Faculty of Biology, Aquatic Ecology, University of Duisburg-Essen, Essen, Germany.
Centre for Water and Environmental Research, University of Duisburg-Essen, Essen, Germany.
Nat Ecol Evol. 2020 Aug;4(8):1060-1068. doi: 10.1038/s41559-020-1216-4. Epub 2020 Jun 15.
Climate and land-use change drive a suite of stressors that shape ecosystems and interact to yield complex ecological responses (that is, additive, antagonistic and synergistic effects). We know little about the spatial scales relevant for the outcomes of such interactions and little about effect sizes. These knowledge gaps need to be filled to underpin future land management decisions or climate mitigation interventions for protecting and restoring freshwater ecosystems. This study combines data across scales from 33 mesocosm experiments with those from 14 river basins and 22 cross-basin studies in Europe, producing 174 combinations of paired-stressor effects on a biological response variable. Generalized linear models showed that only one of the two stressors had a significant effect in 39% of the analysed cases, 28% of the paired-stressor combinations resulted in additive effects and 33% resulted in interactive (antagonistic, synergistic, opposing or reversal) effects. For lakes, the frequencies of additive and interactive effects were similar for all spatial scales addressed, while for rivers these frequencies increased with scale. Nutrient enrichment was the overriding stressor for lakes, with effects generally exceeding those of secondary stressors. For rivers, the effects of nutrient enrichment were dependent on the specific stressor combination and biological response variable. These results vindicate the traditional focus of lake restoration and management on nutrient stress, while highlighting that river management requires more bespoke management solutions.
气候和土地利用变化带来了一系列压力因素,这些因素塑造了生态系统,并相互作用产生复杂的生态响应(即相加、拮抗和协同效应)。我们对这些相互作用产生结果的相关空间尺度知之甚少,也不太了解效应大小。为了支持未来的土地管理决策或保护和恢复淡水生态系统的气候缓解干预措施,需要填补这些知识空白。本研究结合了来自欧洲 33 个中观实验、14 个流域和 22 个跨流域研究的数据,对生物响应变量的成对胁迫效应产生了 174 种组合。广义线性模型表明,在分析的案例中,只有 39%的情况下有两个胁迫因素中的一个有显著影响,28%的成对胁迫组合产生相加效应,33%的组合产生相互作用(拮抗、协同、相反或逆转)效应。对于湖泊,在研究的所有空间尺度上,相加和相互作用的频率相似,而对于河流,这些频率随尺度增加而增加。富营养化是湖泊的主要胁迫因素,其影响通常超过次要胁迫因素。对于河流,富营养化的影响取决于具体的胁迫因素组合和生物响应变量。这些结果证实了湖泊恢复和管理传统上对营养胁迫的关注,同时也强调了河流管理需要更具针对性的管理解决方案。