摘要
珠江口沿岸是我国乃至全球人口最密集、经济最活跃、资源消耗最庞大的大型河口海岸带地区之一,面临着过度围垦、功能退化以及资源衰减等诸多问题,给区域生态平衡和高质量发展造成严重威胁。传统遥感处理平台载荷有限导致中、大尺度地区影像处理的一致性较差引致地物分类结果精度不高。文章基于Google Earth Engine(GEE)云平台解译形成2000—2020年共5期的土地利用类型数据,总体精度介于86.27%~90.15%;其次,综合运用土地利用转移矩阵和动态度定量分析珠江口沿岸土地利用转变的时空特征;最后,基于最优参数的地理探测器定量揭示珠江口沿岸景观演变过程的影响机制。结果表明:(1)近20年来珠江口沿岸景观格局频繁转变,其综合动态度介于2.66%~3.62%。珠江口西翼区域林地和耕地类型间发生剧烈转变,而珠江口东翼区域建设用地保持强劲增长;(2)珠江口沿岸景观演变地理探测的最优参数等级划分为9~15类,且影响因子地理探测的最佳空间尺度阈值为90 m×90 m;(3)不同阶段珠江口沿岸景观格局演变过程均受自然、人为双重因素影响,双因子交互作用的驱动力明显高于单因子驱动力,且以双因子增强或非线性增强关系为主,其中GDP变化与气温变化的交互作用对2000—2005年红树林变化的贡献最大,q值为0.345。研究揭示珠江口沿岸未来资源规划利用与综合治理必须足够重视景观斑块的尺度效应,量化探测GDP与其它因子间的交互作用处于主导地位,权衡湾区经济快速增长与区域生态环境的协调关系,促进粤港澳大湾区高质量发展。
The coast of Pearl River estuary is one of the most densely populated,economically active,and resourceintensive large-scale estuarine coastal zone in China and the world.It is facing many problems such as excessive reclamation,functional degradation,and resource attenuation,which poses a serious threat to regional ecological balance and high-quality development.Due to the limited load of traditional remote sensing processing platform,the consistency of image processing in medium and large scale areas is poor,resulting in low accuracy of ground object classification results.Based on the Google Earth Engine(GEE)cloud platform,five periods of land use type data were obtained from 2000 to 2020,with the total accuracy ranging from 86.27%to 90.15%.Secondly,land use transfer matrix and dynamic degree are used to describe the temporal and spatial characteristics of land use transition in the coast of Pearl River Estuary.Finally,the influence mechanism of landscape evolution in the Pearl River Estuary is quantitatively revealed by using the optimal parameter geographic detector the geographic detector.The results are as follows:(1)The coastal landscape pattern of the Pearl River Estuary altered frequently over the past twenty years,with the comprehensive dynamic degree ranging from 2.66%to 3.62%.The dramatically shift between forest and cultivated land was observed in the western coast of the Pearl River Estuary,while the strong growth of construction land was mainly detected in the eastern coast of the Pearl River Estuary.(2)The optimal parameters of geographic detection of coastal landscape evolution in the Pearl River Estuary could be divided into 9~15 categories,and the optimal spatial scale threshold of geographical detection of impact factors was 90 m×90 m.(3)The coastal landscape evolution pattern of the Pearl River Estuary suffered from both natural and anthropogenic factors at different periods.The driving force of the two-factor interaction was significantly higher than that of the single-factor driving force,showing a two-factor enhancement effect or nonlinear enhancement.And the interaction between GDP variation and temperature variation,with a q value of 0.345,contributed the most to the change of mangrove forest from 2000 to 2005.The study revealed that future resource planning and utilization and comprehensive management of the Pearl River Estuary coastal zone should be paid enough attention to the scale effect of landscape patches.In addition,quantitative detection of interaction between GDP and other factors was in the primary determinants of land use change.To balance the coordination relationship between the rapid economic growth and the regional ecological environment,and promote the high-quality development of the Guangdong-Hong Kong-Macao Greater Bay Area.
作者
陈康林
陈思凯
龚建周
CHEN Kanglin;CHEN Sikai;GONG Jianzhou(School of Geography and Remote Sensing,Guangzhou University,Guangzhou 510006,China)
出处
《华南地理学报》
2023年第3期10-24,共15页
South China Geographical Journal
基金
国家自然科学基金项目(42201104,42071123)
中国博士后面上基金项目(2023M730758)
关键词
土地利用变化
尺度阈值
最优参数地理探测器
驱动机制
珠江口沿岸
land use change
scale threshold
optimal parameter geographic detector
driving mechanism
coast of the pearl river estuary
作者简介
陈康林(1990—),男,广东茂名人,博士后,研究方向为河口海岸带动力地貌过程、滨海湿地动态监测及生态系统服务功能。E-mail:chenkanglin68@163.com;通信作者:龚建周(1970—),女,湖北恩施人,博士,教授,硕士生导师,主要从事城市生态环境与土地系统评估。E-mail:gongjzh66@126.com
