A5078016930- Climate change impacts on agriculture
- Climate variability and models
- Plant Water Relations and Carbon Dynamics
- Hydrology and Watershed Management Studies
- Soil Carbon and Nitrogen Dynamics
- Hydrology and Drought Analysis
- Plant responses to elevated CO2
- Rice Cultivation and Yield Improvement
- Soil and Water Nutrient Dynamics
- Pasture and Agricultural Systems
- Irrigation Practices and Water Management
- Crop Yield and Soil Fertility
- Greenhouse Technology and Climate Control
- Allelopathy and phytotoxic interactions
- Meteorological Phenomena and Simulations
- Flood Risk Assessment and Management
- Climate Change and Health Impacts
- Weed Control and Herbicide Applications
- Agronomic Practices and Intercropping Systems
- Cryospheric studies and observations
- Sugarcane Cultivation and Processing
- Advanced machining processes and optimization
- Peatlands and Wetlands Ecology
- Agricultural risk and resilience
- Remote Sensing in Agriculture
UNSW Sydney
2017-2025
New South Wales Department of Primary Industries
2016-2025
Dali University
2025
Second Affiliated Hospital of Nanjing Medical University
2025
Jinan University
2025
Wagga Wagga Base Hospital
2015-2024
ARC Centre of Excellence for Climate System Science
2017-2024
Charles Sturt University
2008-2024
Wenzhou University
2021-2024
Institute of Disaster Prevention
2024
Abstract Recent studies have reported a variety of health consequences climate change. However, the vulnerability individuals and cities to change remains be evaluated. We project excess cause-, age-, region-, education-specific mortality attributable future high temperatures in 161 Chinese districts/counties using 28 global models (GCMs) under two representative concentration pathways (RCPs). To assess influence population ageing on projection heat-related mortality, we further age-specific...
Extreme weather events threaten food security, yet global assessments of impacts caused by crop waterlogging are rare. Here we first develop a paradigm that distils common stress patterns across environments, genotypes and climate horizons. Second, embed improved process-based understanding into farming systems model to discern changes in under future climates. Third, avenues for adapting cropping contextualised environment. We find yield penalties increase from 3-11% historically 10-20%...
Abstract Population growth and economic development in China has increased the demand for food animal feed, raising questions regarding China’s future maize production self-sufficiency. Here, we address this challenge by combining data-driven projections with a machine learning method on data from 402 stations, 87 field experiments across China. Current yield would be roughly doubled implementation of optimal planting density management. In 2030 s, estimate 52% improvement through dense soil...
Abstract Chitosan has been shown to be a promising scaffold for various applications in tissue engineering. In this study, chitosan‐gelatin complex was fabricated as by freezing and lyophilizing technique. Chitosan's structure characteristics are similar those of glycosaminoglycan (GAG) its analogs, possesses biological activities, whereas gelatin can serve substrate cell adhesion, differentiation, proliferation. With the use autologous chondrocytes isolated from pig's auricular cartilage...
This paper presents spatial interpolation techniques to produce finer-scale daily rainfall data from regional climate modeling. Four common (ANUDEM, Spline, IDW, and Kriging) were compared assessed against station modeled rainfall. The performance was by the mean absolute error (MAE), relative (MRE), root squared (RMSE), temporal distributions. results indicate that Inverse Distance Weighting (IDW) method is slightly better than other three methods it also easy implement in a geographic...
Global climate models (GCMs) are useful tools for assessing change impacts on temperature and rainfall. Although data from various GCMs have been increasingly used in impact studies, configurations module characteristics vary one to another. Therefore, it is crucial assess different confirm the extent which they can reproduce observed Rather than interdependence of each GCM, purpose this study compare capacity four multi‐model ensemble (MME) methods (random forest [RF], support vector...