AnaEE. A European infrastructure for analysis and experimentation on ecosystems. Abad Chabbi, Coordinator INRA France

Transcription

1 AnaEE A European infrastructure for analysis and experimentation on ecosystems Abad Chabbi, Coordinator INRA France Impossible d'afficher l'image. Votre ordinateur manque peut-être de mémoire pour ouvrir l'image ou l'image est endommagée. Redémarrez l'ordinateur, puis ouvrez à nouveau le fichier. Si le x rouge est toujours affiché, vous devrez peut-être supprimer l'image avant de la réinsérer. Impossible d'afficher l'image. Votre ordinateur manque peut-être de mémoire pour ouvrir l'image ou l'image est endommagée. Redémarrez l'ordinateur, puis ouvrez à nouveau le fichier. Si le x rouge est toujours affiché, vous devrez peutêtre supprimer l'image avant de la réinsérer.

2 Addressing key scientific & societal challenges

3 Disturbed C,N and P cycles Soil degradation, Biodiversity loss, Extreme events Rockström et al. 2009, Nature Rising food demand Changing food habits Land and water limits, Peak phosphorus, Peak oil

4 Large disparity across sites depending on the focus of the research Project Coordinator : Deficit to experimental manipulation Dr. Abad Chabbi (INRA, with France) well experimentation design, Deficit of highly sophisticated and integrated analytical platforms

5 Current situation Research gaps Problems Research duplication Insufficient critical mass Lack of multidisciplinarity: separate processes Lack of standardization Lack of technology exchange Lack of analytical capacity Insufficient linkage of data and models Limited stakeholder involvement..

6 and lots and lots of data 9/2008 3/2010 7/ /2009 2/2011

7 What is ANAEE?

8 A world-class distributed experimental infrastructure for enabling ecosystem research A coordinated set of experimental platforms across Europe to analyse, test and forecast the response of ecosystems to environmental and land use changes. ANAEE will be the key instrument for carrying out terrestrial ecosystem research within the European Research Area. In natura experimentation Modeling platform Bench analytical platforms In vitro experimentation

9 9 Scale: Europe including full range of Europe s ecosystems and climate zones Wide range of environmental and societal implications for policymakers

10 AnaEE approach Drivers Grand Challenges Responses Preparing for change and planning for future uncertainty Distributed & Integrated infrastructures Data integration

11 Balancing Scientific Creativity with Baseline measurements Scientist s Approach to Project Science Move on to the next thing Questions Grant Hypotheses testing: what can we do? Rationale for long term observations Capabilities-based (network development) Additional organizational complexity is often layered Pro Con Scientific creativity Publications Exp Design Comfort-level for scientists and bottom-up approaches Complexity becomes openended problem Governance is often difficult, and not extensible Analyses Construction Difficult planning for Program Officers/Sponsors Data Collection Problematic for long term sustainability

12 R E Q U I R E M E N T S AnaEE Scientific / System Engineering Approach Grand Challenge Science Questions Environmental Science Questions (Hypothesis Based Questions) Identify Needed Information (What are the Data Products?) Science Requirements (Science Sub-System Requirements) Technical and Design Requirements (e.g., for Engineering, CyberInfrastructure) Raw Data Collection I N F O R M A T I O N

13 Balancing Scientific Creativity with Baseline measurements Systems Engineering Approach Questions (scientists) Formalized hierarchical requirements Asks what must be done? Measurements are considered baseline Steps are parsed out (see diagram) Publications (scientists) Grant (scientists) Pro Con New roles for scientists, both internally and externally Clearly defines scope, budget, schedule, risks Analyses (scientists) Exp Design (scientists) Complexity is inherently planned for Develops planning horizons for Program Officers/Sponsors Data Collection (Engineering Construction (Engineering, Permitting) Fosters long term sustainability Requirement approach does not necessarily impose a single unique solution

14 Integrated experimental platforms Providing the outcome! $! $ & # Understanding $ $! $!!! $ $$ " " " " "! Evaluating Observing for decision $ making e rresulting esultting impact im m the! $ v!! $ $ $ vulnerabilities ulne erabiliiities and an n risk $ $$ Assessing! $ $ $! $ Forecasting

