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TERN Surveillance Training 2019 - Day 1, Session 1

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2019 TERN Surveillance Training course
Session 1

Publié dans : Environnement
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TERN Surveillance Training 2019 - Day 1, Session 1

  1. 1. Mobile Phone Coverage • Please don't let this interrupt the training • Please set your phone to silent
  2. 2. The facilities Please advise us when you are going anywhere – We have a duty of care so need to know where everyone is. The facilities here at the McCormick Centre and at Calperum.
  3. 3. The Training Team • Ben Sparrow – TERN Surveillance Lead – P, Soils • Sally O’Neill – TERN Surveillance Operations Manager - P • Caleb Coish – TERN Surveillance Business Manager - Logistics • Andrew Tokmakoff – TERN Surveillance Technical Lead – P, Tech • Christina Macdonald – TERN Surveillance Data Manager – P, T • Emrys Leitch – TERN Surveillance Field Team Lead – P, Veg • Michael Starkey – TERN Surveillance Vegetation Assistant - V • Luke Ragless – TERN Surveillance Field Assistant - T • Nikki Francis – TERN Surveillance Field Assistant – P,S
  4. 4. The Training Team • Greg Guerin – TERN Surveillance R&D Lead • Sam Munroe – TERN Surveillance R&D - P • Nick Gellie – TERN Surveillance R&D affiliated - S • David Summers – TERN Surveillance R&D affiliated - P • Katie Irvine – WOW (Wild Orchid Watch) Comms and Engagement Officer - TERN Surveillance affiliated - P • Angela Gackle – TERN Science Partnerships Manager
  5. 5. About Our Method Practicality/pragmatism has had to prevail “It’s not about developing the perfect method, but rather understanding how imperfect the method is.” We would prefer to present the formal training (days) regarding the method “as is”.... If you have any ideas or concerns we would be happy to hear/ discuss them each evening
  6. 6. Modularity of Method The method has been designed in modules Ease of use in the field For your own purposes there is the possibility of only including some modules For training purposes we will cover all modules Extra modules are likely to be developed in the future and will be covered later in the training
  7. 7. AusPlots Method Developed initially for rangelands – Now expanding to other regions. “It’s not about compatible method, but rather compatible data.” Eg. Wheelpoint v steppoint v method as used here Eg. Canon vs Nikon Let’s work together to ensure data compatibility
  8. 8. Structure of each Day From 6:30 am Breakfast 7:30 – 7:45 am Day Plan 8:00 am Leave homestead 8:30 am Arrive at field sites 10:30 am Morning tea 11:00 am Field Training 12:30 am Lunch on Site 1:15 pm Field Training 3:00 pm Arvo tea 3:30 pm Field Training 5:00 pm Return to Homestead then free time 6:30pm Dinner 8:00 pm + Free time/ informal discussions on method
  9. 9. Surveillance Training Overview Today – 5 Theory Sessions 1st session - Context 2nd session - Stratification, Data uses, Manual, Permissions 3rd session - Plot layout, Site info, Point Intercept, Basal Wedge, Structural summary 4th Session - Vouchering, Fauna, Photo points 5th Session - Soils, LAI, Slats, The App Two Methods of learning: Two sides to the one coin Learning about the same method, but learning in different ways – Both ways present issues/ consideration that are not covered by the other way. Then Learning from other attendees – We learn from you etc.
  10. 10. Surveillance Field Training Session 1 29th April – 3rd May, 2019 – Calperum Station SA Riverland Ben Sparrow Associate Professor and TERN Surveillance Program Lead ben.sparrow@adelaide.edu.au : 08 8313 1201
  11. 11. Setting the Scene: A series of short presentations to provide context Research infrastructure TERN Overview/Aims New Structure Roles of the programs The role of TERN Surveillance International equivalents The Ausplots Manual Historical Surveillance
  12. 12. Some important context and a vision for TERN Surveillance Australia’s roadmap for research infrastructure
  13. 13. Create research infrastructure. Does not fund research Collect once use many times Enables science at a scale that was previously very difficult to achieve Easily available infrastructure and data Innovation in scope and valued hence R&D
  14. 14. A career in Environmental infrastructure should be valued. Some Universities now introducing a “Research Infrastructure Academic” Stream. International engagement – Fit into a global community International Leadership Valued - TERN
  15. 15. Increase collaboration nationally and internationally Encourage partnerships Research and Land Managers both users – Government identified as a large stakeholder Regularly refers to improving environmental management and informing decision making.
