The map shows areas of critical importance for the biodiversity and ecosystems of Nauru's terrestrial and marine environments.

Object: Process and map Key Biodiversity Areas for the Brittany RegionFunded by European Horizon 2020 program within Marie-Sklodowska Curie n 899546, the TEKBreiz project aimed at starting to map out the Traditional Ecological Knowledge of the Breton landscape to support climate-resilient food-system planning and decision-making.Key Biodiversity Areas (KBA) are becoming the international standard to identify essential ecological areas. “By providing the precise location of places that contribute significantly to the global persistence of biodiversity, KBAs can accelerate efforts to reverse the loss of nature, by ensuring conservation efforts are focused in the places that matter most, and by enabling entities that may have negative impacts on nature to avoid or reduce those impacts in the places they would be most damaging". This data is released by the Integrated Biodiversity Assessement Tool (IBAT) at https://www.keybiodiversityareas.org/Processing:Downloaded KBA dataset from source for FranceClipped geography by Historical Brittany (5 departments) boundariesCleaned and exported layerAnalyzed patternsLimitations:While the goal of the KBAs is to become a worldwide standard for key areas according to a wide variety of criteria (11) including threatened biodiversity, geographically restricted biodiversity, ecological integrity, biological processes, and irreplaceability, in practice sites are synchronized nationally by subcommittees and then transmitted to IUCN for review and integration (See more details at https://portals.iucn.org/library/node/46259). What happens is that most sites currently come from previous datasets featuring Important bird areas and do not contain all sites fitting the aforementioned criteria. This information was obtained by discussing methodology with the KBA global team. This means that there is a current gap between what the KBA DB aspires to be versus what it currently is. For the Brittany Region, we can see that KBA are mostly limited to coastal sites, which is congruent with Important Bird Areas. This layer is useful to look at for Brittany because we can see that polygon extents encompass most of the coastal line, highlighting the need to protect our coastal resources and ecosystems, which has great implications for sea-related activities.However the current limitations of the source dataset point at the need for more work incorporating Breton Key Biodiversity Sites into the global dataset, for instance data coming from within "Argoat"/inland country.

This data set shows details of 10,517 terrestrial bird species and the overlap of their area of habitat (AOH) with Key Biodiversity Areas (KBAs). This includes the area of overlap, the percentage of each AOH that overlaps, and many more details including habitats, taxonomy, and IUCN Red List categories. Migratory species have separate maps for their breeding and non-breeding range.This research is published in the paper "Effectiveness of Key Biodiversity Areas in representing global avian diversity"

Key Biodiversity Areas (KBAs) represent the largest global network of sites critical to the persistence of biodiversity, which have been identified against standardised quantitative criteria. Sites that hold very high biodiversity value or potential are given specific attention on site-based conservation targets of the Kunming-Montreal Global Biodiversity Framework (GBF), and KBAs are already used in indicators for the GBF and the Sustainable Development Goals. However, most of the species that trigger KBA status are birds and to maximise benefits for biodiversity under the actions taken to fulfil the GBF, countries need to update their KBAs to represent important sites across multiple taxa. Here we introduce KBAscope, an R package to identify potential KBAs using multiple taxonomic groups. KBAscope provides flexible, user-friendly functions to edit species data (population, range maps, area of occupancy, area of habitat and localities); apply KBA criteria; and generate outputs to suppo..., , , # KBAscope application to Greece

https://doi.org/10.5061/dryad.1ns1rn90h

KBAscope is an R package to identify potential Key Biodiverity Areas (KBAs) using multiple taxonomic groups. KBAscope provides flexible, user-friendly functions to edit species data (population, range maps, area of occupancy, area of habitat and localities); apply KBA criteria; and generate outputs to support the delineation and validation of KBAs. Here, we use KBAscope to demonstrate its functionality by identifying potential KBAs in Greece based on multiple terrestrial taxonomic groups and four sizes of grid cells (4 km2, 25 km2, 100 km2, 225 km2).

Description of the data and file structure

The data include a) range maps for 1,853 terrestrial species from the IUCN Red List (IUCN, 2023), representing all available maps for terrestrial species in Greece, regardless of the threat category; b) localities for 189 endemic species (amphibia, reptiles, orthoptera, odonata...

Series Name: Average proportion of Terrestrial Key Biodiversity Areas (KBAs) covered by protected areas (percent)Series Code: ER_PTD_TERRSRelease Version: 2020.Q2.G.03 This dataset is the part of the Global SDG Indicator Database compiled through the UN System in preparation for the Secretary-General's annual report on Progress towards the Sustainable Development Goals.Indicator 15.1.2: Proportion of important sites for terrestrial and freshwater biodiversity that are covered by protected areas, by ecosystem typeTarget 15.1: By 2020, ensure the conservation, restoration and sustainable use of terrestrial and inland freshwater ecosystems and their services, in particular forests, wetlands, mountains and drylands, in line with obligations under international agreementsGoal 15: Protect, restore and promote sustainable use of terrestrial ecosystems, sustainably manage forests, combat desertification, and halt and reverse land degradation and halt biodiversity lossFor more information on the compilation methodology of this dataset, see https://unstats.un.org/sdgs/metadata/

The data provided includes a clipped shapefile which shows the protected areas and the Critical Biodiversity Areas in the Vhembe District. The boundary of the Vhembe District is also included. The shapefile for the Key Biodiversity Areas cannot be shared and permission should be requested from an organization such as BirdLife. Three Excel spreadsheets are also provided. These spreadsheets show the data for each layer and include the area, name, date established, etc.Methodology:The mapping process utilized QGIS version 3.28.0 to create the maps. Prior to analysis, all the vector datasets were collected and cleaned before being converted to EPSG: 4148- Hartebeesthoek94 reference coordinate system. During the screening process, datasets were selected by overlaying the Vhembe District boundary file with the datasets and utilizing the Geoprocessing Tool 'clip'. This method ensured that only the polygons and features within the boundary of the study site were analyzed. These layers were saved as individual shapefiles with their own respective attribute tables. Subsequently, the clipped protected area file was analyzed based on criteria such as date of establishment, coverage, size, and ownership type. The saved KBA and CBA polygons were then overlaid with the protected area layer to identify gaps in the protected area network. The 'clip' tool was used again to generate new polygons depicting KBAs and CBAs that did not overlap with protected areas, facilitating the creation of clear maps illustrating areas in need of protection. Furthermore, the 'field calculator' was employed to determine the area of the original and overlayed layers. This allowed for accurate quantification of the size of protected areas, KBAs and CBAs.

