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快速-慢速特征预测竞争网络结构及其对资源和敌人的响应。

Fast-slow traits predict competition network structure and its response to resources and enemies.

机构信息

Institute for Plant Sciences (IPS), Bern University, Bern, Switzerland.

Centre for Development and Environment, University of Bern, Bern, Switzerland.

出版信息

Ecol Lett. 2024 Apr;27(4):e14425. doi: 10.1111/ele.14425.

Abstract

Plants interact in complex networks but how network structure depends on resources, natural enemies and species resource-use strategy remains poorly understood. Here, we quantified competition networks among 18 plants varying in fast-slow strategy, by testing how increased nutrient availability and reduced foliar pathogens affected intra- and inter-specific interactions. Our results show that nitrogen and pathogens altered several aspects of network structure, often in unexpected ways due to fast and slow growing species responding differently. Nitrogen addition increased competition asymmetry in slow growing networks, as expected, but decreased it in fast growing networks. Pathogen reduction made networks more even and less skewed because pathogens targeted weaker competitors. Surprisingly, pathogens and nitrogen dampened each other's effect. Our results show that plant growth strategy is key to understand how competition respond to resources and enemies, a prediction from classic theories which has rarely been tested by linking functional traits to competition networks.

摘要

植物在复杂的网络中相互作用,但网络结构如何取决于资源、天敌以及物种的资源利用策略,这一点仍知之甚少。在这里,我们通过测试养分供应增加和叶部病原体减少如何影响种内和种间相互作用,量化了 18 种具有快、慢生长策略的植物之间的竞争网络。我们的研究结果表明,氮素和病原体改变了网络结构的几个方面,由于快、慢生植物的反应不同,其变化方式常常出人意料。预期的是,氮添加增加了慢生长网络中竞争的不对称性,但在快生长网络中却降低了竞争的不对称性。病原体减少使网络更加均匀,偏度更小,因为病原体针对较弱的竞争者。令人惊讶的是,病原体和氮素相互抑制对方的作用。我们的研究结果表明,植物生长策略是理解竞争如何对资源和天敌做出反应的关键,这一预测来自经典理论,该理论很少通过将功能特征与竞争网络联系起来进行测试。

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