中国天津滨海湿地时空变化及影响因素分析

IF 2.1 4区 环境科学与生态学 Q3 ECOLOGY
Shuling Yu, Maihemutijiang Mijiti, Min Song, Jingxuan Xu, Dongfang Yuan, Wei Xu
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引用次数: 0

摘要

滨海湿地是世界上最受威胁的生态系统之一,气候变化和人为因素对滨海湿地分布变化的影响一直是近年来研究的热点。然而,在过去的 30 年中,人们还没有利用地理空间数据对中国滨海湿地面积的多年代际变化趋势及其影响因素进行全面研究。气候变化和人为因素对滨海湿地面积时空变化的相对贡献也有待描述。在本研究中,我们利用遥感和地理信息系统技术、皮尔逊相关分析、相对权重法和土地扩展提取模块、斑块生成土地利用模拟(PLUS)模型的土地扩展分析战略(LEAS)模型,讨论了中国发展最快的地区之一天津的滨海湿地面积变化及其背后的原因。结果表明,湿地总面积从 1984 年的 2233.59 平方公里下降到 2020 年的 1742.73 平方公里。我们的结论是,非湿地土地类型的扩展是自然湿地面积减少的主要驱动力,在此期间,有 830.86 平方公里的自然湿地被转化为非湿地。大面积的浅水区和潮汐沼泽地转化为建筑用地和裸露土地,尤其凸显了城市化和海岸填海在湿地减少中的主要作用。结果表明,自然湿地面积的时间变化与人口密度(PD)、国内生产总值(GDP)、年平均气温(AMT)、平均相对湿度(ARH)以及第一产业(PI)、第二产业(SI)和第三产业发展(TI)相关。PD、PI、TI、GDP、SI、AMT 和 ARH 分别占湿地面积减少的 24.47%、18.21%、15.74%、14.16%、12.77%、7.09% 和 4.86%。PD、居民点距离 (DS)、铁路距离 (DRW)、AMT、河流距离 (DR) 和 GDP 分别占天然湿地面积空间变化的 17.61 %、14.27 %、13.83 %、13.62 %、12.07 % 和 10.92 %,这表明人为变量对天然湿地面积的时空影响占主导地位。我们的研究结果对于识别沿岸湿地的动态时空变化具有重要价值,有助于提高我们对气候变化和人类活动对沿岸湿地影响的认识,有助于未来湿地的保护和恢复。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spatio-temporal variations and influencing factors analysis of coastal wetlands in Tianjin, China

Coastal wetlands are one of the world’s most threatened ecosystems and the influences of climate change and anthropogenic factors on changes in coastal wetland distribution have been the subject of active research in recent years. However, the multi-year intergenerational trends in coastal wetland areas, and the factors influencing them in China have not been fully studied using geographic spatial data during the past 30 years. The relative contributions of climate change and anthropogenic factors to spatio-temporal variations in coastal wetland area also remain to be described. In this study, we discuss changes in the coastal wetland areas and the reasons behind them in Tianjin, which is one of China’s fastest developing regions, using remote sensing and geographic information system technology, Pearson correlation analysis, the relative weight method and the land expansion extraction module, the land expansion analysis strategy (LEAS) model of the Patch-generated Land Use Simulation (PLUS) model. The results showed that the total wetland area declined from 2233.59 km2 in 1984 to 1742.73 km2 in 2020. We conclude that the expansion of non-wetland land types is the main driver of natural wetland area decrease, with 830.86 km2 of natural wetlands having been converted to non-wetlands during this period. The large areas of shallow water and tidal marsh that have been converted to construction and bare land particularly emphasize the primary importance of urbanization and coastal reclamation in driving wetland reduction. The results showed that the temporal variation of natural wetlands area was correlated with population density (PD), total gross domestic product (GDP), annual mean temperature (AMT), average relative humidity (ARH), and primary (PI), secondary (SI), and tertiary industrial development (TI). PD, PI, TI, GDP, SI, AMT, and ARH contributed to 24.47 %, 18.21 %, 15.74 %, 14.16 %, 12.77 %, 7.09 %, and 4.86 % of the wetland area decrease, respectively. PD, distance to settlements (DS), distance to railways (DRW), AMT, distance to rivers (DR), and GDP contributed 17.61 %, 14.27 %, 13.83 %, 13.62 %, 12.07 %, and 10.92 % of the spatial variations of natural wetland area, respectively, which showing the predominant effects of anthropogenic variables on the spatio-temporal natural wetland areas. Our results are valuable in identifying the dynamic spatio-temporal variations in coastal wetlands to improve our understanding of the impacts of climate change and human activities on coastal wetlands to help in the future protection and restoration of wetlands.

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来源期刊
Regional Studies in Marine Science
Regional Studies in Marine Science Agricultural and Biological Sciences-Ecology, Evolution, Behavior and Systematics
CiteScore
3.90
自引率
4.80%
发文量
336
审稿时长
69 days
期刊介绍: REGIONAL STUDIES IN MARINE SCIENCE will publish scientifically sound papers on regional aspects of maritime and marine resources in estuaries, coastal zones, continental shelf, the seas and oceans.
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