This map service is for use by the public to assist with planning and development enquiries in the City of Logan. It includes key maps from the current version of the Logan Planning Scheme 2015, including zones and zone precincts, local plans and local plan precincts, overlays (incorporating TLPI No.1 2024), local government infrastructure plan (LGIP) maps, and some of the key planning scheme policy (PSP) maps relating to environment (policy 3) and infrastructure (policy 5). These maps are also available as ‘interactive mapping’ in the Logan PD Hub: https://loganhub.com.au . For a full list of planning scheme maps, please refer to Council’s website: https://www.logan.qld.gov.au/planning-and-development/logan-planning-schemeBy using this information service provided by Logan City Council, you confirm that you agree to the following terms and conditions:- The available planning scheme maps do not replace the PDF maps that are published on the Council’s website, and the PDF maps prevail to the extent of any inconsistency. - This information is subject to change and should not be relied on to make decisions, particularly in regard to property transactions, to value property, or to make any decisions which may have financial or legal implications. - While all reasonable care has been taken in producing the maps, Council does not warrant the accuracy, completeness or currency of this information and accepts no responsibilities for, or in connection with, any expense, loss, damage or liability (including indirect or consequential loss) arising as a result of any inaccuracies, errors or omissions, or your reliance on or use of this information. - The copyright of the information available through this website is owned by or licensed to Council. Council reserves all intellectual property rights in the information and does not confer any intellectual property rights on you or any other person by making the information available.

Généalogie : >> Juin 2016 (date de mise à jour) : Une nouvelle version (v2) est désormais disponible. Quatre nouvelles zones ont été créées sur la partie terrestre.Deux nouvelles couches sont intégrées dans le zip de téléchargement, couvrant d'une part l'espace côtier et lagonaire et d'autre part, l'espace marin. Sur le domaine marin, les zones définies sont des « ZCB potentielles ». Elles seraient susceptibles de devenir des ZCB lorsque plus de données de localisation sur les espèces menacées présentes seront acquises. Sont considérés comme « côtières » dans cette délimitation, les zones sous juridiction des provinces (Nord, Sud et Loyauté). La limite terrestre/côtier qui a été retenue suit la délimitation de la couche géographique des limites administratives des provinces et peut inclure les zones de mangroves telles qu'elles apparaissent dans la couche d'information géographique « physiographie des mangroves ».Pour plus d'informations sur la délimitation des zones et sujets en relation, veuillez consulter le rapport pdf "Profil d'écosystèmes" présent dans les liens de Distribution de cette fiche de métadonnées.Les Zones Clés de Biodiversité (Key Biodiversity Areas) reposent sur un découpage spatial sur le domaine terrestre en "unité de planification". Ces unités de planification se basent sur les sous bassins versants résultants de l'outil de modélisation hydrologique de ArcMap 9.3.1 ; En utilisant le DEM/MNT (Modèle Numérique de Terrain) au pas de 50m de la DTSI, plusieurs étapes ont été réalisées : 1.FlowDirection ; FlowAccumulation ; Conditionnalité : avoir au moins 500 cellules produites par le débit cumulé pour générer une cellule d'un réseau hydrologique (ce qui indique qu'au moins 500 cellules de débit cumulé sont nécessaires pour définir une cellule du réseau hydrologique). Il en résulte l'identification de 10.700 unités de planification (sous bassins versants dont la taille moyenne est de 155 ha), mais cela a également révélé que les zones côtières n'étaient pas pris en compte dans ce calcul car le débit cumulé est souvent inférieur à 500 cellules); 2.Streamlink : flux lien produit ; Outil pour bassins versants : bassins versants générés en polygones ; 3. Stream Caractéristique : (encore une fois en utilisant le lien stream) générant polylignes illustrant le ruisseau ; Basé sur le shapefile Province50 DTSI, la circonférence de la Grande terre et des îles pourraient être déterminés. La zone (zones côtières principalement) issue de la différence symétrique entre la couche Province50 et celle des bassins versants produite (décrite ci-dessus) a été remplie avec des bassins : Ces bassins ont été tirés de la commande "bassin" en employant le DEM/MNT 50m. Étant donné que ces bassins peuvent devenir très réduits, surtout sur zones côtières, toutes les unités de bassins inférieurs à 3,5 ha ont été dissoutes (fusionnées quand spatialement adjacentes) et toutes les zones de moins de 0,2 hectare éliminées par fusion au polygone voisin le plus grand. Une étape suivante a été l'identification de "zones plates» dont l'inclinaison est inférieure ou égale à 0,1% pour substituer les zones où la modélisation n'était pas adaptée. La principale zone remplacée par un polygone une "zone plate" correspond au lac de Yaté. Deux autres caractéristiques des polygones ont été divisés pour produire la donnée finale en raison de l'intégration de la délimitation provinciale (Province Sud / Nord). Sur la base de ces "unités de planification" les polygones représentant les Zones Clés de Biodiversité ont été identifiés. L'identification est un processus de sélection des unités de planification basée sur l'occurrence des espèces menacées suivant la méthodologie de délimitation Zones Clés de Biodiversité par UICN (Langhammer, PF, Bakarr, MI, Bennun, LA, Brooks, TM, Clay, RP, Darwall, W., De Silva, N., Edgar, GJ, Eken, G., Fishpool, PMA, 3 Fonseca, GAB da, Foster, MN, Knox, DH, Matiku, P., Radford, EA, Rodrigues, ASL, Salaman, P., . Sechrest, W., et Tordoff, AW (2007) Identification et analyse des lacunes de zones clés pour la biodiversité : Cibles de réseaux d'aires protégées complets Gland, Suisse: UICN).Source à citer : Conservation International Nouvelle-Caledonie 2011. Delineation of New Caledonia Key Biodiversity Areas. Langhammer, P.F., et al. (2007). Identification and Gap Analysis of Key Biodiversity Areas: Targets for Comprehensive Protected Area Systems. Gland, Switzerland: IUCN.Mention obligatoire : La délimitation des Zones Clés de Biodiversité est amenée à évoluer vu que la production de données biodiversité est toujours en cours et que la méthodologie est itérative ; Sujet suivi par le Groupe Profil d'Ecosystème de Nouvelle-Calédonie regroupant la Province Sud, la Province Nord, la Province des iles, le gouvernement de la Nouvelle-Calédonie, l'État Français, AFD, CI, SCO, WWF, AICA, IRD, UNC, IAC, IFREMER.Plus d'informations :Rapport sur le Profil d'écosystèmes de la Nouvelle-Calédonie : https://sig-public.gouv.nc/BEST_Profil_d_ecosystemes_Nouvelle_Caledonie_2016.pdfTaxons par KBA : https://sig-public.gouv.nc/KBA_AllCRENEVU_species2016.xlsxInformations sur la méthode de délimitation : https://www.iucn.org/about/union/commissions/wcpa/wcpa_puball/wcpa_bpg/?376/2/Identification-and-gap-analysis-of-key-biodiversity-areas-targets-for-comprehensive-protected-area-systemsSite de "Conservation International" - Gestionnaire : https://www.conservation.org/Les antennes de CI à travers le monde : https://www.conservation.org/where/Pages/default.aspxL'antenne "Pacific Oceanscape" de CI : https://www.conservation.org/where/pages/pacific-oceanscape.aspxL'antenne Nouvelle-Calédonie de CI : https://www.conservation.org/projects/new-caledonia-home-of-the-worlds-second-largest-marine-parkTéléchargement des données : https://georep-dtsi-sgt.opendata.arcgis.com/maps/934b1cad2b9045d8ac2c4d7b0a524f2e/about

