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Experimental Environmental-Economic Accounts for the Great Barrier Reef methodology

Latest release
Reference period
2017
Released
21/08/2017
Next release Unknown
First release

Explanatory notes

1 This publication should be considered experimental, as improvements to methods and new data sources continue to become available. The ABS will be seeking input from key stakeholders with the intention of addressing issues and concerns in future updates.

System of environmental-economic accounting framework

2 Detailed explanations of the SEEA and Ecosystems Services are available in Information Paper: An Experimental Ecosystem Account for the Great Barrier Reef Region, 2015 (cat. no. 4680.0.55.001). The explanatory notes for this publication contain descriptions and references for the theory and data that have contributed to this publication.

3 The ABS is seeking feedback on this publication from stakeholders on how the environmental-economic accounts for a region might be used by policy and research agencies and on any technical issues where readers have expertise. Feedback is also sought on the presentation of the accounts and the ease of use.

Scope

4 This publication brings together a range of data related to ecosystem conditions, ecosystem assets and services in the following sections:

  • Summary of findings
  • Marine extent and condition
  • Terrestrial extent and condition
  • Biodiversity
  • Employment Profile
  • Aboriginal and Torres Strait Islander peoples
  • Expenditure on Environmental Goods and Services
  • Tourism
  • Fishing and Aquaculture
  • Agriculture and Forestry
  • Water
  • Carbon
  • Regulating ecosystem services
  • Feature Article - Fitzroy.
     

Coverage and geography

5 This release presents an experimental ecosystem account for the Great Barrier Reef (GBR) Region in Queensland and the associated Natural Resource Management (NRM) regions which lie adjacent to and drain into the Great Barrier Reef Marine Park. The NRM regions are: Burdekin, Burnett Mary, Fitzroy, Mackay Whitsunday, Wet Tropics and Cape York. Note that the Cape York NRM region was divided and only the basins draining eastwards were considered formally in scope, although some data sources unavoidably cover the whole of the Cape York NRM region. Figure 1 shows a map of the study region.

Figure 1 - Study region - Great Barrier Reef region

Figure 1: Study region - Great Barrier Reef region
Image of a map of Australia showing the study region - Great Barrier Reef region. The map depicts the Great Barrier Reef terrestrial region and the Great Barrier Reef marine region. Source: NRM terrestrial regions - Department of Environment, Cape York region and NRM marine regions - Great Barrier Reef Marine Park Authority. Copyright Commonwealth of Australia, 2015

Spatial boundaries

6 The choice of spatial boundaries is a key consideration in ecosystem accounting. For the terrestrial areas of the study region, Natural Resource Management (NRM) regions and Australian Statistical Standard Geography (ASGS) are used. The NRM regions are administrative regions primarily used to report on the Australian Government's Caring for our Country investments but are also used for environmental and agricultural reporting. They are based on catchments or bioregions. The boundaries of NRM regions are managed by the Commonwealth Department of the Environment and Energy. NRM regions change occasionally as States and Territories revise their boundaries.

7 For the marine areas the choice was less clear and experience with accounting for marine systems is more limited than for terrestrial systems. For the marine areas of the Great Barrier Reef, data are collected or presented according to a number of different spatial boundaries. The boundaries identified include:

  • Great Barrier Reef Marine Park Authority (GBRMPA) assessment areas and management sectors;
  • Queensland Department of Agriculture, Fisheries and Forestry Fishery Logbook Grid;
  • Reef and Non-Reef Bioregions of the GBR Region;
  • Terrestrial NRM boundary extensions across the marine area; and
  • In-shore, Mid-shelf and Outer Reef areas of Australian Institute of Marine Science (AIMS) Long Term Monitoring Program.
     

8 The boundaries used for aggregation and output of data in this publication for the marine area are the GBRMPA management sectors and terrestrial NRM region boundary extensions across the marine area, as shown in Figures 2 and 3 below.

Figure 2 - Terrestrial and marine regions of the Great Barrier Reef region

Figure 2: Terrestrial and marine regions of the Great Barrier Reef region
Image of a map showing the Terrestrial and marine regions of the Great Barrier Reef region. The map depicts the Great Barrier Reef terrestrial region, Great Barrier Reef marine region and outside area of interest along the coastline of Australia containing Cape York, Wet Tropics, Burdekin, Mackay Whitsunday, Fitzroy and Burnett Mary. Source: NRM terrestrial regions - Department of Environment, Cape York region and NRM marine regions - Great Barrier Reef Marine Park Authority. Copyright Commonwealth of Australia, 2015

Figure 3 - Great Barrier Reef Marine Park Authority management sectors

Figure 3: Great Barrier Reef Marine Park Authority management sectors
Image of a map showing the Great Barrier Reef Marine Park Authority management sectors. The map depicts the Great Barrier Reef terrestrial region, Great Barrier Reef Marine Park Authority management sectors and Outside area of interest along the Australian coastline that contains Cape York, Wet Tropics, Burdekin, Mackay Whitsunday, Fitzroy and Burnett Mary.

9 For the purpose of a number of sections, an ASGS approximation of the GBR Catchment Area is used. The ASGS approximation of the GBR Region is formed with an amalgamation of the following Natural Resource Management Regions (NRMRs): Burnett Mary, Cape York, Fitzroy, Burdekin, Mackay Whitsunday and Wet Tropics (Figure 4). Users should note that the extent of the GBR Region has been created using whole NRMR boundaries to maintain the integrity and consistency of the ABS Statistical Geography - ASGS. These boundaries vary from the boundaries of Natural Resource Management region boundaries (compare Figures 2 and 3 with Figure 4).

10 The ASGS approximation of the GBR Region includes the entire Cape York NRMR, which is atypical in GBR-related publications as Cape York's westward-draining basins do not drain directly into the Reef marine ecosystem. The Cape York NRMR has a very small population and low economic activity relative to other GBR NRMRs, which hampers the availability and quality of economic and social data sources, and impacts on detail preservation due to confidentiality requirements. Many sections in this publication provide data based on ASGS approximation of NRMR boundaries, including:

  • Land Accounts and rainfall information in Terrestrial Extent and Condition
  • Employment and Business Profile
  • Aboriginal and Torres Strait Islander peoples
  • Tourism
  • Agriculture and Forestry
  • Water.
     

Figure 4 - Natural Resource Management Regions (NRMRs), GBR region

Figure 4: Natural Resource Management Regions (NRMRs), GBR region
Image of a map showing the Natural Resource Management Regions (NRMRs), GBR region. The map depicts the Natural Resource Management Regions (NRMRs) in Queensland, the Great Barrier Reef (GBR) region and Outside of study area. The Natural Resource Management Regions (NRMRs) in Queensland contains Cape York, Cooperative Management Area, Northern Gulf, Southern Gulf, Wet Tropics, Burdekin, Mackay Whitsundaym Desert Channels, Fitzroy, South West Queensland, Border Rivers Maranoa-Balonne, Burnett May, Condamine and South East Queensland. The Great Barrier Reef (GBR) region contains Cape York, Wet Tropics, Burdekin, Mackay Whitsunday, Fitzroy and Burnett Mary.

11 National level data from the ABS Australian System of National Accounts (cat. no. 5204.0) and Tourism Satellite Account (cat. no. 5249.0) have been broken down to a regional level using proxy data items for regional activity in tourism and agriculture.

12 For food provisioning services, the proxy item for splitting national data to NRM regions is the Gross Value of Agricultural Production. This has been derived from publications based on the ABS Agricultural Survey and Agricultural Census (see cat. nos. 7111.0 and 7501.0).

13 For cultural services from tourism, small area information on tourist expenditure was derived from the Tourism Research Australia collections: the International Visitors Survey (IVS) and National Visitors Survey (NVS). These are published by Tourism Research Australia as regional profiles using a tourism region geography which is different from NRM regions. However, the large sample size of these collections supports estimates at a smaller level which were aggregated to the required output boundaries.


14 The use of proxies means estimates are built on an assumption that the regional distribution of the proxy data item is a suitable indicator for the distribution of related economic variables. This method treats the proportional relationships between different factors of production as uniform across the country.

