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Record W2516864329 · doi:10.3354/cr01407

Climate change in the North China Plain: smallholder farmer perceptions and adaptations in Quzhou County, Hebei Province

2016· article· en· W2516864329 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueClimate Research · 2016
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicClimate change impacts on agriculture
Canadian institutionsnot available
Fundersnot available
KeywordsClimate changeGeographyAgricultureIrrigationChinaAgricultural economicsEcologyArchaeology

Abstract

fetched live from OpenAlex

CR Climate Research Contact the journal Facebook Twitter RSS Mailing List Subscribe to our mailing list via Mailchimp HomeLatest VolumeAbout the JournalEditorsSpecials CR 69:261-273 (2016) - DOI: https://doi.org/10.3354/cr01407 Climate change in the North China Plain: smallholder farmer perceptions and adaptations in Quzhou County, Hebei Province David Chen1, Joann K. Whalen2,* 1Faculty of Agricultural and Environmental Sciences and 2Department of Natural Resource Sciences, McGill University, Macdonald Campus, 21111 Lakeshore Road, Ste-Anne-de-Bellevue QC H9X 3V9, Canada *Corresponding author: joann.whalen@mcgill.ca ABSTRACT: Climate change is expected to negatively affect production of winter wheat and maize in the North China Plain (NCP). This study examines the perceptions and adaptations to climate change of farmers in Quzhou County in the NCP. Structured interviews were held with 37 smallholder farmers to determine their perceptions of and adaptations to climate change in the past 30 yr. Historical meteorological data (1980 to 2010) showed a significant increase in mean annual temperature of 1.7°C over 30 yr and no significant change in mean annual rainfall, but farmers perceive increasing temperature and decreasing rainfall during this period. We hypothesize that this leads farmers to irrigate more, due to their perception that the changing temperature and precipitation regime is increasing crop water stress. Further increase in annual temperature predicted for the NCP will intensify irrigation and deplete the groundwater reserves used for irrigation in this area. Farmers in the NCP require decision-making tools to develop sustainable irrigation practices for long-term adaptation to climate change. KEY WORDS: Agriculture · Climate change · Meteorological data · Participatory methods Full text in pdf format Supplementary material PreviousCite this article as: Chen D, Whalen JK (2016) Climate change in the North China Plain: smallholder farmer perceptions and adaptations in Quzhou County, Hebei Province. Clim Res 69:261-273. https://doi.org/10.3354/cr01407 Export citation RSS - Facebook - Tweet - linkedIn Cited by Published in CR Vol. 69, No. 3. Online publication date: August 29, 2016 Print ISSN: 0936-577X; Online ISSN: 1616-1572 Copyright © 2016 Inter-Research.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.153
Threshold uncertainty score0.894

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
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 head0.152
GPT teacher head0.352
Teacher spread0.200 · 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