Microbial dynamics in a High Arctic glacier forefield:a combined field, laboratory, and modelling approach
Modelling the development of soils in glacier forefields is necessary in order to assess how microbial and geochemical processes interact and shape soil development in response to glacier retreat. Furthermore, such models can help us predict microbial growth and the fate of Arctic soils in an increa...
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ftuniaarhuspubl:oai:pure.atira.dk:publications/95df077e-416a-4ea7-b15f-4dbccedd9df3 2023-05-15T14:26:10+02:00 Microbial dynamics in a High Arctic glacier forefield:a combined field, laboratory, and modelling approach Bradley, James Arndt, Sandra Sabacka, Marie Benning, LG Barker, Gary Blacker, Joshua Yallop, Marian Wright, Katherine Bellas, Christopher Telling, Jon Tranter, Martyn Anesio, Alexandre 2016-10 https://pure.au.dk/portal/da/publications/microbial-dynamics-in-a-high-arctic-glacier-forefield(95df077e-416a-4ea7-b15f-4dbccedd9df3).html https://doi.org/10.5194/bg-13-5677-2016 eng eng info:eu-repo/semantics/restrictedAccess Bradley , J , Arndt , S , Sabacka , M , Benning , LG , Barker , G , Blacker , J , Yallop , M , Wright , K , Bellas , C , Telling , J , Tranter , M & Anesio , A 2016 , ' Microbial dynamics in a High Arctic glacier forefield : a combined field, laboratory, and modelling approach ' , Biogeosciences , vol. 13 , no. 19 , pp. 5677-5696 . https://doi.org/10.5194/bg-13-5677-2016 article 2016 ftuniaarhuspubl https://doi.org/10.5194/bg-13-5677-2016 2022-02-16T23:50:04Z Modelling the development of soils in glacier forefields is necessary in order to assess how microbial and geochemical processes interact and shape soil development in response to glacier retreat. Furthermore, such models can help us predict microbial growth and the fate of Arctic soils in an increasingly ice-free future. Here, for the first time, we combined field sampling with laboratory analyses and numerical modelling to investigate microbial community dynamics in oligotrophic proglacial soils in Svalbard. We measured low bacterial growth rates and growth efficiencies (relative to estimates from Alpine glacier forefields) and high sensitivity of bacterial growth rates to soil temperature (relative to temperate soils). We used these laboratory measurements to inform parameter values in a new numerical model and significantly refined predictions of microbial and biogeochemical dynamics of soil development over a period of roughly 120 years. The model predicted the observed accumulation of autotrophic and heterotrophic biomass. Genomic data indicated that initial microbial communities were dominated by bacteria derived from the glacial environment, whereas older soils hosted a mixed community of autotrophic and heterotrophic bacteria. This finding was simulated by the numerical model, which showed that active microbial communities play key roles in fixing and recycling carbon and nutrients. We also demonstrated the role of allochthonous carbon and microbial necromass in sustaining a pool of organic material, despite high heterotrophic activity in older soils. This combined field, laboratory, and modelling approach demonstrates the value of integrated model–data studies to understand and quantify the functioning of the microbial community in an emerging High Arctic soil ecosystem. Article in Journal/Newspaper Arctic Arctic glacier Svalbard Aarhus University: Research Arctic Svalbard Biogeosciences 13 19 5677 5696 |
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Open Polar |
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Aarhus University: Research |
op_collection_id |
ftuniaarhuspubl |
language |
English |
description |
