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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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 |
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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 |
_version_ |
1766362513615618048 |