Classifications

15 The following classifications and manuals were used in this publication:

    ABS sources:

    Marine extent and condition

    Data sources

    • Long-Term Monitoring Program (LMTP), Australian Institute of Marine Science (AIMS)
    • Reef Water Quality Protection Plan, Report Card series, Commonwealth and Queensland governments
    • Great Barrier Reef Outlook Report, 2014, Great Barrier Reef marine Park Authority, Commonwealth of Australia
    • The Marine Monitoring Program (MMP), a collaboration of GBRMPA, CSIRO, James Cook University, the University of Queensland and Australian Institute of Marine Science (AIMS)
    • Bureau of Meteorology, eReefs Marine Water Quality Dashboard, Commonwealth of Australia.
       

    Methods

    16 The Marine Monitoring Program collects data and reports on coral, seagrass and water condition in the Great Barrier Reef Report Card Series. This is a part of Reef Water Quality Protection Plan (Reef Plan). The aim of the Reef Water Quality Protection Plan is to reduce land-based impacts on Great Barrier Reef water quality and ecosystem condition. The plan is guided by Scientific Consensus Statements compiled by experts in the field aimed at measuring and reducing the impact of terrestrial activities upon water quality and marine condition. The Scientific Consensus Statement provides the underpinning science, updated every 5 years with each new plan. A new version is about to be released in September 2017, along with a new draft Water Quality Protection Plan.

    17 Coral, water quality and seagrass condition reported in this publication was sourced from the Reef Water Quality Protection Plan, Great Barrier Reef Report Card series. Table 4 below shows the status of these marine indicators based on score ranges. Methods on how condition scores are produced are available in the Great Barrier Reef 2015 Report Card - Marine Methods. Water quality scores were not provided for Cape York and the Burnett Mary regions due to lack of available ground level data for validation.

    Table 1. Scoring system for marine quality indicators

    ScoreStatus
    1 - 20Very poor condition
    21 - 40Poor condition
    41 - 60Moderate condition
    61 - 80Good condition
    81 - 100Very good condition

    Source: Reef Water Quality Protection Plan, Report Card Series, Scoring System
     

    18 Hard coral cover, Crown-of thorns starfish (COTS) status and fish abundance data are collected as part of both the Marine Monitoring Program and the Long Term Monitoring Program of the Australian Institute of Marine Science. Data for both programmes was provided by the Australian Institute of Marine Science, with hard coral cover percentage averaged per reef and a geocode attached to each location. Reefs were then allocated to the output areas of NRM region extensions and GBRMPA Management Sectors using ArcGIS and averaged per output region using the reported mean cover. Users should note that per-reef observations comprise one of two methods used to monitor long term hard coral cover, and that "manta tow" observations (for example as summarised in GBR Condition Summary 2016-17) are not included in this dataset. Fish numbers were also averaged per output regions to generate an average abundance.

    19 For COTS outbreaks, the proportion of the incipient and active outbreaks was calculated for the total sampled sites with a outbreak status in the GBR Region.

    20 Measures for Clorophyll-a concentration, coloured dissolved organic matter, non-algal particulates and sea surface temperature (SST) and SST anomaly are collected via satellite imagery by the Bureau of Meteorology (BOM) as part of the eReefs program. Detailed methods on how this data is collected and validated are available from eReefs Marine Water Quality Dashboard. Sea surface temperature anomaly is calculated as the difference between SST values and the monthly long-term mean SST. Two climatologies are used to produce products. The first is an IMOS climatology for 2002-2011, constructed for each month using IMOS L3S 1-day night-only SST products in that period. The second climatology used is the CSIRO 1993-2003 climatology that the legacy ReefTemp (V1) system utilised. The use of both climatologies allows for comparisons of products based on different reference periods. All SSTA values appear in the range -4°C to 4°C, (Bureau of Meteorology, 2017, eReefs Marine Water Quality Dashboard, Commonwealth of Australia).

    21 The GBRMPA have published Water Quality Guidelines which determine trigger values for Chlorophyll-a concentration, suspended solids as well as a number of other water quality indicators (Table 2). The trigger values are derived to support a healthy ecosystem.

    Table 2. Guideline trigger values for selected parameters, by water body type

    ParameterOpen Coastal (a)MidshelfOffshore
    Chlorophyll-a concentration (mg-m³)0.450.450.4
    Suspended solids (mg/L)2.02.00.7

    Open coastal is also known as Inshore Marine.
    Source: Water Quality Guidelines for Great Barrier Reef Marine Park,GBRMPA, 2010, pg. 68.
     

    Data issues

    22 For coral, the Marine Monitoring Program data collection occurs between May and October each year. While a split of observations within each season to attribute condition to financial years is possible, it was deemed not in keeping with the design of their sampling methodology and thus calendar years were reported. Users are encouraged to provide feedback on the utility of a mix of calendar and financial year reporting periods.

    23 Terrestrial NRM regions extend beyond the low tide mark and into the marine portion of the account, but do not extend to the limit of the Marine Park. The extension of these boundaries, from a few kilometres offshore to the limit of the Marine Park, applies a diagonal straight line to the offshore boundary of the Marine Park. The direction of the line gives some recognition to general hydrodynamics of the waters.

    Terrestrial extent and condition - land accounts

    Data sources

    Non-ABS sources

    • Dynamic Land Cover Dataset (DLCD), Geoscience Australia (GA)
    • Land Valuations file, State of Queensland (Department of Natural Resources and Mines).
       

    Scope

    24 Users should note that the terrestrial extent of the land accounts is defined by the ABS NRMR boundaries, which are an ASGS approximation of NRM region boundaries, as discussed above.

    Methods

    25 Methods and explanatory notes for the land cover and land use tables are available from the Land Account: Queensland, Experimental Estimates, 2011-2016 (cat. no. 4609.0.55.003).

    26 The land cover by land use tables were created by combining DLCD and Land Valuations file data. The DLCD V2 beta was provided by GA as a 250 metre by 250 metre grid for Australia. Using ESRI ArcMap™, the DLCD V2 beta for 2010-11 and 2014-15 was converted to a feature using the ‘Raster to Polygon’ function. The output of this conversion was then intersected with the valuations cadastre for 2011 and 2016. The output of this tool provides a spatial layer which includes information on land use and land cover for every overlapping polygon from the input features. This process can create areas of Land Cover smaller than the resolution of the original grid. Any value of less than 6.25 hectares in area is less than the resolution of the DLCD and should be used with caution. The output layer was converted to a tabular format and a pivot table was created between land use and cover for 2011 and 2010-11 and 2016 and 2014-15 respectively. The differences between the two accounting periods were then calculated and a summary table produced.

    27 It should be noted that the Wetlands Land Cover category includes both floodplains and wetland areas. Therefore, changes between periods of flooding to relatively dry conditions can cause decreases to the wetlands estimates. A similar story applies to the decrease in the Land Cover of Trees (379,053 ha), reflecting changes from a wet, green period in 2011 to the drier 2015 period. The scope of the Land Cover component of the Land Account only covers the period between 2010-11 to 2014-15.

    28 Users should be aware that discrepancies exist between data collection dates. DLCD provides a land cover reference based on 2 years of Moderate Resolution Imaging Spectroradiometer (MODIS) data for 2010-11 and 2014-15, while land use was derived from Queensland valuations data extracted as at 30 June 2011 and 30 June 2016.

    Terrestrial extent and condition - rainfall

    Data sources

    • Bureau of Meteorology (BoM), Commonwealth of Australia.
       

    Methods

    29 A custom extract was supplied by the BoM with yearly mean annual rainfall for the six NRMR regions and the amalgamated GBR Region.

