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基于 GEE 的山东省植被覆盖度时空变化及其影响因素分析。

Spatial and temporal variations of vegetation cover and its influencing factors in Shandong Province based on GEE.

机构信息

School of Surveying and Geo-Informatics, Shandong Jianzhu University, No. 1000, Fengming Road, Licheng District, Jinan, 250101, China.

Ji'nan Institute of Survey and Investigation, Jinan, 250101, China.

出版信息

Environ Monit Assess. 2023 Aug 7;195(9):1023. doi: 10.1007/s10661-023-11650-7.

Abstract

Economic development has rapidly progressed since the implementation of reform and opening up policies, posing significant challenges to sustainable development, especially to vegetation, which plays a crucial role in maintaining ecosystem service functions and promoting green low-carbon transformations. In this study, we estimated the fractional vegetation cover (FVC) in Shandong Province from 2000 to 2020 using the Google Earth Engine (GEE) platform. The spatial and temporal changes in FVC were analyzed using gravity center migration analysis, trend analysis, and geographic detector, and the vegetation changes of different land use types were analyzed to reveal the internal driving mechanism of FVC changes. Our results indicate that vegetation cover in Shandong Province was in good condition during the period 2000 to 2020. The high vegetation cover classes dominated, and overall changes were relatively small, with the center of gravity of vegetation cover generally shifting towards the southwest. Land use type, soil type, population density, and GDP factors had the most significant impact on vegetation cover change in Shandong Province. The interaction of these factors enhanced the effect on vegetation cover change, with land use type and soil type having the highest degree of influence. The observational results of this study can provide data support for the policy makers to formulate new ecological restoration strategies, and the findings would help facilitate the sustainability management of regional ecosystem and natural resource planning.

摘要

改革开放政策实施以来,经济快速发展,对可持续发展,尤其是对植被,造成了巨大的挑战。植被在维持生态系统服务功能和促进绿色低碳转型方面发挥着关键作用。本研究利用谷歌地球引擎(GEE)平台,估算了 2000 年至 2020 年山东省的分维植被覆盖度(FVC)。采用重心迁移分析、趋势分析和地理探测器分析了 FVC 的时空变化,并分析了不同土地利用类型的植被变化,揭示了 FVC 变化的内在驱动机制。结果表明,2000 年至 2020 年期间,山东省植被覆盖状况良好,高植被覆盖类占主导地位,整体变化较小,植被覆盖重心总体向西南方向移动。土地利用类型、土壤类型、人口密度和 GDP 因素对山东省植被覆盖变化的影响最大。这些因素的相互作用增强了对植被覆盖变化的影响,其中土地利用类型和土壤类型的影响程度最高。本研究的观测结果可为决策者制定新的生态恢复策略提供数据支持,有助于促进区域生态系统的可持续管理和自然资源规划。

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