'Rui Nabeiro' Biodiversity Chair, MED - Mediterranean Institute for Agriculture, Environment and Development & CHANGE - Global Change and Sustainability Institute, Institute for Advanced Studies and Research, Universidade de Évora, Évora, Portugal.
Centro de Investigaciones en Física e Ingeniería del Centro, Universidad Nacional del Centro de la Provincia de Buenos Aires, Consejo Nacional de Investigaciones Científicas y Técnicas, Tandil, Buenos Aires, Argentina.
Ecol Lett. 2022 Nov;25(11):2476-2488. doi: 10.1111/ele.14107. Epub 2022 Sep 27.
Networks describe nodes connected by links, with numbers of links per node, the degree, forming a range of distributions including random and scale-free. How network topologies emerge in natural systems still puzzles scientists. Based on previous theoretical simulations, we predict that scale-free food webs are favourably selected by random disturbances while random food webs are selected by targeted disturbances. We assume that lower human pressures are more likely associated with random disturbances, whereas higher pressures are associated with targeted ones. We examine these predictions using 351 empirical food webs, generally confirming our predictions. Should the topology of food webs respond to changes in the magnitude of disturbances in a predictable fashion, consistently across ecosystems and scales of organisation, it would provide a baseline expectation to understand and predict the consequences of human pressures on ecosystem dynamics.
网络描述了由链接连接的节点,每个节点的链接数量,即度数,形成了一系列分布,包括随机和无标度。网络拓扑结构如何在自然系统中出现仍然让科学家感到困惑。基于以前的理论模拟,我们预测无标度的食物网会受到随机干扰的有利选择,而随机的食物网会受到有针对性的干扰的选择。我们假设较低的人为压力更可能与随机干扰有关,而较高的压力则与有针对性的干扰有关。我们使用 351 个经验食物网检验了这些预测,结果基本验证了我们的预测。如果食物网的拓扑结构能够以可预测的方式对干扰的强度变化做出反应,并且在不同的生态系统和组织规模上都保持一致,那么这将为理解和预测人为压力对生态系统动态的影响提供一个基线预期。