Faculty of Agriculture, Kindai University, Nakamachi 3327-204, Nara, Nara, 631-8505, Japan.
National Institute for Environmental Studies (NIES), Onogawa 16-2, Tsukuba, Ibaraki, 305-8506, Japan.
Commun Biol. 2024 Oct 22;7(1):1309. doi: 10.1038/s42003-024-06948-2.
Recent studies have revealed that biotic interactions in ecological communities vary over time, possibly mediating community responses to anthropogenic disturbances. This study investigated the heterogeneity of such variability within a real community and its impact on population stability in the face of pesticide application, particularly focusing on density-dependence of the interaction effect. Using outdoor mesocosms with a freshwater community, we found considerable heterogeneity in density-dependent interaction variability among links in the same community. This variability mediated the stability of recipient populations, with negative density-dependent interaction variability stabilizing whereas positive density-dependence and density-independent interaction variability destabilizing populations. Unexpectedly, the mean interaction strength, which is typically considered crucial for stability, had no significant effect, suggesting that how organisms interact on average is insufficient to predict the ecological impacts of pesticides. Our findings emphasize the multifaceted role of interaction variability in predicting the ecological consequences of anthropogenic disturbances such as pesticide application.
最近的研究表明,生态群落中的生物相互作用随时间而变化,可能介导了群落对人为干扰的响应。本研究调查了真实群落中这种变异性的异质性及其对农药应用下种群稳定性的影响,特别关注了相互作用效应的密度依赖性。我们使用带有淡水群落的户外中观模型,发现同一群落中不同环节之间的密度依赖性相互作用变异性存在相当大的异质性。这种变异性调节了受体种群的稳定性,负密度依赖性相互作用变异性使种群稳定,而正密度依赖性和非密度依赖性相互作用变异性使种群不稳定。出乎意料的是,通常被认为对稳定性至关重要的平均相互作用强度没有显著影响,这表明生物体的平均相互作用方式不足以预测农药等人为干扰的生态影响。我们的研究结果强调了相互作用变异性在预测人为干扰如农药应用的生态后果方面的多方面作用。