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Using insects for sustainable waste management of superabundant animals

2025· dataset· en· W7084615472 on OpenAlexaboutno aff

Bibliographic record

VenueFigshare · 2025
Typedataset
Languageen
FieldComputer Science
TopicContact Mechanics and Variational Inequalities
Canadian institutionsnot available
Fundersnot available
KeywordsFrassFecesGooseLarvaAbundance (ecology)Omnivore

Abstract

fetched live from OpenAlex

The management of fecal waste from superabundant species in urban green spaces is a central topic in environmental sustainability and public health. In North America, the Canada goose (<i>Branta canadensis</i>) is particularly problematic because of its large abundance in public spaces, resulting in large quantities of droppings that negatively affect the recreational, aesthetic and hygienic quality of the environment. Here, we evaluate the potential of black soldier fly (BSF; <i>Hermetia illucens</i>) larvae to bioconvert Canada goose feces into protein, while producing frass that can be used as plant fertilizer. We performed an experiment that evaluates BSF performance (Larval growth performance, adult body weight, and adult lifespan) under three diet treatments: a standard Gainesville diet (F0-control), a mixed diet containing 50% goose feces and 50% Gainesville (F50), and a diet consisting entirely of goose feces (F100). Additionally, based on the key role that microbial communities play during BSF development and bioconversion, the treatments were also replicated using autoclaved-sterile diets to assess the effect of absence of fecal microbes. We also conducted an experiment that assessed growth performance of duckweed (<i>Lemna minor</i>) across different fertilization treatments, including Hoagland’s media (control), and three concentrations (2.5, 5, and 10 g·L<sup>-1</sup>) of fresh goose feces and insect frass (derived from 100% goose feces). We found that the BSF larvae can survive and complete its larval development in both 50% and 100% fecal treatment diets, albeit the growth rate, adult body weight, and adult lifespan decreased with increasing concentration of feces. Sterilizing the feces had a positive effect on growth rates in F50 but a negative effect in F100. However, sterilization did not have a significant effect neither in the body weight nor in the lifespan of adults. Duckweed growth was the fastest in the frass treatment at concentrations of 10 g·L<sup>-1</sup>, suggesting that BSF larvae increased the nutritional value of goose feces for duckweed. Our study suggests that BSF can be used to bioconvert Canada goose feces into protein while generating a valuable plant fertilizer.

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 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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.099
Threshold uncertainty score0.998

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 science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.089
GPT teacher head0.325
Teacher spread0.236 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreDataset

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

Citations0
Published2025
Admission routes1
Has abstractyes

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