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99 results for “microhabitat use”
Data from: Modelling the probability of microhabitat formation on trees using cross-sectional data
1. Context: Tree-related microhabitats (TreMs), such as trunk cavities, peeled bark, cracks or sporophores of lignicolous fungi, are essential to support forest biodiversity because they are used as substrate, foraging, roosting or breeding places by bryophytes, fungi, invertebrates and vertebrates. Biodiversity conservation requires the continuous presence of TreMs in a forest. However, little is known about their dynamics. Moreover, we usually have only cross-sectional TreM data (observations of many trees at a single time), making it difficult to estimate TreM formation rates. 2. Method: This study adapted the methods of survival and reliability analysis to model the rate of TreM formation per unit of diameter increment as a function of tree diameter at breast height (DBH). We tested three variants of this model: the TreM formation rate independent of, proportional to or increasing non-linearly with DBH. We calculated the likelihood of the models, considering cross-sectional observations either of TreM presence/absence or TreM number on trees of different sizes. We calibrated the models in six sub-natural montane forests dominated by European beech (Fagus sylvatica) and silver fir (Abies alba) – in the French Pyrenees. Assuming an annual DBH increment value, the annual formation rate of TreMs was predicted both at the level of the tree and at the level of the forest stand. 3. Results: This method provided a coherent framework to model the probability that a TreM forms on a tree during a unit growth step and produces realistic predictions of TreM accumulation on trees. TreM formation accelerated as trees grew for A. alba but not for F. sylvatica. The TreM formation rate was twice as fast on F. sylvatica as on A. alba. We estimated a formation of 0.82–1.28 TreMs/ha per year and 0.5–0.9 TreM bearing trees/ha per year in the sub-natural forests studied. 4. Synthesis and applications: This method makes rigorous modelling of the formation of TreMs possible during the growth of trees and forest stands. The quantitative evaluation of TreM fluxes will help to design forest biodiversity conservation strategies favouring the development and temporal continuity of TreMs.
FIGURE 5. Left side shows a in The amphibian community at Yanayacu Biological Station, Ecuador, with a comparison of vertical microhabitat use among Pristimantis species and the description of a new species of the Pristimantis myersi group
FIGURE 5. Left side shows a power spectrum (top), sonogram (middle), and oscillogram (bottom) of a series of advertisement calls of Pristimantis bicantus (QCAZ 18983). Right side shows a sonogram (middle) and oscillogram (bottom) of a single long call (the eighth of the 11 long calls shown on the left, marked with an asterisk). This is an example of a call series consisting of three short calls (each with two pulses) and 11 long calls (each with 17–23 more rapid pulses). The power spectrum was measured along the entire duration of the call series.
FIGURE 2 in The amphibian community at Yanayacu Biological Station, Ecuador, with a comparison of vertical microhabitat use among Pristimantis species and the description of a new species of the Pristimantis myersi group
FIGURE 2. Dorsal and ventral color variation of Pristimantis bicantus in ethanol. (A, E) QCAZ 19024 (female holotype); (B) QCAZ 16186, adult female; (C) QCAZ 18988, adult female; (D, F) QCAZ 16201, adult female.
FIGURE 1 in The amphibian community at Yanayacu Biological Station, Ecuador, with a comparison of vertical microhabitat use among Pristimantis species and the description of a new species of the Pristimantis myersi group
FIGURE 1. (A) Head, (B) hand, and (C) foot of Pristimantis bicantus, holotype, adult female, QCAZ 19024.
FIGURE 3 in The amphibian community at Yanayacu Biological Station, Ecuador, with a comparison of vertical microhabitat use among Pristimantis species and the description of a new species of the Pristimantis myersi group
FIGURE 3. Map of Ecuador showing the type locality of Pristimantis bicantus (Yanayacu Biological Station, 0°36' S, 77°53' W, 2100–2300 m).