Modelling the development of soils in glacier forefields is necessary in order to assess how microbial and geochemical processes interact and shape soil development in response to glacier retreat. Furthermore, such models can help us predict microbial growth and the fate of Arctic soils in an increasingly ice-free future. Here, for the first time, we combined field sampling with laboratory analyses and numerical modelling to investigate microbial community dynamics in oligotrophic proglacial soils in Svalbard. We measured low bacterial growth rates and growth efficiencies (relative to estimates from Alpine glacier forefields) and high sensitivity of bacterial growth rates to soil temperature (relative to temperate soils). We used these laboratory measurements to inform parameter values in a new numerical model and significantly refined predictions of microbial and biogeochemical dynamics of soil development over a period of roughly 120 years. The model predicted the observed accumulation of autotrophic and heterotrophic biomass. Genomic data indicated that initial microbial communities were dominated by bacteria derived from the glacial environment, whereas older soils hosted a mixed community of autotrophic and heterotrophic bacteria. This finding was simulated by the numerical model, which showed that active microbial communities play key roles in fixing and recycling carbon and nutrients. We also demonstrated the role of allochthonous carbon and microbial necromass in sustaining a pool of organic material, despite high heterotrophic activity in older soils. This combined field, laboratory, and modelling approach demonstrates the value of integrated model–data studies to understand and quantify the functioning of the microbial community in an emerging High Arctic soil ecosystem. |
format |
Article in Journal/Newspaper |
author |
Bradley, James Arndt, Sandra Sabacka, Marie Benning, LG Barker, Gary Blacker, Joshua Yallop, Marian Wright, Katherine Bellas, Christopher Telling, Jon Tranter, Martyn Anesio, Alexandre |
spellingShingle |
Bradley, James Arndt, Sandra Sabacka, Marie Benning, LG Barker, Gary Blacker, Joshua Yallop, Marian Wright, Katherine Bellas, Christopher Telling, Jon Tranter, Martyn Anesio, Alexandre Microbial dynamics in a High Arctic glacier forefield:a combined field, laboratory, and modelling approach |
author_facet |
Bradley, James Arndt, Sandra Sabacka, Marie Benning, LG Barker, Gary Blacker, Joshua Yallop, Marian Wright, Katherine Bellas, Christopher Telling, Jon Tranter, Martyn Anesio, Alexandre |
author_sort |
Bradley, James |
title |
Microbial dynamics in a High Arctic glacier forefield:a combined field, laboratory, and modelling approach |
title_short |
Microbial dynamics in a High Arctic glacier forefield:a combined field, laboratory, and modelling approach |
title_full |
Microbial dynamics in a High Arctic glacier forefield:a combined field, laboratory, and modelling approach |
title_fullStr |
Microbial dynamics in a High Arctic glacier forefield:a combined field, laboratory, and modelling approach |
title_full_unstemmed |
Microbial dynamics in a High Arctic glacier forefield:a combined field, laboratory, and modelling approach |
title_sort |
microbial dynamics in a high arctic glacier forefield:a combined field, laboratory, and modelling approach |
publishDate |
2016 |
url |
https://pure.au.dk/portal/da/publications/microbial-dynamics-in-a-high-arctic-glacier-forefield(95df077e-416a-4ea7-b15f-4dbccedd9df3).html https://doi.org/10.5194/bg-13-5677-2016 |
geographic |
Arctic Svalbard |
geographic_facet |
Arctic Svalbard |
genre |
Arctic Arctic glacier Svalbard |
genre_facet |
Arctic Arctic glacier Svalbard |
op_source |
Bradley , J , Arndt , S , Sabacka , M , Benning , LG , Barker , G , Blacker , J , Yallop , M , Wright , K , Bellas , C , Telling , J , Tranter , M & Anesio , A 2016 , ' Microbial dynamics in a High Arctic glacier forefield : a combined field, laboratory, and modelling approach ' , Biogeosciences , vol. 13 , no. 19 , pp. 5677-5696 . https://doi.org/10.5194/bg-13-5677-2016 |
op_rights |
info:eu-repo/semantics/restrictedAccess |
op_doi |
https://doi.org/10.5194/bg-13-5677-2016 |
container_title |
Biogeosciences |
container_volume |
13 |
container_issue |
19 |
container_start_page |
5677 |
op_container_end_page |
5696 |
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1766298640624648192 |