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Biology subjects

Herben, T.

Publications and source records attributed to Herben, T..

3 recordsLinked to original sources

Root foraging response to gradients of calcium and magnesium, essential bivalent cations with low mobility in the soil

Plants forage for nutrients by root proliferation in nutrient-rich patches. While foraging for nitrogen and phosphorus has been repeatedly confirmed, foraging for calcium and magnesium, which are essential for plant growth and form much more stable patches in the soil, has never been examined. We examined preferential root placement into dolomite-limestone-rich patches in a pot experiment with 17 species, and compared it with foraging for a nitrogen, phosphorus and potassium mixture (NPK). About one half of the species showed root proliferation in dolomite-rich patches. It was less pronounced than foraging for NPK and did not show any relationship to species field preferences to soil reaction, or dicots-grass difference, but it showed clear negative relationship to species-specific Ca+Mg tissue concentrations. While foraging for NPK shows the potential of species to change their root systems by proliferation, only some species use this potential to respond to the Ca+Mg gradient. The negative correlation of this response to Ca+Mg tissue concentrations implies that nonresponding species compensate for it by physiological mechanisms. The response to Ca+Mg also implies that in contrast to nitrogen, which never shows stable patches in the soil, Ca+Mg-rich patches, which are much more stable, can be exploited by root proliferation.

plant biology↗

Functional traits trade-offs define plant population stability worldwide

O_LIEcological theory posits that temporal stability patterns in plant populations are associated with differences in species ecological strategies. However, empirical evidence is lacking about which traits, or trade-offs, underlie species stability, specially across different ecosystems. C_LIO_LITo address this, we compiled a global collection of long-term permanent vegetation records (>7000 plots from 78 datasets) from a wide range of habitats and combined this with existing trait databases. We tested whether the observed inter-annual variability in species abundance (coefficient of variation) was related to multiple individual traits and multivariate axes of trait variations (PCoA axes). C_LIO_LIWe found that species with greater leaf dry matter content and seed mass were consistently more stable over time (lower variability in species abundance) although other leaf traits played a significant role as well, albeit weaker. Using multivariate axes did not improve predictions by specific traits. C_LIO_LIOur results confirm existing theory, providing compelling empirical evidence on the importance of specific traits, which point at ecological trade-offs in different resource use and dispersal strategies, on the stability of plant populations worldwide. C_LI

ecology↗

LOTVS: a global collection of permanent vegetation plots

Analysing temporal patterns in plant communities is extremely important to quantify the extent and the consequences of ecological changes, especially considering the current biodiversity crisis. Long-term data collected through the regular sampling of permanent plots represent the most accurate resource to study ecological succession, analyse the stability of a community over time and understand the mechanisms driving vegetation change. We hereby present the LOng-Term Vegetation Sampling (LOTVS) initiative, a global collection of vegetation time-series derived from the regular monitoring of vascular plants in permanent plots. With 79 datasets from five continents and 7789 vegetation time-series monitored for at least six years and mostly on an annual basis, LOTVS possibly represents the largest collection of temporally fine-grained vegetation time-series derived from permanent plots and made accessible to the research community. As such, it has an outstanding potential to support innovative research in the fields of vegetation science, plant ecology and temporal ecology.

ecology↗