Parameterisation of bivalve functional traits for mechanistic eco-physiological dynamic energy budget (DEB) models
Parameterisation of bivalve functional traits for mechanistic eco-physiological dynamic energy budget (DEB) models
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机械生态生理动态能量预算（DEB）模型双壳类功能性状的参数化
DOI：
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发表时间：
2013
期刊：
影响因子：
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通讯作者：
J. Widdows
中科院分区：
文献类型：
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作者：
G. Sarà;V. Palmeri;V. Montalto;A. Rinaldi;J. Widdows
基于动态能量预算（DEB）理论的机械模型是新兴的生态力学工具，通过生物能量原理解释的生命史特征的变化来研究生物体的适应性程度。人们对这种方法的兴趣迅速增长，源于 DEB 的机械特性，该特性基于许多规定生物体质量和能量流使用的规则。 DEB 应用中的一个明显瓶颈来自于基于数学和统计方法（协变方法）的 DEB 参数估计。参数化过程始于从文献或实验室实验中确定的目标生物体的一些功能特征的知识（例如胚胎、性成熟和最终体型、摄食和同化率、维持成本）。然而，考虑到机械方法在生态学中的突出作用，减少可能的不确定性是一个重要的目标。我们建议重新评估生态研究中常用的实验室程序，以估计海洋双壳类动物的 DEB 参数。我们的实验生物是法老臂尾蛇（Brachidontes pharaonis）。我们通过验证活动来支持我们的建议，该验证活动将 DEB 获得的生活史特征（使用经典实验室方法获得的参数实现）与在野外获得的实际物种特征集进行比较。在估计大小和适合度方面，两种方法之间的一致性非常高 (>95%)。我们的结果表明，对于温度和食物密度对年龄尺寸曲线、最大体型和每个生命周期的总配子产量的影响，现场数据和模型输出之间具有良好的一致性。机械方法是一种在人为压力不断增加的世界中提供准确预测的有前景的方法。
Mechanistic models such as those based on dynamic energy budget (DEB) theory are emergent ecomechanics tools to investigate the extent of fitness in organisms through changes in life history traits as explained by bioenergetic principles. The rapid growth in interest around this approach originates from the mechanistic characteristics of DEB, which are based on a number of rules dictating the use of mass and energy flow through organisms. One apparent bottleneck in DEB applications comes from the estimations of DEB parameters which are based on mathematical and statistical methods (covariation method). The parameterisation process begins with the knowledge of some functional traits of a target organism (e. g. embryo, sexual maturity and ultimate body size, feeding and assimilation rates, maintenance costs), identified from the literature or laboratory experiments. However, considering the prominent role of the mechanistic approach in ecology, the reduction of possible uncertainties is an important objective. We propose a revaluation of the laboratory procedures commonly used in ecological studies to estimate DEB parameters in marine bivalves. Our experimental organism was Brachidontes pharaonis. We supported our proposal with a validation exercise which compared life history traits as obtained by DEBs (implemented with parameters obtained using classical laboratory methods) with the actual set of species traits obtained in the field. Correspondence between the 2 approaches was very high (>95%) with respect to estimating both size and fitness. Our results demonstrate a good agreement between field data and model output for the effect of temperature and food density on age-size curve, maximum body size and total gamete production per life span. The mechanistic approach is a promising method of providing accurate predictions in a world that is under in creasing anthropogenic pressure.