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2006 RSM CI Workshop

This workshop report covers key statistics, accuracy in CWD and tree sampling, vision for landscape assessment, continuous improvement strategies, innovative forest practices, volume calculation, ecological anchors, and proposals for data changes. It also addresses the importance of ecological indicators, structural attributes for biodiversity, and time management in forest assessments.

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2006 RSM CI Workshop

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  1. 2006 RSM CI Workshop Laurel Point Inn Feb 28 March 1

  2. The answer is ….. 53

  3. Trivia • 5% of all reserves were floaters • 37% were internal (58% on the edge) • 20% of blocks had Vets – of those ~ 32 Vets per block • 69% of patches <2ha (31% bigger)

  4. Overall 19% retained but……

  5. CWD Sampling Accuracy • McCrae et al; (1979) (from Van Wagner – Practical Aspects of the Line Intersect Method) recommended 90 m. CWD line transect per 20 ha. (4.5m/ha.) From 2005 sampling: 21,840 m/6,916 ha gross area ~ 3.2 m/ha

  6. Tree Sampling Accuracy • MOFR cruise manual – 15% sampling error, or … 1 plot per ha 2SE ________ mean

  7. Estimating within plots • precision and accuracy of estimating heights and diameters? • Review of Q/A data – comparison of measured to estimated heights

  8. Vision • enough cutblocks sampled in a landscape unit • baseline data for each subzone variant in the LU • landscape level biodiversity assessment complete • Representation, interior habitat, road density… • ..celebrate • species work

  9. Continuous Improvement • Why does the assessment ask for a Professional Opinion? • Indicators used are surrogates. • Compared to Baselines. • Humans are great integrators and ecological systems are varied. • Ultimately your opinion is a check against how the model scores the cutblock.

  10. Continuous Improvement • Should we have the assessor answer a series of questions? • Does the retention represent the pre harvest stand? • Yes No If no what is different? • Does the retention capture rare elements? • Yes No If no what elements are missing? • Has the retention been distributed through the cutblock in a way that will benefit wildlife? • Yes No explain?

  11. Continuous Improvement

  12. Continuous Improvement • What are Innovative Forest Practices? • Innovation – Something newly introduced, a new method, device.

  13. Continuous Improvement • Has the licensee used a practice not normally seen in the district that may be beneficial to biodiversity? Yes No If yes describe…. • Could create a list… but • Is stubbing innovative? Used quite widely in areas of the interior… but might be an innovation on the coast. • Fungal inoculation… Innovation… Yes… but unless you have the prescription or the block has a sign up will be difficult to know. • Cavity creation…. Has been tried but not implemented widely… would fit the innovative practice.

  14. Continuous Improvement • Volume Calculation – • Evaluation – focused on structural attributes that we believe are reasonable indicators of “Biodiversity” • Premise – If you maintain the range of structural attributes you will lifeboat species through the next rotation. • Emphasis not on volume but quality of structures… legacies… number of large tall dead trees etc.

  15. Continuous Improvement

  16. Ecological anchors • What are they? • Plot based assessment of rare elements (you don’t find them) • statistically viable way to assess rare elements (i.e. cluster sampling)

  17. Time on block versus accuracy • Dispersed retention and importance of stratification . • Small patches - how many 0.1 ha patches do we need to sample anyway? • Should we keep track of time and manpower spent on block?

  18. Proposal for card changes

  19. SLBD dataContinuous Improvement • Map with plot numbers noted • Patches on map – no form B • Edge patch on map – not in gross

  20. Reserve summary covers complete block • Separate reserve summaries – no lumping

  21. Unique (simple) reserve ID for each area • Commercial thinning – DT • No more DU (DO will do) • If any RRZ/RMZ call it PR or DR

  22. Missing heights (but only 4%) • Creative tree species (not too bad) • Missing header info (where does this plot belong?)

  23. Please list trees on stand table (rather than comments) • Try to avoid the multi-card stand tables

  24. Check your logic – a WT class 1, 50 cm dbh pine – 5 metres tall? • There was one mirage plot! (OK – no more)

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