4.7 Article

Impacts of environmental factors on the food web structure, energy flows, and system attributes along a subtropical urban river in southern China

期刊

SCIENCE OF THE TOTAL ENVIRONMENT
卷 794, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.scitotenv.2021.148673

关键词

Ecopath; Longgang River; Ecotrophic efficiency; Transfer efficiency; Biological indicators; Habitat characteristics; River management

资金

  1. National Natural Science Foundation of China [51909107]
  2. Hainan University Start-up Funding for Scientific Research [KYQD[ZR]-21033, KYQD[ZR]-21015]
  3. Key Research Program of Frontier Sciences, CAS [QYZDB-SSW-SMC041]
  4. Project of Gehu Lake Fisheries Administration Committee Office of Jiangsu Province [2021-0039]
  5. China Postdoctoral Science Foundation [2019M653284]

向作者/读者索取更多资源

Research on tropical and subtropical rivers has shown that the differences in environmental conditions and human disturbances lead to distinct characteristics in river ecosystems along a longitudinal gradient. Factors such as water quality, habitat characteristics, and biological indicators have significant impacts on the health and maturity of river ecosystems, providing a cost-effective approach to improve system-level functioning through monitoring these representative environmental factors.
Tropical and subtropical rivers are being subjected to multiple stressors from human disturbance (e.g., water pollution and habitat degradation). Understanding the relationship between environmental conditions and the river ecosystem is important for improving river management. We built 14 Ecopath models composed of 28 functional groups (trophic levels [TLs] of 1.0-3.8) along a subtropical urban river to explore the influence of environmental changes on system attributes. From headwaters to downstream, the model outputs showed that the transfer efficiency (TE), energy flow parameters, and ecosystem theory indices exhibited significant (P < 0.05) differences across a longitudinal gradient of disturbance, indicating heterogeneous attributes of local river segments. The high TE values of TLs I, II, and III separated the upper, middle, and lower reaches, respectively, which could be attributed to the shift in dominant consumption flows from upstream 'periphyton - aquatic insects - insectivorous fish' to midstream 'detritus - shrimp - crustaceavorous fish' and to downstream 'phytoplankton - filter feeding invertebrates/fish'. Structural equation modelling was used to test the causal relationships among environmental variables and demonstrated that abiotic factors directly influenced biomass composition and indirectly influenced trophic networks. Water quality, including dissolved oxygen and flow velocity; habitat characteristics, such as riffles, cobble-gravel substrate, and seasonal floodplain; and biological indicators, including the relative contributions (%) of decapods, insectivorous fish, and insect scrapers to biomass composition, had significant (P < 0.05) positive impacts on system maturity (evaluated by omnivory, connectance, and cycling indices). In the future, it will be possible to evaluate the health of river ecosystems by monitoring representative environmental factors, which could be a cost-effective approach to system-level improvement. (c) 2021 Elsevier B.V. All rights reserved.

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