impacts of temperature extremes on european vegetation during the growing season
Clicks: 129
ID: 163954
2017
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Emerging Content
30.0
/100
129 views
19 readers
AI Quality Assessment
Not analyzed
Readership in this journal
EmergingRanked #265 of 345 articles by views in tetrahedron letters
Most read
Least read
Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 345 in total.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
Temperature is a key factor controlling plant growth and vitality in the
temperate climates of the mid-latitudes like in vast parts of the European
continent. Beyond the effect of average conditions, the timings and
magnitudes of temperature extremes play a particularly crucial role, which
needs to be better understood in the context of projected future rises in the
frequency and/or intensity of such events. In this work, we employ event
coincidence analysis (ECA) to quantify the likelihood of simultaneous
occurrences of extremes in daytime land surface temperature anomalies
(LSTAD) and the normalized difference vegetation index (NDVI). We perform
this analysis for entire Europe based upon remote sensing data,
differentiating between three periods corresponding to different stages of
plant development during the growing season. In addition, we analyze the
typical elevation and land cover type of the regions showing significantly
large event coincidences rates to identify the most severely affected
vegetation types. Our results reveal distinct spatio-temporal impact patterns
in terms of extraordinarily large co-occurrence rates between several
combinations of temperature and NDVI extremes. Croplands are among the most
frequently affected land cover types, while elevation is found to have only a
minor effect on the spatial distribution of corresponding extreme weather
impacts. These findings provide important insights into the vulnerability of
European terrestrial ecosystems to extreme temperature events and demonstrate
how event-based statistics like ECA can provide a valuable perspective on
environmental nexuses.
| Reference Key |
baumbach2017biogeosciencesimpacts
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | ;L. Baumbach;L. Baumbach;J. F. Siegmund;J. F. Siegmund;M. Mittermeier;M. Mittermeier;R. V. Donner |
| Journal | tetrahedron letters |
| Year | 2017 |
| DOI |
10.5194/bg-14-4891-2017
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.