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115 results for “Niche overlap”
Implications of climate change for environmental niche overlap between five Cuscuta pest species and their two main host crop species
<p><span>Some parasitic plants are major pests in agriculture, but how this might be affected by climate change remains largely unknown. In this study, we assessed this for five generalist holoparasitic <em>Cuscuta </em>species (<em>Cuscuta approximata, C. australis, C. chinensis, C. europaea, C. japonica</em>) and two of their main Leguminosae host crop species (<em>Glycine max </em>and <em>Medicago sativa</em>). For each of the five <em>Cuscuta </em>species and the two crop species, we ran MaxEnt models, using climatic and soil variables to predict their potential current distributions and potential future distributions for 2070. We ran species distribution models for all seven species for multiple climate-change scenarios, and tested for changes in the overlap of suitable ranges of each crop with the five parasites. We found that annual mean temperature and isothermality are the main bioclimatic factors determining the suitable habitats of the <em>Cuscuta </em>species and their hosts. </span><span>For both host species, the marginally to optimally suitable area will increase by 2070 for all four RCP scenarios. For most of the <em>Cuscuta </em>species, the marginally to optimally suitable area will also increase. As the suitable area for both the hosts and the parasites will overall increase, Schoener's D, indicating the relative overlap in suitable area, will change only marginally. However, the absolute area of potential niche overlap may increase up to six-fold by 2070. Overall, our results indicate that larger parts of the globe will become suitable for both host species, but that they could also suffer from <em>Cuscuta </em>parasitism in larger parts of their suitable ranges.</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.)
Fig. 5 in Niche overlap and host specificity in parasitic Maculinea butterflies (Lepidoptera: Lycaenidae) as a measure for potential extinction risks under climate change
Fig. 5 Niche identity tests of Maculinea/Myrmica host associations under the A2a climate change scenario for 2080. The red arrow indicates the measured niche overlap between hosts and parasites
Fig. 3 in Niche overlap and host specificity in parasitic Maculinea butterflies (Lepidoptera: Lycaenidae) as a measure for potential extinction risks under climate change
Fig. 3 Niche identity tests of Maculinea/Myrmica host associations under current climate. The red arrow indicates the measured niche overlap between hosts and parasites derived from ENMs generated
Fig. 2 in Niche overlap and host specificity in parasitic Maculinea butterflies (Lepidoptera: Lycaenidae) as a measure for potential extinction risks under climate change
Fig. 2 Estimated potential distributions of Maculinea butterflies (light grey) and Myrmica ants (dark grey) under current climatic conditions show large geographic overlaps of the butterfly species with their respective main (red) and secondary hosts (orange)
Fig. 2 Conceptual differences among proposed niche overlap analyses. Imagine a in A novel method to calculate climatic niche similarity among species with restricted ranges-the case of terrestrial Lycian salamanders
Fig. 2 Conceptual differences among proposed niche overlap analyses. Imagine a set of three species with different preferences along an environmental gradient. Using SDM projections, it is possible to derive for each species a probability distribution across the gradient. Comparing two species as proposed by Warren et al. (2008), the overlap (grey area in the middle panel) of their respective probability distributions in geographic space is computed (pair-wise niche overlap). In our jackknife approach, a probability distribution derived from all species records is compared to a probability distribution derived from all minus one species. The 1−the resulting overlap value reflects the relative contribution of the omitted species to the entire probability distribution (grey area in the lower panel) and can be used as measure to rank all species when omitting them iteratively. Note that these specific indices are comparable only across each method but not among the different approaches
Fig. 4.—Climatic niche overlaps A and B in Identifying regional environmental factors driving differences in climatic niche overlap in Peromyscus mice
Fig. 4.—Climatic niche overlaps A and B differed among allopatric, parapatric, and sympatric species pairs of Peromyscus mice throughout North America. Bayesian 95% highest posterior density intervals estimates showed that sympatric species pairs had higher average overlap than parapatric or allopatric pairs and that parapatric pairs had higher average overlap than allopatric pairs.
Fig. 2 in Identifying regional environmental factors driving differences in climatic niche overlap in Peromyscus mice
Fig. 2.—Species richness map derived from geographic ranges of 43 species of Peromyscus mice available in the IUCN database (NatureServe and IUCN 2018). The remaining species mostly comprise island forms with ranges too small to be visualized in this map.
Fig. 3 in Identifying regional environmental factors driving differences in climatic niche overlap in Peromyscus mice
Fig. 3.—Illustration of the relative climatic niche overlap between species pairs of North American Peromyscus mice.
Fig. 1.—A in Identifying regional environmental factors driving differences in climatic niche overlap in Peromyscus mice
Fig. 1.—A visual summary of the three distribution modes and associated scenarios of range and climatic niche overlaps between species. The blue and green colors represent two different species within a pair. In this illustration, different parts of the triangle (a mountain) will exhibit different climatic conditions. When the two species (blue and green mouse) are aligned horizontally (either on the same mountain or on separate mountains), they will experience the same climatic conditions. When one species is above the other (either on the same mountain or on separate mountains), they experience different climatic conditions.
FIG. 1 in Habitat Usage, Dietary Niche Overlap, and Potential Partitioning between the Endangered Spotted Turtle (Clemmys guttata) and Other Turtle Species
FIG. 1. The path analysis shows the relationship between habitat parameters associated with PC1 (which was strongly positively loaded with salinity, depth, dissolved O2, canopy cover, and pH) and three turtle species: Chrysemys picta, Kinosternon subrubrum, and Clemmys guttata on the Atlantic Coastal Plain. The solid and dashed lines represent direct and indirect effects, respectively, and black lines indicate positive effects while gray lines indicate negative effects. The numbers associated with each line represent the direction and magnitude of each effect, with the strength of the interaction increasing as the values approach 1.
FIG. 2 in Habitat Usage, Dietary Niche Overlap, and Potential Partitioning between the Endangered Spotted Turtle (Clemmys guttata) and Other Turtle Species
FIG. 2. Biplots of d15N and d13C for four turtle species at all sites with ellipses around each species (filled squares/solid black line ¼ Kinosternon subrubrum, filled triangles/solid gray line ¼ Chrysemys picta, open circles/gray dashed line¼ Chelydra serpentina, filled diamonds/ lack dashed line ¼ Clemmys guttata). There is a large overlap in isotopic compositions for all species, resulting in no significant differences in isotopic niche space between species (see text).
FIG. 3 in Habitat Usage, Dietary Niche Overlap, and Potential Partitioning between the Endangered Spotted Turtle (Clemmys guttata) and Other Turtle Species
FIG. 3. Bivariate SIBER (Stable Isotope Bayesian Ellipses in R) plots of ellipses estimating isotopic niche based on the d13C and d15N compositions with all species, excluding C. serpentina. The black circles represent the mode, while the three ellipses from the center outwards show where 50%, 75%, and 95% of the data lie, respectively. The numbers indicate the site numbers, while the letter codes indicate species names (MUDT ¼ Kinosternon subrubrum, PATU ¼ Chrysemys picta, SPTU ¼ Clemmys guttata). Together, these bivariate data of the isotopic compositions create ellipses which represent the relative sizes of the isotopic niche of each turtle species at all of our sites on the Atlantic Coastal Plain. Despite the lack of any significant differences in isotopic niche, these ellipses allow us to see some degree of niche overlap among C. guttata at all sites.
To share or not to share: DNA metabarcoding reveals trophic niche overlap between sympatric trawling bats.
<p>All genetic sequences used in the scientific paper entiteled "To share or not to share: DNA metabarcoding reveals trophic niche overlap between sympatric trawling bats".</p>
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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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.