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Nutrient availability for tundra vegetation could change drastically due to increasing temperatures and frequency of nitrogen deposition in the Arctic. Few studies have simultaneously examined the response of plant communities to these two pressures over a long period. This study aims to assess which driver between increasing nitrogen (N) and phosp...
Anthropogenic changes can have dramatic effects on wild populations. Moreover, by promoting the emergence of vector-borne diseases in many ecosystems, those changes can lead to local extinction of native wildlife. One of those diseases, avian malaria, has been shown to be on the rise in New Zealand, threatening native bird species that are among th...
The functional traits of organisms within multispecies assemblages regulate biodiversity effects on ecosystem functioning. Yet how traits should assemble to boost multiple ecosystem functions simultaneously (multifunctionality) remains poorly explored. In a multibiome litter experiment covering most of the global variation in leaf trait spectra, we...
Geese can profoundly affect arctic ecosystems directly (e.g., by grazing vegetation) and indirectly (e.g. by changing nutrient cycling resulting from faces inputs and by reducing plant litter). In the Arctic, behavior and abundance of geese have changed due to climate and land-use change. While the short-term effects of increased goose populations...
The way species avoid each other in a community by using resources differently across space and time is one of the main drivers of species coexistence in nature1,2. This mechanism, known as niche differentiation, has been widely examined theoretically but still lacks thorough experimental validation in plants. To shape niche differences over time,...
Explaining the existence of highly diverse plant communities under strong abiotic filtering is a long-standing challenge in ecology. Hierarchical aspects of abiotic and biotic filters are rarely taken into account and studies focus mainly on community-level aggregated patterns. Because variations in biotic conditions might take place in short abiot...
Neonicotinoids (NEOCs) are insecticides that are widely used worldwide in the culture of maize and soya. Whereas they specifically target terrestrial insects by acting as agonists of the neurotransmitter acetylcholine in their nervous system, their effects on the cholinergic system of vertebrates is still unclear. Moreover, there is an increasing c...
This paper describes simply the principles behind latent factor models and proposes an efficient formulation implemented in the Hamiltonian Monte Carlo software stan to reveal latent variables structuring community matrix. We considered abundances as following a poisson distribution, but this code can be modified to work with any distribution of in...
Wetland ecosystems are changing, both in species composition and functional structure. To understand the direction and amplitude of these changes, ecologists study the dynamics of plant functional traits. This can be done by studying the dominance, or central tendency, of plant functional traits along a gradient of environmental conditions. However...
We will measure chlorophyll content of a great number of plants in field, with a dualex. We will also collect leaves to measure other physical traits.
I would store some of them to quantify chl content after field campaign, in the aim of calibrating dualex measures. Is there a valid way to do so?
We will describe the variations of wetland vegetation's functional structure in response to soil pH and species diversity, the latter being nested in the former. Here, species diversity is considered as a proxy of the intra-species vs. inter-species competition, while soil pH is considered as a species-filtering abiotic factor. As such, we aim to disentangle the effect of competition from the effect of environmental filtering. We predict that the mean and the variance of trait distribution will show greater response to soil pH, while the skewness and kurtosis will capture the residual effect of species diversity. The originality of our approach comes from establishing the shape of the distribution of individual's trait values, as well as considering different kind of traits : (i) slow vs fast response traits (e.g. LDMC vs. chlorophyl content); (ii) competitive ability vs niche difference traits (e.g. height vs. phenology).