Survival and Lifetime Reproductive Success in Birds

鸟类的生存和终生繁殖成功率

• 批准号: 0108373
• 负责人: Peter Blums
• 金额: $ 4万
• 依托单位: University of Missouri-Columbia
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-11-01 至 2003-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0108373&HistoricalAwards=false
• 关键词: Survival; Lifetime; Reproductive; Success; Birds

0108373BlumsThis project utilizes one of the largest datasets ever assembled for free-living birds, a dataset based on a long-term study of three migratory duck species in which young ducklings and their mothers are individually marked and then located later in life. Advanced statistical procedures will be used to assess lifetime reproductive success (LRS), the best available estimate of biological fitness in wild animals. LRS combines two key measures, the number of full-grown young produced from each breeding attempt and adult survivalrates, into a single measure of individual lifetime reproductive performance. This study is an exciting extension of a previously-funded NSF project. Results will elucidate variation in LRS and trade-offs between survival and reproductive effort. A critical part of the project is the combined application of modern survival analysis techniques with other advanced statistical procedures, providing simultaneous evaluation of the relative importance of numerous possible predictors of LRS. These findings are likely to have practical management implications for adjusting the timing, length, and bag limits for hunting seasons of harvested migratory waterfowl. Furthermore, gauging the relative impact on LRS of an individual's characteristics versus external environmental variation will greatly assist the design of successful bird conservation programs.

0108373 Blums该项目利用了有史以来为自由生活的鸟类收集的最大数据集之一，该数据集基于对三种迁徙鸭的长期研究，其中幼鸭和它们的母亲被单独标记，然后在以后的生活中被定位。先进的统计程序将用于评估终身生殖成功率（LRS），这是对野生动物生物适应性的最佳估计。LRS结合了两个关键指标，即每次繁殖尝试产生的成年幼仔数量和成年存活率，成为衡量个体一生生殖性能的单一指标。这项研究是先前资助的NSF项目的一个令人兴奋的扩展。结果将阐明LRS的变化和生存和生殖努力之间的权衡。该项目的一个关键部分是将现代生存分析技术与其他先进的统计程序相结合，同时评估许多可能的LRS预测因子的相对重要性。这些研究结果可能有实际的管理意义，调整收获的迁徙水鸟狩猎季节的时间，长度和袋的限制。 此外，测量个体特征与外部环境变化对LRS的相对影响将极大地帮助设计成功的鸟类保护计划。