A5100754733- Climate change impacts on agriculture
- Climate variability and models
- Plant responses to elevated CO2
- Environmental and Agricultural Sciences
- Atmospheric aerosols and clouds
- Remote Sensing and Land Use
- Rice Cultivation and Yield Improvement
- Environmental Changes in China
- Plant Water Relations and Carbon Dynamics
- Atmospheric Ozone and Climate
- Climate Change, Adaptation, Migration
- GABA and Rice Research
- Solar Radiation and Photovoltaics
- Atmospheric and Environmental Gas Dynamics
- Crop Yield and Soil Fertility
- Land Use and Ecosystem Services
- Atmospheric chemistry and aerosols
- Agricultural risk and resilience
- Remote Sensing in Agriculture
Hebei Academy of Sciences
2024
Chinese Academy of Meteorological Sciences
2010-2023
China Meteorological Administration
2011-2019
It is of great practical significance for regional sustainable development and ecological construction to quantitatively analyze the impact land expansion on terrestrial ecosystem carbon storage explore optimization scheme simulating improve future storage. Based use cover change (LUCC) other geospatial data Beijing-Tianjin-Hebei Urban Agglomeration from 2000 2020, this study utilized Integrated Valuation Ecosystem Services Tradeoffs (InVEST) model patch-generating land-use simulation (PLUS)...
Quantifying and separating different sources of uncertainty helps to improve the understanding projected effects climate change can inform decision‐making in adaptation planning. This paper (1) evaluated four process‐based crop models; (2) assessed on maize yield using outputs from seven global models (GCMs) under three representative concentration pathways (RCPs); (3) disaggregated contributions multiple models, GCMs RCPs overall uncertainty. All captured more than 80% variation days...
Abstract Projections of climate change impacts on crop yields are subject to uncertainties, and quantification such uncertainty is essential for the effective use projection results adaptation mitigation purposes. This work analyzes uncertainties in maize yield predictions using two models together with three projections downscaled one regional model nested global under A1B emission scenario northeast China (NEC). were evaluated Zhuanghe agrometeorological station NEC 2021–50 period, taking...
Abstract. The fraction of ultraviolet (UV) radiation to broadband shortwave (SW) (FUV=UV/SW) and the influences aerosol, precipitable water vapor content (PWV) snow on FUV were examined using two year's worth ground-based measurements relevant variables in northern China. annual mean was 3.85%. Larger monthly values occurred summer minimum appeared winter. Under cloudless condition, decreased linearly with τ500 nm resulting regression indicated a reduction about 26% daily per unit nm,...
The Yangtze River basin is a typical region of the world that has well-developed economy but also greatly affected by multiple climate extremes. An improved understanding future trends and associated exposures in this urgent needed to address socioeconomic risks. This research aims quantify historical projected population exposure precipitation extremes using meteorological records downscaled models. study found hazard zone for during baseline period was primarily located mid-lower basin,...
Measuring the impacts of uncertainties identified from different global climate models (GCMs), representative concentration pathways (RCPs), and parameters statistical crop on projected effects change yields can help to improve availability simulation results. The quantification separation sources uncertainty also understanding provide a theoretical basis for their reduction. In this study, maize yield predictions are evaluated by using 30 sets together with eight GCMs reference three...
Abstract Based on the daily meteorological monitoring data of Xiaozhan rice in Tianjin planting area from 2010 to 2020 and observation nutritional quality 2014 2020, comprehensive characterization parameter M evaluation model conditions' influence was established by principal component analysis, ordered sample optimal clustering method stepwise regression method. The climatic grades were divided into four grades. ( ) can be determined using five factors (protein, amylose, gel consistency,...
Abstract Understanding the impact of climate warming on crop yield and its associated mechanisms is paramount for ensuring food security. Here, we conduct a thorough analysis vapor pressure deficit (VPD) maize yield, leveraging rich dataset comprising temporal spatial observations spanning 40 years across 31 maize-growing locations in Northeast North China, each characterized by unique conditions. Our investigation extends to influencing meteorological factors that drive changes VPD during...