Dengpan Xiao

ORCID: 0000-0001-6900-1237
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About
Contact & Profiles
Research Areas
  • Climate change impacts on agriculture
  • Climate variability and models
  • Plant responses to elevated CO2
  • Plant Water Relations and Carbon Dynamics
  • Crop Yield and Soil Fertility
  • Rice Cultivation and Yield Improvement
  • Remote Sensing in Agriculture
  • Irrigation Practices and Water Management
  • Greenhouse Technology and Climate Control
  • Cryospheric studies and observations
  • Meteorological Phenomena and Simulations
  • Hydrology and Watershed Management Studies
  • Soil Carbon and Nitrogen Dynamics
  • Potato Plant Research
  • Hydrology and Drought Analysis
  • Soil erosion and sediment transport
  • Environmental and Agricultural Sciences
  • Plant Pathogens and Resistance
  • Water resources management and optimization
  • Air Quality and Health Impacts
  • Atmospheric chemistry and aerosols
  • Air Quality Monitoring and Forecasting
  • Seedling growth and survival studies
  • Water-Energy-Food Nexus Studies
  • Human-Automation Interaction and Safety

Hebei Normal University
2022-2025

Hebei Academy of Sciences
2014-2024

Hebei Science and Technology Department
2022-2024

Shijiazhuang University
2022

Center for Agricultural Resources Research
2015-2020

Wagga Wagga Base Hospital
2020

Institute of Genetics and Developmental Biology
2015-2020

Chinese Academy of Sciences
2011-2017

Institute of Geographic Sciences and Natural Resources Research
2012-2017

Huazhong University of Science and Technology
2017

Based on the crop trial data during 1981-2009 at 57 agricultural experimental stations across North Eastern China Plain (NECP) and middle lower reaches of Yangtze River (MLRYR), we investigated how major climate variables had changed change affected growth yield in a setting which agronomic management practices were taken based actual weather. We found significant warming trend rice growing season, general decreasing solar radiation (SRD) MLRYR 1981-2009. Rice transplanting, heading,...

10.1111/gcb.12250 article EN Global Change Biology 2013-05-09

Abstract The contributions of climate and land use change (LUCC) to hydrological in Heihe River Basin (HRB), Northwest China were quantified using detailed climatic, data, along with the process-based SWAT (Soil Water Assessment Tool) model. results showed that for 1980s, changes basin due more LUCC (74.5%) than (21.3%). While accounted 60.7% 1990s, explained 57.3% change. For 2000s, contributed 57.7% HRB remaining 42.0%. Spatially, had largest effect on hydrology upstream region HRB,...

10.1038/srep33704 article EN cc-by Scientific Reports 2016-09-20

With regard to global climate change due increasing concentration in greenhouse gases, particularly carbon dioxide (CO2), it is important examine its potential impact on crop development and production. We used statistically-downscaled data from 28 Global Climate Models (GCMs) the Agricultural Production Systems sIMulator (APSIM)–Wheat model simulate of future wheat Two scenarios (RCP4.5 RCP8.5) were for atmospheric gas concentrations during two different periods (2031–2060 referred as 40S...

10.3390/su10041277 article EN Sustainability 2018-04-21

Abstract Future extreme climate events will become more intense and frequent with global warming, which is a great threat to wheat productivity in the North China Plain (NCP). Projecting future changes an important prerequisite for exploring crop adaptation measures variation. In this study, we calculated 11 indices at different growth stages that are sensitive yield across NCP. The projections were sourced from thirteen Global Climate Models (GCMs) Coupled Model Inter‐comparison Project...

10.1002/joc.6674 article EN International Journal of Climatology 2020-05-25

Future climate change, especially rising temperature and varying precipitation will have significant impacts on potato production. Revealing the optimum planting date, irrigation schedule fertilizer amount under future scenarios is critical for promoting sustainable production in Agro-Pastoral Ecotone (APE). In this study, two representative stations of Wuchuan (WC) Zhangbei (ZB) APE were selected, firstly, we used well validated APSIM-Potato model to optimize date scenarios. Then different...

10.1016/j.crm.2024.100604 article EN cc-by-nc Climate Risk Management 2024-01-01
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