Olesen Jens M
Department of Biology Aarhus University Aarhus C Denmark.
Ecol Evol. 2022 May 20;12(5):e8916. doi: 10.1002/ece3.8916. eCollection 2022 May.
Ego net analysis is a well-known practice in social sciences, where an ego net (EN) consists of a focal node, the ego, and its links to other nodes, called alters, and alter-alter links may also be included. An EN describes how a focal node is embedded in its interaction context. Here, I introduce EN analysis to ecology in a study of the trophic network of a sub-Antarctic land bird, Lesser Sheathbill (). Data originate from the sheathbill population on Marion Island in the Southern Ocean. The bird is ego and its enemies and food are alters. The EN is organized along three dimensions: habitat, interaction type, and time (from before human arrival in 1803 and until a future year 2100). Ten EN descriptors are defined, estimated, and used to track the 300 years of change in sheathbill EN structure. Since 1803, the EN has passed two major, but reversible shifts-seal exploitation in the 19th century and presence of cats from 1949 to 1991. These shifts can be read as structural changes in the sheathbill EN. In the future, a third, perhaps irreversible change is predicted, driven by climate change and a surprising, recent shift to seabird predation by House Mouse, the most detrimental of all extant invaders on Marion. In a warmer and drier future, the mouse will proliferate, and if this forces seabirds to abandon the island, their accumulation of detritus runs dry, starving a rich invertebrate detritivore fauna, which also is a key food source to sheathbills. These detritivores together with plants have also constituted the main food sources of mice. The EN descriptors quantify that story. In the future, these events may lead to a collapse of the island ecosystem, including extinction of the sheathbill-unless plans for mouse eradication are implemented.
自我中心网络分析是社会科学中一种广为人知的做法,其中自我中心网络(EN)由一个焦点节点(自我)及其与其他节点(称为他者)的链接组成,他者与他者之间的链接也可能包括在内。一个自我中心网络描述了一个焦点节点是如何嵌入其互动背景中的。在这里,我将自我中心网络分析引入生态学,用于研究亚南极陆地鸟类小鞘嘴鸥()的营养网络。数据来自南大洋马里恩岛上的鞘嘴鸥种群。这种鸟是自我,其天敌和食物是他者。自我中心网络沿着三个维度组织:栖息地、互动类型和时间(从1803年人类到来之前到未来的2100年)。定义、估计并使用了十个自我中心网络描述符来追踪鞘嘴鸥自我中心网络结构300年的变化。自1803年以来,自我中心网络经历了两次重大但可逆的转变——19世纪对海豹的捕猎以及1949年至1991年猫的出现。这些转变可以被视为鞘嘴鸥自我中心网络的结构变化。未来,预计会出现第三次可能不可逆转的变化,这是由气候变化以及最近出现的一个令人惊讶的转变引发的,即家鼠开始捕食海鸟,家鼠是马里恩岛上所有现存入侵物种中最具危害性的。在更温暖、更干燥的未来,老鼠数量将激增,如果这迫使海鸟离开该岛,它们的碎屑堆积将会枯竭,使丰富的无脊椎碎屑食性动物群落挨饿,而这些动物也是鞘嘴鸥的关键食物来源。这些碎屑食性动物和植物也是老鼠的主要食物来源。自我中心网络描述符量化了这个故事。未来,这些事件可能导致该岛生态系统崩溃,包括鞘嘴鸥灭绝——除非实施灭鼠计划。