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18 results for “patterns of resource use”
Fig. 2 in Relationships between morphology, diet and spatial distribution: testing the effects of intra and interspecific morphological variations on the patterns of resource use in two Neotropical Cichlids
Fig. 2. Head of Satanoperca pappaterra (a) and Crenicichla britskii (b), showing differences in the mouth protrusion.
Fig. 6 in Activity pattern and resource use of two Callosciurus species in different habitats in northeastern Thailand
Fig. 6. Proportion of food items consumed by (a) Callosciurus finlaysonii (n = 143) and (b) C. caniceps (n = 35).
Fig. 2 in Activity pattern and resource use of two Callosciurus species in different habitats in northeastern Thailand
Fig. 2. Frequencies of detection of active (a) Callosciurus finlaysonii and (b) C. caniceps in each survey time. Data are displayed as mean ± SD. Different letters in the figure indicate a significant difference (Steel-Dwass test; P <0.05).
Fig. 1 in Activity pattern and resource use of two Callosciurus species in different habitats in northeastern Thailand
Fig. 1. Location of the study site in the headquarters (HQ) of the Sakaerat Environmental Research Station and census routes. Upper figure shows the location of Sakaerat Biosphere Reserve and the bottom figure shows an enlarged view of the HQ. Solid lines show the census route of the present study, broken lines show paved survey route of the previous study (Kobayashi et al., 2019b), broken line shows non-paved survey route of the previous study (Kobayashi et al., 2019b) in natural forests (DDF: dry dipterocarp forest in light grey; DEF: dry evergreen forest in dark grey). Dotted areas in the bottom figure are relatively open spaces with few trees, white square is the nursery, and striped squares are buildings.
Seasonal patterns of resource use within natural populations of burying beetles
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Fig. 4 in Activity pattern and resource use of two Callosciurus species in different habitats in northeastern Thailand
Fig. 4. Observed positions of (a) Callosciurus finlaysonii and (b) C. caniceps.
Fig. 5 in Activity pattern and resource use of two Callosciurus species in different habitats in northeastern Thailand
Fig. 5. Frequency of observed height range of Callosciurus finlaysonii and C. caniceps.
Data from: Network analyses support the role of prey preferences in shaping resource use patterns within five animal populations
Individual variation is an inherent aspect of animal populations and understanding the mechanisms shaping resource use patterns within populations is crucial to comprehend how individuals partition resources. Theory predicts that differences in prey preferences among consumers and/or differences in the likelihood of adding new resources to their diets are key mechanisms underlying intrapopulation variation in resource use. We developed network models based on optimal diet theory that simulate how individuals consume resources under varying scenarios of individual variation in prey preferences and in the willingness of consuming alternate resources. We then investigated how the structure of individual–resource networks generated under each model compared to the structure of observed networks representing five classical examples of individual diet variation. Our results support the notion that, for the studied populations, individual variation in prey preferences is the major factor explaining patterns in individual–resource networks. In contrast, variation in the willingness of adding prey does not seem to play an important role in shaping patterns of resource use. Individual differences in prey preferences in the studied populations may be generated by complex behavioral rules related to cognitive constraints and experience. Our approach provides a pathway for mapping foraging models into network patterns, which may allow determining the possible mechanisms leading to variation in resource use within populations.
