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Record W2158411663 · doi:10.1093/njaf/27.4.132

A Stocking Diagram for Midwestern Eastern Cottonwood-Silver Maple-American Sycamore Bottomland Forests

2010· article· en· W2158411663 on OpenAlexaboutno aff
David R. Larsen, Daniel C. Dey, Thomas McCullough Faust

Bibliographic record

VenueNorthern Journal of Applied Forestry · 2010
Typearticle
Languageen
FieldEnvironmental Science
TopicForest Management and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsStockingLiquidambar styracifluaForestryHardwoodBasal areaGeographyEnvironmental scienceEcologyBiology

Abstract

fetched live from OpenAlex

Abstract A stocking diagram for Midwestern bottomland eastern cottonwood (Populus deltoides Bartram ex Marsh.)-silver maple (Acer saccharinum L.)-American sycamore (Platanus occidentalis L.) forests was developed following the methods of S.F. Gingrich (1967 Measuring and evaluating stocking and stand density in upland hardwood forests in the Central States. For. Sci. 13:38‐53). The stocking diagram was derived from forest inventory data from two different studies of bottomland forests that covered a wide range of soil and hydrologic site characteristics found throughout the central Midwest, including Missouri, Iowa, Illinois, and southern Wisconsin. The minimum of full stocking (B-level) was determined from measurements on open-grown trees. The maximum of full stocking (A-level) in our study was almost one-third higher in stand basal area than A-level stocking, as determined by J.C.G. Goelz (1995. A stocking guide for southern bottomland hardwoods. South. J. Appl. For. 19:103‐104) for southern hardwood bottomlands dominated by cherrybark oak (Quercus pagoda Raf.), Nuttall oak (Quercus nuttallii Palmer), and sweetgum (Liquidambar styraciflua L.,), or by C.C. Myers and R.G. Buchman (1984. Manager's handbook for elm-ash-cottonwood in the north central states. GTR-98. US Forest Service, North Central For. Exp. Stn., St. Paul, MN. 11 p) for elm (Ulmus spp.), ash (Fraxinus spp.), and eastern cottonwood forests in the north central states. However, A-level stocking in this study was only slightly higher than guides developed for northern red oak (Quercus rubra L.) in Wisconsin (McGill, D.W., R. Rogers, A.J. Martin, and P.S. Johnson. 1999. Measuring stocking in northern red oak stands in Wisconsin. North. J. Appl. For. 16:144‐150). Differences in stocking among these forest types are due to variation in species composition, species silvical characteristics, and possibly the data sources used to construct the stocking diagrams. This stocking diagram can be used by forest managers to make decisions related to stand stocking for management of eastern cottonwood, silver maple, and American sycamore bottomland forests in the Midwest.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score0.076

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0230.003

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.007
GPT teacher head0.237
Teacher spread0.229 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations25
Published2010
Admission routes1
Has abstractyes

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