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Framework for assessing and reporting
resilience of native vegetation
Richard Thackway
Lecture presented as part of the Fenner School of Environment and Society,
ANU’s undergraduate course, ENVS3041 Managing Forested Landscapes
8 March 2017
Outline
• Concepts and definitions
• Why & how land managers change their landscapes
• A standardised system for assessing and reporting resilience
• The VAST methodology site and landscape
• Case studies - Cumberland State Forest, Sydney
• Lessons
• Conclusions
1925
Occupation
Relaxation
Anthropogenic
change
Net benefit
time
1900 20251950
Reference
changeinvegetation
indicatororindex
1850 1875 1975 2000
VAST
classes
A model of ecosystem change
(causes & effects)
VAST = Vegetation Assets States and Transitions
NVIS = National Vegetation Information System
VIVIVIIIIII0
Native vegetation
cover
Non-native vegetation
cover
Increasing modification caused by use and management
Transitions = trend
Vegetation
thresholds
Reference for
each veg type
(NVIS)
A framework for assessing & reporting
changes in plant communities
Condition states
Residual or
unmodified
Naturally
bare
Modified Transformed Replaced -
Adventive
Replaced -
managed
Replaced -
removed
Thackway & Lesslie (2008) Environmental
Management, 42, 572-90
Diagnostic attributes of VAST states:
• Vegetation structure
• Species composition
• Regenerative capacity
NVIS
Change over space
Thackway & Lesslie (2008)
Environmental Management, 42, 572-90
NB: Input dataset biophysical naturalness reclassified using
VAST framework
/ replaced
/ unmodified
VAST 2009
Native
How to account for changes in
native veg type, extent and condition?
LMP deliberately &/or unintentionally do this by:
• Modifying
• Removing and replacing
• Enhancing
• Restoring
• Maintaining
• Improving
*
* Natural disturbances
Function
Structure &
Composition
LMP = land management practices
Tracking change and trends based assessing
effects of land management regimes
Effects of regimes on criteria
& indicators of function,
structure and composition
Examples
No active interventions Biodiversity protection, minimal use
Harvest products Biomass, fibre, flowers, fruit and nuts
Enhance or improve Rehydrate soils, control invasive
species, reestablish a fire regime, seed
hays
Extirpate or remove Overgrazing, intensive cropping,
pasture improvement, removal of fire
regime, draining wetlands
Reconstruct Revegetate, rehydrate soils, stabilize
soil
Thackway and Freudenberger (2016)
A framework that is relevant to all
terrestrial ecosystems and their
modification states
Source: http://www.headlinesciencenow.com/2013/11/29/cracking-chicken-egg-mystery/
Response
variables
(effects)
Management
regimes
VAST I: Unmodified /residual native
Photographs: Richard Thackway & Ross Peacock
VAST II: Modified native
Photographs: Richard Thackway
VAST III: Transformed native
Photographs: Richard Thackway
VAST IV: Replaced & adventive
Photograph: Richard Thackway
VAST V: Replaced & managed
Photographs: Richard Thackway
VAST VI: Replaced & removed
Photographs: Richard Thackway
A framework for assessing and
reporting vegetation resilience
(space and time)
Understanding ecosystem change over time
Indigenous
land
management
First
explorers
Grazing
Degreeof
modification
Logging
Cropping
Site 1
Site 2
Site 3
Time
Reference state
Long
term
rainfall
Long term
disturbance
e.g. wildfire,
cyclones
Revegetation
The same ecosystem e.g. eucalypt open forest with different management histories
t2t1
t3
Creating systematic and comprehensive chronology to assess where,
when and how landscapes are transformed relative to a reference
LU = Land Use, LMP = Land Management Practices
VAST Diagnostic attributes
Time
Components
(3)
Function
Regenerativecapacity
Vegetationstructure
Species
Composition
Components
(3)
Criteria
(10)
Function
Regenerativecapacity
Fire regime
Soil hydrology
Soil physical
state
Soil nutrient
state
Soil biological
state
Reproductive
potential
Vegetationstructure
Overstorey
structure
Understorey
structure
Species
Composition
Overstorey
composition
Understorey
composition
Components
(3)
Criteria
(10)
Description of loss or gain relative to pre settlement indicator reference state
(22)
Function
Regenerativecapacity
Fire regime Change in the area /size of fire foot prints
Change in the number of fire starts
Soil hydrology Change in the soil surface water availability
Change in the ground water availability
Soil physical
state
Change in the depth of the A horizon
Change in soil structure.
