长江科学院院报 ›› 2025, Vol. 42 ›› Issue (1): 74-81.DOI: 10.11988/ckyyb.20230902

• 水土保持与生态修复 • 上一篇    下一篇

西北“水三线”地区植被NPP时空变化及其对水热条件的响应

冯淦1(), 王玉杰2, 王涛3(), 王珊珊4, 杨东4   

  1. 1 西安科技大学 测绘科学与技术学院, 西安 710054
    2 北京洛斯达科技发展有限公司,北京 100044
    3 西安科技大学 国土空间研究所, 西安 710054
    4 陕西国图信息技术有限公司, 西安 710054
  • 收稿日期:2023-08-18 修回日期:2023-12-11 出版日期:2025-01-01 发布日期:2025-01-01
  • 通信作者:
    王涛(1984-),男,河南汤阴人,副教授,博士,主要从事区域环境变化研究。E-mail:
  • 作者简介:

    冯淦(1998-),男,安徽六安人,硕士研究生,主要从事地理空间信息技术应用研究。E-mail:

  • 基金资助:
    国家重点研发计划项目(2022YFE0119200); 国家自然科学基金项目(42271309)

Temporal and Spatial Variations of NPP and Its Response to Hydrothermal Conditions in the “Three Water Lines” Region of Northwest China

FENG Gan1(), WANG Yu-jie2, WANG Tao3(), WANG Shan-shan4, YANG Dong4   

  1. 1 College of Geomatics,Xi’an University of Science and Technology,Xi’an 710054,China
    2 Beijing Lostar Technology Development Co. Ltd., Beijing 100044,China
    3 Institute of Territorial Space, Xi’an University of Science and Technology, Xi’an 710054, China
    4 Shaanxi Guotu Information Technology Co., Ltd., Xi’an 710054, China
  • Received:2023-08-18 Revised:2023-12-11 Published:2025-01-01 Online:2025-01-01

摘要:

为探究水热条件对西北“水三线”地区植被净初级生产力(NPP)的影响,基于遥感和气象数据,采用改进的CASA模型估算研究区植被NPP,并利用回归分析、相关分析等方法分析植被NPP时空变化及其对水热条件的响应。研究表明:①2001—2020年研究区植被NPP整体呈波动上升趋势,增速为1.54 gC/(m2·a)。不同分区中,区域Ⅲ(奇策线以西)增速最快,为2.39 gC/(m2·a)。②空间上,研究区植被NPP整体呈增加趋势,其中显著增加的区域占47.27%,主要分布在区域Ⅰ(阳关线以东)中部和南部地区及区域Ⅲ西南部,呈显著减少的区域仅占0.79%。③研究区植被NPP受降水主导的区域占31.53%,要高于气温主导的区域(9.58%)。研究认为气温和降水对西北“水三线”地区植被NPP变化起积极作用,其中降水作用更为显著。

关键词: 净初级生产力, 气候因素, CASA模型, 水三线, 西北地区

Abstract:

To investigate the impact of hydrothermal conditions on vegetation net primary productivity (NPP) in the “Three Water Lines” (Heihe-Tengchong Line, Yangguan Line, and Qitai-Cele Line) region of Northwest China, we employed an enhanced version of the CASA (Carnegie-Ames-Stanford Approach) model to estimate NPP in the study area from 2001 to 2020 based on remote sensing and meteorological datasets. Regression and correlation analyses were also conducted to scrutinize the temporal and spatial NPP variations and their responses to hydrothermal factors. Our findings revealed a fluctuating upward trend in vegetation NPP from 2001 to 2020, with an average annual increase of 1.54 gC/(m2·a). Notably, region III, located west of the Qitai-Cele line, exhibited the most rapid growth rate at 2.39 gC/(m2·a). Spatially, the majority of the study area demonstrated an increasing NPP trend, with 47.27% showing significant increases, predominantly in the central and southern parts of region I (east of the Yangguan Line) and the southwestern portion of region III. Conversely, only 0.79% of the area experienced a significant decrease in NPP. Regarding the influence of hydrothermal conditions, precipitation emerged as the dominant factor, contributing to 31.53% of NPP variation, surpassing the contribution of air temperature at 9.58%. This suggests that both temperature and precipitation positively influence NPP changes in the region, with precipitation playing a more pivotal role.

Key words: net primary productivity, climatic factor, CASA model, Three Water Lines, Northwest China

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