Integrating reproductive phenology in ecological niche models changed the predicted future ranges of a marine invader

Aim Phenology of a wide diversity of organisms has a dependency on climate, usually with reproductive periods beginning earlier in the year and lasting longer at lower latitudes. Temperature and day length are known environmental drivers of the reproductive timing of many species. Hence, reproductiv...

Full description

Bibliographic Details
Published in:Diversity and Distributions
Main Authors: Chefaoui, Rosa, Serebryakova, Alexandra, Engelen, Aschwin, Viard, Frédérique, Serrao, Ester
Format: Article in Journal/Newspaper
Language:English
Published: Wiley 2019
Subjects:
Online Access:http://hdl.handle.net/10400.1/12532
https://doi.org/10.1111/ddi.12910
id ftunivalgarve:oai:sapientia.ualg.pt:10400.1/12532
record_format openpolar
spelling ftunivalgarve:oai:sapientia.ualg.pt:10400.1/12532 2023-05-15T18:28:38+02:00 Integrating reproductive phenology in ecological niche models changed the predicted future ranges of a marine invader Chefaoui, Rosa Serebryakova, Alexandra Engelen, Aschwin Viard, Frédérique Serrao, Ester 2019-05 http://hdl.handle.net/10400.1/12532 https://doi.org/10.1111/ddi.12910 eng eng Wiley info:eu-repo/grantAgreement/FCT/3599-PPCDT/132832/PT info:eu-repo/grantAgreement/FCT/SFRH/SFRH%2FBPD%2F85040%2F2012/PT 1366-9516 http://hdl.handle.net/10400.1/12532 doi:10.1111/ddi.12910 openAccess http://creativecommons.org/licenses/by/4.0/ CC-BY Climate change Invasive species Marine alga Phenology Sargassum muticum Species distribution models article 2019 ftunivalgarve https://doi.org/10.1111/ddi.12910 2022-05-30T08:48:40Z Aim Phenology of a wide diversity of organisms has a dependency on climate, usually with reproductive periods beginning earlier in the year and lasting longer at lower latitudes. Temperature and day length are known environmental drivers of the reproductive timing of many species. Hence, reproductive phenology is sensitive to warming and is important to be considered for reliable predictions of species distributions. This is particularly relevant for rapidly spreading non-indigenous species (NIS). In this study, we forecast the future ranges of a NIS, the seaweed Sargassum muticum, including its reproductive phenology. Location Coastal areas of the Northern Hemisphere (Pacific and Atlantic oceans). Methods We used ecological niche modelling to predict the distribution of S. muticum under two scenarios forecasting limited (RCP 2.6) and severe (RCP 8.5) future climate changes. We then refined our predictions with a hybrid model using sea surface temperature constraints on reproductive phenology. Results Under the most severe climate change scenario, we predicted northward expansions which may have significant ecological consequences for subarctic coastal ecosystems. However, in lower latitudes, habitats currently occupied by S. muticum will no longer be suitable, creating opportunities for substantial community changes. The temperature constraints imposed by the reproductive window were shown to restrict the modelled future species expansion strongly. Under the RCP 8.5 scenario, the total range area was expected to increase by 61.75% by 2100, but only by 1.63% when the reproductive temperature window was considered. Main conclusions Altogether these results exemplify the need to integrate phenology better to improve the prediction of future distributional shifts at local and regional scales. Agência financiadora Número do subsídio Fundacao para a Ciencia e a Tecnologia CCMAR/Multi/04326/2019 FCT-BIODIVERSA/004/2015 FCT-SEAS-ERA/0001/2012 SFRH/BPD/107878/2015 SFRH/BPD/85040/2012 Erasmus Mundus Doctoral Programme ... Article in Journal/Newspaper Subarctic Universidade do Algarve: Sapienta Pacific Diversity and Distributions 25 5 688 700
institution Open Polar
collection Universidade do Algarve: Sapienta
op_collection_id ftunivalgarve
language English
topic Climate change
Invasive species
Marine alga
Phenology
Sargassum muticum
Species distribution models
spellingShingle Climate change
Invasive species
Marine alga
Phenology
