From 1975 to 2000, biological surveys were undertaken of the many islands around the coast of Tasmania and Bass Strait. Most sites were visited only once. There were varying methods to estimate the population size of the seabirds at each site, ranging from counting active nests, burrows and in some cases from the size of the site along with a measure of the nest or burrow densities. Further details of the geology and vegetation cover are in the cited reference Brothers, Nigel, Pemberton, David, Pryor, Helen and Halley, Vanessa (2001) Tasmania's offshore islands: seabirds and other natural features. Tasmanian Museum and Art Gallery. ISBN 072464816X xii, 643

Human Settlement Areas or HSAs are defined as where people live or work. This dataset has been developed by the State Fire Management Council or SFMC to define the extent and name of each HSA for the purposes of bushfire mitigation planning. The HSA dataset intentionally seeks to identify "clusters" of population density and does not map every residence or workplace in Tasmania. While all efforts have been taken to ensure the accuracy of this dataset, there may be errors and/or omissions in the data presented. Users of this product are advised to independently verify data for accuracy and completeness prior to use. The HSA dataset is currently maintained by the Fuel Reduction Unit, Tasmania Fire Service. Other Keywords: Communities, Community

This dataset present the location of premises which hold liquor licences in Tasmania as of August 2015.

The liquor licence layer is built from data supplied by the Liquor and Gaming Branch, Department of Treasury and Finance. The data is broken into liquor licence category and provides the premises licence number, name and effective date.

For more information please visit the Land Information System Tasmania (LIST).

Please note that this dataset is a snapshot of the LIST taken in June 2019.

Point in time snap shot of the Tasmanian prison population as at 6 June 2017 by legal status, security classification, Indigenous status, and country of birth.

The dataset contains length frequency information for abalone species, collected in all Tasmanian state waters from 1988.

In this study, we quantified the impacts of recreational hunting on a population of non-native fallow deer (Dama dama) on a private conservation reserve in Tasmania, Australia (2020-2022). We used motion-sensitive cameras to estimate seasonal deer population density. Recreational hunters recorded their hunting effort (date and duration of hunts), deer seen, and deer killed, and used a GPS to record where they hunted.This dataset includes all the files and R-code to run the analyses.

Genomic insights into the critically endangered King Island scrubtit

https://doi.org/10.5061/dryad.12jm63z66

The dataset comprises:

1) the raw .vcf file "CAGRF220911987_GA.vcf"

2) a csv of the final filtered dataset used for genomic analysis within the manuscript: "scrubtit_genos_140623.csv". Rows contain samples and columns contain SNPs

3) a csv of sample metadata: "Sampinfo_ross_check.csv". Rows contain samples and columns contain metadata

4) an annotated R- script for repeat analysis

Description of the data and file structure

2) a csv of the final filtered dataset used for genomic analysis within the manuscript: "scrubtit_genos_140623.csv". Rows contain samples and columns contain SNPs

column 1: sample ID (as per 'sample1') in sample medtadata (column 1).

columns 2-5239: SNP ids

Missing data code: NA

3) a csv of sample metadata: "Sampinfo_ross_check.csv". Rows contain samples and columns contain metadate

column 1-...

Point in time series of the Tasmanian Prison Population by legal status, security classification, Indigenous status, and country of birth.

Disjunct populations are those that have become physically separated, resulting in minimal or no gene flow between them. This separation could be caused by a break in a formerly continuous distribution or by long-distance dispersal (jump dispersal) over a barrier. Often, a disjunction takes the form of a larger parent or core population and a smaller outlier, or outliers, but in some instances the disjunct populations are of about the same size.

This database is a digital polygon coverage of Tasmania (captured at 1:500 000 scale) detailing places where concentrations of disjunct flora populations occur. Disjunct flora polygons are given a unique code, the relevant National Estate values and criteria, and cleared land status.

