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Relationship between Wetland Plant Communities and Environmental Factors in the Tumen River Basin in Northeast China

Author

Listed:
  • Xiaojun Zheng

    (Graduate School of Environmental Studies, Nagoya University, Furo-cho, Chikusa-ku, Nagoya 4648601, Japan)

  • Jing Fu

    (East China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Shanghai 200090, China)

  • Noelikanto Ramamonjisoa

    (Graduate School of Environmental Studies, Nagoya University, Furo-cho, Chikusa-ku, Nagoya 4648601, Japan)

  • Weihong Zhu

    (Jilin Provincial Joint Key Laboratory of Changbai Mountain Wetland & Ecology, Changchun 130102, China
    Key Laboratory of SFGA (SPA) on Conservation Ecology in the Northeast Tiger and Leopard National Park, Hunchun 133300, China
    Geography Department College of Sciences, Yanbian University, Yanji 133002, China
    State Environmental Protection Key Laboratory of Wetland Ecology and Vegetation Restoration, Northeast Normal University, Changchun 130024, China)

  • Chunguang He

    (State Environmental Protection Key Laboratory of Wetland Ecology and Vegetation Restoration, Northeast Normal University, Changchun 130024, China)

  • Chunyan Lu

    (College of Computer and Information Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China)

Abstract

Understanding what controls wetland vegetation community composition is vital to conservation and biodiversity management. This study investigates the factors that affect wetland plant communities and distribution in the Tumen River Basin, Northeast China, an internationally important wetland for biodiversity conservation. We recorded floristic composition of herbaceous plants, soil properties, and microclimatic variables in 177, 1 × 1 m 2 quadrats at 45 sites, located upstream (26), midstream (12), and downstream (7) of the Basin. We used TWINSPAN to define vegetation communities and canonical correspondence analysis (CCA) to examine the relationships between environmental and biological factors within the wetland plant communities. We recorded 100 plant species from 93 genera and 40 families in the upstream, 100 plant species from 57 genera and 31 families in the midstream, and 85 plant species from 76 genera and 38 families in the downstream. Higher species richness was recorded upstream of the River Basin. The plant communities and distribution were influenced by elevation, soil properties (total potassium, pH, and available phosphorus), and microclimate variables (surface temperature, precipitation, average temperature, sunshine hours, and relative humidity). More than any other factor, according to our results, elevation strongly influenced the structure of wetland plant communities. These findings support prevailing models describing the distribution of wetland plants along environmental gradients. The determination of the relationship between soil and plants is a useful way to better understand the ecosystem condition and can help manage the wetland ecosystem.

Suggested Citation

  • Xiaojun Zheng & Jing Fu & Noelikanto Ramamonjisoa & Weihong Zhu & Chunguang He & Chunyan Lu, 2019. "Relationship between Wetland Plant Communities and Environmental Factors in the Tumen River Basin in Northeast China," Sustainability, MDPI, vol. 11(6), pages 1-23, March.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:6:p:1559-:d:213949
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    References listed on IDEAS

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    1. Matthew L. Kirwan & J. Patrick Megonigal, 2013. "Tidal wetland stability in the face of human impacts and sea-level rise," Nature, Nature, vol. 504(7478), pages 53-60, December.
    2. Bing Li & Zhifeng Liu & Ying Nan & Shengnan Li & Yanmin Yang, 2018. "Comparative Analysis of Urban Heat Island Intensities in Chinese, Russian, and DPRK Regions across the Transnational Urban Agglomeration of the Tumen River in Northeast Asia," Sustainability, MDPI, vol. 10(8), pages 1-16, July.
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    Cited by:

    1. Yu-Chi Chen & Chun-Han Shih, 2019. "Sustainable Management of Coastal Wetlands in Taiwan: A Review for Invasion, Conservation, and Removal of Mangroves," Sustainability, MDPI, vol. 11(16), pages 1-16, August.

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