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GLOBOLAKES Global Observatory of Lake Responses to Environmental Change

GLOBOLAKES Global Observatory of Lake Responses to Environmental Change. Andrew Tyler 1 & Peter Hunter 2 Biological and Environmental Sciences, University of Stirling Group on Earth Observation (GEO) Webinar 26 April 2013. 1 a.n.tyler@stir.ac.uk 2 p.d.hunter@stir.ac.uk.

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GLOBOLAKES Global Observatory of Lake Responses to Environmental Change

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  1. GLOBOLAKESGlobal Observatory of Lake Responses to Environmental Change Andrew Tyler1 & Peter Hunter2 Biological and Environmental Sciences, University of Stirling Group on Earth Observation (GEO) Webinar 26 April 2013 1 a.n.tyler@stir.ac.uk 2 p.d.hunter@stir.ac.uk

  2. Research Rationale • Aims and Objectives • Data Acquisition • Lake Selection • Coherence in Lake Response • Summary

  3. The Consortium Andrew Tyler,Peter Hunter, Evangelos Spyrakos: University of Stirling, UK Steve Groom,Victor Vicente-Martinez, Gavin Tilstone, Giorgio Dall’Olmo: Plymouth Marine Laboratory, UK Christopher Merchant, Stuart MacCallum: University of Edinburgh/University of Reading, UK Mark Cutler, John Rowan, Terry Dawson, Eirini Politi: University of Dundee, UK Stephen Maberly, Laurence Carvalho, Stephen Thackery, Alex Elliott: Centre for Ecology & Hydrology, UK Claire Miller, Marion Scott: University of Glasgow, UK

  4. Rationale • >300 million lakes globally • Providing essential ecosystem goods & services • Fundamental to global food security • Global concerns over future water security (Unsustainable use; MEA 2005) • Important in global biogeochemicalcycling (Bastviken et al. 2011, Science)

  5. Geographic distribution of the world’s 200 largest lakes. Data courtesy of ESA-funded ARCLakes project (PI Christopher Merchant, University of Edinburgh)

  6. Rationale • Lakes are ‘sentinels’ of environmental change • These can trigger internal interactions & direct responses leading to: • loss of habitat • eutrophication • fish kills • loss of species (highest proportion of species threatened with extinction; MEA 2005) • altered communities & shifts to less desirable species

  7. Rationale SeaWifs: 1997-2010 Timeliness: • Increasing robustness of algorithms and ensemble approaches • Capability for processing huge data volumes in near real time • MERIS: spectral and temporal resolution (until April 2012) • GMES: ESA planned launches – superior capabilities (2014) Opportunity: Access to nearly 20 years of data on 1000 lakes of different types across the globe will give a paradigm shift in our ability to ask fundamental ecological questions in relation to the status and change in the condition of the world’s lakes MERIS: 2002-2012 Sentinel: 2 2014 Sentinel: 3 2014

  8. Questions What controls the differential sensitivity of lakes to environmental perturbation? Some pressing questions: • What is the present state & evidence for long-term change for the 1000 lakes? • To what extent are patterns temporally coherent & what are the causes? • Is there evidence for phenological change & what are the causes? • What factors control cyanobacterial blooms? • What factors control the concentration of coloured DOC? • How sensitive are different lake types to varying environmental perturbation? • Can we forecast the future response of phytoplankton composition & abundance, & risk of cyanobacterial blooms, for lakes in different landscapes?

  9. Aims and Objectives Derwent Water Investigate the state of lakes & their response to environmental change drivers: • Near real time processing satellite based observatory • Processing archived data for up to 20-year time series • Including: (i) LSWT; (ii) TSM; (iii) CDOM; (iv) Chl a; (v) PC • Detect spatial & temporal trends & attribute causes of change for 1000 lakes worldwide (1/3 of inland water, 2/3 of all inland water > 1km2) • Forecast lake sensitivity to environmental change • Apply findings into lake management Lake Balaton Ice Cover

  10. Project structure

  11. WP1 and WP2 • Selection and operationalization of algorithms for retrieval of lake biogeochemical properties • Initially MERIS archive, but later Sentinel-3 OLCI • Extension of global lake surface water algorithms (from ArcLakes) to smaller lakes (ATSR & SLSTR) • In situ data from research cruises, long-term monitoring programmes and instrumented buoys

