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Monitoring and Diagnostics Update Monitoring and Diagnostics Update

Monitoring and Diagnostics Update - PowerPoint Presentation

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Monitoring and Diagnostics Update - PPT Presentation

National Forest Pest Strategy Tim Ebata Ministry of Forests and Range Victoria British Columbia Janice Hodge JCH Forest Pest Management Coldstream British Columbia Joan Westfall Entopath Management ID: 1039928

forest monitoring national pest monitoring forest pest national major ground thresholds data methodologies reporting spruce pine objectives forests aerial

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1. Monitoring and Diagnostics UpdateNational Forest Pest StrategyTim EbataMinistry of Forests and RangeVictoria, British ColumbiaJanice HodgeJCH Forest Pest ManagementColdstream, British ColumbiaJoan WestfallEntopath ManagementKamloops, British Columbia

2. Identify current monitoring activities and gaps and develop a range of monitoring regimes (including approximate costs) required to fulfill NFPS objectives. Identify compatibilities and opportunities for standardization of methodologies, thresholds, etc.Capture and store existing and historical data.Identify current diagnostic capacity. Objectives

3. Summarized nationwide monitoring activitiesPest, frequency, methodology, thresholds, lure formulations, data format and availabilitySpatial data for permanent sample sites and aerial surveysIdentified compatibilities and opportunities for standardizationNew Brunswick monitoring data submitted to IIM, BC in progressIdentified M and D objectives and developed a list of National major forest pestsDeveloped 3 Monitoring ScenariosCompleted diagnostic capacity survey Achievements to Date

4. 74 Major Forest DisturbancesCurrent Monitoring Surveys

5. Ground Monitoring Summary

6. Compatibility Example – Egg stage Compatible: Conversion possible as reporting variable (ex. predicted defoliation) or unit being reported on (ex. avg # of eggs/10m2) the same but thresholds different.  Similar; threshold numbers the same or vary slightly. Not the same thresholds and/or reporting parameter and/or reporting unit.N/AOnly P/T conducting this surveyCommon NameBCYTABSKMBONQBNBNSNLPEIBalsam fir sawfly          Douglas-fir tussock mothN/A          Eastern blackheaded budworm         Eastern hemlock looper        Eastern spruce budworm           Forest tent caterpillar          Jack pine budworm           Pale winged grey        N/A  Spruce bud moth         N/A Two-year-cycle spruce budwormN/A          Western hemlock looper N/A          Western spruce budworm           Whitemarked tussock moth        N/A  

7. BCYTABSKMBONQBNBNSNL HardwoodConiferLighta1-30<25<35 -<35<501-251-341-3010-29 -Mod 30-5026-6536-7030-6935-7051-7526-6035-6931-7030-6931-70Sev>50>65>70>70>70>75>60>70>70>70>70a Defoliation severities based on average defoliation characteristics at a polygon levelb BC categories for L and M do not include % but the authors consider these to be as noted.Data StandardizationAerial survey categories Need to review pest methodologies and thresholds (origin, rationale, etc) where they are not compatible.Meeting used to be held in conjunction with the National Forest Pest Forum to discuss best practices and opportunities for standardization. This is the “Forest Pest Technology” meeting that is held on the Monday of Forum week.

8. PathologyEntomologyTaxonomyDiagnosticsTaxonomyDiagnosticsFederal4267Provincial0201Academia0000Private/Ind0101Diagnostic capacity survey Who provides free services?89 respondents (61 Federal, 21 Provincial, 4 Academia, 3 Industry/Private) – over 600 surveys sent out. However, question was never asked if they would or could handle “buckets of bugs” from a trapping program.

9. Forest as defined by Canadian National Forest Inventory 2001 is a CANFI cell where forested land is the dominant feature. How well are we currently monitoring our 'forests'?

10. Ground and Aerial Monitoring

11. # of sites% sampled annually% with multiple pest sampling% with same pest sampled (life stages)BC25472872AB14930124SK95314MB1014212ON2538686QB251001NB675925022NS8561003516PE1401NL181701Ground Monitoring Summary*Some P/T already employing enhanced surveillance 1 Some may be assessed annually but are not considered annual plots.

12. Defined Monitoring and Diagnostic objectivesDeveloped 3 Monitoring ScenariosIdentified the need to develop a National list of major forest pestsDiscussed the need to review pest methodologies and thresholds (origin, rationale, etc).Recommend reviving the opportunity to have this discussion of best practices and opportunities for standardization during the week of the National Forest Pest Forum (FPT Meeting?)Outcome of Victoria meeting

13. To collect, record and maintain historical and current pest (native and invasive) data and associated methodologies/standards) to facilitate: spatial and temporal ecosystem-based reporting of pest status (abundance, severity, trends, damage), informing short and long-term risk responses,forest depletion estimates, quantification of impacts on trade and carbon accounting, and, identification of climate-related changes caused by pest behaviour and/or impact.To build upon national monitoring capacity and improve on diagnostic capacity. Cont’dMonitoring and Diagnostics Objectives

14. To identify/develop national best practices thru improved communication, evaluation of management decisions and harmonization / improvement of forest pest methodologies, i.e. adaptive management.Incorporation of monitoring results into the other technical advisory group activities including information for risk analysis and the national database, and identification of national research needs. Monitoring and Diagnostics Objectives

15. Good, Better, BestWhere surveys are being conducted (land status)What is being surveyed (major, minor, all) and howFrequency of surveysSampling distributionHarmonized best practicesAbility to inform Risk AnalysisCosts for each scenario – in progressMonitoring Scenarios

16.  GoodBetter BestOverview surveys (aerial or remote sensing)Partial forest (accessible ground checks)All managed forests including parks, DND, IR (aerial and/or ground checks)All forested (aerial and/or ground checks)Ground surveyRespond to P/T high priority major pests and general surveillanceAnnual/periodic monitoring points with quantitative estimates of all major and potential pests in all managed forests, including parks, DND, and IRAnnual monitoring points with quantitative estimates of all pest conditions in all forest (enhanced FIDS)Sampling designHistorical distribution of major pests50 sample points/leading tree species for managed forests including parks, DND, and IR50 + sample points/leading tree species on all forested lands and enhanced surveillance.Ecosystem based reporting Retrospective Retrospective RetrospectiveImproved communication e.g. meetings, NFIS YesYes Yes Harmonized best practices to meet NFPS objectivesNoYes Yes Ability to inform Risk AnalysisIncreases with monitoring effort

17. PestNumber of P/TEastern spruce budworm10Forest tent caterpillar10White pine (spruce) weevil9Large aspen tortrix7Armillaria root disease6Jack pine budworm6Spruce beetle6Mountain pine beetle5Balsam woolly adelgid, pine shoot beetle, Warren’ root collar weevil, western gall rust, white pine blister rust4Major Forest Pests

18. Outstanding TasksMONITORINGPrepare final report which will include:approximate budgets for each monitoring scenario;comparison of current spatial distribution of PSS’s with leading species distribution and identification of gaps;update monitoring matrix and corresponding compatibility tables i.e. lure formulations; andsummarize compatibilities or incompatibilities of major forest pests methodologies and/or thresholds.Assist with developing algorithms to convert ground plot data into a common reporting format in collaboration with IIM.Complete BC pest monitoring database and deliver to IIM.cont’d

19. Outstanding TasksDIAGNOSTICSCompile a database which identifies facilities which: Provide a free service,Provide a diagnostic and/or taxonomic service;Have Pathology and/or Entomology expertise; andWill provide natural history and management information.

20. Many thanks to all participants whom contributed to this process.Acknowledgements