    Terrestrial extent and condition - river loads

    Data sources

    • Kroon, F.J., Kuhnert, P.M., Henderson, B.L., Wilkinson, S.N., Kinsey-Henderson, A., Abbott, B., Brodie, J.E., & R.D.R. Turner (2012) 'River loads of suspended solids, nitrogen, phosphorus and herbicides delivered to the Great Barrier Reef lagoon', Marine Pollution Bulletin, Number 65, pp.167-181.
    • Joo, M., Raymond, M.A.A., McNeil, V.H., Huggins, R., Turner, R.D.R. & S. Choy (2012) 'Estimates of sediment and nutrient loads in 10 major catchments draining to the Great Barrier Reef during 2006–2009', Marine Pollution Bulletin, Number 65, pp.150-166.
    • Turner, R., Huggins, R., Wallace, R., Smith, R., Vardy, S. & M. Warne (2012) Sediment, Nutrient and Pesticide Loads: Great Barrier Reef Catchment Loads Monitoring 2009-2010. Brisbane: Queensland Department of Science, Information Technology and Innovation (DSITI).
    • Turner, R., Huggins, R., Wallace, R., Smith, R., Vardy, S. & M. Warne (2013) Total suspended solids, nutrient and pesticide loads (2010-2011) for rivers that discharge to the Great Barrier Reef Great Barrier Reef Catchment Loads Monitoring 2010-2011. Brisbane: Queensland Department of Science, Information Technology and Innovation (DSITI).
    • Wallace, R., Huggins, R., Smith, R., Turner, R., Vardy, S. & M. Warne (2014) Total suspended solids, nutrient and pesticide loads (2011–2012) for rivers that discharge to the Great Barrier Reef – Great Barrier Reef Catchment Loads Monitoring Program 2011–2012. Brisbane: Queensland Department of Science, Information Technology and Innovation (DSITI).
    • Wallace, R., Huggins, R., Smith, R., Turner, R., A. Garzon-Garcia & M. Warne (2014) Total suspended solids, nutrient and pesticide loads (2012–2013) for rivers that discharge to the Great Barrier Reef – Great Barrier Reef Catchment Loads Monitoring Program 2012–2013. Brisbane: Queensland Department of Science, Information Technology and Innovation (DSITI).
    • Wallace, R., Huggins, R., Smith, R., Turner, R., A. Garzon-Garcia & M. Warne (2015) Total suspended solids, nutrient and pesticide loads (2012–2013) for rivers that discharge to the Great Barrier Reef – Great Barrier Reef Catchment Loads Monitoring Program 2012–2013. Brisbane: Queensland Department of Science, Information Technology and Innovation (DSITI).
    • A. Garzon-Garcia., R. Wallace., R. Huggins., R. D. R. Turner., R. A. Smith., D. Orr, B. Ferguson., R. Gardiner, B. Thomson & M. St. J. Warne (2015) Total suspended solids, nutrient and pesticide loads (2013–2014) for rivers that discharge to the Great Barrier Reef – Great Barrier Reef Catchment Loads Monitoring Program 2013–2014. Brisbane: Queensland Department of Science, Information Technology and Innovation (DSITI).
    • R. Wallace., R. Huggins., O. King, R. Gardiner., B. Thomson, D. N. Orr., B. Ferguson, C. Taylor., R. A. Smith., M. St. J. Warne., R. D. R. Turner & R. M. Mann (2016) Total suspended solids, nutrient and pesticide loads (2013–2014) for rivers that discharge to the Great Barrier Reef – Great Barrier Reef Catchment Loads Monitoring Program 2013–2014. Brisbane: Queensland Department of Science, Information Technology and Innovation (DSITI).
       

    Methods

    30 Data on river loads for catchments in the GBR Region were provided by the Queensland Department of Science, Information Technology and Innovation (DSITI). These catchments had previously been identified by the Reef Plan (2003) as high risk to the Reef in terms of contaminant exports and therefore they were recommended for priority monitoring. The rivers sampled changed over the time series. To keep a consistent time series the publication only included rivers that were monitored in every year between 2006-07 to 2014-15. The rivers included were the Burdekin River, the Burnett River, the Normanby River, the Fitzroy River, the Pioneer River, the Barron River, the North Johnstone River, the South Johnstone River, the Tully River, and the Herbert River.

    31 This publication presents data for total nitrogen (TN) and total phosphorus (TP) but users should note that these pollutants occur in particulate, dissolved inorganic and dissolved organic forms. The 2013 Scientific Consensus Statement on land use impacts on water quality and ecosystem condition notes that: "Overall, increased nitrogen inputs are more important than phosphorus inputs. Dissolved inorganic forms of nitrogen and phosphorus are considered to be of greater concern than dissolved organic and particulate forms as they are immediately bioavailable for supporting algal growth. Particulate forms of nitrogen and phosphorus mostly become bioavailable, but over longer time frames. Most dissolved organic nitrogen typically has limited and delayed bioavailability." For more detail on these key breakdowns of forms of nitrogen and phosphorus, please refer to the Reef Report Card 2015.

    32 Below is a table summarising the percentage of area monitored for the included rivers over the time period and the NRM region each river was included in.

    Table 3. Percentage of area monitored by river, GBR region, 2006-06 to 2014-15

    NRMCatchmentRiver and Site name2006-072007-082008-092009-102010-112011-122012-132013-142014-15
    BurdekinBurdekinBurdekin River at Home Hill99.999.999.99999999999100
    Burnett MaryBurnettBurnett River at Ben Anderson Barrage979797999999999999
    Cape YorkNormanbyNormanby River At Kalpowar Crossing535353535353535353
    FitzroyFitzroyFitzroy River at Rockhampton989898989898989898
    Mackay WhitsundayPioneerPioneer River at Dumbleton Pump Station808080949494949493
    Wet TropicsBarronBarron River at Myola868686898989898989
    North JohnstoneNorth Johnstone River at old Bruce Highway Bridge (Goondi)`606060404040404141
    South JohnstoneSouth Johnstone River at Upstream Centralnanana171717171717
    TullyTully River at Euramo838383868686868686
    HerbertHebert River at Ingham888888878787878787

    33 The below table summarises the area of the monitored service area, the catchment area, the basin area and the total NRM region area. The per area yields where based on the amounts of pollutant loads per km2 of the monitored surface area and separated by NRM region.

    Table 4. NRM region basin surface area and catchment surface area, GBR region

    NRMBasinNRM area km²Basin surface area km²Catchment surface area km²Monitored surface area (2014-15) km²
    BurdekinBurdekin140 834130 120129 930129 930
    Burnett MaryBurnett55 63333 20733 17932 841
    Cape YorkNormanby42824 40815 03012 920
    FitzroyFitzroy156 604142 552139 289139 159
    Mackay WhitsundayPioneer9 2301 5701 5701 466
    Wet TropicsBarron221872 1822 1491 933
    North Johnstone  1 082960
    South Johnstone 2 321545400
    Tully 1 6831 5631 450
    Herbert 9 8438 8178 584

    Biodiversity

    Data sources

    Scope

    34 For the accounts of threatened species in the GBR Region, the differing categories used in state, national and international listings were broadly concorded to form a new set of categories for the purpose of comparison between the three geographical scales. The IUCN Red List (Red List) was used for international listings of threatened fauna, the Environmental Protection Biodiversity Conservation Act (EPBC) for national listings, and the Queensland Nature Conservation Act (NCA) for state listings. This concordance table is presented in the Biodiversity section text.

    35 Species in scope for these accounts were species which occurred within the GBR Region and were deemed threatened by the NCA. Therefore, species deemed threatened by either the EPBC or the Red List but not by the NCA were not considered here. Some species listed as threatened by the NCA which occur in the GBR Region were then omitted from these species accounts for reasons such as unresolved taxonomy or dubious records; more specific detail is provided for each faunal group below.

    36 While the species in scope for these accounts are based on the NCA, they have also been examined according to the Red List in order to examine change over time. Please note that these species accounts only display the concorded threat categories to allow for comparison of the two lists. It is also worth noting that several Red List categories from 1994 have since been superseded (for example, the ‘Conservation Dependent’ category from 1994 has been considered here as ‘Near Threatened’).

