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Fig. 3 in Carabid beetle (Coleoptera: Carabidae) distribution in a rural landscape based on habitat diversity and habitat characteristics

Fig. 3. Ordination plot based on correspondence analysis (CA) of the results (individual years separated) for study sites (open circles) and species (open triangles)

Fig. 5 in Carabid beetle (Coleoptera: Carabidae) distribution in a rural landscape based on habitat diversity and habitat characteristics

Fig. 5. Ordination plot based on correspondence analysis (CA) of the results (years for the study sites pooled) for study sites (open circles) and species (open triangles)

Fig. 1 in Carabid beetle (Coleoptera: Carabidae) distribution in a rural landscape based on habitat diversity and habitat characteristics

Fig. 1. Scheme of the research object "Krzywda" (a) and location of the study sites (1-6) (b) (After Bùaszkiewicz & Schwerk (2013), modified).

Fig. 4 in Carabid beetle (Coleoptera: Carabidae) distribution in a rural landscape based on habitat diversity and habitat characteristics

Fig. 4. Cluster analysis of the results (years for the study sites pooled) based on Euclidian distance as distance measure and agglomeration according to Ward. Numbers indicate the percentage of replicates where each node is still supported (Hammer 2012)

opencc-by-4.0Apr 2024View details →

Why Diversity Equity and Inclusion (DEI) strategies fail

<p>alt-text:</p> <p>Title: Many DEI strategies and plans fail because they don’t understand: First orange circle with a book inside: that most DEI talks are abstract, not concrete. Second orange circle with three gears inside: twhat systemic discrimination is. Third orange circle with two semi-circular arrows pointing anti-clockwise inside: that systemic and subtle discrimination accumulates over time. Fourth orange circle with three concentric circles overlapping like a Venn Diagram inside: what intersectionality really means. Fifth orange circle with two hands doing a handshake inside: that opportunity and sharing power are the antidotes to discrimination.</p>

opencc-by-4.0Nov 2022View details →

F I G U R E 3 A in A low-density single nucleotide polymorphism panel for brown trout (Salmo trutta L.) suitable for exploring genetic diversity at a range of spatial scales

F I G U R E 3 A priori discriminant analysis of principal components (DAPC) plot of Camel trout. Each point represents the genotype of an individual fish, with centroids for each site labelled. Discriminant function 1 (DF1) is represented by the x axis, and discriminant function 2 (DF2) by the y-axis

opencc-by-4.0Nov 2022View details →

F I G U R E 1 in A low-density single nucleotide polymorphism panel for brown trout (Salmo trutta L.) suitable for exploring genetic diversity at a range of spatial scales

F I G U R E 1 Map showing the location of rivers sampled for brown trout within the UK, France and Ireland. The left panel shows the rivers used to assess the performance of the single nucleotide polymorphisms (SNP) panel at characterising genetic parameters within and outside the target region. The top right (blue) panel shows the locations of the four sampled rivers in Mount's Bay, Cornwall (Case Study 1). The bottom right (red) panel shows the location of the sample locations in the Camel catchment (Case Study 2). The red box within the bottom right panel gives the position of the impassable De Lank quarry site

opencc-by-4.0Nov 2022View details →

F I G U R E 2 A in A low-density single nucleotide polymorphism panel for brown trout (Salmo trutta L.) suitable for exploring genetic diversity at a range of spatial scales

F I G U R E 2 A priori discriminant analysis of principal components (DAPC) of trout genotypes from rivers flowing into Mount's Bay, Cornwall. Individuals are represented by individual points, with centroids for each river labelled. Discriminant function 1 (DF1) is represented by the x axis, and discriminant function 2 (DF2) by the y-axis

FIG. 6 in Exploring the diversity of bryophytes in different forests in the eastern Amazonia

FIG. 6. — Classification of bryophyte species in different substrates in Abaetetuba, Lower Tocantins:A, substrate preference of bryophytes in Abaetetuba;B, occurrence of two species in four types of substrate; C, exclusive and shared species among substrates in environments. Abbreviations: Co, corticolous; Ep, epiphyllous; Ex, epixylic; Ru, rupicolous; Te, terricolous; Tm, termite mound.

FIG. 5. — A-D, Cololejeunea setiloba A in Exploring the diversity of bryophytes in different forests in the eastern Amazonia

FIG. 5. — A-D, Cololejeunea setiloba A.Evans (from A. K. Sousa-Pereira 608): A, sector of a stem, ventral view;B, C, leaves,ventral view; D, lobules.E-J, Leptolejeunea radicosa (Mont.) Grolle (from A. K. Sousa-Pereira 202): E, F, leaves, ventral view; G, I, underleaves; H, leaf, dorsal view; J, sector of a stem. Scale bars: A, 250 µm; B, C, E, J, 100 µm; D, F-I, 50 µm.

