随着全球气候变化和人类活动的加剧，湿地生态系统面临着前所未有的挑战。鄱阳湖作为中国最大的淡水湖，其洪泛湿地的水文连通性对气温、降水等气象指标的响应特征研究具有重要意义。本研究采用ArcGIS软件中的Conefor Sensinode 2.2（CS22）插件，对鄱阳湖洪泛湿地在不同时间尺度上的水文连通性进行了定量计算，并利用SPSS软件计算了水文连通性与水位、水域面积和其他关键气象指标（如降水量、气温等）之间的相关性。研究结果表明，鄱阳湖洪泛湿地的水文连通性在丰水期和枯水期表现出显著的时间特征差异，且与水域面积有显著的相关性，与降水量、气温、年均水位等指标显著性突出，为非线性绳套关系。此外，人类活动如三峡工程的建立和大规模采砂活动对水文连通性也产生了显著影响。本研究对未来进一步的研究提供可能的发展方向，并为鄱阳湖湿地生态系统的保护和管理提供了科学依据。

Wetland ecosystems are encountering unprecedented challenges due to the exacerbation of global climate change and human activities. Poyang Lake, as the largest freshwater lake in China, is of significant importance for the study of hydrological connectivity responses to meteorological indicators such as temperature and precipitation. In this research, we utilized the Conefor Sensinode 2.2 (CS22) plugin within the ArcGIS software to perform quantitative calculations of hydrological connectivity in the floodplain wetlands of Poyang Lake across various temporal scales. Additionally, we employed SPSS software to calculate the correlations between hydrological connectivity and key meteorological indicators, including water level, water area, and others such as precipitation and temperature.

The study's findings reveal that the hydrological connectivity of Poyang Lake's floodplain wetlands exhibits significant temporal characteristic differences between the flood and dry seasons and is markedly correlated with water area. Moreover, there is a pronounced significance in the nonlinear hysteresis relationship with indicators such as precipitation, temperature, and mean annual water level. In addition, human activities, including the establishment of the Three Gorges Dam and large-scale sand mining operations, have also had a notable impact on hydrological connectivity. This study provides potential directions for future research and offers a scientific basis for the conservation and management of the Poyang Lake wetland ecosystem.