Xuekai Feng , Kejian He , Changming Chen , Yu Han , Yuan He , Xingcan Chen , Liqin Yan , Yuelian Xu
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Unraveling the complex dynamics of benthic algae in the Red River Basin: A comparative study
Benthic algae, as critical primary producers in fluvial ecosystems, exhibit distinct responses to environmental gradients across heterogeneous river systems. This comparative study analyzed three tributaries in the Red River Basin—Lixian River (LXR, pristine), Yuanjiang River (YR, anthropogenically disturbed), and Panlong River (PLR, karst-influenced)—to identify key drivers of algal community structure. Results revealed nitrogen (NH₄+-N) as the primary density regulator in LXR, while substrate heterogeneity and hydrological stability governed diversity (H′) and evenness (J'). In nutrient-enriched YR, total phosphorus (TP) dominated algal density, with diversity suppressed by eutrophication indicators (TP, Chl-a) and physical factors (depth, DO). PLR's calcium-rich karst environment promoted filamentous algal dominance, where density correlated with NH₄+-N and current velocity, serving as a proxy for benthic diversity (H′-J': R2 > 0.75). Basin-wide analysis demonstrated nitrogen's outsized influence over phosphorus, with geochemical factors (e.g., Ca2+) emerging as critical modulators of algal resilience in karst systems. These findings highlight the spatial variability of algal-environment interactions, emphasizing the need for basin-specific management strategies that account for both anthropogenic pressures and geomorphic contexts.
期刊介绍:
The journal Ecological Informatics is devoted to the publication of high quality, peer-reviewed articles on all aspects of computational ecology, data science and biogeography. The scope of the journal takes into account the data-intensive nature of ecology, the growing capacity of information technology to access, harness and leverage complex data as well as the critical need for informing sustainable management in view of global environmental and climate change.
The nature of the journal is interdisciplinary at the crossover between ecology and informatics. It focuses on novel concepts and techniques for image- and genome-based monitoring and interpretation, sensor- and multimedia-based data acquisition, internet-based data archiving and sharing, data assimilation, modelling and prediction of ecological data.