Soil nutrient
state
Nutrient stress – rundown (deficiency) relative to soil fertility
Nutrient stress – excess (toxicity) relative to soil fertility
Soil biological
state
Change in the recyclers responsible for maintaining soil porosity and nutrient recycling
Change in surface organic matter, soil crusts
Reproductive
potential
Change in the reproductive potential of overstorey structuring species
Change in the reproductive potential of understorey structuring species
Vegetationstructure
Overstorey
structure
Change in the overstorey top height (mean) of the plant community
Change in the overstorey foliage projective cover (mean) of the plant community
Change in the overstorey structural diversity (i.e. a diversity of age classes) of the stand
Understorey
structure
Change in the understorey top height (mean) of the plant community
Change in the understorey ground cover (mean) of the plant community
Change in the understorey structural diversity (i.e. a diversity of age classes) of the plant
Species
Composition
Overstorey
composition
Change in the densities of overstorey species functional groups
Change in no.s of indigenous overstorey species relative to the number of exotic species
Understorey
composition
Change in the densities of understorey species functional groups
Change in no.s of indigenous understorey species relative to the number of exotic species
1
3
10
22
Diagnostic
attributes
Vegetation
Transformation
score
Attribute
groups
Vegetation
Structure
(27%)
Overstorey
(3)
Understorey
(3)
Species
Composition
(18%)
(2)
UnderstoreyOverstorey
(2)
Regenerative
Capacity
(55%)
Fire
(2)
Reprod
potent
(2)
Soil
Hydrology
(2)
Biology
(2)
Nutrients
(2)
Structure
(2) Indicators
VAST-2 – benchmark scoring of the effects of use and
management of native veg (indicators) over time
Generate total indices for ‘transformation site’ for each year of the
historical record. Validate using Expert Knowledge
• Compile and collate effects of land
management on criteria (10) and
indicators (22) over time.
• Evaluate impacts on the plant
community over time
Transformation site
• Compile and collate effects of
land management on criteria
(10) and indicators (22)
Reference state/sites
Score all 22 indicators for ‘transformation site’ relative to the
‘reference site’. 0 = major change; 1 = no change
Derive weighted indices for the ‘transformation site’ i.e. regenerative
capacity (55%), vegetation structure (27%) and species composition (18%)
by adding predefined indicators
General process for tracking change over time
using the VAST-2 system
Definitions
• Change in a plant community type due to effects of land
management practices:
– Structure
– Composition
– Regenerative capacity
• Resilience = capacity of an plant community to recover toward
a reference state following change/s in land management
• Transformation = changes to vegetation condition over time
• Condition, resilience and transformation are assessed relative
to fully natural a reference state
Vegetation condition
Synthesising information using a hierarchy
• Level 1: Scores over time
• Level 2: Components
• Level 3: Criteria
• Level 4: Indicators
• Level 5: Field measures/observations (Direct) and Expert /inference
models (Indirect)
Components
(Level 2)
Criteria
(Level 3)
Description of loss or gain relative to pre settlement indicator reference state
(Level 4)Regenerativecapacity
Function
Natural
disturbance
Change in the area /size of events
Change in the number of events
Soil hydrology Change in the soil surface water availability
Change in the ground water availability
Soil physical
state
Change in the depth of the A horizon
Change in soil structure.
