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冷静分析形势 强化问题导向 积极探索深化浙江气象改革 总被引:1,自引:0,他引:1
正气象事业是党的事业的重要组成部分。在党和国家全面深化改革的新形势下,全面深化气象改革,以改革的精神全面推进气象现代化,努力提升气象保障服务能力、激发气象创新活力、扩大气象工作影响力,更好发挥气象在浙江经济社会发展中的职能和作用,是时代赋予浙江气象人的责任和使命。1准确把握形势,增强深化气象改革的责任感正确认清形势,是深化气象改革的基础和前提。党的十八届三中全会提出了完善和发展 相似文献
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The seasonal variations in phytoplankton community structure were investigated for the Sanggou Bay (SGB) and the adjacent Ailian Bay (ALB) and Lidao Bay (LDB) in Shandong Peninsula,eastern China.The species composition and cell abundance of phytoplankton in the bay waters in spring (April 2011),summer (August 2011),autumn (October 2011),and winter (January 2012) were examined using the Uterm6hl method.A total of 80 taxa of phytoplankton that belong to 39 genera of 3 phyla were identified.These included 64 species of 30 genera in the Phylum Bacillariophyta,13 species of 8 genera in the Phylum Dinophyta,and 3 species of 1 genus in the Phylum Chrysophyta.During the four seasons,the number of phytoplankton species (43) was the highest in spring,followed by summer and autumn (40),and the lowest number ofphytoplankton species (35) was found in winter.Diatoms,especially Paralia sulcata (Ehrenberg) Cleve and Coscinodiscus oculus-iridis Ehrenberg,were predominant in the phytoplankton community throughout the study period,whereas the dominance of dinoflagellate appeared in summer only.The maximum cell abundance of phytoplankton was detected in summer (average 8.08 × 103 cells L-1) whereas their minimum abundance was found in autumn (average 2.60 x 103 cellsL-1).The phytoplankton abundance was generally higher in the outer bay than in the inner bay in spring and autumn.In summer,the phytoplankton cells were mainly concentrated in the south of inner SGB,with peak abundance observed along the western coast.In winter,the distribution of phytoplankton cells showed 3 patches,with peak abundance along the western coast as well.On seasonal average,the Shannon-Wiener diversity indices of phytoplankton community ranged from 1.17 to 1.78 (autumn 〉 summer 〉 spring 〉 winter),and the Pielou's evenness indices of phytoplankton ranged from 0.45 to 0.65 (autumn 〉 spring 〉 summer〉 winter).According to the results of canonical correspondence analysis,phosphate level w 相似文献
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Are there some relationships among species diversity and soil chemical properties of high altitude natural grasslands? Plant community composition and chemical properties of soil samples were compared to investigate the relationship between soil and species diversity, and the richness in Tibetan alpine grasslands. Results showed that species diversity was significantly positively related to soil organic matter (SOM), total nitrogen (TN), available nitrogen (AN), total phosphorus (TP), available phosphorus (AP), and available potassium (AK) in the high alpine grasslands. Margalefs species richness index was also significantly positively related to SOM, TN, AN, and TP. Most soil chemical properties showed significantly positive correlation with species diversity and Margalef's richness index. Our results suggested that higher plant species richness index and diversity occurred in more fertile soil habitats in high altitude natural grassland community. In practice, fertilization management for the restoration of degraded grassland should be conducted with reference to the nutrient levels ofnatural grassland without the additional artificial fertilizer and with higher species-diversity and richness index. 相似文献
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Shou-zhang Peng Chuan-yan Zhao Xiao-ping Wang Zhong-lin Xu Xing-ming Liu Hu Hao Shi-fei Yang 《山地科学学报》2014,11(4):896-905
Daily meteorological data are the critical inputs for distributed hydrological and ecological models. This study modified mountain microclimate simulation model (MTCLIM) with the data from 19 weather stations, and compared and validated two methods (the MTCLIM and the modified MTCLIM) in the Qilian Mountains of Northwest China to estimate daily temperature (i.e., maximum temperature, minimum temperature) and precipitation at six weather stations from i January 2000 to 31December 2009. The algorithm of temperature in modified MTCLIM was improved by constructing the daily linear regression relationship between temperature and elevation, aspect and location information. There are two steps to modify the MTCLIM to predict daily precipitation: firstly, the linear regression relationship was built between annual average precipitation and elevation, location, and vegetation index; secondly, the distance weight for measuring the contribution of each weather station on target point was improved by average wind direction during the rainy season. Several regression analysis and goodness-of-fit indices (i.e., Pearson's correlation coefficient, coefficient of determination, mean absolute error, root-mean-square error and modelingefficiency) were used to validate these estimated values. The result showed that the modified MTCLIM had a better performance than the MTCLIM. Therefore, the modified MTCLIM was used to map daily meteorological data in the study area from 2000 to 2009. These results were validated using weather stations with short time data and the predicted accuracy was acceptable. The meteorological data mapped could become inputs for distributed hydrological and ecological models applied in the Qilian Mountains. 相似文献