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Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

Foliage biomass equations were similar between the two zones.

Taxon
T. indicaTamarindus indicae0
Outcome
foliage biomasse0
Direction
similare0
Comparator
distribution zonese0
Setting
Burkina Fasoe0

Verbatim

e0

“Allometric equations to predict the foliage biomass of T. indica were similar for its distribution zones in Burkina Faso”

✓ located verbatim in the source · abstract, characters 1106–1226

Title

Allometric models to estimate foliage biomass ofTamarindus indicain Burkina Faso

Loyapin Bondé; Moussa Ganamé; Oumarou Ouédraogo; et al. Southern Forests a Journal of Forest Science 2017. doi:10.2989/20702620.2017.1292451

Other claims from this paper (3)
Method / resourceobservedoriginal resultnegativemeasured

Claim · model-written summary

DBH regressions predicted branch and foliage biomass poorly.

Outcome
biomass of branch and foliagee0
Direction
poore0
Comparator
DBHe0

Not reportedTaxon

Verbatim

e0

“the precision and reliability were poor of the regressions between the DBH and the biomass of branch and foliage”

✓ located verbatim in the source · abstract, characters 836–948

Title

Biomass estimation of dendrocalamopsis vario-striata plantation in southeast China

Benzhi Zhou; Xiaoming Wang; Yonghui Cao; et al. World Automation Congress 2012

Other claims from this paper (4)
Method / resourceobservedoriginal resultbasis n/a

Claim · model-written summary

The study provides equations to convert foliage biomass to surface area for most encountered species.

Taxon
forest communitiest0
Outcome
converting from foliage biomass to surface areae0
Qualifier
most species encounterede0
Comparator
foliage biomasse0

Verbatim

e0

“Equations for converting from foliage biomass to surface area are included for most species encountered”

✓ located verbatim in the source · abstract, characters 346–449
t0

“forest communities”

✓ located verbatim in the source · title, characters 49–67

Title

Leaf area differences associated with old-growth forest communities in the western Oregon Cascades

Henry L. Gholz; Franklin K. Fitz; R. H. Waring Canadian Journal of Forest Research 1976. doi:10.1139/x76-007

Other claims from this paper (3)
Method / resourceobservedoriginal resultnegativemeasured

Claim · model-written summary

None of the models accurately predicted foliage or branch biomass.

Taxon
Bambusa teres and Bambusa tuldaBambusa tuldaBambusa terest0
Outcome
predicted foliage biomass and branch biomasse0
Value
adj. R 2 < 0.55e0

Verbatim

t0

“Bambusa teres and Bambusa tulda”

✓ located verbatim in the source · title, characters 66–97
e0

“none of the models accurately predicted foliage biomass and branch biomass (adj. R 2 < 0.55)”

✓ located verbatim in the source · abstract, characters 1314–1406

Title

Empirical allometric models for estimating aboveground biomass of Bambusa teres and Bambusa tulda in non-forest areas of Nepal

Aastha Sharma; Santosh Ayer; Keshav Ayer; et al. Agroforestry Systems 2025. doi:10.1007/s10457-025-01221-9

Other claims from this paper (3)
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Diameter at breast height and tree age were most appropriate for estimating foliage biomass of predominant and dominant Scots pine trees.

Taxon
Scots pinePinus sylvestrist0
Outcome
foliage biomasse0
Comparator
diameter at breast height and tree agee0

Verbatim

e0

“to estimate foliage biomass of predominant and dominant trees, it seems most appropriate to apply diameter at breast height and tree age”

✓ located verbatim in the source · abstract, characters 824–960
t0

“Scots Pine (Pinus sylvestris L.)”

✓ located verbatim in the source · title, characters 40–72

Title

Allometric Models of Foliage Biomass in Scots Pine (Pinus sylvestris L.)

Tomasz Jelonek; W. Pazdrowski; Ryszard Walkowiak; et al. Polish Journal of Environmental Studies 2011

Other claims from this paper (3)
Method / resourceobservedoriginal resultnegativemeasured

Claim · model-written summary

Foliage biomass equations had lower determination coefficients than stem or total biomass equations.

Taxon
woody speciese0
Outcome
coefficients of determinatione0
Direction
lowere0
Comparator
stem or total biomasse0

Verbatim

e0

“Equations for foliage biomass generally had lower coefficients of determination than the equations for either stem or total biomass of the woody species.”

