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中国农学通报 ›› 2026, Vol. 42 ›› Issue (18): 117-132.doi: 10.11924/j.issn.1000-6850.casb2025-0966

• 资源·环境·生态·土壤·气象 • 上一篇    下一篇

藏北草地物候期与气象要素的响应特征

白玛央宗1(), 拉巴2(), 白玛仁增1, 周刊社1   

  1. 1 西藏自治区气候中心, 拉萨 850000
    2 西藏高原大气环境科学研究所, 拉萨 850000
  • 收稿日期:2025-12-09 修回日期:2026-06-30 出版日期:2026-09-25 发布日期:2026-09-24
  • 通讯作者:
    拉巴,男,1983年出生,西藏拉萨人,正高级工程师,硕士,主要从事高原卫星遥感应用与气候变化研究。通信地址:850000 西藏自治区拉萨市城关区林廓北路2号 西藏自治区气象局,Tel:0891-6336344,E-mail:。
  • 作者简介:

    白玛央宗,女,1993年出生,西藏日喀则人,工程师,本科,主要从事卫星遥感生态监测。通信地址:850000 西藏自治区拉萨市城关区林廓北路2号 西藏自治区气象局,Tel:0891-6330101,E-mail:。

  • 基金资助:
    藏北高原主要牧业气象灾害监测预警技术研究(ZFYC-GCLJ-202501); 西藏自治区气候中心劳模创新科研项目(XZQH202410LM01Z)

Response Characteristics of Grassland Phenology and Meteorological Factors in Northern Xizang

BAIMA Yangzom1(), LA Ba2(), BAIMA Renzin1, ZHOU Kanshe1   

  1. 1 Xizang Climate Center, Xizang Autonomous Region, Lhasa 850000
    2 Xizang Institute of Atmospheric Environment and Sciences, Lhasa 850000
  • Received:2025-12-09 Revised:2026-06-30 Published:2026-09-25 Online:2026-09-24

摘要:

为实现对藏北草地物候信息的精准遥感反演,本研究基于2001—2024年MODIS 13Q1 250米的16 d合成NDVI数据,结合2024年拉萨本站接收的MODIS-250米逐日数据,经过植被指数计算、最大值合成等预处理后,构建年内逐16 d NDVI最大值数据集。通过采用动态阈值法和海拔分区相结合的方式,提取藏北草地的物候期,分析了其空间分异格局和年际变化趋势,并利用藏北那曲市2001—2024年7个站点的年累积降水量、年平均气温和年总日照时数数据,进行了相关性分析。结果表明:藏北那曲市草地的返青期多集中在171~181 d,黄枯期大多在257 d之前。返青期呈提前趋势,黄枯期呈延后趋势。草地物候期对气象要素的响应存在明显空间分异,多数区域相关性未达到显著性水平,仅局部区域存在显著相关。其中,返青期与气温的相关性覆盖范围更广,显著相关占比最高;与降水以负相关为主,日照整体影响微弱,占比极低。黄枯期与降水、气温均显示正相关,与日照呈负相关。综上所述,藏北草地物候存在明显的海拔分异,且整体呈现“返青提前、黄枯延后”的趋势;气温是影响藏北草地物候空间格局的最为关键的因素,其调控效应显著强于降水与日照。鉴于那曲市7个站点均在中南部区域,该区域持续呈现“暖干化”气候特征,使得草地生态系统对水资源的需求尤为突出。

关键词: 藏北, 草地, 海拔, 返青期, 黄枯期, 气候响应, NDVI

Abstract:

To accurately retrieve phenological information of grasslands in northern Xizang using remote sensing methods, based on MODIS 13Q1 NDVI data with 250 m spatial resolution and 16-day composite intervals from 2001 to 2023, combined with daily MODIS 250 m data received at Lhasa Station in 2024, a dataset of annual 16-day maximum NDVI was constructed after preprocessing such as calculating vegetation indices and maximum value composite (MVC). The phenological periods of grasslands in northern Xizang were extracted by combining the dynamic threshold method with elevation zonings, and the spatial differentiation pattern and inter-annual variation trend of phenology were analyzed. Correlation analysis was then conducted with annual cumulative precipitation, annual mean air temperature, and annual total sunshine hours from 7 meteorological stations in Nagqu City, northern Xizang, from 2001 to 2024. The results showed that the green-up period of grasslands in Nagqu City mostly occurred from day 171 to day 181, and the senescence period mostly occurred before day 257. The green-up period showed an advancing trend, while the senescence period showed a delaying trend. There were obvious spatial differences in the response of grassland phenology to meteorological factors. Most of the regional correlations did not reach the significant level, and only some areas had significant correlations. Among them, the correlation between the green-up period and the temperature covered a wider range, and the proportion of significant correlation was the highest; it was mainly negatively correlated with precipitation, and the overall impact of sunshine was weak, accounting for a very low proportion. The senescence period was positively correlated with both precipitation and temperature, and negatively correlated with sunshine. In summary, grassland phenology in northern Xizang exhibits obvious elevation differentiation, with an overall trend of “earlier green-up and later senescence”. Temperature is the most critical factor affecting the spatial pattern of grassland phenology in northern Xizang, and its regulatory effect is significantly stronger than precipitation and sunshine. The 7 meteorological stations are all located in the central and southern parts of Nagqu City, where a persistent “warming-drying” climate trend is observed, and the grassland ecosystem is highly dependent on water resources.

Key words: northern Xizang, grassland, elevation, green-up period, senescence period, climate response, NDVI

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