Microhabitat use, daily activity pattern and diet of Liolaemus etheridgei in the Andean Polylepis forests of Arequipa, Peru
<p class="MsoNormal"><span>This study describes the microhabitat use, daily activity pattern and diet of</span><span> </span><em><span>Liolaemus etheridgei</span></em><span> </span><span>Laurent 1998 in</span><span> the</span><span> El Simbral and Tuctumpaya</span><span> </span><em><span>Polylepis</span></em><span> </span><span>forests in Arequipa, Peru. El Simbral is a fragmented forest, whereas Tuctumpaya is unfragmented.</span><span> O</span><span>ur results reveal that</span><span> </span><em><span>L. etheridgei</span></em><span> </span><span>shows no positive selection for any of the microhabitats we identified in</span><span> </span><em><span>Polylepis</span></em><span> </span><span>forests; on the contrary, it selects negatively against</span><span> </span><em><span>Polylepis</span></em><span> </span><span>trees and non-thorny bushes. The daily activity patterns indicate a bimodal pattern with peaks at 9:00-10:59 and 13:00-13:59 h. The diet of</span><span> </span><em><span>L. etheridgei</span></em><span> </span><span>consists mainly of plant material, and the most important animal prey category is Lygaeidae: Hemiptera, which is selected</span><span> for</span><span> positively. In particular, microhabitat selection varied </span><span>for</span><span> non-thorny bushes, which were selected negatively in the Tuctumpaya population but neither positively nor negatively in the El Simbral population. According to the proportions of plant material found, the</span><span> </span><em><span>L. etheridgei</span></em><span> </span><span>from El Simbral w</span><span>ere</span><span> found to be omnivorous, whereas the Tuctumpaya population </span><span>was</span><span>herbivorous. However, </span><span>the percentage of </span><span>plant material</span><span> consumed in the El Simbral</span><span> </span><span>population was</span><span> close to the critical value for herbivory-omnivory. We conclude that the three ecological aspects</span><span> of </span><em><span>L. etheridgei</span></em><span> studied </span><span>here </span><span>are virtually identica</span><span>l</span><span> </span><span>in</span><span> El Simbral and Tuctumpaya; therefore, </span><span>this species is not </span><span>affected significantly by the </span><span>current</span><span> fragmentation</span><span> of forest</span><span>.</span></p>
Figure 6 in Ecological niche overlap of two allopatric karst-adapted tiger geckos (Goniurosaurus) from northern Vietnam: microhabitat use and implications for conservation
Figure 6. (a) Scatterplots of all variable groups on coordinates of (1) Dim1–Dim2, (2) Dim3–Dim4 axes in the multiple factor analysis (MFA); (b) the first four important variables contributing to (1) Dim1, (2) Dim2, (3) Dim3, (4) Dim4; (c) scatter diagrams illustrating ecological spaces of Goniurosaurus huuliensis and Goniurosaurus luii on coordinates of (1) Dim1–Dim2, (2) Dim3–Dim4 axes.
Figure 4 in Ecological niche overlap of two allopatric karst-adapted tiger geckos (Goniurosaurus) from northern Vietnam: microhabitat use and implications for conservation
Figure 4. Microhabitat parameters and activity of Goniurosaurus huuliensis (1) and Goniurosaurus luii (2): (a) substrate type; (b) position to cave/ crevice; (c) activity status; (d) substrate moisture.
Figure 5 in Ecological niche overlap of two allopatric karst-adapted tiger geckos (Goniurosaurus) from northern Vietnam: microhabitat use and implications for conservation
Figure 5. The number of observed individuals of Goniurosaurus huuliensis and Goniurosaurus luii at different time intervals.
Figure 3 in Ecological niche overlap of two allopatric karst-adapted tiger geckos (Goniurosaurus) from northern Vietnam: microhabitat use and implications for conservation
Figure 3. Microhabitat characters of Goniurosaurus huuliensis and Goniurosaurus luii. (a) Air temperature; (b) substrate surface temperature; (c) animal temperature; (d) relative air humidity; (e) substrate angle; (f) occupied height; (g) canopy coverage; (h) elevation.
