Dataset: Tenure of Australia's forests (2018)


Description

This dataset has been superseded by the Tenure of Australia's forests (2023). For further information please see:
https://data.gov.au/data/dataset/tenure-of-australia-s-forests-2023

Tenure of Australia’s forests (2018) is a continental spatial dataset of
national land tenure types, assembled for Australia's State of the Forests
Report 2018
. It was developed from land tenure information from multiple
sources, including contributions from Australian, state and territory
government agencies and external sources. The tenure dataset is then
combined with forest cover information sourced from the Forests of
Australia (2018)
dataset: https://data.gov.au/data/dataset/forests-of-australia-2018

The dataset was compiled by the Australian Bureau of Agricultural and
Resource Economics and Sciences (ABARES) for the National Forest
Inventory (NFI), a collaborative partnership between the Australian and
state and territory governments. The role of the NFI is to collate, integrate
and communicate information on Australia’s forests. The NFI applies a
national classification to state and territory data to allow seamless
integration of these datasets. Multiple independent sources of external
data are used to fill data gaps and improve the quality of the final dataset.

The NFI classifies land tenure into six national tenure classes suitable for
application to forest: Leasehold forest, Multiple-use public forest, Nature
conservation reserve, Other Crown land, Private forest and Unresolved
tenure.

The Tenure of Australia’s forests (2018) dataset is produced to fulfil
requirements of Australia's National Forest Policy Statement and the
Regional Forests Agreement Act 2002 (Cwth), and is used by the Australian
Government for domestic and international reporting.

This dataset is updated every five years for the Australia's State of the Forests Report Series. Further information can be found on the Forests Australia website: http://www.agriculture.gov.au/abares/forestsaustralia/sofr/sofr-2018

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