All sites in this coverage are classified according to National Estate criterion A1: Importance in the evolution of Australian flora, fauna, landscapes or climate.

This is an archived dataset jointly owned by the Commonwealth and the Tasmanian Governments under the Tasmania-Commonwealth Regional Forest Agreement (RFA) data agreement of 8th November 1997.This data is available to the public under licence from the Department as part of the Commonwealth Spatial Data Access and Pricing Policy.

Any reproduction of this dataset must carry the following statement: Copyright Commonwealth of Australia and Tasmanian Government 1998. Departmental Deed

Sampling of commercial mid-water trawl catches for small pelagics from waters adjacent to Tasmania have yielded an extensive biological dataset in space and time. As a minimum, size composition information is available from most commerical shots undertaken between 2002 and 2006, referenced with operational information (location, depth and catch weight). Subsamples of the key small pelagics, redbait, jack mackerel and blue mackerel, were examined for size, sex, gonad weight and stage and otoliths have been retained for age determination. Further data has been collected since the initial investigation.

This record provides an overview of the NESP Marine and Coastal Hub Research Plan 2023 project "Delineation and estimation of the Maugean skate population in Macquarie Harbour, Tasmania". For specific data outputs from this project, please see child records associated with this metadata. The endangered Maugean skate is now only found in Macquarie Harbour, which has a long history of environmental degradation, and recent research suggests that the population may be declining. However, our current abundance estimation tools are inadequate to determine population status and a new method is needed. This project will use next generation genetic sequencing and novel imaging survey tools to delineate and estimate the size of the Macquarie Harbour Maugean skate population to inform conservation strategies. There is also a need to investigate the evolutionary potential of the Maugean skate to adapt to the changing environmental conditions. This research will address these needs by examining the skate's genetic diversity and fine-scale population structure using whole genome typing, and developing a high-resolution dataset of genome-wide single nucleotide polymorphisms. This genetic approach will help inform adaptive management strategies, such as captive breeding, and enhance our ability to detect differentiated lineages with adaptive potential. Outputs • Tissue sampling results and genome-wide population genetic structure [dataset] • Adaptive resolution imaging sonar (ARIS) and lidar water column scanning [dataset] • Final project report [written]

Perameles gunnii is an endangered terrestrial marsupial on mainland Australia, but comparitively widespread in Tasmania. No research has yet aimed to assess population structure or genetic diversity in this state until now, where we assess genomic similarity and diversity using a ddRAD dataset of 117 Tasmanian animals. First, we assigned all samples to populations (or demes), according to their coordinate metadata and known geographic boundaries. We then test this hypothesis with population-ignorant genetic clustering analyses: PCA, Structure, and fineRADstructure. Validating seven (7) populations, four in a distinct "northern" group and three in a "southern" groupd, and also identify two populations displaying significant and unexpected isolation. We then looked to directly assess migration between these populations find little evidence, although genetic similarity within nothern and southern groups suggests that gradual mixing is ongoing within these areas. We assessed autosomal heter..., , , # Perameles gunnnii Tasmania 2008-2011

Genotypic data and metadata for 117 Tasmanian Perameles gunnii, sampled from the wild between 2008-2011, and 17 Victorian Perameles gunnii from Mt Rothwell Biodiversity Interpretation Centre, sampled from 2016.

Samples provided as demultiplexed raw reads in .fq.gz format, and a draft scaffold genome is provided in .fa format.

Metadata contains incomplete coordinate data approximated to two (2) decimal places to protect a sensitive species, as per The Global Biodiversity Information Facility (Category 3 sensitive species). Where exact coordinate data was unavailable, approximate data was inferred from the recorded locality, and whether coordinates are exact or approximate is indicated in the metadata. Metadata also contains incomplete sex data; where sex was unknown, NA has been used to indicate this.

Additionally, publicly available, post-1990 sighing data for P. gunnii in Tasmania is available in ALA. Also, the distribution map figure ...