Soil nutrient
state
Nutrient stress – rundown (deficiency) relative to soil fertility
Nutrient stress – excess (toxicity) relative to soil fertility
Soil biological
state
Change in the recyclers responsible for maintaining soil porosity and nutrient recycling
Change in surface organic matter, soil crusts
Reproductive
potential
Change in the reproductive potential of overstorey structuring species
Change in the reproductive potential of understorey structuring species
Vegetationstructure
Overstorey
structure
Change in the overstorey top height (mean) of the plant community
Change in the overstorey foliage projective cover (mean) of the plant community
Change in the overstorey structural diversity (i.e. a diversity of age classes) of the stand
Understorey
structure
Change in the understorey top height (mean) of the plant community
Change in the understorey ground cover (mean) of the plant community
Change in the understorey structural diversity (i.e. a diversity of age classes) of the plant
Species
Composition
Overstorey
composition
Change in the densities of overstorey species functional groups
Change in no.s of indigenous overstorey species relative to the number of exotic species
Understorey
composition
Change in the densities of understorey species functional groups
Change in no.s of indigenous understorey species relative to the number of exotic species
Case study 1
Phillip Island, South Pacific
Phillip Island
Google earth
Photograph: Peter Coyne
1740
1906
Phillip Island, South Pacific
Photograph: State Library NSW: JW Beattie
By 1860 already denuded
(Removed and replaced: VAST VI)
Reference (Unmodified: VAST I)
Pine – Hardwood Subtropical Rainforest
1981
2008
Photographs: Peter Coyne
(Adventive: VAST IV)
(Adventive: VAST IV)
year
score%
Pine – Hardwood Subtropical Rainforest, Phillip Island, Sth Pacific
Pigs
released
Uninhabited
island
Pigs died
out
Goats and
rabbits released
Goats died
out
Rabbits
eradicated
Rabbit
control
commenced
Commenced
passive & active
restoration.
Minimal ecological
monitoring
Case study 2
Bridge Hill Ridge, Myall Lakes, NSW
Sand mining
path
Bridge Hill
Ridge
Sydney
Newcastle
Smiths Lake
Restoration following mineral sand mining
Topsoil briefly
stockpiled <10 days
Timber harvested and
remaining trees and
vegetation removed
1974 (0 years old)
Photographs: Barry Fox
(Removed and replaced: VAST VI)
Sand sprayed and dried and
re-shaped as a contoured
dune
Sandmining
Dredge
Original
Eucalypt open forest
Dredge
Pond
Smiths Lake
Dredge Pond
1974 (0 years old)
Photographs: Barry Fox
(Removed and replaced: VAST VI)
1974-75 (0-6 months old)
Topsoil
spread
over
reshaped
sand
dune
Sorghum
cover
crop
planted
1974 (One month old) 1975 (< 6 months old)
Photograph: Barry Fox
(Removed and replaced: VAST VI)
(Removed and managed: VAST V)
2014 (39 years later)
Photographs: Richard Thackway(Unmodified: VAST II)
Function (Regenerative capacity)
Criteria
Criteria
Vegetation structure
Criteria
Species composition
Predictions of mature forest
(Bunning’s Enquiry 1974)*
* 50 yrs 2035, 80 yrs 2055, 100 yrs 2074
• Network of collaborators
• Ecologists, land managers, academics, research scientists,
environmental historians
• Inputs
• Reference state
• Historical record of land use & Land management practices
• Historical record of major natural events e.g. droughts, fires, floods,
cyclones, average rainfall 1900-2012
• Observed interactions e.g. rabbits, sheep and drought
• Observations and quantitative measures of effects
• Include written, oral, artistic, photographic and remote sensing
Lessons: Resources needed at site level
Lessons: site vs landscape
1. Constrain assessments to soil landscape units because this
approximates to land manager’s
2. Must account for major natural events e.g. flood, fire, cyclone
3. Remote sensing is only part of the solution –
a) Some measures of remote sensing e.g. greenness of crown health may not be
directly related to vegetation condition
4. Tracking outcomes of management interventions
a) Must collect on-ground data and have a model for linking change to datasets
derived from remote sensing
Lessons: Importance of dynamics
Assume rainfall is main driver of natural system dynamics
• Period 1900 - 2013
• Average seasonal rainfall (summer, autumn, …)
• Rainfall anomaly is calculated above and below the mean
• Two year running trend line fitted
Agro-climatic
regions
Peer reviewed sites
Applications of the
framework
Transformationscore
Years
1800
2016
Reference
Relevance to developing scenarios for future
landscape transformation
Modified
Transformed
Replaced/
managed
Residual
Replaced/
adventive
VAST Classes
1850 19501900 2000 2050 2100
Replaced/
removed
Baseline
