Additional file 1: Table S1. of Adaptive evolution of seed oil content in angiosperms: accounting for the global patterns of seed oils

Species seed oil content across families. (DOCX 19 kb

data_Derroire_et_al_2016_Oikos

The provided data give the values of diversity and similarity indices for trees and shrubs, the successional age of the plot and values for environmental factors for 829 plots of 13 chronosequences in successional tropical dry forests used in the meta-analyses presented in the paper

MOESM1 of Biotic and abiotic drivers of intraspecific trait variation within plant populations of three herbaceous plant species along a latitudinal gradient

Additional file 1. Overview of the selected functional traits for the functional diversity analysis. Description, scale, percentage of available data for all species and main data sources are given for each trait

Les drames de l'adultère ou Le mari de Marguerite : roman parisien / par Xavier de Montépin

Contient une table des matièresAvec mode text

Additional file 3: Text 1. of Habitat properties are key drivers of Borrelia burgdorferi (s.l.) prevalence in Ixodes ricinus populations of deciduous forest fragments

Methods: technical details. (DOCX 16 kb

Additional file 4: Text 2. of Habitat properties are key drivers of Borrelia burgdorferi (s.l.) prevalence in Ixodes ricinus populations of deciduous forest fragments

Details on how correlation factors were derived and what the name components of the internal variables mean. (DOCX 15 kb

Additional file 11: Figure S3. of Habitat properties are key drivers of Borrelia burgdorferi (s.l.) prevalence in Ixodes ricinus populations of deciduous forest fragments

Response profiles of infection prevalence for each significant driver. Shown are the prediction line, confidence band (alpha = 0.05) and the partial residuals. The driver groups are macroclimate, landscape, macrohabitat, microhabitat and ontogeny. η2 values represent the relative contribution each variable has in explaining variation in the response. Adult infection prevalence. (FA) = variable is a correlation factor, ‘abund.’ = abundance, ‘disp.’ = dispersules, ‘SLA’ = specific leaf area, ‘tree2’ = lower tree layer. (PDF 254 kb

Additional file 7: Figure S1. of Habitat properties are key drivers of Borrelia burgdorferi (s.l.) prevalence in Ixodes ricinus populations of deciduous forest fragments

Flow chart of the overall data processing procedure. (PDF 46 kb

Additional file 5: Table S6. of Habitat properties are key drivers of Borrelia burgdorferi (s.l.) prevalence in Ixodes ricinus populations of deciduous forest fragments

Loadings of all correlation factors. (XLSX 16 kb

DataSheet_1_Metabarcoding of soil environmental DNA to estimate plant diversity globally.pdf

IntroductionTraditional approaches to collecting large-scale biodiversity data pose huge logistical and technical challenges. We aimed to assess how a comparatively simple method based on sequencing environmental DNA (eDNA) characterises global variation in plant diversity and community composition compared with data derived from traditional plant inventory methods.MethodsWe sequenced a short fragment (P6 loop) of the chloroplast trnL intron from from 325 globally distributed soil samples and compared estimates of diversity and composition with those derived from traditional sources based on empirical (GBIF) or extrapolated plant distribution and diversity data.ResultsLarge-scale plant diversity and community composition patterns revealed by sequencing eDNA were broadly in accordance with those derived from traditional sources. The success of the eDNA taxonomy assignment, and the overlap of taxon lists between eDNA and GBIF, was greatest at moderate to high latitudes of the northern hemisphere. On average, around half (mean: 51.5% SD 17.6) of local GBIF records were represented in eDNA databases at the species level, depending on the geographic region.DiscussioneDNA trnL gene sequencing data accurately represent global patterns in plant diversity and composition and thus can provide a basis for large-scale vegetation studies. Important experimental considerations for plant eDNA studies include using a sampling volume and design to maximise the number of taxa detected and optimising the sequencing depth. However, increasing the coverage of reference sequence databases would yield the most significant improvements in the accuracy of taxonomic assignments made using the P6 loop of the trnL region.</p