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Moisture availability is the main limiting factor of plant growth and biomass production in arid and semi-arid grasslands. The question whether plant responses to changing precipitation are species-specific, or change over entire plant communities is still controversial. Our study focussed on intraspecific changes in the plant traits canopy height, plant width, specific leaf area, chlorophyll fluorescence, performance index, and individual biomass of three congeneric species pairs with changing precipitation in Mongolian rangelands, covering a gradient from the desert to the forest steppes. Using this trait data set, we focussed on three questions: (i) Is the replacement of congeneric species along an environmental gradient also reflected in their trait values? (ii) Can intraspecific trait variation patterns be derived from patterns in species abundances, i.e., are trait values optimal where species are most abundant? (iii) Is the within-population trait variability lowest in populations growing under very dry conditions, i.e., under highest environmental stress, caused by stronger filtering? We tested the responses of the six traits to changing precipitation according to species’ identity and abundance. We found unimodal relationships between most of the species’ traits and precipitation, and strong associations between species abundances and trait values, but not for all investigated species. Trait variability did not significantly differ between populations from different positions along the precipitation gradient. Our results highlight that species show multiple or even opposite trait responses along the precipitation gradient. It thus remains challenging to predict how plant distributions will shift under changing environmental conditions based on their trait composition.

As a result of water regulation measures and the subsequent introduction of intensive use practices, riverine floodplains have suffered severe habitat and species losses. With the changed economic conditions and decrease in animal stocking rates after 1990, opportunities arose for the partial restoration of species-rich vegetation areas in East Germany. Sixty permanent plots were established in the lower Havel Valley in the federal state of Brandenburg from 1993 to 1999. We studied the effects of extensification and partial rewetting in this area during a monitoring programme that lasted until 2018. For this purpose, groundwater levels, historical land use, and soil chemical parameters were investigated, and the soil seed bank and phytosociological releves were sampled. Previous research has shown that an extended period of intensive grassland use eliminates the possibility of success in short- to medium-term natural restoration because of the lack of suitable propagules. Our question was as follows: how does a floodplain grassland respond to extensification and decreased water regulation in an area that experienced a shorter period of intensification in the past, such as the lower Havel floodplain? Tests of soil samples showed a depleted soil seed bank at the beginning of the monitoring period, but the seed bank was less depleted than those in other areas. Using cluster analysis followed by discriminant analysis, we identified water regime parameters and historical land-use intensity as the main drivers of vegetation differentiation. The classification resulted in the differentiation of vegetation into 13 plant communities. Plant communities were combined into 5 main groups based on their location in the ordination diagram of a detrended correspondence analysis. The shift in group centroids over time correlated with increases in the species diversity and moisture level for all groups. The altered species composition as a result of the changed water regime after 1990 influenced the usability of the grassland differently depending on the relief level. At the end of monitoring, vegetation at sites in the mesic moisture range was determined to have the highest fodder quality observed in this study. With increasing mean groundwater levels, the forage quality of the vegetation decreased until it was so low that the vegetation was hardly suitable for use as animal forage. The plant species diversity was negatively correlated with the plant-available P and Ellenberg N indicator value. Plant-available P, K and Mg showed evidence of leaching during the later study period. The abundance of red-listed species and extensive-use indicator species increased over the course of the study period. This positive trend was reversed by the extreme flood event in the summer of 2013. However, the high species richness and the species compositions of the reference communities were not equal in the other communities, even after almost 30 years of extensification. This finding underlines the importance of the few remaining meadows that are rich in typical floodplain species as donor areas of autochthonous seeds. The results of this study are discussed in light of sustainable management practices and global climate change.

In dry steppes, strong climatic constraints, especially highly variable precipitation, and grazing are the most important factors controlling plant life. Growth is strongly limited by water availability, while grazing may affect species presence and performance. However, there is a lack of studies on population genetics of dryland plants in general, and of those addressing grazing effects in particular. To determine the landscape-scale genetic structure of dryland species, and if grazing has an impact on that, we chose the Eurasian steppe grass Stipa glareosa for a population genetic study employing nine polymorphic Simple Sequence Repeat (SSR) markers. We assessed genetic fingerprints of 200 individuals from six populations in Mongolia, which were sampled along a large-scale precipitation and altitudinal gradient. Nested within this gradient, sub-populations were sampled along short local transects representing different grazing intensities. Overall, S. glareosa populations showed rather low levels of genetic diversity at a mean Bruvo distance among individuals within a given population of 0.494 (mean expected heterozygosity He = 0.053). Linear mixed model analysis implied that genetic diversity was affected by both climatic constraints and local grazing conditions. We found a moderate isolation-by-distance pattern across all populations; grazing additionally influenced the genetic structure at local scale. Analysis of Molecular Variance revealed a modest genetic differentiation between populations (9 % of variation) and among sub-populations representing different grazing levels (11 %). Moreover, we detected indicator alleles that were exclusive for populations along the precipitation gradient; other alleles were associated with certain grazing levels across all populations. Thus, our data suggest that climatic constraints affect the genetic structure of S. glareosa populations, while at local scales differences in grazing disturbance may also matter.