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Puglielli, G.

Publications and source records attributed to Puglielli, G..

6 recordsLinked to original sources

A skewed picture of functional diversity in global drylands

Recently, Gross et al. (Nature 632, 808-814) found that plant phenotypic diversity dramatically increases with aridity globally, challenging conventional environmental filtering theories. However, some methodological choices by Gross et al. might overestimate the effect of aridity on phenotypic diversity: (i) We detected a skewed distribution of sampling sites towards the arid end of the analyzed gradient; (ii) We posited that fine-tuning of some statistical parameters might further challenge their estimates. We reanalyzed Gross et al. data accounting for these effects and found a substantially reduced change of phenotypic diversity with increasing aridity. Gross et al. surely represents a cornerstone for future research on trait diversity in a drier world, but their interpretations need to be considered alongside our findings. Importantly, the points raised by our reanalysis provide general guidelines for future research on plant phenotypic diversity changes along environmental gradients.

ecology↗

funspace: an R package to build, analyze and plot functional trait spaces

O_LIFunctional trait space analyses are pivotal to define species ecological strategies across the tree of life. Yet, there is no single application that streamlines the many sometimes-troublesome steps needed to build and analyze functional trait spaces. C_LIO_LITo fill this gap, we propose funspace, an R package to easily handle bivariate and multivariate (PCA-based) functional trait space analyses. The six functions that constitute the package can be grouped in three modules: Building and exploring, Mapping, and Plotting. C_LIO_LIThe building and exploring module defines the main features of a functional trait space (e.g., functional diversity metrics) by leveraging kernel density-based methods. The mapping module uses general additive models to map how a target variable distributes within a trait space. The plotting module provides many options for creating flexible and high-quality figures representing the outputs obtained from previous modules. We provide a worked example to demonstrate a complete funspace workflow. C_LIO_LIfunspace will provide researchers working with functional traits across the tree of life with an indispensable asset to easily explore: (i) the main features of any functional trait space, (ii) the relationship between a functional trait space and any other biological or non-biological factor that might contribute to shaping species functional diversity. C_LI

ecology↗

Clonality-Related Traits Add Independent Specialization Axes to Herbs' Trait Strategies

The functional diversity of vascular plants is remarkable. Yet, previous studies showed that trait trade-offs constrain aboveground or fine-root trait variation. How do neglected functions such as resprouting and clonal growth, key for fitness maintenance in some plant groups, integrate in these trait frameworks? By using an extensive dataset (> 2000 species) spanning aboveground, fine-root and clonality-related traits of herbs, we asked whether clonal traits relate to species positioning in the aboveground or fine-root trait spaces. Clonal and non-clonal herbs were undistinguishable in the aboveground or fine-root trait spaces. Clonality-related traits were also weakly coordinated with the other trait dimensions. Altogether, these results suggest that clonality-related traits add independent functional specialization axes to plants trait strategies. We identified two potential specialization axes in clonal traits. The first axis summarizes the positive scaling between bud bank size and persistence of clonal connections, reflecting species specialization for on-spot persistence and tolerance to disturbance (persistence axis). The second axis, summarizes the positive scaling between multiplication rate and lateral spread, reflecting specialization for clonal multiplication and acquiring new space in horizontal dimension (clonal multiplication axis). We call for integrating these axes in existing strategy schemes to fully elucidate the multidimensional trait strategies of plants.

ecology↗

An updated framework to account for inter-individual variability when quantifying phenotypic variation

O_LIIn trait-based ecology, phenotypic variation (PVar) is often quantified with measures that express average differences between populations standardized in the range 0-1. A major problem with these measures is that they disregard the within-population trait variability. In addition, most of these measures cannot be decomposed across scales. This can alter their interpretation, thus limiting their applicability. C_LIO_LITo overcome these problems, we propose a new measure, the Phenotypic Dissimilarity Index (PhD) that is insensitive to the within-population interindividual trait variability. Likewise, PhD can be used to quantify PVar between individuals in a population while accounting for the PVar within individuals. C_LIO_LIUsing simulated and real data, we showed that PhD index correctly quantifies PVar when the within-population trait variability is not negligible, as in many ecological studies. By accounting for within-population trait variability, the PhD index generally provides a more parsimonious quantification of PVar across an environmental gradient compared to other estimators. C_LIO_LITraits sampled within a species have an inherent variability. Accounting for such variability is essential to understand species phenotypic responses to environmental cues. As such, the PhD index will provide ecologists with an asset to reliably quantify and compare PVar within and between species across environmental gradients at different scales. We also provide an R function to calculate the PhD index. C_LI

ecology↗

The cold-drought tolerance trade-off in temperate woody plants constrains range size, but not range filling

Interspecific differences in plant species ranges are shaped by complex mechanistic interactions, which have so far remained largely beyond the reach of comprehensive models and explanations. Previous attempts to find underlying mechanisms by examining physiological tolerances to cold and heat separately have yielded contradictory results. Here we test the hypothesis that, instead of examining single stressors, abiotic stress tolerance syndromes that involve trade-offs between multiple abiotic stressors (namely drought, cold, waterlogging and shade), will provide reliable explanations. We compiled a dataset of actual range size and range filling (the ratio between actual and potential species range) as range metrics for 331 temperate woody plants species from Europe and North America. Tolerance syndromes were expressed as two PCA axes. One axis reflects a drought-cold/waterlogging tolerance trade-off (cold/wet-drought trade-off), the second axis represents a shade tolerance spectrum. Phylogenetic generalized linear mixed models were used to model the range metric-tolerance axes relationships using latitude as an additional main effect, and phylogeny and plant functional type as random effects. Actual range scaled negatively with the cold/wet-drought tolerance trade-off axis, mostly independently of latitude and continent. Thus, cold/wet-tolerant species had the largest ranges and drought tolerant species the smallest. The sign (-) of the relationship was independent of phylogeny and plant functional type. In contrast, range filling depended on latitude. However, deciduous and evergreen species displayed different distributions of range metrics and tolerance syndromes. No significant relationships with the shade tolerance spectrum were found. Our findings demonstrate that the cold/wet-drought trade-off partly explains interspecific range size differences. However, this trade-off did not explain range filling. We also showed that fundamental adaptations of species also significantly influence range sizes - stress avoidance through the deciduous habit also explained interspecific differences in range size.

ecology↗

Leaf Rolling As Indicator Of Water Stress In Cistus incanus From Different Provenances

The relationship between leaf rolling and physiological traits under imposed water stress conditions was analyzed in C. incanus representative saplings collected at different altitudes (i.e. Castelporziano, 41{degrees}45'N, 12{degrees}26'E, 0 m a.s.l. and Natural Park of Monti Lucretili, 42{degrees}33'N, 12{degrees}54'E, 750 m a.s.l) and grown ex-situ. The hypothesis that leaf rolling reflected physiological changes occurring during water stress irrespective to the different acclimation to cope with water stress was tested.\n\nOn the whole, the results show that leaf rolling is associated to an increased sub-stomatal CO2 concentration (Ci) and a decreased carboxylation efficiency (Ce). Moreover, leaf rolling in C. incanus leaves might be involved in protecting the PSII complex under water stress during the progressive inhibition of photosynthetic metabolism.

plant biology↗