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Many studies have shown plant species' dispersal distances to be strongly related to life‐history traits, but how well different traits can predict dispersal distances is not yet known. We used cross‐validation techniques and a global data set (576 plant species) to measure the predictive power of simple plant traits to estimate species' maximum dispersal distances. Including dispersal syndrome (wind, animal, ant, ballistic, and no special syndrome), growth form (tree, shrub, herb), seed mass, seed release height, and terminal velocity in different combinations as explanatory variables we constructed models to explain variation in measured maximum dispersal distances and evaluated their power to predict maximum dispersal distances. Predictions are more accurate, but also limited to a particular set of species, if data on more specific traits, such as terminal velocity, are available. The best model (R² = 0.60) included dispersal syndrome, growth form, and terminal velocity as fixed effects. Reasonable predictions of maximum dispersal distance (R² = 0.53) are also possible when using only the simplest and most commonly measured traits; dispersal syndrome and growth form together with species taxonomy data. We provide a function (dispeRsal) to be run in the software package R. This enables researchers to estimate maximum dispersal distances with confidence intervals for plant species using measured traits as predictors. Easily obtainable trait data, such as dispersal syndrome (inferred from seed morphology) and growth form, enable predictions to be made for a large number of species.

Aims Floral traits are frequently studied in population biology and evolutionary ecology but are rarely considered in functional trait‐based studies focusing on the assembly of communities. We address this gap in trait‐based community assembly by synthesizing the existing literature on processes driving floral and pollination‐related trait patterns at community scales. We highlight limitations of the field due to lack of data and suggest potential directions of future research. Methods We conducted a systematic literature search collating studies that investigated floral traits in the context of plant community assembly, which allowed us to synthesize the current state of the art and point out important gaps in our knowledge. Conclusions The literature review shows that including pollination‐related traits in community assembly studies can shed new light on species coexistence patterns not accounted for by other types of traits. The synthesis presented here shows the diversity of approaches and existing techniques which can generate a step forward in this open field of research. What currently seems to hinder comprehensive analyses of floral traits at community levels is the lack of data, particularly in existing large repositories for traits worldwide, as well as a gap in linking modern coexistence theory with floral traits. This synthesis aims to link community‐scale pollination ecology studies to co‐existence and community assembly theory to better understand mechanisms driving floral trait patterns in diverse plant communities. We review and synthesize the general trends in floral trait patterns and underlying processes, in order to support and direct future developments in this emerging field.

1. While plant competition for light has received considerable attention, the facilitative effect that shading can have on plants and the role of species‐specific adaptations in mediating this phenomenon are still poorly understood. Evidence is accumulating, however, that positive interactions can play as important a role in community structuring as has been shown for competition. 2. We examined interspecific variation in growth responses to shade using 46 temperate grassland species grown for 10 weeks in a common garden under identical soil conditions but at different levels of shading. The importance of morphological plasticity and habitat preference as species traits determining the net effect of shading on plant growth was tested. 3. Moderate shade (50% daylight) had, on average, a net facilitative effect on plant mass. Plant growth in the 25% daylight treatment was not significantly different from that in full daylight, and it was only when 90% of natural light was made unavailable that shaded plants attained a significantly lower dry mass than plants in full daylight. 4. Species that exhibited the most pronounced reduction in specific leaf area and increased allocation to roots in full compared with 50% daylight were least facilitated by shading. This finding supports the hypothesis that morphological plasticity is an important trait determining the strength of facilitative interactions. 5. The growth response to shade was also dependent on species’ ecological optima, with species characteristic of nutrient‐poor or dry habitats most facilitated by shade. Greater growth enhancement by shade in grassland stress‐tolerant plants is surprising because such species frequently occupy unproductive vegetation with little shade and should therefore be adapted to high irradiance. This result calls into question the notion that a positive effect of shade on growth always reflects stress amelioration. 6. Synthesis. Our study demonstrates a widespread ability of plant species to decouple growth from resource availability and challenges our understanding of the processes determining plant productivity.

