Global Forest Resources Assessment 2005
Professor Rod Keenan
The University of Melbourne
What are forests?
• Historically: an area of land reserved for the king for hunting
• Administrative/legal definitions • Production definitions• A biological community (ecosystem) of
plants and animals that is dominated by trees and other woody plants
Why do forests matter?
Livelihoods• 1.6 billion people
rely heavily on forests for their livelihood
• Woodfuel• Protein from
hunting and fishing• Medicines
Commodities and economic benefit
• Wood trade US$150B, 2% world trade
• Forest based enterprises provide up to 1/3 of non-farm employment
• Non-wood commodities also significant
Environmental services
• Clean water• Soil and erosion
protection• Carbon sequestration
Biodiversity
• Tropical forests cover 15% of land surface but over 50% of terrestrial species
Human values
• Aesthetic• Spiritual • Cultural• Recreational• Human health
FAO
• Rome based, regional offices, commissions
• Agriculture, forest production focus
• Direct technical support• ‘Normative’ functions • Information and statistics• Slow to react to changing
circumstances
The FRA 2005 Process229 countries and territories
10 regional review workshops
More than 40 variables on forest extent, condition, uses and values
229 detailed reports
3 points in time: 1990, 2000 and 2005
More than 800 specialists involved
Why undertake assessments?
Support implementation of sustainable forest management through the provision of sound information to inform policy and
management decisions
Total forest area
4 billion hectares of forest (40 million km2)
0.62 hectares per capita
30 percent of total land area
1.4 billion hectares of other wooded land
The world’s forestsThe Russian Federation, Brazil, Canada, USA and China together account for half the total
forest area
64 “low forest cover countries”
Forest change dynamics
FORESTReforestation
Natural regeneration
OTHERLAND
AfforestationNaturalexpansion
DeforestationNaturaldisasters
Deforestation and net forest loss
Net forest loss 2000-2005: 7.3 million ha/yr or 200 km2 per day
Deforestation: 13 million ha/yrNet forest loss 1990-2000: 8.9 million ha/yr
Mill
ion
hect
ares
Annual net change in forest area
Primary forests
36 percent of the world’s forests
Modified natural forests
53 percent of the world’s forests
Semi-natural forests
7 percent of the world’s forests
Forest plantation
4 percent of the world’s forests
Trends
Decrease:
6 million ha/yr
Increase:
2.8 million ha/yr
Forest health and vitality
Forests and climate change
Carbon in forest biomass: 283 GtAnnual change: -1.1 GtTotal carbon: More than in the atmosphere
Management,conservationanduse
Protection of soil and water
Production34%
9%
11%4%
34%
8%
Conservation of biodiversity
Recreation and education
Multiple use
Unknown function
Forest productsWood removals:
– 3 billion m3/yr– US$ 64 billion
NWFPs: Important, butdifficult to quantify
Industrial roundwood: 60%
Woodfuel: 40% Non-wood forest products
FRA 2005 is much more...OwnershipNumber of tree species
Growing stock composition
Vulnerable, endangered and critically endangered tree species
Growing stock and biomass
Employment
Synthesis Assessment
Science and policy: some fundamental differences
Scientists• Seeking truth• Long-term view• Open to many viewpoints• Focus on state of
environment or the ecosystem
• Ration and logic
Policy makers• Seeking a solution• Short-term view• Once policy is decided,
alternative viewpoints not encouraged or considered helpful
• Focus on public attitudes, perceptions and emotions
Telling the FRA story
• Headline variables• Composite indices
Headline indicators
• forest area• other wooded land area• Area of primary forest• area with designated primary function of biodiversity
conservation• productive plantation area• total growing stock commercial timber• total carbon stock• total volume and value of wood removals• total number of people employed in forests
Composite indices
• Economic indicators– GDP– Inflation rate– Consumer Price Index
Composite indices: desirable properties
• Clear message, easily understood and interpreted
• Strong scientific or theoretical basis• Policy relevance• Efficiently represent different elements
being integrated• Temporal relevance (capable of being
backdated, suitable for long-term measurement)
Composite indices
• environmental sustainability index (ESI)• ecological footprint• consumption pressure index• living planet index• green GDP
Purpose?
• Compare between countries• Trends across time• Regional analysis
Technical issues
• Variable selection• Scaling, ranking and standardising• Missing data• Aggregation• Weighting
Variable selection
Regional data availability
• High: 75–100 % of total forest area• Medium: 50–74 %• Low: 25–49 %• Less than 25 %: no data
Threshold of change
Global analysis, negatives
Global analysis, positives
Africa
Asia
Europe
North and Central America
South America
Oceania
Issues
• FRA variables do not address all aspects of sustainable forest management
• Low quality, out of date or missing data• Subjective variable selection that may not
relevant for all countries or at different scales• Value judgement on ‘positive’ or ‘negative’
trends – Forest area, wood removals, employment, area
conserved for biodiversity• Trends by region obscures positive or negative
trends in individual countries
Conclusions
• Most comprehensive assessment to date• 30% of the world’s land area is forest• Deforestation continues but net loss slowing
down • Forests are increasingly being conserved
and managed for multiple uses and values• New, comprehensive, unbiased information
for policy makers
Acknowledgements
• Country correspondents• FAO FRA team• Orjan Jonsson• Peter Holmgren• Mette Lloyche Wilkie• Lars Gunnar Marklund• Kailash Govil
What’s happening in Australia’s forests
Science for decision makers
Adam Gerrand
Manager, National Forest Inventory
How do we tell…
How we can improve our national forest monitoring
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Outline• Australia’s place in the worlds forests
• Why do we need to monitor our forests?