    Birds

    37 All twenty-eight bird species listed by the NCA are also on the Red List. Omitted from the threatened birds accounts are the subspecies listed by NCA: the Cape York and Wet Tropics populations of the Southern Cassowary subspecies (recorded as two entries on the NCA for the same subspecies); the Double-eyed Fig Parrot has two subspecies listed only, the Coxen’s and Macleay’s Fig Parrot; the Antipodean Albatross subspecies; the Eclectus Parrot subspecies; the Yellow Chat subspecies; the Squatter Pigeon subspecies; the Crimson Finch subspecies; the Star Finch subspecies; the Rufous Owl subspecies; the Ground Parrot subspecies; the Plumed Frogmouth subspecies; the Black-throated Finch subspecies; and the Masked Owl subspecies. More information is available at Bird Life Australia: Threats to Birds.

    Mammals

    38 Twenty-six mammal species listed by the NCA are recognised by the Red List; in total the NCA lists 30 species and 7 subspecies. Omitted from the threatened mammals account are the Western Quoll subspecies; two populations of the Spotted-tailed Quoll subspecies; the Diadem Leaf-nosed Bat subspecies; the undescribed Wet Tropics subspecies of the Yellow-bellied Glider; the Long-nosed Potoroo subspecies; the Bare-rumped Sheathtail Bat subspecies; and the Percy Island Flying Fox due to unclear taxonomy and uncertain specimen identification.

    Fish

    39 Five fish species listed by the NCA are also on the Red List. Omitted from the threatened fish account however are two fish species included on the NCA list due to problematic and unresolved taxonomy. The first is the Black Stiphodon which is listed by the NCA as Stiphodon pelewensis and is considered Vulnerable. The Red List does have S. pelewensis listed as Least Concern, but it does not include Australia as part of its range; it only lists Guam, Japan, Micronesia, and Palau. The Red List has the Black Stiphodon listed instead as S. atratus which it categorises as Data Deficient; the EPBC does not list either species. The second species omitted here is Stiphodon surrufus listed by the NCA as Vulnerable; the Red List also records this species as Vulnerable, but only has it occurring in the Philippines; the EPBC does not list this species either. There was one new species added to the list, Stiphodon rutilaureus described in 1996.

    Reptiles

    40 Eighteen reptile species listed by the NCA are on the Red List. While the NCA lists 48 species and 3 subspecies of reptile, only 47 species are considered here; omitted from the threatened reptiles account are the Common Death Adder due to unclear taxonomy, two populations of the Littoral Whiptail-skink subspecies, and the Diamond Head Turtle subspecies. There was one new species added between 1994 and 2017, the Gulbaru Gecko, described in 2003.

    Frogs

    41 There are 35 species of frog listed by the NCA which are recognised by the Red List (the NCA lists 37 species in total).

    Invertebrates. While the Queensland NCA lists 8 species as threatened, only three of these species are listed on the IUCN Red List. Omitted from the threatened frog account are two invertebrate subspecies listed by the NCA; the Australian Fritillary subspecies and the Apollo Jewel subspecies.

    Employment and business profile

    Data sources

    42 The results of these studies are based, in part, on ABR data supplied by the Registrar to the ABS under A New Tax System (Australian Business Number) Act 1999 and tax data supplied by the ATO to the ABS under the Taxation Administration Act 1953. These require that such data is only used for the purpose of carrying out functions of the ABS. No individual information collected under the Census and Statistics Act 1905 is provided back to the Registrar or ATO for administrative or regulatory purposes. Any discussion of data limitations or weaknesses is in the context of using the data for statistical purposes, and is not related to the ability of the data to support the ABR or ATO’s core operational requirements. Legislative requirements to ensure privacy and secrecy of this data have been followed. Only people authorised under the Australian Bureau of Statistics Act 1975 have been allowed to view data about any particular firm in conducting these analyses. In accordance with the Census and Statistics Act 1905, results have been confidentialised used to ensure that they are not likely to enable identification of a particular person or organisation.

    Scope

    43 The employment and business profile of the GBR Catchment Area and its constituent NRM regions consists of statistics derived from administrative data sources. Regions are defined using ASGS approximations of NRM regions, as discussed above.

    Methods

    44 Administrative data sources (taxation data) were used in order to produce statistical estimates at the appropriate geography for this publication, since the Australian System of National Accounts produces national and state level estimates and collections which support the Australian System of National Accounts are not designed for estimation at sub-state regional levels. The ABS produces a partial set of Australian National Accounts: State Accounts (cat. no. 5220.0) but no country currently compiles a complete set of SNA accounts for regions of a national economy, with most countries focussing on allocating productive activities to regions. This is largely due to conceptual difficulties with the allocation of economic activity of multi-region institutional units. For more discussion about the difficulties of regional breakdowns of National Accounts, see chapter 21 - State Accounts in the Australian System of National Accounts: Concepts, Sources and Methods, 2015 (cat. no. 5216.0).

    Jobs data

    45 Jobs data for 2011-12 uses the Employee Earnings and Jobs dataset to produce 2011-12 estimates regarding specific jobs by industry. Person and business level data for 2011-2012, sourced from the Personal Income Tax data and the Expanded Analytical Business Longitudinal Database respectively, were used to construct the Integrated Dataset from which estimates were created.

    46 Analysis was conducted to assess the comparability of aggregate statistics produced from the full Integrated Dataset (experimental statistics) and those from related ABS household and business survey collections. They were found to be broadly coherent; however, differences were identified due to the differences in scope, sample design, collection methodology and processing approaches. Moreover, the Integrated Dataset is based on data collected for administrative purposes, whereas ABS collections are designed to create statistical outputs.

    47 The dataset aims to cover all employee earnings and jobs in Australia throughout the reference period of 1 July 2011 to 30 June 2012. The scope includes:

    • All persons who were an employee at any point in the reference period as recorded on either an Individual Tax Return (ITR) or an Individual PAYG summary;
    • All jobs as reported in an Individual PAYG summary during the reference period; and
    • All businesses which provided an Individual PAYG summary to an employee in the reference period.
       

    48 Employees who meet one of the following conditions are excluded from coverage:

    • Employees who did not report earnings on an ITR for any of the following reasons:
      • Did not submit an ITR for any of the reasons outlined on pages 6 and 7 of the Individual Tax Return Instructions 2012;
      • Did not submit an ITR for any other reason; or
      • Submitted an ITR but did not report their applicable earnings.
         
    • Employees who did not receive an Individual PAYG summary from an employer for any reason including:
      • They worked for cash in hand or other payments not recorded on an Individual PAYG summary;
      • They conducted illicit activities not recorded on Individual PAYG summaries; or
      • They did not supply their Tax File Number to their employer.
         

    49 There were no businesses excluded on the basis of coverage.

    50 For further information on the Integrated Dataset, refer to Information Paper: Construction of Experimental Statistics on Employee Earnings and Jobs from Administrative Data, Australia, 2011-12 (cat. no. 6311.0).

    51 Access to a one-tenth sample microdata product, coded to the Statistical Area 4 geographical level, is available as a subscription microdata service. For more information see Microdata: Employee Earnings and Jobs, Australia, 2011-12 (cat. no. 6311.0.55.001).

    Employee income and occupation data

    52 Employee counts and income by occupation for 2010-11 to 2014-15 use confidentialised Personal Income Tax data. Occupation codes are derived from self-reported main occupations on personal income tax forms. For more information on this data source see Estimates of Personal Income for Small Areas, 2011-2015 (cat. no. 6524.0.55.002).

    53 The scope of the ATO statistics presented in this release are data items relating to income standards the ABS uses for its income surveys. However the scope of the ATO statistics presented in this release exclude Government pensions, benefits or allowances. All data presented are gross income before deductions. The amounts shown are nominal, they have not been adjusted for inflation.

