2011
DOI: 10.1111/j.1365-2745.2011.01932.x
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Succession‐induced trait shifts across a wide range of NW European ecosystems are driven by light and modulated by initial abiotic conditions

Abstract: Summary1. For truly predictive community ecology, it is essential to understand the interplay between species traits, their environment and their impacts on the composition of plant communities. These interactions are increasingly understood for various environmental drivers, but our understanding of how traits, in general, change during succession is still modest. We hypothesize that (initial) abiotic conditions other than light drive the successional dynamics of other traits. The idea that different initial … Show more

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Cited by 64 publications
(60 citation statements)
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“…I would add that while such processes apply throughout the study area, cer tain historical conditions (e.g. glaciation, vulcanicity) greatly influence soil and other ecological processes as well as wind exposure and other biotic and abiotic factors (Šrůtek & Do le žal 2003;Douma et al 2012).…”
Section: Discussionmentioning
confidence: 99%
“…I would add that while such processes apply throughout the study area, cer tain historical conditions (e.g. glaciation, vulcanicity) greatly influence soil and other ecological processes as well as wind exposure and other biotic and abiotic factors (Šrůtek & Do le žal 2003;Douma et al 2012).…”
Section: Discussionmentioning
confidence: 99%
“…on climate-driven processes that determine the availability of -as well as the plants' needs for -water, oxygen and nutrients in the root environment (Bartholomeus et al, 2011b). Moreover, research is required on the ecological effects of weather extremes (Smith, 2011), as well as on the effects of climate and vegetation on soil development and habitat factors (Douma et al, 2012a;Van Oene et al, 1999).…”
Section: Uncertaintiesmentioning
confidence: 99%
“…Each of these methods has limitations-for example, trait-environment relationships do not well explain observed trait spatial patterns (1,25), while species-based approaches limit the scope of extrapolation to only areas with well-measured species abundance. More critically, the first two global methodologies emphasized estimating a single trait value per PFT at every location, whereas both ground-based (5,14) and remotely sensed (26) observations suggest that at ecosystem or landscape scales traits would be better represented by distributions.…”
mentioning
confidence: 99%