Sargassum muticum
Species distribution models
Chefaoui, Rosa
Serebryakova, Alexandra
Engelen, Aschwin
Viard, Frédérique
Serrao, Ester
Integrating reproductive phenology in ecological niche models changed the predicted future ranges of a marine invader
topic_facet Climate change
Invasive species
Marine alga
Phenology
Sargassum muticum
Species distribution models
description Aim Phenology of a wide diversity of organisms has a dependency on climate, usually with reproductive periods beginning earlier in the year and lasting longer at lower latitudes. Temperature and day length are known environmental drivers of the reproductive timing of many species. Hence, reproductive phenology is sensitive to warming and is important to be considered for reliable predictions of species distributions. This is particularly relevant for rapidly spreading non-indigenous species (NIS). In this study, we forecast the future ranges of a NIS, the seaweed Sargassum muticum, including its reproductive phenology. Location Coastal areas of the Northern Hemisphere (Pacific and Atlantic oceans). Methods We used ecological niche modelling to predict the distribution of S. muticum under two scenarios forecasting limited (RCP 2.6) and severe (RCP 8.5) future climate changes. We then refined our predictions with a hybrid model using sea surface temperature constraints on reproductive phenology. Results Under the most severe climate change scenario, we predicted northward expansions which may have significant ecological consequences for subarctic coastal ecosystems. However, in lower latitudes, habitats currently occupied by S. muticum will no longer be suitable, creating opportunities for substantial community changes. The temperature constraints imposed by the reproductive window were shown to restrict the modelled future species expansion strongly. Under the RCP 8.5 scenario, the total range area was expected to increase by 61.75% by 2100, but only by 1.63% when the reproductive temperature window was considered. Main conclusions Altogether these results exemplify the need to integrate phenology better to improve the prediction of future distributional shifts at local and regional scales. Agência financiadora Número do subsídio Fundacao para a Ciencia e a Tecnologia CCMAR/Multi/04326/2019 FCT-BIODIVERSA/004/2015 FCT-SEAS-ERA/0001/2012 SFRH/BPD/107878/2015 SFRH/BPD/85040/2012 Erasmus Mundus Doctoral Programme ...
format Article in Journal/Newspaper
author Chefaoui, Rosa
Serebryakova, Alexandra
Engelen, Aschwin
Viard, Frédérique
Serrao, Ester
author_facet Chefaoui, Rosa
Serebryakova, Alexandra
Engelen, Aschwin
Viard, Frédérique
Serrao, Ester
author_sort Chefaoui, Rosa
title Integrating reproductive phenology in ecological niche models changed the predicted future ranges of a marine invader
title_short Integrating reproductive phenology in ecological niche models changed the predicted future ranges of a marine invader
title_full Integrating reproductive phenology in ecological niche models changed the predicted future ranges of a marine invader
title_fullStr Integrating reproductive phenology in ecological niche models changed the predicted future ranges of a marine invader
title_full_unstemmed Integrating reproductive phenology in ecological niche models changed the predicted future ranges of a marine invader
title_sort integrating reproductive phenology in ecological niche models changed the predicted future ranges of a marine invader
publisher Wiley
publishDate 2019
url http://hdl.handle.net/10400.1/12532
https://doi.org/10.1111/ddi.12910
geographic Pacific
geographic_facet Pacific
genre Subarctic
genre_facet Subarctic
op_relation info:eu-repo/grantAgreement/FCT/3599-PPCDT/132832/PT
info:eu-repo/grantAgreement/FCT/SFRH/SFRH%2FBPD%2F85040%2F2012/PT
1366-9516
http://hdl.handle.net/10400.1/12532
doi:10.1111/ddi.12910
op_rights openAccess
http://creativecommons.org/licenses/by/4.0/
op_rightsnorm CC-BY
op_doi https://doi.org/10.1111/ddi.12910
container_title Diversity and Distributions
container_volume 25
container_issue 5
container_start_page 688
op_container_end_page 700
_version_ 1766211177635905536