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9 results for “n-dimensional hypervolume”
Linked collectors and determiners for: Applying n-dimensional hypervolumes for species delimitation: unexpected molecular, morphological, and ecological diversity in the Leaf-Toed Gecko Phyllodactylus reissii Peters, 1862 (Squamata: Phyllodactylidae) from northern Peru.
Natural history specimen data linked to collectors and determiners held within, "Applying n-dimensional hypervolumes for species delimitation: unexpected molecular, morphological, and ecological diversity in the Leaf-Toed Gecko Phyllodactylus reissii Peters, 1862 (Squamata: Phyllodactylidae) from northern Peru". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/4de18441-9329-474b-a4a0-dea3aaf1e1ee">https://bionomia.net/dataset/4de18441-9329-474b-a4a0-dea3aaf1e1ee</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/4de18441-9329-474b-a4a0-dea3aaf1e1ee">https://gbif.org/dataset/4de18441-9329-474b-a4a0-dea3aaf1e1ee</a>. Formatted as a Frictionless Data package.
Data from: N-dimensional hypervolumes in trait-based ecology: does occupancy rate matter?
<p>Many methods for estimating functional diversity of biological communities rely on measuring geometrical properties of n-dimensional hypervolumes in a trait space. To date, these properties are calculated from individual hypervolumes or from their pairwise combinations. Our capacity to detect functional diversity patterns due to the overlap of multiple hypervolumes is thus limited.</p> <p>Here, we propose a new approach for estimating functional diversity from a set of hypervolumes. We rely on the concept of occupancy rate, defined as the mean or absolute number of hypervolumes enclosing a given point in the trait space. Furthermore, we describe a permutation test to identify regions of the trait space in which the occupancy rate of two sets of hypervolumes differs.</p> <p>We illustrate the utility of our approach over existing methods with two examples on aquatic macroinvertebrates. The first example shows how occupancy rate relates to the stability of trait space utilisation due to increased flow intermittency and allows the identification of taxa in regions of the trait space with low occupancy rates. The second example shows how the permutation test based on occupancy rates can detect differences in trait space utilisation due to river morphology variation even with a high degree of overlap among input hypervolumes.</p> <p>Our newly developed approach is particularly suitable in functional diversity analysis when investigating patterns of overlap among multiple hypervolumes. We thus emphasise the need to consider analyses based on occupancy rate into functional diversity estimation.</p>
Data from: N-dimensional hypervolumes in trait-based ecology: does occupancy rate matter?
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FIGURE 5 in Applying n-dimensional hypervolumes for species delimitation: unexpected molecular, morphological, and ecological diversity in the Leaf-Toed Gecko Phyllodactylus reissii Peters, 1862 (Squamata: Phyllodactylidae) from northern Peru
FIGURE 5. Dorsal and ventral views of the holotype of Phyllodactylus pachamama sp. nov. (ZFMK 90886). Scale bars represent 5 mm.
FIGURE 3. N in Applying n-dimensional hypervolumes for species delimitation: unexpected molecular, morphological, and ecological diversity in the Leaf-Toed Gecko Phyllodactylus reissii Peters, 1862 (Squamata: Phyllodactylidae) from northern Peru
FIGURE 3. N-dimensional hypervolumes of morphological data show the position of the delimited species in the Phyllodactylus reissii group in multidimensional morphological space. Circles mark PCA-derived observations.
FIGURE 2 in Applying n-dimensional hypervolumes for species delimitation: unexpected molecular, morphological, and ecological diversity in the Leaf-Toed Gecko Phyllodactylus reissii Peters, 1862 (Squamata: Phyllodactylidae) from northern Peru
FIGURE 2. Bayesian consensus tree of Ecuadorian and Peruvian Phyllodactylus based on 835 bp of mitochondrial DNA (12S and 16S rRNA). Node support in terms of Bayesian posterior probabilities is indicated by circles at nodes (nodes with a BPP ≥ 0.90 are white, BPP ≥ 0.95 are grey, BPP> 0.99 are black, values <0.90 are not marked). Outgroup (Phyllopezus maranjonensis) not shown for clarity. Results of the species delimitations in the P. reissii group are illustrated by vertical bars. Each bar represents a species detected by the respective approach. Coloration of the bars is according to the species resulting from the consensus of all species delimitation hypotheses.
FIGURE 1 in Applying n-dimensional hypervolumes for species delimitation: unexpected molecular, morphological, and ecological diversity in the Leaf-Toed Gecko Phyllodactylus reissii Peters, 1862 (Squamata: Phyllodactylidae) from northern Peru
FIGURE 1. Geographical distribution of the different clades of Phyllodactylus reissii and related species. Colors refer to delimited species (see Fig. 2). Insets show clades endemic to the inter-Andean valley of the upper Marañón River. Circles mark occurrence records used for climatic niche distribution modeling. Localities with a thick margin were also genetically sampled.
FIGURE 6 in Applying n-dimensional hypervolumes for species delimitation: unexpected molecular, morphological, and ecological diversity in the Leaf-Toed Gecko Phyllodactylus reissii Peters, 1862 (Squamata: Phyllodactylidae) from northern Peru
FIGURE 6. Phyllodactylus pachamama sp. nov. from the type locality (Balsas, Amazonas, Peru) in life.
FIGURE 4. N in Applying n-dimensional hypervolumes for species delimitation: unexpected molecular, morphological, and ecological diversity in the Leaf-Toed Gecko Phyllodactylus reissii Peters, 1862 (Squamata: Phyllodactylidae) from northern Peru
FIGURE 4. N-dimensional hypervolumes representing the climatic niches of the delimited species in the Phyllodactylus reissii group. Circles mark centroids and outlines are the 90% confidence interval of the hypervolumes (note that these only approximate the actual hypervolumes and are only used for a more clear illustration).
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