Recipient organisationCentre for Ecology & Hydrology
Funding£2.4M
PeriodMar 2020 — Mar 2021
In plain English
AI plain-English summary
In Kenya, India, and Indonesia, researchers are building computer models that predict floods and droughts in regions where weather data is scarce. This matters because climate change is making water supplies less reliable for the 83% of the world’s farmers who work small plots of land. Current forecasting tools often fail in data-poor regions, leaving communities unable to prepare for extreme events or manage day-to-day water needs. The project also tackles two related problems: restoring degraded land and water bodies, and making smallholder farming more productive without damaging the environment. If successful, the research will give local water managers and farmers practical tools to reduce the impact of floods and droughts, improve the reliability of drinking water and irrigation, and restore polluted or eroded land. The findings could also inform national policies on land management and agricultural sustainability across sub-Saharan Africa and South and Southeast Asia. While the work is applied, it advances fundamental understanding of how ecosystems recover from degradation and how hydrological models can be adapted to work with limited data.
View original technical description
Globally, human societies face a burgeoning challenge of achieving sustainable use of natural resources to provide food, fuel, water and amenities for an increasing population under the context of climate change. At its most fundamental, this will require achieving food and water security of supply without threatening the ability of the environment to support future generations. An increasingly urbanized and wealthy population is driving a growing and changing demand for food, water, land and other natural resources and contributing to environmental degradation. These demands combined with climate change, and its associated natural hazards, were critical considerations in the development of the UN's Sustainable Development Goals (SDGs, 2015). The challenges posed by the SDGs require long term national scale research-based solutions. SUNRISE seeks to improve livelihoods and wellbeing through reduced environmental risk, improved environmental quality and improved reliability of the supply of food, water and other natural resources by providing the evidence and advice needed to improve management of the wider environment. SUNRISE will address local issues and research needs in China, India, Indonesia / Malaysia, Kenya and other countries in sub Saharan Africa and address SDGs 1, 2, 3, 6, 13 and 15. SUNRISE builds on the research themes that formed the basis of the approved NC-ODA Foundation Award with activity currently in progress: (1) developing hydro-climate services for improved water resource management and flood and drought forecasting and preparedness; (2) restoration and remediation of degraded resources and environments to improve people's health and economic security, and; (3) management of land resources to ensure environmental sustainability and economic growth and resilience. These will be developed and delivered in partnership with in-country partners and stakeholders to address their most pressing environmental needs. Hydro-climate services are tools and methods that translate data and knowledge of current and potential future hydrological conditions into information that will inform better water policy, planning, management and decision-making. The science challenge is to adapt CEH's models and understanding to perform at an acceptable level of uncertainty in data sparse regions. In meeting this challenge we will both advance UK research capabilities and provide tools, methodologies and assessments to reduce the impact of extreme events on people and their livelihoods and increase the reliability and resilience of water supplies for people, livestock and businesses on a day to day basis. Restoration and remediation options require research aimed at understanding and quantifying the key factors and processes that cause environmental degradation and upon which mitigation measures rely. This theme will seek to fill a knowledge gap by determining the key factors that affect the rate and stability of recovery as systems are restored, and the resilience of restored systems to future change. In investigating this knowledge gap in real-world situations the findings will advance science knowledge and inform new policy and management approaches needed in India, China, Indonesia, Malaysia and Kenya but with global relevance. Increasing agricultural productivity sustainably is a clear priority both for food provision and also as a pathway to alleviating poverty, particularly for the 83% of the global agricultural population who rely on smallholder agriculture. Small holder agriculture is often not as productive as it could be: working with local agronomists we will investigate new approaches to achieve ecological intensification, through diversification of smallholder land, water and livestock management to deliver improved productivity, resilience and sustainability.
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