Changes in greening in the High Arctic - insights from a 30-year AVHRR max NDVI dataset for Svalbard

Satellite-aided studies ofvegetation cover, biomass and productivity are becoming increasingly important for monitoring the effects ofa changing climate on the biosphere. With their large spatial coverage and good temporal resolution, space-borne instruments are ideal to observe remote areas over ex...

Full description

Bibliographic Details
Published in:Environmental Research Letters
Main Authors: Vickers, Hannah, Høgda, Kjell Arild, Solbø, Stian, Karlsen, Stein Rune, Tømmervik, Hans, Aanes, Ronny, Hansen, Brage Bremset
Format: Article in Journal/Newspaper
Language:English
Published: IOP Publishing 2016
Subjects:
Online Access:http://hdl.handle.net/11250/2420133
https://doi.org/10.1088/1748-9326/11/10/105004
id ftntnutrondheimi:oai:ntnuopen.ntnu.no:11250/2420133
record_format openpolar
spelling ftntnutrondheimi:oai:ntnuopen.ntnu.no:11250/2420133 2023-05-15T15:12:46+02:00 Changes in greening in the High Arctic - insights from a 30-year AVHRR max NDVI dataset for Svalbard Vickers, Hannah Høgda, Kjell Arild Solbø, Stian Karlsen, Stein Rune Tømmervik, Hans Aanes, Ronny Hansen, Brage Bremset 2016-11-02T12:46:15Z http://hdl.handle.net/11250/2420133 https://doi.org/10.1088/1748-9326/11/10/105004 eng eng IOP Publishing Environmental Research Letters 2016 urn:issn:1748-9326 http://hdl.handle.net/11250/2420133 https://doi.org/10.1088/1748-9326/11/10/105004 cristin:1386686 https://creativecommons.org/licenses/by/3.0/ CC-BY 11 Environmental Research Letters reduced greening trend satellite observations of vegetation 30 year time series of NDVI on Svalbard effects of warming on vegetation productivity Journal article Peer reviewed 2016 ftntnutrondheimi https://doi.org/10.1088/1748-9326/11/10/105004 2019-09-17T06:52:02Z Satellite-aided studies ofvegetation cover, biomass and productivity are becoming increasingly important for monitoring the effects ofa changing climate on the biosphere. With their large spatial coverage and good temporal resolution, space-borne instruments are ideal to observe remote areas over extended time periods. However, long time seriesdatasets with global coverage have in many cases too lowspatial resolution for sparsely vegetated high latitude areas. Thisstudy has made use ofa newly developed 30 year 1 kmspatial resolution dataset from 1986 to 2015, provided bythe NOAAAVHRR series ofsatellites, in order to calculate the annual maximum NDVI over parts of Svalbard ( 78 ° N ) .This parameterisindicative ofvegetation productivity and has therefore enabled usto study long-term changes in greeningwithin the Inner Fjord Zone on Svalbard. In addition, local meteorological data are availabletolinkmaximumNDVIvaluesto the temporalbehaviorofthe meangrowingseason ( summer ) temperature for the study area. Overthe 30 yearperiod, we fi nd positive trends in both maximum NDVI ( average increase of29% ) and mean summer temperature ( 59% ) , which were signi fi cantly positively correlated with each other.Thissuggests a temporal greening trend mediated by summer warming. However, as also recently reported for lower latitudes, the strength ofthe year-to-year correlation between maximum NDVI and mean summer temperature decreased, suggestingthatthe response of vegetationto summer warming has not remainedthe same overthe entire study period. Original content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence . Any further distribution of this work must maintain attribution to the author ( s ) and the title of the work, journal citation and DO Article in Journal/Newspaper Arctic Svalbard NTNU Open Archive (Norwegian University of Science and Technology) Arctic Svalbard Environmental Research Letters 11 10 105004
institution Open Polar
collection NTNU Open Archive (Norwegian University of Science and Technology)
op_collection_id ftntnutrondheimi
language English
topic reduced greening trend
satellite observations of vegetation
30 year time series of NDVI on Svalbard
effects of warming on vegetation productivity