Knowledge of dispersal in a species, both its quantity and the factors influencing it, are crucial for our understanding of ecology and evolution, and for species conservation. Here we quantified and formally assessed the potential contribution of extrinsic factors on individual dispersal in the threatened Tasmanian population of wedge-tailed eagle, Aquila audax. As successful breeding by these individuals appears strongly related to habitat, we tested the effect of landscape around sampling sites on genetic diversity and spatial genetic variation, as these are influenced by patterns of dispersal. Similarly, we also tested whether habitat intervening sampling sites could explain spatial genetic variation. Twenty microsatellites were scored, but only a small proportion of spatial genetic variation (4.6%) could be explained by extrinsic factors, namely habitat suitability and elevation between sites. However, significant clinal genetic variation was evident across Tasmania, which we explain by intrinsic factors, likely high natal philopatry and occasional long-distance dispersal. This study demonstrates that spatial genetic variation can be detected in highly vagile species at spatial scales that are small relative to putative dispersal ability, although here there was no substantial relationship with landscape factors tested.

The southern rock lobster, Jasus edwardsii, shows clear phenotypic differences between shallow water (red coloured) and deeper water (pale coloured) individuals. Translocations of individuals from deeper water to shallower waters are currently being trialled as a management strategy to facilitate a phenotypic change from lower value pale colouration, common in deeper waters, to the higher value red colouration found in shallow waters. Although panmixia across the J. edwardsii range has been long assumed, it is critical to assess the genetic variability of the species to ensure that the level of population connectivity is appropriately understood and translocations do not have unintended consequences. Eight microsatellite loci were used to investigate genetic differentiation between six sites (three shallow, three deep) across southern Tasmania, Australia, and one from New Zealand. Based on analyses the assumption of panmixia was rejected, revealing small levels of genetic differentiatio...

Summary of results from baseline and pre-TAS.

Contemporary refugia contain communities that are strongly associated with climatic and topographic factors that confer a degree of protection from endangering processes such as fire and disease. These refugia have two important roles: they provide locations for the conservation of species and communities and they provide sources for population expansion if limiting conditions abate. Places qualifying as refuges from frequent fire do so because, although they contain plants sensitive to fire, …Show full descriptionContemporary refugia contain communities that are strongly associated with climatic and topographic factors that confer a degree of protection from endangering processes such as fire and disease. These refugia have two important roles: they provide locations for the conservation of species and communities and they provide sources for population expansion if limiting conditions abate. Places qualifying as refuges from frequent fire do so because, although they contain plants sensitive to fire, they are protected in the landscape by climatic, topographic and soil features. It is generally accepted, however, that very few, if any, places have totally escaped the effects of fire in Tasmania and that refugia will have occasionally been burnt under extreme fire conditions. But such events are considered much rarer in these places in comparison with areas that lack the protection afforded by refugia. It is the low frequency of burning that marks these places as significant. After wildfire, forest communities associated with refugia are usually slower to recover and may take many decades, even centuries, to do so. This database is a digital polygon coverage of Tasmania (captured at 1:100 000 scale). Refugia from present processes are coded with a unique number and the relevant National Estate values and criteria. All sites in this coverage are classified according to National Estate criterion A2: Importance in maintaining existing processes or natural systems at the regional or national scale. This is an archived dataset jointly owned by the Commonwealth and the Tasmanian Governments under the Tasmania-Commonwealth Regional Forest Agreement (RFA) data agreement of 8th November 1997.

