An invasion risk map for non-native aquatic macrophytes of the Iberian Peninsula
Freshwater systems are particularly susceptible to non-native organisms, owing to their high sensitivity to the impacts that are caused by these organisms. Species distribution models, which are based on both environmental and socio-economic variables, facilitate the identification of the most vulne...
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Published in | Anales del Jardín Botánico de Madrid (1979) Vol. 74; no. 1; pp. 55 - e055 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Consejo Superior de Investigaciones Científicas
01.01.2017
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Subjects | |
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Abstract | Freshwater systems are particularly susceptible to non-native organisms, owing to their high sensitivity to the impacts that are caused by these organisms. Species distribution models, which are based on both environmental and socio-economic variables, facilitate the identification of the most vulnerable areas for the spread of non-native species. We used MaxEnt to predict the potential distribution of 20 non-native aquatic macrophytes in the Iberian Peninsula. Some selected variables, such as the temperature seasonality and the precipitation in the driest quarter, highlight the importance of the climate on their distribution. Notably, the human influence in the territory appears as a key variable in the distribution of studied species. The model discriminated between favorable and unfavorable areas with high accuracy. We used the model to build an invasion risk map of aquatic macrophytes for the Iberian Peninsula that included results from 20 individual models. It showed that the most vulnerable areas are located near to the sea, the major rivers basins, and the high population density areas. These facts suggest the importance of the human impact on the colonization and distribution of non-native aquatic macrophytes in the Iberian Peninsula, and more precisely agricultural development during the Green Revolution at the end of the 70’s. Our work also emphasizes the utility of species distribution models for the prevention and management of biological invasions. |
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AbstractList | Freshwater systems are particularly susceptible to non-native organisms,
owing to their high sensitivity to the impacts that are caused by
these organisms. Species distribution models, which are based on both
environmental and socio-economic variables, facilitate the identification
of the most vulnerable areas for the spread of non-native species.
We used MaxEnt to predict the potential distribution of 20 non-native
aquatic macrophytes in the Iberian Peninsula. Some selected variables,
such as the temperature seasonality and the precipitation in the driest
quarter, highlight the importance of the climate on their distribution.
Notably, the human influence in the territory appears as a key variable
in the distribution of studied species. The model discriminated between
favorable and unfavorable areas with high accuracy. We used the model
to build an invasion risk map of aquatic macrophytes for the Iberian
Peninsula that included results from 20 individual models. It showed
that the most vulnerable areas are located near to the sea, the major
rivers basins, and the high population density areas. These facts suggest
the importance of the human impact on the colonization and distribution
of non-native aquatic macrophytes in the Iberian Peninsula, and
more precisely agricultural development during the Green Revolution
at the end of the 70’s. Our work also emphasizes the utility of species
distribution models for the prevention and management of biological
invasions.
Los sistemas acuáticos son especialmente susceptibles a los organismos
exóticos debido a su elevada fragilidad y a los impactos que provocan estas
especies en este tipo de hábitats. Los modelos de distribución de especies,
basados en variables ambientales y socioeconómicas, facilitan la identificación
de las áreas más vulnerables ante la expansión de especies exóticas.
Se utilizó MaxEnt para predecir la distribución potencial de 20 macrofitos
exóticos en la Península Ibérica. Algunas de las variables estudiadas, como
la estacionalidad de la temperatura y la precipitación del cuatrimestre más
seco, ponen en evidencia la importancia de los factores climáticos en su
distribución. Además, la influencia humana en el territorio se presenta
como una variable clave en la distribución de las especies estudiadas. El
modelo obtenido discrimina claramente entre áreas favorables y desfavorables
con mucha precisión. Se utilizó el modelo para construir un mapa
de riesgo de invasión de macrófitos acuáticos para la Península Ibérica
que incluyó los resultados de 20 modelos individuales y que muestra que
las áreas más vulnerables son las zonas cercanas al mar, las cuencas de los
grandes ríos y las zonas con una alta densidad de población. Estos resultados
vinculan la importancia del impacto humano en la colonización y la
distribución de los macrófitos acuáticos exóticos en la Península Ibérica y,
más concretamente, con la Revolución Verde de finales de la década de los
setenta. Nuestro trabajo enfatiza la utilidad de los modelos de distribución
de especies para la prevención y gestión de invasiones biológicas. Freshwater systems are particularly susceptible to non-native organisms, owing to their high sensitivity to the impacts that are caused by these organisms. Species distribution models, which are based on both environmental and socio-economic variables, facilitate the identification of the most vulnerable areas for the spread of non-native species. We used MaxEnt to predict the potential distribution of 20 non-native aquatic macrophytes in the Iberian Peninsula. Some selected variables, such as the temperature seasonality and the precipitation in the driest quarter, highlight the importance of the climate on their distribution. Notably, the human influence in the territory appears as a key variable in the distribution of studied species. The model discriminated between favorable and unfavorable areas with high accuracy. We used the model to build an invasion risk map of aquatic macrophytes for the Iberian Peninsula that included results from 20 individual models. It showed that the most vulnerable areas are located near to the sea, the major rivers basins, and the high population density areas. These facts suggest the importance of the human impact on the colonization and distribution of non-native aquatic macrophytes in the Iberian Peninsula, and more precisely agricultural development during the Green Revolution at the end of the 70’s. Our work also emphasizes the utility of species distribution models for the prevention and management of biological invasions. |
Author | Rodríguez-Merino, Argantonio Fernández-Zamudio, Rocío García-Murillo, Pablo |
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ContentType | Journal Article |
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SubjectTerms | Aquatic plants bioclimatic factors biological invasions ecological niche models economic factors Ecosistemas acuáticos continentales especies exóticas factores bioclimáticos factores socioeconómicos freshwater ecosystems invasiones biológicas map risk assessment mapa de evaluación de riesgos MaxEnt modelos de distribución de especies modelos de nicho ecológico native species non non-native species plantas acuáticas socio socio-economic factors species distribution model |
Title | An invasion risk map for non-native aquatic macrophytes of the Iberian Peninsula |
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