首页> 外文学位 >Analysis and simulation of Skeletonema costatum (Grev.) Cleve annual abundance patterns in lower Narragansett Bay 1959 to 1996.
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Analysis and simulation of Skeletonema costatum (Grev.) Cleve annual abundance patterns in lower Narragansett Bay 1959 to 1996.

机译:纳拉甘西特湾下游1959年至1996年肋骨骨骸Cleve年度丰度模式的分析和模拟。

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A 38-year time series (1959 to 1996) of weekly observations of abundance of the marine diatom Skeletonema costatum and related plankton habitat parameters in lower Narragansett Bay, Rhode Island was analyzed. A phytoplankton growth model was then developed for investigation of Skeletonema annual abundance pattern regulating mechanisms. A ca. 45% decline in Skeletonema abundance was detected, from 2,292 cells ml−1 (prior to September 1974) to 1,263 cells ml−1 (after August 1980). Winter-spring decreases were greatest, with declines in March Skeletonema abundance from near 3,400 cells ml−1 before a 1977 change-point to mean abundance of ca. 1,000 cells ml−1 after 1977. Three types of Skeletonema annual abundance patterns (winter-spring [w-s], summer, or autumn bloom dominated) were characterized, with the frequency of w-s dominated annual cycles decreasing in the later portion of the time series.; Winter-spring Skeletonema bloom years were bright, windy and cold, with reduced Acartia hudsonica abundance in the first quarter. Summer and fall Skeletonema bloom years were dark, warm, and had calm winds and elevated A. hudsonica abundance in the first quarter. Years in which an index of winter weather pattern, the North Atlantic Oscillation Index (NAOI), was low had colder winter water temperature and w-s bloom dominated Skeletonema annual cycles. In elevated NAOI years (mainly during the 1980s and 1990s), warmer winters occurred and summer-fall blooms dominated. Linear regression models suggest that Narragansett Bay Skeletonema annual patterns are a function of both nearfield and farfield control. Initial (week 1) Skeletonema abundance, position of the Gulf Stream north wall and first quarter zooplankton abundance could differentiate between high and low abundance Skeletonema years. Initial Skeletonema abundance and the NAOI distinguished w-s from summer bloom dominated years.; The growth model simulated major features of Skeletonema annual cycles, replicating bloom timing and magnitude. Grazing (Acartia -based zooplankton was dominant) and flushing losses offset Skeletonema growth. In response to warmer winter water temperatures characteristic of the 1980s and 1990s, simulated zooplankton grazing rate and quahog grazing rate increased 25–50 percent during 1959–96. Model results implied that increased winter-spring grazing and reduced immigration were responsible for the observed Skeletonema costatum decline.
机译:分析了38年的时间序列(1959年至1996年),每周对罗得岛下纳拉甘西特湾的海洋硅藻 Skeletonema costatum 和相关的浮游生物栖息地参数进行观测。然后建立了浮游植物生长模型,以研究骨骼骨骼年度丰度模式调节机制。大约发现骨骼 丰度下降了45%,从2,292个细胞ml -1 (1974年9月之前)降至1,263个细胞ml -1 (之后1980年8月)。冬春季的减少最大,3月的<骨骼>骨骼> <3> −1 从1977年变化点之前的3,400个细胞ml减少。 1977年后为1,000个细胞ml −1 。对三种类型的 Skeletonema 年度丰度模式(冬春季[ws],夏季或秋季绽放为主)进行了表征,其频率为ws占主导地位的年周期在时间序列的后半部分减少。冬春季的“骨骼”开花期明亮,多风和寒冷,第一季度的“ car菜”的丰度降低。夏季和秋季的 开花年代是黑暗,温暖,风平和 A升高。第一季度的hudsonica 丰度。冬季天气模式指数(北大西洋涛动指数(NAOI))较低的年份,冬季水温较低,w-s绽放占主导地位的 Skeletonema 年周期。在NAOI升高的年份(主要是在1980年代和1990年代),冬季变暖,而夏秋季的花期居多。线性回归模型表明,Narragansett Bay Skeletonema 的年度模式是近场和远场控制的函数。初始(第1周)骨骼丰度,墨西哥湾北壁的位置和第一季度浮游动物的丰度可以区分高丰度和低丰度骨骼> 年。初始骨骼> skitalonema 和NAOI区分w-s与夏季开花为主的年份。生长模型模拟了 年周期的主要特征,复制了开花时间和幅度。放牧(以食蚁兽为基础的浮游动物占主导),冲刷损失抵消了食草动物骨骼的生长。为了响应1980年代和1990年代冬季水温升高的特征,在1959-96年期间,模拟的浮游动物的放牧率和准ho鱼的放牧率提高了25-50%。模型结果表明,冬春季放牧增加和移民减少是导致观察到的<骨骼>肋骨肋骨下降的原因。

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