Tarakihi (Nemadactylus macropterus) is an important fishery species with widespread distribution around New Zealand and off the southern coasts of Australia. However, little is known about whether the populations are locally adapted or genetically structured. To address this, we conducted whole-genome resequencing of 175 tarakihi from around New Zealand and Tasmania (Australia) to obtain a dataset of 7.5 million genome-wide and high-quality single nucleotide polymorphisms (SNPs). Variant filtering, FST-outlier analysis, and redundancy analysis (RDA) were used to evaluate population structure, adaptive structure, and locus-environment associations. A weak but significant level of neutral genetic differentiation was found between tarakihi from New Zealand and Tasmania (FST = 0.0054–0.0073, P ≤ 0.05), supporting the existence of at least two separate reproductive stocks. No clustering was detected among the New Zealand populations (ΦST < 0.001, P = 0.77). Outlier-based, presumably adaptive variation suggests fine-scale adaptive structure between locations around central New Zealand off the east (Wairarapa, Cape Campbell, and Hawke’s Bay) and the west coast (Tasman Bay/Golden Bay and Upper West Coast of South Island). Allele frequencies from 55 loci were associated with at least one of six environmental variables, of which 47 correlated strongly with yearly mean water temperature. Although genes associated with these loci are linked to various functions, the most common functions were integral components of membrane and cilium assembly. Projection of the RDA indicates the existence of a latitudinal temperature cline. Our work provides the first genomic insights supporting panmixia of tarakihi in New Zealand and evidence of a genomic cline that appears to be driven by the temperature gradients, together providing crucial information to inform the stock assessment of this species, and to widen the insights of the ecological drivers of adaptive variation in a marine species.

Parameters for both of the count methods discussed in this study (linear and FOVS) are provided, including embedded formulae where relevant. Descriptions of formulae and terms follow those outlined in the manuscript or in S1 Table. Blue column headers indicate input parameters; CI = confidence interval; CL = confidence level; FOV = field of view; reg. = registration (samples registered at the Swedish Museum of Natural History); s.d. = standard deviation; t.u. = time units. aIndicates values that are utilised when (i.e., when ). (XLSX)

The Collaborative Australian Protected Areas Database (CAPAD) 2010 provides both spatial and text information about government, Indigenous and privately protected areas for continental Australia. State and Territory conservation agencies supplied data current for various dates between June 2010 and January 2011. This is the eighth version of the database, with previous versions released in 1997, 1999, 2000, 2002, 2004, 2006 and 2008. CAPAD provides a snapshot of protected areas that meet the IUCN definition of a protected area:

"A protected area is an area of land and/or sea especially dedicated to the protection and maintenance of biological diversity, and of natural and associated cultural resources, and managed through legal or other effective means" (IUCN 1994).

The department publishes a summary of the CAPAD data biannually on its website at http://www.environment.gov.au/parks/nrs/science/capad/index.html.

This version of CAPAD contains Commonwealth data and all data supplied by ACT, NSW, WA, NT, QLD, TAS and some SA data. SA Forests data and all data supplied by VIC can be found in the CAPAD 2010 - restricted dataset (available for non-commercial users only). CAPAD 2010 - external spatial data is available for download from the Discover Information Geographically (DIG) website: http://www.environment.gov.au/metadataexplorer/explorer.jsp.

Main attributes in the database include:

PA_ID: The protected area ID code. Created from RES_NUMBER if unique, otherwise it is a DSEWPaC generated number.

NAME: the name of the protected area. Gazetted PAs with no name are flagged as "Unnamed" with a reserve number.

TYPE: the type of protected area according to the protected area establishment mechanism.

TYPE_ABBR: the abbreviation of the TYPE.

