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299 results for “niche models”
Data from: High invasion potential of Hydrilla verticillata in the Americas predicted using ecological niche modeling combined with genetic data
Ecological niche modeling is an effective tool to characterize the spatial distribution of suitable areas for species, and it is especially useful for predicting the potential distribution of invasive species. The widespread submerged plant Hydrilla verticillata (hydrilla) has an obvious phylogeographical pattern: Four genetic lineages occupy distinct regions in native range, and only one lineage invades the Americas. Here, we aimed to evaluate climatic niche conservatism of hydrilla in North America at the intraspecific level and explore its invasion potential in the Americas by comparing climatic niches in a phylogenetic context. Niche shift was found in the invasion process of hydrilla in North America, which is probably mainly attributed to high levels of somatic mutation. Dramatic changes in range expansion in the Americas were predicted in the situation of all four genetic lineages invading the Americas or future climatic changes, especially in South America; this suggests that there is a high invasion potential of hydrilla in the Americas. Our findings provide useful information for the management of hydrilla in the Americas and give an example of exploring intraspecific climatic niche to better understand species invasion.
Supplementary material 1 from: Le MD, Rödder D, Nguyen TT, The Pham C, Nguyen TQ, Ong AV, McCormack TEM, Nguyen TT, Le MH, Ngo HT, Ziegler T (2024) Climatic niche modelling and genetic analyses highlight conservation priorities for the Spotted Softshell Turtle (Pelodiscus variegatus). Nature Conservation 55: 67-82. https://doi.org/10.3897/natureconservation.55.114746
Supplementary data
Fig. 1 in Using Ecological Niche Modeling For Biodiversity Conservation Guidance In The Western Podillya (Ukraine): Reptiles
Fig. 1. Response curve of isothermality (bio 3), used for predicting the potential distribution of Zamenis longissimus at the local scale (Western Podillya in Ukraine).
FIGURE 3 in Comparisons of two cryptic Ampedus species (Coleoptera: Elateridae) by using classical systematics, ecological niche modeling, and DNA barcoding
FIGURE 3. Evolutionary relationships optimal tree of examined and outgroup taxa.
FIGURE 4 in Comparisons of two cryptic Ampedus species (Coleoptera: Elateridae) by using classical systematics, ecological niche modeling, and DNA barcoding
FIGURE 4. Evolutionary relationships bootstrap consensus tree of examined and outgroup taxa.
Figure 5 in A contribution to the biogeography and taxonomy of two Anatolian mountain brook newts, Neurergus barani and N. strauchii (Amphibia: Salamandridae) using ecological niche modeling
Figure 5. The range of future climate suitability predicted with CCSM4 by MaxEnt for A,C) N. barani and B,D) N. strauchii in the Anatolian Peninsula and Near East Asia.
Figure 2 in A contribution to the biogeography and taxonomy of two Anatolian mountain brook newts, Neurergus barani and N. strauchii (Amphibia: Salamandridae) using ecological niche modeling
Figure 2. The pattern of the coordinates data of both species, N. barani (red circle) and N. strauchi (blue triangle), with respect to latitude and longitude.
Figure 1 in A contribution to the biogeography and taxonomy of two Anatolian mountain brook newts, Neurergus barani and N. strauchii (Amphibia: Salamandridae) using ecological niche modeling
Figure 1. Location records for two species of Neurergus in the Anatolian Peninsula (blue points, N. barani, and red points, N. strauchii).
Figure 2 in Environmental niche modelling of the Chinese pond mussel invasion in Europe under climate change scenarios
Figure 2. Response curves of the environmental variables selected for prediction of S. woodiana distribution under the recent climate scenario. Each curve (green line) shows how the logistic prediction changes as each environmental variable is varied. The orange dashed line crosses the maximum value of the variable.
Linked collectors and determiners for: Taxonomic revision of the southern hemisphere pygmy forget-me-not group (Myosotis; Boraginaceae) based on morphological, population genetic and climate-edaphic niche modelling data.
Natural history specimen data linked to collectors and determiners held within, "Taxonomic revision of the southern hemisphere pygmy forget-me-not group (Myosotis; Boraginaceae) based on morphological, population genetic and climate-edaphic niche modelling data". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/32977d5c-8f02-4d26-8f75-ce56bf36f1fa">https://bionomia.net/dataset/32977d5c-8f02-4d26-8f75-ce56bf36f1fa</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/32977d5c-8f02-4d26-8f75-ce56bf36f1fa">https://gbif.org/dataset/32977d5c-8f02-4d26-8f75-ce56bf36f1fa</a>. Formatted as a Frictionless Data package.
Data from: PaleoENM: applying ecological niche modeling to the fossil record
Ecological niche modeling (ENM) is a quantitative approach to predict species' abiotic requirements. It is a correlative technique, requiring geographically explicit information on species occurrences and the suites of environmental conditions experienced at each occurrence point. The output of these models is a set of environmental suitability rules that can be projected geographically and through time to test biogeographic, ecologic, and evolutionary hypotheses. Although developed by biologists and used extensively in the modern, ENM is in its early stages of application to the deep-time fossil record (hence PaleoENM). In part its limited use in the fossil record thus far reflects the methodological challenge of constructing paleoenvironmental layers needed for PaleoENM analysis, whereas in the modern these layers are available from large public databases (e.g., WorldClim). This paper provides a contextual and methodological framework for appropriately applying PaleoENM, including best practices for developing species occurrence and paleoenvironmental data sets for PaleoENM analyses.
