Mechanistic simulations of kelp populations in a dynamic landscape of light, temperature, and winter storms
Kelp forests are widely distributed across the coastal ocean, support high levels of biodiversity and primary productivity, and underpin a range of ecosystem services. Laminaria hyperborea is a forest-forming kelp species in the Northeast Atlantic that alters the local environment, providing biogeni...
Published in: | Ecological Modelling |
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Format: | Article in Journal/Newspaper |
Language: | English |
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2024
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Online Access: | https://pure.uhi.ac.uk/en/publications/e32809da-3bb3-44f9-968c-8683bd880050 https://doi.org/10.1016/j.ecolmodel.2023.110590 https://pureadmin.uhi.ac.uk/ws/files/49111770/Szewczyk_et_al._-_2024_-_Mechanistic_simulations_of_kelp_populations_in_a_d.pdf |
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ftuhipublicatio:oai:pure.atira.dk:publications/e32809da-3bb3-44f9-968c-8683bd880050 2024-02-11T10:07:04+01:00 Mechanistic simulations of kelp populations in a dynamic landscape of light, temperature, and winter storms Szewczyk, Tim M Moore, Pippa Smale, Dan A. Burrows, Michael Adams, Thomas 2024-02-28 application/pdf https://pure.uhi.ac.uk/en/publications/e32809da-3bb3-44f9-968c-8683bd880050 https://doi.org/10.1016/j.ecolmodel.2023.110590 https://pureadmin.uhi.ac.uk/ws/files/49111770/Szewczyk_et_al._-_2024_-_Mechanistic_simulations_of_kelp_populations_in_a_d.pdf eng eng info:eu-repo/semantics/openAccess Szewczyk , T M , Moore , P , Smale , D A , Burrows , M & Adams , T 2024 , ' Mechanistic simulations of kelp populations in a dynamic landscape of light, temperature, and winter storms ' , Ecological Modelling , vol. 488 , 110590 . https://doi.org/10.1016/j.ecolmodel.2023.110590 disturbance biomass Laminaria hyperborea detrital production matrix model stochastic article 2024 ftuhipublicatio https://doi.org/10.1016/j.ecolmodel.2023.110590 2024-01-18T23:20:55Z Kelp forests are widely distributed across the coastal ocean, support high levels of biodiversity and primary productivity, and underpin a range of ecosystem services. Laminaria hyperborea is a forest-forming kelp species in the Northeast Atlantic that alters the local environment, providing biogenic structure for a diversity of associated organisms. Populations are strongly affected by light availability, temperature, and storm-related disturbance. We constructed a stage-based, two-season model of L. hyperborea populations along the coast of Great Britain and Ireland to predict biomass across a range of depths, drawing on extensive surveys and data from the literature. Population dynamics were driven by wave exposure, historic winter storm intensity, and simulated interannual variation in temperature and depth-attenuated light intensity, with density-dependent competition for light and space. High biomass was predicted in shallow depths across the domain on suitable substrate, with populations extending deeper in the north and west where light penetration was greater. Detritus production was heavily skewed across years, particularly at greater depths, with 10 % of years comprising more than 50 % of detritus on average below 10 m depth. Annual fluctuations in light and storm intensity produced opposing population oscillations with a ∼6-year period persisting for up to a decade but diminishing sharply with depth. Interannual variation in temperature had minimal impact. Biomass was most sensitive to survival and settlement rates, with negligible sensitivity to individual growth rates. This model highlights the need for an improved understanding of canopy and subcanopy mortality, particularly regarding increasingly frequent heatwaves. Estimations of kelp forest contributions to carbon sequestration should consider the high variability among years or risk underestimating the potential value of kelp forests. Process-based simulations of populations with realistic spatiotemporal environmental variability are a ... Article in Journal/Newspaper Northeast Atlantic University of the Highlands and Islands: Research Database of UHI Ecological Modelling 488 110590 |
institution |
Open Polar |
collection |
University of the Highlands and Islands: Research Database of UHI |
op_collection_id |
ftuhipublicatio |
language |
English |
