[1]刘 艳,刘 帆,王瑾婷,等.1991—2024年咸阳市植被NDVI对政策-气候-农业驱动的响应及其空间分异[J].山地学报,2025,(4):541-554.[doi:10.16089/j.cnki.1008-2786.000911]
　LIU Yan,LIU Fan,WANG Jinting,et al.Response and Spatial Differentiation of Vegetation NDVI to Policy-Climate-Agriculture Drivers in Xianyang City, China from 1991 to 2024[J].Mountain Research,2025,(4):541-554.[doi:10.16089/j.cnki.1008-2786.000911]
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1991—2024年咸阳市植被NDVI对政策-气候-农业驱动的响应及其空间分异()

《山地学报》[ISSN:1008-2186/CN:51-1516]

卷:
期数:
2025年第4期
页码:
541-554
栏目:
山地环境
出版日期:
2025-08-20

文章信息/Info

Title:
Response and Spatial Differentiation of Vegetation NDVI to Policy-Climate-Agriculture Drivers in Xianyang City, China from 1991 to 2024
文章编号:
1008-2786-(2025)4-541-14
作者:
刘 艳1; 2; 刘 帆1; 2; 王瑾婷1; 2; 高 萌1; 2; 丁鸿艺1; 余浩杰3
(1.咸阳市气象局,陕西 咸阳712000; 2.陕西省气象局 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; 3.泾阳县气象局,陕西 泾阳713700)
Author(s):
LIU Yan1; 2;  LIU Fan1; 2;  WANG Jinting1; 2;  GAO Meng1; 2;  DING Hongyi1;  YU Haojie3
(1. Xianyang Meteorological Bureau, Xianyang 712000, Shaanxi, China; 2. China Meteorological Administration Key Laboratory of Eco-Environment and Meteorology for the Qinling Mountains and Loess Plateau, Shaanxi Meteorological Bureau, Xi'an 710016, China; 3.Jingyang County Meteorological Bureau, Jingyang 713700, Shaanxi, China).
关键词:
NDVI;  空间分异;  政策驱动;  气候驱动;  农业驱动;  咸阳
Keywords:
NDVI;  spatial differentiation;  policy-driven;  climate-drive;  agriculture-drive;  Xianyang
分类号:
X87
DOI:
10.16089/j.cnki.1008-2786.000911
文献标志码:
A
摘要:
植被覆盖的动态变化是区域生态环境演变的直观体现。归一化差值植被指数(Normalized Difference Vegetative Index,NDVI)可定量表征地表绿度与生物量变化。既有NDVI研究多依赖单一数据源或短序列数据,难以全面反映植被覆盖的长期动态变化规律,难以剥离农田、城镇干扰,亦未充分阐明自然植被对气候与农业管理的长期响应。本研究基于1991—2024年咸阳市12个气象站的逐日数据、30 m Landsat遥感影像、GlobeLand30土地利用类型数据,采用趋势分析、波动分析和空间分析等方法,探讨NDVI时空演化及其对气候因子和粮食产量的耦合关系。研究发现,(1)咸阳市NDVI多年均值集中于 0.2～0.4,高值区主要分布在旬邑县马栏镇、清源镇、城关街道,彬州市韩家镇、水口镇,永寿县永平镇和礼泉县南坊镇等地; 1991—2024年NDVI呈极显著上升趋势(P<0.01),低覆盖区以10.3%/10a速率缩减,高覆盖区以5.4%/10a速率扩张; 剔除农田和城镇干扰物后,自然植被NDVI稳定性增强,较高稳定区域面积占比从1.8%提高至10.1%。(2)NDVI与年降水量、湿润指数、年平均气温存在正相关性(P<0.05),与日照时数存在负相关性,呈现水分主导、光照复杂、气温有限的特征,水分条件(降水量、湿润指数)是影响植被覆盖的核心气候因子,光照与气温的作用受水分胁迫和阈值调节。(3)自2018年实施环境综合治理以来,咸阳市旱腰带区域 NDVI 显著提升 65.5%(P<0.05),证实政策干预对脆弱生态区恢复发挥了关键作用。(4)2012—2023年粮食单产与农田 NDVI呈协同增长趋势(r=0.56),表明现代农业技术有效提高了植被生产力。研究结果可为咸阳市应对气候变化、评估生态修复成效及制定生态文明建设政策提供科学依据。
Abstract:
The dynamic changes in vegetation cover provide a direct indicator of regional eco-environmental change. The Normalized Difference Vegetation Index(NDVI)can quantitatively describe surface greenness and biomass variability. Previous studies in NDVI, predominantly reliant on single-source or short-sequence data, struggled to comprehensively capture long-term vegetation dynamics, isolate agricultural and urban interferences, or elucidate the sustained responses of natural vegetation to climatic and agricultural management factors.
In this study, it integrated daily meteorological data from 12 stations from 1991 to 2024, 30 m Landsat remote sensing images, and GlobeLand30 land use classification data in Xianyang City, and employed trend analysis, fluctuation analysis, and spatial analysis to investigate the NDVI spatiotemporal evolution and its coupling with climatic context and grain yields.
It found that(1)the mean annual NDVI in Xianyang City primarily ranged from 0.2 to 0.4, with high-value zones concentrated in Malan Town, Qingyuan Town, and Chengguan Subdistrict(Xunyi County); Hanjia Town and Shuikou Town(Binzhou City); Yongping Town(Yongshou County); and Nanfang Town(Liquan County). From 1991 to 2024, NDVI exhibited a highly significant upward trend(P<0.01), with low-coverage areas shrinking at 10.3%/10a and high-coverage areas expanding at 5.4%/10a. After excluding agricultural and urban disturbances, natural vegetation NDVI stability improved with high-stability areas increasing from 1.8% to 10.1%.
(2)NDVI correlated positively with annual precipitation, humidity index, and mean annual temperature(P<0.05), but negatively with sunshine duration, reflecting a moisture-dominated pattern modulated by illumination and temperature thresholds. Moisture conditions(precipitation, humidity index)emerged as the primary climatic drivers of vegetation cover, with light and temperature effects regulated by moisture stress thresholds.
(3)Following the 2018 integrated environmental governance project, NDVI in Hanyaodai District, a fragile mining area, rose by 65.5%(P<0.05), highlighting the pivotal role of policy intervention in restoring fragile ecosystems.
(4)From 2012 to 2023, the grain yield per unit area and cropland NDVI showed a coordinated growth trend(r=0.56), demonstrating that modern agronomic practices effectively enhance vegetation productivity.
The research results can provide scientific basis for Xianyang City to address climate change, evaluate the effectiveness of ecological restoration, and formulate policies for ecological civilization construction.

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备注/Memo

备注/Memo:
收稿日期(Received date): 2025- 03-13; 改回日期(Accepted data):2025- 08-20
基金项目(Foundation item): 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面上项目(2024G-26); 陕西省自然科学基础研究计划(2025JC-YBMS-328)。[General Fund Project of China Meteorological Administration Key Laboratory of Eco-Environment and Meteorology for the Qinling Mountains and Loess Plateau(2024G-26); Shaanxi Provincial Natural Science Basic Research Program(2025JC-YBMS-328)]
作者简介(Biography): 刘艳(1985-),女,陕西彬州人,硕士,高级工程师,主要研究方向:农业及生态气象服务。[LIU Yan(1985-),female,born in Binzhou, Shaanxi Province, M.Sc., senior engineer, research on agricultural and ecological meteorology services] Email: njxaly@sina.com
更新日期/Last Update: 2025-08-20