Developing spatially explicit and stochastic measures of ecological departure
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.
Subject Tags
- Conservation Technology
- Data Science and Artificial Intelligence
- Ecosystem management
Abstract
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.
Citation
Provencher, L., Byer, S., Badik, K.J. and Clifford, M.J., 2024. Developing spatially explicit and stochastic measures of ecological departure. International Journal of Wildland Fire, 33(4), p.WF23038. https://doi.org/10.1071/WF23038
TNC Authors
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Louis Provencher
Director of Science, Nevada
The Nature Conservancy
Email: lprovencher@tnc.org -
Sarah Byer
Spatial/GIS Analyst, Nevada
The Nature Conservancy
Email: sarah.byer@tnc.org -
Kevin Badik
Rangeland Ecologist, Nevada
The Nature Conservancy
Email: kevin.badik@tnc.org -
Michael Clifford
Conservation Scientist, Nevada
The Nature Conservancy
Email: michael.clifford@tnc.org