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Record W2527829416 · doi:10.1177/194008291400700412

Plant Biomass Density as an Indicator of Food Supply for Elephants ( <i>Loxodonta Africana</i> ) in Waza National Park, Cameroon

2014· article· en· W2527829416 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueTropical Conservation Science · 2014
Typearticle
Languageen
FieldEnvironmental Science
TopicRangeland Management and Livestock Ecology
Canadian institutionsConcordia University
FundersU.S. Fish and Wildlife Service
KeywordsShrublandBiomass (ecology)National parkDry seasonWoodlandForageForestryAcaciaVegetation (pathology)Environmental scienceGeographyPopulationHerbaceous plantAgroforestryFloodplainGrowing seasonAgronomyEcologyBiologyEcosystem

Abstract

fetched live from OpenAlex

We studied the aboveground biomass density of plants, potentially available as a food supply for elephants, Loxodonta africana, in the Waza National Park, Cameroon during the dry season, from November 2009 through March 2010. The aboveground biomass of trees in the Woodland and Acacia seyal shrubland zones, were 16.87 tonsDM/ha and 10.99 tonsDM/ha respectively (mean 13.93 ± 4.16 tonsDM/ha). Aboveground biomass density in the herbaceous layer was 2.62, 4.21 and 6.9 tonsDM/ha, in the Woodland, Acacia seyal shrubland and Floodplain zones, respectively (mean 4.58 ± 2.16 tonsDM/ha), the difference between the vegetation zones being significant. The overall aboveground plant biomass density of the park averaged 13.86 ± 6.4 tonsDM/ha, however the harvestable food supply for elephants was a small portion of that estimate. The estimated plant biomass represented an average for the dry season, which is more useful for long-term planning purposes than for annual predictions of the level of forage production in the dry season. To minimize elephant encroachment into cultivated fields, it is necessary to estimate the park's carrying capacity and regulate the population size if necessary. This however will rely on the long-term prediction of forage production in the Waza National Park through continuous measurements of plant biomass density during the dry season.

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)0.001
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 score0.013
Threshold uncertainty score0.313

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.021
GPT teacher head0.253
Teacher spread0.232 · 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