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首页> 外文期刊>Science of the total environment >Spatial-temporal patterns and influencing factors of ecological land degradation-restoration in Guangdong-Hong Kong-Macao Greater Bay Area
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Spatial-temporal patterns and influencing factors of ecological land degradation-restoration in Guangdong-Hong Kong-Macao Greater Bay Area

机译：广东 - 港澳大湾地区广东港澳生态土地退化恢复的空间态度与影响因素

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摘要

Despite the fact that urban agglomerations have undergone extensive ecological land coverage modifications, exploration of the patterns and driving mechanisms associated with ecological land degradation (ELD) and ecological land restoration (ELR) in urban agglomerations is still limited. This study combined remote sensing technology, as well as landscape index and geographical detector to characterize the spatiotemporal patterns of ELD (isolating, adjacent, and enclosing degradation) and ELR (outlying, edge-expansion, and infilling restoration) in the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) from 1990 to 2019. Subsequently, the contributions, interactions, and driver changes were quantified. The results showed an ecological land shift from over-exploitation to balanced co-existence, which was facilitated by a spatiotemporal pattern transition from adjacent degradation-led (1990-2010) to edge-expansion restoration-led (2010-2019). Land urbanization rate and population density showed a stronger promoting effect on ELD than natural factors, while tertiary industry, topography, and soil conditions were more significant in ELR. The factors' nonlinear interaction enhanced the degradation-restoration pattern evolution and continued to increase over time-particularly the interaction between construction land expansion and other drivers. Additionally, from 2010 to 2019,80% of the ELR socio-economic factors turned from negative to positive and gradually became to play a significant role. This study is expected to help ecological protection and restoration planners/managers recognize the factors' interactions and variations, and ultimately improve the ecological network structure that is designed to integrate the city with the ecosystem.
机译：尽管城市群落经历了广泛的生态土地覆盖修改，但仍然有限地有限地探讨与生态土地退化（ELD）和生态土地修复（ELR）相关的模式和驾驶机制。本研究结合了遥感技术，以及景观指数和地理探测器，以表征广东 - 香港（广东 - 香港）的闪电图（隔离，邻近和封闭退化）和ELR（偏远，边缘膨胀和缺陷恢复）的时空模式 - 从1990年到2019年的Macao大湾区（GBA）。随后，量化贡献，互动和司机变化。结果表明，从过度开发到平衡的共存的生态陆地转变，这是通过从相邻的降解LED（1990-2010）到边缘 - 膨胀修复LED（2010-2019）的时空模式转变的促进。土地城市化率和人口密度表现出比自然因素更强的促进效果，而第三产业，地形和土壤条件在ELR中更为显着。因素的非线性相互作用增强了降解恢复模式演化，并继续增加 - 特别是建筑陆膨胀与其他司机之间的相互作用。此外，从2010年到2019,80％的ELR社会经济因素从负面转向积极，逐渐发挥重要作用。本研究预计将帮助生态保护和恢复规划师/管理人员认识到因素的互动和变化，最终改善了旨在将城市与生态系统集成的生态网络结构。

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