Allometric biomass estimators for aspen-dominated ecosystems in the upper Great Lakes.

Perala, Donald A.; Alban, David H.

doi:10.2737/nc-rp-314

Cited by 92 publications

(88 citation statements)

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“…(a> Perala and Alban (1994) reported two relationships for some species: height versus DBH and biomass component versus DBH and height. Since both relationships were fitted with data from the same sample, we substituted the first relationship for the height term in the second relationship.…”

Section: Methodsmentioning

confidence: 99%

“…Denotations used for sites for which the authors provided a qualitative assessment are defined in Appendix A. It should be noted that for some species, Perala and Alban (1994) reported the basic equations and correction factors for specific sites; for these species, only parameters for the basic equation are included in Appendix A.…”

Section: Site Index (Si)mentioning

confidence: 99%

“…n/a n/a n/a n/a n/a n/a n/a n/a n/a Ker, 1980aPerala and Alban, 1994Hacker and Earley, 1983Ker, 1980aHacker and Earley, 1983Ker, 1980aPerala and Alban, 1994Hacker and Earley, 1983Ker, 1980a Nova Campbell et al, 1985Campbell et al, 1985Campbell et al, 1985Campbell et al. 1985Freedman et al, 1982Johnston and Bartos, 1977b Ker, 1980bKer, 1984MacLean and Wein, 1976Pastor and Bockheim, 1981Perala and Alban, 1994Peterson et al, 1970Young et al, 1980Freedman et al, 1982Johnston and Bartos, 1977b Ker, 1980bKer, 1984Pastor and Bockheim, 1981 '% n/a 31 n/a n/a talc n/a 31 n/a n/a talc n/a 31 n/a n/a talc n/a 5 0.984 0. Ker, 1980aWhittaker et at., 1974Ker, 1980aWhittaker et al, 1974Hacker and Earley, 1983Ker, 1980aRibe, 1973Whittaker et at.. 1974Young et al, 1980Hacker and Earley, 1983Ker, 1980aRibe, 1973Young et al, 1980Hacker and Earley, 1983Ker, 1980aRibe, 1973Whittaker et al, 1974Young et al.…”

Section: Acknowledgementsmentioning

confidence: 99%

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Biomass equations for sixty-five North American tree species

Ter‐Mikaelian

Korzukhin

1997

Forest Ecology and Management

687

347

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The paper presents a comprehensive review of the biomass equations for 65 North American tree species. All equations are of the form M = a@, where M is the oven-dry weight of the biomass component of a tree (kg), D is diameter at breast height (DBH) (cm), and a and b are parameters. Equations for the following tree components were included in the review: total aboveground biomass, stem wood, stem bark, total stem (wood and bark), foliage, and branches (wood and bark). A total of 803 equations are presented with the range of DBH values of the sample, sample size, coefficient of determination R2, standard error of the estimate, fitting method used to estimate the parameters a and b, correction factor for a bias introduced by logarithmic transformation of the data, site index and geographic location of the sampled stand(s), and a reference to the paper in which the equation (or the data) was published. The review is a unique source of equations that can be used to estimate tree biomass and/or to study the variation of biomass components for a tree species. 0 1997 Elsevier Science B.V.

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Section: Methodsmentioning

confidence: 99%

Section: Site Index (Si)mentioning

confidence: 99%

Section: Acknowledgementsmentioning

confidence: 99%

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Biomass equations for sixty-five North American tree species

Ter‐Mikaelian

Korzukhin

1997

Forest Ecology and Management

687

347

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“…Because of the large amount of studies that document such equations, it becomes important to be able to correctly identify the most representative equations. Typically, biomass allometry studies either focus on one or a select few species across multiple regions or biomes [25][26][27][28]; for multiple species that belong to a particular region or ecosystem [3,22,[29][30][31][32]; or constitute literature that focuses on compiling multiple studies [12,13,33,34]. The cited examples are not meant to be exhaustive, in fact hardly so, since studies, especially of the first two types, easily number in the hundreds.…”

Section: Using Existing Allometric Equationsmentioning

confidence: 99%

Uncertainty of Forest Biomass Estimates in North Temperate Forests Due to Allometry: Implications for Remote Sensing

et al. 2013

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Estimates of above ground biomass density in forests are crucial for refining global climate models and understanding climate change. Although data from field studies can be aggregated to estimate carbon stocks on global scales, the sparsity of such field data, temporal heterogeneity and methodological variations introduce large errors. Remote sensing measurements from spaceborne sensors are a realistic alternative for global carbon accounting; however, the uncertainty of such measurements is not well known and remains an active area of research. This article describes an effort to collect field data at the Harvard and Howland Forest sites, set in the temperate forests of the Northeastern United States in an attempt to establish ground truth forest biomass for calibration of remote sensing measurements. We present an assessment of the quality of ground truth biomass estimates derived from three different sets of diameter-based allometric equations over the Harvard and Howland Forests to establish the contribution of errors in ground truth data to the error in biomass estimates from remote sensing measurements.