Supplementary Data for the article "Co-occurrence of climate-change induced and anthropogenic pressures in Central American key biodiversity areas"

This includes the pressure score maps for all climate scenarios / SSPs for the historical and future time periods as well as the script used for preparing the anthropogenic pressure maps (human footprint mapping).

Area of habitat (AOH) maps show the distribution of the habitat available to the species within their geographic range and altitude limits. Information on the distribution of species’ habitats can be implemented to investigate biogeographical patterns, as well as to identify potential Key Biodiversity Areas. We produced high resolution global area of habitat maps for 28 species and subspecies of bumblebees occurring in Italy. The maps can be used as a reference for conservation planning and can help monitoring habitat loss., We obtained occurrence points for 28 bumblebees (23 species and 5 subspecies) from the Atlas of European bees (Rasmont 2015). We derived a distribution range for each species from its occurrence points using the freely accessible map ‘Admin-1 State and provinces' of the Natural Earth database (nauralearthdata.com). The map contains data on internal first order administrative boundaries worldwide, with a resolution of 1:10m. We performed an intersection between the species occurrence points and the administrative boundaries map, retaining only the regions of the map intersected by the species occurrence points. We linked the species to their natural habitat using Copernicus Global Land Service Land Cover (CGLS-LC100) 2019 classes as a habitat surrogate. Species-Habitat associations and altitude limits were based on the current knowledge of the biology of target species, as referenced in scientific literature and species datasets. A binary classification was compiled to link species habit..., , # Area of habitat maps for Italian bumblebees

Contact information:

Dario Nania, Sapienza University of Rome

email:

Description of the data and file structure

Dataset description:

The dataset contains Area of habitat (AOH) maps for 28 bumblebees (23 species and 5 subspecies) occurring in Italy. The maps reveal the geographic distribution of the species habitat within their global range. Each map is available in GeoTIFF format. Raster pixel values are equal to 0 if they fall within the distribution range but do not represent available habitat for the species. Pixel values are equal to 1 if they represent available habitat for the species withi its distribution range.

Methods description:

We obtained occurrence points for 28 bumblebees (23 species and 5 subspecies) from the Atlas of European bees (Rasmont 2015). We derived a distribution range for each species from its occurrence points using the freely accessible map ‘Admin-1 State and provinces' of the Natural Earth databas...

Aim Effective policy making for biological conservation requires the identification and ranking of the most important areas for protection or management. One of the most frequently used systems for selecting priority areas is Key Biodiversity Areas (hereafter KBAs), developed by the International Union for Conservation of Nature (IUCN). However, KBAs cannot be used to rank areas, potentially limiting their use when limited funding is available. To tackle this shortcoming and facilitate spatial prioritization, here we develop and validate the “WEGE index” (Weighted Endemism including Global Endangerment index), consisting of an adaptation of the EDGE score (Evolutionarily Distinct and Globally Endangered). WEGE allows the ranking of any set of locations according to the KBA guidelines and on a continuous scale. Location Global. Methods We calculated the EDGE score, Weighted Endemism, Evolutionary distinctiveness, Extinction risk and our newly developed WEGE index for all terrestrial species of amphibians, mammals and birds accessed by IUCN. We then compared the performance of each of those five indices at prioritizing areas according to the KBA guidelines. Results We found that for all taxa surveyed, WEGE was consistently better at identifying areas that trigger KBA status. Main conclusions In our analyses, WEGE outperformed all other methods and metrics designed for similar purposes. It can therefore serve as a robust evidence-based methodology to prioritize among otherwise equally qualified sites according to the KBA categories. WEGE can therefore support transparent, evidence-based and biologically meaningful decision-making for conservation priorities.

Methods Using IUCN’s range maps for all assessed terrestrial amphibians (6,615 species), mammals (5,610) and birds (10,549) (2019-3: IUCN 2019) we calculated EDGE, ED, ER, WE, WEGE and cells that trigger KBA status for criteria A1a, A1b, A1e and B1 in a global scale in resolutions of c. 100 x100 km (10,000 km2) and c. 20 x 20 km (400 km2) grids on a Berhmann projection map. We note that the sizes of the cells are area-true but involve some modifications of the shapes. The actual size is only 100 x100 km at 30 degrees North or South.

