A5006344842- Climate change impacts on agriculture
- Climate variability and models
- Plant Water Relations and Carbon Dynamics
- Plant responses to elevated CO2
- Remote Sensing in Agriculture
- Soil Carbon and Nitrogen Dynamics
- Meteorological Phenomena and Simulations
- Crop Yield and Soil Fertility
- Greenhouse Technology and Climate Control
- Cryospheric studies and observations
- Leaf Properties and Growth Measurement
- Land Use and Ecosystem Services
- Remote Sensing and LiDAR Applications
- Soybean genetics and cultivation
- Wheat and Barley Genetics and Pathology
- Peatlands and Wetlands Ecology
- Climate change and permafrost
- Hydrology and Drought Analysis
- Oceanographic and Atmospheric Processes
- Soil Geostatistics and Mapping
- Agriculture Sustainability and Environmental Impact
- Soil and Unsaturated Flow
- Atmospheric and Environmental Gas Dynamics
- Hydrology and Watershed Management Studies
- Soil and Water Nutrient Dynamics
Agriculture and Agri-Food Canada
2016-2025
University of Ottawa
2024
Wilfrid Laurier University
2024
Ottawa Research and Development Centre
2014-2023
Government of Canada
2023
International Development Research Centre
2021-2023
Agriculture and Food
2022
Saskatoon Research and Development Centre
2021
University College London
2002-2003
University of Lisbon
1998-2002
Several recommendations have been proposed for detecting land use and cover change (LULCC) on the environment from, observed climatic records to modeling improve its understanding impacts climate. Researchers need detect LULCCs accurately at appropriate scales within a specified time period better understand their climate provide improved estimates of future The US Climate Reference Network (USCRN) can be helpful in monitoring LULCC near-surface atmospheric conditions, including temperature....
[1] Trends in soil temperature are important, but rarely reported, indicators of climate change. On the basis data from 30 stations across Canada during 1958–2008, trends temperatures at 5, 10, 20, 50, 100, and 150 cm depths were analyzed, together with atmospheric variables, such as air temperature, precipitation, depth snow on ground, observed same locations. There was a significant positive trend spring summer means, not for winter annual means. A time detected about two-thirds all below...
Early warning information on crop yield and production are very crucial for both farmers decision-makers. In this study, we assess the skill reliability of Integrated Canadian Crop Yield Forecaster (ICCYF), a regional forecasting tool, at different temporal (i.e. 1–3 months before harvest) spatial census agricultural region – CAR, provincial national) scales across Canada. A distinct feature ICCYF is that it generates in-season forecasts well end growing season provides probability...
Abstract Widespread global changes, including rising atmospheric CO 2 concentrations, climate warming and loss of biodiversity, are predicted for this century; all these will affect terrestrial ecosystem processes like plant litter decomposition. Conversely, increased decomposition can have potential carbon‐cycle feedbacks on levels, biodiversity. But predicting is difficult because many interacting factors related to the chemical, physical biological properties soil, as well agricultural...
Agricultural practices such as including perennial alfalfa ( L.), winter wheat or red clover L.) in corn rotations can provide higher crop yields and increase soil organic C (SOC) over time. How well process-based biogeochemical models DeNitrification-DeComposition (DNDC) capture the beneficial effects of diversified cropping systems is unclear. To calibrate validate DNDC for simulation observed trends yield SOC, we used long-term trials: continuous (CC) corn-oats L.)-alfalfa-alfalfa (COAA)...
Accurate measurement of leaf chlorophyll concentration (LChl) in the field using a portable meter (PCM) is crucial to support methodology development for mapping spatiotemporal variability crop nitrogen status remote sensing. Several PCMs have been developed measure LChl instantaneously and non-destructively field, however, their readings are relative quantities that need be converted into actual values conversion functions. The aim this study was investigate relationship between PCM...
An accurate estimation of crop yield under climate change scenarios is essential to quantify our ability feed a growing population and develop agronomic adaptations meet future food demand. A coordinated evaluation simulations from process-based eco-physiological models for impact assessment still missing soybean, the most widely grown grain legume main source protein in chain. In this first soybean multi-model study, we used ten prominent capable simulating varying temperature atmospheric...