    54 Income presented in this publication has been categorised into income types, these categories have been devised by the ABS to closely align to ABS' definitions of income. The categories are comprised from the items displayed in the list in paragraph 54, from income tax returns (2010-11 income tax return items listed below, other years may have label changes):

    55 Employee income is the total (or gross) income received as a return for labour from an employer or from a person's own incorporated business (when they are employed by this business). This source of income includes the following data items on the individual income tax return:

    • Q1-CDEFG Total income from wage and salary (before tax and application of Medicare levy) as shown on the 'PAYG payment summary - individual non-business';
    • Q2-K Allowances, earnings, tips, director's fees, etc;
    • Q3-RH Employer lump sum payments;
    • Q4-I Employment termination payments;
    • Q9-O Attributed personal services income;
    • Q12-B Employee share schemes;
    • IT1-W Reportable fringe benefits (gross value not adjusted);
    • IT2-T Reportable employer superannuation contributions;
    • Q20- N Exempt foreign employment income; and
    • Q20-T Other net foreign employment income.
       

    56 Total Income in datacube table 8 is the sum of all income derived from Employee income as defined above, as well as Own unincorporated business, Superannuation and annuities, Investments and Other income (excluding Government pensions, benefits or allowances), which are aggregates defined in the explanatory notes of Estimates of Personal Income for Small Areas, 2011-2015 (cat. no. 6524.0.55.002).

    57 Please note that income tax return labels and names may change over time, the relevant item is used for each financial year.

    Business counts

    58 This section presents counts of businesses based on snapshots of actively trading businesses as at June 30, 2012, 2013, 2014, 2015 and 2016 from the Australian Bureau of Statistics Business Register (ABSBR). These estimates use the same methods as those used to produce Counts of Australian Businesses, including Entries and Exits (cat. no. 8165.0), extracted from the ABSBR. Most businesses in Australia need to obtain an Australian Business Number (ABN). These businesses are then included on the whole of government register of businesses, the Australian Business Register (ABR). The ABS uses information from the ABR as well as data supplied by the Australian Tax Office (ATO) to populate its internal register of businesses, the Australian Bureau of Statistics Business Register (ABSBR).

    59 The data supplied to the ABS is provided under the Taxation Administration Act 1953 and A New Tax System (Australian Business Number) Act 1999. Under the Census and Statistics Act 1905, this data can only be used for the purpose of carrying out the functions of the ABS. Further information regarding these Acts can be found at the Federal Register of Legislation website. Information about the ABR can be obtained from the ABR website and the ATO website. Legislative requirements to ensure privacy and confidentiality of these data have been followed. Only people authorised under the Australian Bureau of Statistics Act 1975 have been allowed to view data about any particular firm in conducting these analyses. Results have been confidentialised in accordance with the Census and Statistics Act 1905, to ensure that they are not likely to enable identification of a particular person or organisation.

    60 The statistical unit referred to as a 'business' consists of two types of unit. The ABSBR contains two populations are known as the profiled population and the non-profiled population. The main distinction between businesses in the two populations relates to the complexity of the business structure and the degree of intervention required to reflect the business structure for statistical purposes. The unit referred to as a 'business' thus consists of ABNs from the non-profiled population and 'Type of Activity Units' (TAUs) from the profiled population. The vast majority of units are from the non-profiled population while a small number of typically large, complex, and diverse groups of businesses are composed of TAUs in the ABSBR. For more detail on the ABSBR structure see the explanatory notes of Counts of Australian Businesses, including Entries and Exits (cat. no. 8165.0).

    61 The issues of geocoding multi location businesses are more pronounced for count data at a regional level such as the GBR Region, as multi location businesses (businesses registered under a single ABN/TAU but operating in more than one location) will only be attributed to a single location. For businesses in the non-profiled population, location is derived from the main business address. For businesses in the profiled population, location is the location with the highest employment. Therefore, for some businesses in the profiled population, main state is not necessarily the state or territory of the main business address.

    62 Counts of businesses produced from the ABSBR are comprised of actively trading businesses in the Australian economy. Actively trading businesses are:

    • TAUs from the profiled population (where activity is monitored via direct contact with the business)
    • ABNs from the non-profiled population that are actively remitting in respect of a Goods and Services Tax (GST) role.
       

    63 Limiting the scope to only businesses with a GST role means that only entities that are actively trading in goods or services are included. Business entities with a turnover below $75,000 do not have to register for GST and hence those who have not registered will not be included in these counts. Entities not considered to be actively trading in the market sector are not considered to be businesses and, as such, are also excluded from these business counts.

    64 Units on the ABSBR have been classified according to the Standard Institutional Sector Classification of Australia (SISCA) 2008, Type of Legal Organisation (TOLO) and Australian and New Zealand Industry Classification (ANZSIC) 2006. These classifications are used to determine whether a business unit is in scope of counts of Australian businesses. Entities classified to certain categories of SISCA, TOLO and ANZSIC have been excluded on this basis. A full list of exclusions is available in the explanatory notes of Counts of Australian Businesses, including Entries and Exits (cat. no. 8165.0).

    Aboriginal and Torres Strait Islander peoples

    Data sources

    Scope

    65 Regions are defined using ASGS approximations of NRM regions, as discussed above.

    Methods

    66 The ABS National Aboriginal and Torres Strait Islander Social Survey, 2014-15 (NATSISS) (cat. no. 4714.0) was conducted throughout Australia including remote areas, from September 2014 to June 2015. It provided data on participation in cultural activities, in particular, the data item 'Type of selected cultural activities participated in last 12 months' was selected as an indicator cultural services provided by the GBR ecosystem.

    Expenditure on environmental goods and services

    Data sources

    Methods

    67 Data reported in the table ‘Expenditure on Environmental Goods and Services (EGS) in the GBR Region’ are sourced from the Reef 2050 Plan – Investment Baseline Report. The investment baseline provides an overview of the level of expenditures committed to Reef activities based on an assessment of funding in 2014-15. It does not detail expenditure on every individual program that may contribute to implementation of the Reef 2050 Plan. The information provided in the report relates primarily to investment expenditures.

    68 The classification of environmental goods and services was assigned to various reported investment expenditures in accordance with the SEEA Central Framework definitions for environment specific goods and services, integrated technologies, sole-purpose products, adapted goods and end-of-pipe technologies. Expenditures were classified based on textual descriptions contained within the Baseline report.

    Data issues

    69 Data initially reported within the Baseline Investment Report has been partially modified by the ABS, in consultation with the Department of the Environment and Energy. An additional $8 million was added to the reported total for ‘Australian Government, Environment Specific Services expenditure’. The Department of the Environment and Energy advised the ABS of a reporting error omitting $8 million invested in Joint Field Management Program investments, from the reported total with the Baseline report.

    70 The Environmental Goods and Services (EGS) reported in this section do not represent total EGS Sector within the GBR. For example, contributions from CSIRO, BOM and the ABS to the 2014-15 figures are not included. Data on sole-purpose products, adapted goods and end-of-pipe technology were not available.

    71 Totals may not add up to the reported totals in the Investment Baseline due to rounding and the $8 million adjustment to the Australian Government sector.

    Tourism

    Data sources

    ABS sources:

    Non-ABS sources:

    • Tourism Research Australia, International Visitors Survey
    • Tourism Research Australia, National Visitors Survey
    • Tourism Research Australia, State Tourism Satellite Account, 2012-13
    • Tourism Research Australia, Regional Profiles, 2011-12
    • Tourism Profiles, Tourism and Events Queensland
    • Statistical Tables, Reserve Bank of Australia
    • Great Barrier Reef Marine Park Authority Environmental Management Charge (EMC).
       

    Scope

    72 Regions are defined using ASGS approximations of NRM regions, as discussed above.

    Methods

    73 Regional breakdowns of expenditure, visitor counts and visitor nights were provided for NRM regions and the GBR Catchment Area as a whole by Tourism Research Australia, derived from the International and Domestic Visitor Surveys (IVS and NVS). The NVS is a large-scale telephone survey and is designed to measure domestic and outbound travel by Australian residents. The IVS samples 40,000 departing, short-term international travellers aged 15 years and over. The survey is conducted by Computer Assisted Personal Interviewing (CAPI) in the departure lounges of the eight major international airports.

