Transitions in high-Arctic vegetation growth patterns and ecosystem productivity tracked with automated cameras from 2000 to 2013

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Transitions in high-Arctic vegetation growth patterns and ecosystem productivity tracked with automated cameras from 2000 to 2013. / Westergaard-Nielsen, Andreas; Lund, Magnus; Pedersen, Stine Højlund; Schmidt, Niels Martin; Klosterman, Stephen; Abermann, Jakob; Hansen, Birger.

I: Ambio, Bind 46, Nr. Suppl. 1, 2017, s. 39-52.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Westergaard-Nielsen, A, Lund, M, Pedersen, SH, Schmidt, NM, Klosterman, S, Abermann, J & Hansen, B 2017, 'Transitions in high-Arctic vegetation growth patterns and ecosystem productivity tracked with automated cameras from 2000 to 2013', Ambio, bind 46, nr. Suppl. 1, s. 39-52. https://doi.org/10.1007/s13280-016-0864-8

APA

Westergaard-Nielsen, A., Lund, M., Pedersen, S. H., Schmidt, N. M., Klosterman, S., Abermann, J., & Hansen, B. (2017). Transitions in high-Arctic vegetation growth patterns and ecosystem productivity tracked with automated cameras from 2000 to 2013. Ambio, 46(Suppl. 1), 39-52. https://doi.org/10.1007/s13280-016-0864-8

Vancouver

Westergaard-Nielsen A, Lund M, Pedersen SH, Schmidt NM, Klosterman S, Abermann J o.a. Transitions in high-Arctic vegetation growth patterns and ecosystem productivity tracked with automated cameras from 2000 to 2013. Ambio. 2017;46(Suppl. 1):39-52. https://doi.org/10.1007/s13280-016-0864-8

Author

Westergaard-Nielsen, Andreas ; Lund, Magnus ; Pedersen, Stine Højlund ; Schmidt, Niels Martin ; Klosterman, Stephen ; Abermann, Jakob ; Hansen, Birger. / Transitions in high-Arctic vegetation growth patterns and ecosystem productivity tracked with automated cameras from 2000 to 2013. I: Ambio. 2017 ; Bind 46, Nr. Suppl. 1. s. 39-52.

Bibtex

@article{5290d54a658a47b6993001103cb8fb36,
title = "Transitions in high-Arctic vegetation growth patterns and ecosystem productivity tracked with automated cameras from 2000 to 2013",
abstract = "Climate-induced changes in vegetation phenology at northern latitudes are still poorly understood. Continued monitoring and research are therefore needed to improve the understanding of abiotic drivers. Here we used 14 years of time lapse imagery and climate data from high-Arctic Northeast Greenland to assess the seasonal response of a dwarf shrub heath, grassland, and fen, to inter-annual variation in snow-cover, soil moisture, and air and soil temperatures. A late snow melt and start of growing season is counterbalanced by a fast greenup and a tendency to higher peak greenness values. Snow water equivalents and soil moisture explained up to 77 % of growing season duration and senescence phase, highlighting that water availability is a prominent driver in the heath site, rather than temperatures. We found a significant advance in the start of spring by 10 days and in the end of fall by 11 days, resulting in an unchanged growing season length. Vegetation greenness, derived from the imagery, was correlated to primary productivity, showing that the imagery holds valuable information on vegetation productivity.",
keywords = "High-Arctic, Photography, Primary productivity, Time lapse, Vegetation phenology",
author = "Andreas Westergaard-Nielsen and Magnus Lund and Pedersen, {Stine H{\o}jlund} and Schmidt, {Niels Martin} and Stephen Klosterman and Jakob Abermann and Birger Hansen",
note = "CENPERMOA[2017]",
year = "2017",
doi = "10.1007/s13280-016-0864-8",
language = "English",
volume = "46",
pages = "39--52",
journal = "Ambio",
issn = "0044-7447",
publisher = "Springer",
number = "Suppl. 1",

}

RIS

TY - JOUR

T1 - Transitions in high-Arctic vegetation growth patterns and ecosystem productivity tracked with automated cameras from 2000 to 2013

AU - Westergaard-Nielsen, Andreas

AU - Lund, Magnus

AU - Pedersen, Stine Højlund

AU - Schmidt, Niels Martin

AU - Klosterman, Stephen

AU - Abermann, Jakob

AU - Hansen, Birger

N1 - CENPERMOA[2017]

PY - 2017

Y1 - 2017

N2 - Climate-induced changes in vegetation phenology at northern latitudes are still poorly understood. Continued monitoring and research are therefore needed to improve the understanding of abiotic drivers. Here we used 14 years of time lapse imagery and climate data from high-Arctic Northeast Greenland to assess the seasonal response of a dwarf shrub heath, grassland, and fen, to inter-annual variation in snow-cover, soil moisture, and air and soil temperatures. A late snow melt and start of growing season is counterbalanced by a fast greenup and a tendency to higher peak greenness values. Snow water equivalents and soil moisture explained up to 77 % of growing season duration and senescence phase, highlighting that water availability is a prominent driver in the heath site, rather than temperatures. We found a significant advance in the start of spring by 10 days and in the end of fall by 11 days, resulting in an unchanged growing season length. Vegetation greenness, derived from the imagery, was correlated to primary productivity, showing that the imagery holds valuable information on vegetation productivity.

AB - Climate-induced changes in vegetation phenology at northern latitudes are still poorly understood. Continued monitoring and research are therefore needed to improve the understanding of abiotic drivers. Here we used 14 years of time lapse imagery and climate data from high-Arctic Northeast Greenland to assess the seasonal response of a dwarf shrub heath, grassland, and fen, to inter-annual variation in snow-cover, soil moisture, and air and soil temperatures. A late snow melt and start of growing season is counterbalanced by a fast greenup and a tendency to higher peak greenness values. Snow water equivalents and soil moisture explained up to 77 % of growing season duration and senescence phase, highlighting that water availability is a prominent driver in the heath site, rather than temperatures. We found a significant advance in the start of spring by 10 days and in the end of fall by 11 days, resulting in an unchanged growing season length. Vegetation greenness, derived from the imagery, was correlated to primary productivity, showing that the imagery holds valuable information on vegetation productivity.

KW - High-Arctic

KW - Photography

KW - Primary productivity

KW - Time lapse

KW - Vegetation phenology

U2 - 10.1007/s13280-016-0864-8

DO - 10.1007/s13280-016-0864-8

M3 - Journal article

C2 - 28116683

AN - SCOPUS:85010380084

VL - 46

SP - 39

EP - 52

JO - Ambio

JF - Ambio

SN - 0044-7447

IS - Suppl. 1

ER -

ID: 173286370