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opencc-by-4.0Dec 2023View details →

Figure 5 in TEMPORAL PARTITIONING OF CHIRONOMIDAE EMERGENCE IN AN INSULAR, TROPICAL RAINFOREST STREAM Abstract

Figure 5. Monthly emergence of abundant Orthocladiinae taxa (>1% of total abundance). Shaded area indicates dry season.

opencc-by-4.0Nov 2024View details →

Data Related to Osorio-Forero, Foustoukos, Cardis et al., "Noradrenergic locus coeruleus activity functionally partitions NREMS to gatekeep the NREM-REM cycle"

This Zenodo Upload contains the Transparent Data Files for an updated version of the manuscript currently published in Nature Neuroscience and entitled  'Infraslow noradrenergic locus coeruleus activity fluctuations control are gatekeepers of the NREM–REM sleep cycle'   published by the authors as indicated in the author list.

Fig. 6 in Areas of endemism in Thailand: has historical partitioning between seasonally dry lowland and aseasonal moist mountain forests shaped biodiversity in Southeast Asia?

Fig. 6. Relationship between elevation and geographical range of Hybos spp. in Thailand. The number of 1° grids in which a species was recorded is plotted against the median elevation of all records. Line fitted by linear regression in PAST (r2=0.1026).

Fig. 5 in Areas of endemism in Thailand: has historical partitioning between seasonally dry lowland and aseasonal moist mountain forests shaped biodiversity in Southeast Asia?

Fig. 5. EZPAE down-weighted against homoplasy, using altitudinally zoned mountain ranges as OGU, 'characters' made additive. Strict consensus tree of two equally parsimonious trees (CI = 0.716, RI = 0.534) produced by maximum parsimony analysis with weighted 'characters' and TBR branch swapping in TNT. Symmetrical resampling support is given under the nodes. Alphabetic codes of termini correspond with mountain ranges as abbreviated in Fig. 3; the suffixes 'low' & 'high' refer to low (<1,250m) and high (>1,250m) elevation sample data.

Fig. 4 in Areas of endemism in Thailand: has historical partitioning between seasonally dry lowland and aseasonal moist mountain forests shaped biodiversity in Southeast Asia?

Fig. 4. EZPAE down-weighted against homoplasy, using altitudinally zoned mountain ranges as OGU, 'characters' made non-additive. Strict consensus tree of four equally parsimonious trees (CI = 0.674, 0.580) produced by maximum parsimony analysis with weighted 'characters' and TBR branch swapping in TNT. Symmetrical resampling support is given under the nodes. Alphabetic codes of termini correspond with mountain ranges as abbreviated in Fig. 3; the suffixes 'low' & 'high' refer to low (<1,250m) and high (>1,250m) sample data.

Fig. 2. PAE using 1 in Areas of endemism in Thailand: has historical partitioning between seasonally dry lowland and aseasonal moist mountain forests shaped biodiversity in Southeast Asia?

Fig. 2. PAE using 1° grids as OGU. Strict consensus tree of 760 equally parsimonious trees (CI = 0.501, RI = 0.557) produced by maximum parsimony analysis with unweighted 'characters' and TBR branch swapping in TNT. Symmetrical resampling support is given under the nodes (see Fig 1A for explanation of alphabetic codes).

Fig. 3 in Areas of endemism in Thailand: has historical partitioning between seasonally dry lowland and aseasonal moist mountain forests shaped biodiversity in Southeast Asia?

Fig. 3. PAE using mountain ranges as OGU. Strict consensus tree of nine equally parsimonious trees (CI = 0.745, RI = 0.722) produced by maximum parsimony analysis with weighted 'characters' and implicit enumeration in TNT. Symmetrical resampling support is given under the nodes. Abbreviations. – CM, Cardamom Mountains; DK, Dong Paya Yen – Khao Yai Forest Complex; DL, Daen Lao Range; LP, Luang Prabang Range; NST, Nakhon Si Thammarat Range; PM, Petchabun Mountains; PR, Phuket Range; PPR, Phu Pan Range; TH, Tenasserim Hills; TT, Thanon Thongchai Range. Grid-B and Grid-L refer to 1° grids (B and L in Fig. 1A) that were not assigned to any mountain range.

Fig. 1 in Areas of endemism in Thailand: has historical partitioning between seasonally dry lowland and aseasonal moist mountain forests shaped biodiversity in Southeast Asia?

Fig. 1. Maps of Thailand showing: A, Grid of 1° of latitude and longitude denoted by single-letters A–W. Mountain ranges are indicated by two- or three letter codes (CD, DK, DL, LP, NST, PM, PPR, PR, TH & TT) and the grids that comprise each range are colour-coded. Grids B and L were not assigned to any mountain range; B, Species richness (number of species) of Hybos present in 1° grids; C, reciprocal weighted endemicity of Hybos spp. calculated for 1° grids.

Fig. 2 in Niche partitioning between juvenile sympatric crocodilians in Mesangat Lake, East Kalimantan, Indonesia

Fig. 2. Boxplots of the distance to the nearest tree, floating grass mat, and invasive floating plants Eicchornia crassipes and Salvinia cucullata in the two main habitat types in Mesangat wetland: the open areas and the flooded forest. The habitats differ significantly in median distance from a transect line point to the nearest tree (W = 5807.5, nopen = 109, nforest = 56, P <0.001). Floating grass mats are present predominantly in the open areas where median distance from the transect to the nearest grass mat was significantly smaller than in flooded forest (W = 697, nopen = 108, nforest = 39, P <0.001). The invasive plant species, E. crassipes and S. cucullata, were found in both habitats. Median distances from transect points to the nearest exotic plant did not differ significantly between the flooded forest and open areas (E. crassipes: W = 186.5, nopen = 22, nforest = 24, P = 0.089; S. cucullata: W = 801, nopen = 48, nforest = 39, P = 0.249).