Conservation efforts should target the few remaining areas of the world that represent outstanding examples of ecological integrity and aim to restore ecological integrity to a much broader area of the world with intact habitat and minimal species loss while this is still possible. There have been many assessments of “intactness” in recent years but most of these use measures of anthropogenic impact at a site, rather than faunal intactness or ecological integrity. This paper makes the first assessment of faunal intactness for the global terrestrial land surface and assesses how many ecoregions have sites that could qualify as Key Biodiversity Areas (KBAs – sites contributing significantly to the global persistence of biodiversity) based on their outstanding ecological integrity (under KBA Criterion C). Three datasets are combined on species loss at sites to create a new spatially explicit map of numbers of species extirpated. Based on this map it is estimated that no more than 2.9% of the land surface can be considered to be faunally intact. Additionally, using habitat/density distribution data for 15 large mammals we also make an initial assessment of areas where mammal densities are reduced, showing a further decrease in surface area to 2.8% of the land surface that could be considered functionally intact. Only 11% of the functionally intact areas that were identified are included within existing protected areas, and only 4% within existing KBAs triggered by other criteria. Our findings show that the number of ecoregions that could qualify as Criterion C KBAs could potentially increase land area up to 20% if their faunal composition was restored with the reintroduction of 1–5 species. Hence, if all necessary requirements are met in order to reintroduce species and regain faunal integrity, this will increase ecological integrity across much of the area where human impacts are low (human footprint ≤4). Focusing restoration efforts in these areas could significantly increase the area of the planet with full ecological integrity.

1. Introduction:

This dataset is a work in progress. It compiles data gathered on ecosystem-types and their distribution based on a series of field studies led by the author, in Seychelles and West and Central Africa (Senterre 2014, Senterre & Wagner 2014, Senterre 2016, Senterre et al. 2017, 2019, 2020, 2021a, 2022). The aims of this dataset are:

a. To share in an explicit and transparent way data on proposed taxonomies of ecosystems, i.e. conceptualizations of ecosystem-types, including explicit ecosystem names and management of synonymies.

b. To develop ecosystem red listing based on transparent and falsifiable distribution raw data, combining distribution modeling (maps) and in situ observation of individual stand occurrences.

c. To illustrate in detail how to deal with ecosystem data following the approach described in Senterre et al. (2021b) (i.e. "ecosystemology" approach).

d. To integrate the above approach with the newly developed function-based typology of ecosystems (Keith et al. 2022), therefore contributing to bridging the persistent gap between the global and the local scales in ecosystem descriptions and classifications.

2. Context and versions:

This dataset was initially planned for publication on GBIF (Global Biodiversity Information Facility), as part of a project developed for the review of Key Biodiversity Areas in Seychelles: "Mainstreaming recent species and ecosystem distribution data into Key Biodiversity Areas assessments in Seychelles" (https://www.gbif.org/dataset/f513fe98-b1c3-45ee-8e14-7f2a5b7890bf).

In the first version of the GBIF dataset (https://www.gbif.org/dataset/f513fe98-b1c3-45ee-8e14-7f2a5b7890bf), we proposed an analysis of the potential 'core' and 'extension' files available in GBIF for a publication of ecosystem-type names (and synonymies) and their corresponding occurrences recorded from field observations. This is an original analysis of taxonomic principles managed entirely at the scale of local observable objects, and their history of identifications or interpretations.

Toward the end of the above-mentioned GBIF project, considering the limitations and gaps currently present in GBIF, it was decided to restrict the GBIF dataset to a simple 'metadata' entry and to publish the complete version of this dataset in Zenodo. This allows to include all tables needed, as well as all required fields without having to accommodate them within the limited GBIF structure (see metadata description on GBIF for more details). The fields of the tables published here are described in the GBIF metadata entry and in the ecosystemology paper (Senterre et al. 2021b).

3. New development on typology aspects:

In addition, considering that the new IUCN global typology of ecosystems is now published (Keith et al. 2022), we have reviewed in detail the possibility of integration of ecosystems conceptualized using our ecosystemology approach within the new IUCN typology. The result of this analysis is being considered for a publication, and this Zenodo dataset would then be published in full (i.e. including all typology aspects) as supplementary materials. In the meantime, I would be happy to discuss any of these aspects with whoever is interested.

4. Access to ecosystem data for conservation actors:

Finally, the actual data (published here) on ecosystem-types, their names, synonymies, classification, distribution, and red list status are compiled into a format that we designed to be useful to conservation actors in the form of interactive webpages (produced with R as shiny apps). This development is based on very limited resources, and the author is still quite new to R, so any help or feedback on ways to improve the scripts would be very much welcomed.

The interactive page is available here (currently filtered to Seychelles' data only, although the dataset contains data beyond the Seychelles): https://shiny.bio.gov.sc/bioeco/

The R scripts are available on Github: https://github.com/bsenterre/ecosystemology

5. Tables contained in this dataset:

a. Ecosystem taxonomy tables:

ecoSpecies: Contains the list of all ecosystem-type names with their unique identifier.

ecoOccurrences: Contains the list of individual stand occurrences, including ecosystem characters as standardized in Senterre et al. (2021b; i.e. virtual ecosystem specimen).

ecoSpeciesProfiles: Contains basic metadata on ecosystem-types, such as their Red List evaluations.

ecoIdentifications: Contains all the different interpretations/identifications (referring to the table ecoSpecies or to higher levels of classification, see below) made on the stands observed in the ecoOccurrences table.

b. Ecosystem typology tables (TO BE ADDED LATER):

IUCNL3: This is just a transcription, as is, of the IUCN global typology version 2.1.

IUCNL3BIOCrossover: This table defines and comments correspondences between BIOL2 (the level 2 of the typology used by us) and the IUCN typology L3 (level 3).

BIOL2: This is a variation based on the IUCN typology, here our level 2.

BIOL3: This is a variation based on the IUCN typology, here our level 3.

BIOL4: This is a variation based on the IUCN typology, here our level 4.

ecoGenus: This is a general type of stand (thus excluding any regional ecosystem connotation), defined at a local scale and never combined with any geographic connotation (see ecosystemology paper: Senterre et al. 2021b).

ecoFamily: This is a generalized version of the ecoGenus (i.e. still excluding any regional, sub-regional or geographic aspect).

ecoOrder: This is a further generalized version of the ecoGenus (see also Senterre et al. 2020).

lifeZone: This is a basic and incomplete list of life zones as defined following the Holdridge (1967) approach, with some additional elements proposed in Senterre et al. (2021b).

6. Literature cited:

Holdridge, L. R. 1967. Life zone ecology. Tropical Science Center, San Jose, Costa Rica.

