raybet体育在线 院报 ›› 2025, Vol. 42 ›› Issue (3): 76-83.DOI: 10.11988/ckyyb.20231374

• 水土保持与生态修复 • 上一篇    下一篇

滹沱河流域植被NPP时空演变及其影响因子分析

袁金国1,2,3(), 杨紫妍1,2,3(), 李卓琳1,2,3, 王文超1,2,3   

  1. 1 河北师范大学 地理科学学院,石家庄 050024
    2 河北省环境变化遥感识别技术创新中心,石家庄 050024
    3 河北省环境演变与生态建设省级重点实验室,石家庄 050024
  • 收稿日期:2023-12-13 修回日期:2024-03-21 出版日期:2025-03-01 发布日期:2025-03-01
  • 通信作者:
    杨紫妍(2000-),女,河北定州人,硕士研究生,研究方向为遥感信息处理及遥感应用研究。E-mail:
  • 作者简介:

    袁金国(1972-),女,河北衡水人,副教授,博士,硕士生导师,研究方向为遥感信息处理及遥感应用研究。E-mail:

  • 基金资助:
    国家自然科学基金项目(42101382); 河北省自然科学基金优秀青年科学基金项目(D2023205012); 河北师范大学科研基金项目(130539)

Spatiotemporal Evolution of Vegetation Net Primary Productivity in Hutuo River Basin and Its Influencing Factors

YUAN Jin-guo1,2,3(), YANG Zi-yan1,2,3(), LI Zhuo-lin1,2,3, WANG Wen-chao1,2,3   

  1. 1 School of Geographic Science, Hebei Normal University, Shijiazhuang 050024,China
    2 Hebei Innovation Center on Remote Sensing Identification Technology for Environmental Changes, Shijiazhuang 050024, China
    3 Hebei Provincial Key Laboratory of Environmental Evolution and Ecological Construction, Shijiazhuang 050024,China
  • Received:2023-12-13 Revised:2024-03-21 Published:2025-03-01 Online:2025-03-01

摘要:

探究滹沱河流域植被净初级生产力(NPP)的时空演变规律对于认知和改善周边生态环境具有重要意义。利用MOD17A3 NPP数据,采用一元线性回归分析及变异系数等方法对滹沱河流域2003—2022年的植被NPP时空演变进行分析,并将植被NPP与土地覆盖类型及地形因子结合进行了分区统计。结果表明:2003—2022年滹沱河流域植被NPP均值集中在300~400 gC/(m2·a);植被NPP最大值与平均值的峰值分别出现在2020年和2022年,为828 gC/(m2·a)与424.33 gC/(m2·a)。2003—2022年滹沱河流域植被NPP呈线性增长区域占研究区的96.46%,植被NPP相对年际变化率主要在20%~40%之间,且多年植被NPP的稳定性以较低波动为主。2003—2022年滹沱河流域植被NPP均值最低的植被覆盖类型为农用地,为331.92 gC/(m2·a);最高的为草地,为384.40 gC/(m2·a);随着高程、坡度的增加,植被NPP增加,从坡向看,平面的植被NPP最低。

关键词: 净初级生产力(NPP), 滹沱河流域, 时空演变, 变异系数, 分区统计

Abstract:

Exploring the spatiotemporal evolution patterns of Net Primary Productivity (NPP) of vegetation in Hutuo River Basin is of great significance for understanding and improving the surrounding ecological environment. Based on MOD17A3 NPP data, the spatiotemporal evolution of vegetation NPP in Hutuo River Basin from 2003 to 2022 was analyzed using methods such as univariate linear regression analysis and coefficient of variation. The vegetation NPP was combined with land cover types and terrain factors for zoning statistics. Results show that from 2003 to 2022, the average vegetation NPP in Hutuo River Basin ranged from 300 gC/(m2·a) to 400 gC/(m2·a). The maximum NPP peak occurred in 2020, reaching 828 gC/(m2·a), while the average NPP peak was in 2022, at 424.33 gC/(m2·a). Areas where vegetation NPP increased linearly from 2003 to 2022 accounted for 96.46% of the study area. The relative annual change rate of vegetation NPP mainly fell within the range of 20%-40%, and the long-term stability of vegetation NPP was characterized by low fluctuations. Among the land-cover types in the Hutuo River Basin from 2003 to 2022,agricultural land had the lowest average vegetation NPP,at 331.92 gC/(m2·a), whereas grassland had the highest, at 384.40 gC/(m2·a). Vegetation NPP increased with rising elevation and slope. In terms of aspect, planes featured the lowest vegetation NPP.

Key words: net primary productivity(NPP), Hutuo River Basin, spatiotemporal evolution, variation coefficient, zoning statistics

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