Institute for Ecological Research and Pollution Control of Plateau Lakes, School of Ecology and Environmental Sciences, Yunnan University, Kunming 650500, China; Yunnan Key Laboratory of Pollution Process and Management of Plateau Lake-Watershed, Yunnan Research Academy of Eco-environmental Sciences, Kunming 650034, China.
Institute for Ecological Research and Pollution Control of Plateau Lakes, School of Ecology and Environmental Sciences, Yunnan University, Kunming 650500, China.
Sci Total Environ. 2022 Aug 15;834:155303. doi: 10.1016/j.scitotenv.2022.155303. Epub 2022 Apr 18.
Biodiversity-ecosystem functioning relationships under multiple pressures have recently been the subject of broad studies. For the key primary producer in aquatic ecosystems, phytoplankton, several studies have focused on trait-based functional diversity (FD) and the related functioning (e.g., resource use efficiency, RUE), and their linkages. However, investigations of the effects of environmental factors at different levels (e.g., land use, lake morphometry, climate and nutrients) on FD and RUE are sparse. We developed a data-driven-model framework to simultaneously elucidate the effects of multiple drivers on FD (functional diversity based on dendrograms, FDc and functional richness, FRic) and RUE (of nitrogen and phosphorus) of phytoplankton based on data from 68 Yunnan-Guizhou Plateau lakes, Southwest China. We found that the concentration of total phosphorus, which is mainly affected by land-use intensity and influenced by water depth, was the primary (positive) driver of changes in both FDc and FRic, while RUE was mainly explained by phytoplankton FD (i.e., FRic). These results indicate that water depth and land-use intensity influence indirectly phytoplankton FD and further regulate RUE. Moreover, nonlinear correlations of RUE with FRic were found, which may be caused by interspecific competition and niche differentiation of the phytoplankton community related to nutrient levels. Our finding may help managers to set trade-off targets between FD and RUE in lake ecosystems except for extremely polluted ones, in which the thresholds derived from the Bayesian network, of total phosphorus, total nitrogen and land-use intensity were approximately 0.04 mg/L, 0.50 mg/L and 244 (unitless), respectively. The probability of meeting the RUE objectives was lower in shallow lakes than in deep lakes, but for FRic the opposite was observed.
生物多样性-生态系统在多种压力下的功能关系最近成为广泛研究的主题。对于水生生态系统中的关键初级生产者浮游植物,已有几项研究侧重于基于特征的功能多样性(FD)和相关功能(例如资源利用效率,RUE)及其联系。然而,对不同层次(例如土地利用、湖泊形态、气候和养分)的环境因素对 FD 和 RUE 的影响的调查很少。我们开发了一个数据驱动的模型框架,该框架可以根据中国西南地区 68 个云贵高原湖泊的数据,同时阐明多种驱动因素对浮游植物 FD(基于树状图的功能多样性,FDc 和功能丰富度,FRic)和 RUE(氮和磷)的影响。我们发现,总磷浓度主要受土地利用强度的影响,受水深的影响,是 FDc 和 FRic 变化的主要(正)驱动因素,而 RUE 主要由浮游植物 FD 解释(即 FRic)。这些结果表明,水深和土地利用强度间接影响浮游植物 FD,并进一步调节 RUE。此外,我们发现 RUE 与 FRic 之间存在非线性相关关系,这可能是由于与营养水平有关的浮游植物群落的种间竞争和生态位分化所致。除了污染极其严重的湖泊外,我们的发现可能有助于管理者在湖泊生态系统中设定 FD 和 RUE 之间的权衡目标,在这些湖泊中,贝叶斯网络得出的总磷、总氮和土地利用强度的阈值分别约为 0.04mg/L、0.50mg/L 和 244(无量纲)。与深湖相比,浅湖满足 RUE 目标的可能性较低,但 FRic 则相反。