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<p>Riparian zones, serving as critical ecological transition zones between aquatic and terrestrial ecosystems, are pivotal for sustaining biophysical equilibrium and ecosystem resilience. However, intensive anthropogenic activities (e.g., land conversion, resource extraction) have led to severe degradation of these wetland ecosystems. In this study, ‌combining high-resolution unmanned aerial vehicle imagery (DJI Mavic 3E) with ground surveys, we classified riparian vegetation and analyzed the distribution characteristics across six representative river reaches along the Nanliu River in Guangxi, China. Using an object-based image analysis (OBIA) framework combined with a Random Forest Classifier, high-precision vegetation classification was achieved, with Kappa coefficients (0.76–0.82) indicating strong agreement with ground reference data. Results revealed that the vegetation structure was characterized by a predominance of herbaceous species (65% of total cover), complemented by shrubs and trees (35%), exhibiting distinct zonation patterns along the fluvial-perpendicular gradient. Non-metric multidimensional scaling (NMDS) analysis and Permutational Multivariate Analysis of Variance (PERMANOVA) test (<i>F</i> = 3.68, <i>p</i> &lt; 0.05) showed that there were significant differences in plant composition among the six selected reaches’ riparian zones. Furthermore, invasive species (<i>Mikania micrantha</i> Kunth in Humb. &amp; al., <i>Alternanthera philoxeroides</i> (Mart.) Griseb. etc.) were identified, posing significant ecological risks to native plant communities and ecosystem functionality. This study provides a detailed characterization of the current vegetation composition and spatial dynamics in the Nanliu River riparian corridors, offering empirical insights for targeted ecological management strategies to enhance plant conservation and guide sustainable ecosystem restoration efforts.</p>

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A study on the classification and distribution characteristics of riparian vegetation at reach scales in the Nanliu River, China

  • 期刊论文

  • 发表日期：

    2025年11月8日

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  • Longsheng Yang,
  • Yuwen Qin,
  • Yinjun Zhao,
  • Liangsuo Ren

摘要

Riparian zones, serving as critical ecological transition zones between aquatic and terrestrial ecosystems, are pivotal for sustaining biophysical equilibrium and ecosystem resilience. However, intensive anthropogenic activities (e.g., land conversion, resource extraction) have led to severe degradation of these wetland ecosystems. In this study, ‌combining high-resolution unmanned aerial vehicle imagery (DJI Mavic 3E) with ground surveys, we classified riparian vegetation and analyzed the distribution characteristics across six representative river reaches along the Nanliu River in Guangxi, China. Using an object-based image analysis (OBIA) framework combined with a Random Forest Classifier, high-precision vegetation classification was achieved, with Kappa coefficients (0.76–0.82) indicating strong agreement with ground reference data. Results revealed that the vegetation structure was characterized by a predominance of herbaceous species (65% of total cover), complemented by shrubs and trees (35%), exhibiting distinct zonation patterns along the fluvial-perpendicular gradient. Non-metric multidimensional scaling (NMDS) analysis and Permutational Multivariate Analysis of Variance (PERMANOVA) test (F = 3.68, p < 0.05) showed that there were significant differences in plant composition among the six selected reaches’ riparian zones. Furthermore, invasive species (Mikania micrantha Kunth in Humb. & al., Alternanthera philoxeroides (Mart.) Griseb. etc.) were identified, posing significant ecological risks to native plant communities and ecosystem functionality. This study provides a detailed characterization of the current vegetation composition and spatial dynamics in the Nanliu River riparian corridors, offering empirical insights for targeted ecological management strategies to enhance plant conservation and guide sustainable ecosystem restoration efforts.