摘要翻译:
在这项工作中,我们提出了一个数学模型,基于Lotka-Volterra食饵-捕食者方程的修正版本,以预测大气中CO2浓度的增加。我们考虑光合作用速率如何随着CO2的增加而变化,以及这如何影响植物的繁殖和CO2吸收速率。考虑了CO2总排放量(自然和人为)和生物量数值参数变化。结果表明,在某些特定条件下,大气系统可以处于平衡状态,并与历史资料作了比较。
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英文标题:
《Prey-predator modeling of CO2 atmospheric concentration》
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作者:
Luis Augusto Trevisan and Fabiano Meira de Moura Luz
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最新提交年份:
2008
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分类信息:
一级分类:Quantitative Biology 数量生物学
二级分类:Other Quantitative Biology 其他定量生物学
分类描述:Work in quantitative biology that does not fit into the other q-bio classifications
不适合其他q-bio分类的定量生物学工作
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一级分类:Quantitative Biology 数量生物学
二级分类:Populations and Evolution 种群与进化
分类描述:Population dynamics, spatio-temporal and epidemiological models, dynamic speciation, co-evolution, biodiversity, foodwebs, aging; molecular evolution and phylogeny; directed evolution; origin of life
种群动力学;时空和流行病学模型;动态物种形成;协同进化;生物多样性;食物网;老龄化;分子进化和系统发育;定向进化;生命起源
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英文摘要:
In this work we propose a mathematical model, based in a modified version of the Lotka-Volterra prey-predator equations, to predict the increasing in CO2 atmospheric concentration. We consider how the photosynthesis rate has changed with the increase of CO2 and how this affects plant reproduction and CO2 absorptions rates. Total CO2 emissions (natural and manmade) and biomass numerical parameter changes are considered. It is shown that the atmospheric system can be in equilibrium under some specific conditions, and also some comparisons with historical are done.
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PDF链接:
https://arxiv.org/pdf/0805.0819