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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Main Authors: Aaron M. Sparks, Crystal A. Kolden, Alan F. Talhelm, Alistair M.S. Smith, Kent G. Apostol, Daniel M. Johnson, Luigi Boschetti
Format: Article
Language:English
Published: MDPI AG 2016-07-01
Series:Remote Sensing
Subjects:
Online Access:http://www.mdpi.com/2072-4292/8/7/572
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spelling 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
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