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    暖湿化背景下气候因子对秦岭NDVI的驱动研究

    Driving effects of climatic factors on the normalized difference vegetation index of the Qinling region under the background of warming and humidification

    • 摘要: 当前秦岭气候-植被耦合研究多聚焦站点尺度,缺乏对一般、重点、核心三级保护区的精细化对比分析,难以揭示不同保护分区植被对气候暖湿化的差异化响应机制。该文以2000—2024年气象和遥感数据为基础,采用像元尺度趋势分析与皮尔逊相关方法,系统评估了秦岭及三级保护区的气候—植被耦合特征。结果表明: ①区域整体呈同步暖湿化,平均气温增温率为0.343 ℃/10 a、平均降水量增加率为59.675 mm/10 a,其中一般保护区平均最高气温升温最快、降水增幅最大,核心保护区平均气温升温幅度最大,但高海拔增湿最弱; ②全域归一化植被指数(normalized difference vegetation index,NDVI)均值为0.862,呈“重点>核心>一般”梯度分布,整体以0.029/10 a速率增绿,92.52%区域表现为改善,退化区域主要集中在人类活动密集区; ③NDVI与年平均气温正相关面积占比为92.57%(重点保护区最大,为95.73%),与平均年降水量正相关面积占比为92.31%(一般保护区最大,为94.09%), 极端气温与NDVI的相关性显著弱于年平均气温,且空间差异突出; ④年平均气温是区域尺度植被变化的主导气候因子,降水次之,极端气温影响有限,核心保护区气温、降水与NDVI的负相关均为最大,表明原生生态系统对气候波动的脆弱性更高。该文厘清了秦岭不同保护分区气候因子对NDVI的驱动差异,为秦岭生态保护分区差异化管理提供了数据支撑与科学依据,也为山地生态系统气候-植被耦合机制研究提供了案例参考。

       

      Abstract: Existing studies on climate-vegetation coupling in the Qinling Mountains primarily focus on the station scale, lacking a fine-scale comparative analysis of the general, key, and core protected areas in the region. Therefore, these studies are insufficient to reveal the mechanisms underlying the differential responses of vegetation in the three-level protected areas to warming and humidification. Based on meteorological and remote sensing data from 2000 to 2024, this study systematically assessed the climate-vegetation coupling characteristics of the Qinling Mountains and its three-level protected areas using pixel-scale trend analysis and the Pearson correlation coefficient. The results indicate that from 2000 to 2024, the whole Qinling Mountains showed synchronous warming and humidification overall, with an average warming rate of 0.343 ℃/10 a and an increasing rate of precipitation determined at 59.675 mm/10 a. The general protected areas exhibited the highest increasing rate of high temperature and the greatest increase in precipitation. In contrast, the core protected areas manifested the highest increasing rate of average temperature and the weakest increase in humidification due to their high altitudes. The normalized difference vegetation index (NDVI) values averaged 0.862 across the whole region. The NDVI values of the three-level protected areas decreased in the order of key, core, and general protected areas, exhibiting a gradient distribution. The Qinling Mountains exhibited a greening rate of 0.029/10 a overall, with improvements occurring in 92.52% of the region and degradation primarily concentrated in areas with intensive human activities. Positive correlation between NDVI and average annual temperature was observed in 92.57% of the region (up to 95.73% of the key protected areas). In contrast, the correlation between NDVI and extreme temperature was significantly weaker while also exhibiting prominent spatial differentiation. The positive correlation between NDVI and annual precipitation was observed in 92.31% of the region (up to 94.09% of the general protected areas). The average annual temperature acted as the dominant climatic factor inducing changes in regional vegetation, followed by precipitation, with extreme temperatures exerting a limited impact. The core protected areas exhibited the most significant negative correlations of NDVI with temperature and precipitation, indicating that the primordial ecosystem is more vulnerable to climate fluctuations. Overall, this study determines the different driving effects of climatic factors on NDVI across varying protected areas of the Qinling Mountains. The results of this study provide data support and a scientific basis for the differential management of ecological protection zones in the Qinling Mountains while also offering a case reference for investigating climate-vegetation coupling mechanisms in mountain ecosystems.

       

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