spellingShingle reduced greening trend
satellite observations of vegetation
30 year time series of NDVI on Svalbard
effects of warming on vegetation productivity
Vickers, Hannah
Høgda, Kjell Arild
Solbø, Stian
Karlsen, Stein Rune
Tømmervik, Hans
Aanes, Ronny
Hansen, Brage Bremset
Changes in greening in the High Arctic - insights from a 30-year AVHRR max NDVI dataset for Svalbard
topic_facet reduced greening trend
satellite observations of vegetation
30 year time series of NDVI on Svalbard
effects of warming on vegetation productivity
description Satellite-aided studies ofvegetation cover, biomass and productivity are becoming increasingly important for monitoring the effects ofa changing climate on the biosphere. With their large spatial coverage and good temporal resolution, space-borne instruments are ideal to observe remote areas over extended time periods. However, long time seriesdatasets with global coverage have in many cases too lowspatial resolution for sparsely vegetated high latitude areas. Thisstudy has made use ofa newly developed 30 year 1 kmspatial resolution dataset from 1986 to 2015, provided bythe NOAAAVHRR series ofsatellites, in order to calculate the annual maximum NDVI over parts of Svalbard ( 78 ° N ) .This parameterisindicative ofvegetation productivity and has therefore enabled usto study long-term changes in greeningwithin the Inner Fjord Zone on Svalbard. In addition, local meteorological data are availabletolinkmaximumNDVIvaluesto the temporalbehaviorofthe meangrowingseason ( summer ) temperature for the study area. Overthe 30 yearperiod, we fi nd positive trends in both maximum NDVI ( average increase of29% ) and mean summer temperature ( 59% ) , which were signi fi cantly positively correlated with each other.Thissuggests a temporal greening trend mediated by summer warming. However, as also recently reported for lower latitudes, the strength ofthe year-to-year correlation between maximum NDVI and mean summer temperature decreased, suggestingthatthe response of vegetationto summer warming has not remainedthe same overthe entire study period. Original content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence . Any further distribution of this work must maintain attribution to the author ( s ) and the title of the work, journal citation and DO
format Article in Journal/Newspaper
author Vickers, Hannah
Høgda, Kjell Arild
Solbø, Stian
Karlsen, Stein Rune
Tømmervik, Hans
Aanes, Ronny
Hansen, Brage Bremset
author_facet Vickers, Hannah
Høgda, Kjell Arild
Solbø, Stian
Karlsen, Stein Rune
Tømmervik, Hans
Aanes, Ronny
Hansen, Brage Bremset
author_sort Vickers, Hannah
title Changes in greening in the High Arctic - insights from a 30-year AVHRR max NDVI dataset for Svalbard
title_short Changes in greening in the High Arctic - insights from a 30-year AVHRR max NDVI dataset for Svalbard
title_full Changes in greening in the High Arctic - insights from a 30-year AVHRR max NDVI dataset for Svalbard
title_fullStr Changes in greening in the High Arctic - insights from a 30-year AVHRR max NDVI dataset for Svalbard
title_full_unstemmed Changes in greening in the High Arctic - insights from a 30-year AVHRR max NDVI dataset for Svalbard
title_sort changes in greening in the high arctic - insights from a 30-year avhrr max ndvi dataset for svalbard
publisher IOP Publishing
publishDate 2016
url http://hdl.handle.net/11250/2420133
https://doi.org/10.1088/1748-9326/11/10/105004
geographic Arctic
Svalbard
geographic_facet Arctic
Svalbard
genre Arctic
Svalbard
genre_facet Arctic
Svalbard
op_source 11
Environmental Research Letters
op_relation Environmental Research Letters 2016
urn:issn:1748-9326
http://hdl.handle.net/11250/2420133
https://doi.org/10.1088/1748-9326/11/10/105004
cristin:1386686
op_rights https://creativecommons.org/licenses/by/3.0/
op_rightsnorm CC-BY
op_doi https://doi.org/10.1088/1748-9326/11/10/105004
container_title Environmental Research Letters
container_volume 11
container_issue 10
container_start_page 105004
_version_ 1766343410898173952