流量调节下河湖交错带食物网的空间异质性——以华北地区为例

IF 6 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES
W. Yang, X. Fu, X. X. Li, B. Cui, X. Yin
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引用次数: 0

摘要

河湖交错带支持多种水生生物,但其食物网结构和拓扑结构尚不清楚。白洋淀是中国北方最大的浅湖,依赖外部环境流动,其中富河提供了最稳定的供水。在这里,我们使用稳定同位素和拓扑分析,利用2018年至2019年的野外调查数据,沿着空间梯度探索食物网结构。4种生态系统类型(河流、河口、湖口、湖泊)的碳氮稳定同位素和食物网结构与环境因子相关。碎屑、浮游植物和浮游动物的δ13C值沿河流到湖泊的梯度逐渐减少,而淹没植物的δ13C值在过渡带中比在河流和湖泊中更丰富。湖口和河口的基础资源和浮游动物δ15N值较高。食用鱼以杂食性鱼类居多,其中江源半盲鱼(营养级[TL] = 3.85±0.89)和河口小伪鱼(营养级[TL] = 4.54±0.58)。肉食性大红血菌(Erythroculter dabryi)在河口和湖泊的TL最高,分别为3.61±0.36和4.46±0.36。这些结果共同导致了从河流到湖泊的梯度从以碎屑为基础到以浮游植物为基础的食物网的变化。湖泊的物种丰富度、营养环数、环密度和平均食物链长度最大,其次是河口,河流最小。我们的研究结果为过渡带生态系统及其食物网提供了一个整体的视角,表明它比相邻的河流生态系统(而不是相邻的湖泊生态系统)支持更多样化的物种组合和更复杂的食物网结构。因此,管理应强调水文制度改变和水质差对过渡带食物网的综合影响,以更可持续地管理河流和湖泊。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spatial Heterogeneity of Food Webs in A River-Lake Ecotone under Flow Regulation – A Case Study in Northern China
The river–lake ecotone supports diverse aquatic life, but its food web structure and topology are poorly understood. Baiyangdian Lake, northern China’s largest shallow lake, depends on external environmental flows, of which the Fu River provides the most stable water supply. Here, we used stable isotopes and topological analysis to explore the food web structure along a spatial gradient using data from field surveys from 2018 to 2019. Carbon and nitrogen stable isotopes and the food web structure were associated with environmental factors for four ecosystem types (river, river mouth, lake mouth, lake). Detritus, phytoplankton, and zooplankton δ13C values became more depleted along the gradient from the river to the lake, whereas δ13C of submerged macrophytes was enriched in the ecotones compared to the river and lake. Higher δ15N values for basal resources and zooplankton occurred at the lake mouth and river mouth. The top consumers were omnivorous fish: Hemiculter leucisculus (trophic level [TL] = 3.85 ± 0.89) in the river and Pseudorasbora parva (TL = 4.54 ± 0.58) in the river mouth. Carnivorous Erythroculter dabryi occupied the highest TL (3.61 ± 0.36 and 4.46 ± 0.36, respectively) in the lake mouth and lake. These results together led to a change from a detritus-based to phytoplankton-based food web along the gradient from the river to the lake. The species richness, number of trophic links, link density, and mean food chain length all are greatest in the lake, followed by the lake mouth, and the lowest were in the river. Our results provide a holistic view of the ecotone ecosystem and its food web, suggesting that it supports a more diverse species assemblage and more complex food web structure than the adjacent river ecosystem, rather than the adjacent lake ecosystem. Therefore, management should emphasize the combined effects of altered hydrological regimes and poor water quality on the ecotone food webs to manage the river and lake more sustainably.
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来源期刊
Journal of Environmental Informatics
Journal of Environmental Informatics ENVIRONMENTAL SCIENCES-
CiteScore
12.40
自引率
2.90%
发文量
7
审稿时长
24 months
期刊介绍: Journal of Environmental Informatics (JEI) is an international, peer-reviewed, and interdisciplinary publication designed to foster research innovation and discovery on basic science and information technology for addressing various environmental problems. The journal aims to motivate and enhance the integration of science and technology to help develop sustainable solutions that are consensus-oriented, risk-informed, scientifically-based and cost-effective. JEI serves researchers, educators and practitioners who are interested in theoretical and/or applied aspects of environmental science, regardless of disciplinary boundaries. The topics addressed by the journal include: - Planning of energy, environmental and ecological management systems - Simulation, optimization and Environmental decision support - Environmental geomatics - GIS, RS and other spatial information technologies - Informatics for environmental chemistry and biochemistry - Environmental applications of functional materials - Environmental phenomena at atomic, molecular and macromolecular scales - Modeling of chemical, biological and environmental processes - Modeling of biotechnological systems for enhanced pollution mitigation - Computer graphics and visualization for environmental decision support - Artificial intelligence and expert systems for environmental applications - Environmental statistics and risk analysis - Climate modeling, downscaling, impact assessment, and adaptation planning - Other areas of environmental systems science and information technology.
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