Data from: Time-integrated habitat availability is a resource attribute that informs patterns of use in intertidal areas
In dynamic environments, resource availability may change by several orders of magnitude, over hours to months, but the duration of resource availability is not often included as a characteristic attribute of resources even though temporal resource dynamics might limit patterns of use. In our study of wading birds foraging in intertidal areas, tides cause large changes in the areal extent of shallow-water foraging habitat (i.e., the resource), but tides also constrain the duration of availability, which is often overlooked. We hypothesized that temporal constraints on habitat availability from tides would be reflected in patterns of habitat use by foraging birds. We estimated the time-integrated habitat availability and compared it to traditional habitat attributes (seagrass cover, substrate type, instantaneous water depth, and proximity to mangrove islands or deep water) that have strong evidential support for influencing patterns of use. To evaluate our hypotheses, we quantified habitat attributes at intertidal areas in the Florida Keys, U.S.A, where wading birds were observed foraging (Little Blue Heron, Egretta caerulea: N=183; Great White Heron, Ardea herodias occidentalis: N=162). We tested for non-random use by sampling habitat attributes at two spatial scales around the observed feeding locations and we analyzed the data using a conditional logistic regression model. There was no evidence that seagrass cover or substrate explained patterns of use. The proximity of foraging locations relative to mangroves and to deep water were important at both spatial scales but had lower effect sizes (odds-ratios) than time-integrated habitat availability and water depth, and the latter may only serve as a physical constraint on access. We found support that time-integrated habitat availability was a distinct resource attribute, had the greatest effect size (4-8-fold change in relative probability of use), and best explained patterns of habitat use at the largest spatial scale. In studies of resource use where changes in resource availability are non-linear or when strong constraints on access are imposed by behavior, incorporating time-integrated estimates of resource availability into analyses can improve insights into spatiotemporal patterns of resource use.
Figure 2 in Patterns of resource use by Asiatic black bear Ursus thibetanus during pre-hibernation in Kashmir Himalaya, India
Figure 2. Boxplots showing variation of black bear scat encounter rates with respect to different habitats, percent vegetation cover and distance classes.
Figure 1 in Patterns of resource use by Asiatic black bear Ursus thibetanus during pre-hibernation in Kashmir Himalaya, India
Figure 1. Location of Dachigam National Park in Jammu & Kashmir, India, and the location of sampling trails within the national park.
Figure 3 in Patterns of resource use by Asiatic black bear Ursus thibetanus during pre-hibernation in Kashmir Himalaya, India
Figure 3. Boxplot showing the frequency of occurrence of different food types recorded in the scats of Asiatic black bear in Dachigam National Park.
Data from: Network analyses support the role of prey preferences in shaping resource use patterns within five animal populations
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Data from: Time-integrated habitat availability is a resource attribute that informs patterns of use in intertidal areas
Open the record for dataset details and reuse information.
Fig. 1 in Relationships between morphology, diet and spatial distribution: testing the effects of intra and interspecific morphological variations on the patterns of resource use in two Neotropical Cichlids
Fig. 1. Dispersion of the scores of the first two PCA axes, calculated with the variance matrix of 22 ecomorphological indices. a) Scores classified by the type of environment; b) Scores classified by food resources, where: Emp = empty, Cru = crustacean, Aqu = aquatic insect, Fis = fish, Mol = mollusk, Hig = higher plant, Det = detritus. Dashed line: Crenicichla britskii; dotted line: Satanoperca pappaterra. ARA = Aspect ratio of the anal fin; ARC = Aspect ratio of the caudal fin; ARPt = Aspect ratio of the pectoral fin; ARPv = Aspect ratio of the pelvic fin; PI = Protrusion index; RAA = Relative area of the anal fin; RAD = Relative area of the dorsal fin; RAE = Relative area of the eye; RAPt = Relative area of the pectoral fin; RAPv = Relative area of the pelvic fin; RHM = Relative height of the mouth; RHPd = Relative width of the caudal peduncle; RWPd = Relative width of the caudal peduncle.
Fig. 3 in Activity pattern and resource use of two Callosciurus species in different habitats in northeastern Thailand
Fig. 3. Proportion of observed behaviours of (a) Callosciurus finlaysonii and (b) C. caniceps throughout the day.
Treatment Patterns and Key Healthcare Resource Use in Acute Myeloid Leukemia (AML) With or Without FMS-like Tyrosine Kinase-3 (FLT3) Mutation Study Based on Retrospective Chart Review
ClinicalTrials.gov study NCT03047083. IPD Sharing: NO. Countries: 1. Publications: 0.
Treatment Patterns, Outcomes and Resource Use Study for Advanced Stage Non-Small Cell Lung Cancer (Squamous and Non-squamous) in the Kingdom of Saudi Arabia and United Arab Emirates
ClinicalTrials.gov study NCT02845089. IPD Sharing: Not stated. Countries: 0. Publications: 0.
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