2017
DOI: 10.1016/j.scitotenv.2017.05.050
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Understanding the drivers of extensive plant damage in boreal and Arctic ecosystems: Insights from field surveys in the aftermath of damage

Abstract: The exact cause of population dieback in nature is often challenging to identify retrospectively. Plant research in northern regions has in recent decades been largely focussed on the opposite trend, namely increasing populations and higher productivity. However, a recent unexpected decline in remotely-sensed estimates of terrestrial Arctic primary productivity suggests that warmer northern lands do not necessarily result in higher productivity. As large-scale plant dieback may become more frequent at high nor… Show more

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Cited by 84 publications
(118 citation statements)
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“…Overall, dwarf shrubs such as the species C. tetragona and D. octopetala [6] have varying spectral shapes in the 700 nm to~1000 nm spectral range compared with the alpine bistort B. vivipara and polar willow S. polaris. Damage ratios for C. tetragona and D. octopetala appeared not to be good indicators for vitality, but only the green leaves were measured.…”
Section: Discussionmentioning
confidence: 99%
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“…Overall, dwarf shrubs such as the species C. tetragona and D. octopetala [6] have varying spectral shapes in the 700 nm to~1000 nm spectral range compared with the alpine bistort B. vivipara and polar willow S. polaris. Damage ratios for C. tetragona and D. octopetala appeared not to be good indicators for vitality, but only the green leaves were measured.…”
Section: Discussionmentioning
confidence: 99%
“…This step was achieved using stepwise linear discriminant analysis (LDA) for band selection [38] and nonparametric multivariate analysis of variance technique (NPMANOVA) to validate the ability of selected bands to successfully separate all species (measured group differences are statistically significant) [39]. Secondly, plant vitality by means of optical vegetation indices was assessed [6]. On each plot for the dwarf shrub species (Cassiope tetragona and Dryas octopetala) we measured the cover of each species following a percent scale, the health status using the color of the apex leaves of each species and finally the damage ratio of each species following the methods in Bjerke et al [6].…”
Section: In-situ Data Collection and Processingmentioning
confidence: 99%
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