Wei Xiong

ORCID: 0000-0003-2007-8190
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About
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Research Areas
  • Climate change impacts on agriculture
  • Plant responses to elevated CO2
  • Quality Function Deployment in Product Design
  • Crop Yield and Soil Fertility
  • Rice Cultivation and Yield Improvement
  • Climate variability and models
  • Environmental and Agricultural Sciences
  • Soil Carbon and Nitrogen Dynamics
  • Quality and Supply Management
  • Remote Sensing and Land Use
  • Plant Water Relations and Carbon Dynamics
  • Agriculture Sustainability and Environmental Impact
  • Agricultural risk and resilience
  • Greenhouse Technology and Climate Control
  • Technology Assessment and Management
  • Wheat and Barley Genetics and Pathology
  • Software Engineering Techniques and Practices
  • Land Use and Ecosystem Services
  • Environmental Changes in China
  • Genetics and Plant Breeding
  • Sustainable Supply Chain Management
  • Toxic Organic Pollutants Impact
  • Product Development and Customization
  • Evaluation and Optimization Models
  • Microbial bioremediation and biosurfactants

Chinese Research Academy of Environmental Sciences
2025

South China Normal University
2010-2025

Zhejiang University
2010-2024

Centro Internacional de Mejoramiento de Maíz Y Trigo
2018-2024

National Engineering Research Center for Wheat
2022-2024

Shenzhen Center for Disease Control and Prevention
2024

Nanjing Audit University
2024

Harbin Engineering University
2023

Henan Agricultural University
2018-2022

Wuhan University of Technology
2008-2022

Abstract. Data on global agricultural production are usually available as statistics at administrative units, which does not give any diversity and spatial patterns; thus they less informative for subsequent spatially explicit environmental analyses. In the second part of two-paper series, we introduce SPAM2010 – latest datasets circa 2010 elaborate improvement SPAM (Spatial Production Allocation Model) dataset family since 2000. adds further methodological data enhancements to crop...

10.5194/essd-12-3545-2020 article EN cc-by Earth system science data 2020-12-21

Abstract Wheat ( Triticum aestivum ) is the most widely grown food crop in world threatened by future climate change. In this study, we simulated change impacts and adaptation strategies for wheat globally using new genetic traits (CGT), including increased heat tolerance, early vigor to increase water use, late flowering reverse an earlier anthesis warmer conditions, combined with additional nitrogen (N) fertilizer applications, as option maximize gains. These simulations were completed...

10.1088/1748-9326/abd970 article EN cc-by Environmental Research Letters 2021-01-08

China is the world's largest emitter of greenhouse gases (GHGs) and agricultural sector in responsible for 17–20% annual emissions 62% total freshwater use. Groundwater abstraction has increased rapidly from 10 km3 yr−1 1950s to more than 100 2000s, such that roughly 70% irrigated area northern now groundwater-fed. Pumping water irrigation one most energy consuming on-farm processes; however, date this source GHG elsewhere been relatively neglected. We derive first detailed estimate...

10.1088/1748-9326/7/1/014035 article EN cc-by Environmental Research Letters 2012-03-01

Justifiable usage of large-scale crop model simulations requires transparent, comprehensive and spatially extensive evaluations their performance associated accuracy. Simulated yields a Pan-European implementation the Environmental Policy Integrated Climate (EPIC) were satisfactorily evaluated with reported regional yield data from EUROSTAT for four major crops, including winter wheat, rainfed irrigated maize, spring barley rye. European-wide land use, elevation, soil daily meteorological...

10.1016/j.agsy.2013.05.008 article EN cc-by-nc-sa Agricultural Systems 2013-07-03

Climate change is now affecting global agriculture and food production worldwide. Nonetheless the direct link between climate security at national scale poorly understood. Here we simulated effect of on in China using CERES crop models IPCC SRES A2 B2 scenarios including CO2 fertilization effect. Models took into account population size, urbanization rate, cropland area, cropping intensity technology development. Our results predict that yield will increase +3–11 % under scenario +4 during...

10.1007/s13593-012-0102-0 article EN cc-by Agronomy for Sustainable Development 2012-07-10

Abstract The impact of soil nutrient depletion on crop production has been known for decades, but robust assessments the increasingly unbalanced nitrogen (N) and phosphorus (P) application rates are lacking. Here, we use response functions based 741 FAO maize trials EPIC modeling across Africa to examine yield deficits resulting from N : P applications under low, medium, high input scenarios, past (1975), current, future mass ratios respectively, 1 0.29, 0.15, 0.05. At low inputs (10 kg ha...

10.1111/gcb.12481 article EN Global Change Biology 2014-01-28

CR Climate Research Contact the journal Facebook Twitter RSS Mailing List Subscribe to our mailing list via Mailchimp HomeLatest VolumeAbout JournalEditorsSpecials 40:23-35 (2009) - DOI: https://doi.org/10.3354/cr00802 Potential impacts of climate change and variability on China's rice yield production Wei Xiong1,2,*, Declan Conway3, Erda Lin1,2, Ian Holman4 1Institute Environment Sustainable Development in Agriculture, Chinese Academy Agricultural Sciences, Beijing 100081, China 2The Key...

10.3354/cr00802 article EN Climate Research 2009-07-07
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