Species distribution models and occurrence data for marine invasive species hotspot identification

Species distribution models and occurrence data for marine invasive species hotspot identification Since 2005, Fisheries and Oceans Canada has been collecting monitoring data for aquatic invasive species (e.g. https://open.canada.ca/data/en/dataset/8d87f574-0661-40a0-822f-e9eabc35780d, https://open.canada.ca/data/en/dataset/503a957e-7d6b-11e9-aef3-f48c505b2a29, https://open.canada.ca/data/en/dataset/8661edcf-f525-4758-a051-cb3fc8c74423). This monitoring data, as well additional occurrence information from online databases and the scientific literature, have been paired with high resolution environmental data and oceanographic models in species distribution models that predict the present-day and future potential distributions of 12 moderate to high risk invasive species on Canada’s east and west coasts. Future distributions were predicted for 2075, under Representative Concentration Pathway 8.5 from the Intergovernmental Panel on Climate Change’s fifth Assessment Report. Present-day and future richness of these species (i.e., hotspots) has also been estimated by summing their occurrence probabilities. This data set includes the occurrence locations of each species, the present-day and future species distribution modeling results for each species, and the estimated species richness. This research has been published in the scientific literature(Lyons et al. 2020). Lyons DA, Lowen JB, Therriault TW, Brickman D, Guo L, Moore AM, Peña MA, Wang Z, DiBacco C. (In Press) Identifying Marine Invasion Hotspots Using Stacked Species Distribution Models. Biological Invasions 2020-12-09 Fisheries and Oceans Canada Claudio.DiBacco@dfo-mpo.gc.ca Nature and EnvironmentScience and TechnologyInvasive speciesOceansEnvironment Marine invasive species, models and occurrenceESRI REST https://gisp.dfo-mpo.gc.ca/arcgis/rest/services/FGP/SDMs_and_Occurrence_Data_for_Marine_Invasive_Species_Hotspots_ID/MapServer Marine invasive species, models and occurrenceESRI REST https://gisp.dfo-mpo.gc.ca/arcgis/rest/services/FGP/SDMs_and_Occurrence_Data_for_Marine_Invasive_Species_Hotspots_ID_fr/MapServer Marine invasive species model outputsTIFF https://pacgis01.dfo-mpo.gc.ca/FGPPublic/SDMs_Occurrence_Marine_Invasive_Species_Hotspots_ID/Atl_Pac_tif.zip Marine invasive species model outputsFGDB/GDB https://pacgis01.dfo-mpo.gc.ca/FGPPublic/SDMs_Occurrence_Marine_Invasive_Species_Hotspots_ID/Atl_Pac.gdb.zip Data DictionaryXLSX https://pacgis01.dfo-mpo.gc.ca/FGPPublic/SDMs_Occurrence_Marine_Invasive_Species_Hotspots_ID/DataDictionary.xlsx Science journal articlePDF https://www.researchgate.net/publication/343970010_Identifying_marine_invasion_hotspots_using_stacked_species_distribution_models

Since 2005, Fisheries and Oceans Canada has been collecting monitoring data for aquatic invasive species (e.g. https://open.canada.ca/data/en/dataset/8d87f574-0661-40a0-822f-e9eabc35780d, https://open.canada.ca/data/en/dataset/503a957e-7d6b-11e9-aef3-f48c505b2a29, https://open.canada.ca/data/en/dataset/8661edcf-f525-4758-a051-cb3fc8c74423). This monitoring data, as well additional occurrence information from online databases and the scientific literature, have been paired with high resolution environmental data and oceanographic models in species distribution models that predict the present-day and future potential distributions of 12 moderate to high risk invasive species on Canada’s east and west coasts. Future distributions were predicted for 2075, under Representative Concentration Pathway 8.5 from the Intergovernmental Panel on Climate Change’s fifth Assessment Report. Present-day and future richness of these species (i.e., hotspots) has also been estimated by summing their occurrence probabilities. This data set includes the occurrence locations of each species, the present-day and future species distribution modeling results for each species, and the estimated species richness. This research has been published in the scientific literature(Lyons et al. 2020).

Lyons DA, Lowen JB, Therriault TW, Brickman D, Guo L, Moore AM, Peña MA, Wang Z, DiBacco C. (In Press) Identifying Marine Invasion Hotspots Using Stacked Species Distribution Models. Biological Invasions

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Delivery Point: Bedford Institute of Oceanography, 1 Challenger Drive, PO Box 1006

City: Dartmouth

Administrative Area: Nova Scotia

Postal Code: B2Y 4A2

Country: Canada

Electronic Mail Address: Claudio.DiBacco@dfo-mpo.gc.ca

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