Screening Assessments for Aquatic Invasive Species Using Species Distribution Models
Invasive species are a major cause of biodiversity loss in North American freshwaters. Once established, aquatic invasive species (AIS) can restructure food webs and change the abiotic or physical conditions of a water body. The ability of species distribution models (SDMs) to predict habitat suitab...
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ftqueensuniv:oai:qspace.library.queensu.ca:1974/25964 2023-05-15T15:47:19+02:00 Screening Assessments for Aquatic Invasive Species Using Species Distribution Models Yee, Caleb Arnott, Shelley Johnson, Tim Biology 2019-01-31T20:30:42Z http://hdl.handle.net/1974/25964 eng eng Canadian theses http://hdl.handle.net/1974/25964 Queen's University's Thesis/Dissertation Non-Exclusive License for Deposit to QSpace and Library and Archives Canada ProQuest PhD and Master's Theses International Dissemination Agreement Intellectual Property Guidelines at Queen's University Copying and Preserving Your Thesis This publication is made available by the authority of the copyright owner solely for the purpose of private study and research and may not be copied or reproduced except as permitted by the copyright laws without written authority from the copyright owner. Environmental niche model Species distribution model Fish Invasive species Risk assessment thesis 2019 ftqueensuniv 2020-12-29T09:09:45Z Invasive species are a major cause of biodiversity loss in North American freshwaters. Once established, aquatic invasive species (AIS) can restructure food webs and change the abiotic or physical conditions of a water body. The ability of species distribution models (SDMs) to predict habitat suitability for AIS is of interest because they can be used to identify what species are likely to establish if introduced. Habitat suitability from SDMs could be used as a screening risk assessment to identify which species require more detailed risk assessments. However, SDM performance in areas that are spatially disjunct from their training has been understudied, specifically for aquatic species. I conducted two studies to assess the applicability of habitat suitability predictions created by SDMs to identify potentially invasive fish for further risk assessments. First, I compared the performance of three different SDM techniques (BIOCLIM, DOMAIN and, MaxEnt) for five different freshwater fishes (common carp Cyprinus carpio,burbot Lota lota, northern pike Esox lucius, lake trout Salvelinus namaycush, and brown trout Salmo trutta) when models were trained east of the Atlantic Ocean and evaluated in North America. DOMAIN models were best able to predict the potential distribution of fishes, but still broadly overpredicted the realized distribution of fishes. In areas with habitat conditions that were novel compared to training habitat conditions, predictions of habitat suitability were unreliable for all models. Based on the information from my first study, I applied the DOMAIN SDM technique to 44 fishes considered an invasion risk to the Laurentian Great Lakes to determine if habitat suitability could be used to identify fishes that are unlikely to invade. No fishes could be removed from consideration as potential invaders based solely on habitat suitability because of large areas of novel habitat conditions. Using habitat suitability as a screening measure to select fishes for further assessment is a questionable process due to uncertainties when predicting in novel habitat conditions and broad overpredictions of fishes’ realized distributions. Instead, trends in habitat suitability should be used to help identify where pathways intersect high habitat suitability for many species. M.Sc. Thesis Burbot Lota lota lota Queen's University, Ontario: QSpace |
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Open Polar |
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Queen's University, Ontario: QSpace |
op_collection_id |
ftqueensuniv |
language |
English |
topic |
Environmental niche model Species distribution model Fish Invasive species Risk assessment |
spellingShingle |
Environmental niche model Species distribution model Fish Invasive species Risk assessment Yee, Caleb Screening Assessments for Aquatic Invasive Species Using Species Distribution Models |
topic_facet |
Environmental niche model Species distribution model Fish Invasive species Risk assessment |
description |
Invasive species are a major cause of biodiversity loss in North American freshwaters. Once established, aquatic invasive species (AIS) can restructure food webs and change the abiotic or physical conditions of a water body. The ability of species distribution models (SDMs) to predict habitat suitability for AIS is of interest because they can be used to identify what species are likely to establish if introduced. Habitat suitability from SDMs could be used as a screening risk assessment to identify which species require more detailed risk assessments. However, SDM performance in areas that are spatially disjunct from their training has been understudied, specifically for aquatic species. I conducted two studies to assess the applicability of habitat suitability predictions created by SDMs to identify potentially invasive fish for further risk assessments. First, I compared the performance of three different SDM techniques (BIOCLIM, DOMAIN and, MaxEnt) for five different freshwater fishes (common carp Cyprinus carpio,burbot Lota lota, northern pike Esox lucius, lake trout Salvelinus namaycush, and brown trout Salmo trutta) when models were trained east of the Atlantic Ocean and evaluated in North America. DOMAIN models were best able to predict the potential distribution of fishes, but still broadly overpredicted the realized distribution of fishes. In areas with habitat conditions that were novel compared to training habitat conditions, predictions of habitat suitability were unreliable for all models. Based on the information from my first study, I applied the DOMAIN SDM technique to 44 fishes considered an invasion risk to the Laurentian Great Lakes to determine if habitat suitability could be used to identify fishes that are unlikely to invade. No fishes could be removed from consideration as potential invaders based solely on habitat suitability because of large areas of novel habitat conditions. Using habitat suitability as a screening measure to select fishes for further assessment is a questionable process due to uncertainties when predicting in novel habitat conditions and broad overpredictions of fishes’ realized distributions. Instead, trends in habitat suitability should be used to help identify where pathways intersect high habitat suitability for many species. M.Sc. |
author2 |
Arnott, Shelley Johnson, Tim Biology |
format |
Thesis |
author |
Yee, Caleb |
author_facet |
Yee, Caleb |
author_sort |
Yee, Caleb |
title |
Screening Assessments for Aquatic Invasive Species Using Species Distribution Models |
title_short |
Screening Assessments for Aquatic Invasive Species Using Species Distribution Models |
title_full |
Screening Assessments for Aquatic Invasive Species Using Species Distribution Models |
title_fullStr |
Screening Assessments for Aquatic Invasive Species Using Species Distribution Models |
title_full_unstemmed |
Screening Assessments for Aquatic Invasive Species Using Species Distribution Models |
title_sort |
screening assessments for aquatic invasive species using species distribution models |
publishDate |
2019 |
url |
http://hdl.handle.net/1974/25964 |
genre |
Burbot Lota lota lota |
genre_facet |
Burbot Lota lota lota |
op_relation |
Canadian theses http://hdl.handle.net/1974/25964 |
op_rights |
Queen's University's Thesis/Dissertation Non-Exclusive License for Deposit to QSpace and Library and Archives Canada ProQuest PhD and Master's Theses International Dissemination Agreement Intellectual Property Guidelines at Queen's University Copying and Preserving Your Thesis This publication is made available by the authority of the copyright owner solely for the purpose of private study and research and may not be copied or reproduced except as permitted by the copyright laws without written authority from the copyright owner. |
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