中国农业气象 ›› 2026, Vol. 47 ›› Issue (10): 1566-1577.doi: 10.3969/j.issn.1000-6362.2026.10.003

• 农业生态环境栏目 • 上一篇    下一篇

贵州省稳定森林地表反照率的变化及其对植被绿度的响应

申选英,张玉彪,刘绥华,陈淋淋,宋善海,邓玲玲   

  1. 1. 贵州师范大学地理与环境科学学院,贵阳 550025;2. 贵州省生态与农业气象中心,贵阳 550025
  • 收稿日期:2025-06-16 出版日期:2026-10-20 发布日期:2026-10-19
  • 作者简介:申选英,E-mail:sxy2000157@163.com
  • 基金资助:
    国家自然科学基金项目(42161029);贵州师范大学学术新苗基金项目(黔师新苗[2022]022号);贵州省科技技术项目(黔科合基础-ZK[2022]一般278)

Variations in Surface Albedo of Stable Forests and Their Responses to Vegetation Greenness in Guizhou Province

SHEN Xuan-ying, ZHANG Yu-biao, LIU Sui-hua, CHEN Lin-lin, SONG Shan-hai, DENG Ling-ling   

  1. 1. School of Geography and Environmental Science, Guizhou Normal University, Guiyang 550025, China; 2. Guizhou Provincial Ecological and Agricultural Meteorological Center, Guiyang 550025
  • Received:2025-06-16 Online:2026-10-20 Published:2026-10-19

摘要:

稳定森林具有较高的植被完整性和相对稳定的小气候,揭示其绿度变化对地表反照率的影响有助于为森林能量交换过程及其对气候变化的响应提供量化参考。本研究以贵州省稳定森林为研究对象,基于2001-2022年MODIS地表反照率、增强型植被指数(Enhanced vegetation index,EVI)和植被覆盖度(Fractional vegetation cover,FVC)数据,采用Theil-Sen趋势分析、Mann-Kendall趋势检验、相关性分析及相对重要性分析,探讨月尺度、年际尺度和生长季尺度下贵州省稳定森林地表反照率、EVI和FVC的时空变化特征,探究不同森林类型绿度变化对地表反照率的影响。结果表明:(1)2001-2022年贵州省常绿阔叶林、常绿针叶林和落叶阔叶林的月尺度地表反照率表现出不显著的变化规律,7月为地表反照率最高月,月平均地表反照率大小依次为落叶阔叶林>常绿阔叶林>常绿针叶林;(2)2001-2022年贵州省稳定森林年际绿化趋势显著(P<0.05),年际与生长季地表反照率的空间变化趋势呈西北部增加、东南部下降的区域格局,其中常绿阔叶林是驱动地表反照率增加和森林绿化的主要类型(占比>55%);(3)2001-2022年贵州省稳定森林地表反照率与EVI和FVC整体呈显著正相关(P<0.05),表明森林绿化并未降低地表反照率,反而增强了其对短波辐射的反射能力,其中常绿阔叶林的正向驱动作用最明显。

关键词: 地表反照率, 增强型植被指数, 植被覆盖度, 时空变化, 植被绿度

Abstract:

Stable forests exhibit high vegetation integrity and a relatively stable microclimate. Revealing the effect of changes in the greenness of stable forests on surface albedo can provide a quantitative basis for understanding energy exchange processes and forest responses to climate change. This study focused on the stable forests of Guizhou province, utilizing MODIS surface albedo, Enhanced vegetation index (EVI) and Fractional vegetation cover (FVC) data from 2001 to 2022. By employing Theil-Sen trend analysis, Mann-Kendall trend testing, correlation analysis and relative importance analysis, the temporal and spatial variations of surface albedo, EVI and FVC in Guizhou's stable forests were explored at monthly, annual and growing season scales, as well as the influence of greenness changes across different forest types on surface albedo. The results showed that: (1) from 2001 to 2022, the monthly surface albedo of evergreen broadleaved forests, evergreen needle−leaved forests and deciduous broadleaved forests in Guizhou exhibited insignificant patterns, peaking in July. The monthly average surface albedo ranked as follows: deciduous broadleaved forests > evergreen broadleaved forests > evergreen needle-leaved forests. (2) During 2001-2022, Guizhou's stable forests exhibited a significant interannual greening trend (P < 0.05). The spatial variations of surface albedo on both interannual and growing-season scales showed an increasing trend in the northwest and a decreasing trend in the southeast. Evergreen broadleaved forests were the dominant type driving the increase in surface albedo and forest greening (contributing >55%). (3) From 2001 to 2022, the surface albedo of Guizhou's stable forests exhibited a significant positive correlation (P<0.05) with EVI and FVC, indicating that forest greening did not reduce surface albedo but rather enhanced its shortwave radiation reflectance capacity. Among forest types, evergreen broadleaved forests demonstrate the most pronounced positive driving effect. 

Key words: Surface albedo, Enhanced vegetation index, Fractional vegetation cover, Spatiotemporal variation, Vegetation greenness