✓ located verbatim in the source · abstract, characters 1195–1348

Title

Biomass estimation techniques for enclosures in a semi-arid area: a case study in Northern Ethiopia

Stijn Cleemput; Bart Muys; Christoph Kleinn; et al. http://www.tropentag.de/2004/abstracts/full/3.pdf 2004

Other claims from this paper (4)
Method / resourceobservedoriginal resultnegativemeasured

Claim · model-written summary

Foliage biomass regressions compared unfavorably with regressions in other studies.

Taxon
western larchLarix occidentalise1
Outcome
Regression equations for estimating foliage biomasse0
Direction
did not compare favorablye0
Comparator
foliage biomass allometric relations from other studiese0

Verbatim

e0

“Regression equations for estimating foliage biomass reported in this study did not compare favorably with foliage biomass allometric relations from other studies.”

✓ located verbatim in the source · abstract, characters 352–514
e1

“western larch (Larixoccidentalis Nutt.)”

✓ located verbatim in the source · abstract, characters 154–193

Title

Allometric relations of deciduous (Larixoccidentalis) and evergreen conifers (Pinuscontorta and Pseudotsugamenziesii) of the Cascade Mountains in central Washington

Stith T. Gower; Charles C. Grier; Daniel J. Vogt; et al. Canadian Journal of Forest Research 1987. doi:10.1139/x87-103

Other claims from this paper (6)
Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

Foliage biomass equations explained 35% to 94% of observed variance.

Taxon
small-size tree speciest0
Outcome
foliagee0
Value
35% to 94%e0

Verbatim

e0

“stem, 64% to 99%; branch, 24% to 95%; foliage, 35% to 94% for equations by structural tree components”

✓ located verbatim in the source · abstract, characters 1242–1343
t0

“SMALL-SIZE TREE SPECIES”

✓ located verbatim in the source · title, characters 39–62

Title

SPECIES-SPECIFIC BIOMASS EQUATIONS FOR SMALL-SIZE TREE SPECIES IN SECONDARY TROPICAL FORESTS

Ramiro Puc-Kauil; Gregorio Ángeles-Pérez; José René Valdez-Lazalde; et al. Tropical and Subtropical Agroecosystems 2019. doi:10.56369/tsaes.2961

Other claims from this paper (8)
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Predicted biomass density and foliage nitrogen relationships reasonably agreed with Finnish conifer stand data.

Taxon
coniferous standse0
Outcome
predicted relationships between biomass density and foliage [N]e0
Comparator
data from coniferous stands across Finlande0
Setting
Finlande0

Verbatim

e0

“The predicted relationships between biomass density and foliage [N] are in reasonable agreement with data from coniferous stands across Finland.”

✓ located verbatim in the source · abstract, characters 1164–1308

Title

Optimal co‐allocation of carbon and nitrogen in a forest stand at steady state

Annikki Mäkelä; Harry T. Valentine; Heljä‐Sisko Helmisaari New Phytologist 2008. doi:10.1111/j.1469-8137.2008.02558.x

Other claims from this paper (8)
Method / resourceobservedoriginal resultpositivesignificant (as stated)measured

Claim · model-written summary

Component allometric equations were significant except for high-density branch biomass and low-density foliage and cone biomass.

Taxon
Cryptomeria japonicaCryptomeria japonicat0
Outcome
Allometric regression equations of each tree componente0
Value
80-96%e0
Qualifier
except for branch biomass in high density or foliage and cone biomass in low densitye0

Verbatim

e0

“Allometric regression equations of each tree component were significant (P<0.05) with diameter at breast height (DBH) accounting for 80-96% of the variation except for branch biomass in high density or foliage and cone biomass in low density.”

✓ located verbatim in the source · abstract, characters 1063–1305
t0

“Cryptomeria japonica”

✓ located verbatim in the source · title, characters 71–91

Title

Allometric Equations and Biomass Expansion Factors by Stand Density in Cryptomeria japonica Plantations

Jung-Hwa Gwon; Huiyeong Seo; Kwang-Soo Lee; et al. Journal of Korean Forestry Society 2014. doi:10.14578/jkfs.2014.103.2.175

Other claims from this paper (7)

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