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Record W7084606621 · doi:10.25674/418

The threat-work: a network of potential threats to soil biodiversity

2024· article· en· W7084606621 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueSocio-Environmental Systems Modeling · 2024
Typearticle
Languageen
FieldEngineering
TopicWood Treatment and Properties
Canadian institutionsNorthern Alberta Institute of TechnologyWestern University
FundersNatural Sciences and Engineering Research Council of CanadaConselho Nacional de Desenvolvimento Científico e Tecnológico
KeywordsBiodiversitySoil biodiversitySoil functionsSoil organic matterSoil waterSoil biologyLand useResource (disambiguation)

Abstract

fetched live from OpenAlex

Soils are estimated to contain more than half of the biodiversity on our planet, encompassing a rich spectrum of genes, organisms and functions that play a crucial role in many ecological processes, such as nutrient cycling, organic matter decomposition, and the creation of a well-structured soil matrix. However, soils encounter many threats that significantly challenge their functionality and biodiversity. The FAO Report on the State of Knowledge of Soil Biodiversity identified 12 primary threats to soil and soil biodiversity, highlighting regional and unique ecozonal perspectives. Most threats to soil come from anthropogenic land use activities and management practices associated with intensive agriculture, livestock, forestry, and other resource extraction activities, as well as industrial activities, infrastructure and urbanization, which vary in strength across various regions and ecozones. However, these threats are highly interconnected and often culminate in losses to soil organic matter (SOM) and soil organic carbon (SOC) –– also considered a threat itself –– that drives changes in physical, chemical and biological attributes of the soil environment that lead to soil biodiversity loss. We conceptualize these interlinked threats as a threat network or ‘threat-work’, where the loss of SOM plays a pivotal role. Addressing this threat-work requires a mechanistic understanding of how soil biodiversity loss occurs across diverse landscapes and ecozones. SOM is essential for creating a favorable environment for soil biodiversity by enhancing nutrient availability, water retention, and soil structure. Losses in SOM, closely tied to the mechanisms of soil biodiversity loss, alter physical, chemical, and biological soil attributes, leading to biodiversity decline. Such knowledge can identify priority areas for restoration and inform best practices to conserve soil biodiversity. Protecting and enhancing SOM is central to these efforts. By disentangling the drivers of soil biodiversity loss and their interactions within this threat network, we can develop holistic strategies to mitigate soil biodiversity loss, safeguard soil health, and ensure the sustainability of soil ecosystems globally.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.046
Threshold uncertainty score0.563

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 head0.015
GPT teacher head0.182
Teacher spread0.167 · 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