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403 results for “microhabitat”
Fig. 2 in Fish assemblage of the Mamanguape Environmental Protection Area, NE Brazil: abundance, composition and microhabitat availability along the mangrove-reef gradient
Fig. 2. Ontogenetic patterns of habitat use in Abudefduf saxatilis, Anisotremus surinamensis, Lutjanus alexandrei, and L. jocu along the sub-areas of Mamanguape Mangrove-Reef system, NE Brazil, showing an increase in individual size classes from the Estuarine to the Reef zone. Mann Whitney U Test showed significant size differences between all sub-areas (for A. saxatilis, Transition vs. Reefs: U = 491, Z = -6.02, p = 0.00; for A. surinamensis, Transition vs. Reefs: U = 1338, Z = -6.83, p = 0.00; for L. alexandrei, Peixe-Boi vs. Transition: U = 0.00, Z = -3.39, p = 0.00; and Tanques vs. Transition: U = 0.00, Z = -2.92, p = 0.00; for L. jocu, Peixe-Boi vs. Transition: U = 7.5, Z = -3.38, p = 0.00), except between Tanques and Peixe-Boi for L. alexandrei (U = 65, Z = 0.76, p = 0.46).
Fig. 3 in Fish assemblage of the Mamanguape Environmental Protection Area, NE Brazil: abundance, composition and microhabitat availability along the mangrove-reef gradient
Fig. 3. Canonical Correspondence Analysis of fishes and environmental parameters from Mamanguape Mangrove-Reef system, NE Brazil: (a) fish species (symbols) in relation to microhabitat categories (vectors) - Eigenvalues: axis 1, 0.56; axis 2, 0,20; r species-environment: axis 1, 0.87; axis 2, 0.56; First two axes accounted for 64.9 % of the variance; (b) fish trophic groups and subareas (symbols) in relation to environmental categories (vectors) - Eigenvalues: axis 1, 0.49; axis 2, 0.39; r species-environment: axis 1, 0.79; axis 2, 0.76; First two axes accounted for 51.6 % of the variance. Monte-Carlo test of all canonical axes were significant (p <0.01), 999 permutations. Abbreviations as follows - fish species: Abusax: Abudefduf saxatilis; Acabah: Acanthurus bahianus; Acacoe: A. coeruleus; Achlin: Achirus lineatus; Anisur: Anisotremus surinamensis; Anivir: A. virginicus; Batsop: Bathygobius soporator; Centrop: Centropomus sp.; Cithspil - Citharichthys spilopterus; Corglau - Coryphopterus glaucofraenum; Dactvol - Dactylopterus volitans; Echnau: Echeneis naucrates; Epiadc: Epinephelus adscensionis; Eucmel: Eucinostomus melanopterus; Haepar: Haemulon parra; Hipprei: Hippocampus reidi; Lutana: Lutjanus analis; Lutale: L. alexandrei; Lutjoc: L. jocu; Micrbra: Microphis brachyurus; Myroce: Myrichthys ocellatus; Rypran: Rypticus randalli; Scarus: Scarus sp.; Sparis: Sparisoma sp.; Sphtes: Sphoeroides testudineus; Stefus: Stegastes fuscus; Stevar: S. variabilis; trophic groups: RH - Roving herbivore; TH - Territorial herbivore; OM - Omnivore; CA - Carnivore; IM - Invertivore of mobile prey.
Fig. 1 in Fish assemblage of the Mamanguape Environmental Protection Area, NE Brazil: abundance, composition and microhabitat availability along the mangrove-reef gradient
Fig. 1. Mamanguape estuary, State of Paraíba, NE Brazil, showing surveyed sub-areas: 1) Tanques; 2) Peixe-Boi; 3) Cação; 4) Transition; and 5) Reefs. Dashed areas represent sandbanks.
