Data

Macquarie Island modelled flora species distributions and vegetation

Australian Antarctic Division
Kirkpatrick, J. and Fitzgerald, N. ; KIRKPATRICK, JAMES ; FITZGERALD, NICHOLAS
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
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Licence & Rights:

Open Licence view details
CC-BY

Attribution 4.0 International (CC BY 4.0)
https://creativecommons.org/licenses/by/4.0/legalcode

These data are publicly available for download from the provided URL.

An updated version of the data was provided by Nick Fitzgerald on 2022-08-01. The previous version of the dataset was described by the dataset DOI - doi:10.26179/m528-md85

This data set conforms to the CCBY Attribution License (http://creativecommons.org/licenses/by/4.0/).

Please follow instructions listed in the citation reference provided at http://data.aad.gov.au/aadc/metadata/citation.cfm?entry_id=AAS_3016_Macquarie_Island_flora_models when using these data.

This metadata record is publicly available.

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Full description

Species distribution models (SDMs) are developed for nine major vascular plant taxa native to Macquarie Island, based on field data (point locations with three categories for each taxon: presence/ less than 25% foliage cover / greater than 25% cover). Spatial models of total range and core range (where the taxon is a dominant feature of the vegetation) for each taxon were used to predict the distribution of vegetation communities.

Lineage

Progress Code: completed
Statement: Field data are collated from various sources over an 11 year period so there may be some temporal variation.

Notes

Purpose
This research aims to: 1) map the major structural vegetation types across Macquarie Island by modelling the core range of the dominant vascular plant species which are characteristic of the different vegetation formations, 2) test the efficacy of the core range approach in determining vegetation assemblages compared to a presence/absence approach, 3) test whether including satellite-derived spectral data improves the predictive performance of SDMs compared to models using only terrain variables. 4) determine the relative importance of environmental predictor variables for each of the nine taxa.

Data time period: 2007-01-01 to 2018-03-01

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158.97491,-54.47323 158.97491,-54.78802 158.75244,-54.78802 158.75244,-54.47323 158.97491,-54.47323

158.863675,-54.630625

text: westlimit=158.75244; southlimit=-54.78802; eastlimit=158.97491; northlimit=-54.47323

Subjects
AMD | AMD/AU | CEOS | Computer > Computer | EARTH SCIENCE > BIOLOGICAL CLASSIFICATION > PLANTS > ANGIOSPERMS (FLOWERING PLANTS) | EARTH SCIENCE > BIOSPHERE > VEGETATION > DOMINANT SPECIES | EARTH SCIENCE > LAND SURFACE > LAND USE/LAND COVER > LAND USE/LAND COVER CLASSIFICATION > VEGETATION INDEX | GEOGRAPHIC REGION > POLAR | MODELS | OCEAN > SOUTHERN OCEAN > MACQUARIE ISLAND | biota | environment |

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Other Information
Download the dataset. (GET DATA > DIRECT DOWNLOAD)

uri : https://data.aad.gov.au/eds/5502/download

Public information for AAS project AAS_3016 (PROJECT HOME PAGE)

uri : https://projects.aad.gov.au/report_project_public.cfm?project_no=AAS_3016

Citation reference for this metadata record and dataset. (VIEW RELATED INFORMATION)

uri : https://data.aad.gov.au/aadc/metadata/citation.cfm?entry_id=AAS_3016_Macquarie_Island_flora_models

Identifiers
  • global : AAS_3016_Macquarie_Island_flora_models