    74 Tourism estimates are derived via splitting Tourism Satellite Account estimates from a national level using regional expenditure data as a proxy. The Tourism Satellite Account (TSA) (Australian National Accounts: Tourism Satellite Account (cat. no. 5249.0) identifies tourism activity within each industry. It describes the size and economic contribution of tourism, through the measurement of tourism direct gross value added (GVA) and tourism direct gross domestic product. It also provides detailed data on tourist consumption, employment in tourism-related activities, and non-monetary information such as visitor numbers. For more information about the TSA, refer to that publication's explanatory notes.

    75 The TSA enabled the estimation of a "tourism rent" figure as defined below. As with Fishing, Aquaculture and Agriculture, economic rent for tourism was calculated in accordance with the SEEA Central Framework method for calculating resource rent. Unlike in those cases, economic rent for tourism is not considered to solely identify an ecosystem services input:

     Supply (or Australian production) of tourism products by industry at basic prices
    lesstaxes on tourism products
    plussubsidies on tourism products
     Input (or operating) costs for tourism connected businesses
    lessintermediate consumption at purchasers' prices
    lesscompensation of employees
    lessother taxes on production for tourism connected industries
    plusother subsidies on production for tourism connected industries
    equalsGross operating surplus and mixed income (SNA basis) for tourism connected businesses
     User costs of produced assets
    lessconsumption of fixed capital for tourism connected industries (unpublished data)
    plusreturn to produced assets for tourism connected industries (unpublished data)
     (Large business lending rate (variable) rate times net capital stock for tourism connected businesses)
     Resource rent for tourism connected businesses
    equalsdepletion + net return to non-produced (environmental) assets for tourism connected businesses

    Sources:
    Australian System of National Accounts (cat. no. 5204.0) (published and unpublished data)
    Australian National Accounts: Tourism Satellite Account (cat. no. 5249.0) (published and unpublished data)
    Statistical Tables, Reserve Bank of Australia
     

    76 Tourism rent was first calculated for tourism at the national level, and then the share of tourism production in the GBR Region was estimated. Tourism Research Australia's State Tourism Satellite Account was the major data source - this publication provided state level estimates based on the International Visitors Survey, National Visitors Survey, ABS Tourism Satellite Account and ABS State Accounts data. It includes estimates of key variables in tourism such as Direct Tourism Consumption, Tourism Gross Value Added and employment counts.

    77 Offshore tourism expenditure was measured via data on the Environmental Management Charge for entry to the GBR Marine Park. This represents the exchange value of the offshore Reef area, showing what people actually pay to access the area's ecosystem services.

    Data issues

    78 Regional breakdowns of National Accounts and Tourism Satellite Account data used to calculate GBR Region tourism estimates could be improved with the availability of small-area estimates of Gross Value Added, Compensation of Employees, Capital Stock etc. The future availability of such data would allow for individual regional ratios to be estimated for different variables, instead of the same ratio being used for all data items.

    Isolating ecosystem services inputs in monetary terms

    79 It is conceptually possible, but very challenging in practice, to assign shares of tourism expenditure activity to ecosystem inputs.

    80 Tourism Research Australia publishes information by tourist region on experiences by visitors. These regions use a different spatial boundary to the NRM regions used in this publication. While this makes comparisons difficult it does provide information about what share of visitors to a region are having experiences of different kinds (i.e. Culture and heritage, Nature based, Indigenous, and Food and wine). For example, in the Whitsundays tourist region (which is smaller than the Mackay Whitsunday NRM), 40% of domestic overnight visitors had 'Nature based' experiences and 75% had 'Food and wine' experiences. For international visitors, the shares were 96% having 'Nature based' experiences and 95% 'Food and wine' experiences, as well as 43% having Indigenous experiences.

    81 It would be difficult to determine from information about experiences, a monetary share for each experience, and therefore difficult to assign a share of the overall 'tourism rent' estimate for ecosystem services. Experience categories aren't mutually exclusive, and particular experiences during visits may not be the motivating factor behind a specific choice of destination or visit. For example, a visitor may choose to come to the Whitsundays primarily to visit beaches and go diving, and thus be there specifically to enjoy the cultural ecosystem services the region provides. Regardless, they will also presumably have specific culinary experiences that are probably attributable to the ecosystem service. Calculating each share of the ecosystem service could be undertaken based on visitor counts or by expenditure information if data were available at sufficient detail about the primary motivator for visitors. Such a collection may be available for some specific areas of special interest (for example, some work for valuing National Parks is based on surveys of this nature), but is unlikely to be collected in a systematic way across large areas due to resource and provider burden constraints.

    The Environmental Management Charges (EMC) relationship to other sources of ecosystem services valuation

    82 The EMC is a charge that is independent of services offered by operators within the park, and is wholly directed at park management. It is an observed market transaction, and represents a payment that upholds the ecosystem's ability to provide a tourism experience. Therefore, as noted above, the EMC can be attributed to the region as a measure of the value of the cultural ecosystem service of tourism.

    83 The EMC is a subset of total tourist expenditure as reported in visitor surveys. This is because expenditure information is sourced from visitor surveys and operators will generally pass on the charge to customers.

    84 The question of whether the EMC is embedded within estimates of Tourism Rent is more complicated. In concept, the EMC should be counted as an additional source of value to the estimate of ecosystem services embedded in tourism economic rent. The reason is that the EMC appears in the Australian System of National Accounts as a tax on products, which is deducted from the calculation of gross operating surplus before estimates of rent are derived. It should not therefore form part of the additional value extracted from tourist attractions.

    85 In practice, the EMC is recorded in tourism surveys as noted above. This increases total expenditure by tourists and impacts on the expenditure ratios used as a proxy to apportion tourism activity regionally. Thus, the EMC will give the GBR Region a slightly higher share of national expenditure than it otherwise would have, due to this increased cost to tourists. The size of the impact is expected to be negligible.

    86 The Great Barrier Reef Marine Park Authority (GBRMPA) is responsible for managing the Great Barrier Reef Marine Park and this charge. Agency funding to GBRMPA other than the EMC is excluded as a source of valuation of the cultural service of tourism but is included within the Expenditure on Environmental Goods and Services estimates in this publication. The EMC is, however, as noted in the section text, counted as both a valuation of cultural ecosystem services in tourism, and also as contributing to Expenditure on Environmental Goods and Services within that section.

    Fishing and aquaculture

    Data sources

    • Queensland Department of Agriculture and Fisheries (QLD DAF), State government
    • Michael Heidenreich (2016) ‘Ross Lobegeiger Report to Farmers, Aquaculture production summary for Queensland 2015-16’ Queensland Department of Agriculture and Fisheries (QLD DAF) (2016).
       

    Methods

    87 Data reported in tables for fishing and aquaculture were delivered in aggregate form, customised to NRM boundaries by the Queensland Department of Agriculture and Fisheries (QLD DAF).

    88 Fishing production data were acquired through the QFISH data portal of QLD DAF. The change in physical production for each grid cell between 2000 -01 and 2015-16 was calculated and mapped in ArcGIS using grid boundaries acquired from QSpatial - the Queensland Government Spatial Catalogue. Resource rent was not calculated for Fishing and Aquaculture in 2015-16 as ABS supply-use data that feed into the resource rent estimate were not available at the time or release.

    89 Data for the ANZSIC06 Subdivision of Fishing, Hunting and Trapping was used to calculate estimates for Fishing. The Hunting and Trapping component of Gross Operating Surplus for this Subdivision was considered so small as to be immaterial to the results of the calculations ecosystem input calculations for Fishing.

