602,652 research outputs found
Functional traits of expanding, thicket-forming shrubs: contrasting strategies between exotic and native species
Woody expansion has been documented for decades in many different systems globally, often yielding vast changes in ecosystem functioning. While causes and consequences of woody expansion have been well documented, few studies have addressed plant functional traits that promote dramatic and rapid expansion in range. Our objectives were to investigate plant functional traits that contribute to the colonization, rapid expansion, and thicket formation of an invasive, N-fixing shrub, Elaeagnus umbellata Thunb. (Elaeagnaceae), and a native, N-fixing shrub Morella cerifera (L.) Small (Myricaceae) and compare to native, sympatric, non-expanding shrub species. Quantified functional traits included morphological (e.g., specific leaf area, leaf area) and physiological characteristics (e.g., electron transport rate, hydraulic conductivity) and were linked to two primary resources: light and water, which directly influence plant growth. Elaeagnus umbellata and M. cerifera rely on different strategies to maximize carbon gain, yet resulting physiological efficiency is similar. Elaeagnus umbellata invests a substantial amount of energy into growth during a short amount of time (i.e., deciduous growing season), using an acquisitive trait strategy to outcompete co-occurring woody species, while M. cerifera is productive year-round and uses a combination of conservative and acquisitive traits to outcompete co-occurring woody species. The majority of quantified functional traits of E. umbellata and several of M. cerifera are indicative of efficient light capture, utilization, and internal water movement. These factors contribute to rapid range expansion and thicket formation by promoting enhanced productivity while simultaneously inhibiting colonization and expansion of co-occurring species. Suites of functional traits are important for expansive success and thicket formation, yet differences in functional traits represent alternative strategies for colonization, rapid expansion, and thicketization
Defining functional groups of tree species according to rural stakeholder perceptions in Central-Mali
In the Tiby area (Segou region, Mali), the intensive exploitation of timber resources and the lack of tree regeneration lead to a degradation of agroforestry parklands for years. In 2010, a study was conducted concerning local knowledge and uses of tree species in a same territory, depending on different kind of stakeholders. Qualitative surveys have been carried out to identify farmer's perceptions of tree functions and corresponding functional traits. The results show that most of woody species have a significant multifunctionality. Only few species are unifunctional. The most multifunctional species cover all types of production and service functions but not all the uses, particularly for medicinal uses. Some specific uses are fulfilled by only one species. Correspondence analysis with tree functions data show the possibility of grouping species in relevant functional groups. Socio?economic analyses emphasize the fact that a same species does not fulfill the same functions depending on user groups (cultivators, livestock farmers, women, etc.) and depending on agri?environmental and socio?economical contexts (activities, knowledge, means and practices). The surveys reveal common perceptions between farmers of certain functional traits linked to strategic functions, and specific knowledge depending on farmer activities. But data on functional traits were tricky to analyze because of their sparse character and a number of interviews too low. Nevertheless, comparisons between traits quoted by farmers and some functional traits known in scientific literature will be helpful in the aim of trying to build functional groups of tree species. Finally, it seems that each user group seeks for satisfying a given need (maintain of soil fertility in cropped fields, fodder, fruits, fences, timber, firewood, medicines, etc.) by targeting a group of species among available woody species, on the base of functional traits as they discern them, and by mobilizing their knowledge and their means. It means that scientific databases composed of lists of functions and traits for a given species have low generic value and must be valued depending on the context. The notion of functional group gathering substitutable species for a same function takes thus all sense. These results aimed to emphasize the functions and specific uses of tree species that must be taken into account in perspective of improving the management of agroforestry systems. (Texte intégral
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Linking Aboveground Traits to Root Traits and Local Environment: Implications of the Plant Economics Spectrum.
The plant economics spectrum proposes that ecological traits are functionally coordinated and adapt along environmental gradients. However, empirical evidence is mixed about whether aboveground and root traits are consistently linked and which environmental factors drive functional responses. Here we measure the strength of relationships between aboveground and root traits, and examine whether community-weighted mean trait values are adapted along gradients of light and soil fertility, based on the seedling censuses of 57 species in a subtropical forest. We found that aboveground traits were good predictors of root traits; specific leaf area, dry matter, nitrogen and phosphorus content were strongly correlated with root tissue density and specific root length. Traits showed patterns of adaptation along the gradients of soil fertility and light; species with fast resource-acquisitive strategies were more strongly associated with high soil phosphorus, potassium, openness, and with low nitrogen, organic matter conditions. This demonstrates the potential to estimate belowground traits from known aboveground traits in seedling communities, and suggests that soil fertility is one of the main factors driving functional responses. Our results extend our understanding of how ecological strategies shape potential responses of plant communities to environmental change
Plant structural complexity and mechanical defenses mediate predator-prey interactions in an odonate-bird system.