AA Aboriginal Area ACCP Conservation Covenant ASMA Antarctic Specially Managed Areas ASPA Antarctic Specially Protected Areas BG Botanic Gardens (Commonwealth) CA Conservation Area CCA Coordinated Conservation Area CCAZ1 CCA Zone 1 National Park CCAZ2 CCA Zone 2 Aboriginal Area CCAZ3 CCA Zone 3 State Conservation Area COR Coastal Reserve CP Conservation Park CR Conservation Reserve FLR Flora Reserve FR Forest Reserve GR Game Reserve HA Heritage Agreement HIR Historical Reserve HR Heritage River HS Historic Site HTR Hunting Reserve IPA Indigenous Protected Area KCR Karst Conservation Reserve MAA Management Agreement MCP National Parks Act Schedule 4 park or reserve MNP Marine National Park MR Commonwealth Land Managed for Conservation MS Marine Sanctuary NAP Nature Park NAPA Nature Park (Aboriginal) NCA Natural Catchment Area NCR Nature Conservation Reserve NFR Natural Features Reserve NP National Park NPA National Park Aboriginal NPC National Park (Commonwealth) NPR National Park (Recovery) NR Nature Reserve NRA Nature Recreation Area NREF Nature Refuge NRS NRS Addition - Gazettal in Progress NS National Park (Scientific) OCA Other Conservation Area OCA/NP Other Conservation Area / Nature Park OP Other PA Protected Area PNPA Proposed National Parks Act park or park addition PNR Private Nature Reserve PPP Permanent Park Preserve PS Private Sanctuary RA Reference Area RNA Remote and Natural Area RP Recreation Park RR Regional Reserve S5G 5(1)(g) Reserve S5H 5(1)(h) Reserve SCA State Conservation Area SP State Park SR State Reserve TR Timber Reserve WA Wilderness Protection Area WP Wilderness Park WZ Wilderness Zone

IUCN: the IUCN protected area management category ascribed by the Managing authority, as outlined in the publication: CNPPA/WCMC "Guidelines for Protected Area management categories". Gland: IUCN, 1994. (ISBN: 2-8317-0201-1).

Definitions include: IA Strict Nature Reserve: managed mainly for science; IB Wilderness Area: managed mainly for wilderness protection; II National Park: managed mainly for ecosystem protection; III Natural Monument: managed mainly for conservation of specific natural features; IV Habitat / Species Management Area: managed mainly for conservation through management intervention; V Protected Landscape / Seascape: managed mainly for landscape/seascape conservation and recreation; VI Managed Resource Protected Area: managed mainly for the sustainable use of natural ecosystems.

GAZ_AREA: area in hectares as described in the nomination document (e.g. parliamentary gazettal), to the nearest hectare. Some protected areas do not have a specific area in the designation.

GIS_AREA: area in hectares based on current spatial data and an Albers equal area projection for Australia. Where protected area consists of multiple polygons (parts) the GIS_AREA is the sum of all the polygons with the same name, type, state and IUCN category.

REPT_AREA: area in hectares from the GAZ_AREA attribute and if this is a null value then the GIS_AREA is used. For Protected areas with multiple records, REPT_AREA is a calculated by dividing GAZ_AREA by GIS_AREA of the total then applying this factor to the GIS_AREA of the record.

GAZ_DATE: the first gazettal or proclamation date that established any protected area at this site.

LATEST_GAZ: the date of the most recent gazettal or proclamation to add land to the protected area. It can be the same date as the GAZ_AREA.

NRS_PA: This attribute indicates the status of the protected area as part of the National Reserve System (NRS). "Y" = a protected area located within the State and Territory jurisdiction "I" = an interim protected area - in the process of being gazetted/established. "N" = a protected area that does not meet the NRS criteria. "ND" = a protected area that does not meet NRS criteria, but compliments the NRS with sympathetic management.

STATE: The state is the state that the protected area is located in. COM = protected areas located in Australian external territories.

AUTHORITY: The Authority responsible for the management of the protected area mechanism. AAD - Australian Antarctic Division ACT_TAMS - ACT Territory and Municipal Services WA_DEC - WA Department of Environment and Conservation QLD_DERM - Qld Department of Environment and Resource Management VIC_DSE - Victorian Department of Sustainability and Environment DSEWPAC - Department of Sustainability, Environment, Water, Population and Communities Forests NSW - Forests NSW IMG - Indigenous Management Group LHI Board - Lord Howe Island Board NT_PWS - NT Parks and Wildlife Service NSW_OEH - NSW Office of Environment and Heritage SA_DENR - SA Department of Environment and Natural Resources SA_FRST - Forestry SA TAS_DPIPWE - Tasmanian Department of Primary Industries, Parks, Water and Environment TAS_FRST - Forestry Tasmania TAS_MVC - Tasmanian Meander Valley Council TAS_DC - Tasmanian Dorset Council TAS_PWS - TAS Parks and Wildlife Service TAS_WPMT - Wellington Park Management Trust STATE_MAA - Management Agreement Area

