The UK needs a single, reliable computer model that can show where to plant trees, restore peatlands, or change farming practices to lock away carbon while also protecting food production and wildlife. Current models can predict climate risks to crops, floods, and biodiversity, but they cannot map net-zero pathways. They also lack good data on soil carbon and soil health—a critical gap, because soils store huge amounts of carbon and underpin food security. OpenCLIM-LANDS will fill that gap by building a validated, UK-wide modelling framework that integrates new empirical data on soil carbon storage, soil microbiome health, and long-term carbon sequestration potential. The team will also develop robotic monitoring to measure and verify soil carbon changes on the ground. If successful, the framework will give government agencies (DEFRA, the Environment Agency, NatureScot), farming groups, and NGOs a practical tool to identify land-use interventions that maximise synergies—for example, a wetland restoration that stores carbon, reduces flood risk, and boosts biodiversity—while minimising trade-offs like lost farmland. The project’s close engagement with farmers and land managers ensures the resulting decision-support tools reflect real-world constraints. This is applied, policy-facing research: it aims to directly inform the UK’s path to net zero by 2050.
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OpenCLIM-LANDS will provide decision makers with the insights urgently needed to put the UK on a path to deliver net zero emissions by 2050, while also delivering climate resilient soil health, food security, and biodiversity net-gain. We will identify spatially explicit intervention scenarios for land uses that exploit synergies between climate mitigation, adaptation, and biodiversity. We will create a validated, UK-wide, spatially explicit integrated modelling framework, OpenCLIM-LANDS, to evaluate potential net zero pathways. OpenCLIM-LANDS quantifies the implications of land interventions on soil carbon and health, biodiversity, agriculture, and flood risk, while exploring the synergies and trade-offs between interventions. Close stakeholder engagement will provide the opportunity for governments, agencies, and NGOs to engage with farming groups and academics to develop win-win net zero solutions. Our project has extensive stakeholder alignment through its partners and project networks with DEFRA, DESNZ, CCC, JNCC, EA, Nature Scotland, DAERA, land managers, farming groups, the Soil Association Exchange and the ELM Network+. OpenCLIM-LANDS builds on the existing spatially explicit modelling framework, OpenCLIM, developed under previous UKRI funding. OpenCLIM is capable of simulating climate change risks to agriculture, flooding risk and biodiversity, including the influence of alternative land use intervention scenarios, but was not designed to specifically look at net-zero pathways. While a wealth of observational data exists for UK biodiversity, flooding risk and crop yields, there is a lack of empirical data on soil carbon storage and soil health. To extend the capability of OpenCLIM we will parameterise, and ground truth soil carbon and soil health using empirical data, develop and validate a novel framework for soil carbon and soil health evaluation, and develop and trial robotic monitoring for measuring and verifying soil carbon and health. Data relating to soil carbon and long-term carbon storage potential will feed into OpenCLIM-LANDS to give real world grounding to its carbon-evaluation, while soil microbiome data, as a qualifier of soil health will be reconciled with OpenCLIM's projections for the terrestrial biosphere. We will also clarify linkages between soil carbon resources and their regulation of soil health. Alternative scenarios of land use and management interventions have different implications for biodiversity conservation, will sequester different amounts of carbon, and result in up/down regulation of soil health. These dissimilar carbon resources will select for different soil biological assemblages and therefore soil health under contrasting intervention regimes. The habitats in which the interventions are applied will also affect the potential for carbon drawdown and biodiversity outcomes. When considered at scale, scenarios of interventions will result in spatial gradients of sequestered carbon, soil health and biodiversity outcomes. Similarly, the climate resilience of these carbon and biodiversity landscape assets will also differ. We will explore multiple scenarios of land use interventions linked to landscape recovery and GGR interventions. The project will culminate in the identification of new, spatially explicit, intervention scenarios for land use interventions exploiting synergies and minimising trade-offs. Through our extensive farmer/stakeholder network we will engage in two-way exchange with the practitioners who will ultimately deliver a net zero landscape. We will listen to their voice, respond to it, and share our research and decision support tools with them.
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