Data from: Is saltmarsh restoration success constrained by matching natural environments or altered succession? a test using niche models
1.Restored habitats, such as saltmarsh created through managed realignment, sometimes fail to meet targets for biological equivalence with natural reference sites. Understanding why this happens is important in order to improve restoration outcomes. 2.Elevation in the tidal frame and sediment redox potential are major controls on the distribution of saltmarsh plants. We use niche models to characterize ten species' responses to these, and test whether differences in species occurrence between restored and natural saltmarshes in the UK result from failure to recreate adequate environmental conditions. 3.Six species occurred less frequently in recently restored marshes than natural marshes. Failure of restored marshes to achieve the elevation and redox conditions of natural marshes partially explained the underrepresentation of five of these species, but did not explain patterns of occurrence on older (> 50 years) restored marshes. 4.For all species, an effect of marsh age remained after controlling for differences in environmental conditions. This could be due to differences in successional mechanism between restored and natural marshes. In recently restored marshes, high-marsh species occurred lower in the tidal frame and low-marsh species occurred at higher elevations than in natural marshes. This supports the hypothesis that competition is initially weaker in restored marshes, because of the availability of bare sediment across the whole tidal frame. Species that establish outside their normal realized niche, such as Atriplex portulacoides, may inhibit subsequent colonization of other species that occurred less frequently than expected on older restored marshes. 5.Synthesis and applications. Niche models can be used to test whether abiotic differences between restored sites and their natural counterparts are responsible for discrepancies in species occurrence. In saltmarshes, simply replicating environmental conditions will not result in equivalent species occurrence.
Demographic inferences and climatic niche modeling shed light on the evolutionary history of the emblematic cold-adapted Apollo butterfly at regional scale
<p>Cold-adapted species escape climate warming by latitudinal and/or altitudinal range shifts, and currently occur in Southern Europe in isolated mountain ranges within 'sky islands.</p> <p>Here we studied the genetic structure of the Apollo butterfly in five such alpine islands (above 1000 m) in France, and infer its demographic history since the last interglacial, using single nucleotide polymorphisms (ddRADseq SNPs). The Auvergne and Alps populations show strong genetic differentiation but not alpine massifs, although separated by deep valleys. Combining three complementary demographic inference methods and species distribution models (SDMs) we show that the LIG period was highly defavorable for Apollo that probably survived in small population in the highest summits of Auvergne. The population shifted downslope and expanded eastward between LIG and LGM throughout the large climatically suitable Rhône valley between the glaciated summits of Auvergne and Alps. The Auvergne and Alps populations started diverging before the LGM but remained largely connected till the mid-Holocene. Population decline in Auvergne was more gradual but started before (~7 kya versus 800 ya), and was much stronger with current population size ten times lower than in the Alps. In the Alps, the low genetic structure and limited evidence for isolation by distance suggest a non-equilibrium metapopulation functioning. The core Apollo population experienced cycles of contraction-expansion with climate fluctuations with largely inter-connected populations over time according to a 'metapopulation-pulsar' functioning. This study demonstrates the power of combining demographic inferences and SDMs to determine past and future evolutionary trajectories of an endangered species at a regional scale.</p>
Supplementary material 1 from: Rojas-Arias L, Gómez-Morales D, Stiegel S, Ospina-Torres R (2023) Niche modeling of bumble bee species (Hymenoptera, Apidae, Bombus) in Colombia reveals highly fragmented potential distribution for some species. Journal of Hymenoptera Research 95: 231-244. https://doi.org/10.3897/jhr.95.87752
Points used for the Niche modeling of Bumblebee species (Hymenoptera, Apidae, Bombus) in Colombia
Supplementary material 1 from: Whelan NV, Strong EE, Gladstone NS, Mays JW (2023) Using genomics, morphometrics, and environmental niche modeling to test the validity of a narrow-range endemic snail, Patera nantahala (Gastropoda, Polygyridae). ZooKeys 1158: 91-120. https://doi.org/10.3897/zookeys.1158.94152
Species information
Supplementary material 2 from: Whelan NV, Strong EE, Gladstone NS, Mays JW (2023) Using genomics, morphometrics, and environmental niche modeling to test the validity of a narrow-range endemic snail, Patera nantahala (Gastropoda, Polygyridae). ZooKeys 1158: 91-120. https://doi.org/10.3897/zookeys.1158.94152
Additional images
Data from: High invasion potential of Hydrilla verticillata in the Americas predicted using ecological niche modeling combined with genetic data
Open the record for dataset details and reuse information.
Demographic inferences and climatic niche modeling shed light on the evolutionary history of the emblematic cold-adapted Apollo butterfly at regional scale
Open the record for dataset details and reuse information.
Data from: Is saltmarsh restoration success constrained by matching natural environments or altered succession? a test using niche models
Open the record for dataset details and reuse information.
Data from: Integrating fossils, phylogenies, and niche models into biogeography to reveal ancient evolutionary history: the case of Hypericum (Hypericaceae)
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Allen Brain Atlas
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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.