Management gains are changes in the individual attributes, relative to a reference value, predicted to occur as a result of 20 years of offset management. Points are medians and lines are upper and lower quartiles derived from 2100 randomisations across 25 expert probability distributions. The broad qualitative site quality is supported by numeric estimates of aggregate vegetation condition, out of 100, derived from expert BRT models (condition score in legend in brackets).</p
Natural resource projects are increasingly governed by requirements that biological impacts be balan...
Model selection results for predicting 2nd quartile species richness based on minimum temperature, v...
Regional-scale mapping of vegetation characteristics such as extent, configuration, composition and ...
Boxplots of expert estimates of vegetation condition (A, E), management gain (B, F), averted loss (C...
Each point represents the mean opinion of an individual expert, derived from their elicited probabil...
The data provides randomly drawn data from 25 expert subjective probability distributions of the ref...
Biodiversity offsetting typically involves the trade of certain losses of habitat with uncertain fut...
Expert elicited judgments of current and future aggregate 'vegetation condition' of 64 synthetic sit...
For each attribute, data are derived by pooling 2100 random draws from the future and reference prob...
a<p>SD, Standard deviation</p>b<p>SE, Standard error</p><p>Means and ranges for best linear unbiased...
<p>Standard errors of prediction accuracies are provided in parentheses.</p><p>Mean prediction accur...
International audienceTo identify the relative roles of climatic, edaphic and management factors in ...
A fundamental principle underpinning conservation is to evaluate the condition of native vegetation ...
The three Western Slope Grassy Woodland (WSGW) scenarios for which future values of 13 vegetation at...
<p>All models are fitted to data from 338 visits to 42 transect sites. Optimum scale: landscape scal...
Natural resource projects are increasingly governed by requirements that biological impacts be balan...
Model selection results for predicting 2nd quartile species richness based on minimum temperature, v...
Regional-scale mapping of vegetation characteristics such as extent, configuration, composition and ...
Boxplots of expert estimates of vegetation condition (A, E), management gain (B, F), averted loss (C...
Each point represents the mean opinion of an individual expert, derived from their elicited probabil...
The data provides randomly drawn data from 25 expert subjective probability distributions of the ref...
Biodiversity offsetting typically involves the trade of certain losses of habitat with uncertain fut...
Expert elicited judgments of current and future aggregate 'vegetation condition' of 64 synthetic sit...
For each attribute, data are derived by pooling 2100 random draws from the future and reference prob...
a<p>SD, Standard deviation</p>b<p>SE, Standard error</p><p>Means and ranges for best linear unbiased...
<p>Standard errors of prediction accuracies are provided in parentheses.</p><p>Mean prediction accur...
International audienceTo identify the relative roles of climatic, edaphic and management factors in ...
A fundamental principle underpinning conservation is to evaluate the condition of native vegetation ...
The three Western Slope Grassy Woodland (WSGW) scenarios for which future values of 13 vegetation at...
<p>All models are fitted to data from 338 visits to 42 transect sites. Optimum scale: landscape scal...
Natural resource projects are increasingly governed by requirements that biological impacts be balan...
Model selection results for predicting 2nd quartile species richness based on minimum temperature, v...
Regional-scale mapping of vegetation characteristics such as extent, configuration, composition and ...