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298 results for “abundance distribution”
Figure 5 in Micromammalian distribution and abundance in the Western Cape Province, South Africa, as evidenced by Barn owls Tyto alba (Scopoli)
Figure 5. Distribution of Gerbillinae (A, B) and Soricidae (C–F) whose remains have been found in Tyto alba pellets from 10 or more Western Cape Province quarter-degree squares. White circles indicate dominance in squares yielding remains of at least 100 individuals.
Figure 7 in Micromammalian distribution and abundance in the Western Cape Province, South Africa, as evidenced by Barn owls Tyto alba (Scopoli)
Figure 7. Significant correlation of seasonal variation in percentage representation of Suncus varilla and Steatomys krebsii and climate variables in the De Hoop Nature Reserve (Geelbek and Bottelary). (A) Same-season rainfall and proportions of S. varilla; (B) same-season minimum monthly temperature and S. krebsii; (C) previous-season minimum monthly temperature and S. varilla. See text for further details.
Figure 3 in Micromammalian distribution and abundance in the Western Cape Province, South Africa, as evidenced by Barn owls Tyto alba (Scopoli)
Figure 3. Distribution of Murinae whose remains have been found in Tyto alba pellets from 10 or more Western Cape Province quarter-degree squares. White circles indicate dominance in squares yielding remains of at least 100 individuals.
Figure 2 in Micromammalian distribution and abundance in the Western Cape Province, South Africa, as evidenced by Barn owls Tyto alba (Scopoli)
Figure 2. Distribution of Chrysochloridae (A), Macroscelididae (B), Bathyergidae (C, D) and Vespertilionidae (E) whose remains have been found in Tyto alba pellets from 10 or more Western Cape Province quarter-degree squares. White circles indicate dominance in squares yielding remains of at least 100 individuals.
Figure 4 in Micromammalian distribution and abundance in the Western Cape Province, South Africa, as evidenced by Barn owls Tyto alba (Scopoli)
Figure 4. Distribution of Otomyinae (A–C) and Dendromurinae (D–F) whose remains have been found in Tyto alba pellets from 10 or more Western Cape Province quarter-degree squares. White circles indicate dominance in squares yielding remains of at least 100 individuals.
Figure 3 in Distribution and abundance of insects colonizing cattle dung in South West England
Figure 3. The proportion of the total number of adult Coleoptera (solid squares, solid line), adult Diptera (open circles, solid line), and larval Coleoptera (diamonds, dashed line) insects collected from pats of different ages.
Figure 2 in Distribution and abundance of insects colonizing cattle dung in South West England
Figure 2. The numbers of various taxa recovered from individual artificial cow pats placed out between May and November 2001; day 1 is 1 May. (A) Sylvicola punctata; (B) Chironimidae; (C) Polites lardaria; (D) Scatophaga stercoraria; (E) Chloromyia formosa; (F) Sargus spp.; (G) Cercyon lateralis; (H) Oxytelinae larvae.
Figure 1 in Distribution and abundance of insects colonizing cattle dung in South West England
Figure 1. The median seasonal occurrences (and inter-quartile ranges), and total number recovered for the insect taxa from artificial cow pats placed out between May and November 2001. Day 1 is 1 May.
Fig. 6 in Preliminary assessment of abundance and distribution of Dholes Cuon alpinus in Rimbang Baling and Tesso Nilo landscapes, Sumatra
Fig. 6. The land cover chart above shows the mean response of the 100 replicate Maxent runs (front) and the mean +/– one standard deviation (two shades for categorical variables). Number 5 is the forest cover variable (details of variables can be seen in Table 1).
Fig. 3 in Preliminary assessment of abundance and distribution of Dholes Cuon alpinus in Rimbang Baling and Tesso Nilo landscapes, Sumatra
Fig. 3. Activity pattern graph of dholes in each sampling block based on density estimates of the daily activity patterns by using kernel density estimation following Linkie & Ridout (2011). RB2012 is northeastern Rimbang Baling (n=41), RB2014 is northwestern Rimbang Baling (n=106), RB2015 is southern Rimbang Baling (n=18), TN2013 is Tesso Nilo (n=35), CA2012 is Bukit Bungkuk (n=70), and HL2013 is Bukit Betabuh (n=5). Black-dashed lines indicate the approximate edge of night and dusk or dawn. Red-dashed lines indicate the approximate edge of both dusk or dawn with nights and day. The solid line is the kernel density of dholes. X-axis indicates the time of individual photographs and Y-axis indicates the kernel density.