Four major circulation patterns, associated with daily precipitation in Portugal, are classified from sea level pressure fields over the northeastern Atlantic and western Europe, based on K-means clustering algorithm coupled principal component analysis. A rainy pattern is clearly identified a probability of rain 74.6%, as well two distinct dry one prevailing summer other occurring frequently winter; blocking-like 36.8% has also been identified. These patterns quasi-stationary, normally...
Abstract Science-based assessments of climate change impacts on cropping systems under different levels global warming are essential for informing stakeholders which targets and potential adaptation strategies may be effective. A comprehensive evaluation Canada’s crop production is currently lacking. The DayCent, DNDC DSSAT models were employed to estimate changes in yield three prominent crops including spring wheat, canola maize current agricultural regions Canada. Four scenarios with mean...
The impact of climate change on agricultural systems is a major concern as it can have significant effect the world food supply. objective this study was to evaluate impacts crop production and nitrate leaching in two distinct climatic zones Canada. Spring wheat (Triticum aestivum L.) selected for semiarid regions Western Canada (Swift Current, SK) maize (Zea mays chosen more humid central (Woodslee, ON). Climate scenarios were based upon simulations from Canadian Regional Model (CanRCM4)...
Synthetic aperture radar (SAR) is more sensitive to the dielectric properties and structure of targets less affected by weather conditions than optical sensors, making it capable detecting changes induced management practices in agricultural fields. In this study, capability C-band SAR data for crop seeding harvest events was explored. The study conducted 2019 growing season Temiskaming Shores, an area Northern Ontario, Canada. Time-series acquired Sentinel-1 constellation with...
Maize (Zea mays L.) production in Northeast China is vulnerable to climate change. Thus, exploring future adaptation measures for maize crucial developing sustainable agriculture ensure food security. The current study was undertaken evaluate the impacts of change on yield and partial factor productivity nitrogen (PFPN) explore potential strategies China. Decision Support System Agrotechnology Transfer (DSSAT) model calibrated validated using measurements from nine experiments. DSSAT...
Abstract A major effect of environment on crops is through crop phenology, and therefore, the capacity to predict phenology for new environments important. Mechanistic models are a tool such predictions, but calibration difficult there no consensus best approach. We propose an original, detailed approach models, which we refer as protocol. The protocol covers all steps in workflow, namely choice default parameter values, objective function, parameters estimate from data, calculation optimal...
CR Climate Research Contact the journal Facebook Twitter RSS Mailing List Subscribe to our mailing list via Mailchimp HomeLatest VolumeAbout JournalEditorsSpecials 26:175-191 (2004) - doi:10.3354/cr026175 Comparison of LARS-WG and AAFC-WG stochastic weather generators for diverse Canadian climates Budong Qian*, Sam Gameda, Henry Hayhoe, Reinder De Jong, Andy Bootsma Eastern Cereal Oilseed Centre, Agriculture Agri-Food Canada, 960 Carling Ave, Ottawa, Canada *Email: qianb@agr.gc.ca ABSTRACT:...
Abstract A set of agroclimatic indices representing Canadian climatic conditions for field crop production are analyzed long-term trends during 1895–2007. The categorized three types: cool season, warm and overwintering. Results indicate a significant lengthening the growing season due to significantly earlier start later end season. Significant positive also observed effective degree-days heat units at most locations across country. occurrence extremely low temperatures has become less...
Core Ideas Responses of canola to climate change in Canada were simulated using a crop model. An overall negative impact on yield was simulated. Yield reductions are due the increased heat stress and/or water stress. The effects earlier seeding could be very limited as an adaptation measure. Developing cultivars tolerant and stresses is urgent need. A projected future warmer implies significant impacts ( Brassica napus L.) production Canada. We aimed use modeling approach simulate evaluate...
Climate change studies have often focused on individual forage species although legume‐grass mixtures are predominant dairy farms in northern areas of North America. We assessed the effect (i) future climate conditions (temperature and precipitation) elevated atmospheric CO 2 concentration ([CO ]), separately together, yield alfalfa ( Medicago sativa L.) timothy Phleum pratense L.), grown alone or mixture, (ii) an adaptation strategy (timing number harvests) nutritive value alfalfa–timothy...