Modeling of the potential distribution of Eichhornia crassipes on a global scale: risks and threats to water ecosystems
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Revista Ambiente & Água |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1980-993X2020000200311 |
Resumo: | Abstract The water hyacinth (Eichhornia crassipes) is listed among the 100 worst invasive plants and was ranked as the 11th worst invasive species in Europe, being a threat to aquatic biodiversity and water-provision. Predicting species distribution is the first step to understanding niche suitability, forecasting the invasion impact and building resilience against this species. In this study, we used a potential distribution model to assess the global risk of water hyacinth invasion by overlapping maps of highly suitable areas for water hyacinth occurrence and areas of biological importance and water scarcity. The MaxEnt - Maximum Entropy algorithm was used in the construction of the model and included five global bioclimatic layers and one of urbanized areas. Among the variables used, occurrence is mainly explained by urban areas, highlighting the importance of cities as a source or dispersion mechanism of the water hyacinth. Global biodiversity hotspots are predominantly situated in high suitability regions for the species. Ramsar sites and global protected areas are at a lower risk level compared to hotspots; however, future climate change and urban growth scenarios could put these areas at higher risk for invasion. Threats posed by the water hyacinth are possibly more acute in regions suffering from current or chronic drought. The results suggest that niche models that do not consider anthropic variables may be underestimating potential distribution of invasive species. Furthermore, the ecological plasticity of the water hyacinth and its close association with cities increase the concern about the impact of this species on the environment and on water security. |
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Modeling of the potential distribution of Eichhornia crassipes on a global scale: risks and threats to water ecosystemsinvasive speciesspecies distribution modelingwater hyacinthAbstract The water hyacinth (Eichhornia crassipes) is listed among the 100 worst invasive plants and was ranked as the 11th worst invasive species in Europe, being a threat to aquatic biodiversity and water-provision. Predicting species distribution is the first step to understanding niche suitability, forecasting the invasion impact and building resilience against this species. In this study, we used a potential distribution model to assess the global risk of water hyacinth invasion by overlapping maps of highly suitable areas for water hyacinth occurrence and areas of biological importance and water scarcity. The MaxEnt - Maximum Entropy algorithm was used in the construction of the model and included five global bioclimatic layers and one of urbanized areas. Among the variables used, occurrence is mainly explained by urban areas, highlighting the importance of cities as a source or dispersion mechanism of the water hyacinth. Global biodiversity hotspots are predominantly situated in high suitability regions for the species. Ramsar sites and global protected areas are at a lower risk level compared to hotspots; however, future climate change and urban growth scenarios could put these areas at higher risk for invasion. Threats posed by the water hyacinth are possibly more acute in regions suffering from current or chronic drought. The results suggest that niche models that do not consider anthropic variables may be underestimating potential distribution of invasive species. Furthermore, the ecological plasticity of the water hyacinth and its close association with cities increase the concern about the impact of this species on the environment and on water security.Instituto de Pesquisas Ambientais em Bacias Hidrográficas2020-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1980-993X2020000200311Revista Ambiente & Água v.15 n.2 2020reponame:Revista Ambiente & Águainstname:Instituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHI)instacron:IPABHI10.4136/ambi-agua.2421info:eu-repo/semantics/openAccessCordeiro,Pedro FialhoGoulart,Fernando FigueiredoMacedo,Diego RodriguesCampos,Mônica de Cássia SouzaCastro,Samuel Rodrigueseng2020-04-22T00:00:00Zoai:scielo:S1980-993X2020000200311Revistahttp://www.ambi-agua.net/PUBhttps://old.scielo.br/oai/scielo-oai.php||ambi.agua@gmail.com1980-993X1980-993Xopendoar:2020-04-22T00:00Revista Ambiente & Água - Instituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHI)false |