Fig. 6 in Niche partitioning between juvenile sympatric crocodilians in Mesangat Lake, East Kalimantan, Indonesia

Fig. 6. Percentage of stomach content samples of C. siamensis (n = 16) and T. schlegelii (n = 26) containing different prey items: birds, fish, amphibians, invertebrates, plants, reptiles and mammals.

Fig. 1 in Niche partitioning between juvenile sympatric crocodilians in Mesangat Lake, East Kalimantan, Indonesia

Fig. 1. Wild juvenile Crocodylus siamensis (A) and Tomistoma schlegelii (B) captured in Mesangat Lake.

Fig. 5 in Niche partitioning between juvenile sympatric crocodilians in Mesangat Lake, East Kalimantan, Indonesia

Fig. 5. Sightings of C. siamensis (n = 71) and T. schlegelii (n = 101) belonging to different estimated size classes, spotted in Mesangat Lake during different seasons: dry (2011), transitional (2012) and wet (2010).

Fig. 4 in Niche partitioning between juvenile sympatric crocodilians in Mesangat Lake, East Kalimantan, Indonesia

Fig. 4. Boxplots of the distance to the nearest tree and the nearest floating grass mat of T. schlegelii (n = 28) and C. siamensis (n = 33) spotted and/or captured in Mesangat wetland in May–June 2012. All C. siamensis and 7% of T. schlegelii sightings occurred in open areas with floating grass mats. Tomistoma schlegelii was found at significantly larger median distances from grass mats than C. siamensis (W = 823, n1 = 28, n2 = 33, P <0.001) and significantly closer to the nearest tree (W = 129.5, n1 = 28, n2 = 33, P <0.001).

Fig.3 in Niche partitioning between juvenile sympatric crocodilians in Mesangat Lake, East Kalimantan, Indonesia

Fig.3. Locations of C. siamensis and T. schlegelii spotted in Mesangat Lake habitats in the three seasons: wet (2010), dry (2011) and transitional (2012). Data on C. siamensis distribution in 2010 and 2011 refer to Behler et al. (2018). Base map: ArcMap Bing Aerial.

opencc-by-4.0Dec 2010View details →

Fig. 3 in Habitat partitioning, habits and convergence among coastal nektonic fish species from the São Sebastião Channel, southeastern Brazil

Fig. 3. Dendrogram of ecomorphological relationships (similarity) for the 17 nektonic fish species studied. Cluster analysis is by the Euclidean distance measure and Group Average linkage method using the same scores (i.e., coordinates) calculated for PCA and plotted in Fig. 2 (cophenetic coefficient r = 0.86). Anc tri = Anchoa tricolor; Ath bra = Atherinella brasiliensis; Car lat = Caranx latus; Chl chr = Chloroscombrus chrysurus; Fis tab = Fistularia tabacaria; Har jag = Harengula jaguana; Hyp uni = Hyporhamphus unifasciatus; Lag lae = Lagocephalus laevigatus; Mug cur = Mugil curema; Oli sau = Oligoplites saurus; Pom sal = Pomatomus saltatrix; Sar jan = Sardinella janeiro; Sco bra = Scomberomorus brasiliensis; Sel vom = Selene vomer; Str tim = Strongylura timucu; Tra car = Trachinotus carolinus; Tri lep = Trichiurus lepturus. There is no scale among the fishes (see Table 2 for standard length range) (illustrations: Alexandre C. Ribeiro).

opencc-by-4.0Dec 2010View details →

Fig. 2 in Habitat partitioning, habits and convergence among coastal nektonic fish species from the São Sebastião Channel, southeastern Brazil

Fig. 2. Distribution of the 17 nektonic fish species in ecomorphological space. Ordination is by the first two axes of PCA (cumulative % of variance = 73) (see Table 5). Anc tri = Anchoa tricolor; Ath bra = Atherinella brasiliensis; Car lat = Caranx latus; Chl chr = Chloroscombrus chrysurus; Fis tab = Fistularia tabacaria; Har jag = Harengula jaguana; Hyp uni = Hyporhamphus unifasciatus; Lag lae = Lagocephalus laevigatus; Mug cur = Mugil curema; Oli sau = Oligoplites saurus; Pom sal = Pomatomus saltatrix; Sar jan = Sardinella janeiro; Sco bra = Scomberomorus brasiliensis; Sel vom = Selene vomer; Str tim = Strongylura timucu; Tra car = Trachinotus carolinus; Tri lep = Trichiurus lepturus. There is no scale among the fishes (see Table 2 for standard length range) (illustrations: Alexandre C. Ribeiro).

opencc-by-4.0Dec 2010View details →

Fig. 1 in Habitat partitioning, habits and convergence among coastal nektonic fish species from the São Sebastião Channel, southeastern Brazil

Fig. 1. Map indicating the location of the study area (São Sebastião Channel) and the marine station of the University of São Paulo (CEBIMar-USP) on the coast of São Paulo, southeastern Brazil.

opencc-by-4.0Jun 2004View details →

Fig. 2 in Food resource partitioning in a fish community of the central Amazon floodplain

Fig. 2. Relative importance of food categories in supporting the community's biomass of fish species inhabiting a floodplain lake (lago do Rei) in Central Amazonia in the two seasons.

opencc-by-4.0Jun 2004View details →

Fig. 3 in Food resource partitioning in a fish community of the central Amazon floodplain

Fig. 3. Distribution of overlaps values between diets of fish species inhabiting a floodplain lake (lago do Rei) in Central Amazonia. a: whole community all seasons (74 species); b: generalist species all seasons (27 species); and c: seasonal differences (23 species).