Classes can be modelled as extent and condition
Extentnative
Conclusions
• A framework that helps decision makers assess and report change at
sites and landscapes due to human management and natural drivers
• A tool (i.e. VAST) for assisting in reporting on the current status of
Australia’s vegetation types - used in
– National State of the Environment Report (2011)
• An accounting tool (VAST-2) for reporting change and trend in the
transformation of vegetation types at sites - used in
– National State of the Forests Report (2013)
– Regional Environmental Accounts (Wentworth Group of Concerned
Scientists 2015)
More info & Acknowledgements
More information
http://www.vasttransformations.com/
http://portal.tern.org.au/search
http://aceas-data.science.uq.edu.au/portal/
Acknowledgements
• Many public and private land managers, land management agencies,
consultants and researchers have assisted in the development of VAST & VAST-2

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Framework for assessing and reporting resilience of native vegetation

  • 1. Framework for assessing and reporting resilience of native vegetation Richard Thackway Lecture presented as part of the Fenner School of Environment and Society, ANU’s undergraduate course, ENVS3041 Managing Forested Landscapes 8 March 2017
  • 2. Outline • Concepts and definitions • Why & how land managers change their landscapes • A standardised system for assessing and reporting resilience • The VAST methodology site and landscape • Case studies - Cumberland State Forest, Sydney • Lessons • Conclusions
  • 4. VAST = Vegetation Assets States and Transitions NVIS = National Vegetation Information System VIVIVIIIIII0 Native vegetation cover Non-native vegetation cover Increasing modification caused by use and management Transitions = trend Vegetation thresholds Reference for each veg type (NVIS) A framework for assessing & reporting changes in plant communities Condition states Residual or unmodified Naturally bare Modified Transformed Replaced - Adventive Replaced - managed Replaced - removed Thackway & Lesslie (2008) Environmental Management, 42, 572-90 Diagnostic attributes of VAST states: • Vegetation structure • Species composition • Regenerative capacity NVIS
  • 5. Change over space Thackway & Lesslie (2008) Environmental Management, 42, 572-90 NB: Input dataset biophysical naturalness reclassified using VAST framework / replaced / unmodified VAST 2009 Native
  • 6. How to account for changes in native veg type, extent and condition? LMP deliberately &/or unintentionally do this by: • Modifying • Removing and replacing • Enhancing • Restoring • Maintaining • Improving * * Natural disturbances Function Structure & Composition LMP = land management practices
  • 7. Tracking change and trends based assessing effects of land management regimes Effects of regimes on criteria & indicators of function, structure and composition Examples No active interventions Biodiversity protection, minimal use Harvest products Biomass, fibre, flowers, fruit and nuts Enhance or improve Rehydrate soils, control invasive species, reestablish a fire regime, seed hays Extirpate or remove Overgrazing, intensive cropping, pasture improvement, removal of fire regime, draining wetlands Reconstruct Revegetate, rehydrate soils, stabilize soil Thackway and Freudenberger (2016)
  • 8. A framework that is relevant to all terrestrial ecosystems and their modification states
  • 10. VAST I: Unmodified /residual native Photographs: Richard Thackway & Ross Peacock
  • 11. VAST II: Modified native Photographs: Richard Thackway
  • 12. VAST III: Transformed native Photographs: Richard Thackway
  • 13. VAST IV: Replaced & adventive Photograph: Richard Thackway
  • 14. VAST V: Replaced & managed Photographs: Richard Thackway
  • 15. VAST VI: Replaced & removed Photographs: Richard Thackway
  • 16. A framework for assessing and reporting vegetation resilience (space and time)
  • 17. Understanding ecosystem change over time Indigenous land management First explorers Grazing Degreeof modification Logging Cropping Site 1 Site 2 Site 3 Time Reference state Long term rainfall Long term disturbance e.g. wildfire, cyclones Revegetation The same ecosystem e.g. eucalypt open forest with different management histories t2t1 t3
  • 18. Creating systematic and comprehensive chronology to assess where, when and how landscapes are transformed relative to a reference LU = Land Use, LMP = Land Management Practices VAST Diagnostic attributes Time
  • 20. Components (3) Criteria (10) Function Regenerativecapacity Fire regime Soil hydrology Soil physical state Soil nutrient state Soil biological state Reproductive potential Vegetationstructure Overstorey structure Understorey structure Species Composition Overstorey composition Understorey composition