Data from: Annual species' experimental germination responses to light and temperature do not correspond with their microhabitat associations in the field
<p>Annual species have evolved sets of germination cues that are thought to be predictive of the post-germination environment. In naturally patchy environments, germination microsites often vary considerably in the amount of light they receive and in the diurnal temperature fluctuations they experience. However, whether species' differential germination responses to light and temperature are associated with their spatial patterns of occurrence remains largely untested.</p> <p>We surveyed species' occurrences in annual plant communities in 150 quadrats across gradients of canopy cover and litter cover. Nineteen species recorded in this survey were then included in a germination experiment that manipulated (1) Light vs. Dark (12h light or continuous dark) approximating seeds near the soil surface versus those covered by litter and (2) Cold vs. Warm temperature regimes (7/18 °C and 7/24 °C) approximating diurnal fluctuations experienced in shaded versus sun-exposed microsites, respectively.</p> <p>In the germination experiment, six species had highest germination probabilities in the Light treatment (regardless of temperature), five in <em>Cold</em> + <em>Light</em>, one in <em>Warm</em> + <em>Light</em>, two were indifferent to the treatments, and four did not germinate at all. Binomial linear mixed-effects models showed that species' maximum responses to light and temperature did not explain their spatial distributions along canopy cover and litter cover gradients, contrary to theoretical expectations of germination being a strong driver of species' occurrences.</p> <p>Despite variation in species' responses to experimental treatments, no association was found with their field microsite associations. Germination strategies in our system were wider than expected for Mediterranean systems. Our results support that germination cues are not strong drivers of microhabitat associations in this system.</p>
Tree size, microhabitat diversity and landscape structure determine the value of isolated trees for bats in farmland
<p>Isolated trees are increasingly recognised as playing a vital role in supporting biodiversity in agricultural landscapes, yet their occurrence has declined substantially in recent decades. Most bats in Europe are tree-dependent species that rely on woody elements in order to persist in farmlands. However, isolated trees are rarely considered in conservation programs and landscape planning. Further investigations are therefore urgently required to identify which trees – based on both their intrinsic characteristics and their location in the landscape – are particularly important for bats. We acoustically surveyed 57 isolated trees for bats to determine the relative and interactive effects of size, tree-related microhabitat (TreM) diversity and surrounding landscape context on bat activity. Tall trees with large diameter at breast height and crown area positively influenced the activity of <em>Pipistrellus pipistrellus</em> and small Myotis bats (<em>Myotis</em> spp.) while smaller and thinner trees favoured <em>M. myotis</em> activity. The diversity of TreMs that can be used as roosts had a positive effect on (i) <em>Barbastella barbastellus</em> activity only when trees were relatively close (10% within 100 radius scale). The potential benefits of isolated trees for bats result from ecological mechanisms operating at both tree and landscape scales, underlining the crucial need for implementing a multi-scale approach in conservation programs. Maintaining the largest and most TreM-diversified trees located in the most heterogeneous agricultural landscapes will provide the greatest benefits.</p>
JPG images from the publication "Corncob structures in dental plaque reveal microhabitat taxon specificity"
<p>Images of bacteria in human dental plaque after fluorescence in situ hybridization, hyperspectral imaging with a Zeiss LSM 780 or LSM 880 laser-scanning confocal microscope, and spectral unmixing. Each image is presented as a color JPG. Cells hybridizing with the probe for <em>Streptococcus cristatus</em> are shown in cyan; cells hybridizing with the probe for <em>Streptococcus mitis, S. oralis, </em>and <em>S. infantis </em>are shown in red; cells of genus <em>Corynebacterium</em> are shown in magenta; cells of genera <em>Haemophilus </em>and <em>Aggregatibacter </em>are shown in yellow; and cells of genus <em>Porphyromonas</em> are shown in blue.</p> <p>Images labeled as "set 1" (probe set 1) include all probes; "set 2" (probe set 2) and "set 3" (probe set 3) include only probes for <em>S. cristatus</em>, the <em>S. mitis</em> group, the <em>Streptococcus </em>genus, <em>Corynebacterium</em> genus, and <em>Porphyromonas</em> genus. </p>
TIFF images from the publication "Corncob structures in dental plaque reveal microhabitat taxon specificity"
