The data provides randomly drawn data from 25 expert subjective probability distributions of the reference and future with offset values for 13 vegetation attributes with three different starting scenarios (see Dorrough, Sinclair and Oliver for full details). The prefix to each column heading indicates whether the data are the initial values provided to the experts (Start_), elicited reference values (Ref_) or elicited future values with a biodiversity offset (OS_). Remaining columns are calculated from these as per Dorrough, Sinclair and Oliver (submitted) Expert predictions of changes in vegetation condition reveal perceived risks in biodiversity offsetting PLOS One <br
Conservation managers are under increasing pressure to make decisions about the allocation of finite...
Developers are often required by law to offset environmental impacts through targeted conservation a...
<p>Background/Question/Methods</p> <p>Spatially mapping change and trends in the state of vegetation...
Boxplots of expert estimates of vegetation condition (A, E), management gain (B, F), averted loss (C...
Randomly drawn data from expert (25 experts) subjective probability distributions for 11 vegetation ...
Biodiversity offsetting typically involves the trade of certain losses of habitat with uncertain fut...
Biodiversity offsetting typically involves the trade of certain losses of habitat with uncertain fut...
For each attribute, data are derived by pooling 2100 random draws from the future and reference prob...
Expert elicited judgments of current and future aggregate 'vegetation condition' of 64 synthetic sit...
Management gains are changes in the individual attributes, relative to a reference value, predicted ...
Each point represents the mean opinion of an individual expert, derived from their elicited probabil...
The three Western Slope Grassy Woodland (WSGW) scenarios for which future values of 13 vegetation at...
1. Predicting restoration outcomes requires an understanding of the natural variability of ecosystem...
Reference conditions remain widely used as a benchmark for ecosystem management, but there remains c...
Several methods of measuring biodiversity in development-offset trades exist. However, there is litt...
Conservation managers are under increasing pressure to make decisions about the allocation of finite...
Developers are often required by law to offset environmental impacts through targeted conservation a...
<p>Background/Question/Methods</p> <p>Spatially mapping change and trends in the state of vegetation...
Boxplots of expert estimates of vegetation condition (A, E), management gain (B, F), averted loss (C...
Randomly drawn data from expert (25 experts) subjective probability distributions for 11 vegetation ...
Biodiversity offsetting typically involves the trade of certain losses of habitat with uncertain fut...
Biodiversity offsetting typically involves the trade of certain losses of habitat with uncertain fut...
For each attribute, data are derived by pooling 2100 random draws from the future and reference prob...
Expert elicited judgments of current and future aggregate 'vegetation condition' of 64 synthetic sit...
Management gains are changes in the individual attributes, relative to a reference value, predicted ...
Each point represents the mean opinion of an individual expert, derived from their elicited probabil...
The three Western Slope Grassy Woodland (WSGW) scenarios for which future values of 13 vegetation at...
1. Predicting restoration outcomes requires an understanding of the natural variability of ecosystem...
Reference conditions remain widely used as a benchmark for ecosystem management, but there remains c...
Several methods of measuring biodiversity in development-offset trades exist. However, there is litt...
Conservation managers are under increasing pressure to make decisions about the allocation of finite...
Developers are often required by law to offset environmental impacts through targeted conservation a...
<p>Background/Question/Methods</p> <p>Spatially mapping change and trends in the state of vegetation...