  • 21. Components (3) Criteria (10) Description of loss or gain relative to pre settlement indicator reference state (22) Function Regenerativecapacity Fire regime Change in the area /size of fire foot prints Change in the number of fire starts Soil hydrology Change in the soil surface water availability Change in the ground water availability Soil physical state Change in the depth of the A horizon Change in soil structure. Soil nutrient state Nutrient stress – rundown (deficiency) relative to soil fertility Nutrient stress – excess (toxicity) relative to soil fertility Soil biological state Change in the recyclers responsible for maintaining soil porosity and nutrient recycling Change in surface organic matter, soil crusts Reproductive potential Change in the reproductive potential of overstorey structuring species Change in the reproductive potential of understorey structuring species Vegetationstructure Overstorey structure Change in the overstorey top height (mean) of the plant community Change in the overstorey foliage projective cover (mean) of the plant community Change in the overstorey structural diversity (i.e. a diversity of age classes) of the stand Understorey structure Change in the understorey top height (mean) of the plant community Change in the understorey ground cover (mean) of the plant community Change in the understorey structural diversity (i.e. a diversity of age classes) of the plant Species Composition Overstorey composition Change in the densities of overstorey species functional groups Change in no.s of indigenous overstorey species relative to the number of exotic species Understorey composition Change in the densities of understorey species functional groups Change in no.s of indigenous understorey species relative to the number of exotic species
  • 23. Generate total indices for ‘transformation site’ for each year of the historical record. Validate using Expert Knowledge • Compile and collate effects of land management on criteria (10) and indicators (22) over time. • Evaluate impacts on the plant community over time Transformation site • Compile and collate effects of land management on criteria (10) and indicators (22) Reference state/sites Score all 22 indicators for ‘transformation site’ relative to the ‘reference site’. 0 = major change; 1 = no change Derive weighted indices for the ‘transformation site’ i.e. regenerative capacity (55%), vegetation structure (27%) and species composition (18%) by adding predefined indicators General process for tracking change over time using the VAST-2 system
  • 24. Definitions • Change in a plant community type due to effects of land management practices: – Structure – Composition – Regenerative capacity • Resilience = capacity of an plant community to recover toward a reference state following change/s in land management • Transformation = changes to vegetation condition over time • Condition, resilience and transformation are assessed relative to fully natural a reference state Vegetation condition
  • 25. Synthesising information using a hierarchy • Level 1: Scores over time • Level 2: Components • Level 3: Criteria • Level 4: Indicators • Level 5: Field measures/observations (Direct) and Expert /inference models (Indirect)
  • 26. Components (Level 2) Criteria (Level 3) Description of loss or gain relative to pre settlement indicator reference state (Level 4)Regenerativecapacity Function Natural disturbance Change in the area /size of events Change in the number of events Soil hydrology Change in the soil surface water availability Change in the ground water availability Soil physical state Change in the depth of the A horizon Change in soil structure. Soil nutrient state Nutrient stress – rundown (deficiency) relative to soil fertility Nutrient stress – excess (toxicity) relative to soil fertility Soil biological state Change in the recyclers responsible for maintaining soil porosity and nutrient recycling Change in surface organic matter, soil crusts Reproductive potential Change in the reproductive potential of overstorey structuring species Change in the reproductive potential of understorey structuring species Vegetationstructure Overstorey structure Change in the overstorey top height (mean) of the plant community Change in the overstorey foliage projective cover (mean) of the plant community Change in the overstorey structural diversity (i.e. a diversity of age classes) of the stand Understorey structure Change in the understorey top height (mean) of the plant community Change in the understorey ground cover (mean) of the plant community Change in the understorey structural diversity (i.e. a diversity of age classes) of the plant Species Composition Overstorey composition Change in the densities of overstorey species functional groups Change in no.s of indigenous overstorey species relative to the number of exotic species Understorey composition Change in the densities of understorey species functional groups Change in no.s of indigenous understorey species relative to the number of exotic species
