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小兴安岭南部臭冷杉红松林树轮指数记录的7月NDVI变化

张旭 宋文琦 赵慧颖 朱良军 王晓春

北京林业大学学报2018,Vol.40Issue(12):9-17,9.
北京林业大学学报2018,Vol.40Issue(12):9-17,9.DOI:10.13332/j.1000-1522.20180295

小兴安岭南部臭冷杉红松林树轮指数记录的7月NDVI变化

Variation of July NDVI recorded by tree-ring index of Pinus koraiensis and Abies nephrolepis forests in the southern Xiaoxing'an Mountains of northeastern China

张旭 1宋文琦 1赵慧颖 2朱良军 1王晓春1

作者信息

  • 1. 东北林业大学林学院,黑龙江 哈尔滨 150040
  • 2. 黑龙江省气象科学研究所,黑龙江 哈尔滨 150030
  • 折叠

摘要

Abstract

[Objective]The normalized difference vegetation index (NDVI) is one of the most widely used remote sensing data and has been widely used in the estimation of the net primary productivity (NPP) . But the shortcoming of NDVI is that the actual measured data are relatively short.Reconstruction of NDVI sequences based on tree-ring data can compensate for the shortcomings of NDVI time series to some extent. [Method]This study analyzed the potential relationship between NDVI and tree ring width data of Pinus koraiensis, Abies nephrolepis and Quercus mongolica in the Danqinghe ForestFarm in the southern Xiaoxing'an Mountains of northeastern China, and attempted to reconstruct the past NDVI changes in Xiaoxing'an Mountains. [Result]The results showed that the standard chronologies of Pinus koraiensis, Abies nephrolepis and Quercus mongolica were significantly positively correlated with NDVI in July of current year. The correlation between the synthesized chronology of multiple species in the plot and the NDVI in July was higher than that of each single species. The synthesized chronology of multiple species and the NDVI in July have a consistent correlation with climatic factors (temperature and precipitation) , they are positively correlated with temperature from October of the previous year to March of the growing year and negatively correlated with temperature from April to July of growing year.Therefore, we reconstructed the past 115 years NDVI in July according to the relationship between synthesized chronology and NDVI in July and using the linear regression model to fit the equation. The linear regression model can explain a variance amounted to 42. 6% (R2 adj= 0. 401, F = 17. 08, P <0. 000 1) . The NDVI reconstruction showed that there were two high-value periods (1967-1978, 1986-1995) and three low-value periods (1920-1925, 1949-1954, 1999-2004) since 1900. The low value period of NDVI coincided with the historical record of drought, so drought may be the main cause of low NDVI values. In addition, factors such as deforestation and forest fire may also lead to the decrease of NDVI value. [Conclusion] It is worth noting that the NDVI projection range and multi-species combinations should be considered to reduce reconstruction errors when establishing the relationship between tree rings and NDVI.

关键词

小兴安岭/归一化植被指数/树木年轮/重建

Key words

Xiaoxing'an Mountains/NDVI/tree-ring/reconstruction

分类

农业科技

引用本文复制引用

张旭,宋文琦,赵慧颖,朱良军,王晓春..小兴安岭南部臭冷杉红松林树轮指数记录的7月NDVI变化[J].北京林业大学学报,2018,40(12):9-17,9.

基金项目

国家自然科学基金面上项目(41877426、41471168) (41877426、41471168)

中央高校基本科研业务费专项(2572016AA32) (2572016AA32)

北京林业大学学报

OA北大核心CSCDCSTPCD

1000-1522

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