MIDST-CZ: Maximising Impact by Decision Support Tools for sustainable soil and water through UK-China Critical Zone science

Lead Research Organisation: University of Leeds
Department Name: School of Earth and Environment

Abstract

Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.

Planned Impact

The following will benefit from this research:
1. Those living in and managing the land for food production, and soil and water quality, and their conservation will benefit from the decision support tools (DST) that will be refined or developed based on our Critical Zone integrated understanding of how the environment functions. These tools will allow these stakeholders to be guided on best management practices for their business and the environment. The DSTs will lead to improvements in their quality of life, ensuring the fundamental needs (generation of food and associated economic development; access to water of appropriate quality) and decisions of how to achieve these, are underpinned by a useful knowledge-base.
2. Commercial organisations that depend on innovation, such as 'app' developers will benefit from our engagement with them to explore in what form the decision support tools should be made available. Moreover, the DSTs will be useful to agronomists and the fertiliser industry. Specific interest from two Chinese companies producing nutrients from sewage and other organic wastes has been demonstrated in letters of support.
3. This joint research will remain of benefit to the NSFC, raising their profile in the UK and amongst other critical zone scientists. The exchanges of skills and information that will occur during this research with Chinese colleagues will build international competitiveness of science in both UK and the UK. The research will ultimately demonstrate to the international scientific community the value sensitive environments, and the benefits of international cooperation in research to tackle grand challenges of food security, land degradation and climate change. It will help consolidate each country's position as a future key research partner, and particularly the NSFC in China as a partner of choice for future co-funded research with the UK.
4. Through publication and conference activity, the Chinese and UK academic parties will demonstrate to the community how their scientific endeavour can be used to create tangible outputs to improve the quality of life and global environment for those on low incomes or managing degraded land. They will benefit through enhanced international standing and resultant funded research collaboration.
5. The wider public, and local communities hosting the research, will benefit during the research activity through research team communication activity that meets their passion for and excites them to understand the natural world more deeply. This also includes those not involved directly in the research who may be asked to help gather data and in turn will receive training in new skills. In turn if this encourages greater interest in how STEM subjects also inform social development, the relevant country science base will benefit.
6. Through progress towards achieving sustainable development goals the global community will benefit.

Publications

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Li Z (2020) Land cover harmonization using Latent Dirichlet Allocation in International Journal of Geographical Information Science

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Comber A (2023) Multiscale spatially varying coefficient modelling using a Geographical Gaussian Process GAM in International Journal of Geographical Information Science

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Brunsdon C (2020) Opening practice: supporting reproducibility and critical spatial data science in Journal of Geographical Systems

 
Description The award is Phase 2 of the UK-China critical zone observatory programme and is funded to deliver impact that builds from the Phase 1 projects. We are undertaking commercial field trials of wheat-rice rotation agriculture using organic fertiliser to reduce the use of mineral fertiliser. There is no direct impact yet, but the first second year of field trials is now completed with results being collated and an additional year of field trials is underway. However, the collaboration and know-how established with this project contributed to the successful award of BBSRC grant BB/X005879/1 Assessing Agroecology Benefits and Novel Chemical and AMR Risks in Adopting a Sanitation-Agriculture Circular Economy, which support the development of a UK innovation community in the economic sectors for which this project has been relevant; agriculture, sanitation and wastewater treatment, environmental technology.
First Year Of Impact 2019
Sector Environment
Impact Types Economic

 
Description Assessing Agroecology Benefits and Novel Chemical and AMR Risks in Adopting a Sanitation-Agriculture Circular Economy
Amount £160,534 (GBP)
Funding ID BB/X005879/1 
Organisation Biotechnology and Biological Sciences Research Council (BBSRC) 
Sector Public
Country United Kingdom
Start 06/2022 
End 06/2023
 
