Productivity is strongly driven by water availability, with seasonal cycles that vary with latitude. The balance between grasses and woody vegetation is mediated by grazing herbivores and fire. Improved grasslands are included elsewhere in this catalogue, as are native pastures that have been derived from other ecosystem types (see Sown pastures and Native pastures). 

Users interested in managing or measuring this category should note that it includes all of IUCN-GET biome T4 (Savannas and grasslands) except for Ecosystem Functional Group T4.4 (Temperate woodlands), which in the NCMC is included under Native forests and woodlands.
Stocks (assets)
Flows (benefits)

Area of ecosystem asset

Units

ha

Example approach

Estimate % of total land area covered by ecosystem type, multiplied by total land area

Example methods/guidance/data sources/references

Internal records

Notes

TBD – please submit your suggestion at the feedback tab in the bottom right hand corner.

Units

ha

Example approach

Estimate extent using national/state/territory map data

Example methods/guidance/data sources/references

National/state/territory maps

Notes

TBD – please submit your suggestion at the feedback tab in the bottom right hand corner.

Units

ha

Example approach

Measure extent using remote sensing in combination with ground-truthing for detailed site mapping

Example methods/guidance/data sources/references

Producer or third party GIS

Notes

TBD – please submit your suggestion at the feedback tab in the bottom right hand corner.

Species richness

Type

Variable

Units

n

SEEA ECT Class

Compositional state

Example approach

Compile list of observed species using informal visual assessment

Example methods/guidance/data sources/references

Internal records

Notes

Species richness can be defined as “The number of species within a given sample, community, or area” (IPBES). It is one way of measuring species diversity, which is itself only one aspect of overall biodiversity. The concept of richness can also be applied at other levels, from genetic (e.g. the number of distinct genotypes within a species) to the number of represented genera, families, etc. It can be useful to supplement richness information with information on abundances or relative abundance distributions.
Depending on the purpose of measurement, and the measurement resources available, the concept of species richness may be applied to certain sets (e.g. plants, mammals, birds, invertebrates, endemic species, etc.). It is important to recognise that observations from one set may not apply to other sets in the same area.
It is usually not feasible to count all species, even within a limited set, within a given area. Therefore some form of sampling method is usually applied to come up with a sample set that can feasibly be measured. Many different sampling methods may be used, and the number of samples required will depend on the measurement objectives (e.g. desired accuracy and confidence), the sample measurement method (e.g. size of sample areas), and the actual variation in the measured quantity across the given area. There are also many different measurement methods and technologies at the sample measurement level (e.g. pit traps for insects, camera traps for animals, acoustic methods for birds). There is no single ‘right’ method that applies in all circumstances. Whatever method is used, it is important that it should be applied consistently for a given site over time, and appropriate to the measurement objectives and ecosystem type. Measurements using different methods may not necessarily be comparable.

Type

Variable

Units

n

SEEA ECT Class

Compositional state

Example approach

Compile list of species using informal visual assessment and national/state/territory species distribution maps

Example methods/guidance/data sources/references

Example data sources: Atlas of Living Australia.

Notes

Species richness can be defined as “The number of species within a given sample, community, or area” (IPBES). It is one way of measuring species diversity, which is itself only one aspect of overall biodiversity. The concept of richness can also be applied at other levels, from genetic (e.g. the number of distinct genotypes within a species) to the number of represented genera, families, etc. It can be useful to supplement richness information with information on abundances or relative abundance distributions.
Depending on the purpose of measurement, and the measurement resources available, the concept of species richness may be applied to certain sets (e.g. plants, mammals, birds, invertebrates, endemic species, etc.). It is important to recognise that observations from one set may not apply to other sets in the same area.
It is usually not feasible to count all species, even within a limited set, within a given area. Therefore some form of sampling method is usually applied to come up with a sample set that can feasibly be measured. Many different sampling methods may be used, and the number of samples required will depend on the measurement objectives (e.g. desired accuracy and confidence), the sample measurement method (e.g. size of sample areas), and the actual variation in the measured quantity across the given area. There are also many different measurement methods and technologies at the sample measurement level (e.g. pit traps for insects, camera traps for animals, acoustic methods for birds). There is no single ‘right’ method that applies in all circumstances. Whatever method is used, it is important that it should be applied consistently for a given site over time, and appropriate to the measurement objectives and ecosystem type. Measurements using different methods may not necessarily be comparable.

