Community recomposition caused by species extinction in the colonization-competition trade-off model for vegetation

IF 2.6 3区 环境科学与生态学 Q2 ECOLOGY Ecological Modelling Pub Date : 2024-11-13 DOI:10.1016/j.ecolmodel.2024.110906
Dorian Nothaaß , Andreas Huth
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Abstract

Species extinction and the resulting impact on the community composition is a pervasive threat to vegetation ecosystems today. Understanding how the extinction of one or more species affects and threatens biodiversity is challenging. Here, we study the scenario of a sudden species extinction in the colonization-competition trade-off model by assuming that a disturbance eliminates a species on a fleeting time scale. The system then returns to equilibrium, but the equilibrial abundances have changed for all inferior competitors. We use numerical and analytical calculations to show that the sudden extinction of one species results in a large increase in abundance of the next inferior competitor and subsequent additional extinction of the next-but-one inferior species. We present the changes in community composition and diversity using rank abundance distributions and the Shannon index, respectively. In addition to theoretical parameterizations, we use data for grasslands, which are exponentially distributed, where additional species extinctions occur.
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植被定殖-竞争权衡模型中物种灭绝导致的群落重组
物种灭绝及其对群落组成的影响是当今植被生态系统面临的一个普遍威胁。了解一个或多个物种的灭绝如何影响和威胁生物多样性具有挑战性。在这里,我们通过假设一个物种在短暂的时间尺度内因干扰而灭绝,研究了殖民-竞争权衡模型中物种突然灭绝的情景。系统随后恢复平衡,但所有劣势竞争者的平衡丰度都发生了变化。我们利用数值和分析计算表明,一个物种的突然灭绝会导致下一个劣等竞争者的丰度大幅增加,随后下一个劣等物种也会灭绝。我们分别用丰度等级分布和香农指数来描述群落组成和多样性的变化。除了理论参数外,我们还使用了草地的数据,这些数据呈指数分布,在草地上发生了更多的物种灭绝。
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来源期刊
Ecological Modelling
Ecological Modelling 环境科学-生态学
CiteScore
5.60
自引率
6.50%
发文量
259
审稿时长
69 days
期刊介绍: The journal is concerned with the use of mathematical models and systems analysis for the description of ecological processes and for the sustainable management of resources. Human activity and well-being are dependent on and integrated with the functioning of ecosystems and the services they provide. We aim to understand these basic ecosystem functions using mathematical and conceptual modelling, systems analysis, thermodynamics, computer simulations, and ecological theory. This leads to a preference for process-based models embedded in theory with explicit causative agents as opposed to strictly statistical or correlative descriptions. These modelling methods can be applied to a wide spectrum of issues ranging from basic ecology to human ecology to socio-ecological systems. The journal welcomes research articles, short communications, review articles, letters to the editor, book reviews, and other communications. The journal also supports the activities of the [International Society of Ecological Modelling (ISEM)](http://www.isemna.org/).
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