    90 The box below summarises the calculations performed to derive estimates of the Ecosystem Service (Resource Rent) for ANZSIC06 Subdivision 04 Fishing, Hunting and Trapping:

     Supply (or Australian production) by ANZSIC06 Subdivision 04 Fishing, Hunting and Trapping at basic prices
    lesstaxes on fishing products
    plussubsidies on fishing products
     Input (or operating) costs for ANZSIC06 Subdivision 04 Fishing, Hunting and Trapping
    lessintermediate consumption at purchasers' prices
    lesscompensation of employees
    lessother taxes on fishing production
    plusother subsidies on fishing production
    equalsGross operating surplus and mixed income (SNA basis) for ANZSIC06 Subdivision 04 Fishing, Hunting and Trapping
     User costs of produced assets for ANZSIC06 Subdivision 04 Fishing, Hunting and Trapping
    lessconsumption of fixed capital for the fishing industry (unpublished data)
    plusreturn to produced assets for the fishing industry (unpublished data)
     (RBA large business lending rate (variable) times net capital stock for the fishing industry)
     Resource rent for ANZSIC06 Subdivision 04 Fishing, Hunting and Trapping
    equalsdepletion for the fishing industry
    plusnet return to non-produced (environmental) assets for the fishing industry

    Sources - Fishing
    Australian System of National Accounts (cat. no. 5204.0) (published and unpublished data)
    Australian National Accounts: Input-Output Tables (cat. no. 5209.0.55.001) (published and unpublished data)
    Statistical Tables, Reserve Bank of Australia
    Queensland Department of Agriculture and Fisheries (QLD DAF) (unpublished data)
     

    91 Data on aquaculture production was only available for the total GBR Region - there was no regional split. The value estimates for 2012-13 to 2015-16 were derived by using regional and state estimates of physical production. A further adjustment was made to account for the difference between the value per tonne of the regions, both inside and outside the GBR Region.

    92 The box below summarises the calculations performed to derive estimates of the Ecosystem Service (Resource Rent) for ANZSIC06 Subdivision 02 Aquaculture:

     Supply (or Australian production) by ANZSIC06 Subdivision 02 Aquaculture at basic prices
    lesstaxes on aquacultural products
    plussubsidies on aquacultural products
     Input (or operating) costs for ANZSIC06 Subdivision 02 Aquaculture
    lessintermediate consumption at purchasers' prices
    lesscompensation of employees
    lessother taxes on aquacultural production
    plusother subsidies on aquacultural production
    equalsGross operating surplus and mixed income (SNA basis) for ANZSIC06 Subdivision 02 Aquaculture
     User costs of produced assets for ANZSIC06 Subdivision 02 Aquaculture
    lessconsumption of fixed capital for the aquacultural industry (unpublished data)
    plusreturn to produced assets for the aquacultural industry (unpublished data)
     (RBA large business lending rate (variable) times net capital stock for the aquacultural industry)
     Resource rent for ANZSIC06 Subdivision 02 Aquaculture
    equalsdepletion for the aquaculture industry
    plusnet return to non-produced (environmental) assets for the aquacultural industry

    Sources - Aquaculture
    Australian System of National Accounts (cat. no. 5204.0) (published and unpublished data)
    Australian National Accounts: Input-Output Tables (cat. no. 5209.0.55.001) (published and unpublished data)
    Statistical Tables, Reserve Bank of Australia
    Queensland Department of Agriculture and Fisheries (QLD DAF) (unpublished data)
     

    Agriculture and forestry

    ABS sources

    Non-ABS sources

    Scope

    93 The scope for the 2015-16 Agricultural Census included all agricultural businesses undertaking agricultural activity recorded on the Australian Bureau of Statistics’ Business Register with an Estimated Value of Agricultural Operations (EVAO) of $40,000 or greater. This was a change from previous ABS rural environment and agricultural collections including the Agricultural Census, where agricultural businesses with an EVAO of $5,000 or greater were used. As the $5,000 scope has a longer time series it was used for the 2007-08 to 2014-15 estimates. The 2015-16 tables used the new $40,000 scope. The 2014-15 reference year can be used to assess how the scope change may have impacted overall estimates, as data on the gross value from both scopes are presented in the Data Cube.

    94 Regions are defined using ASGS approximations of NRM regions, as discussed above.

    Methods

    95 GBR Region estimates for agricultural production were sourced from the ABS Agricultural Census and Agricultural Surveys. The valuation of ecosystem services input via the resource rent method was calculated from National Accounts data compiled for the whole of Australia, as described above.

    96 Meat production in tonnes for cattle, sheep, swine and chickens, where modelled, using the regional VACP as a proxy to derive regional physical production estimates from state estimates. The same method was used to calculate physical milk production.

    97 Milk production was converted to tonnes using a conversion factor of 1 litre to 1.03 kilograms. Egg production was converted into tonnes using 650 grams for every dozen eggs. These estimates form a component of the physical in 'Other Livestock Products'.

    98 There were some missing physical production numbers in the 'other' categories of different commodity groups. The 'other' categories were derived taking the average yield of the other commodities in its commodity group. This method was used to calculate other broadacre crops, other vegetables and other orchard fruit, other stone fruit, other citrus fruit and other fruit not elsewhere classified. This forms a component of the horticulture and “Other Broadacre Crops excluding Sugar and Cotton” estimate.

    99 The box below summarises the calculations performed to derive estimates of the ecosystem service input via the resource rent method for ANZSIC06 Subdivision 01 Agriculture:

     Supply (or Australian production) by ANZSIC06 Subdivision 01 Agriculture at basic prices
    lesstaxes on agricultural products
    plussubsidies on agricultural products
     Input (or operating) costs for ANZSIC06 Subdivision 01 Agriculture
    lessintermediate consumption at purchasers' prices
    lesscompensation of employees
    lessother taxes on agricultural production
    plusother subsidies on agricultural production
    equalsGross operating surplus and mixed income (SNA basis) for ANZSIC06 Subdivision 01 Agriculture
     User costs of produced assets for ANZSIC06 Subdivision 01 Agriculture
    lessconsumption of fixed capital for the agricultural industry (unpublished data)
    plusreturn to produced assets for the agricultural industry (unpublished data)
     (RBA large business lending rate (variable) times net capital stock for the agricultural industry)
     Resource rent for ANZSIC06 Subdivision 01 Agriculture
    equalsdepletion for the agricultural industry
    plusnet return to non-produced (environmental) assets for the agricultural industry

    Sources - Agriculture
    Australian System of National Accounts (cat. no. 5204.0) (published and unpublished data)
    Australian National Accounts: Input-Output Tables (cat. no. 5209.0.55.001) (published and unpublished data)
    Statistical Tables, Reserve Bank of Australia
    Value of Agricultural Commodities Produced, Australia (cat. no. 7503.0)
    Agricultural Commodities, Australia (cat. no. 7121.0)
     

    Forestry

    100 Forestry production data for the GBR Region was not available for this publication. Therefore, regional employment and income data was used as a proxy to calculate production and value estimates with Queensland production estimates from the Australian Bureau of Agricultural Resource Economics and Sciences. The employment and income data used was only available from 2010-11 to 2014-15.

    101 The box below summarises the calculations performed to derive estimates of the Ecosystem Service (Resource Rent) for ANZSIC06 Subdivision 03 Forestry and Logging:

     Supply (or Australian production) by ANZSIC06 Subdivision 03 Forestry and Logging
    lesstaxes on forestry and logging products
    plussubsidies on forestry and logging products
     Input (or operating) costs for ANZSIC06 Subdivision 03 Forestry and Logging
    lessintermediate consumption at purchasers' prices
    lesscompensation of employees
    lessother taxes on forestry and logging production
    plusother subsidies on forestry and logging production
    equalsGross operating surplus and mixed income (SNA basis) for ANZSIC06 Subdivision 03 Forestry and Logging
     User costs of produced assets for ANZSIC06 Subdivision 03 Forestry and Logging
    lessconsumption of fixed capital for the forestry and logging industry (unpublished data)
    plusreturn to produced assets for the forestry and logging industry (unpublished data)
     (RBA large business lending rate (variable) times net capital stock for the forestry and logging industry)
     Resource rent for ANZSIC06 Subdivision 03 Forestry and Logging
    equalsdepletion for the forestry and logging industry
    plusnet return to non-produced (environmental) assets for the forestry and logging industry

    Sources - Forestry and Logging
    Australian System of National Accounts (cat. no. 5204.0) (published and unpublished data)
    Australian National Accounts: Input-Output Tables (cat. no. 5209.0.55.001) (published and unpublished data)
    Statistical Tables, Reserve Bank of Australia
     

    Water

    Data sources

    ABS sources

    Non-ABS sources

    Scope

    102 Regions are defined using ASGS approximations of NRM regions, as discussed above.

    Methods

    103 Estimates of water use in agriculture in the GBR Region are based on data available at other geographical levels in the publications Gross Value of Irrigated Agricultural Production (cat. no. 4610.0.55.008) (GVIAP) and Water Use on Australian Farms (cat. no. 4618.0). Water Use on Australian Farms contains estimates from data items relating to water collected in the Agricultural Census and the Rural Environment and Agricultural Commodities Survey.

