The overarching objective of OneSTOP is to pioneer an innovative and joined-up approach to biosecurity for terrestrial invasive alien species, strengthening the interconnections between animal, plant, human and environmental health. OneSTOP aims to harness current technologies and citizen science, while overcoming challenges posed by dispersed and fragmentary processes, policies, and knowledge, to deliver methods for identification, early detection and surveillance of invasive alien species. OneSTOP aims to achieve transformative results to minimise the introduction, establishment and spread of invasive alien species by integrating cutting-edge detection methods, underpinned by prioritisation and robust models, alongside stakeholder engagement to inform harmonised policies and facilitate knowledge exchange. The outcomes will be relevant for invasive alien species policy, noting the importance of enhancing collaboration and coordination across local, national, and regional scales, recognising that geographic boundaries do not confine the impact of these species. By adopting a holistic and interconnected approach, OneSTOP seeks to establish a strategy to achieve rapid and transformative progress in detecting, eradicating and controlling invasive alien animals and plants, ultimately contributing to a more secure and resilient environment. Throughout, OneSTOP is based upon the strategic actions recommended for integrated governance of biological invasions in the recently published IPBES Thematic assessment report on invasive alien species and their control (IPBES 2023).

REDESIGN will support the transformation of local urban food systems by creating Food Value Systems (FVS). FVSs aim to strengthen urban resilience through food-led green urban and peri-urban infrastructure enhancement, foster participation in the food system of local communities (with a particular focus on vulnerable groups), contribute to the quality and beauty of living places, and mitigate climate change through the integration of urban agriculture with the built environment. The FVSs will operate through the development and application of a “Learning Loop” methodology grounded on NEB values to accelerate innovation in all the steps of the food system (including production, consumption, exchange, and disposal) and expand beyond the notion of ‘food chain’ to integrate the cultural, social and political dimensions of the transformation. The network will consist of three main groups of actors, ‘observation’ cases, ‘implementation’ cases, and a board of cities. Observation cases exemplify consolidated best practices. In the pilots, the REDESIGN Food Value Networks will be set up and implemented with the involvement of local stakeholders, particularly vulnerable groups. Each implementation case will have a specific focus on one of the domains of the urban food system (nutrient recovery and food production, the setting up of a multifunctional food lab, and food policy councils). The implementation cases will become Living Labs, through which the innovation in local food value networks will scale up at two levels: the metropolitan one, contaminating nearby districts through training and transfer, and the international one, enhancing the observation cases (closing the ‘learning loop’), and informing the board of cities for policy innovation and learning. Results will include regenerated neighborhoods in the implementation cases, the setting of three Living Labs steering the Food Value Networks, a Learning Loop methodology, all scalable and replicable in other contexts.

Background: The EU Green Deal through the Farm to Fork and Biodiversity 2030 strategies aims to make Europe a climate-neutral continent by 2050 while ensuring food security. Achieving this ambitious objective will require the adoption of sustainable agricultural soil management practices. Management of agro-ecosystems to enhance both soil and subsoil organic carbon (SOC) storage could potentially be a strategy to mitigate climate change by reducing increases in atmospheric carbon dioxide (CO2) concentration. However, long-term SOC storage is dependent on many factors, especially the interactions with other nutrients. The coupled Carbon-Nitrogen-Phosphorus cycles mediates soil organic matter formation and turnover. Soil phosphorus (P) is a key nutrient for crop growth and P limitation can reduce plant and soil microbial biomass a?ecting SOC sequestration. In vitro studies have shown that the current agronomic optimum soil P concentration signi?cantly reduces nitrous oxide, a potent greenhouse gas (GHG) emissions, soil nitrogen (N) mineralisation, N immobilisation and improves prediction of C ?uxes. In particular, the gross rates of elemental transformations in soil are only poorly understood. Varying P level impacts on microbial composition and activities which are predicted to control speci?c transformation pathways within the C and N cycles in soil in?uencing the stabilisation of GHG emissions, SOC and nutrients. While the stoichiometric constraint of P on plant growth is known, the e?ects of this constraint on other soil processes at di?erent P levels is uncertain, particularly in relation to GHG emissions and N and C cycling. A number of long term P experiments in the EU and New Zealand will be utilised to investigate soil P availability on SOC sequestration and GHG emissions and CN cycling in soils. Overarching aim: ICONICA seeks to quantify the e?ect of P availability on soil C sequestration, N cycling, GHG emissions and associated soil microbial processes within managed grassland and arable systems in order to identify mechanisms for SOC and N sequestration. Data generated by ICONICA will be used to identify optimal soil P levels for SOC sequestration, minimizing GHG emissions, while maintaining crop yields from various agricultural soils. Speci?c objectives: ICONICA will employ a unique set of long term P fertilisation trials from ?ve countries, including a range of P treatments, to establish the relationship between long term P availability and (i) soil C:N:P stoichiometry, (ii) SOC stocks (SOC fractions, OM decomposability), (iii) microbiologically mediated gross nutrient transformations in grassland and arable soils with respect to SOC (iv) GHG emissions, (v) model management practices that minimize GHGs and increase SOC stocks. We hypothesize that the e?ect of soil P availability on SOC and N turnover depends on soil nutrient conditions (C:N:P ratio). We hypothesize that 1) at high soil P availability GHG emissions, in particular N2O, are increased due to increasing microbial demand for N,and 2) SOC turnover and N cycling will increase, as a result of elevated P, thus reducing the potential for SOC sequestration. The project will combine soil CNP characterisation with soil biological characterisation of long term P experiments, stable isotope tracing and modelling, soil microbial functioning. The data will be used to parameterise a CNP model to identify the optimal soil P level from a soil carbon, GHGs and agronomic perspective. Impact: An improved understanding of soil P availability on soil C and N storage, and cycling mechanisms, will provide knowledge for improving soil management practices aimed at increasing carbon sequestration and reducing GHG emissions. The project will identify the optimal soil P level to optimise SOC accumulation, GHGs and crop yields.