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在社会性动物的战争中,复杂的战场有利于强者而非大军。

Complex battlefields favor strong soldiers over large armies in social animal warfare.

机构信息

School of Biological Sciences, The University of Western Australia, Crawley, WA 6009, Australia.

Ecosystem Change Ecology Team, Commonwealth Scientific and Industrial Research Organisation (CSIRO) Health and Biosecurity, Floreat, WA 6014, Australia.

出版信息

Proc Natl Acad Sci U S A. 2023 Sep 12;120(37):e2217973120. doi: 10.1073/pnas.2217973120. Epub 2023 Aug 28.

DOI:10.1073/pnas.2217973120
PMID:37639613
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10500280/
Abstract

In social animals, success can depend on the outcome of group battles. Theoretical models of warfare predict that group fighting ability is proportional to two key factors: the strength of each soldier in the group and group size. The relative importance of these factors is predicted to vary across environments [F. W. Lanchester, (1916)]. Here, we provide an empirical validation of the theoretical prediction that open environments should favor superior numbers, whereas complex environments should favor stronger soldiers [R. N. Franks, L. W. Partridge, , 197-199 (1993)]. We first demonstrate this pattern using simulated battles between relatively strong and weak soldiers in a computer-driven algorithm. We then validate this result in real animals using an ant model system: In battles in which the number of strong native meat ant workers is constant while the number of weak non-native invasive Argentine ant workers increases across treatments, fatalities of are lower in complex than in simple arenas. Our results provide controlled experimental evidence that investing in stronger soldiers is more effective in complex environments. This is a significant advance in the empirical study of nonhuman warfare and is important for understanding the competitive balance among native and non-native invasive ant species.

摘要

在社会性动物中,成功可能取决于群体战斗的结果。战争的理论模型预测,群体战斗能力与两个关键因素成正比:群体中每个士兵的力量和群体规模。这些因素的相对重要性预计会因环境而异[F. W. Lanchester,(1916)]。在这里,我们提供了对理论预测的实证验证,即开放环境应该有利于数量优势,而复杂环境应该有利于更强壮的士兵[R. N. Franks,L. W. Partridge,,197-199(1993)]。我们首先使用计算机驱动的算法在模拟战斗中展示了这种模式,然后使用蚂蚁模型系统在真实动物中验证了这一结果:在战斗中,当强壮的本地肉食蚂蚁工人的数量保持不变,而弱的非本地入侵阿根廷蚂蚁工人的数量在处理过程中增加时,在复杂的竞技场中比在简单的竞技场中死亡的更少。我们的结果提供了受控实验证据,表明投资于更强壮的士兵在复杂环境中更有效。这是对非人类战争的实证研究的重大进展,对于理解本地和非本地入侵蚂蚁物种之间的竞争平衡具有重要意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/febe/10500280/0d0c5a635e58/pnas.2217973120fig02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/febe/10500280/7a06a1bf1286/pnas.2217973120fig01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/febe/10500280/0d0c5a635e58/pnas.2217973120fig02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/febe/10500280/7a06a1bf1286/pnas.2217973120fig01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/febe/10500280/0d0c5a635e58/pnas.2217973120fig02.jpg

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本文引用的文献

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Proc Biol Sci. 2022 May 25;289(1975):20220343. doi: 10.1098/rspb.2022.0343. Epub 2022 May 18.
2
Correlates and Consequences of Worker Polymorphism in Ants.蚂蚁工蚁多态性的关联和后果。
Annu Rev Entomol. 2018 Jan 7;63:575-598. doi: 10.1146/annurev-ento-020117-043357. Epub 2017 Oct 25.
3
Flexibility in nest density and social structure in invasive populations of the Argentine ant, Linepithema humile.
入侵物种阿根廷蚁(Linepithema humile)巢穴密度和社会结构的灵活性。
Oecologia. 2002 Dec;133(4):492-500. doi: 10.1007/s00442-002-1069-3. Epub 2002 Dec 1.
4
Genetic structure, behaviour and invasion history of the Argentine ant supercolony in Australia.澳大利亚阿根廷蚁超级蚁群的遗传结构、行为及入侵历史
Evol Appl. 2011 May;4(3):471-84. doi: 10.1111/j.1752-4571.2010.00161.x. Epub 2010 Dec 6.
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The global expansion of a single ant supercolony.单个超级蚁群的全球扩张。
Evol Appl. 2010 Mar;3(2):136-43. doi: 10.1111/j.1752-4571.2009.00114.x.
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Dynamics and genetic structure of Argentine ant supercolonies in their native range.阿根廷蚂蚁超级群落的动态变化及其在原生栖息地的遗传结构
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Genetics and behavior of a colonizing species: the invasive Argentine ant.一个入侵物种的遗传学与行为:入侵性阿根廷蚂蚁
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Native supercolonies of unrelated individuals in the invasive Argentine ant.入侵性阿根廷蚁中由不相关个体组成的原生超级群落。
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