十堰市植被指数时空变化特征及其对气候变化的响应
Spatiotemporal Variation Characteristics of Normalized Difference Vegetation Index and Its Response to Climate Change in Shiyan City
DOI: 10.12677/wjf.2026.153090, PDF,   
作者: 孙超作, 杨普平*:湖北省十堰市丹江口市气象局,湖北 丹江口;李 旭:丹江口市林业管护中心,湖北 丹江口
关键词: NDVI气候变化相关分析时滞效应NDVI Climate Change Correlation Analysis Time-Lag Effect
摘要: 基于2005~2024年MOD13Q1-NDVI数据与1 km分辨率气象数据集,采用趋势分析、Hurst指数、Pearson相关分析,系统揭示十堰市植被覆盖时空演变特征,并从年际、空间与月尺度分析NDVI对气温、降水的响应规律。结果表明:① 近20年十堰市年均NDVI呈显著上升趋势,增速为0.024/10a,夏季NDVI最高,冬季增长速率最快;② 空间上NDVI呈“南北山地高、中部河谷低”分布格局,植被改善区集中于汉江沿岸,城镇周边零星退化,整体稳定性强且未来持续向好;③ 从逐年变化来看,NDVI与气温显著正相关,与降水量呈不显著负相关,月际尺度分析表明,生长季内十堰市NDVI受气温的影响并不显著,6~7月当月降水、5月前期降水对植被促进作用显著。
Abstract: Based on MOD13Q1-NDVI datasets and 1-kilometer resolution meteorological data from 2005 to 2024, trend analysis, Hurst exponent calculation and Pearson correlation analysis were adopted to systematically explore the spatiotemporal evolution characteristics of vegetation coverage. The response of NDVI to air temperature and precipitation was further analyzed at interannual, spatial and monthly scales. The results show that: (1) The annual average NDVI in Shiyan City has presented a significant increasing trend over the past 20 years with an annual growth rate of 0.024 per decade. NDVI peaks in summer, while its growth rate reaches the maximum in winter; (2) Spatially, NDVI follows a spatial pattern of high values in southern and northern mountainous areas and low values in central river valleys. Vegetation improvement areas are mainly distributed along the Hanjiang River, with sporadic degradation around urban built-up areas; overall vegetation conditions feature strong stability and will keep improving in the future; (3) At the interannual scale, NDVI is significantly positively correlated with air temperature yet insignificantly negatively correlated with precipitation. Monthly-scale analysis indicates that air temperature exerts no remarkable influence on NDVI during the growing season, whereas concurrent precipitation in June~July and Preseason precipitation in May impose prominent positive promoting effects on vegetation growth.
文章引用:孙超作, 李旭, 杨普平. 十堰市植被指数时空变化特征及其对气候变化的响应[J]. 林业世界, 2026, 15(3): 780-790. https://doi.org/10.12677/wjf.2026.153090

参考文献

[1] 傅伯杰, 刘世梁, 马克明. 生态系统综合评价的内容与方法[J]. 生态学报2001, 21(11): 1885-1892.
[2] 孙守琴, 谢汶天, 胡兆永, 等. 亚高山森林树木生长响应气候变化研究的前沿和挑战[J]. 气候变化研究进展, 2025, 21(2): 198-207.
[3] 赵东升, 王珂, 崔耀平. 植被变化对气候的反馈机制及调节效应[J]. 生态学报, 2023, 43(19): 7830-7840.
[4] 田庆久, 闵祥军. 植被指数研究进展[J]. 地球科学进展, 1998, 13(4): 327-333.
[5] 崔利芳, 许馨, 牛自耕, 等. 武汉都市圈植被NDVI变化特征及其对气候变化的响应[J]. 黄冈师范学院学报, 2023, 43(3): 42-48.
[6] 李晓兵, 史培军. 中国典型植被类型NDVI动态变化与气温、降水变化的敏感性分析[J]. 植物生态学报, 2000, 24(3): 379-384.
[7] 侯美亭, 赵海燕, 王筝, 等. 基于卫星遥感的植被NDVI对气候变化响应的研究进展[J]. 气候与环境研究, 2013, 18(3): 353-364.
[8] 彭守璋. 中国1km分辨率逐月降水量数据集(1901-2025)[EB/OL]. 国家青藏高原科学数据中心.
https://data.tpdc.ac.cn/zh-hans/data/faae7605-a0f2-4d18-b28f-5cee413766a2, 2026-07-11.
[9] 彭守璋. 中国1km分辨率逐月平均气温数据集(1901-2025)[EB/OL]. 国家青藏高原科学数据中心.
https://cstr.cn/18406.11.Meteoro.tpdc.270961, 2026-07-11.
[10] 董庆栋, 陈超男, 殷浩然, 等. 秦巴山地植被绿度特征及其对地表水热的响应[J]. 生态学报, 2023, 43(3): 1090-1101.
[11] 陈超男, 王丽园, 朱文博, 等. 秦巴山地极端气候变化特征及其对植被动态的影响[J]. 水土保持学报, 2024, 38(3): 276-287.
[12] 王竹, 张冠华, 王一帆, 等. 汉江流域植被覆盖变化响应阈值与调控对策[J]. 中国水利, 2025(18): 59-67, 72.