scholarly journals Developing Allometric Equations for Estimating Shrub Biomass in a Boreal Fen

Forests ◽  
2018 ◽  
Vol 9 (9) ◽  
pp. 569 ◽  
Author(s):  
Annie He ◽  
Gregory McDermid ◽  
Mir Rahman ◽  
Maria Strack ◽  
Saraswati Saraswati ◽  
...  
Keyword(s):  
Aboveground Biomass ◽  
General Equation ◽  
Generalized Equation ◽  
Allometric Equations ◽  
Large Component ◽  
Boreal Peatlands ◽  
Different Types ◽  
Shrub Biomass ◽  
Leafy Biomass ◽  
Salix Spp

Allometric equations for estimating aboveground biomass (AGB) from easily measured plant attributes are unavailable for most species common to mid-continental boreal peatlands, where shrubs comprise a large component of the vegetation community. Our study develops allometric equations for three dominant genera found in boreal fens: Alnus spp. (alder), Salix spp. (willow) and Betula pumila (bog birch). Two different types of local equations were developed: (1) individual equations based on genus/phylogeny, and (2) a general equation that pooled all individuals regardless of genera. The general equation had a R2 = 0.97 (n = 82), and was not significantly different (p > 0.05) than any of the phylogenetic equations. This indicated that a single generalized equation is sufficient in estimating AGB for all three genera occurring in our study area. A closer look at the performance of the general equation revealed that smaller stems were predicted less accurately than larger stems because of the higher variability of leafy biomass found in small individuals. Previously published equations developed in other ecoregions did not perform as well as our local equations.

scholarly journals Allometric Equation Development, Biomass, and Aboveground Productivity in Ponderosa Pine Forests, Black Hills, Wyoming

2010 ◽  
Vol 25 (3) ◽  
pp. 112-119 ◽  
Author(s):  
Daniel Tinker ◽  
Gail K. Stakes ◽  
Richard M. Arcano
Keyword(s):  
Carbon Storage ◽  
Ponderosa Pine ◽  
Aboveground Biomass ◽  
Carbon Allocation ◽  
Black Hills ◽  
Allometric Equations ◽  
Pine Forests ◽  
Mature Trees ◽  
Ponderosa Pine Forests ◽  
Aboveground Productivity

Abstract Temperate forest ecosystems continue to play an important role in the global carbon cycle, and the ability to accurately quantify carbon storage and allocation remains a critical tool for managers and researchers. This study was aimed at developing new allometric equations for predicting above- and belowground biomass of both mature trees and saplings of ponderosa pine trees in the Black Hills region of the western United States and at evaluating thinning effects on biomass pools and aboveground productivity. Study sites included three stands that had been commercially thinned and one unmanaged stand. Nine allometric equations were developed for mature trees, and six equations were developed for saplings; all models exhibited strong predictive power. The unmanaged stand contained more than twice as much total aboveground biomass as any of the thinned stands. Aboveground biomass allocation among tree compartments was similar among the three older stands but quite different from the young, even-aged stand. Stand-level aboveground net primary production was higher in the unmanaged and intensively managed stands, yet tree-level annual productivity was much lower in the unmanaged stands than in any of the managed forests, suggesting that thinning of some forest stands may increase their ability to sequester and store carbon. Our data also suggest that different management approaches did not have the same effect on carbon allocation as they did on total carbon storage capacity, but rather, stand age was the most important factor in predicting carbon allocation within individual trees and stands. Identification of the relationships between stand structure and forest management practices may help identify various management strategies that maximize rates of carbon storage in ponderosa pine forests.

scholarly journals Allometric Equations for the Aboveground Biomass of Selected Common Eastern Hardwood Understory Species

