Major changes in fish thermal habitat diversity in Canada’s Arctic lakes due to climate change ...

Climate warming is a major disruptor of fish community structure globally. We use large-scale geospatial analyses of 447,077 Canadian Arctic lakes to predict how climate change would impact lake thermal habitat diversity across the Arctic landscape. Increases in maximum surface temperature (+2.4–6.7...

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Main Authors: Gillis, Daniel, Minns, Charles, Campana, Steven, Shuter, Brian
Format: Dataset
Language:English
Published: Dryad 2024
Subjects:
Online Access:https://dx.doi.org/10.5061/dryad.cvdncjt8g
https://datadryad.org/stash/dataset/doi:10.5061/dryad.cvdncjt8g
id ftdatacite:10.5061/dryad.cvdncjt8g
record_format openpolar
spelling ftdatacite:10.5061/dryad.cvdncjt8g 2024-03-31T07:50:08+00:00 Major changes in fish thermal habitat diversity in Canada’s Arctic lakes due to climate change ... Gillis, Daniel Minns, Charles Campana, Steven Shuter, Brian 2024 https://dx.doi.org/10.5061/dryad.cvdncjt8g https://datadryad.org/stash/dataset/doi:10.5061/dryad.cvdncjt8g en eng Dryad https://dx.doi.org/10.5063/f1zp44f1 https://dx.doi.org/10.5281/zenodo.10537207 Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode cc0-1.0 FOS Biological sciences Arctic Lakes water temperature lake stratification Ice Phenology Climate change Fish habitat Thermal Ecology Thermal Guild modelling dataset Dataset 2024 ftdatacite https://doi.org/10.5061/dryad.cvdncjt8g10.5063/f1zp44f110.5281/zenodo.10537207 2024-03-04T14:16:12Z Climate warming is a major disruptor of fish community structure globally. We use large-scale geospatial analyses of 447,077 Canadian Arctic lakes to predict how climate change would impact lake thermal habitat diversity across the Arctic landscape. Increases in maximum surface temperature (+2.4–6.7 °C), ice-free period (+14–38 days), and thermal stratification presence (+4.2–18.9%) occur under all climate scenarios. Lakes, currently fishless due to deep winter ice, open up; many thermally uniform lakes become thermally diverse. Resilient coldwater habitat supply is predicted; however, thermally diverse lakes shift from providing almost exclusively coldwater habitat to providing substantial coolwater habitat and previously absent warmwater habitat. Across terrestrial ecozones, most lakes exhibit major shifts in thermal habitat. The prevalence of thermally diverse lakes more than doubles, providing refuge for coldwater taxa. Ecozone-specific differences in the distribution of thermally diverse and thermally ... : Overview of the Methods Used in This Paper The following is an overview of the methods that we used in this paper. Each paragraph has an accompanying sub-section within the Methods section that provides more details. To develop the approach used in this paper, we applied both empirical and semi-mechanistic methods to build the set of predictive models needed to fulfill our primary objective: (i) predicting the impacts of climate change on the seasonal progression of thermal structure in Canadian Arctic lakes: and (ii) assessing how those impacts would change the character and diversity of the fish communities resident in those lakes24,35. A summary of issues addressed, and methods used follows: (i) Ground-Truthing Lake Morphometry: Lake shape is a primary determinant of lake thermal structure. We used the GIS-based estimates of Canadian Arctic lake morphometry as the basis for our study, hereafter the Arctic GIS lake database13. Our Arctic GIS lake database provides the basic information (lake area, mean ... Dataset Arctic Climate change DataCite Metadata Store (German National Library of Science and Technology) Arctic Arctic Lake ENVELOPE(-130.826,-130.826,57.231,57.231) Impact Lake ENVELOPE(-117.075,-117.075,67.583,67.583)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
topic FOS Biological sciences
Arctic
Lakes
water temperature
lake stratification
Ice Phenology
Climate change
Fish habitat
Thermal Ecology
Thermal Guild
modelling
spellingShingle FOS Biological sciences
Arctic
Lakes
water temperature
lake stratification
Ice Phenology
Climate change
Fish habitat
Thermal Ecology
Thermal Guild
modelling
Gillis, Daniel
Minns, Charles
Campana, Steven
Shuter, Brian
Major changes in fish thermal habitat diversity in Canada’s Arctic lakes due to climate change ...
