陆地和水生食草-生产者系统的化学计量动力学对比。

IF 1.8 4区 数学 Q3 ECOLOGY Journal of Biological Dynamics Pub Date : 2021-05-01 Epub Date: 2020-05-27 DOI:10.1080/17513758.2020.1771442
Colleen M Davies, Hao Wang
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引用次数: 3

摘要

水生生态系统中生产者生物量的周转率通常比陆地生态系统快。也就是说,水生生产者的生物量增长、消耗和替换的速度比陆地快得多。WKL模型描述了磷和碳在放牧-生产者系统中的流动,因此改变模型参数可以分析这种类型的不同生态系统。在这里,我们探讨了生产者的内在生长率和食草动物的最大摄食率对这些动态的影响,因为这些参数决定了周转率。模拟结果表明,当内在生长率和最大摄食率较低时,食草动物会灭绝;对于这些参数较高的值,共存发生在振荡中。灵敏度分析揭示了各参数对渐近动力学的相对重要性。最后,LKE模型中改变这两个参数的影响在数量上似乎与WKL模型中的影响相似。
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Contrasting stoichiometric dynamics in terrestrial and aquatic grazer-producer systems.

The turnover rate of producer biomass in aquatic ecosystems is generally faster than in terrestrial. That is, aquatic producer biomass grows, is consumed, and is replaced considerably faster than terrestrial. The WKL model describes the flow of phosphorus and carbon through a grazer-producer system, hence varying the model parameters allows for analysis of different ecosystems of this type. Here we explore the impacts of the intrinsic growth rate of the producer and the maximal ingestion rate of the grazer on these dynamics because these parameters determine turnover rate. Simulations show that for low intrinsic growth rate and maximal ingestion rate, the grazer goes extinct; for higher values of these parameters, coexistence occurs in oscillations. Sensitivity analysis reveals the relative importance of all parameters on asymptotic dynamics. Lastly, the impacts of changing these two parameters in the LKE model appears to be quantitatively similar to the impacts in the WKL model.

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来源期刊
Journal of Biological Dynamics
Journal of Biological Dynamics ECOLOGY-MATHEMATICAL & COMPUTATIONAL BIOLOGY
CiteScore
4.90
自引率
3.60%
发文量
28
审稿时长
33 weeks
期刊介绍: Journal of Biological Dynamics, an open access journal, publishes state of the art papers dealing with the analysis of dynamic models that arise from biological processes. The Journal focuses on dynamic phenomena at scales ranging from the level of individual organisms to that of populations, communities, and ecosystems in the fields of ecology and evolutionary biology, population dynamics, epidemiology, immunology, neuroscience, environmental science, and animal behavior. Papers in other areas are acceptable at the editors’ discretion. In addition to papers that analyze original mathematical models and develop new theories and analytic methods, the Journal welcomes papers that connect mathematical modeling and analysis to experimental and observational data. The Journal also publishes short notes, expository and review articles, book reviews and a section on open problems.
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