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#Climate-3

Protecting biodiversity and promoting ecosystem services

Note: more generally, this goal also contributes to work in the #3Perf priority.

  • Studying biodiversity dynamics in the light of climate change
  • The effects on conservation and on the dynamic management of genetic resources
  • Plant and animal breeding in favour of adaptation to drought conditions, heat stress and atmospheric change (CO2, ozone); controlling greenhouse gas emissions from livestock production (enteric methane, excreted nitrogen) and crops (carbon stabilisation, root symbioses)
  • Adaptive management of biodiversity: ability to evolve across various levels of organisation (intra- and interspecies) and spatial scales (ecological networks)
  • Studying resistance to pests and diseases under climate change conditions and health risks
  • Studying the incremental impact of climate change on services to develop adaptive management strategies

Studying biodiversity dynamics requires characterizing and managing the genetic resources of microbes ( MICA  division and MEM  metaprogramme), plants ( BAP  and EFPA  divisions) and animals ( GA division). The SELGEN metaprogramme is carrying out research that aims to better incorporate original genetic resources into breeding programmes. The EA  and PHASE  divisions are studying how crop and livestock farming practices influence planned and associated biodiversity within agroecosystems. The health implications of disease resistance durability are being examined in plants ( SPE  division and SMaCH  metaprogramme) and animals ( SA  division and GISA  metaprogramme). The ACCAF  metaprogramme is focusing on how biodiversity can increase resilience to climate change. The EcoServ  metaprogramme is looking at the relationship between biodiversity and ecosystem services, with a particular emphasis on the spatial organization of biodiversity. The SAD  division is looking at the role played by stakeholders in this type of organization and in the management of bundles of services. The SAE2  division is developing methods for evaluating the sustainability of agroecosystems. All the above research requires data science and model optimization, which make up the core work of the MIA  division.

Keywords: CLIMATE-3