Record-low primary productivity and highplant damage in the Nordic Arctic Region in2012 caused by multiple weather events andpest outbreaks
Bjerke, Jarle W.; Karlsen, Stein Rune; Høgda, Kjell Arild; Malnes, Eirik; Jepsen, Jane Uhd; Lovibond, Sarah; Vikhamar-Schuler, Dagrun; Tømmervik, Hans
Peer reviewed, Journal article
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http://hdl.handle.net/11250/2561486Utgivelsesdato
2014Metadata
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Sammendrag
The release of cold temperature constraints on photosynthesis has led to increased productivity
(greening) in significant parts (32–39%) of the Arctic, but much of the Arctic shows stable
(57–64%) or reduced productivity (browning, <4%). Summer drought and wildfires are the bestdocumented
drivers causing browning of continental areas, but factors dampening the greening
effect of more maritime regions have remained elusive. Here we show how multiple anomalous
weather events severely affected the terrestrial productivity during one water year (October
2011–September 2012) in a maritime region north of the Arctic Circle, the Nordic Arctic Region,
and contributed to the lowest mean vegetation greenness (normalized difference vegetation
index) recorded this century. Procedures for field data sampling were designed during or shortly
after the events in order to assess both the variability in effects and the maximum effects of the
stressors. Outbreaks of insect and fungal pests also contributed to low greenness. Vegetation
greenness in 2012 was 6.8% lower than the 2000–11 average and 58% lower in the worst
affected areas that were under multiple stressors. These results indicate the importance of events
(some being mostly neglected in climate change effect studies and monitoring) for primary
productivity in a high-latitude maritime region, and highlight the importance of monitoring plant
damage in the field and including frequencies of stress events in models of carbon economy and
ecosystem change in the Arctic. Fourteen weather events and anomalies and 32 hypothesized
impacts on plant productivity are summarized as an aid for directing future research.
anomalous weather events, disturbance, extreme events, NDVI, long-term
monitoring series, pathogens, plant stress