Characteristics of Changes in Typical Mountain Wetlands in the Middle and High Latitudes of China over the Past 30 Years

Land Pub Date : 2024-07-24 DOI:10.3390/land13081124
Nana Luo, Rui Yu, B. Wen
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Abstract

Analysis of the driving mechanisms of wetland change can help identify spatial differences in the mechanisms affecting various elements, enabling a more scientific approach to the conservation and utilization of wetlands. This study investigated the impacts of natural and anthropogenic factors on the spatiotemporal evolution of the Altay and Greater and Lesser Khingan Mountains areas using Landsat satellite image data from 1980 to 2018 and fieldwork data from 2019 to 2020. A transfer matrix, correlation analysis, and dynamic characteristics were applied to calculate and analyze the transformation types and areas of wetland resources across all consecutive periods. Finally, the dominant factors influencing the spatiotemporal evolution of the wetland were explored and revealed using the drought index (Standardized Precipitation Index, SPEI) and statistical almanacs. The results showed: (1) From 1980 to 2018, the wetlands area in the Altay Mountains exhibited a decreasing trend, whereas the wetlands area in the Greater and Lesser Khingan Mountains showed an increasing trend. The primary type of wetland transfer in the Altay Mountains was grassland, whereas in the Greater and Lesser Khingan Mountains regions, the primary types of wetland transfer were grassland and forestland. The wetlands area transferred out of the Altay Mountain region was larger than the area of wetland types transferred into during 2010–2018, whereas the wetland areas of the Greater and Lesser Khingan Mountain areas showed the opposite trend. (2) From 1980 to 2018, the wetland ecosystem types in the Altay Mountains exhibited the highest dynamic and conversion degrees of the channels. Similarly, the mountain areas of the Greater Khingan Mountains showed the highest dynamic and conversion degrees of marshes and channels among the wetland types. In addition, the mountainous areas of the Lesser Khingan Mountains showed the highest dynamic and conversion degrees for reservoirs and rivers. (3) Natural driving factor analysis revealed that the SPEI values in the Altay Mountains and the Greater and Lesser Khingan Mountains areas exhibited an increasing trend, indicating that the climate has been warm and humid over the past 30 years and that the expansion of cropland and human-made wetland areas has been significantly influenced by human activities. Therefore, the wetland areas of the Greater and Lesser Khingan Mountains in the northeast are strongly influenced by human activities, whereas the wetland in the Altay Mountains in the northwest is strongly influenced by the climate.
过去 30 年中国中高纬度典型山地湿地的变化特征
分析湿地变化的驱动机制有助于识别影响各要素机制的空间差异,从而以更科学的方法保护和利用湿地。本研究利用1980年至2018年的Landsat卫星影像数据和2019年至2020年的野外调查数据,研究了自然因素和人为因素对阿勒泰地区和大小兴安岭地区时空演变的影响。运用转移矩阵、相关分析和动态特征等方法,计算分析了各连续时期湿地资源的转化类型和面积。最后,利用干旱指数(标准化降水指数,SPEI)和统计年鉴,探讨并揭示了影响湿地时空演变的主导因素。结果表明(1)1980-2018 年,阿勒泰山脉湿地面积呈减少趋势,而大小兴安岭湿地面积呈增加趋势。阿勒泰山区湿地转移的主要类型是草地,而大、小兴安岭地区湿地转移的主要类型是草地和林地。2010-2018年,阿勒泰山区转出的湿地面积大于转入的湿地类型面积,而大兴安岭地区和小兴安岭地区的湿地面积呈相反趋势。(2)1980-2018 年,阿勒泰山区湿地生态系统类型表现出最高的动态变化度和通道转换度。同样,在湿地类型中,大兴安岭山区的沼泽和河道的动态变化程度和转化程度最高。此外,小兴安岭山区的水库和河流的动态度和转换度也最高。(3) 自然驱动因子分析显示,阿勒泰山区和大小兴安岭地区的 SPEI 值呈上升趋势,表明近 30 年来气候温暖湿润,耕地和人工湿地面积的扩大受到人类活动的显著影响。因此,东北部大、小兴安岭地区的湿地受人类活动影响较大,而西北部阿勒泰山脉的湿地受气候影响较大。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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