Fish bioenergetics modelling to estimate the required carrying capacity of a system

鱼类生物能量学建模来估计系统所需的承载能力

• 批准号: RGPIN-2021-02847
• 负责人: Deslauriers, David
• 金额: $ 2.04万
• 依托单位: Université du Québec à Rimouski
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2021
• 资助国家: 加拿大
• 起止时间: 2021-01-01 至 2022-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=742245
• 关键词: Fish; bioenergetics; modelling; estimate; required

Fish mortalities often occur when environmental conditions are unfavourable and prevent fish from adapting, giving them little choice but to seek more favourable conditions or perish. Understanding and predicting how fish respond to environmental conditions is thus more important than ever, particularly in the context of climate change. Much of these environmental conditions affect an individual's physiology and behaviour, which in turn have repercussions at the population level. However, in most cases, eco-physiological information on the species of interest is lacking and needs to be developed. The physiological response of individuals can be described through the development of bioenergetics models, which balance the energy requirements for growth and reproduction with the energy that is gathered through consumption. Bioenergetics models are also regulated by the size of the organism and the environmental conditions, such as temperature, that are encountered. My research program integrates organismal physiological responses to inform current and future energy requirements of fishes under dynamic environmental conditions in order to understand the energetic needs of a population. I propose to use a unique combination of laboratory, field, and modelling experiments to develop parameters that will be used in the development of ecologically-, biogically-, and physiologically-relevant simulations of fish growth under dynamic or altered environments. This work will provide powerful insight into the significant impacts fish can have on their environment, and how the environment conditions can shape energetic responses at the population level.

当环境条件不利并阻碍鱼类适应时，鱼类常常会死亡，它们别无选择，只能寻求更有利的条件，否则就会灭亡。因此，了解和预测鱼类对环境条件的反应比以往任何时候都更加重要，特别是在气候变化的背景下。这些环境条件大部分都会影响个人的生理和行为，进而对人群产生影响。然而，在大多数情况下，缺乏有关感兴趣物种的生态生理信息，需要开发。个体的生理反应可以通过生物能量学模型的发展来描述，该模型平衡生长和繁殖的能量需求与通过消耗收集的能量。生物能学模型还受到生物体大小和遇到的环境条件（例如温度）的调节。我的研究项目整合了生物体的生理反应，以了解动态环境条件下鱼类当前和未来的能量需求，从而了解种群的能量需求。我建议使用实验室、现场和建模实验的独特组合来开发参数，这些参数将用于开发动态或改变环境下鱼类生长的生态、生物和生理相关模拟。这项工作将为鱼类对其环境产生的重大影响以及环境条件如何在种群水平上形成积极反应提供深入的见解。