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Network size, structure and mutualism dependence affect the propensity for plant-pollinator extinction cascades

机译:网络规模,结构和共生依赖性影响植物传粉者灭绝级联的倾向

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摘要

1. Pollinator network structure arising from the extent and strength of interspecific mutualistic interactions can promote species persistence and community robustness. However, environmental change may re-organise network structure limiting capacity to absorb or resist shocks and increasing species extinctions. ud2. We investigated if habitat disturbance and the level of mutualism dependence between species affected the robustness of insect–flower visitation networks Following a recently developed Stochastic Co-extinction Model (SCM), we ran simulations to produce the number of extinction episodes (cascade degree), which we correlated with network structure in undisturbed and disturbed habitat. We also explicitly modelled whether a species’ intrinsic dependence on mutualism affected the propensity for extinction cascades in the network. ud3. Habitat disturbance generated a gradient in network structure with those from disturbed sites being less connected, but more speciose and so larger. Controlling for network size (z-score standardisation against the null model) revealed that disturbed networks had disproportionately low linkage density, high specialisation, fewer insect visitors per plant species (vulnerability) and lower nestedness (NODF). ud4. This network structure gradient driven by disturbance increased and decreased different aspects of robustness to simulated plant extinction. Disturbance decreased the risk that an initial insect extinction would follow a plant species loss. Although, this effect disappeared when network size and connectance were standardised, suggesting the lower connectance of disturbed networks increased robustness to an initial secondary extinction. ud5. However, if a secondary extinction occurred then networks from disturbed habitat were more prone to large co-extinction cascades, likely resulting from a greater chance of extinction in these larger, speciose networks. Conversely, when species mutualism dependency was explicit in the SCM simulations the disturbed networks were disproportionately more robust to very large co-extinction cascades, potentially caused by non-random patterns of interaction between species differing in dependence on mutualism. ud6. Our results showed disturbance altered the size and the distribution of interspecific interactions in the networks to affect their robustness to co-extinction cascades. Controlling for effects due to network size and the interspecific variation in demographic dependence on mutualism can improve insight into properties conferring the structural robustness of networks to environmental changes.
机译:1.种间互惠互动的程度和强度引起的授粉媒介网络结构可以促进物种的持久性和群落的健壮性。但是,环境变化可能会重新组织网络结构,从而限制吸收或抵抗冲击的能力,并加剧物种灭绝。 ud2。我们调查了栖息地干扰和物种之间的相互依赖程度是否影响了昆虫-花朵探访网络的健壮性。根据最近开发的随机共灭绝模型(SCM),我们进行了模拟以得出灭绝事件的数量(级联度),我们将其与不受干扰和受干扰的栖息地的网络结构相关联。我们还明确地建模了物种对互惠关系的内在依赖是否会影响网络中灭绝级联的倾向。 ud3。人居干扰在网络结构中产生了一个梯度,受干扰站点的联系较少,但特异性更大,因此更大。控制网络大小(针对零模型的z评分标准化)显示,受干扰的网络具有不成比例的低链接密度,高专业化,每个植物物种较少的昆虫来访者(脆弱性)和较低的嵌套度(NODF)。 ud4。由扰动驱动的这种网络结构梯度增加和减少了对模拟植物灭绝的鲁棒性的不同方面。干扰降低了最初的昆虫灭绝将伴随植物物种丧失的风险。虽然,当网络规模和连接性标准化后,这种影响消失了,这表明受干扰网络的较低连接性提高了初始灭绝的鲁棒性。 ud5。但是,如果发生了第二次物种灭绝,那么来自受干扰的栖息地的网络更容易发生大面积的灭绝级联,这很可能是由这些较大的特定网络中更大的灭绝机会造成的。相反,当在SCM模拟中明确指出物种共存关系时,受干扰的网络对于非常大的灭绝级联会异常强大,这可能是由于依赖共存关系的物种之间相互作用的非随机模式引起的。 ud6。我们的结果表明,干扰改变了网络中种间相互作用的大小和分布,从而影响了它们对灭绝级联的鲁棒性。控制由于网络规模和人口对互惠关系的种间差异引起的影响,可以改善对赋予网络对环境变化的结构鲁棒性的特性的了解。

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