993 resultados para 156-949A


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EXTRACT (SEE PDF FOR FULL ABSTRACT): Several snow accumulation time series derived from ice cores and extending over 3 to 5 centuries are examined for spatial and temporal climatic information. ... A significant observation is the widespread depression of net snow accumulation during the latter part of the "Little Ice Age". This initially suggests sea surface temperatures were significantly depressed during the same period. However, prior to this, the available core records indicate generally higher than average precipitation rates. This also implies that influences such as shifted storm tracks or a dustier atmosphere may have been involved. Without additional spatial data coverage, these observations should properly be studied using a coupled (global) ocean/atmosphere GCM.

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神农架位于湖北省西部,长江以北、汉水以南的广阔地带,属北亚热带向暖温带的过渡区域。本文依据该地区所处地理位置的植被分布规律等资料,绘制了1:20万的植被复原图。并在此基础上,运用ERDAS imagine 8.4和Maplnfoprofessional 6.0软件,分别对神农架地区的TM影像(5、4、3波段)进行监督分类及目视解译,同时结合野外的样方调查,绘制了神农架地区1:20万的植被类型图,并建立了相应的属性数据库。最后,根据野外的GPS定位点对制图精度进行了Kappa检验。 制图结果表明,制图区总面积3476.67 km2,共计504个斑块。据统计,林地面积2607.45 km2,森林覆盖率75%;山地灌丛及亚高山灌丛总面积358.62 km2,占总面积的10.3%:草甸面积156.84 km2,占4.51%。自然植被划分为10个植被型,46个群系,以及农田(包括居民点)和茶园两种农业土地利用类型。其中针叶、落叶阔叶混交林面积最大(6个群系),约908 km2,占总面积的26.12%;其它依次为落叶阔叶林(1 1个群系),针叶林(4个群系),常绿阔叶林(3个群系),山地灌丛(5个群系),常绿阔叶、落叶阔叶混交林(3个群系),亚高山灌丛(6个群系),草甸(4个群系)以及亚高山针叶林(3个群系)等。另外,两种农业土地利用类型面积共计430 kn12,占总面积的12.37%。 植被类型图与复原图叠加分析表明:①常绿阔叶林的理论分布区域,由常绿阔叶林,常绿、落叶阔叶混交林等7种植被型以及农田(含居民点)等土地利用类型共同组成。因处低海拔区域,人口集中,所以农田(含居民点)分布最广,所占面积最大,占到该区域面积的35.28%;加上长期的人为干扰,常绿阔叶林面积缩小至48.76 krr12,占到该区域面积的13.93%;②常绿、落叶阔叶混交林的理论分布区域内,因干扰后落叶阔叶林恢复较快,逐渐占据优势。另外,该区域海拔较低,人类活动也较频繁,农田(含居民点)面积仍有相当的比例;③针阔混交林理论分布区海拔位置高,人为活动影响少,原地带性植被保存较好,分布面积最大;其余部分为落阔林等7种植被型共同组成。④针叶林理论分布区域应是以巴山冷杉林为单优种的亚高山针叶林带,但因历史上的皆伐及火烧等原因,现面积仅有17 kfr12,占该区域的19.8%,其余则为亚高山灌丛及亚高山草甸所替代。

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The length-weight relationship and condition factor of Mylopharyngodon spiceus were determined. The result of the study showed the dependence of weight (W) on the total length (L) in the following form: W= 0.006L(super 3.156) or in the logarithmic form Log W=- 2.1851 + 3.156 Log L. Standard errors of length and weight were 0.674 cm and 3.214 g respectively. The co-efficient correlation "r" was found to be 0.972 which indicated that the relationship between length and body weight of the fish was highly significant. The t-test also indicated that the correlation between length and weight was significant. The range and mean value of condition factor (K) were 0.865 to 1.041 and 0.958 respectively.

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A value-added extruded fish product was prepared with corn flour (80%) and fish (sciaenid) powder (20%), using a twin-screw extruder. The effect of different parameters like moisture, temperature, fish powder concentration, speed of the extruder and die-diameter on expansion ratio and crisp texture were studied. The storage characteristics of the final product were studied using three different types of packaging under nitrogen flushing. The study revealed that aluminum foil is the best packaging material to keep the product acceptable for more than three months.

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In the above entitled paper (ibid., vol. 55, no. 11, pp. 3001-3011), two errors were noticed after the paper went to press. The errors are corrected here.

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The study was conducted to determine the cost, return and relative profitability of pond fish production of Mymensingh and Jessore districts. A total of 75 ponds were selected on the basis of purposive random sampling technique from 7 villages under 2 Upazila (Trishal and Gouripur) of Mymensingh districts and 8 villages under 4 Upazila (Monimmpur, Jhikorgacha, Chowgacha and Sadar) of Jessore district. It was found that per hectare per year gross cost of pond fish production in Mymensingh and Jessore were Tk 333457.75 and Tk 54327.74, while gross return were Tk 434131.16 and Tk. 96640.00 and net return were Tk 100673.41 and Tk. 42312.26, respectively. The findings of this study revealed that the pond fish production in Jessore district was more profitable than that of Mymensingh district. Cobb-Douglas production function was applied to realize the specific effect of the factors on pond fish production. Out of six variables included in the function three variables had positive impact on return from pond fish production, in Mymensingh district but five variables had positive impact on return from pond fish production in Jessore district