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Value of information of managing key threatening processes in NSW

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About this Collection

Value of information of managing key threatening processes in NSW


This dataset contains anonymised, expert elicited data about the management effectiveness of 19 Key Threatening Processes listed under the NSW Biodiversity Conservation Act 2016. Two key pieces of information are generated using the data and the associated R and Matlab code: (1) the expected effectiveness of management under current uncertainty, an... more


Conservation and Biodiversity


https://doi.org/10.25919/5c203985b29b5


2018


2018


CSIRO Enquiries
CSIROEnquiries@csiro.au
1300 363 400

Key Threatening processes biodiversity conservation value of information New South Wales threatened species threatened ecological communities


Raw data was collected by expert elicitation in collaboration with species and threat management experts from NSW. Ethics approval was granted by CSIRO Human Research Ethics (project approval number 006/18). The project used an expert elicitation approach to evaluate the value of information for improving the management of 19 listed KTPs in NSW. A total of 261 experts were invited to contribute by email, of which 65 provided estimates. Species were allocated to functional groups based on similar responses to KTPs and presented to experts. For each KTP and functional group, we elicited three pieces of information from experts: (1) the likelihood that best-practice management would effectively manage the KTP; (2) the average probability that functional groups of species would persist if no management was undertaken; and (3) the average probability that functional groups of species would persist if best-practice management was applied. In each estimation, experts provided lower, upper and best guesses, as well as their confidence that the true value lay between the lower and upper estimates. Estimates were then fitted with probability distributions representing the likelihood of effective management and the likelihood of functional group response for a given level of management effectiveness. These distributions were used to calculate the expected gain in persistence for each functional group resulting from managing each KTP under (i) current knowledge and (ii) perfect knowledge, i.e. if uncertainty about management outcomes was eliminated. The expected value of perfect information (EVPI) was then computed for each functional group; this quantified the likely gains from removing uncertainty about management outcomes. KTPs with high EVPI are good candidates for research into management effectiveness.


Data was collected in collaboration with the funding client, the NSW Office of Environment and Heritage.


CSIRO Data Licence


CSIRO (Australia), Office of Environment and Heritage, New South Wales (Australia)


Nicol, Sam; Chades, Iadine; Brazill Boast, James; Gorrod, Emma; McSorley, Adam (2018): Value of information of managing key threatening processes in NSW. v1. CSIRO. Data Collection. https://doi.org/10.25919/5c203985b29b5


All Rights (including copyright) CSIRO, Office of Environment and Heritage, New South Wales 2018.


Although the associated metadata is public, the files (if any) have not been approved for general release. Please phone or email the contact person for this collection to discuss access to the files.

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Location Details

31°11′60″ S


146°15′0″ E


WGS84


About this Project

A value of information analysis to determine the species that would benefit the most from an adaptive management program


With inadequate resources to manage the threats facing threatened species and ecological communities worldwide, achieving projected management outcomes is critical for efficient resource allocation and species recovery. Despite this, conservation plans to mitigate threats rarely articulate the likelihood of management success. We developed a value ... more


Iadine Chades





Sam Nicol


Iadine Chades


James Brazill Boast


Emma Gorrod


Adam McSorley


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