Institute of Geographic Sciences and Natural Resources Research, Key Laboratory of Regional Sustainable Development Modeling, Chinese Academy of Sciences, Beijing 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China.
Institute of Geographic Sciences and Natural Resources Research, Key Laboratory of Regional Sustainable Development Modeling, Chinese Academy of Sciences, Beijing 100101, China.
Sci Total Environ. 2022 Sep 10;838(Pt 2):156158. doi: 10.1016/j.scitotenv.2022.156158. Epub 2022 May 21.
Urban ecological land transitions (UELTs) have far-reaching effects on the thermal environment, but their dynamic effects in urban agglomerations remain poorly understood. This study defines the UELTs concept and quantifies its spatiotemporal effects and driving mechanisms on land surface temperature interdecadal variations (LSTIVs) in the Guangdong-Hong Kong-Macao Greater Bay Area using remote sensing, fuzzy overlay, shape-weighted landscape evolution index, and Geodetector methods. The results showed that UELTs shifted from degradation, increasing pressure, and decreasing vegetation proportion in the central city to scattered restoration, pressure relief, and increasing vegetation proportion in 2010-2020. LSTIVs simultaneously transitioned from rapid growth and contiguous expansion to reduction and dispersion. Moreover, the contribution of UELTs to LSTIVs increased by 19.49% from 2000 to 2020, and gradually shifted from being driven by dominant transition (isolating and adjacent degradation) (mean q = 0.58) to recessive transition (increased population and construction land pressure) (mean q = 0.62), where q is the determinant power. Interactions between edge-expansion and infilling restoration with the blue-green ratio (BGR; i.e., ratio of waterbodies to vegetation), habitat quality, and population layout had significant effects on LSTIVs. In addition, the relative magnitude of the effect of UEL restoration-degradation and BGR on LSTIVs was not fixed, but rather related to their interaction effect and the urban agglomeration development stage. Therefore, in addition to promoting an increase in UEL, optimizing the landscape structure of UEL (e.g., increasing aggregation and connectivity, adjusting BGR) and UEL distribution with other human factors are also crucial to reduce the urban thermal environment.
城市生态用地转变（UELTs）对热环境有深远影响，但城市群中其动态影响仍知之甚少。本研究通过遥感、模糊叠加、形状加权景观演化指数和地理探测器方法，定义了 UELTs 概念，并量化了其时空效应对粤港澳大湾区土地表面温度年际变化（LSTIVs）的影响及其驱动机制。结果表明，UELTs 从中心城区的退化、压力增大和植被比例减少转变为 2010-2020 年的分散式恢复、压力缓解和植被比例增加。同时，LSTIVs 从快速增长和连续扩张转变为减少和分散。此外，2000 年至 2020 年，UELTs 对 LSTIVs 的贡献增加了 19.49%，并且逐渐从主要转变（隔离和相邻退化）（均值 q=0.58）驱动转向次要转变（人口和建设用地压力增大）（均值 q=0.62），其中 q 为决定因素的力量。边缘扩展和填充恢复与蓝绿比（BGR；即水体与植被的比值）、生境质量和人口布局之间的相互作用对 LSTIVs 有显著影响。此外，UEL 恢复-退化和 BGR 对 LSTIVs 的影响的相对大小不是固定的，而是与它们的相互作用效应和城市群发展阶段有关。因此，除了促进 UEL 的增加外，优化 UEL 的景观结构（例如，增加聚集度和连通性，调整 BGR）以及 UEL 与其他人为因素的分布对于降低城市热环境也至关重要。
