山东黄河三角洲国家级自然保护区湿地恢复区水鸟多样性及其与湿地景观格局关系研究
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1.中国科学院地理科学与资源研究所生态系统网络观测与模拟重点实验室;2.中国科学院大学;3.中国矿业大学资源与地球科学学院;4.国家林业和草原局华东调查规划院;5.北京师范大学环境学院湿地环境保护与生态修复全国重点实验室;6.黄河口湿地生态系统教育部野外科学观测研究站;7.山东黄河三角洲国家级自然保护区管理委员会

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Study on the Waterbird Diversity in the Wetland Restoration Area of the Shandong Yellow River Delta National Nature Reserve and Its Relationship with the Wetland Landscape Pattern
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1.Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Science and Natural Resources Research, Chinese Academy of Sciences;2.University of Chinese Academy of Sciences

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    摘要:

    水文和植被是淡水湿地景观结构的重要组分,黄河水沙变化、淡水输入减少影响了山东黄河三角洲国家级自然保护区(以下简称“自然保护区”)的水鸟多样性。为此,自然保护区已连续多年开展了淡水湿地生态补水工作,调节了水域、浅水分布面积,改善了植物群落组成,但生态补水后水鸟多样性及其与湿地景观格局之间的关系缺乏定量研究。本研究利用2023和2024年野外调查获取的水鸟数据、Sentinel - 2卫星遥感数据及水位监测数据,旨在阐明湿地恢复区的水鸟组成和数量变化,揭示水鸟多样性与湿地景观要素面积的定量关系。结果显示:研究区共记录到水鸟7目15科126种,水鸟物种和个体数量呈明显的月际波动特征,3月和11月是迁徙高峰期;迁徙季物种数量占比以鸭类和鸻鹬类为主,数量占比以鸭类和鹤鹳类为主。自然保护区湿地恢复区十万亩浅水(水深0 - 30 cm)和水域面积最大,其中,浅水面积冬季最大(1888 m2),水域面积春秋季较高(2933 m2)。植被面积呈“夏季扩张、冬季收缩”趋势,2024年较2023年增长26 %。雁类和鸭类数量与水域面积占比和植被面积占比均呈单峰关系,雁类在水域和植被面积比接近2 :1时数量最多(n = 44,df = 40,p < 0.01,R2 = 0.14;n = 44,df = 40,p < 0.01,R2 = 0.28);鸭类在水域和植被面积比接近1.5 :1时数量最多(n = 118,df = 114,p < 0.01,R2 = 0.02;n = 118,df = 114,p < 0.01,R2 = 0.002)。鸻鹬类数量与浅水区域面积占比呈显著正相关关系(n = 24,df = 22,p < 0.05,R2 = 0.29)而与植被面积占比呈显著负相关关系(n = 24,df = 22,p < 0.05,R2 = 0.17)。

    Abstract:

    Hydrology and vegetation are important components of the landscape structure of freshwater wetlands. Changes in the water and sediment regimes of the Yellow River, along with reduced freshwater input, have impacted waterbird diversity in the Shandong Yellow River Delta National Nature Reserve (hereinafter referred to as the "Nature Reserve"). In response, the Nature Reserve has implemented consecutive years of freshwater wetland ecological water supplement projects, regulating the distribution area of open water and shallow water, and improving plant community composition. However, quantitative research on waterbird diversity and its relationship with wetland landscape patterns following this ecological intervention has been lacking. This study utilizes waterbird survey data, Sentinel-2 satellite remote sensing data, and water level monitoring data collected during field investigations in 2023 and 2024. The aim is to elucidate the composition and numerical changes of waterbird communities in the wetland restoration area and to reveal the quantitative relationships between waterbird diversity and the areal extent of key wetland landscape elements. The results showed that a total of 126 waterbird species belonging to 15 families and 7 orders were recorded in the study area. Waterbird species richness and individual abundance exhibited significant monthly fluctuations, with peaks during migration periods in March and November. During migration seasons, ducks and shorebirds dominated in terms of species proportion, while ducks, cranes, and storks dominated in terms of individual abundance. Within the 10,000-mu wetland restoration area of the Nature Reserve, the areas of shallow water (water depth 0-30 cm) and open water were largest. Specifically, the shallow water area was greatest in winter (1888 m2), while the open water area was relatively larger in spring and autumn (2933 m2). The vegetation area exhibited a trend of "expansion in summer, contraction in winter," increasing by 26% in 2024 compared to 2023. The abundance of geese and ducks showed a unimodal relationship with the proportions of both open water area and vegetation area. Goose abundance peaked when the ratio of water area to vegetation area was approximately 2:1 (n = 44, df = 40, p < 0.01, R2 = 0.14; n = 44, df = 40, p < 0.01, R2 = 0.28). Duck abundance peaked when this ratio was approximately 1.5:1 (n = 118, df = 114, p < 0.01, R2 = 0.02; n = 118, df = 114, p < 0.01, R2 = 0.002). The abundance of shorebirds was significantly positively correlated with the proportion of shallow water area (n = 24, df = 22, p < 0.05, R2 = 0.29) but significantly negatively correlated with the proportion of vegetation area (n = 24, df = 22, p < 0.05, R2 = 0.17).

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  • 收稿日期:2025-12-11
  • 最后修改日期:2026-03-18
  • 录用日期:2026-03-19
  • 在线发布日期: 2026-06-09
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