SGER: Ecological Meta-Analysis: Synthesizing the Results of Field Experiments on Competition and Predation

SGER：生态荟萃分析：综合竞争和捕食的现场实验结果

• 批准号: 9113065
• 负责人: Daniel Dykhuizen
• 金额: $ 2.6万
• 依托单位: SUNY at Stony Brook
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1991
• 资助国家: 美国
• 起止时间: 1991-06-01 至 1992-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9113065&HistoricalAwards=false
• 关键词: SGER; Ecological; Meta; Analysis; Synthesizing

This project will use meta-analysis to synthesize the results of independent ecological studies. Meta-analysis is a statistical approach that has had a profound impact on the resolution of longstanding questions in other fields, but has not previously been used in ecology. The research will extend existing meta-analysis techniques taken from the social sciences and epidemiology to analyze ecological data and to address ecological questions. Methods currently used to synthesize research results in ecology are logically, conceptually, and statistically flawed. Meta-analysis offers a sounder alternative, but the statistical models available are inadequate for many important tasks in ecology, such as examining interactions among factors. The proposed study will develop meta-analytic statistical models from ecological research (mixed models and factorial designs). These models will then be used to resolve a specific question, that of the effects of competition in the presence and in the absence of predators. Meta-analysis can potentially change the way conclusions are drawn from the outcome of experiments in ecology, and may have a major influence on the way data are collected, analyzed and interpreted in this field.

该项目将使用元分析来综合 独立生态研究的结果。 Meta分析是一种 统计方法，对 解决其他领域长期存在的问题，但没有 以前用于生态学。 研究将扩大 现有的荟萃分析技术来自社会科学 和流行病学来分析生态数据， 生态问题。 目前用于合成的方法 生态学的研究成果在逻辑上，概念上， 统计上有缺陷。 荟萃分析提供了一个更好的 替代方案，但现有的统计模型是不够的 在生态学中的许多重要任务，如检查 因素之间的相互作用。 拟议的研究将发展 来自生态研究的元分析统计模型（混合 模型和因子设计）。 这些模型将用于 解决一个具体问题，即竞争的影响 无论有没有捕食者 荟萃分析 可以潜在地改变从 生态学实验的结果，并可能产生重大影响 数据的收集、分析和解释方式， 领域