FIG. 4 in Exploring the diversity of bryophytes in different forests in the eastern Amazonia

FIG. 4. — Exclusive and shared species in the forests of Abaetetuba. Abbreviations: FB, Freshwater Beach; TF, Terra Firme forest; VF, Várzea forest.

FIG. 3 in Exploring the diversity of bryophytes in different forests in the eastern Amazonia

FIG. 3. — Diversity profile curves plotting the species diversity of Terra Firme (TF), Várzea (VF), and Freshwater Beach (FB) forests as a function of q-order values. Coloured dots represent Hill numbers: species richness (q = 0), Shannon diversity (q = 1), and inverse Simpson diversity (q = 2). The slope of the curve reflects the uniformity of relative species abundances (e.g. a steeper curve indicates a more uneven distribution of relative abundances).

FIG. 2 in Exploring the diversity of bryophytes in different forests in the eastern Amazonia

FIG. 2. — Types of forests and substrates of bryophytes in the municipality of Abaetetuba, Lower Tocantins: A, Terra Firme forest; B, Freshwater Beach; C, D, Várzea forest; E, bryophytes on the trunk of a living tree; F, liverwort on decaying wood; G, Radula flaccida Lindenb. & Gottsche on a leaf.

Fig. 3 in Prevalence and genetic diversity of haematozoa in South American waterfowl and evidence for intercontinental redistribution of parasites by migratory birds

Fig. 3. Bayesian phylogenetic tree of haematozoa mitochondrial DNA cytochrome b haplotypes obtained from infected waterfowl. Trees were rooted with mammalian Plasmodium outgroups. Node tips are labeled with parasite genus (Haem = Haemoproteus, Leuc = Leucocytozoon, and Plas = Plasmodium), followed by the lineage name, GenBank accession number for each sequence, host order (passerine/waterfowl), and the country/state from which the samples were collected. All haplotypes identified in this study are highlighted in red. Numbers on branches represent posterior probabilities from the analysis. Asterisks after node tip labels indicate sequences from our study that were identical to lineages previously found in non-waterfowl hosts. All reference sequences were obtained from the National Center for Biotechnology Information website.

Fig. 2. Minimum spanning network for haematozoa mitochondrial DNA cytochrome b in Prevalence and genetic diversity of haematozoa in South American waterfowl and evidence for intercontinental redistribution of parasites by migratory birds

Fig. 2. Minimum spanning network for haematozoa mitochondrial DNA cytochrome b haplotypes detected in South American waterfowl. Shaded circles represent unsampled nodes. All circles are drawn proportional to the frequency at which haplotypes were observed. Lines separating nodes are drawn to scale based on the number of nucleotide mutations, unless otherwise indicated by hash marks. Only haplotypes with a length of 358 bp or greater were included. Haplotype name abbreviations are as follows: Haem = Haemoproteus, Leuc = Leucocytozoon, and Plas = Plasmodium.

Fig. 1 in Prevalence and genetic diversity of haematozoa in South American waterfowl and evidence for intercontinental redistribution of parasites by migratory birds

Fig. 1. Map of sampling locations in Peru and Argentina. The number of waterfowl blood samples collected at each site is provided in parentheses.

Fig. 1 in (macro-) Evolutionary ecology of parasite diversity: From determinants of parasite species richness to host diversification

Fig. 1. Expression of the basic transmission rate (R0) for the case of microparasites (i.e. viruses) and macroparasites (i.e. helminths with direct transmission) (for derivations of these expressions see Morand and Deter, 2008), emphasizing the importance of two host traits, longevity and density, as likely determinants of parasite invasion and then parasite species richness. In the right panel, relationships showing that both density and longevity are in allometry with host body mass (after Brown, 1995).

Fig. 2 in (macro-) Evolutionary ecology of parasite diversity: From determinants of parasite species richness to host diversification

Fig. 2. (A) Variability of ectoparasite species richness among 113 families of mammals (20 orders) (data from Kim, 1985;see Poulin and Morand, 2004). (B) Ectoparasite species richness is related to mammal diversification. The statistical analysis follows Nunn et al. (2004), where the change in the number of descendent clades is related to the change in the number of ectoparasite species, estimated using a modified version of the independent contrast method (Agapow and Isaac, 2002), for each node of the mammal phylogeny (from Binida-Emonds et al., 2007).

opencc-by-4.0Apr 2022View details →

Fig. 1 in Diversity of intestinal protozoa and clinical signs associated in wild-caught Phoneutria nigriventer kept in captivity for the anti-arachnid serum production

Fig. 1. Phoneutria nigriventer kept in glass containers with a humidified cotton ball and a cardboard substrate.