topic |
disturbance biomass Laminaria hyperborea detrital production matrix model stochastic |
spellingShingle |
disturbance biomass Laminaria hyperborea detrital production matrix model stochastic Szewczyk, Tim M Moore, Pippa Smale, Dan A. Burrows, Michael Adams, Thomas Mechanistic simulations of kelp populations in a dynamic landscape of light, temperature, and winter storms |
topic_facet |
disturbance biomass Laminaria hyperborea detrital production matrix model stochastic |
description |
Kelp forests are widely distributed across the coastal ocean, support high levels of biodiversity and primary productivity, and underpin a range of ecosystem services. Laminaria hyperborea is a forest-forming kelp species in the Northeast Atlantic that alters the local environment, providing biogenic structure for a diversity of associated organisms. Populations are strongly affected by light availability, temperature, and storm-related disturbance. We constructed a stage-based, two-season model of L. hyperborea populations along the coast of Great Britain and Ireland to predict biomass across a range of depths, drawing on extensive surveys and data from the literature. Population dynamics were driven by wave exposure, historic winter storm intensity, and simulated interannual variation in temperature and depth-attenuated light intensity, with density-dependent competition for light and space. High biomass was predicted in shallow depths across the domain on suitable substrate, with populations extending deeper in the north and west where light penetration was greater. Detritus production was heavily skewed across years, particularly at greater depths, with 10 % of years comprising more than 50 % of detritus on average below 10 m depth. Annual fluctuations in light and storm intensity produced opposing population oscillations with a ∼6-year period persisting for up to a decade but diminishing sharply with depth. Interannual variation in temperature had minimal impact. Biomass was most sensitive to survival and settlement rates, with negligible sensitivity to individual growth rates. This model highlights the need for an improved understanding of canopy and subcanopy mortality, particularly regarding increasingly frequent heatwaves. Estimations of kelp forest contributions to carbon sequestration should consider the high variability among years or risk underestimating the potential value of kelp forests. Process-based simulations of populations with realistic spatiotemporal environmental variability are a ... |
format |
Article in Journal/Newspaper |
author |
Szewczyk, Tim M Moore, Pippa Smale, Dan A. Burrows, Michael Adams, Thomas |
author_facet |
Szewczyk, Tim M Moore, Pippa Smale, Dan A. Burrows, Michael Adams, Thomas |
author_sort |
Szewczyk, Tim M |
title |
Mechanistic simulations of kelp populations in a dynamic landscape of light, temperature, and winter storms |
title_short |
Mechanistic simulations of kelp populations in a dynamic landscape of light, temperature, and winter storms |
title_full |
Mechanistic simulations of kelp populations in a dynamic landscape of light, temperature, and winter storms |
title_fullStr |
Mechanistic simulations of kelp populations in a dynamic landscape of light, temperature, and winter storms |
title_full_unstemmed |
Mechanistic simulations of kelp populations in a dynamic landscape of light, temperature, and winter storms |
title_sort |
mechanistic simulations of kelp populations in a dynamic landscape of light, temperature, and winter storms |
publishDate |
2024 |
url |
https://pure.uhi.ac.uk/en/publications/e32809da-3bb3-44f9-968c-8683bd880050 https://doi.org/10.1016/j.ecolmodel.2023.110590 https://pureadmin.uhi.ac.uk/ws/files/49111770/Szewczyk_et_al._-_2024_-_Mechanistic_simulations_of_kelp_populations_in_a_d.pdf |
genre |
Northeast Atlantic |
genre_facet |
Northeast Atlantic |
op_source |
Szewczyk , T M , Moore , P , Smale , D A , Burrows , M & Adams , T 2024 , ' Mechanistic simulations of kelp populations in a dynamic landscape of light, temperature, and winter storms ' , Ecological Modelling , vol. 488 , 110590 . https://doi.org/10.1016/j.ecolmodel.2023.110590 |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.1016/j.ecolmodel.2023.110590 |
container_title |
Ecological Modelling |
container_volume |
488 |
container_start_page |
110590 |
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1790605206768058368 |