Keith, D. A., J. R. Ferrer-Paris, E. Nicholson, M. J. Bishop, B. A. Polidoro, E. Ramirez-Llodra, M. G. Tozer, J. L. Nel, R. Mac Nally, E. J. Gregr, K. E. Watermeyer, F. Essl, D. Faber-Langendoen, J. Franklin, C. E. R. Lehmann, A. Etter, D. J. Roux, J. S. Stark, J. A. Rowland, N. A. Brummitt, U. C. Fernandez-Arcaya, I. M. Suthers, S. K. Wiser, I. Donohue, L. J. Jackson, R. T. Pennington, T. M. Iliffe, V. Gerovasileiou, P. Giller, B. J. Robson, N. Pettorelli, A. Andrade, A. Lindgaard, T. Tahvanainen, A. Terauds, M. A. Chadwick, N. J. Murray, J. Moat, P. Pliscoff, I. Zager, and R. T. Kingsford. 2022. A function-based typology for Earth’s ecosystems. . Nature 610:513–518. doi:10.1038/s41586-022-05318-4.

Senterre, B. 2014. Mapping habitat-types within the Hummingbird site at Dugbe (Liberia, West Africa). Consultancy Report, Missouri Botanical Garden. P. 56. https://doi.org/10.13140/RG.2.2.32628.48003.

Senterre, B. 2016. Habitat-type ground-truthing and assessment of ecosystem conservation value in the Bel Air Alufer mining site (Guinea, West Africa), with recommendations for improving the draft map of land cover types. Consultancy Report, Missouri Botanical Garden, A study conducted for Alufer Mining Limited. P. 54.

Senterre, B., E. Bidault, and T. Stévart. 2019. Identification et évaluation des écosystèmes menacés du Mont Nimba. Rapport de consultance, Missouri Botanical Garden (MBG), Africa and Madagascar Department. P. 106. https://doi.org/10.13140/RG.2.2.13242.93129.

Senterre, B., E. Bidault, T. Stévart, and P. P. Lowry II. 2020. Assessment of Key Biodiversity Areas in the Lofa-Gola-Mano & Nimba complexes (West Africa) using ecosystem criteria. Final Report, Missouri Botanical Garden. P. 146. 10.13140/RG.2.2.17934.89924.

Senterre, B., E. Bidault, T. Stévart, M. Wagner, and P. Lowry. 2017. Mapping habitat-types in south-east Kouilou (Republic of Congo). Consultancy Report, Missouri Botanical Garden (MBG), Africa and Madagascar Department, St. Louis, Missouri, USA. P. 163.

Senterre, B., R. M. Bristol, G. Gendron, and E. Henriette. 2021a. Fine-tuning conservation priorities in Seychelles at the landscape scale, using global KBA guidelines with both species and ecosystem criteria. Consultancy Report, United Nations Development Programme, GOS/UNDP/GEF Programme Coordination Unit, Victoria, Seychelles.

Senterre, B., P. P. Lowry II, E. Bidault, and T. Stévart. 2021b. Ecosystemology: a new approach toward a taxonomy of ecosystems. . Ecological Complexity 47:100945. doi:https://doi.org/10.1016/j.ecocom.2021.100945.

Senterre, B., A.-H. Paradis, E. Bidault, T. Stévart, and P. P. Lowry II. 2022. Qualité et distribution des savanes montagnardes du Nimba. Rapport de consultance, Missouri Botanical Garden (MBG), Africa and Madagascar Department. P. 73. http://dx.doi.org/10.13140/RG.2.2.13433.34401.

Senterre, B., and M. Wagner. 2014. Mapping Seychelles habitat-types on Mahé, Praslin, Silhouette, La Digue and Curieuse. Consultancy Report, Government of Seychelles, United Nations Development Programme, Victoria, Seychelles. P. 119. https://doi.org/10.13140/RG.2.1.4558.6009.

This dataset was compiled for the Edmonton Metropolitan Region Growth Plan which came into effect on October 26, 2017.

Last Updated: N/A

The World Database on Protected Areas (WDPA) is the most comprehensive global database of marine and terrestrial protected areas and is one of the key global biodiversity datasets being widely used by scientists, businesses, governments, International secretariats and others to inform planning, policy decisions and management.The WDPA is a joint project between the United Nations Environment Programme (UNEP) and the International Union for Conservation of Nature (IUCN). The compilation and management of the WDPA is carried out by UNEP World Conservation Monitoring Centre (UNEP-WCMC), in collaboration with governments, non-governmental organisations, academia and industry. There are monthly updates of the data which are made available online through the Protected Planet website where the data is both viewable and downloadable.Data and information on the world's protected areas compiled in the WDPA are used for reporting to the Convention on Biological Diversity on progress towards reaching the Aichi Biodiversity Targets (particularly Target 11), to the UN to track progress towards the 2030 Sustainable Development Goals, to some of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services (IPBES) core indicators, and other international assessments and reports including the Global Biodiversity Outlook, as well as for the publication of the United Nations List of Protected Areas. Every two years, UNEP-WCMC releases the Protected Planet Report on the status of the world's protected areas and recommendations on how to meet international goals and targets.Many platforms are incorporating the WDPA to provide integrated information to diverse users, including businesses and governments, in a range of sectors including mining, oil and gas, and finance. For example, the WDPA is included in the Integrated Biodiversity Assessment Tool, an innovative decision support tool that gives users easy access to up-to-date information that allows them to identify biodiversity risks and opportunities within a project boundary.The reach of the WDPA is further enhanced in services developed by other parties, such as theGlobal Forest Watch and the Digital Observatory for Protected Areas, which provide decision makers with access to monitoring and alert systems that allow whole landscapes to be managed better. Together, these applications of the WDPA demonstrate the growing value and significance of the Protected Planet initiative.For more details on the WDPA please read through the WDPA User Manual.

Abstract

Roads fragment landscapes and trigger human colonization and degradation of ecosystems, to the detriment of biodiversity and ecosystem functions. The planet’s remaining large and ecologically important tracts of roadless areas sustain key refugia for biodiversity and provide globally relevant ecosystem services. Applying a 1-kilometer buffer to all roads, we present a global map of roadless areas and an assessment of their status, quality, and extent of coverage by protected areas. About 80% of Earth’s terrestrial surface remains roadless, but this area is fragmented into ~600,000 patches, more than half of which are <1 square kilometer and only 7% of which are larger than 100 square kilometers. Global protection of ecologically valuable roadless areas is inadequate. International recognition and protection of roadless areas is urgently needed to halt their continued loss.

Abstract

This data and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are represented here as originally supplied.