  • 27. Case study 1 Phillip Island, South Pacific
  • 29. Photograph: Peter Coyne 1740 1906 Phillip Island, South Pacific Photograph: State Library NSW: JW Beattie By 1860 already denuded (Removed and replaced: VAST VI) Reference (Unmodified: VAST I) Pine – Hardwood Subtropical Rainforest
  • 30. 1981 2008 Photographs: Peter Coyne (Adventive: VAST IV) (Adventive: VAST IV)
  • 31. year score% Pine – Hardwood Subtropical Rainforest, Phillip Island, Sth Pacific Pigs released Uninhabited island Pigs died out Goats and rabbits released Goats died out Rabbits eradicated Rabbit control commenced Commenced passive & active restoration. Minimal ecological monitoring
  • 32. Case study 2 Bridge Hill Ridge, Myall Lakes, NSW
  • 33. Sand mining path Bridge Hill Ridge Sydney Newcastle Smiths Lake Restoration following mineral sand mining
  • 34. Topsoil briefly stockpiled <10 days Timber harvested and remaining trees and vegetation removed 1974 (0 years old) Photographs: Barry Fox (Removed and replaced: VAST VI)
  • 35. Sand sprayed and dried and re-shaped as a contoured dune Sandmining Dredge Original Eucalypt open forest Dredge Pond Smiths Lake Dredge Pond 1974 (0 years old) Photographs: Barry Fox (Removed and replaced: VAST VI)
  • 36. 1974-75 (0-6 months old) Topsoil spread over reshaped sand dune Sorghum cover crop planted 1974 (One month old) 1975 (< 6 months old) Photograph: Barry Fox (Removed and replaced: VAST VI) (Removed and managed: VAST V)
  • 37. 2014 (39 years later) Photographs: Richard Thackway(Unmodified: VAST II)
  • 41. Predictions of mature forest (Bunning’s Enquiry 1974)* * 50 yrs 2035, 80 yrs 2055, 100 yrs 2074
  • 42. • Network of collaborators • Ecologists, land managers, academics, research scientists, environmental historians • Inputs • Reference state • Historical record of land use & Land management practices • Historical record of major natural events e.g. droughts, fires, floods, cyclones, average rainfall 1900-2012 • Observed interactions e.g. rabbits, sheep and drought • Observations and quantitative measures of effects • Include written, oral, artistic, photographic and remote sensing Lessons: Resources needed at site level
  • 43. Lessons: site vs landscape 1. Constrain assessments to soil landscape units because this approximates to land manager’s 2. Must account for major natural events e.g. flood, fire, cyclone 3. Remote sensing is only part of the solution – a) Some measures of remote sensing e.g. greenness of crown health may not be directly related to vegetation condition 4. Tracking outcomes of management interventions a) Must collect on-ground data and have a model for linking change to datasets derived from remote sensing
  • 44. Lessons: Importance of dynamics Assume rainfall is main driver of natural system dynamics • Period 1900 - 2013 • Average seasonal rainfall (summer, autumn, …) • Rainfall anomaly is calculated above and below the mean • Two year running trend line fitted
  • 46. Transformationscore Years 1800 2016 Reference Relevance to developing scenarios for future landscape transformation Modified Transformed Replaced/ managed Residual Replaced/ adventive VAST Classes 1850 19501900 2000 2050 2100 Replaced/ removed Baseline Classes can be modelled as extent and condition Extentnative
  • 47. Conclusions • A framework that helps decision makers assess and report change at sites and landscapes due to human management and natural drivers • A tool (i.e. VAST) for assisting in reporting on the current status of Australia’s vegetation types - used in – National State of the Environment Report (2011) • An accounting tool (VAST-2) for reporting change and trend in the transformation of vegetation types at sites - used in – National State of the Forests Report (2013) – Regional Environmental Accounts (Wentworth Group of Concerned Scientists 2015)
  • 48. More info & Acknowledgements More information http://www.vasttransformations.com/ http://portal.tern.org.au/search http://aceas-data.science.uq.edu.au/portal/ Acknowledgements • Many public and private land managers, land management agencies, consultants and researchers have assisted in the development of VAST & VAST-2