| 海河流域植被变化时空分异及影响因素探测 |
| 摘要点击 583 全文点击 52 投稿时间：2024-03-02 修订日期：2024-06-09 |
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| 中文关键词 海河流域 归一化植被指数（NDVI） 地理探测器 影响因子 空间分布格局 |
| 英文关键词 Haihe River Basin normalized difference vegetation index （NDVI） geographical detector impact factor spatial distribution pattern |
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| 中文摘要 |
| 认识海河流域植被覆盖变化时空分异规律及影响因素可为其生态保护与建设提供参考. 基于2000~2020年归一化植被指数（NDVI）、自然因子和社会经济因子数据集,采用最大值合成法、Theil-Sen Median趋势分析和Mann-Kendall显著性检验、Hurst指数及地理探测器等方法分析了2000~2020年海河流域NDVI时空变化特征并探讨了NDVI时空分异影响因素. 结果表明：①2000~2020年海河流域NDVI呈波动上升趋势,增长速率为0.003 2 a-1,高植被覆盖和中高植被覆盖占总面积的81.79%,植被覆盖总体处于较高水平. NDVI空间分布具有明显分异规律,表现为西部高、环渤海湾地带和城市区域较低. 植被未来呈现改善趋势的面积占49.68%. ②土地利用类型和土壤类型q值分别为0.254和0.222,是影响NDVI空间变化规律的主导因子. 降水和气温为次要因子,q值分别为0.164和0.147. 交互作用上,土地利用类型∩土壤类型的q值最高,为0.442,其次是土地利用类型∩年降水量,q值为0.428,均表现出双因子增强和非线性增强两种关系. 植被变化是多因素综合作用的结果,需因地制宜制定不同规划和管理策略,研究结果可为海河流域生态环境建设及可持续发展提供理论依据. |
| 英文摘要 |
| Understanding the spatial and temporal variation in vegetation coverage in the Haihe River Basin and its influencing factors can provide a theoretical reference for its ecological protection and construction. Based on the datasets of the normalized difference vegetation index （NDVI）, natural factors, and socioeconomic factors, the spatial and temporal variation characteristics of the NDVI in the Haihe River Basin from 2000 to 2020 were analyzed by using the maximum value synthesis method, Theil-Sen Median trend analysis, the Mann-Kendall significance test, the Hurst index, and a geographical detector. The factors influencing the spatial differentiation of the NDVI were discussed. The results showed that： ① The NDVI in the Haihe River Basin showed a fluctuating upward trend from 2000 to 2020, with a growth rate of 0.003 2 a-1. High vegetation coverage and medium-high vegetation coverage accounted for 81.79% of the total area, and vegetation coverage was generally at a high level. The spatial distribution of the NDVI showed obvious differences, which were high in the west and low in Bohai Bay and urban areas. The area of vegetation improvement in the future was 49.68%. ② The q values of the land use type and soil type were 0.254 and 0.222, respectively, which were the dominant factors affecting the spatial variation in the NDVI. Rainfall and temperature were secondary factors, and the q values were 0.164 and 0.147, respectively. The q value of interaction land use type ∩ soil type was the highest （0.442）, followed by the q value of land use type ∩ annual precipitation （0.428）. Vegetation change is the result of the combined effect of various factors. It is necessary to formulate different strategies and managements according to local conditions. The research results can provide a theoretical basis for the eco-environmental construction as well as the sustainable development of the Haihe River Basin. |
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