Agricultural Genome to Phenome Initiative - Research Grants

Understanding and tackling the decline of insects is sponsored by European Commission — Horizon Europe. Expected Outcome: Project results are expected to contribute to all of the following expected outcomes: researchers better understand the status and population trends of insect species and the drivers of their decline; competent authorities in charge of biodiversity policies at all levels are capable of taking informed decisions, based on better understanding and valuation of socioeconomic benefits and ecological importance of insects, including for climate action; society and relevant land managers are better informed and equipped to tackle the drivers of the decline of insects. Scope: Insects play a vital role contributing to ecosystem functions in addition to pollination, such as decomposition and nutrient cycles, soil formation (including carbon sequestration) and pest control, control functions essential for maintaining ecosystem complexity, and are an indispensable part of the food chain. Those functions are key for climate change mitigation and allow the provision of ecosystem services which have economic benefits and support human well-being. Additionally, insects play a key role in other socioeconomic areas such as medical and pharmaceutical applications (e.g. antimicrobial peptides), forensic science or biotechnology. The dramatic decline of insects, estimated around 75% in the last three decades, is raising increasing concern among scientists and in the public, since it could have far-reaching implications. In order to be able to tackle this decline, there is a need to improve our understanding of the drivers of loss and how they interplay. A better knowledge of insects themselves is necessary. With targets 4 and 5 of the EU biodiversity strategy for 2030, the EU took, among others, the commitment that by 2030 habitats and species show no deterioration in conservation trend and status, at least 30% reach favourable conservation status or at least show a positive trend, and that the decline of pollinators is reversed. According to the EU Nature Restoration Regulation, Member States shall put in place appropriate and effective measures to improve pollinator diversity and reverse the decline of pollinators by 2030. This is reflected in target 4 of the Kunming-Montreal Global Biodiversity Framework. The European Climate Law requires Member States to adopt and implement national adaptation strategies and plans in which they should promote Nature-based Solutions and ecosystem-based adaptation. These policies and legislations have reached the implementation stage in the EU and worldwide. Successful proposals are expected to: improve understanding and identification of insects’ diversity, including through genomic approaches; focus on less known insect groups. In particular a solid knowledge has already been generated regarding pollination and pollinating insects through past and ongoing projects, therefore they are not expected to be subject to new research under this topic; assess the status and trends of insects and analyse multiple drivers affecting them, as well as the ecosystem services that insects provide, at different spatial scales. A comprehensive integrative taxonomy approach should be adopted, incorporating a multidisciplinary framework, including ecology and ecotoxicology, and integrating methods that address the diverse needs of insects across their entire lifecycle, ensuring the identification of essential habitat resources at each stage of development. To assess the status and trends of insects and the effectiveness of strategies, proposals should develop and test approaches for long-term monitoring schemes for insects, possibly building on existing national or EU biodiversity monitoring schemes and pilots developed by Biodiversa+; devise, test and promote effective strategies to mitigate the major drivers of insects’ decline. Analyse the ecosystem functions underpinned by insects and undertake qualitative and quantitative valuation of ecosystem services emanating from those functions; explore how to implem Programme areas: Horizon Europe (HORIZON), Global Challenges and European Industrial Competitiveness, Food, Bioeconomy Natural Resources, Agriculture and Environment, Biodiversity and Natural Resources Keywords: Biodiversity conservation, Biodiversity, conservation biology, conservation genetics, Conservation biology, ecology, genetics, Environmental Conservation, Environmental protection, Environmental stressors, Environmental toxicology at the population and ecosystems level, Habitat Systems, Habitat and species restoration and rehabilitation, Natural resources and environmental economics, Nature conservation, Protection of environment (before, during and after), Species interactions (e.g. food-webs, symbiosis, parasitism, mutualism, bio-invasion), Insects, biodiversity, climate change, conservation, decline, ecology, ecosystem, habitat, pollinator, species

