Climate-Ecological Observatory for Arctic Tundra
This is chapter 2 of the State of Environmental Science in Svalbard (SESS) report 2019 (https://sios-svalbard.org/SESS_Issue2). COAT is a response to the urgent international calls for establishment of observation systems that make it possible to gain insight into how climate impacts Arctic tundra....
Main Authors: | , , , , , , , , , , , , , |
---|---|
Format: | Report |
Language: | English |
Published: |
Zenodo
2020
|
Subjects: | |
Online Access: | https://dx.doi.org/10.5281/zenodo.4704474 https://zenodo.org/record/4704474 |
id |
ftdatacite:10.5281/zenodo.4704474 |
---|---|
record_format |
openpolar |
spelling |
ftdatacite:10.5281/zenodo.4704474 2023-05-15T14:51:52+02:00 Climate-Ecological Observatory for Arctic Tundra Pedersen, Åshild Ønvik Stien, Jennifer Albon, Steve Fuglei, Eva Isaksen, Ketil Liston, Glen Jepsen, Jane U Ravolainen, Virve T Reinking, Adele K Soininen, Eeeva M Stien, Audun van der Wal, René Yoccoz, Nigel G Ims, Rolf A 2020 https://dx.doi.org/10.5281/zenodo.4704474 https://zenodo.org/record/4704474 en eng Zenodo https://zenodo.org/communities/sios https://dx.doi.org/10.5281/zenodo.4704475 https://zenodo.org/communities/sios Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess CC-BY Adaptive monitoring climate change ecological monitoring ecosystem based monitoring food-web long-term management terrestrial Text Report report 2020 ftdatacite https://doi.org/10.5281/zenodo.4704474 https://doi.org/10.5281/zenodo.4704475 2021-11-05T12:55:41Z This is chapter 2 of the State of Environmental Science in Svalbard (SESS) report 2019 (https://sios-svalbard.org/SESS_Issue2). COAT is a response to the urgent international calls for establishment of observation systems that make it possible to gain insight into how climate impacts Arctic tundra. COAT Svalbard is an essential component of SIOS and serves to optimise and integrate the ecosystem-based terrestrial monitoring. Variations from year to year and differences from place to place make long-term monitoring essential to support the complex decisions involved in conservation, management and policymaking. The COAT approach is holistic, covering entire ecosystems by integrating information about living and non-living factors over time and space, with clearly defined monitoring goals. Monitoring modules within COAT Svalbard track five key climate-sensitive food web pathways as well as climate parameters that determine how those pathways function (www.coat.no). Each module is described in terms of expected direct and indirect relationships between organisms in the food web pathways, and how climate and management interventions might influence these interactions. The programme is implemented according to a peer-reviewed Science Plan with a solid foundation in the scientific literature. COAT Svalbard focuses on two contrasting Arctic regions: Nordenskiöld Land and Brøggerhalvøya and surrounding areas. The vertebrate populations being monitored in these areas currently appear to be stable or growing. However, the lack of long-term monitoring of the vegetation communities on which these animals rely hinders understanding of bottom-up processes within the food web. COAT aims to fill these gaps and provide new insight into how climate change impacts High Arctic tundra ecosystems. Report Arctic Climate change Nordenskiöld Land Svalbard Tundra DataCite Metadata Store (German National Library of Science and Technology) Arctic Svalbard Nordenskiöld Land ENVELOPE(15.000,15.000,77.833,77.833) Brøggerhalvøya ENVELOPE(11.736,11.736,78.915,78.915) |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
Adaptive monitoring climate change ecological monitoring ecosystem based monitoring food-web long-term management terrestrial |
spellingShingle |
