Data for: Disruption of ecological networks in lakes by climate change and nutrient fluctuations

Climate change interacts with local processes to threaten biodiversity by disrupting the complex network of ecological interactions. While changes in network interactions drastically affect ecosystems, how ecological networks respond to climate change, in particular warming and nutrient supply fluctuation, is largely unknown. Here, using an equation-free modeling approach on monthly plankton community data in ten Swiss lakes, we show that the number and strength of plankton community interactions fluctuate and respond nonlinearly to water temperature and phosphorus. While lakes show system-specific responses, warming generally reduces network interactions, particularly under high phosphate levels. This network reorganization shifts trophic control of food webs, leading to consumers being controlled by resources. Small grazers and cyanobacteria emerge as sensitive indicators of changes in plankton networks. By exposing the outcomes of a complex interplay between environmental drivers, our results provide tools for studying and advancing our understanding of how climate change impacts entire ecological communities.

气候变化与局地过程相互作用，通过破坏复杂的生态相互作用网络，对生物多样性构成威胁。尽管网络相互作用的变化会对生态系统造成显著影响，但生态网络如何响应气候变化——尤其是增温与养分供应波动——这一问题在很大程度上仍未被阐明。本研究基于瑞士10个湖泊的月度浮游生物群落数据，采用无方程建模方法，结果显示浮游生物群落相互作用的数量与强度会随水温和磷浓度发生非线性波动并呈现非线性响应。尽管不同湖泊表现出系统特异性的响应模式，但总体而言，增温会削弱网络相互作用，在高磷酸盐水平下该效应尤为突出。这种网络重构会改变食物网的营养级调控格局，使得消费者受资源的调控。小型牧食者与蓝藻可作为浮游生物网络变化的敏感指示物种。本研究揭示了环境驱动因子间复杂相互作用的结果，为探究并深化我们对气候变化如何影响完整生态群落的理解提供了研究工具。

搜集汇总

背景与挑战

背景概述

该数据集基于瑞士10个湖泊的月度浮游生物群落数据，采用无方程建模方法，研究气候变化（如变暖）和营养波动（如磷供应）对湖泊生态网络的影响。分析发现，网络相互作用随水温和磷水平非线性变化，气候变暖通常减少相互作用，尤其在磷水平高时，导致食物网营养控制转移，小型食草动物和蓝藻可作为网络变化的敏感指标。