Department of Hydrology and Water Resources Management, Institute for Natural Resource Conservation, Kiel University, 24118 Kiel, Germany; Department of Biology, Aarhus University, Ole Worms Allé 1, 8000 Aarhus C, Denmark.
Department of Hydrology and Water Resources Management, Institute for Natural Resource Conservation, Kiel University, 24118 Kiel, Germany; Department of Geography and Spatial Information Techniques, Ningbo University, 315211 Ningbo, China.
Sci Total Environ. 2021 Aug 1;780:146481. doi: 10.1016/j.scitotenv.2021.146481. Epub 2021 Mar 16.
Agrochemicals such as pesticides and nutrients are concurrent chemical stressors in freshwater aquatic ecosystems surrounded by agricultural areas. Lentic small water bodies (LSWB) are ecologically significant habitats especially for maintaining biodiversity but highly understudied. Phytoplankton are ideal indicator species for stress responses. Functional features of the phytoplankton are important in revealing the processes that determine the structure of the communities. In this study, we investigated the effects of pesticides, nutrients, and local environmental variables on the species composition and functional features of phytoplankton communities in LSWB. We studied pesticide toxicity of ninety-four pesticides, three nutrients (NH-N, NO-N and PO-P) and local environment variables (precipitation, water level change, temperature, dissolved oxygen concentration, electrical conductivity, pH) in five LSWB over twelve weeks during the spring pesticide application period. We explored respective changes in species composition of phytoplankton community and functional features. Redundancy analysis and variance partitioning analysis were applied to correlate phytoplankton community compositions with the pesticide toxicity (as maximum toxicity in toxic units), nutrients and local environment variables. We used multiple linear regression models to identify the main environmental variables driving the functional features of phytoplankton communities. Pesticide toxicity, nutrients and local environmental variables significantly (p < 0.001) contributed to shaping phytoplankton community composition individually. Local environment variables showed the highest pure contribution for driving phytoplankton composition (12%), followed by nutrients (8%) and pesticide toxicity (2%). Functional features (represented by functional diversity and functional redundancy) of the phytoplankton community were significantly affected by pesticide toxicity and nutrients concentrations. The functional richness and functional evenness were negatively affected by PO-P concentrations. Pesticide toxicity was positively correlated with functional redundancy indices. Our findings emphasized the relative importance of concurrent multiple stressors (e.g., pesticides and nutrients) on phytoplankton community structure, directing potential effects on metacommunity structures in aquatic ecosystems subjected to agricultural runoff.
农业地区周边的淡水水生生态系统中,农药和养分等农用化学品是同时存在的化学胁迫因子。静水小型水体(LSWB)是具有重要生态意义的栖息地,特别是对维持生物多样性具有重要意义,但研究却很少。浮游植物是用于指示胁迫响应的理想指示物种。浮游植物的功能特征对于揭示决定群落结构的过程非常重要。在这项研究中,我们调查了农药、养分和当地环境变量对 LSWB 浮游植物群落物种组成和功能特征的影响。我们在春季施药期间的 12 周内,在五个 LSWB 中研究了 94 种农药、三种养分(NH-N、NO-N 和 PO-P)和当地环境变量(降雨量、水位变化、温度、溶解氧浓度、电导率、pH 值)的农药毒性。我们探索了浮游植物群落物种组成和功能特征的各自变化。冗余分析和方差分解分析用于将浮游植物群落组成与农药毒性(以毒性单位中的最大毒性表示)、养分和当地环境变量相关联。我们使用多元线性回归模型来确定驱动浮游植物群落功能特征的主要环境变量。农药毒性、养分和当地环境变量单独显著(p < 0.001)影响浮游植物群落组成。当地环境变量对驱动浮游植物组成的贡献最大(12%),其次是养分(8%)和农药毒性(2%)。浮游植物群落的功能特征(由功能多样性和功能冗余表示)受到农药毒性和养分浓度的显著影响。PO-P 浓度的增加会导致功能丰富度和功能均匀度降低。农药毒性与功能冗余指数呈正相关。我们的研究结果强调了同时存在的多种胁迫因子(如农药和养分)对浮游植物群落结构的相对重要性,这可能会对受农业径流影响的水生生态系统中的复合群落结构产生潜在影响。