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作 者:许笑笑 郑冬梅[1,2,3] 李新宇 王玉琦 郑美洁 XU Xiao-xiao;ZHENG Dong-mei;LI Xin-yu;WANG Yu-qi;ZHENG Mei-jie(School of Environment,Shenyang University,Shenyang 110044,Liaoning,China;Key Laboratory of Regional Pollution Environment Ecological Remediation,Ministry of Education,Shenyang University,Shenyang 110044,Liaoning,China;Northeast Geological Science and Technology Innovation Center,Shenyang 110034,Liaoning,China)
机构地区:[1]沈阳大学环境学院,辽宁沈阳110044 [2]沈阳大学区域污染环境生态修复教育部重点实验室,辽宁沈阳110044 [3]东北地质科技创新中心,辽宁沈阳110034
出 处:《湿地科学与管理》2023年第2期8-13,共6页Wetland Science & Management
基 金:国家自然科学基金项目(41571085);中国地质调查局东北地质科技创新中心区创基金项目(QCJJ 2022-25)。
摘 要:为探究辽河口湿地景观格局演变对水文连通性的影响,以1985—2020年间辽河口湿地4期遥感影像为对象提取湿地典型景观。采用景观格局指数法计算景观格局指数,分析35年间辽河口湿地景观格局演变;利用水文连通性指数评估湿地水文连通性;皮尔逊相关性分析法探究景观格局演变驱动下湿地水文连通性变化。结果表明:芦苇田、水稻田和养殖场景观趋于破碎、形状不规则、景观格局分散;翅碱蓬和河流较破碎;滩涂边界形状趋于复杂,景观格局更聚集和紧凑;建筑景观形状趋于规则,但较离散。湿地水文连通性较差,且逐期降低。河流景观景观类型的比例指数(PLAND)与可能连通性指数(PC)呈显著正相关,滩涂景观的散布与并列指数(IJI)与PC呈极显著正相关。In order to investigate the influence of landscape pattern evolution on hydrological connectivity of Liaohe estuary wetlands,we selected four periods of remote sensing images of Liaohe estuary wetlands from 1985 to 2020 and extracted typical landscapes of the wetlands.Then we used the landscape pattern index method to analyze the evolution of 35-year landscape pattern of the Liaohe estuary wetlands,the hydrological connectivity index to assess the hydrological connectivity of wetlands,and the Pearson correlation analysis to investigate the changes in hydrological connectivity of wetlands driven by the landscape pattern evolution.The results showed that reed fields,rice fields and farm landscapes tended to be fragmented,irregularly shaped and with dispersed landscape patterns;winged alkali ponds and rivers are fragmented;beach boundaries tended to have complex shapes and more aggregated and compact landscape patterns;and buildings tended to have regular but more discrete shapes.The hydrological connectivity of the wetlands in Liaohe estuary from 1985 to 2020 was poor and decreased from period to period.The PLAND index of rivers had a significant positive correlation with the PC index;the IJI index of mudflats had a highly significant positive correlation with the PC index.
分 类 号:P901[天文地球—自然地理学]
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