dc.title.none.fl_str_mv |
Modeling of the potential distribution of Eichhornia crassipes on a global scale: risks and threats to water ecosystems |
title |
Modeling of the potential distribution of Eichhornia crassipes on a global scale: risks and threats to water ecosystems |
spellingShingle |
Modeling of the potential distribution of Eichhornia crassipes on a global scale: risks and threats to water ecosystems Cordeiro,Pedro Fialho invasive species species distribution modeling water hyacinth |
title_short |
Modeling of the potential distribution of Eichhornia crassipes on a global scale: risks and threats to water ecosystems |
title_full |
Modeling of the potential distribution of Eichhornia crassipes on a global scale: risks and threats to water ecosystems |
title_fullStr |
Modeling of the potential distribution of Eichhornia crassipes on a global scale: risks and threats to water ecosystems |
title_full_unstemmed |
Modeling of the potential distribution of Eichhornia crassipes on a global scale: risks and threats to water ecosystems |
title_sort |
Modeling of the potential distribution of Eichhornia crassipes on a global scale: risks and threats to water ecosystems |
author |
Cordeiro,Pedro Fialho |
author_facet |
Cordeiro,Pedro Fialho Goulart,Fernando Figueiredo Macedo,Diego Rodrigues Campos,Mônica de Cássia Souza Castro,Samuel Rodrigues |
author_role |
author |
author2 |
Goulart,Fernando Figueiredo Macedo,Diego Rodrigues Campos,Mônica de Cássia Souza Castro,Samuel Rodrigues |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Cordeiro,Pedro Fialho Goulart,Fernando Figueiredo Macedo,Diego Rodrigues Campos,Mônica de Cássia Souza Castro,Samuel Rodrigues |
dc.subject.por.fl_str_mv |
invasive species species distribution modeling water hyacinth |
topic |
invasive species species distribution modeling water hyacinth |
description |
Abstract The water hyacinth (Eichhornia crassipes) is listed among the 100 worst invasive plants and was ranked as the 11th worst invasive species in Europe, being a threat to aquatic biodiversity and water-provision. Predicting species distribution is the first step to understanding niche suitability, forecasting the invasion impact and building resilience against this species. In this study, we used a potential distribution model to assess the global risk of water hyacinth invasion by overlapping maps of highly suitable areas for water hyacinth occurrence and areas of biological importance and water scarcity. The MaxEnt - Maximum Entropy algorithm was used in the construction of the model and included five global bioclimatic layers and one of urbanized areas. Among the variables used, occurrence is mainly explained by urban areas, highlighting the importance of cities as a source or dispersion mechanism of the water hyacinth. Global biodiversity hotspots are predominantly situated in high suitability regions for the species. Ramsar sites and global protected areas are at a lower risk level compared to hotspots; however, future climate change and urban growth scenarios could put these areas at higher risk for invasion. Threats posed by the water hyacinth are possibly more acute in regions suffering from current or chronic drought. The results suggest that niche models that do not consider anthropic variables may be underestimating potential distribution of invasive species. Furthermore, the ecological plasticity of the water hyacinth and its close association with cities increase the concern about the impact of this species on the environment and on water security. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1980-993X2020000200311 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1980-993X2020000200311 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.4136/ambi-agua.2421 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Instituto de Pesquisas Ambientais em Bacias Hidrográficas |
publisher.none.fl_str_mv |
Instituto de Pesquisas Ambientais em Bacias Hidrográficas |
dc.source.none.fl_str_mv |
Revista Ambiente & Água v.15 n.2 2020 reponame:Revista Ambiente & Água instname:Instituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHI) instacron:IPABHI |
instname_str |
Instituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHI) |
instacron_str |
IPABHI |
institution |
IPABHI |
reponame_str |
Revista Ambiente & Água |
collection |
Revista Ambiente & Água |
repository.name.fl_str_mv |
Revista Ambiente & Água - Instituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHI) |
repository.mail.fl_str_mv |
||ambi.agua@gmail.com |
_version_ |
1752129751208689664 |