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Our research program is designed to advance predictive understanding of ecosystem ecology and biogeochemistry under the global environmental change via data-model integration.Our research program is designed to advance predictive
Our research program is designed to advance predictive understanding of ecosystem ecology and biogeochemistry under the global environmental change via data-model integration.Our research program is designed to advance predictive
Our research program is designed to advance predictive understanding of ecosystem ecology and biogeochemistry under the global environmental change via data-model integration.Our research program is designed to advance predictive
Our research program is designed to advance predictive understanding of ecosystem ecology and biogeochemistry under the global environmental change via data-model integration.Our research program is designed to advance predictive
Education:
Ph.D., Soil and Water Sciences, University of Florida, Dec, 2015.
M.S., Ecology, Research Center for Eco-envrionmnetal Sciences, Chinese Academy of Sciences, 2011.
University of Florida, Dec, 2015.
B.S., Environmental Science, School of Resources and Environmental Science, Wuhan University, 2008.
Address : 1A, Datun Road, Chaoyang District, Beijing, 100101, China
Email : huangyy@igsnrr.ac.cn
ORCID : huangyy@igsnrr.ac.cn
I focus on biogeochemical cycles through different component of the Earth system, mostly carbon, nitrogen and phosphorus. I use mechanistic models, machine learning, data synthesis, data assimilation, field and laboratory experiments to answer biogeochemical cycle related questions, spanning from soil microbes, plants, fish to ecosystem, global land and the earth system.
I focus on biogeochemical cycles through different component of the Earth system, mostly carbon, nitrogen and phosphorus. I use mechanistic models, machine learning, data synthesis, data assimilation, field and laboratory experiments to answer biogeochemical cycle related questions, spanning from soil microbes, plants, fish to ecosystem, global land and the earth system.
Education:
Ph.D., Soil and Water Sciences, University of Florida, Dec, 2015.
M.S., Ecology, Research Center for Eco-envrionmnetal Sciences, Chinese Academy of Sciences, 2011.
University of Florida, Dec, 2015.
B.S., Environmental Science, School of Resources and Environmental Science, Wuhan University, 2008.
Address : 1A, Datun Road, Chaoyang District, Beijing, 100101, China
Email : huangyy@igsnrr.ac.cn
ORCID : huangyy@igsnrr.ac.cn
Plants play a crucial role in maintaining life on Earth, regulating the climate, and providing a home to countless organisms. Our research team studies how plants respond to global warming and the vital role their ecosystems play in tackling climate breakdown and biodiversity loss. To explore theintricate feedbacks between global vegetation and the climate system, we use a balanced approach, integrating experimental, meta-analytical, andmodeling methods. Our primary goal is to gain a deeper understanding of ecosystems and their capacity to cope with climate change. Through ourresearch efforts, we aspire to contribute to the development of strategies aimed at addressing climate change, safeguarding the balance of nature for future generations.
Development and application of land surface models (LSMs), including 'hybrid modelling' that integrates process-based model (PBMs) with artificial intelligence (AI).
My current research focuses on CO2 emissions from land use change, land carbon budgets, extreme temperature variations, and the analysis of ecological and remote sensing data.
Development of soil multi-process tracers and a Microbial Aggregate Biophysical Coupling (MABC) model
Exploring the soil mineral control mechanisms of Soil Organic Carbon (SOC) stabilization and developing the new SOC model.
CO2 concentration modeling and carbon flux inversion, machine learning & deep learning techniques and deep learning interpretability research.
Precipitation variability and its effect on vegetation based on ORCHIDEE
My research interests include the terrestrial carbon cycle, temperature variability, rainfall variability, extreme events, and ecosystem services.
focusing on global characteristics and impacts of compound extreme weather events
Multi-source data analysis for global forest biomass retention and loss
Study on the resilience effects of flash drought and slow drought on terrestrial ecosystems
Study of changes in the spatial and temporal distribution of extreme precipitation
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