  12. Study lakes Level 1 Case study lakes (~15) Intensive field campaigns to test algorithms In situ optics and biogeochemical validation data UK lakes plus selected international lakes with good data availability (IOPs, AOPs, in situ data for MERIS match-ups) study lakes Refining Testing WP1: Algorithm validation Level 2 International lakes (~50) Validation of most promising algorithms using partner data sets from contrasting lakes In situ biogeochemical validation data: UK; Estonia; Hungary, Italy; Spain USA; Canada; Australia; South Africa, Kenya, High temporal resolution buoy data UKLEON – NERC funded buoy sensor network GLEON – NSF funded international buoy sensor network Validation WP2: Operational processing Level 3 Global lake population (~1000) Operationalization of selected algorithms Level-2/-3 products delivered to end-users Time-series biogeochemical data provided to project partners and end-users GloboLakes data Partner data

  13. Atmospheric correction Additional credits: Stephanie Palmer, Jose Antonio Dominguez, Brockmann Consult

  14. Chlorophyll algorithms Chla mg m-3 Additional credits: Stephanie Palmer, Astrium

  15. LIMNADES • Lake bIo-optica​l MeasuremeN​tsAnd matchup Data for rEmoteSensing (LIMNADES) • LIMNADES provides a repository for: • inherent and apparent optical properties for algorithm development • in situ water constituents measurements for algorithms validation • Vision is to provide long-term archive running beyond lifetime of GloboLakes • Find out more: www.globolakes.ac.uk/limnades

  16. LIMNADES Partners Quality control Privately shared Publicly shared Related projects Other contributors/users Uncertainties DATA ACCESS & POLICY: http://www.globolakes.ac.uk/limnades/data_access_policy.html

  17. LIMNADES GloboLakes partner lakes Other data contributed to LIMNADES (Apr 2013)

  18. WP3: Lake selection Lake Landscape Context (after e.g., Sorranoet al. 2009) • Incorporate a wide range of catchment-to-lake-surface-area ratios • Span a wide range of water quality parameters and ecological characteristics, e.g. pH, alkalinity, eutrophication status and mixing regime • Include lakes of special scientific interest • Ideally a pool from which lakes selected using a randomised, probability-based approach (Stevens 1994).

  19. Global lake population Currently 1,811 under consideration

  20. WP3: Drivers of change • Spatial database of drivers of catchment change, including: • climate • land cover • catchment morphology • productivity • development • lake hydromorphology etc. • Trends in catchment change derived from global datasets (30 years of change) • Run-off modelled for each catchment using a lumped GIS-based model

  21. WP3: Catchment data Annual mean temperature Road network Soil type River network & Dams Annual mean precipitation NDVI Climatic ecoregions Land cover Elevation

  22. Case Study: ARC-Lake data LSWT Time Series (257 standardized LSWT time series) Finazzi, F., Miller, Cl., Scott, M.

  23. Case Study: ARC-Lake data Clustering Result Finazzi, F., Miller, Cl., Scott, M.

  24. Case Study: ARC-Lake data Clustering Result – Global map Finazzi, F., Miller, Cl., Scott, M.

  25. Engagement Success of GloboLakes will rely on contributions from across the EO and end-user communities • More than 20 scientific partners from over 15 nations • CSIRO, Australia; CSIR, South Africa; VITO, Belgium • Environment Canada; Estonian Marine Institute; • EC Joint Research Centre; CNR-IREA, Italy; • INTA, Spain; CUNY, USA; Creighton, USA • South Florida, USA; Institute of Limnology, Nanjing… • Engagement with end-users including UK environmental regulators (EA, SEPA, NIEA) • Engagement with UK National Centre for Earth Observation (NCEO), European Environment Agency, ESA and GEO

  26. Linkages and Developments • Brockmann Associates • Lake Algal Bloom Pilot Project • KTAMOP: Ecological Status and Function of Lakes (Hungarian Academy of Sciences) • HICO (Hypespectral Imager of the Coastal Ocean) • Validation team for ESA Sentinel 3 • INFORM: Improved monitoring and forecasting of ecological status of European Inland waters by combining Future earth ObseRvation data and Models (FP7 project pending): VITO, Belgium • GLaSS: Global Lakes Sentinel Services: Water Insight, Wageningen • DANCERS: DANubemacroregion: Capacity building and Excellence in River Systems (basin, delta and sea): GeoEcoMar, Romania • CYANOCOST: Training and networking for EO • NETLAKE: COST Action for in-situ sensors

  27. www.globolakes.ac.uk Thank you!

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