Habitat-forming species provide refuges for a variety of associating species; these refuges may mediate interactions between species differently depending on the functional traits of the habitat-forming species. We investigated refuge provisioning by plants with different functional traits for dragonfly and damselfly (Odonata: Anisoptera and Zygoptera) nymphs emerging from water bodies to molt into their adult stage. During this period, nymphs experience high levels of predation by birds. On the shores of a small pond, plants with mechanical defenses (e.g., thorns and prickles) and high structural complexity had higher abundances of odonate exuviae than nearby plants which lacked mechanical defenses and exhibited low structural complexity. To disentangle the relative effects of these two potentially important functional traits on nymph emergence-site preference and survival, we conducted two fully crossed factorial field experiments using artificial plants. Nymphs showed a strong preference for artificial plants with high structural complexity and to a lesser extent, mechanical defenses. Both functional traits increased nymph survival but through different mechanisms. We suggest that future investigations attempt to experimentally separate the elements contributing to structural complexity to elucidate the mechanistic underpinnings of refuge provisioning
Climate change may have minor impact on zooplankton functional diversity in the Mediterranean Sea
Aim
To assess the impact of climate change on the functional diversity of marine zooplankton communities.
Location
The Mediterranean Sea.
Methods
We used the functional traits and geographic distributions of 106 copepod species to estimate the zooplankton functional diversity of Mediterranean surface assemblages for the 1965–1994 and 2069–2098 periods. Multiple environmental niche models were trained at the global scale to project the species habitat suitability in the Mediterranean Sea and assess their sensitivity to climate change predicted by several scenarios. Simultaneously, the species traits were used to compute a functional dendrogram from which we identified seven functional groups and estimated functional diversity through Faith's index. We compared the measured functional diversity to the one originated from null models to test if changes in functional diversity were solely driven by changes in species richness.
Results
All but three of the 106 species presented range contractions of varying intensity. A relatively low decrease of species richness (−7.42 on average) is predicted for 97% of the basin, with higher losses in the eastern regions. Relative sensitivity to climate change is not clustered in functional space and does not significantly vary across the seven copepod functional groups defined. Changes in functional diversity follow the same pattern and are not different from those that can be expected from changes in richness alone.
Main conclusions
Climate change is not expected to alter copepod functional traits distribution in the Mediterranean Sea, as the most and the least sensitive species are functionally redundant. Such redundancy should buffer the loss of ecosystem functions in Mediterranean zooplankton assemblages induced by climate change. Because the most negatively impacted species are affiliated to temperate regimes and share Atlantic biogeographic origins, our results are in line with the hypothesis of increasingly more tropical Mediterranean communities
Functional Mapping of Multiple Dynamic Traits
Many biological phenomena undergo developmental changes in time and space.
Functional mapping, which is aimed at mapping genes that affect developmental
patterns, is instrumental for studying the genetic architecture of biological
changes. Often biological processes are mediated by a network of developmental
and physiological components and, therefore, are better described by multiple
phenotypes. In this article, we develop a multivariate model for functional
mapping that can detect and characterize quantitative trait loci (QTLs) that
simultaneously control multiple dynamic traits. Because the true genotypes of
QTLs are unknown, the measurements for the multiple dynamic traits are modeled
using a mixture distribution. The functional means of the multiple dynamic
traits are estimated using the nonparametric regression method, which avoids
any parametric assumption on the functional means. We propose the profile
likelihood method to estimate the mixture model. A likelihood ratio test is
exploited to test for the existence of pleiotropic effects on distinct but
developmentally correlated traits. A simulation study is implemented to
illustrate the finite sample performance of our proposed method. We also
demonstrate our method by identifying QTLs that simultaneously control three
dynamic traits of soybeans. The three dynamic traits are the time-course
biomass of the leaf, the stem, and the root of the whole soybean. The genetic
linkage map is constructed with 950 microsatellite markers. The new model can
aid in our comprehension of the genetic control mechanisms of complex dynamic
traits over time
Mapping functional traits: comparing abundance and presence-absence estimates at large spatial scales
Efforts to quantify the composition of biological communities increasingly focus on functional traits. The composition of communities in terms of traits can be summarized in several ways. Ecologists are beginning to map the geographic distribution of trait-based metrics from various sources of data, but the maps have not been tested against independent data. Using data for birds of the Western Hemisphere, we test for the first time the most commonly used method for mapping community trait composition – overlaying range maps, which assumes that the local abundance of a given species is unrelated to the traits in question – and three new methods that as well as the range maps include varying degrees of information about interspecific and geographic variation in abundance. For each method, and for four traits (body mass, generation length, migratory behaviour, diet) we calculated community-weighted mean of trait values, functional richness and functional divergence. The maps based on species ranges and limited abundance data were compared with independent data on community species composition from the American Christmas Bird Count (CBC) scheme coupled with data on traits. The correspondence with observed community composition at the CBC sites was mostly positive (62/73 correlations) but varied widely depending on the metric of community composition and method used (R2: 5.6×10−7 to 0.82, with a median of 0.12). Importantly, the commonly-used range-overlap method resulted in the best fit (21/22 correlations positive; R2: 0.004 to 0.8, with a median of 0.33). Given the paucity of data on the local abundance of species, overlaying range maps appears to be the best available method for estimating patterns of community composition, but the poor fit for some metrics suggests that local abundance data are urgently needed to allow more accurate estimates of the composition of communities
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