DATASOURCE: Describes the source of the data for the protected area, values are: ACT_TAMS: ACT - Territory and Municipal Services DSEWPAC: Department of Sustainability, Environment, Water, Population and Communities DSEWPAC_NRSP: Department of Sustainability, Environment, Water, Population and Communities National Reserve System Program NRETAS: NT Department of Natural Resources, Environment, The Arts and Sport NSW_OEH: NSW Office of Environment and Heritage NSW_SF: NSW Forests QLD_DERM: Qld Department of Environment and Resource Management SA_DENR: SA Dept. of Environment and Natural Resources TAS_DPIPWE: Tasmanian Department of Primary Industries, Parks, Water and Environment VIC_DSE: Department of Environment and Sustainability WA_GOV: Department of Environment and Conservation

GOVERNANCE: Determines if the protected area is government, Indigenous, joint or privately managed.

ENVIRON: A protected area gazetted as terrestrial may have a marine component and vice versa. A PROTECTED AREA can be 'T' terrestrial, marine 'M' and both 'B'. Terrestrial CAPAD 2010 contains ?T? and ?B?. Marine CAPAD 2010 contains ?M?.

OVERLAP: Shows whether or not the protected area is overlapped by another. Protected areas with a value of '1' are the primary protected area in that area. A protected area with a value of '2' is completely overlapped by another protected area.

X_COORD: is the longitude in decimal degrees east within the object closest to the centre of the object using the Gecentric Datum of Australia 1994.

Y_COORD: is the latitude in decimal degrees south within the object closest to the centre of the object using the Geocentric Datum of Australia 1994.

MGT_PLAN: The code of the status of the management plan for the protected area.

Definitions Include: P ? In Preparation ? Some form of management document was being prepared. D ? Draft ? A draft management document was released for comment by the public, management board or equivalent. S ? Statutory ? Enabling legislation establishes the management of a protected area and separate management document is not required. I ? Management Intent ? A formal statement of management intent has been prepared that clearly sets out the management objectives for the protected area but includes little else. M ? Management Plan ? A formally adopted management plan that has been through consultation and contains strategies and actions for implementation for this protected area. R ? Regional Plan ? A formally adopted management plan has been through consultation and contains general strategies and actions for implementation over a group of protected areas. N ? Unknown ? No form of management document could be found.

RES_NUMBER: The reserve number (if declared) as used by the controlling authority.

OBJECTID *, Shape *, SHAPE.AREA and SHAPE.LEN are automatically generated ESRI attributes

Context. Galaxiids are a widespread, Southern Hemisphere radiation of mostly obligate freshwater fishes. Tasmania houses a diversity of endemic species of Galaxias and Paragalaxias. Of these, many are at risk of extinction, being landlocked, range-restricted, and subject to anthropogenic threats, placing a high conservation priority on the region. Aim. Our aim was to synthesize historic and published molecular datasets to provide the sound systematic framework needed to underpin future conservation and taxonomic efforts for Tasmanian galaxiids. Methods. Novel and published nuclear (allozyme) and matrilineal (cytb) datasets were generated and integrated for every putative Tasmanian galaxiid species lacking a comparable multi-gene assessment. Key results. The Tasmanian galaxiids are phylogenetically diverse, with molecular data generally supporting the accepted taxonomy, but with potential species-level diversity noted within an alpine radiation of the Galaxias truttaceus complex and f...