Functional diversity (FD) is an important component of biodiversity that quantifies the difference in functional traits between organisms. However, FD studies are often limited by the availability of trait data and FD indices are sensitive to data gaps. The distribution of species abundance and trait data, and its transformation, may further affect the accuracy of indices when data is incomplete. Using an existing approach, we simulated the effects of missing trait data by gradually removing data from a plant, an ant and a bird community dataset (12, 59, and 8 plots containing 62, 297 and 238 species respectively). We ranked plots by FD values calculated from full datasets and then from our increasingly incomplete datasets and compared the ranking between the original and virtually reduced datasets to assess the accuracy of FD indices when used on datasets with increasingly missing data. Finally, we tested the accuracy of FD indices with and without data transformation, and the effect of missing trait data per plot or per the whole pool of species. FD indices became less accurate as the amount of missing data increased, with the loss of accuracy depending on the index. But, where transformation improved the normality of the trait data, FD values from incomplete datasets were more accurate than before transformation. The distribution of data and its transformation are therefore as important as data completeness and can even mitigate the effect of missing data. Since the effect of missing trait values pool-wise or plot-wise depends on the data distribution, the method should be decided case by case. Data distribution and data transformation should be given more careful consideration when designing, analysing and interpreting FD studies, especially where trait data are missing. To this end, we provide the R package “traitor” to facilitate assessments of missing trait data.

Theories explaining community assembly assume that biotic and abiotic filters sort species into communities based on the values of their traits and are thus based on between‐species trait variability (BTV). Nevertheless, these filters act on individuals rather than on species. Consequently, the selection is also influenced by intraspecific trait variability (ITV) and its drivers. These drivers may be abiotic (e.g., water availability) or biotic (e.g., competition). Although closely related species should have similar traits, many of them coexist. We investigated the relative magnitudes of BTV and ITV in coexisting closely related species and how their individual traits differ under different drivers of ITV. We manipulated conditions in a greenhouse pot experiment with four common Carex species, where individuals of each species originated from four source localities. Individuals were grown in factorial combinations of two moisture levels, with and without a competitor (grass species Holcus lanatus, a frequent competitor). We analyzed the variability of six morphological traits on individuals in the greenhouse and three morphological traits in the source localities. Species identity was the main determinant of differences in most traits. Competition exerted a greater effect than water availability. For leaf dry matter content (LDMC) and vegetative height, competition's effect even exceeded the variability among species. On the contrary, for specific leaf area (SLA) and clonal spread, the interspecific differences exceeded ITV induced by experimental treatments. SLA measured in the greenhouse closely correlated with values measured in field populations, while LDMC did not. The variability caused by source locality of ramets in the greenhouse was small, although sometimes significant. Closely related species differ in their traits, but for some traits, ITV can exceed BTV. We can expect that ITV can modify the processes of community assembly, particularly among coexisting closely related species. Our study found that closely related species that are similar in their overall appearance and habitus can differ in their functional traits. At the same time, for some traits, phenotypic plasticity (particularly, the part induced by competition) might exceed interspecific differences. Our results point to a potential role of ITV in small‐scale coexistence, in particular for cases where closely related subordinate species respond to competition from dominants.

What determines the stability of communities under environmental fluctuations remains one of the most debated questions in ecology. Scholars generally agree that the similarity in year‐to‐year fluctuations between species is an important determinant of this stability. Concordant fluctuations in species abundances through time (synchrony) decrease stability while discordance in fluctuations (anti‐synchrony) should stabilize communities. Researchers have interpreted the community‐wide degree of synchrony in temporal fluctuations as the outcome of different processes. However, existing synchrony measures depend not only on year‐to‐year species fluctuations, but also on long‐term directional trends in species composition, for example due to land‐use or climate change. The neglected effect of directional trends in species composition could cause an apparent increase in synchrony that is not due to year‐to‐year fluctuations, as species that simultaneously increase (or decrease) in abundance over time will appear correlated, even if they fluctuate discordantly from year to year. The opposite pattern is also conceivable, where different species show contrasting trends in their abundances, thus overestimating year‐to‐year anti‐synchrony. Therefore, trends in species composition may limit our understanding of potential ecological mechanisms behind synchrony between species. We propose two easily implementable solutions, with corresponding R functions, for testing and accounting for the effect of trends in species composition on overall synchrony. The first approach is based on computing synchrony over the residuals of fitted species trends over time. The second approach, applicable to already existing indices, is based on three‐terms local variance, i.e. computing variance over three‐years‐long, movable windows. We demonstrate these methods using simulations and data from real plant communities under long‐term directional changes, discussing when one approach can be preferred. We show that accounting for long‐term temporal trends is necessary and that separation of effect of trends and year‐to‐year fluctuation provides a better understanding of ecological mechanisms and their connections with ecological theory.

