High Arctic ecosystem states: Conceptual models of vegetation change to guide long-term monitoring and research

Vegetation change has consequences for terrestrial ecosystem structure and functioning and may involve climate feedbacks. Hence, when monitoring ecosystem states and changes thereof, the vegetation is often a primary monitoring target. Here, we summarize current understanding of vegetation change in...

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Published in:Ambio
Main Authors: Ravolainen, Virve, Soininen, Eeva Marjatta, Jónsdóttir, Ingibjörg Svala, Eischeid, Isabell, Forchhammer, Mads C., van der Wal, René, Pedersen, Åshild Ønvik
Format: Article in Journal/Newspaper
Language:English
Published: Springer 2020
Subjects:
Online Access:https://hdl.handle.net/10037/19080
https://doi.org/10.1007/s13280-019-01310-x
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spelling ftunivtroemsoe:oai:munin.uit.no:10037/19080 2023-05-15T14:27:17+02:00 High Arctic ecosystem states: Conceptual models of vegetation change to guide long-term monitoring and research Ravolainen, Virve Soininen, Eeva Marjatta Jónsdóttir, Ingibjörg Svala Eischeid, Isabell Forchhammer, Mads C. van der Wal, René Pedersen, Åshild Ønvik 2020-01-18 https://hdl.handle.net/10037/19080 https://doi.org/10.1007/s13280-019-01310-x eng eng Springer Eischeid, I. (2022). Tundra vegetation ecology from the sky - Aerial images and photogrammetry as tools to monitor landscape change. (Doctoral thesis). https://hdl.handle.net/10037/25016 . Ambio Ravolainen, Soininen, Jónsdóttir, Eischeid, Forchhammer, van der Wal, Pedersen. High Arctic ecosystem states: Conceptual models of vegetation change to guide long-term monitoring and research. Ambio. 2020;49(3):666-677 FRIDAID 1816210 doi:10.1007/s13280-019-01310-x 0044-7447 1654-7209 https://hdl.handle.net/10037/19080 openAccess Copyright 2020 The Author(s) VDP::Mathematics and natural science: 400 VDP::Matematikk og Naturvitenskap: 400 Journal article Tidsskriftartikkel Peer reviewed publishedVersion 2020 ftunivtroemsoe https://doi.org/10.1007/s13280-019-01310-x 2022-05-11T22:58:43Z Vegetation change has consequences for terrestrial ecosystem structure and functioning and may involve climate feedbacks. Hence, when monitoring ecosystem states and changes thereof, the vegetation is often a primary monitoring target. Here, we summarize current understanding of vegetation change in the High Arctic—the World’s most rapidly warming region—in the context of ecosystem monitoring. To foster development of deployable monitoring strategies, we categorize different kinds of drivers (disturbances or stresses) of vegetation change either as pulse (i.e. drivers that occur as sudden and short events, though their effects may be long lasting) or press (i.e. drivers where change in conditions remains in place for a prolonged period, or slowly increases in pressure). To account for the great heterogeneity in vegetation responses to climate change and other drivers, we stress the need for increased use of ecosystem-specific conceptual models to guide monitoring and ecological studies in the Arctic. We discuss a conceptual model with three hypothesized alternative vegetation states characterized by mosses, herbaceous plants, and bare ground patches, respectively. We use moss-graminoid tundra of Svalbard as a case study to discuss the documented and potential impacts of different drivers on the possible transitions between those states. Our current understanding points to likely additive effects of herbivores and a warming climate, driving this ecosystem from a moss-dominated state with cool soils, shallow active layer and slow nutrient cycling to an ecosystem with warmer soil, deeper permafrost thaw, and faster nutrient cycling. Herbaceous-dominated vegetation and (patchy) bare ground would present two states in response to those drivers. Conceptual models are an operational tool to focus monitoring efforts towards management needs and identify the most pressing scientific questions. We promote greater use of conceptual models in conjunction with a state-and-transition framework in monitoring to ensure fit for purpose approaches. Defined expectations of the focal systems’ responses to different drivers also facilitate linking local and regional monitoring efforts to international initiatives, such as the Circumpolar Biodiversity Monitoring Program. Article in Journal/Newspaper Arctic Arctic Circumpolar biodiversity monitoring program Climate change permafrost Svalbard Tundra University of Tromsø: Munin Open Research Archive Arctic Svalbard Ambio 49 3 666 677
institution Open Polar
collection University of Tromsø: Munin Open Research Archive
op_collection_id ftunivtroemsoe
language English
topic VDP::Mathematics and natural science: 400
VDP::Matematikk og Naturvitenskap: 400
spellingShingle VDP::Mathematics and natural science: 400
VDP::Matematikk og Naturvitenskap: 400
Ravolainen, Virve
Soininen, Eeva Marjatta
Jónsdóttir, Ingibjörg Svala
Eischeid, Isabell
Forchhammer, Mads C.
