黑龙江省气象因子与落叶松植被净初级生产力相关性分析

doi:10.14088/j.cnki.issn0439-8114.2021.09.008

摘要/Abstract

摘要： 以2010年黑龙江省的气象数据（包括平均气温、降水量、平均风速和平均相对湿度）和落叶松的固定样地GPS点为数据来源,采用3种插值方法对气象数据进行插值分析,经比较验证后得到各气象因子对应的最优插值方法。根据黑龙江省2010年落叶松林的数据和东北地区树种生物量的异速模型获得落叶松人工林样地地上生物量和植被净初级生产力（NPP）,并对各气象因子与落叶松NPP的相关关系进行了分析。结果表明,降水量和平均气温对应的最优插值方法都是克里格插值法,平均风速和平均相对湿度的最优插值方法则分别为样条插值法和反距离权重法;黑龙江省落叶松植被NPP与各气象因子均为弱的正相关关系。其中,与平均气温的相关性最大,相关系数为0.304 11,与相对湿度的相关系数为0.293 02,与降水量的相关系数为0.235 18,与平均风速的相关性最小,相关系数为0.091 78。

关键词: 植被净初级生产力（NPP）, 气象因子, 落叶松, 相关性分析, 黑龙江省

Abstract: The main research area, and the meteorological data of Heilongjiang province in 2010, including the average temperature, precipitation, average wind speed and arerage relative humidity, as well as the fixed sample GPS point was selected as research date. Based on the meteorological data, three interpolation methods were used for interpolation analysis, and the optimal interpolation method corresponding to each meteorological factor was obtained after comparison and verification. Based on the meteorological data of Heilongjiang province in 2010 and the data of the fixed plot of larch forest and the allometric model of tree species in northeast China, the correlation between meteorological factors and net primary productivity of plants （NPP） of larch was studied. The results showed that, the optimal interpolation methods of the precipitation and mean temperature all were Kriging interpolation method, and the optimal interpolation methods of average wind speed and average relative humidity were the spline interpolation method and distance weight method respectively. NPP was weakly positively correlated with each meteorological factor. Among them, the correlation with the average temperature was the largest, and the correlation coefficient was 0.304 11. The correlation coefficient between NPP and relative humidity was 0.293 02, and the correlation coefficient with precipitation was 0.235 18. The correlation with the average wind speed was the smallest, and the correlation coefficient was 0.091 78.

Key words: net primary productivity of plants （NPP）, meteorological factors, larch, correlation analysis, Heilongjiang province

中图分类号:

S791.22

周雪. 黑龙江省气象因子与落叶松植被净初级生产力相关性分析[J]. 湖北农业科学, 2021, 60(9): 46-49.

ZHOU Xue. Correlation analysis of meteorological factors and net primary productivity of plants of larch in Heilongjiang province[J]. HUBEI AGRICULTURAL SCIENCES, 2021, 60(9): 46-49.

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