Analysis of Mechanisms Causing Long-Term Variations, Patterns and Trends in Phytoplankton Dynamics and Environment in Narragansett Bay Based on a 32-Yr Time-Series

基于32年时间序列的纳拉甘西特湾浮游植物动态和环境长期变化的机制、模式和趋势分析

• 批准号: 9530200
• 负责人: Theodore Smayda
• 金额: $ 40.5万
• 依托单位: University of Rhode Island
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1996
• 资助国家: 美国
• 起止时间: 1996-06-15 至 2001-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9530200&HistoricalAwards=false
• 关键词: Analysis; Mechanisms; Causing; Long; Term

9530200 SMAYDA A 32-yr (1959-1990), process-oriented, quantitative time-series of weekly environmental and phytoplankton and zooplankton measurements in Narragansett Bay, supplemented by numerous laboratory and in situ experiments, will be analyzed. This data set appears to be the longest, quantitative time-series on plankton and environment available globally. At maximal activity, 27 variables and processes were measured weekly. This project will investigate the patterns, cycles, trends and variability in environmental conditions and their relationships to plankton population dynamics. Knowledge of interanual and interdecadal variability is central to understanding how plankton systems behave; the "baseline" against which the effects of culturally induced changes can be detected, measured, and predicted. ***

9530200 SMAYDA 一个32年（1959-1990），面向过程，定量时间序列的 每周 纳拉甘塞特湾的环境和浮游植物和浮游动物测量， 大量的实验室和现场实验，将进行分析。 这组数据似乎是浮游生物最长的定量时间序列 全球可用的环境。 在 每周测量最大活动、27个变量和过程。 这个项目将调查的模式，周期，趋势 环境条件的变化及其与浮游生物种群动态的关系。 年际和年代际变化的知识是理解浮游生物系统如何行为的核心;“基线”，可以检测，测量， 和预测。 ***