The Biodiversity Investment Opportunities Map (BIO Map) is a key deliverable of the NSW Government's $40 million Green Corridors program, a Government priority action identified in NSW 2021: A Plan to make NSW number one. The map was prepared with funding provided by the NSW Environmental Trust. BIO Map has been prepared for the Cumberland subregion, a 275 693-hectare area containing the Cumberland Plain, a broad shale basin in Western Sydney. The areas identified for investment are termed priority investment areas, and include core areas (this layer) and biodiversity corridors of regional significance. Mapping criteria were used to identify and map priority investment areas, and targeted stakeholder consultation was conducted to inform the outputs of the project. Stakeholders consulted included the Commonwealth Department of the Environment, six state government authorities, 16 local councils and eight non-government organisations. The final Cumberland subregion BIO Map identifies a network of 87 core areas and 27 regional biodiversity corridors within the Cumberland subregion. The 87 core areas include all of the Priority Conservation Lands identified by the Cumberland Plain Recovery Plan. The total area represented within the mapped priority investment areas is 42,124 hectares. Mapped core areas make up 24,197 hectares. The BIO Map project aims to achieve better biodiversity outcomes by directing biodiversity investment funding to the strategic locations of greatest benefit. A landholder's right to carry out agricultural and developmental activities on their land are not altered by their property being identified as a priority investment area on the BIO Map. The BIO Map identifies areas where landowners have more opportunities to receive funding to protect their bushland. Any involvement by a landowner in such programs is entirely voluntary.

Purpose

The BIO Map project aims to achieve better biodiversity outcomes by directing biodiversity investment funding to the strategic locations of greatest benefit

Dataset History

This data and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are represented here as originally supplied.

Lineage: Lineage: Core areas are areas of native vegetation and habitat where management will be of greatest benefit to the conservation of state and regional biodiversity values within a region. Combined with state and regional corridors, the areas are termed Priority Investment Areas (PIAs) An updated vegetation map of the study area, where areas cleared up to 2012 were removed, was combined with a Biodiversity Forecaster Tool (BFT) analysis, assessment of current and future land use and connectivity and patch size considerations to identify core areas for the Cumberland subregion. The Plant Community Types (PCTs) mapped in the Cumberland subregion were used to define 30 key state and regional biodiversity values to be included in core areas. Core areas were then identified to represent each of these values to a minimum level of 15% of their existing extent within the Cumberland subregion. The minimum representation of 15% was selected to maintain consistency with the target used to define the Priority Conservation Lands (PCLs) identified by the Cumberland Plain Recovery Plan. This target recognises that many vegetation communities within the Cumberland subregion are substantially cleared and highly fragmented and face ongoing land-use and clearing pressure. The PCLs were incorporated into the BIO Map core areas as a first step. This layer satisfied the target for many PCTs. Lands identified by OEH in a high management viability (HMV) review were also included. Nine PCTs where the target was not met by the PCLs and HMV lands were then targeted for inclusion in core areas, based on patch size, connectivity, BFT result and current and future land use considerations (i.e. viability). The boundaries of these new core areas were predominantly defined using vegetation and/or cadastral boundaries. Many of the key state and regional biodiversity values substantially exceeded the minimum 15% representation target within the 87 core areas identified. Land within regional biodiversity corridors, which does not count towards the minimum target, also considerably increases the representation of some key state and regional biodiversity values within the PIAs. In total the 87 core areas occupy approxiamtely 24,197 hectares. This represents approximately 9% of the Cumberland subregion, or approximately 35% of all mapped vegetation within the subregion. 42 124 hectares are mapped as PIAs when both core areas and corridors are considered . This represents approximately 15% of the Cumberland subregion, or approximately 61% of all mapped vegetation within the subregion. Positional accuracy: Digitising was conducted at a scale of approximately 1:10,000-1:15,000. Attribute accuracy: All attributes have been checked. Completeness: The layer is complete. The layer will require periodic updating to account for any clearing or vegtetation change resulting from future landuse activites.

Dataset Citation

NSW Office of Environment and Heritage (2015) Cumberland subregion BIO Map Core Areas 20150804. Bioregional Assessment Source Dataset. Viewed 18 June 2018, http://data.bioregionalassessments.gov.au/dataset/14bda271-f0e8-4bfb-91dd-865f8b311d29.

Abstract

This data and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are represented here as originally supplied.

Abstract: The Biodiversity Investment Opportunities Map (BIO Map) is a key deliverable of the NSW Government's $40 million Green Corridors program, a Government priority action identified in NSW 2021: A Plan to make NSW number one. The map was prepared with funding provided by the NSW Environmental Trust. BIO Map has been prepared for the Cumberland subregion, a 275 693-hectare area containing the Cumberland Plain, a broad shale basin in Western Sydney. The areas identified for investment are termed priority investment areas, and include core areasand biodiversity corridors of regional significance(this layer). Mapping criteria were used to identify and map priority investment areas, and targeted stakeholder consultation was conducted to inform the outputs of the project. Stakeholders consulted included the Commonwealth Department of the Environment, six state government authorities, 16 local councils and eight non-government organisations. The final Cumberland subregion BIO Map identifies a network of 87 core areas and 27 regional biodiversity corridors within the Cumberland subregion. The 87 core areas include all of the Priority Conservation Lands identified by the Cumberland Plain Recovery Plan. The total area represented within the mapped priority investment areas is 42,124 hectares. Mapped regional corridors make up 17,727 hectares(excluding areas mapped as both regional corridors and core areas). The BIO Map project aims to achieve better biodiversity outcomes by directing biodiversity investment funding to the strategic locations of greatest benefit. A landholder's right to carry out agricultural and developmental activities on their land are not altered by their property being identified as a priority investment area on the BIO Map. The BIO Map identifies areas where landowners have more opportunities to receive funding to protect their bushland. Any involvement by a landowner in such programs is entirely voluntary.

Purpose

The BIO Map project aims to achieve better biodiversity outcomes by directing biodiversity investment funding to the strategic locations of greatest benefit

Dataset History

This data and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are represented here as originally supplied.

