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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Online Access: | https://doi.org/10.1002/ecs2.2905 |
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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 |
work_keys_str_mv |
AT danjkrofcheck allometricrelationshipsforquercusgambeliiandrobinianeomexicanaforbiomassestimationfollowingdisturbance AT marcyelitvak allometricrelationshipsforquercusgambeliiandrobinianeomexicanaforbiomassestimationfollowingdisturbance AT matthewdhurteau allometricrelationshipsforquercusgambeliiandrobinianeomexicanaforbiomassestimationfollowingdisturbance |
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