Title A dataset of dockless bike sharing trips and road network for Nanchang, China 
Description The dataset includes the data and scripts in the paper " Yang Y, Heppenstall A, Turner AGD and Comber A. A spatiotemporal and graph-based analysis of dockless bike sharing patterns to understand urban flows over the last mile. Paper accepted for publication in Computers Environment and Urban Systems (July 2019)". It contains (1) Road Network and dockless bike trips of 10 weekdays in Nanchang, China (2) Scripts used to produce the result in the paper. 
Type Of Material Database/Collection of data 
Year Produced 2019 
Provided To Others? Yes  
 
Title Dataset of the enhanced demand prediction models in bike-sharing systems using graph structural information 
Description The dataset underpins the findings reported in Yang, Y., Heppenstall, A., Turner, A., & Comber, A. (2020). Using graph structural information about flows to enhance short-term demand prediction in bike-sharing systems. Computers, Environment and Urban Systems, 83, 101521. https://doi.org/10.1016/j.compenvurbsys.2020.101521 The enhanced machine learning models, feature importance models are included along with the bike-sharing data. 
Type Of Material Database/Collection of data 
Year Produced 2020 
Provided To Others? Yes  
URL http://archive.researchdata.leeds.ac.uk/803/
 
Description Commercial field trials for organic fertiliser applications in wheat-rice crop rotation in Jiangsu Province, China 
Organisation Jiangsu Academy of Agricultural Sciences
Country China 
Sector Public 
PI Contribution Field trial design and translation of basic and applied research results to support commercial field trials.
Collaborator Contribution Hosting and conducting jointly-designed commercial field trials at the JAAS field campus in Jiangus Province, China.
Impact The first year of field trials has been completed and results are being collated and a second year of crop rotation is underway.
Start Year 2018
 
Description Dual PhD Programme in Critical Zone Science Nanjing University and University of Leeds 
Organisation Nanjing University (NJU)
Country China 
Sector Academic/University 
PI Contribution University of Leeds hosts students starting in Nanjing University for the final 2 years of the 4 year dual PhD programme and hosts the first 2 years of students starting at University of Leeds, before they complete the final 2 years at Nanjing University. The first students will be enrolled on the dual PhD programme at Nanjing University in autumn 2021. University of Leeds contributes primary supervision to students starting at University of Leeds and co-supervision of students starting at Nanjing University.
Collaborator Contribution Nanjing University hosts students starting at University of Leeds for the final 2 years of the 4 year dual PhD programme and hosts the first 2 years of students starting at Nanjing University, before they complete the final 2 years at University of Leeds. Nanjing University. The first students will be enrolled on the dual PhD programme at Nanjing University in autumn 2021. Nanjing University contributes primary supervision to students starting at Nanjing University and co-supervision of students starting at University of Leeds.
Impact Two students enrolled in the programme have completed the first two years at Nanjing U. and have joined U. Leeds in January 2023 for the final 2 years. The next three students on the programme have completed their first year at Nanjing U. and will join U. Leeds in autumn 2023. Block award of 4 24-month PhD scholarships per year from the Chinese Scholarship Council to cover living expenses for Chinese students during the final 2 years of the programme when they are based at University of Leeds.
Start Year 2021
 
Description Joint International Research Centre for Critical Zone Science 
Organisation Nanjing University (NJU)
Country China 
Sector Academic/University 
PI Contribution £15,000 in support for academic and research staff exchanges and PhD academic visits. Access to laboratory and field research facilities.
Collaborator Contribution Nanjing University (NJU) was a core partner on the Peri-Urban CZO project. During that project in Phase 1 of the UK-China critical zone observatory prgramme, and during the MIDST-CZ project which is funded during Phase 2 of the UK-China programme, NJU continues to provide financial support and laboratory and field research facilities in China for academic and research staff exchanges and PhD student visits with University of Leeds. NJU also acts as liaison with regional business and government collaborators in Jiangsu province for the Midst-CZ project. The NJU partners are also international collaborators on the BBSRC grant BB/X005879/1 Assessing Agroecology Benefits and Novel Chemical and AMR Risks in Adopting a Sanitation-Agriculture Circular Economy.
Impact Prof. Hongyan GUO, Nanjing University was awarded a Chinese Scholarschip Council 12-month fellowship for an academic visit to University of Leeds starting in March 2018.
Start Year 2017