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Species distribution model of invasive macroalgae
Citatie
Ramos, E., Sainz-Villegas, S., de la Hoz, C.F., Puente, A., Juanes, J.A. (2023) Species Distribution Models for invasive macroalgae. Integrated data products created under the European Marine Observation Data Network (EMODnet) Biology project Phase IV (EMFF/2019/1.3.1.9/Lot 6/SI2.837974), funded by the by the European Union under Regulation (EU) No 508/2014 of the European Parliament and of the Council of 15 May 2014 on the European Maritime and Fisheries Fund. https://marineinfo.org/id/dataset/8209
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Toegang tot data
Gearchiveerde data
Specifieke website
Beschikbaarheid: Creative Commons License Deze dataset valt onder een Creative Commons Naamsvermelding 4.0 Internationaal-licentie.

Beschrijving

The number of marine seaweeds outside their natural boundaries has increased in the last decades generating impacts on biodiversity and economy. This makes the development of management tools necessary, where species distribution models (SDMs) play a crucial role. SDMs can help in the early detection of invasions and predict the extent of the potential spread. However, modelling non-native marine species distributions is still challenging in terms of model building, evaluation and selection. This product aims to predict the European distribution of four widespread introduced seaweed species (Asparagopsis armata, Caulerpa Taxifolia, Sargassum muticum and Undaria pinnatifida) selecting the best model building process.


Scope
Thema's:
Biologie > Macroalgen
Kernwoorden:
Invasive species, Africa Coasts, ASE, Canary I., Atlantic coast of Europe, Azores Coast, Greenlandic Coast, Icelandic Coast, Madeiran Coast, Mediterranean and Black Sea, Svalbard, Asparagopsis armata Harvey, 1855, Caulerpa taxifolia (M.Vahl) C.Agardh, 1817, Sargassum muticum (Yendo) Fensholt, 1955, Undaria pinnatifida (Harvey) Suringar, 1873

Geografische spreiding
Africa Coasts [Marine Regions]
ASE, Canary I. [Marine Regions]
Atlantic coast of Europe [Marine Regions]
Azores Coast [Marine Regions]
Greenlandic Coast [Marine Regions]
Icelandic Coast [Marine Regions]
Madeiran Coast [Marine Regions]
Mediterranean and Black Sea [Marine Regions]
Svalbard [Marine Regions]

Taxonomic coverage
Asparagopsis armata Harvey, 1855 [WoRMS]
Caulerpa taxifolia (M.Vahl) C.Agardh, 1817 [WoRMS]
Sargassum muticum (Yendo) Fensholt, 1955 [WoRMS]
Undaria pinnatifida (Harvey) Suringar, 1873 [WoRMS]

Bijdrage door
University of Cantabria; Environmental Hydraulics Institute (IH Cantabria), meerdata eigenaar

Project
EMODnet Bio IV: European Marine Observation and Data Network- Biology IV, meer

Publicatie
Gebruikt in deze dataset
Sainz-Villegas, S. et al. (2022). Predicting non-native seaweeds global distributions: The importance of tuning individual algorithms in ensembles to obtain biologically meaningful results. Front. Mar. Sci. 9: 1009808. https://dx.doi.org/10.3389/fmars.2022.1009808, meer
Cobos, M.E. et al. (2019). kuenm: an R package for detailed development of ecological niche models using Maxent. PeerJ 7: e6281. https://dx.doi.org/10.7717/peerj.6281, meer
de la Hoz, C.F. et al. (2019). Climate change induced range shifts in seaweeds distributions in Europe. Mar. Environ. Res. 148: 1-11. https://dx.doi.org/10.1016/j.marenvres.2019.04.012, meer
de la Hoz, C.F. et al. (2019). Temporal transferability of marine distribution models: The role of algorithm selection. Ecol. Indic. 106: 105499. https://dx.doi.org/10.1016/j.ecolind.2019.105499, meer


Dataset status: Afgelopen
Data type: Dataproducten
Metadatarecord aangemaakt: 2023-02-16
Informatie laatst gewijzigd: 2024-03-15
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