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

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 po...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Ecosphere (Washington, D.C) Ročník 10; číslo 10
Hlavní autoři: Krofcheck, Dan J., Litvak, Marcy E., Hurteau, Matthew D.
Médium: Journal Article
Jazyk:angličtina
Vydáno: Washington John Wiley & Sons, Inc 01.10.2019
Wiley Blackwell (John Wiley & Sons)
Wiley
Témata:
aboveground biomass
allometry
Biomass
Carbon
Carbon sequestration
Disturbance
Drought
Ecosystems
fire severity
Forest ecosystems
Forests
landscapes
locust
New Mexico
oak
Quercus gambelii
Remote sensing
Robinia neomexicana
Science programs
shrubs
spatial data
uncertainty
Vegetation
wildfire
Wildfires
New Mexico
United States > US
ISSN:2150-8925, 2150-8925
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí: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.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
7074628
USDOE
ISSN:2150-8925
2150-8925
DOI:10.1002/ecs2.2905