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An Economic Analysis of the Impact of Sirex on the South African Forestry and Forest Products Industry Summary. Roger Godsmark : Forestry South Africa June 2007. Presentation Outline. Background Data Used Methodology Assumptions Scenarios Preliminary Results Areas involved
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An Economic Analysis of the Impact of Sirex on the South African Forestry and Forest Products IndustrySummary Roger Godsmark : Forestry South Africa June 2007
Presentation Outline • Background • Data Used • Methodology • Assumptions • Scenarios • Preliminary Results • Areas involved • Potential impact on growers • Potential impact on Processors • Conclusion
Section 1 Background
Data Used 1 Areas (based on Forestry Zones) • Planted areas per product :FES 2005/06 • Age class distribution per product :FES 2005/06 • Sirex affected area :Sirex Co-ordinator Roundwood Volume (based on Forestry Zones) • Rotation ages per product :FES 2005/06 • MAI’s :FSA Roundwood Prices (based on Forestry Zones) • Sawlogs (at roadside):LP Index, Crickmay – March 2007 • Pulpwood (delivered mill): NCT – June 2007 • Poles (at roadside):SAWPA - June 2007
Data Used 2 Volume of Processed Product (recovery rates) • Sawlogs 47% :Crickmay & Associates • Pulpwood 33% :FSA, Industry • Poles 95% : SAWPA Product Prices (current) • Sawn timber :LPI,Crickmay & Assocs • Pulp :FSA, Industry • Poles : SAWPA Inoculation & Thinning Costs (current) • Sirex infection rates : Sirex Co-ordinator • Inoculation costs : Sirex Co-ordinator • Thinning costs :FSA, Industry
Basic Premises Upon Which Analysis Made First Premise The loss of any volume NOW through Sirex damage or thinnings will result in a foregone loss in volume in the future. Second Premise This loss in volume will result in a foregone loss in income in the future to both the Forestry Industry AND the Forest Products Industry
Methodology - Sirex Damage Determination of Foregone Volume and its Value Area affected / at risk (ha) Age classes Infection level (%) Equivalent area lost (ha) x MAI x Rot Age = m3/ha Future volume lost (m3) x roundwood prices x recovery rates Future product volume lost (m3) x processed product prices Future income foregone
Methodology - Thinnings Determination of Foregone Volume and its Value Age classes Area affected / at risk (ha) Thinning regime used 5%, 10% & 15% Equivalent area lost (ha) x MAI x Rot Age = m3/ha Future volume lost (m3) x roundwood prices x recovery rates Future product volume lost (m3) x processed product prices Future income foregone
Methodology - Thinnings Determination of Cost of Operations Age classes Area affected / at risk (ha) Thinning regime used 5%, 10% & 15% Area thinned (ha) x cost per hectare Total operational cost
Methodology - Inoculations Determination of Cost of Operations Age classes Area affected / at risk (ha) Infection level (%) 1-3% (33% inoculated) 3%+ (20% inoculated) Area inoculated (ha) x cost per hectare Total inoculation cost
Assumptions Made in Analysis 1 Areas at Risk • Sawlog stands: 15 yrs and older • Pulpwood stands : 10 yrs and older • Other stands: 13 yrs and older Areas Affected • W, S & E Cape (sawlogs/poles) : 50% of area at risk • W, S & E Cape (pulpwood) : 100% of area at risk • S KZN & KZN Midlands (all crops) : 100% of area at risk Infection Rates • W & S Cape (all crops) : 0.1% • E Cape, S KZN & KZN Mid (sawlogs) : 0.5% • E Cape, S KZN & KZN Mid (pulpwood) : 5.0%
Assumptions Made in Analysis 2 Thinnings • Only pulpwood stands thinned (5%, 10% & 15% volume) • Eventual loss in volume 80% (i.e. 4%, 8% & 12% loss) • Thinnings occur between 4 & 7 years – all to waste • Cost based on R30 per m3 Recovery Rates • Sawlogs to sawn timber : 47% • Pulpwood to pulp : 33% • Poles to treated poles : 95% Inoculations • Cost per hectare (from Mondi Shanduka & Sappi) R1 100 • Infection levels of 1-3% - 33% of area inoculated • Infections levels of over 3% - 20% of area inoculated
Area Demarcation & Characteristics 1 1. Forestry Areas Divided into 3 Zones ZONE 1 Western & Southern Cape • Winter rainfall area • 91% sawlogs – balance poles • Stable & low levels of infestation ZONE 2 Eastern Cape, Southern KZN and KZN Midlands • Summer rainfall area • 60% sawlogs – balance pulpwood • Low to medium levels of infestation & increasing ZONE 3 Balance of KZN, Mpumalanga & Limpopo • Summer rainfall area • 69% sawlogs – balance pulpwood • Currently Sirex free
Area Demarcation & Characteristics 2 2. Zones Divided into 2 Regions ZONE 1 Currently Affected Total Currently Affected & Unaffected ZONE 2 Currently Unaffected ZONE 3
Scenarios 3. Basic scenarios developed ZONES 1 & 2 1. Based on Currently Affected Areas • Current cost / losses on areas affected • Plus cost of thinnings (5%, 10% & 15%) & inoculations • Potential cost / losses if all “area at risk” affected • Plus cost of thinnings (5%, 10% & 15%) & inoculations 2. Based on Currently Unaffected Areas ZONE 3 • Cost / losses if same infection levels as affected areas • Plus cost of thinnings (5%, 10% & 15%) & inoculations • Potential cost / losses if all “area at risk” affected • Plus cost of thinnings (5%, 10% & 15%) & inoculations 3. Consolidated ZONES 1, 2 & 3
Section 2 Summary of Preliminary Results
Areas Involved – Current Situation Hectares Total = 688 313 ha: At risk = 279 732 ha : Affected = 90 921 ha
Areas Involved – RSA Hectares Total = 688 313 ha: At risk = 279 732 ha : Potential Affected = 199 432 ha
Estimated Volume Losses – RSA (ex Sirex Damage - Growers) M3 Ex affected = 1 315 000 m3 : Ex at risk = 1 417 000 m3
Estimated Volume Losses – RSA (ex Sirex Damage - Processors) M3 Ex affected = 453 000 m3 : Ex at risk = 501 000 m3
Estimated Foregone Income - RSA(ex Sirex Damage - Growers) Million Rand Ex affected = R346 million : Ex at risk = R383 million
Estimated Foregone Income - RSA(ex Sirex Damage - Processors) Million Rand Ex affected = R1 431 million : Ex at risk = R1 527 million
Estimated Foregone Income(ex Sirex Damage) Million Rand
Estimated Foregone Income(ex Thinnings - Growers) Million Rand
Estimated Foregone Income(ex Thinnings - Processors) Million Rand
Estimated Inoculation Costs No inoculations undertaken Million Rand Current Affected Area = R20 m: Area at Risk = R74 m
Conclusion 1 • Sirex is already causing massive losses in terms of volume and foregone income for the Industry. • Should it spread into those areas where it currently is not present, these losses will increase dramatically. • Sirex will require a large amount of resources to be used to control it.
Conclusion 2 The best results can be achieved by taking action as soon as new infestations are discovered It is thus critical that an efficient and effective monitoring programme be developed and put in place ASAP