Pushing the frontier of knowledge and conservation action for deep sea ecosystems is sponsored by European Commission — Horizon Europe. Expected Outcome: Project results are expected to contribute to all of the following expected outcomes: Member States and Associated Countries contribute to the implementation of area-based management tools, such as protection targets and adaptive management approaches for deep-sea regions under the Treaty on Biodiversity Beyond National Jurisdiction (BBNJ) and the Kunming-Montreal Global Biodiversity Framework (GBF), for Regional fisheries Management Organisations (RFMOs) and for transitions areas with the EU exclusive economic zone notably by identifying Ecologically and biologically significant marine areas (EBSAS), and informing the next Global Assessment of Biodiversity and Ecosystem Services; Public Authorities prioritise deep sea areas for inclusion in their 30% protection target while enhancing maritime spatial planning achieved through science-based information, habitat mapping and ecosystem-based approach, aligned with the EU strategies for biodiversity and climate adaptation by 2030. Scope: The deep sea represents 90% of the Ocean volume and remains the least explored biome of the planet. Nevertheless, we know that the deep sea forms an extensive and complex ensemble of ecosystems which functioning is crucial to the rest of the biosphere, global biogeochemical cycles and ecosystems upon which much terrestrial life, including human civilisation, depends. The critical limiting factors in the definition and implementation of protection and restoration measures are the lack of biodiversity knowledge and appropriate monitoring, especially in layers below 1000 m. The main reasons are the limited access and high cost of explorations of the diversity of biotopes in the deep sea, and the resources available to identify organisms across the full range of sizes (from microorganisms to megafauna) and describe ecosystems functioning. In line with the objectives and targets of the EU biodiversity strategy for 2030, the EU Nature Restoration Regulation, the Marine Strategy Framework Directive, the EU climate adaptation strategy, the strategy for European life sciences, the European Ocean Pact, the Treaty on Biodiversity Beyond National Jurisdiction (BBNJ) and the Kunming-Montreal Global Biodiversity Framework (GBF), proposals should: fill the gaps in geographical coverage in habitats mapping, species inventory, genetic diversity, ecological functioning, food webs and ecological connectivity (including migratory species) of deep sea ecosystems in the bathypelagic and abyssopelagic zones (abyssal seafloor, hydrothermal sites, seamounts, canyons and across the water column) between them and with shallower ocean zones (mesopelagic, epipelagic, coastal...); develop, integrate and deploy imaging, acoustic, multi-omics, genomics and taxonomic technologies and methodologies for the inventory and fast identification of deep-sea marine species from microbes, invertebrates to migratory species, apex predators such as sharks and mammals, corals and other habitat-forming species, generating reference datasets from identified voucher specimens and novel methods to improve biodiversity monitoring and inventory and the discovery of novel biological traits, enhancing understanding of ecosystem resilience to climate and anthropogenic pressures; contribute to the Global Taxonomy Initiative of the Convention on Biological Diversity (CBD) and to free and open access to the Global Biodiversity Information Facility’s biodiversity data; establish baselines, spatial and temporal dynamics, assess and predict the cumulated impacts from climate change and other anthropogenic stressors including underwater noise, on ecosystems functioning and services, including the biological carbon pump fisheries stock; describe holistic interactions between the deep sea, Ocean and planetary health and propose actionable knowledge by involving multiple stakeholders for identifying adaptive management approaches, and mitigation and conservation scenarios for prioritised deep Programme areas: Horizon Europe (HORIZON), Global Challenges and European Industrial Competitiveness, Food, Bioeconomy Natural Resources, Agriculture and Environment, Seas, Oceans and Inland Waters Keywords: Biochemistry and molecular biology, Biodiversity conservation, Biophysics, Deep-sea ecosystems, Earth and related environmental sciences, Ecology, Genetics and heredity, Marine biology, BBNJ, Deep sea, EBSAS, Ecological functioning, Ecosystem-based approach, Habitats mapping, High-Seas, Kunming Montreal Global Biodiversity Framework, Species inventories

AI-ENGAGE is an international collaboration between the U.S. National Science Foundation and Quad partner agencies in Australia, India, and Japan to harness artificial intelligence to empower farmers and strengthen agricultural resilience across the United States and the Indo-Pacific. The first cohort funded six projects with over $6 million total, including autonomous disease-detection robots for orchards, smartphone-based pest and disease identification apps, computer vision for crop yield estimation, genomic selection models for crop resilience, and image-based phenotyping for breeding.