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盗寄生和食腐行为可稳定生态系统动态。

Kleptoparasitism and Scavenging Can Stabilize Ecosystem Dynamics.

作者信息

Focardi Stefano, Materassi Massimo, Innocenti Giacomo, Berzi Duccio

出版信息

Am Nat. 2017 Sep;190(3):398-409. doi: 10.1086/692798. Epub 2017 Aug 1.

Abstract

Scavenging is ubiquitous in nature, but its implications have rarely been investigated. We used camera traps on wolf kills to investigate the role of scavenging on predator and multiprey dynamics in a northern Apennine system in Italy. In contrast to North American systems, the omnivorous wild boar successfully competes with wolves for the meat of their kills. We developed a deterministic, multitrophic web model (wolf, vegetation, deer, and wild boar), tunable through a parameter that governs the impact of prey sharing between wolves and wild boar. When prey sharing is scarce, populations oscillate, but above a threshold value the trophic web is stabilized, with the regime solution becoming a fixed, stable point. Both deer and wild boar then increase as a function of prey sharing, and the impact of herbivores on the vegetation increases. When prey sharing exceeds another threshold, the system collapses due to the extinction of both wolves and wild boar. Our analysis shows that scavenging is crucial for the dynamics of this ecosystem, and thus it should not be overlooked in food web modeling. The exploitation of wolf kills by wild boar may allow juveniles and yearlings to obtain high-quality resources that are not usually available, helping the wild boar to compensate for losses caused by hunting. This is likely to make them even more invasive and difficult to control.

摘要

食腐行为在自然界中普遍存在,但其影响却很少被研究。我们在狼的猎物尸体处设置了摄像头陷阱,以研究食腐行为对意大利亚平宁山脉北部一个系统中捕食者和多种猎物动态的作用。与北美系统不同,杂食性野猪成功地与狼争夺它们捕杀猎物的肉。我们开发了一个确定性的多营养级食物网模型(狼、植被、鹿和野猪),可通过一个参数进行调节,该参数控制着狼与野猪之间猎物共享的影响。当猎物共享很少时,种群会波动,但超过一个阈值后,营养级食物网会稳定下来,系统解会变成一个固定的稳定点。然后,鹿和野猪的数量都会随着猎物共享而增加,食草动物对植被的影响也会增加。当猎物共享超过另一个阈值时,由于狼和野猪的灭绝,系统会崩溃。我们的分析表明,食腐行为对这个生态系统的动态至关重要,因此在食物网建模中不应被忽视。野猪对狼捕杀猎物的利用可能使幼崽和一岁龄个体获得通常无法获得的高质量资源,帮助野猪弥补狩猎造成的损失。这可能会使它们更具入侵性且更难控制。

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