2181.4 km west/northwest ofreactor, concrete ditch outside a houseBlack, fine soil from run-off6.615.383.718.104.22.1686 ± 8107.8 km west/southwest ofreactor, road into forest, near graveyardSoil in grass field, 0-6 cm4.86.494.75.30.0320.95 ± 1131.3 km south/southwest ofreactor, outside a houseSoil6.010.982.613.24.1-680 ± 216A1.4 km west/northwest of reactor, pond between forest and FDNPPSoil, 0-5 cm22.214.171.124.80.0426.154 ± 316BSurface sediment4.87.787.512.50.0236.8139 ± 50184.6 km west/southwest ofreactor, fish pondSurface sediment4.99.664.634.21.237.0232 ±45
Distribution of. Ad Valorem Taxes. All tangible taxable property located within a redevelopment district shall be assessed and taxed for ad valorem tax purposes pursuant to law in the same manner that such property would be assessed and taxed if located outside such district, and all ad valorem taxes levied on such property shall be paid to and collected by the County Treasurer in the same manner as other taxes are paid and collected. Some or all of the increment in ad valorem property taxes resulting from a redevelopment district may be apportioned by the City to a special fund for the payment of the eligible redevelopment project costs of the TIF Project, including reimbursement or the payment of principal and interest on any special obligation bonds or full faith and credit tax increment bonds issued.
Distribution of. Pericopsis elata in AfricaPericopsis elata belongs to the Fabaceae family group of species, known under its trade/pilot name as Afrormosia or Assamela. It is a tree species of the close, Guinean-Congolese forest type. Its natural range is discontinued, with several isolated sub-stands in four different areas (Vivien et Faure 1985) including: (1) East of Côte d’Ivoire – west of Ghana, (2) the west of Nigeria and Cameroon, (3) the Sangha – Ngoko basin, and (4) central basin of the Democratic Republic of Congo (DRC).
Distribution of. Syarʻu Man Qabalanā (Munadi 2017)Syarʻu Man Qabalanā is divided into two parts, (1) Every Sharia law from the previous Ummah is not mentioned in the Quran and ḥadīth. Ulama agree that this first type is clearly not included in Islamic law, and (2) Every Sharia law from the previous Ummah is mentioned in the Qur’an and Ḥadīth. This second division is classified into three, namely, (a). Nasakh according to Islamic law, excluding Islamic Sharia according to the scholars. The example of the Sharia of the prophet Musa the clothes that were exposed to unclean were not holy, except for what was cut by the unclean, (b) It is considered Islamic Sharia according to the Qur’an and Ḥadīth. This includes Islamic law according to the agreement of scholars. For example, the Sharia is fasting, and (3)There is no affirmation of the Islamic law whether it is signed or considered as Islamic law. For exampleqishas provisions. But this provision is not expressly applied to Muslims, so it may be applied if there is no prohibition and has a mass value.
Distribution of. 137Cs in different layers of soils and sedimentsResults of the analysis of the distribution of 137Cs in different layers of soils and sediments as determined in the initial stage of the bigger project of which this current study is a part are given in Figure 13. This provides an overview on the vertical migration of 137Cs in soils and sediments. The obtained results profiles show that the 137Cs has migrated a minimum of 1 cm and a maximum of 10 cm, and all the profiles show a decreasing trend from the top to the layer below. It is well known that 70–90 % of the radiocesium was retained in the fixed form in upper 5–20 cm soil layer regardless of the type of soil and nature of contamination (Gupta & Walther, 2017). Several authors have shown that a major proportion 137Cs tend to resid within the upper 10 - 15 cm of soils, and that the concentration decrease exponentially with depth (Bunzl et al., 1995; Bunzl et al., 1998; Lee et al., 1997; Schuller et al., 1997). From the results obtained in this study, the sand fraction seems to be abundant with 137Cs and this appears to vary with depth. On the basis of concentrations of 137Cs in topsoil and surface sediment, most of 137Cs is located in the 0-1 cm. A high activity of 137Cs in the 0-1 cm layer can be connected with where it was received as a result of the accident. The fact that 137Cs was also located in the 5-10 cm might be due to percolation of the particles during the postaccident period (in 2011) in response to the high annual rainfall, in addition to soils and sediments having the greatest amount of sand in relation to the other grain sizes. This observation is comparable to research conducted by Kaneko et al. (2015), whereby they found out that aggregation of particles prevented the migration in the vertical direction, since >98% of 137Cs was retained within the top ~5 cm of the soil, and considered this phenomenon as a key factor controlling the current 137Cs migration in Fukushima. According to a report by the National Council on Radiation Protection and Measurements (NCRP), some physical processes such as physical percolation of particles, soil erosion by wind or water, and weathering of particle bound material can move contaminated particles that are not specifically affected by the chemical nature of the matrix into the soil profile (NCRP, 2006). Moreover, sands are known to be relatively pervious to the flow of water due to their large particle size, while the chemical nature of many sands being ...