  16. 16. Environmental prediction Create once – use many times (Free) meritorious access Enable analyses not possible before Industry engagement a priority
  17. 17. TERN’s restructure • In Late 2017 / 2018 TERN restructured to more closely align its activities with the roadmap. ETC.
  18. 18. International Partners TERN is supported by the Australian Government through the National Collaborative Research Infrastructure Strategy and the Super Science Initiative Is Collaborative!
  19. 19. Change Where? When? What? How Much? Why?
  20. 20. TERN Landscapes • Earth observation data using satellite and airborne imagery • Soils Modelling • Land cover and vegetation composition • Fire Dynamics • Climate data Normalised Difference Vegetation Index Fire Frequency Day/Night Temperature Calibration • Airborne hyperspectral and LiDAR LiDAR survey aircraft
  21. 21. TERN Ecosystem Processes • Network of long term research stations where ecological and biophysical information is collected in great detail.
  22. 22. TERN Data Discovery • Ecosystem Processes – data.ozflux.org.au – supersites.tern.org.au • Ecosystem Surveillance – ausplots.org – ausplotsR • Ecosystem Landscape – auscover. org
  23. 23. TERN Ecosystem Surveillance • Diverse network of plot-based field surveys Ecosystem Surveillance Plot Sites
  24. 24. ATN and Ausplots become Surveillance A working group created in the second half of 2017 to plan Surveillance for Q1 2018-Q2 2019 Created a business plan. Created a seamless capability
  25. 25. So what was the plan? Collect 100- 150 plots (New or revisits) 152 Last year + 20 This year + Refine Sampling methods Team taken extensive notes on manual updates – Now funded as part of capital upgrade. Training 28th April – 4th May – Come along Sample Curation and access Ongoing Appropriate Stratification and Gap analysis Greg will update tomorrow – Starting to influence where our sites are located. Supporting studies that will lead to program improvement See R&D strategy shortly TERN Integration Now many integrative products and projects underway and in development with other parts of TERN
  26. 26. Program enhancement through co-investment Uni and SA Govt Likely – Ad hoc collaborations with various landholders Synthesis Workshop You’re at it! Raise awareness of efficiencies and opportunities provided by using our data and samples. Ongoing – But could do a better job…… Can you help?? Encourage X-disciplinary applications Ongoing Integration of DERG sites Ongoing – Ausplot revisits Investigate e-DNA for fauna sampling Providing some support to an independently funded UofA investigation. Develop UAV data collection protocols with Landscapes Have had a workshop – Some delays with Landscapes sub-contracting delays – ongoing
  27. 27. Ground-dwelling invertebrate sampling trials Alan staying Thursday to work with Sally on Protocols – Trial at Training Centralisation of data collection and science advice. Routinely occurs. Centralisation of Data – Integrate with data services capability Our mature data collection methods, and management systems are making this task easy. Our data used in educational examples at all of TERN scale. Industry Engagement Engage with Environmental NGO’s, state government, Mining companies etc where appropriate – Looking more strategically long term. International Engagement Engage with a variety of international users, and contribute to international initiatives and equivalent organisations worldwide.
  28. 28. What does our business look like now • I think we’re now entirely established in our “Core Business” • Recent Capital Upgrade will enable us to replace and upgrade much of the equipment to a level where it is efficient and able to cope with the volume of our data and samples.
  29. 29. Routinely collecting new & Revisit plots Managing and curating data Curating and cataloguing samples Making that data and samples freely and widely available Creating tooling that facilitates greater uptake/use.
  30. 30. • originally conceived to build upon collaboration between the UTas and ABARES • collated and analysed a large number of existing State based Permanent Forestry Plots. • The original concept was for Ausplots-Forests to remeasure a subset of this existing plot network
  31. 31. • the scope and the design of Forests program has been flexible. • not limited to remeasuring the existing permanent plot infrastructure. • establish a plot-based monitoring network that improves understanding of tree growth, forest productivity and carbon dynamics research and, • and build upon existing plot networks where possible.