15 Hypothesis/observation testing t ha (P value = ). Yield average progression t ha -1 year In natura experimentation YIELD 1 Brisson et al Crops yields forecasts 2 3 In vitro experimentation

16 AgMIP wheat model inter-comparison Asseng et al. (2013) e) observed a) NL b) AR 550 ppm o C +6 o C Observed relative change in yield (%) c) IN d) AU Simulated relative change in yield (%) Atmospheric CO2 concentration (ppm) Temperature change ( o C) Atmospheric CO2 concentration (ppm) Temperature change ( o C)

17 Our vision Preparing for change and planning for future uncertainty to fulfil the promise of a plentiful food supply and ecosystem sustainability in the face of a changing climate Shaping the pathways of social-ecological systems to enhance ecosystem resilience and human well being

18 Our strategic objectives Research Enable researchers to carry out excellent and breakthrough research and thus strengthen the European research area in ecosystem science. Innovation and education Building the science of people with nature Policy Relevance Be a key tool for policy planning to adapt to environmental pressures and mitigate harmful effects on ecosystem services.

19 Ecosystem services dynamics Management options for ecosystem stewardship Managed ecosystem resilience Our Services Monitoring variability and extremes (pulse and release) Crops and pastures yields forecasts Water supply by managed ecosystems Diversity loss

20 Our measures Ecosystem resilience Biodiversity and ecosystem functioning Ecosystems services Biodiversity acclimatation and adaptation Agroecology engineering and bioeconomy Diseases and climate change

21 AnaEE Working Structure Portal In-Natura Centre/ Hub In-Vitro Centre/ Hub Data & Modelling Centre/Hub HQ Analytical Platform Centre/ Hub Distributed AnaEE Sites

22 09/10/13 22 How we are building AnaEE

23 The agenda to build AnaEE Design study ESFRI Roadmap 2010 Preparatory phase Construction phase Implementation phase 2018 onwards

24 Current partners from 10 European countries French National Institute for Agricultural Research (INRA), France Biotechnology and Biological Sciences Research Council (BBSRC), UK Norwegian Institute for Agricultural and Environmental Research (Bioforsk), Norway National Centre for Scientific Research (CNRS), France Technical University of Denmark (DTU), Denmark Istanbul Technical University (ITU), Turkey Fondazione Edmund Mach (FEM), Italy Global Change Research Centre, Czech Academy Of Science (CVGZ), Czech Republic University of Antwerp (UA), Belgium University of Helsinki (UHel), Finland Umea University (UU), Sweden Rothamsted Research (RRes), UK INRA Transfert (IT), France

25 AnaEE work plan

26 AnaEE a means of leveraging National funding ANAEE UK 6 M ANAEE- S France 14 M ANAEE Belgium 14 M Contributing to the construction phase

27 ANAEE: Links to other Ris

28 Links to ICOS and Lifewatch

29 Links with global networks ANAEE NEON China Brazil PAERIP TERN

30 Summary AnaEE as a game-changer : big opportunities and big responsibilities Legacy and Culture: Collaboration/multidciplinary approach from the International Vision: Strategically sampling across Europe Strategically sampling environmental and ecosystem change. Changes need to be understood and projected

31 31 Cohesion: AnaEE one-stop-shop for emergiencies = the hot=line The red phone! Rapid responses, we need to find sites/ infrastructure to provide answers to particular questions

32 32 Scaling: local scale for adaptation: global scale for impact of feedbacks etc. Questions in ecosystem research matter of scales 10 6 m 10 0 m 10-1 m 10 2 m courtesy: Martin Gerzabek, BOKU, Wien 10-9 m 10-4 m Handling surprises: fire, flood, pests, diseases Insect pest outbreak damage Fire

33 33 Many thanks for your attention! Find out more Evan O'Connell Communication/Lobbying Officer +33 (0) evan.oconnell@lusignan.inra.fr