生态与农村环境学报2026，Vol.42Issue(4)：548-560,13.DOI:10.19741/j.issn.1673-4831.2025.0166
基于kNDVI的山东省植被时空分异及其对气候因子的响应
Spatio-temporal Differentiation of Vegetation in Shandong Province Based on kNDVI and Its Response to Climate Factors
摘要
Abstract
Investigating the spatio-temporal patterns of vegetation growth dynamics and their response mechanisms to cli-matic factors is crucial for maintaining ecosystem stability.Based on the kernel Normalized Difference Vegetation Index(kNDVI)from 2000 to 2022,this study analyzed the spatiotemporal patterns of kNDVI in Shandong Province and its spa-tial response characteristics to climatic factors(temperature and precipitation)using methods such as Ensemble Empirical Mode Decomposition(EEMD)and Ridge Regression Analysis.The results show that vegetation kNDVI in Shandong Prov-ince improved significantly during 2000 to 2022,with a long-term upward trend across the entire region with 63.97％of the area exhibited a significant increase and fluctuation cycles of 0.1,0.5,and 1 a.The increase of kNDVI was particu-larly prominent in spring and autumn,while summer and the growing season showed relatively weaker improvements.The response of kNDVI to climatic factors showed distinct seasonal and regional differences.During the growing season,tem-perature contributed more to kNDVI than precipitation,and spring temperature and precipitation showing the strongest pos-itive feedback.Spatially,spring kNDVI in eastern and northern regions was primarily driven by temperature,while precip-itation dominated in other areas.During summer and autumn,precipitation became the determining factor for kNDVI,with eastern and northern regions mainly influenced by precipitation,while southwestern areas mainly remained temperature-driv-en.This study provides a scientific basis for understanding vegetation dynamics in Shandong Province and their relationship with climatic factors,supporting the formulation of regional ecological management and climate adaptation strategies.关键词
核归一化差异植被指数(kNDVI)/集合经验模态分解(EEMD)/岭回归分析/时空格局/响应特征/山东省Key words
kernel normalized difference vegetation index(kNDVI)/ensemble empirical mode decomposition(EEMD)/ridge regression analysis/spatio-temporal pattern/response characteristic/Shandong Province分类
资源环境引用本文复制引用
史春彦,吴正尧,赵娜,路娜,王晓芳,李康乐,刘春蕾,李子君,林锦阔..基于kNDVI的山东省植被时空分异及其对气候因子的响应[J].生态与农村环境学报,2026,42(4):548-560,13.基金项目
山东省自然科学基金项目(ZR2024QD264) （ZR2024QD264）
济南市气象局气象科学技术研究项目(2024jnqxms01) （2024jnqxms01）