<p>Images of bacteria in human dental plaque after fluorescence in situ hybridization, hyperspectral imaging with a Zeiss LSM 780 or LSM 880 laser-scanning confocal microscope, and spectral unmixing. Each image is presented as a TIFF file. Cells hybridizing with the probe for <em>Streptococcus cristatus</em> are shown in cyan; cells hybridizing with the probe for <em>Streptococcus mitis, S. oralis, </em>and <em>S. infantis </em>are shown in red; cells of genus <em>Corynebacterium</em> are shown in magenta; cells of genera <em>Haemophilus </em>and <em>Aggregatibacter </em>are shown in yellow; and cells of genus <em>Porphyromonas</em> are shown in blue.</p> <p>Images labeled as "set 1" (probe set 1) include all probes; "set 2" (probe set 2) and "set 3" (probe set 3) include only probes for <em>S. cristatus</em>, the <em>S. mitis</em> group, the <em>Streptococcus </em>genus, <em>Corynebacterium</em> genus, and <em>Porphyromonas</em> genus. </p>
Unmixed images from the publication "Corncob structures in dental plaque reveal microhabitat taxon specificity"
<p>Images of bacteria in human dental plaque after fluorescence in situ hybridization, hyperspectral imaging with a Zeiss LSM 780 or LSM 880 laser-scanning confocal microscope, and spectral unmixing. Each image is presented as a stack of the individual unmixed fluorophore channels readable using FIJI (ImageJ) with the Image5D plugin. Channels are shown for <em>Streptococcus cristatus</em>; the <em>Streptococcus mitis </em>group including <em>S. oralis </em>and <em>S. infantis</em>; <em>Streptococcus gordonii</em>; <em>Streptococcus </em>genus; <em>Corynebacterium </em>genus; <em>Corynebacterium matruchotii</em>; <em>Porphyromonas </em>genus; and family Pasteurellaceae including genera <em>Haemophilus </em>and <em>Aggregatibacter</em>. A channel for the residual signal after linear unmixing is also included, as well as a transmitted light image (transmitted PMT). </p> <p>Images labeled as "set 1" (probe set 1) include all probes; "set 2" (probe set 2) and "set 3" (probe set 3) include only probes for <em>S. cristatus</em>, the <em>S. mitis</em> group, the <em>Streptococcus </em>genus, <em>Corynebacterium</em> genus, and <em>Porphyromonas</em> genus. </p>
Variable species establishment in response to microhabitat indicates different likelihoods of climate-driven range shifts
<p>Climate change is causing geographic range shifts globally, and understanding the factors that influence species' range expansions is crucial for predicting future biodiversity changes. A common, yet untested, assumption in forecasting approaches is that species will shift beyond current range edges into new habitats as they become macroclimatically suitable, even though microhabitat variability could have overriding effects on local population dynamics. We aim to better understand the role of microhabitat in range shifts in plants through its impacts on establishment by Q1) examining microhabitat variability along large macroclimatic (i.e., elevational) gradients, Q2) testing which of these microhabitat variables explain plant recruitment and seedling survival, and Q3) predicting microhabitat suitability beyond species range limits. We transplanted seeds of 25 common tree, shrub, forb, and graminoid species across and beyond their current elevational ranges in the Washington Cascade Range, USA, along a large elevational gradient spanning a broad range of macroclimates. Over five years, we recorded recruitment, survival, and microhabitat (i.e., high resolution soil, air, and light) characteristics rarely measured in biogeographic studies. We asked whether microhabitat variables correlate with elevation, which variables drive species establishment, and whether microhabitat variables important for establishment are already suitable beyond leading range limits. We found that only 30% of microhabitat parameters covaried with elevation. We further observed extremely low recruitment and moderate seedling survival, and these were generally only weakly explained by microhabitat. Moreover, species and life stages responded in contrasting ways to soil biota, soil moisture, temperature, and snow duration. Microhabitat suitability predictions suggest that distribution shifts are likely to be species-specific, as different species have different suitability and availability of microhabitat beyond their present ranges, thus calling into question low-resolution macroclimatic projections that will miss such complexities. We encourage further research on species responses to microhabitat and including microhabitat in range shift forecasts.</p>
Fig. 2 in Microhabitat Preference And Relationships B E T W E E N M E Ta Z O A N Pa R A S I T E S O N T H E G I L L A P Pa R At U S O F T H E E U R O P E A N E E L (A N G U I L L A Anguilla) From Freshwaters Of Latvia
Fig. 2. The metazoan parasite prevalence in different gill area of European eel Anguilla anguilla from freshwater bodies of Latvia. A – Pseudodactylogyrus bini; B – Pseudodactylogyrus anguillae; C – Ergasilus sieboldi; D – Anodonta sp.
FIGURE 2 in Diet of Dendropsophus microcephalus and Scarthyla vigilans (Anura: Hylidae) at a locality in north-western Venezuela with notes on microhabitat occupation
FIGURE 2: Vertical distribution of individuals of Dendropsophus microcephalus and Scarthyla vigilans on emergent plants.
