Spectral Indices Accurately Quantify Changes in Seedling Physiology Following Fire: Towards Mechanistic Assessments of Post-Fire Carbon Cycling
Fire activity, in terms of intensity, frequency, and total area burned, is expected to increase with a changing climate. A challenge for landscape-level assessment of fire effects, often termed burn severity, is that current remote sensing assessments provide very little information regarding tree/ve...
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doaj-af11672291d74068914a1896e8a5cee12020-11-24T22:40:33ZengMDPI AGRemote Sensing2072-42922016-07-018757210.3390/rs8070572rs8070572Spectral Indices Accurately Quantify Changes in Seedling Physiology Following Fire: Towards Mechanistic Assessments of Post-Fire Carbon CyclingAaron M. Sparks0Crystal A. Kolden1Alan F. Talhelm2Alistair M.S. Smith3Kent G. Apostol4Daniel M. Johnson5Luigi Boschetti6College of Natural Resources, University of Idaho, Moscow, ID 83844, USACollege of Natural Resources, University of Idaho, Moscow, ID 83844, USAOak Ridge Institute for Science Education, National Center for Environmental Assessment, US Environmental Protection Agency, Research Triangle Park, NC 277094, USACollege of Natural Resources, University of Idaho, Moscow, ID 83844, USACollege of Agriculture and Life Sciences, University of Arizona, Payson, AZ 85541, USACollege of Natural Resources, University of Idaho, Moscow, ID 83844, USACollege of Natural Resources, University of Idaho, Moscow, ID 83844, USAFire activity, in terms of intensity, frequency, and total area burned, is expected to increase with a changing climate. A challenge for landscape-level assessment of fire effects, often termed burn severity, is that current remote sensing assessments provide very little information regarding tree/vegetation physiological performance and recovery, limiting our understanding of fire effects on ecosystem services such as carbon storage/cycling. In this paper, we evaluated whether spectral indices common in vegetation stress and burn severity assessments could accurately quantify post-fire physiological performance (indicated by net photosynthesis and crown scorch) of two seedling species, Larix occidentalis and Pinus contorta. Seedlings were subjected to increasing fire radiative energy density (FRED) doses through a series of controlled laboratory surface fires. Mortality, physiology, and spectral reflectance were assessed for a month following the fires, and then again at one year post-fire. The differenced Normalized Difference Vegetation Index (dNDVI) spectral index outperformed other spectral indices used for vegetation stress and burn severity characterization in regard to leaf net photosynthesis quantification, indicating that landscape-level quantification of tree physiology may be possible. Additionally, the survival of the majority of seedlings in the low and moderate FRED doses indicates that fire-induced mortality is more complex than the currently accepted binary scenario, where trees survive with no impacts below a certain temperature and duration threshold, and mortality occurs above the threshold.http://www.mdpi.com/2072-4292/8/7/572fireremote sensingseveritycarbonrecoverymortality |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Aaron M. Sparks Crystal A. Kolden Alan F. Talhelm Alistair M.S. Smith Kent G. Apostol Daniel M. Johnson Luigi Boschetti |
spellingShingle |
Aaron M. Sparks Crystal A. Kolden Alan F. Talhelm Alistair M.S. Smith Kent G. Apostol Daniel M. Johnson Luigi Boschetti Spectral Indices Accurately Quantify Changes in Seedling Physiology Following Fire: Towards Mechanistic Assessments of Post-Fire Carbon Cycling Remote Sensing fire remote sensing severity carbon recovery mortality |
author_facet |
Aaron M. Sparks Crystal A. Kolden Alan F. Talhelm Alistair M.S. Smith Kent G. Apostol Daniel M. Johnson Luigi Boschetti |
author_sort |
Aaron M. Sparks |
title |
Spectral Indices Accurately Quantify Changes in Seedling Physiology Following Fire: Towards Mechanistic Assessments of Post-Fire Carbon Cycling |
title_short |
Spectral Indices Accurately Quantify Changes in Seedling Physiology Following Fire: Towards Mechanistic Assessments of Post-Fire Carbon Cycling |
title_full |
Spectral Indices Accurately Quantify Changes in Seedling Physiology Following Fire: Towards Mechanistic Assessments of Post-Fire Carbon Cycling |
title_fullStr |
Spectral Indices Accurately Quantify Changes in Seedling Physiology Following Fire: Towards Mechanistic Assessments of Post-Fire Carbon Cycling |
title_full_unstemmed |
Spectral Indices Accurately Quantify Changes in Seedling Physiology Following Fire: Towards Mechanistic Assessments of Post-Fire Carbon Cycling |
title_sort |
spectral indices accurately quantify changes in seedling physiology following fire: towards mechanistic assessments of post-fire carbon cycling |
publisher |
MDPI AG |
series |
Remote Sensing |
issn |
2072-4292 |
publishDate |
2016-07-01 |
description |
Fire activity, in terms of intensity, frequency, and total area burned, is expected to increase with a changing climate. A challenge for landscape-level assessment of fire effects, often termed burn severity, is that current remote sensing assessments provide very little information regarding tree/vegetation physiological performance and recovery, limiting our understanding of fire effects on ecosystem services such as carbon storage/cycling. In this paper, we evaluated whether spectral indices common in vegetation stress and burn severity assessments could accurately quantify post-fire physiological performance (indicated by net photosynthesis and crown scorch) of two seedling species, Larix occidentalis and Pinus contorta. Seedlings were subjected to increasing fire radiative energy density (FRED) doses through a series of controlled laboratory surface fires. Mortality, physiology, and spectral reflectance were assessed for a month following the fires, and then again at one year post-fire. The differenced Normalized Difference Vegetation Index (dNDVI) spectral index outperformed other spectral indices used for vegetation stress and burn severity characterization in regard to leaf net photosynthesis quantification, indicating that landscape-level quantification of tree physiology may be possible. Additionally, the survival of the majority of seedlings in the low and moderate FRED doses indicates that fire-induced mortality is more complex than the currently accepted binary scenario, where trees survive with no impacts below a certain temperature and duration threshold, and mortality occurs above the threshold. |
topic |
fire remote sensing severity carbon recovery mortality |
url |
http://www.mdpi.com/2072-4292/8/7/572 |
work_keys_str_mv |
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