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Modeling the Spatial Distribution of Three Typical Dominant Wetland Vegetation Species’ Response to the Hydrological Gradient in a Ramsar Wetland, Honghe National Nature Reserve, Northeast China

机译：三个典型主湿地植被物种对水文梯度的回应，洪河国家自然保护区洪河国家自然保护区水文梯度的空间分布

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Abstract: Water level fluctuations resulting from natural and anthropogenic factors have been projected to affect the functions and structures of wetland vegetation communities. Therefore, it is important to assess the impact of the hydrological gradient on wetland vegetation. This paper presents a case study on the Honghe National Nature Reserve (HNNR) in the Sanjiang Plain, located in Northeast China. In this study, 210 plots from 18 sampling line transects were sampled in 2011, 2012, and 2014 along the hydrological gradient. Using a Gaussian logistic regression model, we determined a relationship between three wetland plant species and a hydrologic indicator—a combination of the water level and soil moisture—and then applied that relationship to simulate the distribution of plants across a larger landscape by the geographic information system (GIS). The results show that the optimum ecological amplitude of Calamagrostis angustifolia to the hydrological gradient based on the probability of occurrence model was [0.09, 0.41], that of Carex lasiocarpa was [0.35, 0.57], and that of Carex pseudocuraica was [0.49, 0.77]. The optimum of Calamagrostis angustifolia was 0.25, Carex lasiocarpa was 0.46, and Carex pseudocuraica was 0.63. Spatial distribution probability maps were generated, as were maps detailing the distribution of the most suitable habitats for wetland vegetation species. Finally, the model simulation results were verified, showing that this approach can be employed to provide an accurate simulation of the spatial distribution pattern of wetland vegetation communities. Importantly, this study suggests that it may be possible to predict the spatial distribution of different species from the hydrological gradient.
机译：摘要：预计自然和人为因素产生的水位波动是影响湿地植被社区的功能和结构。因此，重要的是评估水文梯度对湿地植被的影响。本文介绍了在中国东北地区的三江平原鸿海国家自然保护区（HNNR）案例研究。在本研究中，2011年，2012年，2014年，沿水文梯度取样了来自18个采样线横断面的210个曲线。使用高斯逻辑回归模型，我们确定了三种湿地植物种类和水平植物物种之间的关系 - 水位和土壤水分的组合 - 然后应用了这种关系，以模拟地理信息较大景观中的植物分布系统（GIS）。结果表明，基于发生模型概率的CALAMAGRORTIS angustifolia的最佳生态生态幅度为[0.09,0.41]，CAREX LASIOCARPA的概率为[0.35,0.57]，CAREX伪核苷酸为[0.49,0.77] ]。 Calamagrostis Angustifolia的最佳值为0.25，Carex Lasiocarpa为0.46，并且Carex假核菌为0.63。生成空间分布概率图，如地图详细说明了湿地植被物种最适合栖息地的分布。最后，验证了模型仿真结果，表明这种方法可以采用来提供湿地植被社区的空间分布模式的准确模拟。重要的是，该研究表明，可以预测来自水文梯度的不同物种的空间分布。

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