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Record W7084585543 · doi:10.25674/410

Soil biodiversity knowledge and use worldwide: Results from a global survey

2024· article· en· W7084585543 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

VenueLA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicWaste Management and Recycling
Canadian institutionsNorthern Alberta Institute of TechnologyWestern University
FundersEmbrapa FlorestasNatural Sciences and Engineering Research Council of CanadaConselho Nacional de Desenvolvimento Científico e Tecnológico
KeywordsBiodiversityEcosystem servicesSoil biologySoil biodiversityEcosystemSoil ecologyFaunaSoil health

Abstract

fetched live from OpenAlex

Soil biodiversity is a major component of global biodiversity, but remains poorly characterized in many locations, and is under threat mainly due to land use change and intensification. Detailed assessments of soil biodiversity and a better knowledge of the ecology and distribution of soil organisms worldwide are needed to address threats to soil function, and potential impacts on ecosystem service delivery. A worldwide expert survey was conducted in March 2022 to identify who is doing what, where and how, as well as the main gaps, pitfalls and opportunities across existing national initiatives and research. The questions addressed microbes, fauna and their activity in soils, community and functional assessments, inventories, mapping and monitoring activities, ecosystem services, applications, threats to soil biodiversity, education and communication activities, and public policies related to soil biodiversity. Over 2,000 responses were received, from >1,350 institutions and 135 countries, mainly from experts in research and academia. Respondents worked mostly with soil microbes, focusing primarily on bacteria (85%) and fungi (79%) and less on Archaea, Algae, soil viruses and lichens. Most applied genomic or molecular techniques, as well as activity and process measurements. Soil fauna was less studied overall, with few respondents active in taxonomy (19-34% depending on the taxon). Fifty countries reported inventories, and 48 had monitoring programs, though most (>65%) covered only microbes and fewer (<50%) addressed fauna taxa. A wide variety of methods were used to assess soil fauna and they were widely used as bioindicators. The survey highlighted the lack of studies on the valuation of multiple ecosystem services provided by soil biota, and the poor knowledge on public policies regarding soils and its biodiversity. We identified a need for harmonized global-scale sampling and measuring protocols that are integrated into conventional soil surveys and soil health assessments, as well as approaches that consider multiple taxonomic groups, to provide key information to support policy agendas aimed at soil conservation and sustainability and to propose a design for a Global Soil Biodiversity Observatory.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.613
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
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 head0.028
GPT teacher head0.243
Teacher spread0.214 · 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