Publicação
Effects of species' traits and data characteristics on distribution models of threatened invertebrates
| Resumo: | Effects of species’ traits and data characteristics on distribution models of threatened invertebrates.— The lack of information about the distribution of threatened species inhibits the development of strategies for their conservation. This is a particularly important problem when considering invertebrates. Here we evaluate the effects of species’ traits and data characteristics on the accuracy of species distribution models (SDM) of 20 threatened Iberian invertebrates. We found that the accuracy of the predictions was mostly affected by the characteristics of the data. Species whose distributions were most accurately modelled were those with a greater sample size or smaller relative occurrence area (ROA). Species in habitats that were difficult to detect using GIS data, such as riparian species, tended to be more difficult to predict. |
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| Autores principais: | Chefaoui, Rosa |
| Outros Autores: | Lobo, J. M.; Hortal, Joaquín |
| Assunto: | Ecological traits Geographical distribution range Iberian Peninsula Predictive accuracy Sample size Species distribution modelling |
| Ano: | 2011 |
| País: | Portugal |
| Tipo de documento: | artigo |
| Tipo de acesso: | acesso restrito |
| Instituição associada: | Universidade do Algarve |
| Idioma: | português |
| Origem: | Sapientia - Universidade do Algarve |
| Resumo: | Effects of species’ traits and data characteristics on distribution models of threatened invertebrates.— The lack of information about the distribution of threatened species inhibits the development of strategies for their conservation. This is a particularly important problem when considering invertebrates. Here we evaluate the effects of species’ traits and data characteristics on the accuracy of species distribution models (SDM) of 20 threatened Iberian invertebrates. We found that the accuracy of the predictions was mostly affected by the characteristics of the data. Species whose distributions were most accurately modelled were those with a greater sample size or smaller relative occurrence area (ROA). Species in habitats that were difficult to detect using GIS data, such as riparian species, tended to be more difficult to predict. |
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