Works matching DE "AGRICULTURAL climatology"
Results: 2205
Translating Science to Benefit Diverse Publics.
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- Science, Technology & Human Values, 2015, v. 40, n. 6, p. 939, doi. 10.1177/0162243915577636
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Climatologists’ Communication of Climate Science to the Agricultural Sector.
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- Science Communication, 2015, v. 37, n. 3, p. 371, doi. 10.1177/1075547015581927
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Drought-induced mortality of a foundation species ( Juniperus monosperma) promotes positive afterlife effects in understory vegetation.
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- Plant Ecology, 2011, v. 212, n. 5, p. 733, doi. 10.1007/s11258-010-9859-x
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Successional trends and apparent Acer saccharum regeneration failure in an oak-hickory forest in central Missouri, USA.
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- Plant Ecology, 2009, v. 204, n. 2, p. 305, doi. 10.1007/s11258-009-9593-4
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Arable weed vegetation of the northeastern part of the Czech Republic: effects of environmental factors on species composition.
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- Plant Ecology, 2009, v. 203, n. 1, p. 45, doi. 10.1007/s11258-008-9503-1
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Effects of winter cold stress on photosynthesis and photochemical efficiency of PSII of the MediterraneanCistus albidusL. andQuercus ilexL.
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- Plant Ecology, 2004, v. 175, n. 2, p. 179, doi. 10.1007/s11258-005-4876-x
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Heterogeneity of xerophytic vegetation of limestone outcrops in a tropical deciduous forest region in southern México.
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- Plant Ecology, 2004, v. 175, n. 2, p. 147, doi. 10.1007/s11258-005-4841-8
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Development of stress tolerance in micropropagated plantlets of Dioscorea pentaphylla L. using seismic stress.
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- Plant Cell, Tissue & Organ Culture, 2023, v. 154, n. 2, p. 507, doi. 10.1007/s11240-023-02549-9
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Validating a novel allele of viviparous-1 ( Vp-1Bf) associated with high seed dormancy of Chinese wheat landrace, Wanxianbaimaizi.
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- Molecular Breeding, 2010, v. 25, n. 3, p. 517, doi. 10.1007/s11032-009-9350-3
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Changes in net ecosystem productivity of boreal black spruce stands in response to changes in temperature at diurnal and seasonal time scales.
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- Tree Physiology, 2009, v. 29, n. 1, p. 1, doi. 10.1093/treephys/tpn004
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Daily sap flow and maximum daily trunk shrinkage measurements for diagnosing water stress in early maturing peach trees during the post-harvest period.
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- Tree Physiology, 2007, v. 27, n. 1, p. 81, doi. 10.1093/treephys/27.1.81
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High autumn temperature delays spring bud burst in boreal trees, counterbalancing the effect of climatic warming.
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- Tree Physiology, 2003, v. 23, n. 13, p. 931, doi. 10.1093/treephys/23.13.931
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Correction to: Weather patterns and all-cause mortality in England, UK.
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- 2020
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- Correction Notice
Weather patterns and all-cause mortality in England, UK.
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- International Journal of Biometeorology, 2020, v. 64, n. 1, p. 123, doi. 10.1007/s00484-019-01803-0
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Changes in agro-climatic indices related to temperature in Central Chile.
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- International Journal of Biometeorology, 2019, v. 63, n. 4, p. 499, doi. 10.1007/s00484-019-01681-6
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Analysis of meteorological dryness/wetness features for spring wheat production in the Ili River basin, China.
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- International Journal of Biometeorology, 2018, v. 62, n. 12, p. 2197, doi. 10.1007/s00484-018-1623-2
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Interpolating hourly temperatures for computing agroclimatic metrics.
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- International Journal of Biometeorology, 2018, v. 62, n. 10, p. 1799, doi. 10.1007/s00484-018-1582-7
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Multiscale analyses on a massive immigration process of Sogatella furcifera (Horváth) in south-central China: influences of synoptic-scale meteorological conditions and topography.
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- International Journal of Biometeorology, 2018, v. 62, n. 8, p. 1389, doi. 10.1007/s00484-018-1538-y
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Boron application improves yield of rice cultivars under high temperature stress during vegetative and reproductive stages.
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- International Journal of Biometeorology, 2018, v. 62, n. 8, p. 1375, doi. 10.1007/s00484-018-1537-z
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Climatically driven yield variability of major crops in Khakassia (South Siberia).
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- International Journal of Biometeorology, 2018, v. 62, n. 6, p. 939, doi. 10.1007/s00484-017-1496-9
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Comparing mechanistic and empirical approaches to modeling the thermal niche of almond.
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- International Journal of Biometeorology, 2017, v. 61, n. 9, p. 1593, doi. 10.1007/s00484-017-1338-9
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ENSO and PDO-related climate variability impacts on Midwestern United States crop yields.
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- International Journal of Biometeorology, 2017, v. 61, n. 5, p. 857, doi. 10.1007/s00484-016-1263-3
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Phenological research of climate changes in the north part of Lithuania by the phenological garden of Šiauliai University.
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- International Journal of Biometeorology, 2017, v. 61, n. 2, p. 293, doi. 10.1007/s00484-016-1211-2
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CropWatch agroclimatic indicators (CWAIs) for weather impact assessment on global agriculture.
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- International Journal of Biometeorology, 2017, v. 61, n. 2, p. 199, doi. 10.1007/s00484-016-1199-7
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Contributions of cultivar shift, management practice and climate change to maize yield in North China Plain in 1981-2009.
