Salmonid thermal habitat contraction in a hydrogeologically complex setting

Abstract Broadening our understanding of river thermal variability is of paramount importance considering the role temperature plays in aquatic ecosystem health. At the catchment scale, spatial statistical river network models (SSN) are popular for analyses of river temperature, as these are less “d...

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Published in:Ecosphere
Main Authors: Antóin M. O'Sullivan, Emily Corey, Richard A. Cunjak, Tommi Linnansaari, R. Allen Curry
Format: Article in Journal/Newspaper
Language:English
Published: Wiley 2021
Subjects:
Online Access:https://doi.org/10.1002/ecs2.3797
https://doaj.org/article/0977bd653f06474db1ab62c1aa4c2ad7
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spelling ftdoajarticles:oai:doaj.org/article:0977bd653f06474db1ab62c1aa4c2ad7 2023-05-15T15:32:01+02:00 Salmonid thermal habitat contraction in a hydrogeologically complex setting Antóin M. O'Sullivan Emily Corey Richard A. Cunjak Tommi Linnansaari R. Allen Curry 2021-10-01T00:00:00Z https://doi.org/10.1002/ecs2.3797 https://doaj.org/article/0977bd653f06474db1ab62c1aa4c2ad7 EN eng Wiley https://doi.org/10.1002/ecs2.3797 https://doaj.org/toc/2150-8925 2150-8925 doi:10.1002/ecs2.3797 https://doaj.org/article/0977bd653f06474db1ab62c1aa4c2ad7 Ecosphere, Vol 12, Iss 10, Pp n/a-n/a (2021) Atlantic salmon brook trout hydrogeology random forest river temperature thermal habitat Ecology QH540-549.5 article 2021 ftdoajarticles https://doi.org/10.1002/ecs2.3797 2022-12-31T08:00:05Z Abstract Broadening our understanding of river thermal variability is of paramount importance considering the role temperature plays in aquatic ecosystem health. At the catchment scale, spatial statistical river network models (SSN) are popular for analyses of river temperature, as these are less “data hungry” than other modeling methods, and have offered invaluable insights into how thermal habitats of salmonids may change with climate warming. However, recent work has demonstrated that hydrogeological complexity can disrupt river temperature spatial autocorrelation. We test the prediction that the non‐linearity of hydrological processes inherent in a hydrogeologically complex setting, such as the Miramichi River, invalidates the SSN approach, and a Random Forest (RF) model can overcome these complexities. In all instances, RFs outperformed SSNs when predicting average (TwA) and maximum (TwM) August river temperature during 2017, and were quite robust (TwA and TwM: R2 = 0.93; RMSE = 0.6°C; R2 = 0.91; RMSE = 1.0°C, respectively). We conclude that RF models can capture the inherent non‐linearity of hydrological processes in complex hydrogeologic settings. We examined thermal habitat change for adult and 1+/2+ Atlantic salmon—AS—(Salmo salar), and all age classes of brook trout—BKT—(Salvelinus fontinalis), during August 2017, with thresholds of behavioral thermoregulation specific to the catchment. We assumed a baseline = TwA and investigated river network contraction (km) for TwM. During TwA, all habitat was suggested to be thermally suitable for 1+/2+ AS (<23°C), but 4.2% was unsuitable for adult AS and BKT of all ages (>20°C). For TwM, ~80% of the catchment was predicted to be unsuitable for adult AS and BKT. We examined two boundaries for behavorial thermoregulation in 1+/2+ AS: >23°C and >27°C. For the >23°C boundary, ~27.7% of the catchment is thermally unsuitable during TwM, and 4.9% is thermally unsuitable for the >27°C boundary. TwA in August 2017 was identical to long‐term (1970–1999) ... Article in Journal/Newspaper Atlantic salmon Salmo salar Directory of Open Access Journals: DOAJ Articles Ecosphere 12 10
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Atlantic salmon
brook trout
hydrogeology
random forest
river temperature
