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植物-狐猴生态网络结构的驱动因素和后果。

Drivers and consequences of structure in plant-lemur ecological networks.

机构信息

Nicholas School of the Environment, Duke University, Durham, North Carolina, USA.

Duke Lemur Center SAVA Conservation, Duke University, Durham, North Carolina, USA.

出版信息

J Anim Ecol. 2022 Oct;91(10):2010-2022. doi: 10.1111/1365-2656.13776. Epub 2022 Sep 1.

Abstract

Species interactions shape the diversity and resilience of ecological networks. Plant and animal traits, as well as phylogeny, affect interaction likelihood, driving variation in network structure and tolerance to disturbance. We investigated how traits and phylogenetic effects influenced network-wide interaction probabilities and examined the consequences of extinction on the structure and robustness of ecological networks. We combined both mutualistic and antagonistic interactions of animals (55 species, Infraorder Lemuriformes, Order Primates) and their food plants (590 genera) throughout Madagascar to generate ecological networks. We tested the effects of both lemur and plant traits, biogeographic factors and phylogenetic relatedness on interaction probability in these networks using exponential random graph models. Next, we simulated animal and plant extinction to analyse the effects of extinction on network structure (connectance, nestedness and modularity) and robustness for mutualistic, antagonistic and combined plant-animal networks. Both animal and plant traits affected their interaction probabilities. Large, frugivorous lemurs with a short gestation length, occurring in arid habitats, and with a Least Concern threat level had a high interaction probability in the network, given all other variables. Closely related plants were more likely to interact with the same lemur species than distantly related plants, but closely related lemurs were not more likely to interact with the same plant genus. Simulated lemur extinction tended to increase connectance and modularity, but decrease nestedness and robustness, compared to pre-extinction networks. Networks were more tolerant to plant than lemur extinctions. Lemur-plant interactions were highly trait structured and the loss of both lemurs and plants threatened the tolerance of mutualistic, antagonistic and combined networks to future disturbance.

摘要

物种相互作用塑造了生态网络的多样性和恢复力。植物和动物的特征以及系统发育会影响相互作用的可能性,从而驱动网络结构和对干扰的容忍度的变化。我们研究了特征和系统发育效应对网络范围内相互作用概率的影响,并研究了灭绝对生态网络结构和稳健性的影响。我们结合了马达加斯加的动物(灵长目下的 infraorder Lemuriformes,灵长目)及其食物植物(590 属)的互利和拮抗相互作用,以生成生态网络。我们使用指数随机图模型测试了 lemur 和植物特征、生物地理因素和系统发育亲缘关系对这些网络中相互作用概率的影响。接下来,我们模拟了动物和植物的灭绝,以分析灭绝对网络结构(连接度、嵌套性和模块性)和互利、拮抗和植物-动物综合网络的稳健性的影响。动物和植物特征都影响它们的相互作用概率。大型、食果的 lemur,具有较短的妊娠期、生活在干旱栖息地且处于低危状态,在网络中具有较高的相互作用概率,所有其他变量相同。密切相关的植物比远缘植物更有可能与同一 lemur 物种相互作用,但密切相关的 lemur 物种与同一植物属的相互作用可能性不大。与灭绝前的网络相比,模拟 lemur 灭绝往往会增加连接度和模块性,但会降低嵌套性和稳健性。与 lemur 灭绝相比,网络对植物灭绝的容忍度更高。lemur-plant 相互作用具有高度的特征结构,lemur 和植物的损失威胁到互利、拮抗和综合网络对未来干扰的容忍度。

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