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- International Journal of Biometeorology, 2016, v. 60, n. 7, p. 1111, doi. 10.1007/s00484-015-1104-9
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Rubber yield prediction by meteorological conditions using mixed models and multi-model inference techniques.
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- International Journal of Biometeorology, 2015, v. 59, n. 12, p. 1747, doi. 10.1007/s00484-015-0983-0
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Seasonal differences in climate in the Chianti region of Tuscany and the relationship to vintage wine quality.
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- International Journal of Biometeorology, 2015, v. 59, n. 12, p. 1799, doi. 10.1007/s00484-015-0988-8
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Spatial and temporal variability of cv. Tempranillo phenology and grape quality within the Ribera del Duero DO (Spain) and relationships with climate.
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- International Journal of Biometeorology, 2015, v. 59, n. 12, p. 1849, doi. 10.1007/s00484-015-0992-z
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Monsoon variability, crop water requirement, and crop planning for kharif rice in Sagar Island, India.
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- International Journal of Biometeorology, 2015, v. 59, n. 12, p. 1891, doi. 10.1007/s00484-015-0995-9
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Modeling sugarcane ripening as a function of accumulated rainfall in Southern Brazil.
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- International Journal of Biometeorology, 2015, v. 59, n. 12, p. 1913, doi. 10.1007/s00484-015-0998-6
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Berry composition and climate: responses and empirical models.
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- International Journal of Biometeorology, 2014, v. 58, n. 6, p. 1207, doi. 10.1007/s00484-013-0715-2
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Effects of precipitation and temperature on crop production variability in northeast Iran.
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- International Journal of Biometeorology, 2011, v. 55, n. 3, p. 387, doi. 10.1007/s00484-010-0348-7
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Climate change impacts and adaptations for wheat employing multiple climate and crop modelsin Pakistan.
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- Climatic Change, 2020, v. 163, n. 1, p. 253, doi. 10.1007/s10584-020-02855-7
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Managing climate risk through crop diversification in rural Kenya.
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- Climatic Change, 2020, v. 162, n. 3, p. 1107, doi. 10.1007/s10584-020-02727-0
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Global bioclimatic suitability for the fall armyworm, Spodoptera frugiperda (Lepidoptera: Noctuidae), and potential co-occurrence with major host crops under climate change scenarios.
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- Climatic Change, 2020, v. 161, n. 4, p. 555, doi. 10.1007/s10584-020-02722-5
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Long-run trend in agricultural yield and climatic factors in Europe.
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- Climatic Change, 2020, v. 159, n. 3, p. 385, doi. 10.1007/s10584-019-02622-3
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Effects of climate change on sugarcane production in the state of Paraíba (Brazil): a panel data approach (1990–2015).
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- Climatic Change, 2019, v. 154, n. 1/2, p. 195, doi. 10.1007/s10584-019-02424-7
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Effects of climate change and adaptation options on winter wheat yield under rainfed Mediterranean conditions in southern Portugal.
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- Climatic Change, 2019, v. 154, n. 1/2, p. 159, doi. 10.1007/s10584-019-02419-4
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Making sense of maladaptation: Nordic agriculture stakeholders' perspectives.
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- Climatic Change, 2019, v. 153, n. 1/2, p. 107, doi. 10.1007/s10584-019-02391-z
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Assessment of projected agro-climatic indices over Awun river basin, Nigeria for the late twenty-first century.
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- Climatic Change, 2018, v. 151, n. 3/4, p. 445, doi. 10.1007/s10584-018-2295-y
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The impact of future climate change and potential adaptation methods on Maize yields in West Africa.
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- Climatic Change, 2018, v. 151, n. 2, p. 205, doi. 10.1007/s10584-018-2290-3
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Climate zones determine where substantial increases of maize yields can be attained in Northeast China.
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- Climatic Change, 2018, v. 149, n. 3/4, p. 473, doi. 10.1007/s10584-018-2243-x
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Attributing high-impact extreme events across timescales—a case study of four different types of events.
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- Climatic Change, 2018, v. 149, n. 3/4, p. 399, doi. 10.1007/s10584-018-2258-3
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Evaluating the performance of RegCM4.0 climate model for climate change impact assessment on wheat and rice crop in diverse agro-climatic zones of Uttar Pradesh, India.
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- Climatic Change, 2018, v. 149, n. 3/4, p. 503, doi. 10.1007/s10584-018-2255-6
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Crop modelling: towards locally relevant and climate-informed adaptation.
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- Climatic Change, 2018, v. 147, n. 3/4, p. 475, doi. 10.1007/s10584-018-2160-z
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Unique challenges and opportunities for northeastern US crop production in a changing climate.
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- Climatic Change, 2018, v. 146, n. 1/2, p. 231, doi. 10.1007/s10584-017-2109-7
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Vulnerability of specialty crops to short-term climatic variability and adaptation strategies in the Midwestern USA.
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- Climatic Change, 2018, v. 146, n. 1/2, p. 145, doi. 10.1007/s10584-017-2066-1
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Vulnerability of grain crops and croplands in the Midwest to climatic variability and adaptation strategies.
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- Climatic Change, 2018, v. 146, n. 1/2, p. 263, doi. 10.1007/s10584-017-1997-x
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Vulnerability of crops and croplands in the US Northern Plains to predicted climate change.
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- Climatic Change, 2018, v. 146, n. 1/2, p. 219, doi. 10.1007/s10584-017-1989-x
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Vulnerability of Southern Plains agriculture to climate change.
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- Climatic Change, 2018, v. 146, n. 1/2, p. 201, doi. 10.1007/s10584-017-1965-5
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