    104 GVAP is the value placed on recorded production of agricultural commodities at the wholesale prices realised in the market place. It is also referred to as the Value of Agricultural Commodities Produced (VACP). GVIAP refers to the gross value of agricultural commodities that are produced with the assistance of irrigation. The gross value of commodities produced is the value placed on recorded production at the wholesale prices realised in the marketplace. This definition of GVIAP does not refer to the value that irrigation adds to production, i.e. the 'net effect' that irrigation has on production. GVIAP is not a measure of productivity, so extreme care must be taken if attempting to use GVIAP to compare different commodities. Rather, it is a more effective tool for measuring changes over time or comparing regional differences in agricultural production.

    105 Estimating the value that irrigation adds to agricultural production is difficult. This is because water used to grow crops and irrigate pastures comes from a variety of sources. In particular, rainwater is usually a component source of the water used in agriculture. However, the timing and location of rainfall affects the amount of additional irrigation water required. Other factors such as evaporation and soil moisture also affect irrigation water requirements. These factors contribute to regional and temporal variations in the use of water for irrigation. In addition, water is not the only input to agricultural production from irrigated land - fertiliser, land, labour, machinery and other inputs are also used. Quantifying the separate contribution that these factors make to total production is not currently possible.

    106 Estimates of GVIAP are based on production, commodity price and water use data, which are derived from ABS agricultural censuses and surveys, as well as from non-ABS sources, including marketing authorities and industry sources. For detailed information on data sources, scope and coverage of ABS sources used in GVIAP, please refer to the Explanatory Notes contained in the following publications:

    107 Estimated holding of water storage in large urban and rural dams was taken from the Bureau of Metrology (BoM) Regional Water Information data set. The median of each volume holding range was taken and used to derive total storage estimates from the total capacity of dams.

    Carbon

    Data sources

    • Department of the Environment and Energy, Commonwealth of Australia.
       

    Methods

    108 The Department of the Environment and Energy (DoEE) prepared carbon stock estimates for the GBR Region using the same systems and methods used in the National Inventory Report 2015 Volume 2. These methods are consistent with guidelines of the Intergovernmental Panel on Climate Change (IPCC).

    109 Land types are derived from Landsat data using the following criteria as definitions: A forest is defined as being ≥2m in height and ≥20% canopy cover. Where a settlement or wetland is forested using this criteria, it is classified as forest, unless it is a mangrove. Mangroves are identified using the same height and canopy criteria along coastal areas. Tidal marshes are principally coastal wetlands that do not meet the definition of a forest. Areas of human settlement and inland wetlands that are not a forest are treated as grasslands for the purposes of this account, and may include sparse woody vegetation below the threshold for a forest.

    Data issues

    110 The geographical boundaries used for the GBR Region in this Biocarbon Stock Account are different to those used in the GBR feature article in the ABS Land Account: Queensland, Experimental Estimates, 2011-2016 publication. The Land Account uses ABS Natural Resource Management Regions (NRMRs), which are part of the Australian Statistical Geography Standard (ASGS), as the reporting boundaries. The ASGS boundaries were used to ensure consistency between other social and economic datasets produced by the ABS. The NRMRs are Mesh Block approximations of the DoEE NRM regions. The map below shows the difference in spatial boundaries between the ABS NRMR boundaries and the DoEE NRM boundaries.

    111 Land cover data reported in this Biocarbon Stock Account and the ABS Land Account: Queensland, Experimental Estimates, 2011-2016 were derived from two different data sources. The Land Account uses Geoscience Australia's (GA) Dynamic Land Cover Dataset (DLCD) v2.1 classifications and the data from the Land Account should not be used to draw parallels to the carbon stocks presented here.

    Regulating ecosystem services

    Data sources

    • The Great Barrier Reef Marine Park Authority (GBRMPA) unpublished.
       

    Scope

    112 Coastal ecosystems and land uses that are used for the determination of regulating services are defined in the Coastal Ecosystems Assessment Framework 2012, GBRMPA. The GBRMPA use Regional Ecosystem mapping from the Queensland Herbarium, Queensland Department of Science, Information Technology and Innovation (DSITI) for the determination of coastal ecosystems. Queensland Land Use Mapping (according to the Australian Land Use Mapping Classification), from the DSITI were used for the determination of land uses within the region. Figures of these coastal ecosystems and land uses are available in the regulating ecosystem services chapter.

    113 Users should note that NRM region boundaries were used for this section and not the ABS NRMR approximations.

    Methods

    114 The GBRMPA prepared regulating capacity estimates. The capacity of NRM regions to provide ecosystem services is estimated using the Ecological Process Calculator developed by the GBRMPA. This model generates scores for a range of physical, biological and biogeochemical processes. These scores provided the basis for comparisons between pre-European (pre-clear) and contemporary (post-clear) reference periods. Within each NRM region, assessments of identified ecological processes are undertaken by local experts and ecologists for each type of coastal ecosystem and land use. These assessments along with the extents of the respective coastal ecosystems and land uses form the basis of a score which represents the capacity to provide each regulating service.

    Data limitations

    115 The Ecological Process Calculator does not consider broader landscape processes, such as river flows, rainfall, upstream and downstream impacts, extreme weather events or alterations to hydrological connectivity. Other components in the landscape, especially underlying soils and geology can have a significant impact on the capacity for a catchment to provide ecological processes (footnote 1).

    116 Ideally, estimates of ecosystem services generated are linked to the beneficiaries or users of ecosystem services; however these beneficiaries may not be located in the same spatial area as the ecosystem generating the services. This is especially true of regulating services, where for example the beneficiaries may be located in urban areas while the services are generated in ecosystems located away from these areas. For example, a water catchment may be located well away from the urban area it serves. However, the experimental estimates contained in this release are unable to link regulating services with the beneficiaries of these services due to the present lack of detailed supporting information required to make these linkages.

    117 The ABS uses the internationally recognised System of Environmental-Economic Accounting 2012 – Experimental Ecosystem Accounting (SEEA EEA) to guide its development of ecosystem accounting. This framework focuses on the integration of biophysical data, the tracking of changes in ecosystems, and linking those changes to human and economic activity. For this reason, SEEA EEA (footnote 2) denotes two broad categories of ecosystem flows. First are those flows within and between ecosystem assets which reflect ongoing ecosystem processes and which are referred to as intra- and inter-ecosystem flows.

    118 Second, through economic and other human activity, people take advantage of the multitude of resources and processes generated by ecosystem assets. Collectively, these flows to people are referred to as ecosystem services. Thus, SEEA EEA includes as ecosystem services, only those flows that deliver benefits to economic and other human activity. For example, a regulating service of hazard reduction is recorded as an ecosystem service in SEEA EEA only if humans are exposed to the hazard and stand to benefit from its reduction. Further, this ecosystem service may increase over time due to an increasing human population (and commensurate increasing human benefits) even where no change to the physical characteristics of the hazard reduction has occurred.

    119 The experimental estimates of regulating ecosystem services contained in this release include intra- and inter-ecosystem flows and therefore do not strictly follow recommendations of SEEA-EEA. At present there is a lack of detailed supporting information needed to follow this recommendation.

    Footnotes

    Glossary

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    Quality declaration

    This publication should be considered experimental, as improvements to methods and new data sources continue to become available. The ABS will be seeking input from key stakeholders with the intention of addressing issues and concerns in future updates.

    Institutional environment

    Relevance

    Timeliness

    Accuracy

    Coherence

    Interpretability

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    Bibliography

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    Abbreviations

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