Institute for Ecological Research and Pollution Control of Plateau Lakes, School of Ecology and Environmental Sciences, Yunnan University, Kunming 650500, China; College of Life Sciences, Hubei Normal University, Huangshi 435002, China.
College of Fisheries, Huazhong Agricultural University, Wuhan 430070, China.
Water Res. 2022 Oct 15;225:119190. doi: 10.1016/j.watres.2022.119190. Epub 2022 Sep 30.
Many factors have been reported to affect material cycling in lakes, but the combined and cascading impacts of external environmental factors and in-lake biota on lake carbon cycling are poorly understood. We elucidated the influencing pathways of geoclimatic factors, lake morphometry, land-use type, chemical and physical factors, and biological taxa (phytoplankton and macroinvertebrates) on the concentrations of two important components of carbon cycling, i.e., dissolved organic matter (DOM) and methane (CH) based on datasets from 64 plateau lakes in Southwest China. Partial least squares path modelling (PLS-PM) indicated that (1) geoclimatic factors influenced DOM and CH by affecting land use and lake physical factors (e.g., water temperature), (2) lake morphometry (water depth and lake area) had a direct and great negative effect on the CH concentration related to the production and oxidation of CH and affected phytoplankton and macroinvertebrates by influencing chemical and physical factors, (3) land-use type affected DOM and CH concentrations in both direct and indirect ways, (4) terrestrial humic-like DOM was mainly discharged from forestland and also affected by macroinvertebrates, while the impacts of agricultural and construction land on autochthonous DOM and CH concentrations mainly occurred by changing nutrients and then the aquatic biota. Moreover, changes in aquatic biota, primarily affected by water quality, influenced DOM spectral properties, and the two biotas affected DOM and CH concentrations differently. Phytoplankton, especially cyanobacteria contributed to (protein-like and humic-like) DOM in both direct and indirect ways related to eutrophication, whereas macroinvertebrates influenced DOM possibly by utilization, bioturbation, and microbial decomposition of feces according to their different relationships with DOM spectral indices. Additionally, CH production can be enhanced by DOM accumulation, and the significant positive correlations of CH concentrations with protein-like DOM and biological index indicate that autochthonous DOM may play an important role for the CH production. Our findings contribute to the understanding of lake carbon cycling under natural conditions and anthropogenic disturbances.
许多因素已被报道会影响湖泊中的物质循环,但外部环境因素和湖泊生物群落在多大程度上共同且级联地影响湖泊碳循环还知之甚少。我们基于中国西南 64 个高原湖泊的数据,阐明了地球气候因素、湖泊形态、土地利用类型、化学和物理因素以及生物分类群(浮游植物和大型无脊椎动物)对两种重要碳循环成分(即溶解有机物质(DOM)和甲烷(CH))浓度的影响途径。偏最小二乘路径模型(PLS-PM)表明:(1)地球气候因素通过影响土地利用和湖泊物理因素(例如水温)来影响 DOM 和 CH;(2)湖泊形态(水深和湖泊面积)对与 CH 产生和氧化相关的 CH 浓度有直接且巨大的负面影响,并通过影响化学和物理因素来影响浮游植物和大型无脊椎动物;(3)土地利用类型以直接和间接的方式影响 DOM 和 CH 浓度;(4)陆源腐殖质样 DOM 主要来自林地,也受到大型无脊椎动物的影响,而农业和建设用地对自生 DOM 和 CH 浓度的影响主要是通过改变养分,然后影响水生生物群。此外,水生生物群主要受水质影响而发生变化,影响 DOM 光谱特性,这两个生物群对 DOM 和 CH 浓度的影响方式不同。浮游植物,特别是蓝藻,通过与富营养化直接和间接相关的方式,对 DOM(蛋白样和腐殖质样)的产生有贡献,而大型无脊椎动物可能通过利用、生物搅动和粪便微生物分解对 DOM 产生影响,这取决于它们与 DOM 光谱指数的不同关系。此外,DOM 的积累可以增强 CH 的产生,CH 浓度与蛋白样 DOM 和生物指数呈显著正相关,表明自生 DOM 可能对 CH 的产生起着重要作用。我们的研究结果有助于理解自然条件和人为干扰下的湖泊碳循环。