  32. 32. However • beyond scope of Forests to provide a comprehensive forest monitoring framework (i.e. Continental Forest Monitoring Framework). • TERN and Forests was not established to answer specific research questions provide flexible baseline infrastructure • vision for AusPlots-Forests is to incorporate aspects of both ‘surveillance’ and ‘question driven monitoring’. • Does not collect biodiversity information at this stage.
  33. 33. • They extend the macro-climatic gradients and bioregions across the continent. • Plot data show that growth trends related to trends in mean annual temperature, rainfall seasonality and mean annual rainfall. • TEF are fire-driven ecosystems and plots in these systems provides an opportunity for post-fire response studies, • TEF an important component of forest carbon store and contain some of the most carbon dense stands.
  34. 34. • TEF are valued as water catchments, flora & conservation, recreation and timber and fibre production. • TEF are the focus of many forest research initiatives (i.e. Warra Supersite, Forest Check).
  35. 35. Three design scenarios within the TEF considered: 1. Grid-based design e.g CFMF and FPMRIS 2. Stratified clusters of new or existing plots: many small plots. 3. Clusters of few (n=50), large (1.0ha) plots across Tall Open Eucalypt Forest Estate No 3 is preferred -based upon the RAINFOR forest plot network
  36. 36. • Allocate 8-10 plots to each state • Target locations that are relatively undisturbed by timber harvesting (‘BOO’ sites) • Target either (a) mature forests only (>60 year since fire) • Co-locate with well curated existing permanent growth plots or ongoing research sites • Target sites long-term plot security. e.g. reserves
  37. 37. • Species, status , location and DBH of all trees >10cm DBH (all tagged). These trees must be tagged. • Species, status and DBH of seedlings and saplings • Floristics and voucher specimens • Crown cover • Coarse woody debris transects • Soil sampling
  38. 38. AusPlots Rangelands
  39. 39. Objectives of AusPlots-Rangelands National network of surveillance and ecosystem baseline assessment sites INFRASTRUCTURE Developing standardized plot assessment methods to be used for measuring and sampling vegetation and soils, and Developing and implementing a stratification process to decide the locations of plots, which is applicable at a continental scale, and Establish permanent plots (approximately 750) throughout the Australian range-land bioregions where baseline surveys of vegetation and soils will be conducted by Implementing the plot assessment methods developed for measuring and sampling vegetation and soils - in the locations decided, and - analyzing the samples collected, and Storing the data and making it freely available
  40. 40. 81% of Australia Wide variety of environments Wide climatic variation Generally Data poor / gaps
  41. 41. Hutchinson et. al., 2005
  42. 42. Political Complexity (= running total) Jurisdictions 5 Many Universities 4(9) Departments per Jurisdiction 2(18) Sections per Department 2 (36) People per Section need to be involved 3(108) AusPlots–R Protocols and Standards Reference Group 15(123) Partnerships and Operations Ref Gp 13(136) + Auscover and TERN Soils 2x3(142) + Conservation based NGOs 20(162) + ESA 30(192) + National committees 4x10(232) Federal departments 2x2x4 (248) + Short Timeline That’s a heap of people to keep happy in a really short Time
  43. 43. How is it achieved? Extensive Networking / Collaboration / input to the process Engage with Agricultural, Environmental, Forestry communities as well as NGO’s – Input from all Rangeland States and Territories SA SA National NationalNational Collaborator TAS QLD NSW NSW NSWNTWA WA NSW National TERN TERN TERN TERN QLD
  44. 44. Field team • Based in Adelaide • Provides consistency • Best way to use scarce resources – Would prefer to have state based teams in the future if funding allowed. • Well equipped • Can train others • Work in conjunction with state agencies where possible.