1. Dispersal is fundamental to ecological processes at all scales and levels of organization, but progress is limited by a lack of information about the general shape and form of plant dispersal kernels. We addressed this gap by synthesizing empirical data describing seed dispersal and fitting general dispersal kernels representing major plant types and dispersal modes. 2. A comprehensive literature search resulted in 107 papers describing 168 dispersal kernels for 144 vascular plant species. The data covered 63 families, all the continents except Antarctica, and the broad vegetation types of forest, grassland, shrubland and more open habitats (e.g. deserts). We classified kernels in terms of dispersal mode (ant, ballistic, rodent, vertebrates other than rodents, vehicle or wind), plant growth form (climber, graminoid, herb, shrub or tree), seed mass and plant height. 3. We fitted 11 widely used probability density functions to each of the 168 data sets to provide a statistical description of the dispersal kernel. The exponential power (ExP) and log-sech (LogS) functions performed best. Other 2-parameter functions varied in performance. For example, the log-normal and Weibull performed poorly, while the 2Dt and power law performed moderately well. Of the single-parameter functions, the Gaussian performed very poorly, while the exponential performed better. No function was among the best-fitting for all data sets. 4. For 10 plant growth form/dispersal mode combinations for which we had >3 data sets, we fitted ExP and LogS functions across multiple data sets to provide generalized dispersal kernels. We also fitted these functions to subdivisions of these growth form/dispersal mode combinations in terms of seed mass (for animal-dispersed seeds) or plant height (wind-dispersed) classes. These functions provided generally good fits to the grouped data sets, despite variation in empirical methods, local conditions, vegetation type and the exact dispersal process. 5. Synthesis. We synthesize the rich empirical information on seed dispersal distances to provide standardized dispersal kernels for 168 case studies and generalized kernels for plant growth form/dispersal mode combinations. Potential uses include the following: (i) choosing appropriate dispersal functions in mathematical models; (ii) selecting informative dispersal kernels for one's empirical study system; and (iii) using representative dispersal kernels in cross-taxon comparative studies.

A correction to this article has been published and is linked from the HTML and PDF versions of this paper. The error has been fixed in the paper.A correction to this article has been published and is linked from the HTML and PDF versions of this paper. The error has been fixed in the paper.

Although many studies have shown that species richness decreases from low to high latitudes (the Latitudinal Diversity Gradient), little is known about the relationship between latitude and phylogenetic diversity. Here we examine global latitudinal patterns of phylogenetic diversity using a dataset of 459 woody and 589 herbaceous plant communities. We analysed the relationships between community phylogenetic diversity, latitude, biogeographic realm and vegetation type. Using the most recent global megaphylogeny for seed plants and the standardised effect sizes of the phylogenetic diversity metrics ‘mean pairwise distance’ (SES mpd ) and ‘mean nearest taxon distance’ (SES mntd ), we found that species were more closely-related at low latitudes in woody communities. In herbaceous communities, species were more closely-related at high latitudes than at intermediate latitudes, and the strength of this effect depended on biogeographic realm and vegetation type. Possible causes of this difference are contrasting patterns of speciation and dispersal. Most woody lineages evolved in the tropics, with many gymnosperms but few angiosperms adapting to high latitudes. In contrast, the recent evolution of herbaceous lineages such as grasses in young habitat types may drive coexistence of closely-related species at high latitudes. Our results show that high species richness commonly observed at low latitudes is not associated with high phylogenetic diversity.

1. Plant invasions can drastically change the structure of native communities, but it is not fully understood whether alien species occupy phylogenetic and functional space within the range occupied by natives, or provide a novel set of evolutionary origins and traits to the invaded communities. 2. Here, we evaluated this open question with data on a large number of plant communities from different terrestrial habitats. We used ~27,000 vegetation plots from 26 terrestrial habitats in the Czech Republic and compared phylogenetic and functional diversity (PD and FD, respectively) and community trait means in invaded and non-invaded plots. We tested for differences (1) between invaded vs. non-invaded plots, (2) among natives in invaded vs. non-invaded plots, and (3) in invaded plots only, with and without aliens. To minimize habitat filtering effects on PD and FD, we ran these tests within the habitat-specific species pools of the 26 vegetation types. 3. In general, PD, FD and trait mean values changed with invasion, with changes being rather consistent across the habitats considered. Invaded plots were less phylogenetically, but more functionally diverse than non-invaded plots. The greater FD in invaded plots, compared to non-invaded ones, was due to greater dissimilarity between natives. In fact, native species in invaded plots showed higher PD and FD than native species in non-invaded plots, while alien species reduced PD and FD in invaded plots. Changes in the trait means with invasion were due to differences in native species in invaded and non-invaded plots, rather than to an effect of alien species. Within most habitats, the trait means and variance of all aliens were similar to those of all natives, while in some habitats, the variability in traits was greater between aliens that belonged to phylogenetically closer clades. 4. Synthesis. Our results suggest that alien species more often occupy a phylogenetic and functional space within the range formed by the native species in a community. They do so either by filling empty gaps or by excluding natives from the existing phylogenetic and functional space, rather than occupying or creating a phylogenetic and trait space outside of it.