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Record W4304991336 · doi:10.1007/s13593-022-00832-1

Cereal species mixtures: an ancient practice with potential for climate resilience. A review

2022· review· en· W4304991336 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

VenueAgronomy for Sustainable Development · 2022
Typereview
Languageen
FieldEnvironmental Science
TopicEcology and Vegetation Dynamics Studies
Canadian institutionsSimon Fraser University
FundersDivision of Graduate EducationSocial Sciences and Humanities Research Council of CanadaCornell Atkinson Center for Sustainability, Cornell UniversityCornell UniversityMcKnight FoundationDavid R. Atkinson Center for a Sustainable Future , Cornell UniversityNational Science Foundation
KeywordsAgroforestryClimate changeMonocultureAgricultureAbiotic componentPsychological resilienceAgricultural diversificationDiversification (marketing strategy)GeographySowingFood securityAgronomyEnvironmental scienceEcologyBiologyBusiness

Abstract

fetched live from OpenAlex

Abstract Food security depends on the ability of staple crops to tolerate new abiotic and biotic pressures. Wheat, barley, and other small grains face substantial yield losses under all climate change scenarios. Intra-plot diversification is an important strategy for smallholder farmers to mitigate losses due to variable environmental conditions. While this commonly involves sowing polycultures of distinct species from different botanical families in the same field or multiple varieties of the same species (varietal mixtures), mixed plantings of multiple species from the same family are less well known. However, the sowing of maslins, or cereal species mixtures, was formerly widespread in Eurasia and Northern Africa and continues to be employed by smallholder farmers in the Caucasus, Greek Islands, and the Horn of Africa, where they may represent a risk management strategy for climate variability. Here, we review ethnohistorical, agronomic, and ecological literature on maslins with a focus on climate change adaptation, including two case studies from Ethiopian smallholder farmers. The major points are the following: (1) farmers in Ethiopia, Eritrea, and Georgia report that mixtures are a strategy for ensuring some yield under unpredictable precipitation and on marginal soils; (2) experimental trials support these observations, demonstrating increased yield advantage and stability under certain conditions, making maslins a potentially adaptive practice when crops are impacted by new biotic and abiotic conditions due to climate change; (3) maslins may balance trade-offs between interfamilial species plantings and varietal mixtures, and expand the total portfolio of traits available for formulating mixtures from varietal mixtures alone; and (4) they may buffer against the impacts of climate trends through passive shifts in species composition in response to environmental pressures. We demonstrate the potential benefits of maslins as an agroecological intensification and climate adaptation strategy and lay out the next steps and outstanding questions regarding the applicability of these cropping systems.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.951
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.017
GPT teacher head0.286
Teacher spread0.269 · 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