• Current forest data collection and reporting
• What would a national forest monitoring framework look like?
• Results from a pilot project in NE Victoria
• Conclusions ….possible next steps
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Why do we need to do it - Australia’s place in the worlds forests – the good news: mega biodiversity, unique flora & fauna
• Australia is 6th most forested country in the world (FAO)– 1. Russian Federation, 2. Brazil, 3. Canada,
4. U.S., 5. China, 6. Australia (4%)
• Australia has 164 million ha of forests• Australia is one of the world’s biodiversity “hotspots”
– In the top 17 countries with at least 17,000 recognised plant spp. and >4,000 known animal species classed as forest dependent
• We have domestic and international responsibilities to monitor and manage our forests and vegetation
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The bad news: deforestation is high= biodiversity loss, carbon emissions, etc
• 1788 est Australia = 33% forest, now down to 21%• Australia's annual deforestation was 500,000 ha/yr (-0.2%)
• Previously one of the highest in the world (top 10, now 15th)
• The good news is…..deforestation has halved from over 500,000 to 250,000ha/yr
• Government policies and action to halt land clearing are working
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Some justifications for improved forest monitoring• Our ability to operate/export (for many that means stay in business)
– Depends on the acceptance and social licence to operate– Public procurement policies are becoming more restrictive (EU)– Certification and monitoring of operations to demonstrate
sustainability is increasingly expected • Need to improve our data collection to fill data gaps & report on
TRENDS required to demonstrate sustainability• Applies to most countries…..but Australia is slipping behind
– Most developed countries already have sophisticated monitoring– Many developing countries are applying new techniques to
improve monitoring of their forests
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Demand for forest information is increasing
• Inform public debate• Inform policy development• Inform industry development• Evaluate management programs• Meet national & international reporting obligations
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What should we measure?The old paradigm was fairly simple:
Manage and monitor productive forests
ProductsSpecies
Productivity
Use
TIMBER
Volume
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Changing society values => forest and land management becomes more complex
Wildlife
WaterRecre-ation
Timber
AestheticsGrazing
Urban
SoilsManage
and monitorforest and landscape
Ecosystems for a range of values
New or future values (e.g. carbon)
Australia’s forests Australia has 164 million ha of forest
Brisbane
Sydney
Melbourne
Perth
Darwin
Adelaide
Hobart
CANBERRA
Tasmania has 3 million ha of forest
Most of Australia’s forests are low, sparse and remote
Not much is tall, dense and available for timber
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Australia’s forest reporting process (Howell et al.2005)
• 2003 State of the Forest Report (SOFR)
• Based on Montreal Process Criteria and Indicators
• First time all 74 national indicatorsreported against
• Some trends could be established for anumber of indicators based onAustralia’s 1998 SOFR
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Capacity for reporting
• Data not comprehensive for all indicators
• Of the 74 indicators in the 2003 SOFR
! 16 indicators - Good spatial and temporal data- Forest area and type
! 56 indicators - Limited coverage or data from case studies
! 2 indicators - No data - (eg. National soil erosion hazard)
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Availability and completeness of Australian forest data• Each indicated assessed eg.• Good data coverage,
currency and frequency for forest area
• Partial coverage and limited data for growth stage
• Soil erosion hazard– Poor coverage, currency
and frequency
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Australia
• SFM themes as reporting framework • BRS / NFI prepared Australia’s FRA report
– based on data from all States and Territories
– & Australia’s State of the Forest report
FAO Global FRA success
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Australia’s ability to complete FRA tables
xx1000 person-yearsEmployment in forestryT15
Xxx1000 USDValue of non wood forest products removalT14
xxxMass/unit/volNon wood forest products removalT13
Xxx1000 USDValue of wood removalT12
xxx1000 m3Wood removalT11
XxxMill. m3Growing stock compositionT10
xNumberDiversity of tree speciesT9
xx1000 haDisturbances affecting health & vitalityT8
XxxMill. tonnesCarbon stockT7
XxxMill. tonnesBiomass stockT6
XxxMill. m3Growing stockT5
xxx1000 haCharacteristics of Forest and OWLT4
xxx1000 haDesignated functions of Forest and OWLT3
xx1000 haOwnership of Forest and OWLT2
xxx1000 haExtent of Forest and OWLT1
200520001990UnitTitleTable
How we are working to improve our data:The current framework of data collection
• Compilation and mapping approach• Data from State agencies (variety of
sources and standards)– State and Territory inventories– Air photos, remote sensing etc
• OK for snapshots, BUT…
• Varying sources and methods= inconsistent
• Different scales and quality of data• Collected at different times
= CANT DO TRENDS!
