首页> 外文期刊>International Journal of Wildland Fire >Estimation of post-fire vegetation recovery in boreal forests using solar-induced chlorophyll fluorescence (SIF) data
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Estimation of post-fire vegetation recovery in boreal forests using solar-induced chlorophyll fluorescence (SIF) data

机译:太阳能诱导叶绿素荧光(SIF)数据估算北方森林后植被恢复的估算

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摘要

The estimation of post-fire vegetation recovery is essential for forest management and wildfire policy-making. In the last few decades, vegetation indices have been widely used to monitor post-fire vegetation recovery by comparison with the pre-fire state. In this study, vegetation recovery is estimated using Solar-Induced chlorophyll Fluorescence (SIF), which is a by-product of photosynthesis and can reflect the physiological characteristics of a plant. We found that 20 years is insufficient for vegetation recovery, as the SIF within burned areas exhibited a significant increasing trend, which was most notable within the first 6 to 10 years after a wildfire. When comparing the SIF within and outside burned areas, we found that, during the first 3 to 6 years, SIF values outside burned areas were larger than that within burned areas; however, after similar to 6 years, the SIF within the burned areas exceeded that outside burned areas owing to the different carbon sequestration intensities of different vegetation recovery stages. Field photos of recovering vegetation were then compared with the Enhanced Vegetation Index (EVI) trend within the burned area, and it was found that, although the EVI reached pre-fire levels or stabilised, vegetation recovery was continuing.
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  • 作者单位

    Northeast Normal Univ Sch Geog Sci Minist Educ Key Lab Geog Proc &

    Ecol Secur Changbai Mt Changchun 130024 Peoples R China;

    Chinese Acad Sci Northeast Inst Geog &

    Agr Ecol Changchun 130102 Peoples R China;

    Northeast Normal Univ Sch Geog Sci Minist Educ Key Lab Geog Proc &

    Ecol Secur Changbai Mt Changchun 130024 Peoples R China;

    Natl Inst Environm Studies Ctr Global Environm Res Tsukuba Ibaraki 3058506 Japan;

    Northeast Normal Univ Sch Geog Sci Minist Educ Key Lab Geog Proc &

    Ecol Secur Changbai Mt Changchun 130024 Peoples R China;

    Northeast Normal Univ Sch Geog Sci Minist Educ Key Lab Geog Proc &

    Ecol Secur Changbai Mt Changchun 130024 Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 林业;
  • 关键词

    boreal forest; fire CCI; forest fire; MODIS EVI; post-fire vegetation recovery; SIF;

    机译:北方森林;火CCI;森林火灾;MODIS EVI;火后植被恢复;SIF;

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