Predicting the impacts of climate change on the distribution and conservation of endemic forest land snails of Madeira Island
Autor(a) principal: | |
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Data de Publicação: | 2014 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10362/13783 |
Resumo: | Climate change is emerging as one of the major threats to natural communities of the world’s ecosystems; and biodiversity hotspots, such as Madeira Island, might face a challenging future in the conservation of endangered land snails’ species. With this thesis, progresses have been made in order to properly understand the impact of climate on these vulnerable taxa; and species distribution models coupled with GIS and climate change scenarios have become crucial to understand the relations between species distribution and environmental conditions, identifying threats and determining biodiversity vulnerability. With the use of MaxEnt, important changes in the species suitable areas were obtained. Laurel forest species, highly dependent on precipitation and relative humidity, may face major losses on their future suitable areas, leading to the possible extinction of several endangered species, such as Leiostyla heterodon. Despite the complexity of the biological systems, the intrinsic uncertainty of species distribution models and the lack of information about land snails’ functional traits, this analysis contributed to a pioneer study on the impacts of climate change on endemic species of Madeira Island. The future inclusion of predictions of the effect of climate change on species distribution as part of IUCN assessments could contribute to species prioritizing, promoting specific management actions and maximizing conservation investment. |
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Predicting the impacts of climate change on the distribution and conservation of endemic forest land snails of Madeira IslandClimate changePredictive modelsLand snailsMaxEntGeographic Information SystemsMadeira IslandClimate change is emerging as one of the major threats to natural communities of the world’s ecosystems; and biodiversity hotspots, such as Madeira Island, might face a challenging future in the conservation of endangered land snails’ species. With this thesis, progresses have been made in order to properly understand the impact of climate on these vulnerable taxa; and species distribution models coupled with GIS and climate change scenarios have become crucial to understand the relations between species distribution and environmental conditions, identifying threats and determining biodiversity vulnerability. With the use of MaxEnt, important changes in the species suitable areas were obtained. Laurel forest species, highly dependent on precipitation and relative humidity, may face major losses on their future suitable areas, leading to the possible extinction of several endangered species, such as Leiostyla heterodon. Despite the complexity of the biological systems, the intrinsic uncertainty of species distribution models and the lack of information about land snails’ functional traits, this analysis contributed to a pioneer study on the impacts of climate change on endemic species of Madeira Island. The future inclusion of predictions of the effect of climate change on species distribution as part of IUCN assessments could contribute to species prioritizing, promoting specific management actions and maximizing conservation investment.Cardoso, Pedro Miguel BondosoCameron, Robert Andrew DuncanRUNGouveia, Cátia Sofia Alves2014-11-25T10:33:30Z2014-01-272014-01-27T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/13783TID:201371065enginfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T03:48:33Zoai:run.unl.pt:10362/13783Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:21:24.725513Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Predicting the impacts of climate change on the distribution and conservation of endemic forest land snails of Madeira Island |
title |
Predicting the impacts of climate change on the distribution and conservation of endemic forest land snails of Madeira Island |
spellingShingle |
Predicting the impacts of climate change on the distribution and conservation of endemic forest land snails of Madeira Island Gouveia, Cátia Sofia Alves Climate change Predictive models Land snails MaxEnt Geographic Information Systems Madeira Island |
title_short |
Predicting the impacts of climate change on the distribution and conservation of endemic forest land snails of Madeira Island |
title_full |
Predicting the impacts of climate change on the distribution and conservation of endemic forest land snails of Madeira Island |
title_fullStr |
Predicting the impacts of climate change on the distribution and conservation of endemic forest land snails of Madeira Island |
title_full_unstemmed |
Predicting the impacts of climate change on the distribution and conservation of endemic forest land snails of Madeira Island |
title_sort |
Predicting the impacts of climate change on the distribution and conservation of endemic forest land snails of Madeira Island |
author |
Gouveia, Cátia Sofia Alves |
author_facet |
Gouveia, Cátia Sofia Alves |
author_role |
author |
dc.contributor.none.fl_str_mv |
Cardoso, Pedro Miguel Bondoso Cameron, Robert Andrew Duncan RUN |
dc.contributor.author.fl_str_mv |
Gouveia, Cátia Sofia Alves |
dc.subject.por.fl_str_mv |
Climate change Predictive models Land snails MaxEnt Geographic Information Systems Madeira Island |
topic |
Climate change Predictive models Land snails MaxEnt Geographic Information Systems Madeira Island |
description |
Climate change is emerging as one of the major threats to natural communities of the world’s ecosystems; and biodiversity hotspots, such as Madeira Island, might face a challenging future in the conservation of endangered land snails’ species. With this thesis, progresses have been made in order to properly understand the impact of climate on these vulnerable taxa; and species distribution models coupled with GIS and climate change scenarios have become crucial to understand the relations between species distribution and environmental conditions, identifying threats and determining biodiversity vulnerability. With the use of MaxEnt, important changes in the species suitable areas were obtained. Laurel forest species, highly dependent on precipitation and relative humidity, may face major losses on their future suitable areas, leading to the possible extinction of several endangered species, such as Leiostyla heterodon. Despite the complexity of the biological systems, the intrinsic uncertainty of species distribution models and the lack of information about land snails’ functional traits, this analysis contributed to a pioneer study on the impacts of climate change on endemic species of Madeira Island. The future inclusion of predictions of the effect of climate change on species distribution as part of IUCN assessments could contribute to species prioritizing, promoting specific management actions and maximizing conservation investment. |
publishDate |
2014 |
dc.date.none.fl_str_mv |
2014-11-25T10:33:30Z 2014-01-27 2014-01-27T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10362/13783 TID:201371065 |
url |
http://hdl.handle.net/10362/13783 |
identifier_str_mv |
TID:201371065 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799137854623842304 |