Temporal Variations in Molecular Records of Sea Surface Temperatures & Plankton Productivity: Assessment of High Resolution Signals in Sediment Trap Particulates, etc.

海面分子记录的时间变化 温度浮游生物生产力：高 沉积物捕集器颗粒等的分辨率信号 这项研究是为了确定烯酮的时间变异性 生产中使用的烯酮不饱和指数（UK37） 海表温度（SST）变化的评估。 目前正在对从 8月期间每隔2周在加州湾 1990年至1993年2月。 这些样本提供了一个测试 UK37通过多种营养物和浮游生物的波动 生产力循环（包括Emiliania huxleyi的盛花期） 年平均气温约为15 ℃，直接 将分子温度值与测量的SST进行比较。 因此，在本发明中， 拟议的研究将测试UK37的准确性，如定义为 太平洋沃茨的正常海洋条件，在多个季节 振荡和通过广泛的温度范围。 的 调查还评估了海洋生物的分子记录， 浮游生物生物量及其多样性通过多个季节 自行车. 观察到的生物学浓度曲线 特定的化合物将与独立的浮游生物进行比较 从同时进行的微体古生物学研究中获得的计数 其他研究者的相同样本。 因此，分子趋势将 作为浮游生物数量随时间变化的信号进行测试 动力学 这些分析将增强分子信号的分析， 沉积物记录中的环境和气候变化。

Temporal Variations of Molecular Records of Sea Surface Temperatures & Plankton Productivity: Assessment of High Resolution signals in Sediment Trap particulates, etc. This research is determining the temporal variability in alkenone production and in the alkenone unsaturation index (UK37) used in the evaluation of sea surface temperature (SST) variations. Analyses are being done on sediment trap materials collected in the Gulf of California at 2 week intervals during the period August 1990 to February 1993. The samples provide an opportunity to test fluctuations in UK37 through multiple nutrient and plankton productivity cycles (including bloom periods of Emiliania huxleyi) over an annual temperature range of ca. 15 Degree C and to directly compare the molecular temperature values with measured SST. Thus, the proposed study will test the veracity of UK37, as defined for normal marine conditions in Pacific waters, over multiple seasonal oscillations and through a broad temperature range. The investigation is also evaluating the molecular record of marine plankton biomass and their diversity through multiple seasonal cycles. The concentration profiles observed for biologically specific compounds will be compared with independent plankton counts obtained from concurrent micropaleontological studies on the same samples by other investigators. Thus, molecular trends will be tested as signals of temporal variability in plankton population dynamics. The analyses will enhance the of molecular signals of environmental and climatic change in the sediment record.//