文章摘要
易永力,张弈悟哲,盖宇函,谭国明,杨雷斌,李艳君.塞罕坝地区植被净初级生产力对气象干旱的响应研究[J].林业调查规划,2025,50(6):90-95
塞罕坝地区植被净初级生产力对气象干旱的响应研究
Response of Vegetation Net Primary Productivity toMeteorological Drought in Saihanba Region
  
DOI：
中文关键词: 植被净初级生产力  气象干旱综合指数  Morlet 小波分析  塞罕坝地区
英文关键词: vegetation net primary productivity  meteorological drought composite index  Morlet wavelet analysis  Saihanba region
基金项目:
作者单位
易永力 承德市气象局,河北 承德 067000 
张弈悟哲 承德市气象局,河北 承德 067000 
盖宇函 承德市气象局,河北 承德 067000 
谭国明 承德市气象局,河北 承德 067000 
杨雷斌 承德市气象局,河北 承德 067000 
李艳君 承德护理职业学院,河北 承德 067000 
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中文摘要:
      利用气象干旱综合指数和MODIS产品,辅以趋势分析、相关分析和Morlet小波分析等方法,研究2000—2020年塞罕坝地区植被净初级生产力(NPP) 与气象干旱综合指数序列(MCI) 的相关性,以及1951—2023年干旱强度的年际变化特征。结果表明,植被NPP 以6.830 5 gC/(m2·a) 的 速率递增,趋势通过了99%显著性检验。MCI累加值与植被NPP呈正相关关系,年度MCI累加值与植被NPP的相关性最强,而生长期内的干旱对植被NPP的影响要远大于非生长期,NPP的变化受干旱强度的影响较小,受较长时间干旱的影响较大。从年际曲线上看,MCI累加值以1.005的年 度倾向率上升,干旱强度降低趋势明显,并通过了99%显著性检验,而通过Morlet小波分析发现,按照干旱时间周期推算,塞罕坝地区未来较长时间内还将处于偏干旱的气候背景下。
英文摘要:
      Utilizing the meteorological drought composite index(MCI) and MODIS products, supplemented by methods such as trend analysis, correlation analysis, and Morlet wavelet analysis, this study analyzed the correlation between vegetation net primary productivity(NPP) and the MCI series from 2000 to 2020, as well as the interannual variation characteristics of drought intensity from 1951 to 2023 in the Saihanba region. The results showed that vegetation NPP increased at a rate of 6.830 5 gC/m2·a, a trend that passed the significance test at the 99% confidence level. The accumulated MCI value was positively correlated with vegetation NPP, with the annual accumulated MCI value showing the strongest correlation. Drought during the growing season had a far greater impact on vegetation NPP than drought during the non-growing season. Changes in NPP were less influenced by short-term drought intensity and more significantly affected by prolonged drought conditions. From the interannual curve, the accumulated MCI value trended upward at an annual rate of 1. 005, indicating a significant decreasing trend in drought intensity, which passed the 99% significance test. However, Morlet wavelet analysis revealed that, based on the drought cycle projection, the Saihanba region was expected to remain in a relatively arid climatic background for an extended period in the future.
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