2010 ◽  
Vol 27 (4) ◽  
pp. 160-165 ◽  
Author(s):  
Yvette L. Dickinson ◽  
Eric K. Zenner
Keyword(s):  
Aboveground Biomass ◽  
Dry Weight ◽  
Vaccinium Corymbosum ◽  
Allometric Equations ◽  
Forest Understory ◽  
Rosa Multiflora ◽  
Basal Diameter ◽  
Understory Species ◽  
Elaeagnus Umbellata ◽  
Fit Index

Abstract Allometric equations were formulated for predicting the aboveground biomass of six groups of forest understory species (Elaeagnus umbellata Thunb.], blueberry [Vaccinium angustifolium Aiton, Vaccinium corymbosum L., and Vaccinium pallidum Aiton], hawthorn [Crataegus spp.], honeysuckle [Lonicera spp.], multiflora rose [Rosa multiflora Thunb.], and viburnum [Viburnum acerifolium L. and Viburnum dentatum L.]) common to Eastern hardwoods using basal diameter and/or height. As measured by fit index, basal diameter or height alone explained between 51 and 93% of the variation in oven-dry weight; this increased to 75‐96% when both basal diameter and height were used as predictors. Data were collected at four sites throughout Pennsylvania, but an evaluation of the importance of site as a blocking factor found site not to be statistically significant; therefore, the equations presented here may be used in a variety of forested sites within the greater mid-Atlantic region.

scholarly journals Aboveground biomass allometric equations and distribution of carbon stocks of the African oak (Afzelia africana Sm.) in Burkina Faso

2019 ◽  
Vol 31 (5) ◽  
pp. 1699-1711
Author(s):  
Larba Hubert Balima ◽  
Blandine Marie Ivette Nacoulma ◽  
Philippe Bayen ◽  
Kangbéni Dimobe ◽  
François N’Guessan Kouamé ◽  
...  
Keyword(s):  
Burkina Faso ◽  
Aboveground Biomass ◽  
Carbon Stocks ◽  
Allometric Equations ◽  
Afzelia Africana

Species-specific allometric equations for improving aboveground biomass estimates of dry deciduous woodland ecosystems

2018 ◽  
Vol 30 (5) ◽  
pp. 1619-1632
Author(s):  
Amsalu Abich ◽  
Tadesse Mucheye ◽  
Mequanent Tebikew ◽  
Yohanns Gebremariam ◽  
Asmamaw Alemu
Keyword(s):  
Aboveground Biomass ◽  
Allometric Equations ◽  
Deciduous Woodland ◽  
Species Specific

Allometric equations for estimating the aboveground biomass of bamboos in northern Laos

2019 ◽  
Vol 24 (2) ◽  
pp. 115-119 ◽  
Author(s):  
Singkone Xayalath ◽  
Isao Hirota ◽  
Shinsuke Tomita ◽  
Michiko Nakagawa
Keyword(s):  
Aboveground Biomass ◽  
Allometric Equations

scholarly journals Allometric Equations for Shrub and Short-Stature Tree Aboveground Biomass within Boreal Ecosystems of Northwestern Canada

Forests ◽  
2020 ◽  
Vol 11 (11) ◽  
pp. 1207
Author(s):  
Linda Flade ◽  
Christopher Hopkinson ◽  
Laura Chasmer
Keyword(s):  
Short Stature ◽  
Aboveground Biomass ◽  
Woody Plant ◽  
Allometric Equations ◽  
Total Carbon ◽  
Stem Length ◽  
Variable Cross ◽  
Boreal Ecosystems ◽  
Small Stature ◽  
Dimensional Variable

