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黄土高原植被春季物候对季前气候因子的响应

代瑞宏, 李享, 谢奕可, 刘柯言, 张初蕊, 陈立欣   

  1. 北京林业大学北京林业大学水土保持学院, 北京 100083 中国
  • 收稿日期:2026-03-26 修回日期:2026-07-14

Response of spring vegetation phenology on the Loess Plateau to preseason climate drivers

DAI RuiHong, LI Xiang, XIE YiKe, LIU KeYan, ZHANG ChuRui, CHEN LiXin   

  1. Beijing Forestry University School of Soil and Water Conservation, Beijing Forestry University 100083, China
  • Received:2026-03-26 Revised:2026-07-14

摘要: 摘要 【目的】黄土高原地区是我国典型的生态脆弱区,为明晰黄土高原植被春季物候对季前气候因子的响应,【方法】基于2003-2022年MODIS13Q1 EVI数据,利用Savitzky-Golay滤波法(S-G)和动态阈值法提取植被物候,通过趋势分析、偏相关分析和XGBoost-SHAP模型,探讨了黄土高原植被春季物候的时空变化及其对季前气候因子(气温日较差、温度、降水和太阳辐射)的响应。【主要结果】结果表明:(1)黄土高原地区生长季始期SOS主要集中在90-140天,SOS由森林到草原逐渐推迟,68.43%的研究区域SOS呈提前趋势。(2)季前气候因子对黄土高原植被春季物候时滞调控作用显著,SOS受季前气温日较差和温度1~3个月时滞效应调控显著,季前降水和太阳辐射对SOS的时滞影响时间更长,4~6个月的时滞影响显著。不同植被类型时滞窗口存在异质性(DTR/Tmean以1~4个月为主,Pre/Sr在部分区域可达4~6个月)。(3)森林区春季物候主要受气温调控,均温为主导因子;灌木区对气温日较差和太阳辐射表现出显著响应,体现出温度变化与能量输入的协同作用;而草原区则对太阳辐射和降水高度敏感,表明在水分受限环境中,水分可利用性是控制春季生长启动的关键因素。

关键词: 植被物候, 季前气候因子, 黄土高原, 时滞效应, XGBoost-SHAP

Abstract: Aims The Loess Plateau is a typical ecologically fragile region in China. To clarify the response of vegetation spring phenology to preseason climatic factors, Methods this study used MODIS13 Q1 EVI data from 2003 to 2022.Vegetation phenology was extracted using the Savitzky–Golay (S-G) filter and the dynamic threshold method. Trend analysis, partial correlation analysis, and the XGBoost-SHAP model were applied to investigate the spatiotemporal changes in spring phenology and their responses to preseason climatic factors (diurnal temperature range, temperature, precipitation, and solar radiation). Important findings The results showed that: (1) The start of the growing season (SOS) on the Loess Plateau mainly occurred between 90 and 140 days, with a gradual delay from forest to grassland zones. In addition, 68.43% of the study area exhibited an advancing trend in SOS. (2) Preseason climatic factors exerted significant lagged effects on spring phenology. SOS was significantly influenced by the lagged effects of DTR and temperature from January to March, whereas precipitation and solar radiation showed longer lagged effects, with significant impacts from April to June. The lag windows varied among vegetation types (DTR and temperature predominantly affected SOS from January to April, while the lag effects of precipitation and solar radiation extended up to four to six months in some regions). (3) Spring phenology in forest areas was primarily regulated by temperature, with mean temperature being the dominant factor. Shrub areas showed significant responses to DTR and solar radiation, reflecting the synergistic effects of temperature variation and energy input. Grassland areas were highly sensitive to solar radiation and precipitation, indicating that water availability is the key factor controlling the onset of spring growth in water-limited environments.

Key words: spring phenology, preseason climatic factors, Loess Plateau, lag effects, XGBoost-SHAP