Lineage: State and regional biodiversity corridors are linear areas that link core areas and play a crucial role in maintaining connections between animal and plant populations that would otherwise be isolated and at greater risk of local extinction. Biodiversity corridors include: *State biodiversity corridors: key linkages of native vegetation identified through state-wide analysis and provide connectivity between IBRA regions and subregions. *Regional biodiversity corridors: key linkages of native vegetation within an IBRA subregion, between IBRA subregions or between significant biodiversity features. Combined with core areas, the areas are termed Priority Investment Areas (PIAs). Regional biodiversity corridors were mapped for the Cumberland subregion. Based on the criteria applied no state biodiversity corridors were identified. The process of identifying regional corridors within the Cumberland subregion involved a number of tasks. Several existing layers were incorporated directly into the regional biodiversity corridors layer for the Cumberland subregion, including: * Western Sydney Parklands bushland corridor (Western Sydney Parklands Trust 2013); * Hawkesbury-Nepean Catchment regional biodiversity corridors (Hawkesbury-Nepean Catchment Management Authority 2008); * lands zoned 7(d1) Environmental Protection (Scenic) in the Campbelltown LEP - District 8 (Central Hills Lands) (Campbelltown Council 2008) * a small area of land identified on the Natural Resources Sensitivity Land Map in the Penrith LEP (Penrith Council 2010). Regional corridors were also identified by using the results of the Spatial Links Tool (SLT), aerial photo interpretation and vegetation mapping. Each potential corridor was reviewed for continuity, width and land use to ensure that the area included: * predominantly continuous native canopy vegetation cover * an average minimum width of 100 metres * to the greatest extent feasible, land unlikely to be subject to a development outcome (areas of current or proposed development were not included in regional biodiversity corridors). Riparian corridors were identified first. The boundaries of these corridors were identified by using the larger/wider extent of the following layers: * riparian buffer (consistent with the Water Management Act 2000 (DPI 2012)), or * lands zoned for environmental protection (e.g. E2 (Environmental Conservation) under standard instruments, or equivalent zones in older instruments), or * contiguous extant native canopy vegetation in suitable locations. As a general rule, land zoned residential (e.g. R1 to R4 under a standard LEP, or equivalent), industrial (e.g. IN1 to IN4) or business (e.g. B1 to B7) was removed from regional biodiversity corridors. Non-riparian corridors were identified predominantly through stakeholder consultation, and include large contiguous areas with complementary zoning (e.g. the Scenic Hills area of Campbelltown LGA), areas of likely native grasslands, or areas with distinct landscape features (e.g. ridgelines). In total the 27 regional biodiveristy corridors were identified, occupying approxiamtely 17,927 hectares (excluding core areas). 42 124 hectares are mapped as PIAs when both core areas and corridors are considered . This represents approximately 15% of the Cumberland subregion, or approximately 61% of all mapped vegetation within the subregion. Positional accuracy: Digitising was conducted at a scale of approximately 1:10,000-1:15,000. Attribute accuracy: All attributes have been checked. Completeness: The layer is complete. The layer will require periodic updating to account for any clearing or vegtetation change resulting from future landuse activites.

Dataset Citation

NSW Office of Environment and Heritage (2015) Cumberland Subregion BIO Map Biodiversity Corridors of Regional Significance 20150804. Bioregional Assessment Source Dataset. Viewed 18 June 2018, http://data.bioregionalassessments.gov.au/dataset/223e1f69-2da8-40e3-bdb5-433df6de650c.

Abstract

This data and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are represented here as originally supplied.

Abstract: The Biodiversity Investment Opportunities Map (BIO Map) is a key deliverable of the NSW Government's $40 million Green Corridors program, a Government priority action identified in NSW 2021: A Plan to make NSW number one. The map was prepared with funding provided by the NSW Environmental Trust. BIO Map has been prepared for the Cumberland subregion, a 275 693-hectare area containing the Cumberland Plain, a broad shale basin in Western Sydney. The areas identified for investment are termed priority investment areas, and include core areasand biodiversity corridors of regional significance(this layer). Mapping criteria were used to identify and map priority investment areas, and targeted stakeholder consultation was conducted to inform the outputs of the project. Stakeholders consulted included the Commonwealth Department of the Environment, six state government authorities, 16 local councils and eight non-government organisations. The final Cumberland subregion BIO Map identifies a network of 87 core areas and 27 regional biodiversity corridors within the Cumberland subregion. The 87 core areas include all of the Priority Conservation Lands identified by the Cumberland Plain Recovery Plan. The total area represented within the mapped priority investment areas is 42,124 hectares. Mapped regional corridors make up 17,727 hectares(excluding areas mapped as both regional corridors and core areas). The BIO Map project aims to achieve better biodiversity outcomes by directing biodiversity investment funding to the strategic locations of greatest benefit. A landholder's right to carry out agricultural and developmental activities on their land are not altered by their property being identified as a priority investment area on the BIO Map. The BIO Map identifies areas where landowners have more opportunities to receive funding to protect their bushland. Any involvement by a landowner in such programs is entirely voluntary.

Purpose

The BIO Map project aims to achieve better biodiversity outcomes by directing biodiversity investment funding to the strategic locations of greatest benefit

Dataset History

This data and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are represented here as originally supplied.

