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Population dynamics of synthetic terraformation motifs

机译:合成地形图案的种群动态

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Ecosystems are complex systems, currently experiencing several threats associated with global warming, intensive exploitation and human-driven habitat degradation. Because of a general presence of multiple stable states, including states involving population extinction, and due to the intrinsic nonlinearities associated with feedback loops, collapse in ecosystems could occur in a catastrophic manner. It has been recently suggested that a potential path to prevent or modify the outcome of these transitions would involve designing synthetic organisms and synthetic ecological interactions that could push these endangered systems out of the critical boundaries. In this paper, we investigate the dynamics of the simplest mathematical models associated with four classes of ecological engineering designs, named Terraformation motifs (TMs). These TMs put in a nutshell different ecological strategies. In this context, some fundamental types of bifurcations pervade the systems’ dynamics. Mutualistic interactions can enhance persistence of the systems by means of saddle-node bifurcations. The models without cooperative interactions show that ecosystems achieve restoration through transcritical bifurcations. Thus, our analysis of the models allows us to define the stability conditions and parameter domains where these TMs must work.
机译:生态系统是复杂的系统,目前正遭受与全球变暖,集约化开发和人类驱动的栖息地退化相关的多种威胁。由于通常存在多个稳定状态,包括涉及种群灭绝的状态,并且由于与反馈回路相关的固有非线性,生态系统的崩溃可能会以灾难性的方式发生。最近,有人提出防止或改变这些转变结果的潜在途径将涉及设计合成生物和合成生态相互作用,以将这些濒临灭绝的系统推到关键的界限之外。在本文中,我们研究了与四类生态工程设计(称为Terraformation主题(TM))相关的最简单数学模型的动力学。这些TM概括地提出了不同的生态策略。在这种情况下,分叉的一些基本类型遍布系统的动态范围。相互影响可以通过鞍节点分叉来增强系统的持久性。没有合作互动的模型表明,生态系统通过跨临界分叉来实现恢复。因此,我们对模型的分析使我们能够定义这些TM必须在其中工作的稳定性条件和参数域。

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