a “patchwork quilt”
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A way forward: the proposed Continental Forest Monitoring Framework (CFMF)
• National consistency and trends through permanent plots• A grid framework rather than sampling according to one value• Core set of scientifically reliable data
– on baseline and trends in forest extent and condition– from repeated, consistent measures
• Accurate change estimates at 5 year intervals• 3 Tier structure integrates field data and remote sensing
technologies to build on relative strengths of each data source
1b
1a
2
3
Tier
Forest Extent Mapping – continental scale
Continental grid for national and regional reporting
still essential but linked to RS mapping for efficiency and change detection
+newExistingField Plots
High resolution remote sensing – regional to local
Lower resolution satellite imagery
CFMF Multi-tier approach
Tier 1a: Continental Forest Mapping• National consistency - baseline and trends • Cover the whole country• Periodic updates (potential every 6 to 24 months)• 25m – 12.5m resolution• Attributes measured
– Broad cover and forest extent - AGO land cover change (1972 – 2004) – Forest cover change
-Large scale disturbance
Canberra
2002 LANDSAT 2003
• 5 km by 5 km image plots
• 1m – 10m resolution data
• SPOT 5, lidar, air photos & Ikonos
• Repeat samples e.g. 5 years
• Archived library
• Attributes measured– Forest extent
– Forest type, cover, height
– Land use and change
– Forest health and disturbance
– Extent and condition rare forest types and linear features (eg riparian vegetation)
Landsat TM wall to wall coverage
5km
5km
Tier 2: Hi-resolution plot
SPOT 5 sample tile
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• Ground plots essential• Connected to remote sensing data
to enable scaling up– Species, height, cover, growth
stage by strata (upper, mid, lower)– Site, disturbance, health– Habitat values & woody debris– Tree map
Tier 3: Ground plots
30m
30m
90m
90m
SPOT 5
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Conclusions from NE Victorian CFMF pilot
• CFMF multi-tier connected layer design is robust– takes advantages of different technologies– provides high accuracy but at high cost – Cost estimated $14m over first 5 years, then $2m/yr ongoing
• Assess modifying original design– To reduce costs – investigate modelling and better use of existing data– Apply modular or staged approach
- eg vary grid spacing to 100km not 20km
• Investigate CFMF application across the landscape to incl. othervegetation and land uses (NRM regional clients to share costs)
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Need to link data and share knowledge better
• Need to link data and share knowledge with other systems & disciplines– For efficiency of cost and effort, reduce duplication– For consistency of results (less time debating data, more on decisions)– For improved capacity and sharing techniques
• Globally– FAO FRA www.fao.fra– Global scientific community (e.g. GEO / GEOS) – NGO’s such as WWF, Greenpeace– Even communities and individuals www.confluence.org
• Nationally - Other government Departments and agencies- AGO, Geoscience Australia, CSIRO, Universities, DEST (TERN)
• Regionally - NRM and catchment management agencies, CMA’s etc
• Area covered at sample site: 10 km x 10 km
➾ ~ 13 000 sampling sites (excluding poles and deserts)
➾ Sampling intensity: about 1 % ( 1.2 % of land surface)
• Area covered at sample site: 10 km x 10 km
➾ ~ 13 000 sampling sites (excluding poles and deserts)
➾ Sampling intensity: about 1 % ( 1.2 % of land surface)
Proposed FRA 2010 remote sensing Global Information frameworkConnecting the national data into the global
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www.confluence.org
• a bunch of amateurs? • Sample grid at 1 degree
intersections (approx 730 points for Australia)
the rest of the world really is watching• If you go into the woods (web) today, you’re in for a big
surprise….
Hands up if you have used Google Earth?Future data delivery?making data easily accessible
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Terrestrial Ecosystem Research Network (TERN)• DEST call for major national infrastructure projects (NCRIS)
– Nuclear research facility, nano-technology, etc– Also a Terrestrial Ecosystem Research Network (TERN)
• Up to $50 million to build infrastructure to collate, store and distribute data– better, more open access
• Connect remote sensing data to field data – RS frequent, consistent good spatial coverage and relatively cheap
• Connect detailed research LTER sites with broader landscape monitoring • Build cross-disciplinary research networks • Use the huge potential of information collected to build knowledge on the
sustainability of our forest and other ecosystems
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Next steps…?• The rest of the world is watching….• Recognise responsibilities and importance of forest monitoring• Build broad support and strong commitment• Refine options for design of an agreed integrated continental
forest and vegetation monitoring framework• Draw from and feed back into:
– Montreal Criteria and Indicator reporting for 2008 SOFR– FAO-FRA2010, esp. remote sensing component– Other processes eg. Global Earth Observation (GEO)
• Build into TERN design proposal and get funding support from key stakeholders, policy and decision-makers and just do it!
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Improving information on Australia’s forests
• Australia’s State of the Forests Report (400 pages)
• Short forest profile series (Eucalypts, Acacia…etc.)
• Forests at a glance (pocket size)
• Plantation reports
• Available free on internet:
– www.brs.gov.au/nfi
– www.brs.gov.au/plantations– www.brs.gov.au/stateoftheforests– www.daff.gov.au