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174 Projects, page 1 of 35
  • Funder: UK Research and Innovation Project Code: NE/X006247/1
    Funder Contribution: 9,440,200 GBP

    The land can contribute to climate mitigation through absorbing more carbon dioxide and reducing other greenhouse gas emissions by growing more trees and re-wetting the peatlands. But as the climate warms and more demands are made of the land to feed a growing population, there is less space for these land-based climate mitigation activities and less for nature and biodiversity. Meanwhile, the changing climate is bringing more extreme weather which impacts on our safety. To grow a green future that is safe and resilient to these changes, we need to understand the linkages between the land and water systems of the earth. We need to have clear evidence of how changes we make on land and water management impact on the other aspects of the land-system, including how they will respond to increasing temperatures and extreme weather systems. This programme of work will bring together scientists from many different disciplines to work together to understand three key questions: What is limited our ability to reduce our greenhouse gas emissions from the land? What are the options for reducing our greenhouse gas emissions and what impacts do they have on the environment? How can we improve our resilience to climate change through improved forecasting and prediction of extreme events? By bringing together scientists in disciplines from soils, water, air and ecosystem dynamics, we will improve our understanding of the complex system that lies at the heart of the problem. We will use novel downscaling techniques and uncertainty framework to link global models to regional and national scale simulations. This will enable us to reality check the assumptions made in the global analysis against local knowledge. Using the downscaled data as a base-line, we will develop new knowledge of how the land-system interacts with the climate system at the local scale. Case studies around ecosystem restoration in sub-saharan Africa and gradients of intensity of agriculture in Southeast Asia will be used to quantify the impact of ecosystem management on climate mitigation metrics. Results of these case-studies will be used to inform the global assessment of land-management potential to contribute to Net Zero. We will create a global network of scientists bringing their knowledge of the environmental and socio-political system and how it interacts. Global and regional data will be made available to the national (UK) and international community of scientists to address these urgent issues

  • Funder: UK Research and Innovation Project Code: 10040360
    Funder Contribution: 357,649 GBP

    Worldwide freshwater resources are under increasing pressures of rapidly intensifying climate change effects putting the availability and quality of water resources and socio-economic developments at risk. River basin organisations need to be prepared. STARS4Water aims at improving the understanding of climate change impacts on water resources availability and the vulnerabilities for ecosystems, society and economic sectors at river basin scale. STARS4Water will develop and deliver new data services and data-driven models for better supporting the decision making on planning on actions for adaptative, resilient and sustainable management of fresh water resources. The project team will work with seven river basin organisations through a co-creation, living lab approach. The new services and models will be co-designed with stakeholders to meet their needs on data and information, ensuring relevance and uptake for use beyond the lifetime of the project. The STARS4Water project includes two distinctive elements: first, the need for an international stakeholder community to address the stakeholders’ needs and requirements and second, the development and application of innovative data and model concepts. New datasets and models offer possibilities for improved projections on water resources availability, and the new insights on links between water, nature, society ask for a broader set of indicators to be considered in decision-making on water management. These novel datasets, models and indicators are not yet fully matured and integrated in current river basin management information tools and decision-making processes. We acknowledge that these elements are of a different nature, being a stakeholder-driven approach and rather science-(data-)driven in the application of novel data and models, respectively. It is the consortium’s firm conviction that for substantial progress in climate change adaptation the two elements need to be combined.

  • Funder: UK Research and Innovation Project Code: 10059433
    Funder Contribution: 67,651 GBP

    no public description

  • Funder: UK Research and Innovation Project Code: 10053484
    Funder Contribution: 967,324 GBP

    The objective of AI4SoilHealth is to co-design, create and maintain an open access European-wide digital infrastructure, compiled using state-of-the-art Artificial Intelligence (AI) methods combined with new and deep soil health understanding and measures. The AI-based data infrastructure functions as a Digital Twin to the real-World biophysical system, forming a Soil Digital Twin. This can be used for assessing and continuously monitoring Soil Health metrics by land use and/or management parcel, supporting the Commission’s objective of transitioning towards healthy soils by 2030. The project is divided into seven (7) work-packages including: (WP2) Policy and stakeholder engagement - networking and synchronising with EU and national programmes, (WP3) Soil health methodology and standards - developing/testing methodology to be used by WPs 4-6, (WP4) Soil health in-situ monitoring tools and data - developing field and laboratory solutions for Observations & Measurements, (WP5) Harmonised EU-wide soil monitoring services - developing the final suite of tools, data and services, (WP6) Multi-actor engagement pilots - organizing field-works and collect users' feedback, (WP7) Soil literacy, capacity building and communication - organizing public campaigns and producing educational materials. Key deliverablesinclude: 1) Coherent Soil Health Index methodology, 2) Rapid Soil Health Assessment Toolbox, 3) AI4SoilHealth Data Cube for Europe, 4) Soil-Health-Soil-Degradation-Monitor, and 5) AI4SoilHealth API and Mobile phone App. Produced tools will be exposed to target-users (including farmer associations in >10 countries), so their feedback is used to improve design/functionality. Produced highresolution pan-European datasets will be distributed under an Open Data license, allowing easy access by development communities. AI4SoilHealth will provide an effective Soil Health Index certification system to support landowners and policy makers under the new Green Deal for Europe.

  • Funder: UK Research and Innovation Project Code: 10106103
    Funder Contribution: 338,675 GBP

    The rate of global biodiversity decline is unprecedented and accelerating. Urban sprawl, population growth and industrialization bring previously unrecognised drivers of biodiversity loss, including light and noise pollution. The EU has adopted policies, including the EU Green Deal and the EU Biodiversity Strategy for 2030, to enable transformative change through better protection of biodiversity and nature restoration activities. However, current projections suggest that the EU’s 2030 biodiversity target will not be met; an alternative plan is required. PLAN-B takes an integrated, multidisciplinary and multi-actor approach to deliver better understanding and support reduction of light and noise pollution impacts on terrestrial biodiversity and ecosystem services. Key outputs of PLAN-B include: a framework and supporting handbook for assessing light and noise pollution impacts to inform environmental decision-making; an open access database on light and noise impacts on terrestrial biodiversity; spatiotemporal models for evaluating noise and light impacts on terrestrial biodiversity and ecosystem services, including at the European scale; innovative solutions to prevent and mitigate light and noise pollution impacts; recommendations for enhancing legal and policy frameworks to reduce light and noise pollution impacts on terrestrial biodiversity; and sustainable Communities of Practice (CoPs), centred around key stakeholder groups, on the impacts of light and noise on terrestrial biodiversity. Working with European and international partners, including from Brazil, CoPs, key networks (e.g. Biodiversa+) and the Horizon Europe sister project on aquatic biodiversity and ecosystems, PLAN-B will maximise its global reach and research impact. Through its work programme, PLAN-B will create the enabling conditions to support and enhance activities planned in the EU biodiversity strategy and provide a new path towards meeting the EU and international biodiversity targets.


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