We produce a comprehensive series of pest distribution maps that show where over 120 invasive plants and animal species occur in Queensland.

PDF maps

Search for a density and distribution map of an invasive plant (weed) or invasive animal (pest).

Maps are available from the 2008 pest distribution survey series to the most recent survey. The Annual Pest Distribution Survey (APDS) species list contains all species surveyed under the APDS.

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Results
Bellyache bush 2018
Calotrope 2018
Captain Cook tree 2018
Chilean needle grass 2018
Coral cactus 2018
Chital deer 2018
Rusa deer 2018
Devil's rope pear 2018
Fireweed 2018
Gamba grass 2018
Harrisia cactus 2018
Mexican bean tree 2018
Neem tree 2018
Parthenium 2018
Prickly acacia 2018
Rats tail grass 5 species 2018
Rubbervine 2018
Siam weed 2018
Snake cactus 2018
Yellow crazy ant 2018
Rusa deer 2023
Red eared slider turtle 2025
Tilapia 2025
Hymenachne 2023
Pond apple 2023
Rubber vine 2023
Fox 2025
Hudson pear 2023
Chital deer 2023
Fallow deer 2023
Feral deer 2023
Red deer 2023
Cane toad 2012
Feral camel 2014
Feral cat 2014
Feral goat 2014
Feral horse 2014
Feral pig 2014
Common Indian myna 2014
Rabbit 2014
Wild dog 2014
Aaron's beard cactus 2023
African tulip tree 2023
African boxthorn 2023
African fountain grass 2023
Alligator weed 2023
Annual ragweed 2014
Athel pine 2023
Badhara bush 2023
Balloon vine 2012
Bellyache bush 2023
Bitou bush 2023
Blackberry 2023
Blind cactus 2023
Bridal creeper 2023
Broad-leaf privet 2023
Broad-leaved pepper tree 2023
Bunny ears cactus 2023
Cabomba 2023
Candyleaf 2023
Captain Cook tree 2023
Cat's claw creeper 2023
Cha-om 2023
Chilean needle grass 2023
Chinee apple 2023
Chinese celtis 2012
Clutch tree 2023
Common pest pear 2023
Coral cactus 2023
Devil's rope pear 2023
Drooping tree pear 2023
African boxthorn 2011
African fountain grass 2009
African lovegrass 2009
African lovegrass 2013
Aleman grass 2011
Alligator weed 2009
Alligator weed 2013
American rats tail grass 2011
Annual ragweed 2009
Annual ragweed 2013
Aristolochia dutchmans pipe 2008
Asparagus fern 2009
Athel pine 2011
Badhara bush 2008
Balloon vine 2011
Barleria 2009
Bathurst burr 2007
Bellyache bush 2011
Bellyache bush 2013
Bitou bush 2008
Bitou bush 2013
Blackberry 2011
Blackbuck antelope 2007
Bog moss 2013
Bridal creeper 2009
Bridal creeper 2013
Broad-leaved pepper tree 2009
Broad-leaved pepper tree 2013
Cabomba 2009
Cabomba 2013
Calotrope 2011
Camel feral 2011
Camphor laurel 2009
Candyleaf 2011
Cane toad 2011
Cat's claw creeper 2011
Chilean needle grass 2011
Chilean needle grass 2013
Chinee apple 2009
Chinese celtis 2011
Chinese privet 2007
Chinese tallow 2012
Chinese violet 2007
Chinese violet 2013
Chital deer 2008
Chital deer 2013
Common Indian myna 2009
Common Indian myna 2013
Common prickly pear 2013
Coral cactus 2011
Cotton tails 2011
Creeping bamboo 2008
Deer fallow feral 2011
Deer red feral 2011
Deer rusa feral 2011
Devil's rope pear 2011
Fallow deer 2008
Fallow deer 2013
Feral camel 2011
Feral camel 2013
Feral cat 2007
Feral cat 2013
Feral deer 2013
Feral donkey 2007
Feral goat 2008
Feral goat 2013
Feral horse 2007
Feral horse 2013
Feral pig 2008
Feral pig 2013
Feral water buffalo 2008
Firethorn 2011
Fireweed 2009
Fireweed 2013
Florestina 2011
Fox 2011
Fox 2013
Gamba grass 2011
Gamba grass 2013
Giant sensitive plant 2007
Giant sensitive plant 2013
Giant tropical salvia 2009
Ginger kahili white 2011
Golden dodder 2007
Grader grass 2011
Groundsel bush 2011
Harrisia cactus 2011
Harunga 2008
Honey locust 2011
Honey locust 2013
Hudson pear 2011
Hudson pear 2013
Hygrophilia 2009
Hygrophilia 2013
Hygrophilia glush weed 2009
Hymenachne 2011
Kidneyleaf mudplantain 2011
Kosters curse 2011
Kosters curse 2013
Kudzu 2009
Kudzu 2013
Lagarosiphon 2008
Lantana 2011
Leucaena naturalised 2011
Limnocharis 2011
Limnocharis 2013
Lippia 2009
Madeira vine 2011
Madras thorn 2009
Madras thorn 2013
Mesquite 2009
Mesquite 2013
Mexican bean tree 2009
Mexican bean tree 2013
Mexican feather grass 2009
Mexican poppy 2007
Miconia 2011
Miconia 2013
Mikania vine 2011
Mikania vine 2013
Mimosa pigra 2011
Mimosa pigra 2013
Mother of millions 2011
Navua sedge 2009
Navua sedge 2013
Neem tree 2011
Noogoora burr 2007
Noogoora burr 2013
Pampas grass 2007
Parkinsonia 2009
Parkinsonia 2013
Parthenium 2011
Parthenium 2013
Pencil willow 2009
Pond apple 2009
Praxelis 2009
Prickly acacia 2011
Prickly acacia 2013
Rabbit 2011
Rabbit 2013
Rats tail grass 2011
Rats tail grass 2013
Red deer 2011
Red deer 2013
Red eared slider turtle 2011
Red witch weed 2013
Rosewood 2007
Rubber vine 2011
Rusa deer 2011
Rusa deer 2013
Sagittaria 2013
Salvinia 2007
Salvinia 2009
Salvinia 2013
Senegal tea 2007
Senegal tea 2009
Senegal tea 2008
Senegal tea 2013
Siam weed 2007
Siam weed 2008
Siam weed 2009
Siam weed 2011
Siam weed 2013
Sicklepod 2008
Sicklepod 2011
Sida 2007
Singapore daisy 2009
Snake cactus 2008
Snake cactus 2009
Snake cactus 2011
St Johns wort 2011
Telegraph weed 2011
Telegraph weed 2013
Thatch grass 2012
Thunbergia 2007
Thunbergia fragrans 2008
Thunbergia fragrans 2013
Thunbergia grandiflora 2011
Thunbergia laurifolia 2011
Tobacco weed 2011
Tobacco weed 2013
Tree pear 2011
Tree privet
Tree privet
Tropical soda apple 2013
Water hyacinth 2009
Water lettuce 2009
Water lettuce 2013
Water mimosa 2009
Water mimosa 2013
White ball acacia 2009
Wild dog 2011
Wild dog 2013
Yellow bells 2013
Yellow crazy ant 2007
Yellow crazy ant 2013
Yellow ginger 2012
Yellow ginger 2013
Badhara bush 2013
Water hyacinth 2013
White ball acacia 2013