Fig. 1 in Temperature-based activity estimation accurately predicts surface activity, but not microhabitat use, in the Endangered heliothermic lizard Gambelia sila
Fig. 1. Methodology used to predict morning emergence time of Gambelia sila. Emergence was predicted as the time of day immediately preceding a distinct upward slope in the lizard's T b (triangles and dotted line) based on the assumption that it would take several minutes for the radio transmitter to heat in the sun. The rising Tb was also typically associated with the departure from the burrow physical model temperatures (diamonds and long-dashed line) and the approach of the open (sun) physical model temperatures (squares and short-dashed line). In each case, the predicted time was then compared to the observed emergence time when the lizard's head first appeared outside its burrow. The average difference between observed and predicted emergence times was 11 minutes and 37 seconds.
Fig. 4 in Temperature-based activity estimation accurately predicts surface activity, but not microhabitat use, in the Endangered heliothermic lizard Gambelia sila
Fig. 4. Proportions of correctly predicted observations of microhabitat use of Gambelia sila using temperature-based activity estimation based on physical model temperatures. Lizard microhabitat use was predicted correctly most often when they were in the open, but overall microhabitat use was not accurately predicted with TBAE in this heliothermic lizard.
Fig. 3 in Temperature-based activity estimation accurately predicts surface activity, but not microhabitat use, in the Endangered heliothermic lizard Gambelia sila
Fig. 3. Temperature-based activity estimation resulted in accurate prediction of above-ground activity by Gambelia sila more often than accurate prediction of below-ground (burrow) occupation. Using air temperature (T air) was superior to using physical model temperatures when predicting below-ground occupation. For both methods, ~93% of observations predicted to be above ground were correct, whereas 62% (using T air) and 51% (using physical models) were correct for below-ground predictions.
Fig. 2 in Temperature-based activity estimation accurately predicts surface activity, but not microhabitat use, in the Endangered heliothermic lizard Gambelia sila
Fig. 2. Proportions of correct predictions using air temperature to predict surface activity versus below-ground refuge use of Gambelia sila. This method resulted in accurate predictions 64–76% of the time among the various temperature differentials shown on the x-axis. Predictions were maximized (76% correct) using the criterion that lizards are above ground when their body temperatures (T b) are at least 6 °C above the air temperature (T ).
Figure 5 in Shells of the Roman snail are important microhabitats for soil invertebrates
Figure 5. Indirect signs of shell utilization with faeces of (A) Isopoda and (B) Dermaptera deposited on top of Gastropoda faeces.
Figure 1 in Microhabitats and fragmentation effects on a ground beetle community (Coleoptera: Carabidae) in a mountainous beech forest landscape
Figure 1. Jamiško Osoe study area with 3 localities (A, B, and C) and transects T1–T7 (gray color represents beech forests, black – potato fields, and white – mountain pastures and forest clearings).
Figure 2 in Microhabitats and fragmentation effects on a ground beetle community (Coleoptera: Carabidae) in a mountainous beech forest landscape
Figure 2. Variation of the average beetle abundance (ind. trap–1) between a) microhabitats, b) months, and c) fragments.
Figure 4 in Microhabitat partitioning of closely related Sarawak (Malaysian Borneo) frog species previously assigned to the genus Hylarana (Amphibia: Anura)
Figure 4. NMDS configuration showing ecological groupings from microhabitat characteristics of Sarawak frogs. Each point represents a species: Hba = Pulchrana baramica (N = 62 individuals), Hg = Pulcharana glandulosa (N = 10 individuals), Hsig = Pulcharana signata (N = 26 individuals), Hp = Pulcharana picturata (N = 27 individuals, Hra = Chalcorana raniceps (N = 112 individuals), He = Hylarana erythraea (N = 46 individuals), and Oh = Odorrana hosii (N = 21 individuals).
Figure 2 in Microhabitat partitioning of closely related Sarawak (Malaysian Borneo) frog species previously assigned to the genus Hylarana (Amphibia: Anura)
Figure 2. Dendrogram of Morisita's similarity resulting from average linkage clustering using the unweighted pair-group (UPGMA) method on data based on counts of individuals of frogs' species associated with habitats and microhabitats.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.