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Developing spatially explicit and stochastic measures of ecological departure

Background Ecological departure is a metric applied to mapped ecological systems measuring dissimilarity between the distributions of observed and expected proportions of non-stochastic reference vegetation classes within an area. Aims We created spatially explicit measures of ecological departure i...

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Bibliographic Details
Published in:International journal of wildland fire 2024-04, Vol.33 (4)
Main Authors: Provencher, Louis, Byer, Sarah, Badik, Kevin J., Clifford, Michael J.
Format: Article
Language:English
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Summary:Background Ecological departure is a metric applied to mapped ecological systems measuring dissimilarity between the distributions of observed and expected proportions of non-stochastic reference vegetation classes within an area. Aims We created spatially explicit measures of ecological departure incorporating stochasticity for each ecological system and all ecological systems from a central Nevada, USA, landscape. Methods Spatially explicit ecological departures were estimated from a radius from each pixel governed by a distance-decay function within a moving window. Variability was introduced by simulating replicate climate time series for each spatial reference condition and calculating departure per replicate. Key results Single-system spatial ecological departure was high and extensive, except for one area of low-elevation groundwater-dependent systems. Variance of spatial ecological departure was extensively low, except in areas of lower ecological departure, despite vegetation differences among replicates. The multiple-system ecological departure exhibited lower values. Conclusions Spatial ecological departure is warranted for efficient land management as results were concordant between non-spatial and spatial metrics; however, rapid coding languages will be required. Implications Spatially explicit ecological departure of both single and multiple systems facilitate localised vegetation and wildlife habitat management and land protection decisions.
ISSN:1049-8001
1448-5516
DOI:10.1071/WF23038