Lineage: State and regional biodiversity corridors are linear areas that link core areas and play a crucial role in maintaining connections between animal and plant populations that would otherwise be isolated and at greater risk of local extinction. Biodiversity corridors include: \*State biodiversity corridors: key linkages of native vegetation identified through state-wide analysis and provide connectivity between IBRA regions and subregions. \Regional biodiversity corridors: key linkages of native vegetation within an IBRA subregion, between IBRA subregions or between significant biodiversity features. Combined with core areas, the areas are termed Priority Investment Areas (PIAs). Regional biodiversity corridors were mapped for the Cumberland subregion. Based on the criteria applied no state biodiversity corridors were identified. The process of identifying regional corridors within the Cumberland subregion involved a number of tasks. Several existing layers were incorporated directly into the regional biodiversity corridors layer for the Cumberland subregion, including: \ Western Sydney Parklands bushland corridor (Western Sydney Parklands Trust 2013); \* Hawkesbury-Nepean Catchment regional biodiversity corridors (Hawkesbury-Nepean Catchment Management Authority 2008); \* lands zoned 7(d1) Environmental Protection (Scenic) in the Campbelltown LEP - District 8 (Central Hills Lands) (Campbelltown Council 2008) \* a small area of land identified on the Natural Resources Sensitivity Land Map in the Penrith LEP (Penrith Council 2010). Regional corridors were also identified by using the results of the Spatial Links Tool (SLT), aerial photo interpretation and vegetation mapping. Each potential corridor was reviewed for continuity, width and land use to ensure that the area included: \* predominantly continuous native canopy vegetation cover \* an average minimum width of 100 metres \* to the greatest extent feasible, land unlikely to be subject to a development outcome (areas of current or proposed development were not included in regional biodiversity corridors). Riparian corridors were identified first. The boundaries of these corridors were identified by using the larger/wider extent of the following layers: \* riparian buffer (consistent with the Water Management Act 2000 (DPI 2012)), or \* lands zoned for environmental protection (e.g. E2 (Environmental Conservation) under standard instruments, or equivalent zones in older instruments), or \* contiguous extant native canopy vegetation in suitable locations. As a general rule, land zoned residential (e.g. R1 to R4 under a standard LEP, or equivalent), industrial (e.g. IN1 to IN4) or business (e.g. B1 to B7) was removed from regional biodiversity corridors. Non-riparian corridors were identified predominantly through stakeholder consultation, and include large contiguous areas with complementary zoning (e.g. the Scenic Hills area of Campbelltown LGA), areas of likely native grasslands, or areas with distinct landscape features (e.g. ridgelines). In total the 27 regional biodiveristy corridors were identified, occupying approxiamtely 17,927 hectares (excluding core areas). 42 124 hectares are mapped as PIAs when both core areas and corridors are considered . This represents approximately 15% of the Cumberland subregion, or approximately 61% of all mapped vegetation within the subregion. Positional accuracy: Digitising was conducted at a scale of approximately 1:10,000-1:15,000. Attribute accuracy: All attributes have been checked. Completeness: The layer is complete. The layer will require periodic updating to account for any clearing or vegtetation change resulting from future landuse activites.

Dataset Citation

NSW Office of Environment and Heritage (2015) Cumberland Subregion BIO Map Biodiversity Corridors of Regional Significance 20150804. Bioregional Assessment Source Dataset. Viewed 18 June 2018, http://data.bioregionalassessments.gov.au/dataset/223e1f69-2da8-40e3-bdb5-433df6de650c.

Abstract

This data and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are represented here as originally supplied.

Abstract: The Biodiversity Investment Opportunities Map (BIO Map) is a key deliverable of the NSW Government's $40 million Green Corridors program, a Government priority action identified in NSW 2021: A Plan to make NSW number one. The map was prepared with funding provided by the NSW Environmental Trust. The Illawarra BIO Map covers a 112,942-hectare area defined by the Kiama, Shellharbour and Wollongong Local Government Areas. This includes the Illawarra coastal plain and escarpment, and the eastern parts of the sandstone plateau to the west. Each of these landscapes provides a diversity of vegetation types, habitats and landforms, which combined make the region rich in overall biodiversity values. Mapping criteria were used to identify and map priority investment areas, and targeted stakeholder consultation was conducted to inform the outputs of the project. Stakeholders consulted included nine state government authorities, four local councils and six non-government organisations. The priority investment areas comprise of biodiversity core areas and a network of state and regional biodiversity corridors within the Illawarra region. The total area represented within the mapped priority investment areas is 66,827 hectares, comprising 13,980 hectares of core area and 52,847 hectares of corridors. This represents about 59 per cent of the Illawarra region. The BIO Map project aims to achieve better biodiversity outcomes by directing biodiversity investment funding to the strategic locations of greatest benefit. A landholder's right to carry out agricultural and developmental activities on their land are not altered by their property being identified as a priority investment area on the BIO Map. The BIO Map identifies areas where landowners have more opportunities to receive funding to protect their bushland. Any involvement by a landowner in such programs is entirely voluntary. Report Title: Biodiversity Investment Opportunities Map Mapping Priority Investment Areas for the Illawarra Region

Dataset History

This data and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are represented here as originally supplied.

Lineage: Lineage: Core areas are areas of native vegetation and habitat where management will be of greatest benefit to the conservation of state and regional biodiversity values within a region. Combined with state and regional corridors, the areas are termed Priority Investment Areas (PIAs) PIAs were mapped from a combination of existing and established data and from new data layers created specifically for the project. To identify core areas, a seamless vegetation layer was made from 20 separate fine-scale vegetation maps. Vegetation types were then assigned to a single, state-wide classification (i.e. Plant Community Type) and to Threatened Ecological Communities listed in NSW. Core areas were defined as contiguous patches (separated by 30 metres or less) of Threatened Ecological Communities greater than 10 hectares in size. Threatened ecological communities were identified by mapping the associations of PCTs with the NSW Scientific Committee determinations of threatened communities. Land was removed from core areas in cases where it was deemed likely to be affected by development; this included land zoned for urban land uses or areas where land-use intensification or fragmentation was likely. As a general rule, land zoned residential (e.g. R1 to R4 under a standard LEP, or equivalent), industrial (e.g. IN1 to IN4) or business (e.g. B1 to B7) was removed from core areas. Zoning data were obtained from LEPs in force throughout the study area. After stakeholder consultation and feedback, these areas were then refined into fine-scale boundaries based on either property or vegetation boundaries. The boundaries identified focused on capturing entire patches of the vegetation type identified, not just the amount needed to meet the minimum representation target. Therefore, the areas of some vegetation types significantly exceeded their targets. Targeted stakeholder consultation informed and improved the outputs of the project. Nine state government authorities, four local councils and six non-government organisations were engaged to comment on the draft map. Suggestions from stakeholders were assessed against the mapping criteria and (where appropriate) were incorporated into the final BIO Map. Six core areas added to, or expanded, on the basis of stakeholder feedback and the incorporation of more accurate local information. The total area represented within the mapped PIAs is 66 827 hectares, comprising 13 980 hectares of core area and 52 847 hectares of corridors. This represents about 59% of the Illawarra region. Positional accuracy: Digitising was conducted at a scale of approximately 1:10,000-1:15,000. Attribute accuracy: All attributes have been checked. Completeness: The layer is complete. The layer will require periodic updating to account for any clearing or vegtetation change resulting from future landuse activites.

Dataset Citation

NSW Office of Environment and Heritage (2015) Illawarra Region BIO Map - Core Areas 20150430. Bioregional Assessment Source Dataset. Viewed 18 June 2018, http://data.bioregionalassessments.gov.au/dataset/523facf7-eacd-42b8-92b3-a01a842b9b75.