Huanyuan has special interest in applying mathematical modelling and remote sensing technique in studying the terrestrial carbon cycle. Before coming to Oxford, Huanyuan completed a dual-Bachelor Degree in Environmental science, University of Birmingham and Sun Yat-sen University. an MRes on Ecosystem and Environmental change, Imperial College London. Before coming to Oxford, Huanyuan previously worked on the CO2 fertilization effect on terrestrial ecosystem and land carbon sink modelling. Huanyuan is also a qualified PADI dive master.
Related Research Themes
Ecology
Testing the effectiveness of different ecological approaches for nature recovery to support biodiversity and the delivery of ecosystem services such as climate change mitigation and adaptation.
Scale and Technology
Tracking and evaluating nature recovery at both fine resolution and large spatial scales utilising state-of-the-art remote sensing, big data, and deep machine learning techniques.
Related Projects
Social ecological mapping for nature recovery
Developing social ecological maps for land use planning, investment and inclusive decision-making.
Bridging Field Data and Vegetation Models: Forest Carbon Cycling Across Scales
Vegetation models have been used by many organisations (including the IPCC) to predict climate change on a global scale, but are these models getting the current ecosystem right?
Related Outputs
Contrasting carbon cycle along tropical forest aridity gradients in West Africa and Amazonia.
Tropical forests cover large areas of equatorial Africa and play a substantial role in the global carbon cycle. However, there has been a lack of biometric measurements to understand the forests’ gross and net primary productivity (GPP, NPP) and their allocation. Here we present a detailed field assessment of the carbon budget of multiple forest […]
Quantifying the functional composition and potential resilience hotspots across a large latitudinal and environmental gradient in South American forests
Accurately inferring plant functional trait composition, diversity, and redundancy across space and time is pivotal for understanding environmental change impacts on forests’ biodiversity and functioning.
Partners
Related Landscapes
Ghana
Initiatives, including the Ghana Cocoa Forest REDD+ Programme and Cocoa and Forests Initiative, need to be centred around local communities to ensure they succeed and deliver equitable outcomes.
Oxfordshire
With its active network of nature recovery groups, Oxfordshire presents a unique opportunity to test and showcase a portfolio of different ecosystem restoration strategies, to become a model county for nature recovery. Our work in this landscape aims to build a community of practice between the University and local practitioners, and will also form a […]
