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Costs and benefits of forest biosecurity: Established pests. Case study I. – Eucalyptus leaf beetle
Tim Wardlaw*, Nick Cameron, Tyron Venn, Angus Carnegie, Simon Lawson* Forestry Tasmania
Outline of the presentation
• Context within framework of forest biosecurity
• Understanding leaf beetles – informing management
• Operational management of leaf beetles
• Analysis of the costs and benefits developing and using the IPM
• Informing future investments in managing pests and diseases by the plantation forestry sector
Inte
rcep
tion
Initi
al e
stab
lishm
ent
(era
dica
ble)
Esta
blish
ed(o
ngoi
ng m
anag
emen
t)The biosecurity continuum
Offshore origin Australian port
Metropolitan parkCommercial plantation
The biosecurity continuum
Offshore Intercepted Established
Ong
oing
man
agem
ent
Pre-
rele
ase
insp
ectio
ns
High
-risk
site
surv
eilla
nce
Rout
ine
surv
eilla
nce
/ ad
hoc
insp
ectio
ns
Offs
hore
inte
llige
nce
Impo
rt ri
sk a
sses
smen
t(im
port
rest
rictio
ns, p
hyto
-sa
nita
ry tr
eatm
ents
)
Eradication option
$/ha/yr(costs / losses)
Case studies for cost-benefit analysis
Monochaemus alternans(Japanese sawyer beetle)
Paropsisterna bimaculataTasmanian leaf beetle
Sirex noctilioSirex wood wasp
Exotic wood borerNot established
Exotic wood borerEstablished
Native defoliatorEstablished
Tasmanian leaf beetle cost-benefit analysis
Scope• Research - IPM (1974 – 2014)• Research – soft chemicals (1989 – 2012)• Operational management (2003 – 2034)
• Averted losses due to management (2003-2034)
Cost
sBe
nefit
s
Research: leaf beetle Integrated Pest Management
Life history
(Elliott & de Little)
1975-1980
Natural enemies
(Elliott & de Little)
1975-1980
Growth impact
(Elliott, Greener,
Elek, Candy)
1974-1996
Population –
damage relationship
(Candy)
1994-1996
Population sampling
(Candy, Bashford)
1994-1996
Operational spray trials
(Elliott, Bashford, Elek)
1987-1993
Research: softer chemicals
Bacillus thuringiensis var. tenebrionis
1989-1997
Spinosad (Success)
1998-2002
Lethal trap trees(proof-of-concept for “attract and kill”)
2005-2011
Operational leaf beetle IPM
summeremergence
adultseggs
1st instar larvae (L1)
2nd instar larvae
(L2)
3rd instar larvae (L3)
4th instar larvae(L4)
pupae
Responsible for themajority of the
defoliation damage
Majority of predation by
natural enemies
models
Population monitoring
teneral adults
pre-control sample
initial sampleControl decision
spring/summer dispersal of adults over-wintering adults
control
Trial: 1990Operational: 1992Refine 1: 2000Refine 2: 2011
$
Some definitions
Over-threshold: a leaf beetle population that if not managed would cause severe defoliation (>50% current seasons foliage removed)
Leaf beetle risk: Likelihood of plantation experiencing over-threshold populations: three classes (low, medium and high) based on altitude (>550m) and proximity to native grassland
Low risk Plantation below 550m and >10 km from native grassland
Medium risk: Plantation either above 550m or <10km from native grassland
High risk: Plantation above 550m and < 10km from native grassland
The leaf beetle populations
0
10000
20000
30000
40000
50000
60000
1990
1992
1994
1996
1998
2000
2002
2004
2006
2008
2010
2012
2014
Tota
l are
a es
tabl
ishe
d (h
a)
Pulpwood Pruned
Measured populations
Simulated populations
2034
Over-threshold populations peak at early age then decline
0
5
10
15
20
25
30
3 5 7 9 11 13
Coup
es w
ith o
ver-
thre
shol
dpo
pula
tions
(% o
f all
coup
es)
Plantation age (years)
Over-threshold
All populations
Medium and high risk plantations experience more over-threshold populations than low risk plantations
0.00.10.20.30.40.50.60.70.80.91.0
0.0 0.2 0.4 0.6 0.8 1.0
Cum
ulat
ive
prop
ortio
n of
co
upes
in ri
sk g
roup
Proportion of years with O/T populations
Low Medium HighLeaf beetle risk group
15%
55%
The scenarios
Low risk plantationsNumber of over-threshold populations
Age 1 2 3 53 x x4 x x x5 x x x6 x7 x8 x9
101112
Medium-high risk plantationsNumber of over-threshold populations
Age 1 2 3 4 5 6 83 x x x x4 x x x5 x x x6 x x x x7 x x x x8 x x9 x x x
10 x x11 x12 x
Calculating losses in wood volumes for scenarios
01020304050607080
0 5 10 15
% o
f no
defo
liatio
n CA
I
Plantation age (years)
Growth reduction from severe (75%) defoliation by over-threshold populations
Yield tablesSite Index (4) x Leaf beetle scenario (11) x Regime (4) = 144 FFT runs
RegimesPulpwood: 15 years, no thin; 4 site index classes (<21, 21-22, 22-25, >25)Pruned: 25 years, thin 12 y.o.; 4 site index classes (<23, 23-26, 26-28, >28)
Volume losses averted by protecting from severe defoliation
020406080
100120140160
2003
2005
2007
2009
2011
2013
2015
2017
2019
2021
2023
2025
2027
2029
2031
2033
Incr
ease
in y
ield
from
IPM
(m3
x 10
00)
Year
PulpwoodUnpruned peelerPruned sawlog
Pruned sawlog($40/m3)
Unpruned peeler($20/m3)
Pulpwood($15/m3)
Total increase from IPM (m3) 86,088 690,211 1,016,188m3/ha 1 8 11% of volume (no leaf beetle) 3.9 6.4 9.9Losses averted (Ha/yr) 81 177 274
Management effort for IPM
0
5,000
10,000
15,000
20,000
25,000
30,000
35,000
2003
2005
2007
2009
2011
2013
2015
2017
2019
2021
2023
2025
2027
2029
2031
2033
Area
man
aged
(ha)
Year
MonitoringSpraying
Monitoring cost: $3.80/ha (2015 $)Spraying cost: $56/ha ($2015 $)
Total costs of research and management
$0
$50,000
$100,000
$150,000
$200,000
$250,000
$300,000
$350,000
$400,000
$450,000 IPM Spraying Cost IPM Monitoring CostIPM R&D Cost (soft insecticides) IPM R&D Cost (conventional insecticides)
Cashflow from IPM (2015 $)
-$500,000
$0
$500,000
$1,000,000
$1,500,000
$2,000,000
1975
1977
1979
1981
1983
1985
1987
1989
1991
1993
1995
1997
1999
2001
2003
2005
2007
2009
2011
2013
2015
2017
2019
2021
2023
2025
2027
2029
2031
2033
Long time between when research commenced and when positive cashflow
begins
Control provides strong benefit when fully deployed
Fully established plantation estatePeriod of plantation expansion
Key findingsOver the 60-year period (1975-2034) of the “IPM project” research was the major cost (2/3 of cost).
Once operational the IPM provided strong benefit (BCR > 7)
• Staging of research is important – the sooner management arising from research is applied the better
• Centralise research costs AND maximise adoption of the resultant operational management (by as many growers of susceptible plantations as possible)