Relationships among generalized positive feedback loops determine possible community outcomes in plant-pollinator interaction networks
Relationships among generalized positive feedback loops determine possible community outcomes in plant-pollinator interaction networks
复制标题
广义正反馈循环之间的关系决定了植物-传粉者相互作用网络中可能的群落结果
DOI：
10.1103/physreve.104.054304
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发表时间：
2021
影响因子：
2.4
通讯作者：
Albert, Réka
中科院分区：
文献类型：
--
作者：
Fatemi Nasrollahi, Fatemeh Sadat;Gómez Tejeda Zañudo, Jorge;Campbell, Colin;Albert, Réka
布尔网络模型中的吸引子代表复杂系统，如生态群落，对应于长期结果（例如，在这样的系统中，稳定的社区。因此，确定有效的方法来寻找和描述这些吸引子，可以更好地理解可能结果的多样性。在这里，我们分析的网络模型的植物和传粉者物种的布尔阈值函数所管辖的互惠社区。基于广义正反馈环及其函数关系，提出了一种新的吸引子识别方法。我们表明，这些关系确定的机制，稳定的正反馈回路组集体陷阱系统在特定区域的状态空间，并导致吸引子。在生态学的背景下，我们展示了如何生存单位，小群体的物种中，物种可以保持一个特定的生存状态，它们之间的关系决定了最终的社区结果在植物传粉网络。我们发现一个显着的多样性的社区结果：高达43个吸引子的平均可能的网络与100个物种。这种多样性是由于生存单位（多达34个）和稳定的亚群落（多达14个）的多样性。物种流入或流出的时间不影响吸引子的数量，但它可能会影响它们的吸引盆地。
Attractors in Boolean network models representing complex systems such as ecological communities correspond to long-term outcomes (e.g., stable communities) in such systems. As a result, identifying efficient methods to find and characterize these attractors allows for a better understanding of the diversity of possible outcomes. Here we analyze networks that model mutualistic communities of plant and pollinator species governed by Boolean threshold functions. We propose a novel attractor identification method based on generalized positive feedback loops and their functional relationships in such networks. We show that these relationships determine the mechanisms by which groups of stable positive feedback loops collectively trap the system in specific regions of the state space and lead to attractors. Put into the ecological context, we show how survival units—small groups of species in which species can maintain a specific survival state—and their relationships determine the final community outcomes in plant-pollinator networks. We find a remarkable diversity of community outcomes: up to an average of 43 attractors possible for networks with 100 species. This diversity is due to the multiplicity of survival units (up to 34) and stable subcommunities (up to 14). The timing of species influx or outflux does not affect the number of attractors, but it may influence their basins of attraction.