Type

Variable

Units

n

SEEA ECT Class

Compositional state

Example approach

Compile list of species using appropriately representative sampling methods and transect surveys

Example methods/guidance/data sources/references

Various data and testing providers

Notes

Species richness can be defined as “The number of species within a given sample, community, or area” (IPBES). It is one way of measuring species diversity, which is itself only one aspect of overall biodiversity. The concept of richness can also be applied at other levels, from genetic (e.g. the number of distinct genotypes within a species) to the number of represented genera, families, etc. It can be useful to supplement richness information with information on abundances or relative abundance distributions.
Depending on the purpose of measurement, and the measurement resources available, the concept of species richness may be applied to certain sets (e.g. plants, mammals, birds, invertebrates, endemic species, etc.). It is important to recognise that observations from one set may not apply to other sets in the same area.
It is usually not feasible to count all species, even within a limited set, within a given area. Therefore some form of sampling method is usually applied to come up with a sample set that can feasibly be measured. Many different sampling methods may be used, and the number of samples required will depend on the measurement objectives (e.g. desired accuracy and confidence), the sample measurement method (e.g. size of sample areas), and the actual variation in the measured quantity across the given area. There are also many different measurement methods and technologies at the sample measurement level (e.g. pit traps for insects, camera traps for animals, acoustic methods for birds). There is no single ‘right’ method that applies in all circumstances. Whatever method is used, it is important that it should be applied consistently for a given site over time, and appropriate to the measurement objectives and ecosystem type. Measurements using different methods may not necessarily be comparable.

Type

Variable

Units

ha

SEEA ECT Class

Various

Example approach

Estimate condition using informal sampling or visual assessment

Example methods/guidance/data sources/references

Internal records; ABCD condition guides

Notes

ABCD condition score is an index composed from compositional state indicators such as density of 3P grasses (perennial, palatable and productive grasses), soil condition, presence of weed species and woody density. Each of these can be measured as an individual variable. For an example of ABCD Condition guides, visit Future Beef Land Condition.

Type

Variable

Units

ha

SEEA ECT Class

Various

Example approach

Estimate asset area in each condition state using national/state/territory map data and/or remote sensing inputs

Example methods/guidance/data sources/references

ABCD condition guides, State & Transition models

Notes

ABCD condition score is an index composed from compositional state indicators such as density of 3P grasses (perennial, palatable and productive grasses), soil condition, presence of weed species and woody density. Each of these can be measured as an individual variable. For an example of ABCD Condition guides, visit Future Beef Land Condition.

Type

Variable

Units

ha

SEEA ECT Class

Various

Example approach

Measure asset area in each condition state using site-specific remote and/or in-field sensing inputs

Example methods/guidance/data sources/references

ABCD condition score is an index composed from compositional state indicators such as density of 3P grasses (perennial, palatable and productive grasses), soil condition, presence of weed species and woody density. Each of these can be measured as an individual variable. For an example of ABCD Condition guides, visit Future Beef Land Condition.

Notes

TBD – please submit your suggestion at the feedback tab in the bottom right hand corner.

Type

Variable

Units

ha

SEEA ECT Class

Landscape and seascape characteristics

Example approach

Estimate % of total asset area within realistic radius of water, multiplied by total asset area

Example methods/guidance/data sources/references

Internal records

Notes

TBD – please submit your suggestion at the feedback tab in the bottom right hand corner.

Type

Variable

Units

ha

SEEA ECT Class

Landscape and seascape characteristics

Example approach

Estimate asset area within realistic radius of water using national/state/territory map data and/or remote sensing inputs

Example methods/guidance/data sources/references

TBD – please submit your suggestion at the feedback tab in the bottom right hand corner.

Notes

TBD – please submit your suggestion at the feedback tab in the bottom right hand corner.

Type

Variable

Units

ha

SEEA ECT Class

Landscape and seascape characteristics

Example approach

Measure asset area within realistic radius of water using site-specific remote and/or in-field sensing inputs

Example methods/guidance/data sources/references

TBD – please submit your suggestion at the feedback tab in the bottom right hand corner.

Notes

TBD – please submit your suggestion at the feedback tab in the bottom right hand corner.

Forage for livestock

Units

t DM

SEEA ES sub-type

Grazed biomass provisioning services

Intermediate or final (see SEEA-EA 2021, Table 6.3)

Final (see Notes)

Example approach

Estimate using informal sampling or visual assessment

Example methods/guidance/data sources/references

TBD – please submit your suggestion at the feedback tab in the bottom right hand corner.

Notes

Grazed biomass provisioning is technically an intermediate service provided to livestock, with the livestock then providing the final service of livestock provisioning. However, following SEEA-EA (s. 6.4, pp. 134-137) it is recommended that grazed biomass provisioning is considered as the primary ecosystem contribution.

Units

t DM

SEEA ES sub-type

Grazed biomass provisioning services

Intermediate or final (see SEEA-EA 2021, Table 6.3)

Final (see Notes)

Example approach

Estimate using satellite data or forage budget service providers

Example methods/guidance/data sources/references

TBD – please submit your suggestion at the feedback tab in the bottom right hand corner.