Figure 2 in Ecological niche overlap of two allopatric karst-adapted tiger geckos (Goniurosaurus) from northern Vietnam: microhabitat use and implications for conservation
Figure 2. (a) Karst mountain inhabited by Goniurosaurus huuliensis; (b) Microhabitat of Goniurosaurus luii; (c) G. huuliensis; and (d) G. luii on rock substrate. (Photographed by Hai N. Ngo.)
Figure 1 in Ecological niche overlap of two allopatric karst-adapted tiger geckos (Goniurosaurus) from northern Vietnam: microhabitat use and implications for conservation
Figure 1. Geographic distribution of Goniurosaurus huuliensis (violet circles enclosed by a violet line) and Goniurosaurus luii (pink triangles – northern Vietnam; pink squares – southern China – enclosed by a pink line). The orange square represents the distribution of another tiger gecko species, namely Goniurosaurus araneus, in China.
Figure 7 in Ecological niche overlap of two allopatric karst-adapted tiger geckos (Goniurosaurus) from northern Vietnam: microhabitat use and implications for conservation
Figure 7. Anthropogenic impacts in natural habitats of Goniurosaurus huuliensis and Goniurosaurus luii: (a) quarrying for cement production; (b) timber logging. (Photographed by Hai N. Ngo.)
Figure S2 in Living in a cold tropical mountain: do the microhabitat use and activity pattern change with elevation in the high-Andean lizard Stenocercus trachycephalus (Squamata: Tropiduridae)?
Figure S2. Environmental temperature fluctuation throughout the day at Las Moyas.
Figure S1 in Living in a cold tropical mountain: do the microhabitat use and activity pattern change with elevation in the high-Andean lizard Stenocercus trachycephalus (Squamata: Tropiduridae)?
Figure S1. Environmental temperature fluctuation throughout the day in La Chacua.
Figure 2 in Living in a cold tropical mountain: do the microhabitat use and activity pattern change with elevation in the high-Andean lizard Stenocercus trachycephalus (Squamata: Tropiduridae)?
Figure 2. Frequency of individuals of Stenocercus trachycephalus on each microhabitat by locality.
Figure S3 in Living in a cold tropical mountain: do the microhabitat use and activity pattern change with elevation in the high-Andean lizard Stenocercus trachycephalus (Squamata: Tropiduridae)?
Figure S3. Environmental temperature fluctuation throughout the day in Guanentá.
FIGURE 3 in Diet, Microhabitat Use, And Thermal Preferences Of Ptychoglossus Bicolor (Squamata: Gymnophthalmidae) In An Organic Coffee Shade Plantation In Colombia
FIGURE 3: Relationships between lizard size and total volume of prey in stomach of Ptychoglossus bicolor.The degree of fullness of the stomach varies among individuals. The upper line is an estimate of where points for lizards with completely full stomach should lie; points for lizards with a nearly empty stomach would approach the x axis. Data are shown non-log-transformed to illustrate that most stomachs were not nearly full.
FIGURE 2 in Diet, Microhabitat Use, And Thermal Preferences Of Ptychoglossus Bicolor (Squamata: Gymnophthalmidae) In An Organic Coffee Shade Plantation In Colombia
FIGURE 2: Diet variation over time of Ptychoglossus bicolor. Graph shows volume of isopods, and volume of the full stomach content variation. The bars represent ± 95% confidence bounds for the means. Covariate mean for SVL:1.75.
FIGURE 1 in Diet, Microhabitat Use, And Thermal Preferences Of Ptychoglossus Bicolor (Squamata: Gymnophthalmidae) In An Organic Coffee Shade Plantation In Colombia
FIGURE 1: Climate of the study area. Data correspond to the monthly average precipitation and temperature of La Hacienda El Roble (Mesa de los Santos, Santander). Current data were recorded from the coffee farm station, and historical data were taken from the DIVA-GIS database.
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Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
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