Adaptive monitoring climate change ecological monitoring ecosystem based monitoring food-web long-term management terrestrial Pedersen, Åshild Ønvik Stien, Jennifer Albon, Steve Fuglei, Eva Isaksen, Ketil Liston, Glen Jepsen, Jane U Ravolainen, Virve T Reinking, Adele K Soininen, Eeeva M Stien, Audun van der Wal, René Yoccoz, Nigel G Ims, Rolf A Climate-Ecological Observatory for Arctic Tundra |
topic_facet |
Adaptive monitoring climate change ecological monitoring ecosystem based monitoring food-web long-term management terrestrial |
description |
This is chapter 2 of the State of Environmental Science in Svalbard (SESS) report 2019 (https://sios-svalbard.org/SESS_Issue2). COAT is a response to the urgent international calls for establishment of observation systems that make it possible to gain insight into how climate impacts Arctic tundra. COAT Svalbard is an essential component of SIOS and serves to optimise and integrate the ecosystem-based terrestrial monitoring. Variations from year to year and differences from place to place make long-term monitoring essential to support the complex decisions involved in conservation, management and policymaking. The COAT approach is holistic, covering entire ecosystems by integrating information about living and non-living factors over time and space, with clearly defined monitoring goals. Monitoring modules within COAT Svalbard track five key climate-sensitive food web pathways as well as climate parameters that determine how those pathways function (www.coat.no). Each module is described in terms of expected direct and indirect relationships between organisms in the food web pathways, and how climate and management interventions might influence these interactions. The programme is implemented according to a peer-reviewed Science Plan with a solid foundation in the scientific literature. COAT Svalbard focuses on two contrasting Arctic regions: Nordenskiöld Land and Brøggerhalvøya and surrounding areas. The vertebrate populations being monitored in these areas currently appear to be stable or growing. However, the lack of long-term monitoring of the vegetation communities on which these animals rely hinders understanding of bottom-up processes within the food web. COAT aims to fill these gaps and provide new insight into how climate change impacts High Arctic tundra ecosystems. |
format |
Report |
author |
Pedersen, Åshild Ønvik Stien, Jennifer Albon, Steve Fuglei, Eva Isaksen, Ketil Liston, Glen Jepsen, Jane U Ravolainen, Virve T Reinking, Adele K Soininen, Eeeva M Stien, Audun van der Wal, René Yoccoz, Nigel G Ims, Rolf A |
author_facet |
Pedersen, Åshild Ønvik Stien, Jennifer Albon, Steve Fuglei, Eva Isaksen, Ketil Liston, Glen Jepsen, Jane U Ravolainen, Virve T Reinking, Adele K Soininen, Eeeva M Stien, Audun van der Wal, René Yoccoz, Nigel G Ims, Rolf A |
author_sort |
Pedersen, Åshild Ønvik |
title |
Climate-Ecological Observatory for Arctic Tundra |
title_short |
Climate-Ecological Observatory for Arctic Tundra |
title_full |
Climate-Ecological Observatory for Arctic Tundra |
title_fullStr |
Climate-Ecological Observatory for Arctic Tundra |
title_full_unstemmed |
Climate-Ecological Observatory for Arctic Tundra |
title_sort |
climate-ecological observatory for arctic tundra |
publisher |
Zenodo |
publishDate |
2020 |
url |
https://dx.doi.org/10.5281/zenodo.4704474 https://zenodo.org/record/4704474 |
long_lat |
ENVELOPE(15.000,15.000,77.833,77.833) ENVELOPE(11.736,11.736,78.915,78.915) |
geographic |
Arctic Svalbard Nordenskiöld Land Brøggerhalvøya |
geographic_facet |
Arctic Svalbard Nordenskiöld Land Brøggerhalvøya |
genre |
Arctic Climate change Nordenskiöld Land Svalbard Tundra |
genre_facet |
Arctic Climate change Nordenskiöld Land Svalbard Tundra |
op_relation |
https://zenodo.org/communities/sios https://dx.doi.org/10.5281/zenodo.4704475 https://zenodo.org/communities/sios |
op_rights |
Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.5281/zenodo.4704474 https://doi.org/10.5281/zenodo.4704475 |
_version_ |
1766323012917788672 |