Hydrological Drivers for the Spatial Distribution of Wetland Herbaceous Communities in Poyang Lake
- 1Forschungszentrum Jülich, Institute of Bio- and Geosciences Agrosphere (IBG-3), Jülich, Germany (wenqinhuang1994@gmail.com; c.montzka@fz-juelich.de; r.bol@fz-juelich.de)
- 2Nanjing Hydraulic Research Institute, Nanjing, China (tfhu@nhri.cn)
- 3College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing, China (wenqinhuang@hhu.edu.cn; maojq@hhu.edu.cn; dai_huichao@hhu.edu.cn)
- 4School of Natural Sciences, Environment Centre Wales, Bangor University, Bangor LL57 2UW, UK (r.bol@fz-juelich.de)
- 5Jiangxi Poyang Lake Nanji Wetland National Nature Reserve Authority, Nanchang 330038, China (wansx@126.com; jianxin_li_jx@outlook.com)
- 6School of Agriculture and Horticulture, Chengdu Agricultural College, Chengdu 611130, China (yj18482131527@163.com)
Hydrological processes are known as major driving forces in structuring wetland plant communities, but the specific relationships are not always well understood. The recent dry conditions of Poyang Lake (i.e., the largest freshwater lake in China) are having a profound impact on its wetland vegetation, leading to the degradation of the entire wetland ecosystem. We developed an integrated framework to quantitatively investigate the relationship between the spatial distribution of major wetland herbaceous communities and the hydrological regimes of Poyang Lake. First, the wetland herbaceous community classification was built using a support-vector machine and simultaneous parameter optimization, achieving an overall accuracy of over 98%. Secondly, based on the inundation conditions since 2000, four hydrological drivers of the spatial distribution of these communities were evaluated by canonical correspondence analysis. Finally, the hydrological niches of the communities were quantified by Gaussian regression and quantile methods. The results show that there were significant interspecific differences in terms of the hydrological niche. For example, Carex cinerascens Ass was the most adaptable to inundation, while Triarrhena lutarioriparia + Phragmites australis Ass was the least. Our integrated analytical framework can contribute to hydrological management to better maintain the wetland plant community structure in the Poyang Lake area.
How to cite: Huang, W., Hu, T., Mao, J., Montzka, C., Bol, R., Wan, S., Li, J., Yue, J., and Dai, H.: Hydrological Drivers for the Spatial Distribution of Wetland Herbaceous Communities in Poyang Lake, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-2406, https://doi.org/10.5194/egusphere-egu23-2406, 2023.