Notes

Grazed biomass provisioning is technically an intermediate service provided to livestock, with the livestock then providing the final service of livestock provisioning. However, following SEEA-EA (s. 6.4, pp. 134-137) it is recommended that grazed biomass provisioning is considered as the primary ecosystem contribution.

Units

t DM

SEEA ES sub-type

Grazed biomass provisioning services

Intermediate or final (see SEEA-EA 2021, Table 6.3)

Final (see Notes)

Example approach

Measure using satellite data plus formal on-site assessment including stratified sampling scheme and data collection and analysis protocol

Example methods/guidance/data sources/references

TBD – please submit your suggestion at the feedback tab in the bottom right hand corner.

Notes

Grazed biomass provisioning is technically an intermediate service provided to livestock, with the livestock then providing the final service of livestock provisioning. However, following SEEA-EA (s. 6.4, pp. 134-137) it is recommended that grazed biomass provisioning is considered as the primary ecosystem contribution.

Units

tC or tCO2

SEEA ES sub-type

Global climate regulation services

Intermediate or final (see SEEA-EA 2021, Table 6.3)

Final

Example approach

Estimate using internal records and tools/calculators

Example methods/guidance/data sources/references

E.g. LOOK-C, CoolFarm, FarmPrint (link TBC once released publicly by CSIRO) etc.

Notes

TBD – please submit your suggestion at the feedback tab in the bottom right hand corner.

Units

tC or tCO2

SEEA ES sub-type

Global climate regulation services

Intermediate or final (see SEEA-EA 2021, Table 6.3)

Final

Example approach

Estimate using using national/state/territory map data and/or remote sensing inputs

Example methods/guidance/data sources/references

TBD – please submit your suggestion at the feedback tab in the bottom right hand corner.

Notes

TBD – please submit your suggestion at the feedback tab in the bottom right hand corner.

Units

tC or tCO2

SEEA ES sub-type

Global climate regulation services

Intermediate or final (see SEEA-EA 2021, Table 6.3)

Final

Example approach

Measure using site-specific remote and/or in-field sensing inputs and/or lab testing

Example methods/guidance/data sources/references

E.g. FullCAM

Notes

TBD – please submit your suggestion at the feedback tab in the bottom right hand corner.

Forage for livestock – Agistment price

Units

$/t DM

Example approach

Multiply physical flow quantity by average agistment price for comparable pastures

Example methods/guidance/data sources/references

Producer associations, bulletin boards, etc.

Notes

TBD – please submit your suggestion at the feedback tab in the bottom right hand corner.

Units

$/t DM

Example approach

Multiply physical flow quantity by average agistment price for different types of pasture

Example methods/guidance/data sources/references

Producer associations, bulletin boards, etc.

Notes

TBD – please submit your suggestion at the feedback tab in the bottom right hand corner.

Units

$/t DM

Example approach

Multiply physical flow quantity by agistment price for specific areas grazed

Example methods/guidance/data sources/references

Producer associations, bulletin boards, etc.

Notes

TBD – please submit your suggestion at the feedback tab in the bottom right hand corner.

Units

$/tC or $/tCO2

Example approach

Multiply physical flow quantity by (average market price less average production costs)

Example methods/guidance/data sources/references

Options for determining an appropriate price include average prices from ERF auctions, estimates of the marginal cost of carbon sequestration or emissions abatement for, or a social cost of carbon based on exchange values (all for the relevant period).

Notes

Technically, the full price paid in ERF auctions per tonne of CO2e sequestered is for the combined services of carbon sequestration and retention for 100 years. However, it can be assumed that the price component for annual retention is small, therefore the ERF price approximates the current value of carbon sequestration services.

Units

$/tC or $/tCO2

Example approach

Multiply physical flow quantity by (average market price less average production costs)

Example methods/guidance/data sources/references

Options for determining an appropriate price include average prices from ERF auctions, estimates of the marginal cost of carbon sequestration or emissions abatement for, or a social cost of carbon based on exchange values (all for the relevant period).

Notes

Technically, the full price paid in ERF auctions per tonne of CO2e sequestered is for the combined services of carbon sequestration and retention for 100 years. However, it can be assumed that the price component for annual retention is small, therefore the ERF price approximates the current value of carbon sequestration services.

Units

$/tC or $/tCO2

Example approach

Multiply physical flow quantity by (market price less production costs) for specific areas

Example methods/guidance/data sources/references

Options for determining an appropriate price include average prices from ERF auctions, estimates of the marginal cost of carbon sequestration or emissions abatement for, or a social cost of carbon based on exchange values (all for the relevant period).

Notes

Technically, the full price paid in ERF auctions per tonne of CO2e sequestered is for the combined services of carbon sequestration and retention for 100 years. However, it can be assumed that the price component for annual retention is small, therefore the ERF price approximates the current value of carbon sequestration services.

Last updated: 25th July 2023