thermal habitat
Ecology
QH540-549.5
spellingShingle Atlantic salmon
brook trout
hydrogeology
random forest
river temperature
thermal habitat
Ecology
QH540-549.5
Antóin M. O'Sullivan
Emily Corey
Richard A. Cunjak
Tommi Linnansaari
R. Allen Curry
Salmonid thermal habitat contraction in a hydrogeologically complex setting
topic_facet Atlantic salmon
brook trout
hydrogeology
random forest
river temperature
thermal habitat
Ecology
QH540-549.5
description Abstract Broadening our understanding of river thermal variability is of paramount importance considering the role temperature plays in aquatic ecosystem health. At the catchment scale, spatial statistical river network models (SSN) are popular for analyses of river temperature, as these are less “data hungry” than other modeling methods, and have offered invaluable insights into how thermal habitats of salmonids may change with climate warming. However, recent work has demonstrated that hydrogeological complexity can disrupt river temperature spatial autocorrelation. We test the prediction that the non‐linearity of hydrological processes inherent in a hydrogeologically complex setting, such as the Miramichi River, invalidates the SSN approach, and a Random Forest (RF) model can overcome these complexities. In all instances, RFs outperformed SSNs when predicting average (TwA) and maximum (TwM) August river temperature during 2017, and were quite robust (TwA and TwM: R2 = 0.93; RMSE = 0.6°C; R2 = 0.91; RMSE = 1.0°C, respectively). We conclude that RF models can capture the inherent non‐linearity of hydrological processes in complex hydrogeologic settings. We examined thermal habitat change for adult and 1+/2+ Atlantic salmon—AS—(Salmo salar), and all age classes of brook trout—BKT—(Salvelinus fontinalis), during August 2017, with thresholds of behavioral thermoregulation specific to the catchment. We assumed a baseline = TwA and investigated river network contraction (km) for TwM. During TwA, all habitat was suggested to be thermally suitable for 1+/2+ AS (<23°C), but 4.2% was unsuitable for adult AS and BKT of all ages (>20°C). For TwM, ~80% of the catchment was predicted to be unsuitable for adult AS and BKT. We examined two boundaries for behavorial thermoregulation in 1+/2+ AS: >23°C and >27°C. For the >23°C boundary, ~27.7% of the catchment is thermally unsuitable during TwM, and 4.9% is thermally unsuitable for the >27°C boundary. TwA in August 2017 was identical to long‐term (1970–1999) ...
format Article in Journal/Newspaper
author Antóin M. O'Sullivan
Emily Corey
Richard A. Cunjak
Tommi Linnansaari
R. Allen Curry
author_facet Antóin M. O'Sullivan
Emily Corey
Richard A. Cunjak
Tommi Linnansaari
R. Allen Curry
author_sort Antóin M. O'Sullivan
title Salmonid thermal habitat contraction in a hydrogeologically complex setting
title_short Salmonid thermal habitat contraction in a hydrogeologically complex setting
title_full Salmonid thermal habitat contraction in a hydrogeologically complex setting
title_fullStr Salmonid thermal habitat contraction in a hydrogeologically complex setting
title_full_unstemmed Salmonid thermal habitat contraction in a hydrogeologically complex setting
title_sort salmonid thermal habitat contraction in a hydrogeologically complex setting
publisher Wiley
publishDate 2021
url https://doi.org/10.1002/ecs2.3797
https://doaj.org/article/0977bd653f06474db1ab62c1aa4c2ad7
genre Atlantic salmon
Salmo salar
genre_facet Atlantic salmon
Salmo salar
op_source Ecosphere, Vol 12, Iss 10, Pp n/a-n/a (2021)
op_relation https://doi.org/10.1002/ecs2.3797
https://doaj.org/toc/2150-8925
2150-8925
doi:10.1002/ecs2.3797
https://doaj.org/article/0977bd653f06474db1ab62c1aa4c2ad7
op_doi https://doi.org/10.1002/ecs2.3797
container_title Ecosphere
container_volume 12
container_issue 10
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