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“…Ontario (Alemdag 1984), the Upper Great Lakes (Perala and Alban 1994), and Wisconsin (Pastor andBockheim 1981, Chapman andGower 1991). See also a review paper by TerMikaelian and Korzukhin (1997).…”

Section: --mentioning

confidence: 99%

Predictive equations for leaf area and biomass for sugar bushes in eastern Ontario

Ter‐Mikaelian¹,

Lautenschlager²

2001

The Forestry Chronicle

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In January 1998, an extensive ice storm caused severe damage to sugar bushes in Eastern Ontario. Foliage biomass and foliage area estimates were required to assess effects of the ice storm and remedial treatments on variables related to sugar maple production. Equations were developed to predict leaf biomass of undamaged individual sugar maple trees in the ice-damaged area. The data were collected in early to mid-August 2000 in eastern Ontario. Basal diameter of all third-order branches of 22 trees from two stands was measured, along with tree DBH, total height, and height to the base of live crown. In addition, foliage was collected from two branches (one from the lower and one from the upper part of each tree's crown). Samples were used to develop equations predicting leaf biomass (ovendried weight) of individual branches from their basal diameter. These equations were applied to estimate total leaf biomass of individual trees, and the resulting estimates were used to develop equations predicting leaf biomass from DBH and the number of branches per tree. Tne resulting equations accounted for over 90% of the variation in leaf biomass of individual trees. Leaf biomass-DBH equations for the two stands were significantly different (P < 0.0001), while no significant difference was detected in the leaf biomass-number of branches equations (P = 0.1573) for the two stands.Key words: allometric equation, branch basal diameter, DBH, ice damage, leaf area, leaf biomass, sugar maple (Acer saccharum Marsh.)En janvier 1998, une forte tempcte de verglas a caust des dommages importants aux Crablikres de l'est de I'Ontario. Les estimts de la biomasse et de la surface foliaire Ctaient requis pour Cvaluer les effets de la tempcte de verglas et identifier les traitements correctifs en fonction des variables relikes B la production acCricole. Des Cquations ont Ct C dCveloppCes pour prCdire la biomasse de chaque Crable B sucre endommag6 dans la zone sinistrke. Les donnees ont Ct C recueillies entre le dCbut et la mi-aoGt 2000 dans I'est de l'ontario. Le diamktre prks du tronc des branches tertiaires de 22 arbres rCpartis dans deux peuplements a Ct C mesure, ainsi que le dhp de l'arbre, sa hauteur totale et la distance entre le sol et le dCbut de la cime verte. De plus, le feuillage a Ctt recueilli sur deux branches (l'une situCe dans la partie infkrieure et I'autre dans la partie suptrieure de la cime de chacun des arbres). Des tchantillons ont Ct C utilisCs pour Claborer des Cquations de prediction de la biomasse foliaire (poids sec au four) de chaque branche B partir de leur diamktre prks du tronc. Ces Cquations ont kt6 utilisCes pour estirner la biomasse foliaire totale de chaque arbre, et les rCsultats obtenus ont semi B 1'Claboration d'kquations de prediction de la biomasse foliaire 2 partir du dhp et du nombre de branches par arbre. Les Cquations ainsi obtenues tenaient compte de 90 % des cas de variation de la biomasse foliaire de chaque arbre. Les Cquations de biomasse foliaire en fonction du dhp pour les deux peuplements C...

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Allometric biomass estimators for aspen-dominated ecosystems in the upper Great Lakes.

Cited by 92 publications

References 0 publications

Biomass equations for sixty-five North American tree species

Biomass equations for sixty-five North American tree species

Uncertainty of Forest Biomass Estimates in North Temperate Forests Due to Allometry: Implications for Remote Sensing

Predictive equations for leaf area and biomass for sugar bushes in eastern Ontario

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