A fuzzy logic approach to analyse the suitability of nesting habitat for greater sage-grouse in western Wyoming
Zabihi, K.; Paige, G.B.; Hild, A.L.; Miller, S.N.; Wuenschel, A.; Holloran, M.J. (2017). A fuzzy logic approach to analyse the suitability of nesting habitat for greater sage-grouse in western Wyoming. Journal of Spatial Science 62(2): 215-234. https://dx.doi.org/10.1080/14498596.2017.1292965
In: Journal of Spatial Science. Mapping Sciences Institute/Surveying & Spatial Sciences Institute: East Perth, W.A.. ISSN 1449-8596; e-ISSN 1836-5655, more
|  |
| Keyword |
Centrocercus urophasianus
|
| Author keywords |
Habitat suitability classification; fuzzy gamma function; greater sage-grouse habitat; Centrocercus urophasianus |
| Authors | | Top |
- Zabihi, K.
- Paige, G.B.
- Hild, A.L.
|
- Miller, S.N.
- Wuenschel, A.
- Holloran, M.J.
|
|
| Abstract |
Habitat suitability analysis is complex and requires integration of multiple attributes at a range of spatial scales. We use fine- and broad-scale variables within a spatial modelling framework to determine the suitability of greater sage-grouse nesting habitat using fuzzy logic. Fuzzy theory allows for a landscape component to have full, partial, or no membership in a particular management target. We used seven biophysical and anthropogenic variables correlated with nest site locations to build the fuzzy model. Using field and remotely sensed data and expert opinion, we developed fuzzy functions to define numerical membership values describing relationships between landscape characteristics and nesting habitat suitability. We used a fuzzy gamma overlay function to define five suitability classes in the resulting habitat map. Using a fuzzy logic model, we were able to spatially distinguish the suitability of nesting habitat using fine- and broad-scale attributes and characterise the uncertainty of the habitat model. |
|
