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Individual-based dynamic energy budget modelling of earthworm life-histories in the context of competition
Ecological Modelling ( IF 2.6 ) Pub Date : 2020-09-01 , DOI: 10.1016/j.ecolmodel.2020.109222
Kim J. Rakel , Thomas G. Preuss , André Gergs

Abstract In the environmental risk assessment of chemicals, ecological modelling can facilitate the quantification of specific protection goals, for instance by the extrapolation of untested situations from toxicity test results. In particular, individual-based models (IBMs) are gaining resonance in the regulatory community as a mean to predict how populations perform under environmental perturbation. In this regard, the hope is that standardised or general designs will increase the applicability and acceptance of model based risk assessments. Strong moves in the direction of generalised IBM designs have been made based on metabolic theories such as the dynamic energy budget (DEB) theory. Here, we parameterise the standard DEB model for the earthworm Eisenia fetida and test the individual-based DEB model by comparing predictions with published data on life-histories measured for individual worms and populations. Overall, the comparison showed good agreement between the simulations and the data, suggesting that the standard DEB model, more precisely DEBs ‘kappa-rule’, characterizing the energy partitioning between somatic and reproductive processes, is applicable to earthworms. The parametrized model is able to predict growth and reproduction for different food quality and availability.

中文翻译:

竞争背景下蚯蚓生活史的个体动态能量收支模型

摘要 在化学品的环境风险评估中,生态建模可以促进特定保护目标的量化,例如通过从毒性测试结果中推断未经测试的情况。特别是,基于个体的模型 (IBM) 作为一种预测环境扰动下种群表现的手段,正在监管界获得共鸣。在这方面,希望标准化或通用设计将增加基于模型的风险评估的适用性和接受度。基于代谢理论,例如动态能量收支 (DEB) 理论,在通用 IBM 设计方向上取得了重大进展。这里,我们对蚯蚓 Eisenia fetida 的标准 DEB 模型进行参数化,并通过将预测与已发布的关于个体蠕虫和种群的生活史测量数据进行比较来测试基于个体的 DEB 模型。总体而言,比较表明模拟和数据之间具有良好的一致性,这表明标准 DEB 模型,更准确地说是 DEB 'kappa-rule',表征了体细胞和生殖过程之间的能量分配,适用于蚯蚓。参数化模型能够预测不同食品质量和可用性的生长和繁殖。表征体细胞和生殖过程之间的能量分配,适用于蚯蚓。参数化模型能够预测不同食品质量和可用性的生长和繁殖。表征体细胞和生殖过程之间的能量分配,适用于蚯蚓。参数化模型能够预测不同食品质量和可用性的生长和繁殖。
更新日期:2020-09-01
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