  45. 45. Australian Transect Network
  46. 46. Contribution to TERN Creation of 4 Major Transects (Trend, SWATT, NATT and BATTS) Sampling gradients (Climatic) Facilitated coordination of transect Citizen Science and social science component to TREND Data delivered by Aekos Significant research contribution looking a the concept of space as a proxy for time. Australian Transect Network Spinifex Hummock Grassland Tropical Savanna Acacia Shrubland Eucalypt Forest Eucalypt Open Woodland Subtropical forest
  47. 47. Transects Standardisation of a suite of common measures Continued strategic sampling Continued collaboration Workshops to investigate analysis options Streamlined data delivery and curation Continuing research investigating these climatic gradients Guerin et al Biol Lett 2013 Guerin & Lowe Biol Lett 2013
  48. 48. International collaboration Photopoints – US FAO – Rome – Global Drylands Project SAEON – South Africa Korean Version AusPlots Trial on the Tibetan plateau Interactions with similar programs in the EU - ICOS Representation on ILTER
  49. 49. The AusPlots Methods Manual An Introduction
  50. 50. .
  51. 51. Including: a) Plot description. b) Soil characterisation to 1 m+ c) Soil observation d) Soil bulk density e) Soil samples
  52. 52. Future Updates • Significant content update/ refresh throughout • Addition of: – Fauna Survey Protocols – Birds Survey Protocols (from Birdlife Australia) – Woodlands Module – Condition Assessment Protocols – Ant and/or invertebrate survey Protocols – Fungi Survey Protocols • Inclusion of the Forest manual
  53. 53. Stratification Telling an Australian Ecological Story Ben Sparrow
  54. 54. Stratification “Telling the Australian Story”
  55. 55. Decision Framework
  56. 56. Decision Framework
  57. 57. Rangelands Forests
  58. 58. • Climate •Vegetation mapping •Landform •Bioregions •Good national spatial coverage •Data deficient areas •Location of other TERN sites / Environments covered/ Collaboration •Ibra sub regions •Distance from water •Land systems •Regional Ecosystems •Land Units Pragmatic decision making on: Historical Information Scientific/ Environmental Information Logistical Information Political Information
  59. 59. Pragmatic decision making on: Previous monitoring sites • Types of information previously collected • Location of site • Ability to accurately relocate •Management history •Quality/ compatibility of previously collected data. •Location of biological survey sites •Land Use •Aim of previous monitoring Historical Information Scientific/ Environmental Information Logistical Information Political Information
  60. 60. Pragmatic decision making on: •Ability to get to the site •Financial limitations •Ease of access to bioregion •Ease of access to suitable sites •Road and Track layers •Terrain layers Historical Information Scientific/ Environmental Information Logistical Information Political Information
  61. 61. Pragmatic decision making on: •State priorities •Site ownership •Tenure •Location within NRS • Covenants •Federal Government Priorities •Future Policy Drivers •Carbon economy •Climate change •Biodiversity loss •Food security Historical Information Scientific/ Environmental Information Logistical Information Political Information
  62. 62. Stratification/ Site Selection Consists of 4 steps – Bioregional Stratification – Selecting representative bioregions to sample – Stratification of areas of sampling interest within each bioregion – Field location of plots
  63. 63. Stage 1. Determining Bioregional groupings using hierarchical clustering techniques Based on: •Climate •Regolith/Landform •Major Vegetation Groups Summarise for each bioregion Conduct PATN analysis to group similar bioregions
  64. 64. Stage 2. Decisions on which bioregions to sample In consultation with state and territory agencies Based on the decision making framework Stratification workshop held in May 2011 – representatives from each state Pick one or several Bioregions per group to sample •Developed a consensus list a few months after the workshop Pragmatic decision making on: Historical Information Logistical Information Political Information Scientific/ Environmental Information
  65. 65. Stage 3. GIS analysis within each bioregion to determine Areas of Interest Based on the best available spatial information representing each information type in our decision framework. •e.g. Vegetation Mapping or Land Units •e.g. Distance from tracks •e.g. State monitoring priorities •e.g. Previous monitoring sites Pragmatic decision making on: Historical Information Logistical Information Political Information Scientific/ Environmental Information
  66. 66. • Gather best available spatial information for each bioregion that is sampled. • Conduct GIS analysis to determine which areas are of highest priority to sample. • Interpret these areas in light of heuristic information on previous monitoring sites, local knowledge (in collaboration with states), and practical and logistical considerations, and reservation • Output is areas of interest
  67. 67. Stage 4 - Field Locations of Plots • Final selection only possible in the field. • Will be some rules to provide guidance • Homogeneity • Orientated to grid • Decision process noted • Representative • Protected • Discussed in a subsequent Presentation

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