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Record W2086212292 · doi:10.4296/cwrj2801087

Impacts of Recent Climate Trends on Agriculture in Southwestern Ontario

2003· article· en· W2086212292 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.

venuePublished in a venue whose home country is Canada.
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

VenueCanadian Water Resources Journal / Revue canadienne des ressources hydriques · 2003
Typearticle
Languageen
FieldEnvironmental Science
TopicPlant Water Relations and Carbon Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsEnvironmental scienceSurface runoffAgricultureIrrigationPrecipitationDrainagePopulationClimate changeAgronomyAgroforestryWater resource managementHydrology (agriculture)GeographyEcologyMeteorologyBiology

Abstract

fetched live from OpenAlex

Abstract In this paper, precipitation, temperature and crop water deficit during the past 80 years in southwestern Ontario are reviewed in terms of their impacts on the region's present and future field-crop production. Although the generally drier (average annual precipitation ≈ 750 mm) and warmer (average annual air temperature ≈ 9.5 °C) weather in the region during the last decade produced greater average annual crop water deficits (≈ 150 mm yr−1) than during the previous 30 to 40 years, the situation is not as severe as during the 1930s. It is likely, however, that the negative impacts of climate on the region's field-crop production (yields often ≤ 50% of potential) are greater now than ever before because of more intensive agriculture, fewer pastures/wetlands/woodlots, and greater water demands by increasing population and industry. To mitigate the current negative weather effects, the region's field-crop sector is adopting drip irrigation technologies (more efficient than the traditional overhead gun systems) which have been shown in recent trials to increase tomato yields by 50–80% over those not irrigated. In addition, combined drainage-surface runoff-irrigation technologies ('closed loop' water management systems) are being developed which can increase corn and soybean yields by up to 90% and 50%, respectively, while simultaneously decreasing agrochemical and sediment degradation of the off-field environment. If the current climate trend persists, it may be necessary to develop new drought- and heat-resistant field crops as well as updated guidelines for nutrient and pest management. Dans le présent article sont étudiés les précipitations, les températures et les déficits hydriques touchant les cultures au cours des 80 dernières années dans le sud-ouest de l'Ontario en ce qui a trait à leurs incidences sur les grandes cultures agricoles actuelles et futures de la région. Bien que le temps généralement plus sec (précipitations annuelles moyennes de ≈ 750 mm) et plus chaud (température de l'air annuelle moyenne d'environ ≈ 9,50 °C) dans la région au cours de la dernière décennie ait donné lieu pour les cultures à des déficits hydriques annuels moyens plus élevés (≈ 150 mm an−1) par rapport aux 30 à 40 années précédentes, la situation n'est pas aussi grave que pendant les années 1930. Il est cependant probable que les incidences négatives du climat sur les cultures de grande production de la région (la production étant souvent < ou égale à 50% du rendement possible) soient plus grandes aujourd'hui que jamais auparavant en raison d'une agriculture plus intensive, d'un nombre moins grand de pâturages, de marécages et de boisés et en raison de besoins en eau plus grands du fait de la croissance de la population et de l'industrie. Pour atténuer les effets météorologiques négatifs actuels, le secteur des grandes cultures de la région est en train d'adopter des techniques d'irrigation au goutte-à-goutte (plus efficaces que les systèmes traditionnels comme les pistolets) dont les essais récents ont révélé qu'ils augmentent la production des tomates de 50 à 80% par rapport aux cultures non irriguées. De plus, des technologies combinées de drainage superficiel et d'écoulement et irrigation (systèmes de gestion de l'eau en boucle fermée) sont en chantier. Elles permettront une hausse de la production du maïs et du soya allant jusqu'à 90% et 50%, respectivement, tout en diminuant du même coup la dégradation agrochimique et des sédiments de l'environnement hors terrain. Si les tendances climatiques actuelles persistent, il pourrait s'avérer nécessaire de mettre au point de nouvelles cultures de grande production qui résistent aux sécheresses et à la chaleur, et d'élaborer aussi de nouvelles lignes directrices pour la gestion des substances nutritives et pour la lutte antiparasitaire.

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), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.911
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
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.010
GPT teacher head0.184
Teacher spread0.174 · 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