Applying Fuzzy Logic to Comparative Distribution Modelling: A Case Study with Two Sympatric Amphibians
We modelled the distributions of two toads (Bufo bufo and Epidalea calamita) in the Iberian Peninsula using the favourability function, which makes predictions directly comparable for different species and allows fuzzy logic operations to relate different models. The fuzzy intersection between indiv...
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| Format: | Article |
| Language: | English |
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Wiley
2012-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1100/2012/428206 |
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| author | A. Márcia Barbosa Raimundo Real |
| author_facet | A. Márcia Barbosa Raimundo Real |
| author_sort | A. Márcia Barbosa |
| collection | DOAJ |
| description | We modelled the distributions of two toads (Bufo bufo and Epidalea calamita) in the Iberian Peninsula using the favourability function, which makes predictions directly comparable for different species and allows fuzzy logic operations to relate different models. The fuzzy intersection between individual models, representing favourability for the presence of both species simultaneously, was compared with another favourability model built on the presences shared by both species. The fuzzy union between individual models, representing favourability for the presence of any of the two species, was compared with another favourability model based on the presences of either or both of them. The fuzzy intersections between favourability for each species and the complementary of favourability for the other (corresponding to the logical operation “A and not B”) were compared with models of exclusive presence of one species versus the exclusive presence of the other. The results of modelling combined species data were highly similar to those of fuzzy logic operations between individual models, proving fuzzy logic and the favourability function valuable for comparative distribution modelling. We highlight several advantages of fuzzy logic over other forms of combining distribution models, including the possibility to combine multiple species models for management and conservation planning. |
| format | Article |
| id | doaj-art-a110c0a161314e5185d9fc23e7fd483c |
| institution | Kabale University |
| issn | 1537-744X |
| language | English |
| publishDate | 2012-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-a110c0a161314e5185d9fc23e7fd483c2025-02-03T06:13:10ZengWileyThe Scientific World Journal1537-744X2012-01-01201210.1100/2012/428206428206Applying Fuzzy Logic to Comparative Distribution Modelling: A Case Study with Two Sympatric AmphibiansA. Márcia Barbosa0Raimundo Real1Rui Nabeiro Biodiversity Chair, Centro de Investigação em Biodiversidade e Recursos Genéticos (CIBIO), Universidade de Évora, 7004-516 Évora, PortugalLaboratorio de Biogeografía, Diversidad y Conservación, Departamento de Biología Animal, Facultad de Ciencias, Universidad de Málaga, 29071 Málaga, SpainWe modelled the distributions of two toads (Bufo bufo and Epidalea calamita) in the Iberian Peninsula using the favourability function, which makes predictions directly comparable for different species and allows fuzzy logic operations to relate different models. The fuzzy intersection between individual models, representing favourability for the presence of both species simultaneously, was compared with another favourability model built on the presences shared by both species. The fuzzy union between individual models, representing favourability for the presence of any of the two species, was compared with another favourability model based on the presences of either or both of them. The fuzzy intersections between favourability for each species and the complementary of favourability for the other (corresponding to the logical operation “A and not B”) were compared with models of exclusive presence of one species versus the exclusive presence of the other. The results of modelling combined species data were highly similar to those of fuzzy logic operations between individual models, proving fuzzy logic and the favourability function valuable for comparative distribution modelling. We highlight several advantages of fuzzy logic over other forms of combining distribution models, including the possibility to combine multiple species models for management and conservation planning.http://dx.doi.org/10.1100/2012/428206 |
| spellingShingle | A. Márcia Barbosa Raimundo Real Applying Fuzzy Logic to Comparative Distribution Modelling: A Case Study with Two Sympatric Amphibians The Scientific World Journal |
| title | Applying Fuzzy Logic to Comparative Distribution Modelling: A Case Study with Two Sympatric Amphibians |
| title_full | Applying Fuzzy Logic to Comparative Distribution Modelling: A Case Study with Two Sympatric Amphibians |
| title_fullStr | Applying Fuzzy Logic to Comparative Distribution Modelling: A Case Study with Two Sympatric Amphibians |
| title_full_unstemmed | Applying Fuzzy Logic to Comparative Distribution Modelling: A Case Study with Two Sympatric Amphibians |
| title_short | Applying Fuzzy Logic to Comparative Distribution Modelling: A Case Study with Two Sympatric Amphibians |
| title_sort | applying fuzzy logic to comparative distribution modelling a case study with two sympatric amphibians |
| url | http://dx.doi.org/10.1100/2012/428206 |
| work_keys_str_mv | AT amarciabarbosa applyingfuzzylogictocomparativedistributionmodellingacasestudywithtwosympatricamphibians AT raimundoreal applyingfuzzylogictocomparativedistributionmodellingacasestudywithtwosympatricamphibians |