Spatially-Explict Models of Fish Growth Rate Potential: Integration of Acoustics and Ecological Modeling

鱼类生长率潜力的空间显式模型：声学和生态模型的整合

• 批准号: 9415740
• 负责人: Stephen Brandt
• 金额: $ 36万
• 依托单位: SUNY College at Buffalo
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1994
• 资助国家: 美国
• 起止时间: 1994-08-01 至 1998-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9415740&HistoricalAwards=false
• 关键词: Spatially; Explict; Models; Fish; Growth

Using Chesapeake Bay as a study site, the proposed research will evaluate how spatial/temporal heterogeneity in physical and biological habitats interact to affect predator-prey interactions, fish growth rate and system production. Fish growth rate potential is a new concept that will be incorporated into the models for the first time. The research will develop the growth rate potential mathematically, evaluate the sensitivity and spatial statistics of fish growth rate potential relative to the underlying physical and biological structure of habitat, compare properties of spatially-explicit fish growth rate among different cohorts and species with respect to predator behavior, foraging efficiency and spatial scale of observation, and develop a dynamic spatial model that allows exchange between different segments of the model. The Chesapeake Bay will be used as a study site because of the availability of an extensive database well-suited for these analyses. The research will link biology and physics within a spatially-explicit framework and has widespread application for predicting how changes in the patterning or absolute scaling of the environment might affect production dynamics of higher trophic levels.

以切萨皮克湾为研究地点，拟议的研究将评估物理和生物生境的时空异质性如何影响捕食者和猎物的相互作用、鱼类生长速度和系统生产力。鱼类生长速率潜力是一个新概念，将首次纳入模型。这项研究将从数学上推算出鱼类生长率潜力，评估鱼类生长率潜力相对于生境的基本物理和生物结构的敏感性和空间统计，比较不同群体和物种之间关于捕食者行为、觅食效率和观测空间尺度的空间显性鱼类生长率的特性，并建立一个动态空间模型，以便在模型的不同部分之间进行交流。切萨皮克湾将被用作研究地点，因为有一个非常适合这些分析的广泛数据库。这项研究将在一个空间明确的框架内将生物学和物理学联系起来，并在预测环境模式或绝对规模的变化可能如何影响较高营养水平的生产动态方面具有广泛的应用。