Spatial datasets and services

The Queensland Spatial Catalogue (QSpatial) contains spatial data.

The spatial data is also available via map services, which can be found within both distribution data sets by clicking on 'View metadata' and then looking for the ‘Distribution’ section.

Survey

The data for these maps comes from the pest distribution survey series, which describes the broad-scale distribution of invasive plants and animals across Queensland.

Regional mapping workshops are held across Queensland. A grid framework is laid over a map of Queensland, and pest presence or absence is mapped to the grid. If the pest is present, the distribution and density of each pest is rated by survey participants. Cell size is 10min x 10min latitude/longitude, roughly 17km x 17km.

Survey participants include:

  • local government staff
  • Biosecurity Queensland officers
  • pest management officers from Natural Resource Management groups and from other state government departments
  • individuals with knowledge of local pest locations.

The dataset is also informed by other mapping data such as Atlas of Living Australia, Feral Scan and Queensland Herbarium, and is reviewed prior to publication by pest management experts where available.

The 2022–23 survey included a density/distribution value of 'extirpated', to indicate where the pest was historically present but has been removed or locally eradicated.

  • Extirpated cells include records where the pest has not naturalised.
  • 'Absent' cells have been removed to reduce dataset size.

Species

Species include restricted and prohibited (but present) invasive plants and animals listed under the Biosecurity Act 2014, as well as several unlisted but emerging pests. See the APDS species list.

Criteria

During the survey workshops, species are assessed using 3 criteria — each has a different level of accuracy:

  • Species occurrence: if the species is present within the cell (present, absent or unknown)
  • Distribution: how much of the cell contains infestations of the species (localised or widespread)
  • Density: how thick or sparse the infestations are (occasional, common, abundant or extirpated).

Species occurrence

It is essential to know if a pest is present or absent in each cell. If the survey participants cannot say with a very high degree of accuracy whether the pest is present or absent, the cell is flagged as unknown.

This criterion has the highest level of accuracy.

Distribution

Once it has been established that a pest is present within a cell, it is necessary to indicate how much of the cell contains infestations of the species.

Infestations that occur across more than half the cell in any density are considered widespread, while those that cover less than half the cell are considered localised.

While distribution gives us a useful indication of the size of pest infestations within grid cells, its accuracy should not be relied on too heavily. Reasons for this include:

  • survey participants may have differing perceptions of distribution measures
  • survey participants may lack knowledge of particular species
  • it is difficult to accurately assess large areas of remote and impenetrable land.

This criterion has a lower level of accuracy than species occurrence, and should only be used as a guide when making state wide comparisons.

Density

Density refers to how thick or sparse pest infestations are.

The following 4 descriptors are used:

  • occasional: single plants/animals spaced apart at wide intervals
  • common: a middle measure between occasional and abundant
  • abundant: infestations that have reached their full potential and provide little opportunity for additional plants/animals to survive in that area
  • extirpated: species that were previously present but have been eradicated from an area — this should only be used where there is reasonable confidence that eradication has been achieved.

Density is a particularly difficult criterion to apply due to factors such as:

  • different species have different density measures, e.g. grasses spaced 1m apart may be considered occasional, whereas trees spaced 1m apart may be considered abundant
  • size of the species will directly influence the perception of density, e.g. many small seedlings may receive the same density rating as a few mature trees
  • some areas may be able to support higher densities of a species than other areas, due to environmental conditions.

This criterion has a lower level of accuracy than distribution. Density can be considered more accurate at the shire level than at the state level and should only be used as a guide when making state-wide comparisons.

Last updated: 20 Mar 2026