Fig. 2 in Preliminary assessment of abundance and distribution of Dholes Cuon alpinus in Rimbang Baling and Tesso Nilo landscapes, Sumatra
Fig. 2. Activity pattern graph of dholes (n=275) in all sampling blocks in Sumatra based on density estimates of the daily activity patterns by using kernel density estimation following Linkie & Ridout (2011). Black-dashed lines indicate the approximate edge of night and dusk or dawn. Red-dashed lines indicate the approximate edge of both dusk or dawn with nights and day. The solid black line is the kernel density of dholes. X-axis indicates the time of individual photographs and Y-axis indicates the kernel density.
Fig. 5 in Preliminary assessment of abundance and distribution of Dholes Cuon alpinus in Rimbang Baling and Tesso Nilo landscapes, Sumatra
Fig. 5. Map of predicted distribution model of dholes generated by MaxEnt, with median summary grids and percent contributions of variables which were 83.3% for land cover, 8.7% for road, 6.5% for river, and 1.5% for elevation.
Fig. 4 in Preliminary assessment of abundance and distribution of Dholes Cuon alpinus in Rimbang Baling and Tesso Nilo landscapes, Sumatra
Fig. 4. Curve of the receiver operating characteristic (ROC). The average test AUC for the replicate runs is 0.903 and the standard deviation is 0.025. This graph was generated by modelling in MaxEnt from 30 dhole locations with four habitat variables: land cover, road, elevation, and river. The random test percentage was 25 with 100 replicates and 1000 maximum iterations. The AUC result of the study was closer to 1 which indicates better model performance. The best AUC has an AUC of 1. The maximum AUC is therefore less than one and is smaller for wider-ranging species (Phillips et al., 2004).
Fig. 1 in Preliminary assessment of abundance and distribution of Dholes Cuon alpinus in Rimbang Baling and Tesso Nilo landscapes, Sumatra
Fig. 1. Map of sampling blocks and camera stations in Bukit Rimbang Bukit Baling Wildlife Reserve, Bukit Betabuh Protected Forest, Bukit Bungkuk Nature Reserve, and Tesso Nilo National Park.
Fig. 2 in Ecological factors that influence sambar (Rusa unicolor) distribution and abundance in western Thailand: implications for tiger conservation
Fig. 2 The distribution of elevations at which transects were placed (a). The distribution of distances from the Huai Kha Khaeng River (HKK) at which transects were placed (b). The combinations of elevation and distance to HKK River at which pellet groups were found (each dot represents a single transect) (c). The number of pellet groups found in relation to distance from the HKK River at three elevations (where dots represents transects) (d). Dots represent transects and lines represent the predicted number of pellet groups using our top-supported model (Table 2, model 1) solved at mean covariate values and one of three elevations to illustrate the interaction of elevation with distance to the HKK River.
Fig.1 in Ecological factors that influence sambar (Rusa unicolor) distribution and abundance in western Thailand: implications for tiger conservation
Fig.1 Location of Huai Khaeng Wildlife Sanctuary in western Thailand and the 360 sampling units contained within the four areas represent six female tiger home ranges.
Figure 2 in Abundance and distribution of Aculus schlechtendali on apple orchards in Southern of Brazil
Figure 2 Crossbar of the pairwise comparisons of the average number of ARM observed on three cultivars of apples. Notes: Different letters indicate a significant difference (P <0.01). Mean estimated
Figure 1 in Abundance and distribution of Aculus schlechtendali on apple orchards in Southern of Brazil
Figure 1 Location of the municipalities sampled in the states of Rio Grande do Sul (RS), Santa Catarina (SC) and Paraná (PR).
Figure 3 in Abundance and distribution of Aculus schlechtendali on apple orchards in Southern of Brazil
Figure 3 Crossbar of the pairwise comparisons of the average number of ARM observed on the three Southern Brazilian states. Notes: Different letters indicate a significant difference (P <0.01). Mean estimated via bootstrap (999 repetitions) ± standard deviation.
Figure 5 in Abundance and distribution of Aculus schlechtendali on apple orchards in Southern of Brazil
Figure 5 Correlogram. Visualization of Moran´s I as a function of distance (Km) among sampling locations. Distances with significant spatial autocorrelation whose values of Moran´s I are signifi-
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Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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