Literature DB >> 17333288

Variability of the start of the growing season in Fennoscandia, 1982-2002.

Stein Rune Karlsen1, Inger Solheim, Pieter S A Beck, Kjell Arild Høgda, Frans Emil Wielgolaski, Hans Tømmervik.   

Abstract

Fennoscandia is characterized by a large degree of climatic diversity. Vegetation phenology may respond differently to climate change according to the climatic gradients within the region. To map the annual and spatial variability of the start of the growing season (SOS) in Fennoscandia, the twice-monthly GIMMS-NDVI satellite dataset was used. The data set has an 8 x 8 km(2) spatial resolution and covers the period from 1982 to 2002. The mapping was done by applying pixel-specific threshold values to the NDVI data. These threshold values were determined form surface phenology data on birch (Betula sp.). Then, we produced NDVI based maps of SOS for each of the 21 years. Finally, the time differences between the SOS and the last day of snow cover, as well as dates of passing different temperatures, were analyzed for 21 meteorological stations. The analyses showed that 1985 was the most extreme year in terms of late SOS. In terms of early SOS, the year 1990 was by far the most extreme. Locally, the SOS has an average range of 1 month between the earliest and latest recorded SOS, with a trend towards a bigger range in the oceanic parts. The results indicate that a 1 degrees C increase in spring temperatures in general corresponds to an advancement of 5-6 days in SOS. However, there is a clear trend according to the degree of oceanity, with a 1 degrees C increase in the most oceanic parts corresponding roughly to 7-9 days earlier SOS, compared to less than 5 days earlier in the continental parts.

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Year:  2007        PMID: 17333288     DOI: 10.1007/s00484-007-0091-x

Source DB:  PubMed          Journal:  Int J Biometeorol        ISSN: 0020-7128            Impact factor:   3.738


  12 in total

1.  Higher northern latitude normalized difference vegetation index and growing season trends from 1982 to 1999.

Authors:  C J Tucker; D A Slayback; J E Pinzon; S O Los; R B Myneni; M G Taylor
Journal:  Int J Biometeorol       Date:  2001-11       Impact factor: 3.787

2.  Trends in phenological phases in Europe between 1951 and 1996.

Authors:  A Menzel
Journal:  Int J Biometeorol       Date:  2000-08       Impact factor: 3.787

3.  Individual leaf development in Arabidopsis thaliana: a stable thermal-time-based programme.

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Journal:  Ann Bot       Date:  2002-05       Impact factor: 4.357

4.  Physiology-based phenology models for forest tree species in Germany.

Authors:  Jörg Schaber; Franz-W Badeck
Journal:  Int J Biometeorol       Date:  2003-04-16       Impact factor: 3.787

5.  Responses in the start of Betula (birch) pollen seasons to recent changes in spring temperatures across Europe.

Authors:  J Emberlin; M Detandt; R Gehrig; S Jaeger; N Nolard; A Rantio-Lehtimäki
Journal:  Int J Biometeorol       Date:  2002-07-26       Impact factor: 3.787

6.  Onset of flowering and climate variability in an alpine landscape: a 10-year study from Swedish Lapland.

Authors:  Ulf Molau; Urban Nordenhäll; Bente Eriksen
Journal:  Am J Bot       Date:  2005-03       Impact factor: 3.844

7.  Growing seasons of Nordic mountain birch in northernmost Europe as indicated by long-term field studies and analyses of satellite images.

Authors:  E Shutova; F E Wielgolaski; S R Karlsen; O Makarova; N Berlina; T Filimonova; E Haraldsson; P E Aspholm; L Flø; K A Høgda
Journal:  Int J Biometeorol       Date:  2006-07-11       Impact factor: 3.787

8.  Daylength and thermal time responses of budburst during dormancy release in some northern deciduous trees.

Authors:  O M Heide
Journal:  Physiol Plant       Date:  1993-08       Impact factor: 4.500

9.  Phenological modifications in plants by various edaphic factors.

Authors:  F E Wielgolaski
Journal:  Int J Biometeorol       Date:  2001-11       Impact factor: 3.787

10.  Climatic factors governing plant phenological phases along a Norwegian fjord.

Authors:  F E Wielgolaski
Journal:  Int J Biometeorol       Date:  2003-05-15       Impact factor: 3.787

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  14 in total

1.  Temporal variations of NDVI and correlations between NDVI and hydro-climatological variables at Lake Baiyangdian, China.

Authors:  Fei Wang; Xuan Wang; Ying Zhao; Zhifeng Yang
Journal:  Int J Biometeorol       Date:  2013-10-31       Impact factor: 3.787

2.  Phase-dependent outbreak dynamics of geometrid moth linked to host plant phenology.

Authors:  Jane U Jepsen; Snorre B Hagen; Stein-Rune Karlsen; Rolf A Ims
Journal:  Proc Biol Sci       Date:  2009-09-09       Impact factor: 5.349

3.  The rise of phenology with climate change: an evaluation of IJB publications.

Authors:  Alison Donnelly; Rong Yu
Journal:  Int J Biometeorol       Date:  2017-05-19       Impact factor: 3.787

4.  Extended season for northern butterflies.

Authors:  Bengt Karlsson
Journal:  Int J Biometeorol       Date:  2013-03-01       Impact factor: 3.787

5.  Climatic warming above the Arctic Circle: are there trends in timing and length of the thermal growing season in Murmansk Region (Russia) between 1951 and 2012?

Authors:  Ilona Blinova; Frank-Michael Chmielewski
Journal:  Int J Biometeorol       Date:  2014-08-27       Impact factor: 3.787

6.  Divergence in parturition timing and vegetation onset in a large herbivore-differences along a latitudinal gradient.

Authors:  Wiebke Neumann; Navinder J Singh; Fredrik Stenbacka; Jonas Malmsten; Kjell Wallin; John P Ball; Göran Ericsson
Journal:  Biol Lett       Date:  2020-06-17       Impact factor: 3.703

7.  An optical sensor network for vegetation phenology monitoring and satellite data calibration.

Authors:  Lars Eklundh; Hongxiao Jin; Per Schubert; Radoslaw Guzinski; Michal Heliasz
Journal:  Sensors (Basel)       Date:  2011-08-04       Impact factor: 3.576

8.  Climate change, phenology, and butterfly host plant utilization.

Authors:  Jose A Navarro-Cano; Bengt Karlsson; Diana Posledovich; Tenna Toftegaard; Christer Wiklund; Johan Ehrlén; Karl Gotthard
Journal:  Ambio       Date:  2015-01       Impact factor: 5.129

9.  Habitat-performance relationships of a large mammal on a predator-free island dominated by humans.

Authors:  Andrew M Allen; Augusta Dorey; Jonas Malmsten; Lars Edenius; Göran Ericsson; Navinder J Singh
Journal:  Ecol Evol       Date:  2016-12-20       Impact factor: 2.912

10.  Vegetation productivity patterns at high northern latitudes: a multi-sensor satellite data assessment.

Authors:  Kevin C Guay; Pieter S A Beck; Logan T Berner; Scott J Goetz; Alessandro Baccini; Wolfgang Buermann
Journal:  Glob Chang Biol       Date:  2014-07-21       Impact factor: 10.863

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