欢迎访问《应用生态学报》官方网站,今天是 分享到:

应用生态学报 ›› 2025, Vol. 36 ›› Issue (2): 341-352.doi: 10.13287/j.1001-9332.202502.027

• 黄河流域生态保护和高质量发展专栏 • 上一篇    下一篇

2001—2020年黄河流域陕西段植被生长时空格局及驱动因子

张煦庭1,2*, 张维敏1, 潘宇鹰1, 权文婷1, 李美荣1, 何慧娟1, 周辉1   

  1. 1陕西省农业遥感与经济作物气象服务中心, 西安 710016;
    2中国气象局秦岭和黄土高原生态环境气象重点开放实验室, 西安 710016
  • 收稿日期:2024-08-16 接受日期:2024-12-10 出版日期:2025-02-18 发布日期:2025-08-18
  • 通讯作者: *E-mail: zhang_xuting26@126.com
  • 作者简介:张煦庭, 男, 1989年生, 高级工程师。主要从事生态与农业气象研究。E-mail: zhang_xuting26@126.com
  • 基金资助:
    陕西省自然科学基础研究计划项目(2024JC-YBMS-238, 2022JM-161, 2024JC-YBQN-0269)

Spatial-temporal pattern of vegetation growth and its driving factors in the Yellow River Basin of Shaanxi Province, Northwest China during 2001-2020.

ZHANG Xuting1,2*, ZHANG Weimin1, PAN Yuying1, QUAN Wenting1, LI Meirong1, HE Huijuan1, ZHOU Hui1   

  1. 1Shaanxi Agricultural Remote Sensing and Economic Crop Meteorological Service Center, Xi’an 710016, China;
    2China Meteorological Administration Eco-Environment and Meteorology for the Qinling Mountains and Loess Plateau Key Laboratory, Xi’an 710016, China
  • Received:2024-08-16 Accepted:2024-12-10 Online:2025-02-18 Published:2025-08-18

摘要: 陕西省是落实黄河流域生态保护和高质量发展战略的重要区域。本研究基于表征植被生长的卫星遥感数据,结合气象栅格数据、数字高程数据,采用趋势分析、偏相关分析、变异系数、残差分析及相对作用分析方法,探讨了2001—2020年黄河流域陕西段植被生长时空格局及其驱动因子。结果表明: 研究期间,黄河流域陕西段植被归一化植被指数(NDVI)和植被总初级生产力(GPP)均呈显著波动上升趋势,增速分别为0.066·(10 a)-1和133.610 g C·m-2·(10 a)-1,空间上分别有78.0%和92.1%的区域显著增加,大部分区域植被生长稳定。植被NDVI和GPP随海拔先减少后增加,在坡度>20°时达到最高值,阴坡植被稍优于阳坡,同时,两者在海拔750~1250 m和坡度2°~10°范围内增速最大,西坡、西南坡和东坡的NDVI增速较大,各坡向的GPP变化幅度相近。植被NDVI与平均气温在空间分布上的正、负相关区域相当,17.0%的区域与降水量呈显著正相关,5.6%的区域与日照时数呈显著负相关。植被GPP与平均气温、降水量在空间分布上分别有6.1%和12.3%的显著正相关区域,与日照时数呈显著相关的区域则零星分布。黄河流域陕西段86.3%区域的植被生长受气候变化和人类活动共同驱动并呈改善趋势,在植被改善区,人类活动相对作用达到84.5%,尤其在实施退耕还林还草工程的核心区域,在植被退化区,人类活动相对作用超过80%的区域占比接近3成,主要集中在关中平原城市群。

关键词: 植被生长, 气候因子, 地形因子, 人类活动, 黄河流域

Abstract: Shaanxi Province is an important region for implementing the strategy of ecological conservation and high-quality development of the Yellow River Basin. Based on remote sensing data of vegetation growth, combined with meteorological raster data and digital elevation model data, we used trend analysis, partial correlation analysis, coefficient of variation, residual analysis, and relative impact analysis methods to examine the spatial-temporal varia-tion and driving factors of vegetation growth in the Yellow River Basin of Shaanxi Province during 2001-2020. The results showed that both the normalized difference vegetation index (NDVI) and gross primary productivity (GPP) exhibited a significant upward trend, with a growth rate of 0.066·(10 a)-1 and 133.610 g C·m-2·(10 a)-1, respectively. Spatially, 78.0% and 92.1% of the areas showed significant increases in NDVI and GPP, respectively, with stable vegetation growth in most areas. NDVI and GPP initially decreased and then increased with increasing elevation, and peaking at slopes greater than 20°. Vegetation growth on the shady slope was slightly better than on the sunny slope. Both showed the highest growth rates at elevations of 750-1250 m and slopes of 2°-10°. The NDVI growth rate was greater on the west, southwest, and east slopes, while the GPP change trends were similar across different slope aspects. The areas where NDVI was positively correlated and negatively correlated with ave-rage temperature were approximately equal in size. About 17.0% of the area was significantly positively correlated with precipitation, and 5.6% was significantly negatively correlated with sunshine hours. The spatial distribution of GPP showed significantly positive correlation areas of 6.1% with average temperature and 12.3% with precipitation, with scattered significant correlation areas for sunshine hours. 86.3% of the area showed an improvement in vegetation growth driven by both climate change and human activities. In regions with enhancing vegetation condition, human activities had a relatively positive impact on vegetation growth, accounting for 84.5%, especially in the core areas of the project of returning farmland to forest and grassland. In regions with degradation of vegetation, areas where the relative impact of human activity exceeded 80% accounted for nearly 30%, primarily concentrated in the urban agglomeration of Guanzhong Plain.

Key words: vegetation growth; climate factor; topographic factor; human activity; the Yellow River Basin