Aboveground biomass (AGB) of short-stature shrubs and trees contain a substantial part of the total carbon pool within boreal ecosystems. These ecosystems, however, are changing rapidly due to climate-mediated atmospheric changes, with overall observed decline in woody plant AGB in boreal northwestern Canada. Allometric equations provide a means to quantify woody plant AGB and are useful to understand aboveground carbon stocks as well as changes through time in unmanaged boreal ecosystems. In this paper, we provide allometric equations, regression coefficients, and error statistics to quantify total AGB of shrubs and short-stature trees. We provide species- and genus-specific as well as multispecies allometric models for shrub and tree species commonly found in northwestern boreal forest and peatland ecosystems. We found that the three-dimensional field variable (volume) provided the most accurate prediction of shrub multispecies AGB (R2 = 0.79, p < 0.001), as opposed to the commonly used one-dimensional variable (basal diameter) measured on the longest and thickest stem (R2 = 0.23, p < 0.001). Short-stature tree AGB was most accurately predicted by stem diameter measured at 0.3 m along the stem length (R2 = 0.99, p < 0.001) rather than stem length (R2 = 0.29, p < 0.001). Via the two-dimensional variable cross-sectional area, small-stature shrub AGB was combined with small-stature tree AGB within one single allometric model (R2 = 0.78, p < 0.001). The AGB models provided in this paper will improve our understanding of shrub and tree AGB within rapidly changing boreal environments.

scholarly journals Estimating Aboveground Biomass for Broadleaf Woody Plants and Young Conifers in Sierra Nevada, California, Forests

2010 ◽  
Vol 25 (4) ◽  
pp. 203-209 ◽  
Author(s):  
Thomas W. McGinnis ◽  
Christine D. Shook ◽  
Jon E. Keeley
Keyword(s):  
Sierra Nevada ◽  
Natural Resource ◽  
Aboveground Biomass ◽  
Plant Biomass ◽  
Field Measurements ◽  
Wildlife Habitat ◽  
Allometric Equations ◽  
Accurate Estimation ◽  
Regression Equations ◽  
Crown Diameter

Abstract Quantification of biomass is fundamental to a wide range of research and natural resource management goals. An accurate estimation of plant biomass is essential to predict potential fire behavior, calculate carbon sequestration for global climate change research, assess critical wildlife habitat, and so forth. Reliable allometric equations from simple field measurements are necessary for efficient evaluation of plant biomass. However, allometric equations are not available for many common woody plant taxa in the Sierra Nevada. In this report, we present more than 200 regression equations for the Sierra Nevada western slope that relate crown diameter, plant height, crown volume, stem diameter, and both crown diameter and height to the dry weight of foliage, branches, and entire aboveground biomass. Destructive sampling methods resulted in regression equations that accurately predict biomass from one or two simple, nondestructive field measurements. The tables presented here will allow researchers and natural resource managers to easily choose the best equations to fit their biomass assessment needs.

Evaluating allometric shrub biomass equations fit to generated data

1985 ◽  
Vol 63 (1) ◽  
pp. 64-67 ◽  
Author(s):  
Gary J. Brand ◽  
W. Brad Smith
Keyword(s):  
Original Data ◽  
Single Equation ◽  
Biomass Equations ◽  
Species Groups ◽  
Hardwood Tree ◽  
Weighted Data ◽  
Tall Shrub ◽  
Shrub Biomass ◽  
Better Than ◽  
Salix Spp

Several published allometric biomass equations may be available for a particular species. For some applications a method is needed to produce a single equation for the species. Several investigators have produced such an equation by refitting the combined original data used to develop the separate equations. We evaluated a method, previously examined for several hardwood tree species, for producing an equation fit to data generated from the published equations when the original data are not available. For the three tall shrub species groups (Acer spicatum Lam., Amelanchier spp., and Salix spp.) examined, the generated weighted data equation fit the combined weighted data as well as or better than the published equations.

scholarly journals Intra-specific differences in allometric equations for aboveground biomass of eastern Mediterranean Pinus brutia

2013 ◽  
Vol 71 (1) ◽  
pp. 101-112 ◽  
Author(s):  
Sergio de-Miguel ◽  
Timo Pukkala ◽  
Nabil Assaf ◽  
Zuheir Shater
Keyword(s):  
Aboveground Biomass ◽  
Eastern Mediterranean ◽  
Allometric Equations ◽  
Pinus Brutia
Sign in / Sign up

Export Citation Format

Share Document