Allometric relationships for Quercus gambelii and Robinia neomexicana for biomass estimation following disturbance

Abstract In the southwestern USA, increases in size, frequency, and severity of wildfire are driving the conversion of forests to shrub‐dominated ecosystems. Increases in drought extent and severity, coupled with the way that shrub‐dominated systems are perpetuated by high‐severity fire, predisposes...

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Main Authors: Dan J. Krofcheck, Marcy E. Litvak, Matthew D. Hurteau
Format: Article
Language:English
Published: Wiley 2019-10-01
Series:Ecosphere
Subjects:
oak
Online Access:https://doi.org/10.1002/ecs2.2905
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spelling doaj-5a0607c9fbcf40ae95ddea752580171a2020-11-25T02:48:03ZengWileyEcosphere2150-89252019-10-011010n/an/a10.1002/ecs2.2905Allometric relationships for Quercus gambelii and Robinia neomexicana for biomass estimation following disturbanceDan J. Krofcheck0Marcy E. Litvak1Matthew D. Hurteau2Department of Biology University of New Mexico Albuquerque New Mexico USADepartment of Biology University of New Mexico Albuquerque New Mexico USADepartment of Biology University of New Mexico Albuquerque New Mexico USAAbstract In the southwestern USA, increases in size, frequency, and severity of wildfire are driving the conversion of forests to shrub‐dominated ecosystems. Increases in drought extent and severity, coupled with the way that shrub‐dominated systems are perpetuated by high‐severity fire, predisposes these post‐disturbance landscapes to remain in a non‐forest condition. Consequently, understanding the distribution of aboveground biomass in post‐disturbance, shrub‐dominated ecosystems is central to constraining the uncertainty surrounding how these ecosystems interact with light and water to sequester carbon. Here we present allometric regressions for Quercus gambelii (Gambel oak) and Robinia neomexicana (New Mexico locust), two species that dominate post‐fire landscapes in the southwestern USA. Our allometric regressions are designed to be driven by either field plot or high‐resolution remote sensing data, using either shrub area or shrub volume to estimate biomass.https://doi.org/10.1002/ecs2.2905allometrybiomasslocustoakQuercus gambeliiremote sensing
collection DOAJ
language English
format Article
sources DOAJ
author Dan J. Krofcheck
Marcy E. Litvak
Matthew D. Hurteau
spellingShingle Dan J. Krofcheck
Marcy E. Litvak
Matthew D. Hurteau
Allometric relationships for Quercus gambelii and Robinia neomexicana for biomass estimation following disturbance
Ecosphere
allometry
biomass
locust
oak
Quercus gambelii
remote sensing
author_facet Dan J. Krofcheck
Marcy E. Litvak
Matthew D. Hurteau
author_sort Dan J. Krofcheck
title Allometric relationships for Quercus gambelii and Robinia neomexicana for biomass estimation following disturbance
title_short Allometric relationships for Quercus gambelii and Robinia neomexicana for biomass estimation following disturbance
title_full Allometric relationships for Quercus gambelii and Robinia neomexicana for biomass estimation following disturbance
title_fullStr Allometric relationships for Quercus gambelii and Robinia neomexicana for biomass estimation following disturbance
title_full_unstemmed Allometric relationships for Quercus gambelii and Robinia neomexicana for biomass estimation following disturbance
title_sort allometric relationships for quercus gambelii and robinia neomexicana for biomass estimation following disturbance
publisher Wiley
series Ecosphere
issn 2150-8925
publishDate 2019-10-01
description Abstract In the southwestern USA, increases in size, frequency, and severity of wildfire are driving the conversion of forests to shrub‐dominated ecosystems. Increases in drought extent and severity, coupled with the way that shrub‐dominated systems are perpetuated by high‐severity fire, predisposes these post‐disturbance landscapes to remain in a non‐forest condition. Consequently, understanding the distribution of aboveground biomass in post‐disturbance, shrub‐dominated ecosystems is central to constraining the uncertainty surrounding how these ecosystems interact with light and water to sequester carbon. Here we present allometric regressions for Quercus gambelii (Gambel oak) and Robinia neomexicana (New Mexico locust), two species that dominate post‐fire landscapes in the southwestern USA. Our allometric regressions are designed to be driven by either field plot or high‐resolution remote sensing data, using either shrub area or shrub volume to estimate biomass.
topic allometry
biomass
locust
oak
Quercus gambelii
remote sensing
url https://doi.org/10.1002/ecs2.2905
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