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Biology subjects

de Kroon, H.

Publications and source records attributed to de Kroon, H..

2 recordsLinked to original sources

Phenology and flower species availability define wild bee communities on river embankments

River embankments cover extensive areas in estuaries worldwide, yet their potential for pollinator conservation remains largely unexplored. Even more so than road verges, these embankments may offer widespread habitat for pollinators due to their size and sun-facing warm slopes. Here we present a comprehensive analysis of bee communities from 157 dike grasslands along the lower branches of the Meuse and Rhine rivers in the Netherlands in relation to vegetation composition and landscape characteristics. We encountered nearly half (156) of all Dutch bee species. Almost 10% of all individuals belonged to red-listed species, especially in early spring when we observed rich ground nesting bee communities with their associated kleptoparasites. Wild bee abundance and diversity increased with more flowering plant species present, but saturated at low flower species richness. This early saturation suggests that even modest conservation efforts could effectively alleviate floral resource limitation for pollinators. In contrast to the overall pattern, red-listed species occurrence increased with flower diversity without saturating effects and correlated stronger with landscape level factors. Together, these results highlight the unique conservational value of river embankments for wild bees and illustrate the unused potential at many dike grasslands worldwide.

ecology↗

Plant traits are poor predictors of long-term ecosystem functioning

Earth is home to over 350,000 vascular plant species1 that differ in their traits in innumerable ways. Yet, a handful of functional traits can help explaining major differences among species in photosynthetic rate, growth rate, reproductive output and other aspects of plant performance2-6. A key challenge, coined "the Holy Grail" in ecology, is to upscale this understanding in order to predict how natural or anthropogenically driven changes in the identity and diversity of co-occurring plant species drive the functioning of ecosystems7, 8. Here, we analyze the extent to which 42 different ecosystem functions can be predicted by 41 plant traits in 78 experimentally manipulated grassland plots over 10 years. Despite the unprecedented number of traits analyzed, the average percentage of variation in ecosystem functioning that they jointly explained was only moderate (32.6%) within individual years, and even much lower (12.7%) across years. Most other studies linking ecosystem functioning to plant traits analyzed no more than six traits, and when including either only six random or the six most frequently studied traits in our analysis, the average percentage of explained variation in across-year ecosystem functioning dropped to 4.8%. Furthermore, different ecosystem functions were driven by different traits, with on average only 12.2% overlap in significant predictors. Thus, we did not find evidence for the existence of a small set of key traits able to explain variation in multiple ecosystem functions across years. Our results therefore suggest that there are strong limits in the extent to which we can predict the long-term functional consequences of the ongoing, rapid changes in the composition and diversity of plant communities that humanity is currently facing.

ecology↗