Abiotic and biotic drivers of temporal dynamics in the spatial heterogeneity of zooplankton communities across lakes in recovery from eutrophication
Abiotic and biotic drivers of temporal dynamics in the spatial heterogeneity of zooplankton communities across lakes in recovery from eutrophication
复制标题
富营养化恢复过程中湖泊浮游动物群落空间异质性时间动态的非生物和生物驱动因素
DOI：
10.1016/j.scitotenv.2021.146368
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发表时间：
2021
影响因子：
9.8
通讯作者：
Jeppesen Erik
中科院分区：
文献类型：
--
作者：
Fu Hui;ozkan Korhan;Yuan Guixiang;Johansson Liselotte S;er;Sondergaard Martin;Lauridsen Torben L.;Jeppesen Erik
湖泊浮游动物群落的季节和年度动态受到非生物驱动因素、营养相互作用（例如，浮游植物和鱼类群落和丰度的变化）和生境特征（例如大型植物的丰度和组成）。然而，人们对区域尺度上湖泊浮游动物群落对非生物和生物驱动因素的时间响应知之甚少。使用一个全面的20年的数据集，从20个丹麦湖泊的富营养化恢复，我们评估了季节和年度的趋势，在整个湖泊浮游动物群落的空间异质性，并将其与非生物和生物驱动程序。我们发现显着的季节性和年际减少浮游动物的空间异质性在浅水和深水湖泊，减少的空间营业额主导的时间动态的β多样性。在年际变化中，浮游植物、水生植物和鱼类的空间异质性降低是区域尺度上重要的生物驱动因子。使用一系列普通最小二乘回归和模型选择与模型平均方法，我们发现，无论是本地（例如，总磷、总氮、pH、Secchi深度、碱度、施密特稳定性、水温）和区域驱动因素（例如，气温、太阳辐照度）是影响浮游动物空间异质性的重要变量，但方向取决于β多样性指标和水深。我们的研究结果强调了自下而上的力量，通过浮游植物群落以及大型植物和自上而下的力量，通过鱼类在驱动浮游动物群落组成模式的时间变化在区域尺度上的重要作用。
Seasonal and annual dynamics of the zooplankton community in lakes are affected by changes in abiotic drivers, trophic interactions (e.g., changes in phytoplankton and fish communities and abundances) and habitat characteristics (e.g. macrophyte abundance and composition). However, little is known about the temporal responses of the zooplankton community to abiotic and biotic drivers across lakes at the regional scale. Using a comprehensive 20-year dataset from 20 Danish lakes in recovery from eutrophication, we assessed the seasonal and annual trends in the spatial heterogeneity of zooplankton community across lakes and related it to abiotic and biotic drivers. We found significant seasonality and inter-annual decreases in spatial zooplankton heterogeneity in both shallow and deep lakes, with the decrease in the spatial turnover dominating the temporal dynamics of the beta diversity. For the inter-annual changes, decreased spatial heterogeneity of phytoplankton, macrophytes and fish were important biotic drivers at the regional scale. Using a series of ordinary least squares regressions and model selection with model averaging approaches, we revealed that both local (e.g., total phosphorus, total nitrogen, pH, Secchi depth, alkalinity, Schmidt stability, water temperature) and regional drivers (e.g., air temperature, solar irradiance) were important variables influencing the spatial zooplankton heterogeneity, although the directions depended on the beta diversity measures and water depth. Our results highlight an important role of bottom-up forces through phytoplankton community as well as macrophytes and top-down forces via fishes in driving the temporal changes in zooplankton community composition patterns at the regional scale.