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Record W24570203

Production Ecology and Stand Dynamics of Young Acadian Forest Stands in Response to Silvicultural Intensity and Compositional Objectives

2013· article· en· W24570203 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueDigitalCommons (California Polytechnic State University) · 2013
Typearticle
Languageen
FieldEnvironmental Science
TopicForest ecology and management
Canadian institutionsnot available
FundersNortheastern States Research Cooperative
KeywordsEcologySilvicultureForest dynamicsProduction (economics)ForestryGeographyEnvironmental scienceBiologyEconomics
DOInot available

Abstract

fetched live from OpenAlex

Early successional stands are common across the Acadian forests of eastern Canada and the Northeastern US. However, productivity and dynamics of these stands, as well as the underlying mechanisms influencing these processes, under different management scenarios are poorly understood. To address this need, I used a factorial experiment that controlled silvicultural intensity and species composition to quantify the effects of varying treatments on early stand dynamics, and the physiological and morphological factors influencing tree performance . Specifically, I studied: 1) species differences in aboveground allometrics, 2) light capture, light-use efficiency (LUE; growth/light capture), and foliar carbon isotope composition (δ13C) of white spruce across a range of growing conditions, and 3) stand growth and yield in response to combinations of silvicultural intensity and compositional objectives. In Chapter 1, a new set of aboveground component biomass equations were developed for sapling-sized trees. In addition, I found that the Forest Inventory and Analysis (FIA) sapling biomass equations underestimated biomass between 10% and 36%, which corresponded to the loss of forest biomass in Maine when FIA switched to new equations. In Chapter 2, I found that aboveground productivity of white spruce seedlings was negatively correlated to competition and positively correlated to light capture. LUE was not correlated with inter-tree competition, suggesting the stands had not reached a density-dependent sorting stage, where use-efficiency tends to increase for dominant trees. δ13C was negatively correlated with competition suggesting that assimilation declined as trees became more light-limited. In Chapter 3, I found that a Populus nigra × P. maximowiczii clone outperformed three P. deltoides × P. nigra clones at the rocky, somewhat poorly drained site, while white spruce yield was negatively correlated with hybrid poplar yield in mixed plantations. Compositional objectives strongly influenced the productivity of naturally regenerated stands over a seven-year period after treatment in Chapter 4, indicating that stands can be directed into distinctly different trajectories depending on the silvicultural treatment. The approach used to study forest productivity in this experiment revealed that hierarchical responses (physiological, tree, and stand) to silviculture-induced growing conditions may influence the long-term trajectories of young Acadian forest stands in the region.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.611

Codex and Gemma teacher scores by category

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

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 head0.005
GPT teacher head0.186
Teacher spread0.181 · 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