topic_facet FOS Biological sciences
Arctic
Lakes
water temperature
lake stratification
Ice Phenology
Climate change
Fish habitat
Thermal Ecology
Thermal Guild
modelling
description Climate warming is a major disruptor of fish community structure globally. We use large-scale geospatial analyses of 447,077 Canadian Arctic lakes to predict how climate change would impact lake thermal habitat diversity across the Arctic landscape. Increases in maximum surface temperature (+2.4–6.7 °C), ice-free period (+14–38 days), and thermal stratification presence (+4.2–18.9%) occur under all climate scenarios. Lakes, currently fishless due to deep winter ice, open up; many thermally uniform lakes become thermally diverse. Resilient coldwater habitat supply is predicted; however, thermally diverse lakes shift from providing almost exclusively coldwater habitat to providing substantial coolwater habitat and previously absent warmwater habitat. Across terrestrial ecozones, most lakes exhibit major shifts in thermal habitat. The prevalence of thermally diverse lakes more than doubles, providing refuge for coldwater taxa. Ecozone-specific differences in the distribution of thermally diverse and thermally ... : Overview of the Methods Used in This Paper The following is an overview of the methods that we used in this paper. Each paragraph has an accompanying sub-section within the Methods section that provides more details. To develop the approach used in this paper, we applied both empirical and semi-mechanistic methods to build the set of predictive models needed to fulfill our primary objective: (i) predicting the impacts of climate change on the seasonal progression of thermal structure in Canadian Arctic lakes: and (ii) assessing how those impacts would change the character and diversity of the fish communities resident in those lakes24,35. A summary of issues addressed, and methods used follows: (i) Ground-Truthing Lake Morphometry: Lake shape is a primary determinant of lake thermal structure. We used the GIS-based estimates of Canadian Arctic lake morphometry as the basis for our study, hereafter the Arctic GIS lake database13. Our Arctic GIS lake database provides the basic information (lake area, mean ...
format Dataset
author Gillis, Daniel
Minns, Charles
Campana, Steven
Shuter, Brian
author_facet Gillis, Daniel
Minns, Charles
Campana, Steven
Shuter, Brian
author_sort Gillis, Daniel
title Major changes in fish thermal habitat diversity in Canada’s Arctic lakes due to climate change ...
title_short Major changes in fish thermal habitat diversity in Canada’s Arctic lakes due to climate change ...
title_full Major changes in fish thermal habitat diversity in Canada’s Arctic lakes due to climate change ...
title_fullStr Major changes in fish thermal habitat diversity in Canada’s Arctic lakes due to climate change ...
title_full_unstemmed Major changes in fish thermal habitat diversity in Canada’s Arctic lakes due to climate change ...
title_sort major changes in fish thermal habitat diversity in canada’s arctic lakes due to climate change ...
publisher Dryad
publishDate 2024
url https://dx.doi.org/10.5061/dryad.cvdncjt8g
https://datadryad.org/stash/dataset/doi:10.5061/dryad.cvdncjt8g
long_lat ENVELOPE(-130.826,-130.826,57.231,57.231)
ENVELOPE(-117.075,-117.075,67.583,67.583)
geographic Arctic
Arctic Lake
Impact Lake
geographic_facet Arctic
Arctic Lake
Impact Lake
genre Arctic
Climate change
genre_facet Arctic
Climate change
op_relation https://dx.doi.org/10.5063/f1zp44f1
https://dx.doi.org/10.5281/zenodo.10537207
op_rights Creative Commons Zero v1.0 Universal
https://creativecommons.org/publicdomain/zero/1.0/legalcode
cc0-1.0
op_doi https://doi.org/10.5061/dryad.cvdncjt8g10.5063/f1zp44f110.5281/zenodo.10537207
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