van der Wal, René
Pedersen, Åshild Ønvik
High Arctic ecosystem states: Conceptual models of vegetation change to guide long-term monitoring and research
topic_facet VDP::Mathematics and natural science: 400
VDP::Matematikk og Naturvitenskap: 400
description Vegetation change has consequences for terrestrial ecosystem structure and functioning and may involve climate feedbacks. Hence, when monitoring ecosystem states and changes thereof, the vegetation is often a primary monitoring target. Here, we summarize current understanding of vegetation change in the High Arctic—the World’s most rapidly warming region—in the context of ecosystem monitoring. To foster development of deployable monitoring strategies, we categorize different kinds of drivers (disturbances or stresses) of vegetation change either as pulse (i.e. drivers that occur as sudden and short events, though their effects may be long lasting) or press (i.e. drivers where change in conditions remains in place for a prolonged period, or slowly increases in pressure). To account for the great heterogeneity in vegetation responses to climate change and other drivers, we stress the need for increased use of ecosystem-specific conceptual models to guide monitoring and ecological studies in the Arctic. We discuss a conceptual model with three hypothesized alternative vegetation states characterized by mosses, herbaceous plants, and bare ground patches, respectively. We use moss-graminoid tundra of Svalbard as a case study to discuss the documented and potential impacts of different drivers on the possible transitions between those states. Our current understanding points to likely additive effects of herbivores and a warming climate, driving this ecosystem from a moss-dominated state with cool soils, shallow active layer and slow nutrient cycling to an ecosystem with warmer soil, deeper permafrost thaw, and faster nutrient cycling. Herbaceous-dominated vegetation and (patchy) bare ground would present two states in response to those drivers. Conceptual models are an operational tool to focus monitoring efforts towards management needs and identify the most pressing scientific questions. We promote greater use of conceptual models in conjunction with a state-and-transition framework in monitoring to ensure fit for purpose approaches. Defined expectations of the focal systems’ responses to different drivers also facilitate linking local and regional monitoring efforts to international initiatives, such as the Circumpolar Biodiversity Monitoring Program.
format Article in Journal/Newspaper
author Ravolainen, Virve
Soininen, Eeva Marjatta
Jónsdóttir, Ingibjörg Svala
Eischeid, Isabell
Forchhammer, Mads C.
van der Wal, René
Pedersen, Åshild Ønvik
author_facet Ravolainen, Virve
Soininen, Eeva Marjatta
Jónsdóttir, Ingibjörg Svala
Eischeid, Isabell
Forchhammer, Mads C.
van der Wal, René
Pedersen, Åshild Ønvik
author_sort Ravolainen, Virve
title High Arctic ecosystem states: Conceptual models of vegetation change to guide long-term monitoring and research
title_short High Arctic ecosystem states: Conceptual models of vegetation change to guide long-term monitoring and research
title_full High Arctic ecosystem states: Conceptual models of vegetation change to guide long-term monitoring and research
title_fullStr High Arctic ecosystem states: Conceptual models of vegetation change to guide long-term monitoring and research
title_full_unstemmed High Arctic ecosystem states: Conceptual models of vegetation change to guide long-term monitoring and research
title_sort high arctic ecosystem states: conceptual models of vegetation change to guide long-term monitoring and research
publisher Springer
publishDate 2020
url https://hdl.handle.net/10037/19080
https://doi.org/10.1007/s13280-019-01310-x
geographic Arctic
Svalbard
geographic_facet Arctic
Svalbard
genre Arctic
Arctic
Circumpolar biodiversity monitoring program
Climate change
permafrost
Svalbard
Tundra
genre_facet Arctic
Arctic
Circumpolar biodiversity monitoring program
Climate change
permafrost
Svalbard
Tundra
op_relation Eischeid, I. (2022). Tundra vegetation ecology from the sky - Aerial images and photogrammetry as tools to monitor landscape change. (Doctoral thesis). https://hdl.handle.net/10037/25016 .
Ambio
Ravolainen, Soininen, Jónsdóttir, Eischeid, Forchhammer, van der Wal, Pedersen. High Arctic ecosystem states: Conceptual models of vegetation change to guide long-term monitoring and research. Ambio. 2020;49(3):666-677
FRIDAID 1816210
doi:10.1007/s13280-019-01310-x
0044-7447
1654-7209
https://hdl.handle.net/10037/19080
op_rights openAccess
Copyright 2020 The Author(s)
op_doi https://doi.org/10.1007/s13280-019-01310-x
container_title Ambio
container_volume 49
container_issue 3
container_start_page 666
op_container_end_page 677
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