滹沱河流域植被NPP时空演变及其影响因子分析

袁金国; 杨紫妍; 李卓琳; 王文超

doi:10.11988/ckyyb.20231374

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长江科学院院报 ›› 2025, Vol. 42 ›› Issue (3) : 76-83. DOI: 10.11988/ckyyb.20231374

水土保持与生态修复

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

作者信息 +

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

YUAN Jin-guo ¹^,²^,³ ,
YANG Zi-yan ¹^,²^,³ ,
LI Zhuo-lin ¹^,²^,³ ,
WANG Wen-chao ¹^,²^,³

Author information +

文章历史 +

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。

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.

导出引用

袁金国, 杨紫妍, 李卓琳, 等. 滹沱河流域植被NPP时空演变及其影响因子分析[J]. 长江科学院院报. 2025, 42(3): 76-83 https://doi.org/10.11988/ckyyb.20231374

YUAN Jin-guo, YANG Zi-yan, LI Zhuo-lin, et al. Spatiotemporal Evolution of Vegetation Net Primary Productivity in Hutuo River Basin and Its Influencing Factors[J]. Journal of Changjiang River Scientific Research Institute. 2025, 42(3): 76-83 https://doi.org/10.11988/ckyyb.20231374

中图分类号： TP79 (遥感技术的应用)

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摘要

深入认识沙漠化逆转过程中植被净初级生产力（NPP）的时空格局及其影响因素，对沙漠化逆转区碳循环的调控及生态工程的实施具有重要的科学意义。基于光能利用率模型（CASA）对2000—2020年榆林市植被NPP进行估算，通过差值分析、趋势分析、相关性分析等方法定量分析了气候变化和人类活动对NPP变化的影响。结果表明：（1）沙漠化逆转过程中榆林市植被NPP呈波动增加趋势，增加速率为12.39 g·m-2·a-1（以C计量），并表现出西低东高的空间分布格局，呈增加趋势的区域占榆林市总面积的98.4%，呈减小趋势的仅为1.6%。（2）植被NPP与气温的相关性不显著，与降水量呈正相关关系。人类活动对植被NPP的影响以正效应为主。（3）榆林西部毛乌素沙地植被NPP的变化以气候变化为主导，对降水量变化的响应更敏感，中东部以人类活动为主导，气候变化和人类活动主导区域分别占榆林市总面积的43.1%和56.9%。榆林西部沙区植被的恢复受制于水资源的供给，中东部退耕还林等人类活动对植被的恢复表现出更为积极的作用。

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https://doi.org/10.7522/j.issn.1000-694X.2023.00066

本文引用 [1] 摘要

An in-depth understanding of the spatial and temporal pattern of NPP and its influencing factors during the process of desertification reversal is of great scientific significance for the regulation of carbon cycle and the implementation of ecological engineering in desertification reversal zone. This paper estimated the values of NPP in Yulin from 2000 to 2020 using CASA model， and quantitatively analyzed the impact of climate change and human activities on NPP change through difference analysis， trend analysis and correlation analysis. The results showed that：（1） During the desertification reversal process， the values of NPP （calculation in C） of Yulin showed a fluctuating and increasing trend with a rate of 12.39 g·m^-2·a^-1， and displayed a spatial distribution pattern of low west and high east. The area with an increasing trend of changing NPP accounted for 98.4% of the total area of Yulin， and only 1.6% showed a decreasing trend. （2） The correlation between the NPP and the temperature was not significant， but the NPP was positively correlated with precipitation. The influence of human activities on NPP was mainly positive. （3） The change of NPP in the Mu Us Sandy Land in western Yulin was dominated by climate change， showing more sensitive to changes in precipitation. The change of NPP in the central and eastern regions of Yulin was dominated by human activities. The areas dominated by climate change and human activities accounted for 43.1% and 56.9% of the total area of Yulin， respectively. The restoration of vegetation in the sandy area of western Yulin was subject to the supply of water resources， and human activities such as returning farmland to forest in the central and eastern regions have shown a more positive effect on the restoration of vegetation.

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https://doi.org/10.11988/ckyyb.20220164

摘要

为研究京津冀植被NPP的时空变化,选用MOD17A3数据,采用一元线性回归分析对京津冀地区2000—2019年植被NPP在20 a间的时空演变进行分析,并对NPP与气候因子的相关关系进行分析。结果表明:京津冀地区植被NPP主要集中在200~400 gC/(m2·a),2000—2019年京津冀植被NPP平均值和最大值在稳定的基础上缓慢上升,其中NPP最大值和平均值的峰值都出现在2016年,分别为908.40 gC/(m2·a)和385.10 gC/(m2·a);2000—2019年京津冀植被NPP增长的区域占整个研究区域的97.12%,NPP降低的区域多出现在城市周围;2000—2019年京津冀地区4种植被覆盖类型按NPP均值从小到大排列依次为:农田、灌丛、草地、森林;从稳定性上看,2000—2019年京津冀NPP的稳定性表现为高低波动并存,并以较低波动为主;京津冀地区NPP与年均气温呈低度相关性,与年降水呈高度相关性。研究成果可为京津冀地区的生态文明建设、生态环境修复及治理保护提供参考依据。

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On the basis of MOD17A3HGF vegetation primary productivity (NPP) data, as well as the air temperature, precipitation and DEM data, the temporal and spatial change characteristics of vegetation NPP in the Yellow River basin from 2000 to 2020 and its response to hydrothermal and grain for green project (GGP) is carried out. The results show that: ① the overall trend of vegetation NPP in the Yellow River basin shows a significant linear increase (P<0.001), and the growth rate of vegetation NPP in the middle reaches is higher than that in the lower reaches, and the lower reaches is higher than the upper reaches. The vegetation NPP in the Yellow River basin increase significantly, accounting for 95.29%, which is concentrate in the middle reaches (the Loess Plateau region), while the significantly decrease areas are mainly concentrated in densely populated urban areas. ② The vegetation NPP in the Yellow River basin is mainly positively correlated with the annual average air temperature and annual precipitation, of which the significant positive correlations account for 11.15% and 42.35%, respectively, and which distribute in east-west and south-north direction, respectively. ③ The growth of vegetation NPP in the slope of [15°,25°] region is the fastest, followed by the >25° and <15° regions. It reflects the vegetation improvement effect of the grain for green project on the Loess Plateau in the middle reaches of the Yellow River basin.

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