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694 results for “fish diversity”
Figure 1 in Fish diversity of a tributary of the Meta River, in the flat highlands of the colombian Orinoquia
Figure 1. Geographical location and sampling stations on the Mitimiti stream.
Figure 2 in Fish Diversity and Distribution in the Aksu River Estuary (Antalya- Turkey), in Relation to Environmental Variables
Figure 2. Temporal and spatial variations of biomass, Shannon and Evenness index.
Figure 3 in Fish Diversity and Distribution in the Aksu River Estuary (Antalya- Turkey), in Relation to Environmental Variables
Figure 3. Plot of site and species scores with 3 environmental variables in the first two CCA axes.
Fish functional diversity traits
<b>Description: </b><p>Traits matrix for all fish species caught at SAFE and Danum during electrofishing only</p><p><b>Project: </b>This dataset was collected as part of the following SAFE research project: <a href="https://www.safeproject.net/projects/project_view/57"><b>Composition and abundance of tropical freshwater vertebrate communities across a land use gradient</b></a></p><p><b>XML metadata: </b>GEMINI compliant metadata for this dataset is available <a href="https://www.safeproject.net/datasets/xml_metadata?id=84">here</a></p><p><b>Data worksheets: </b>There are 1 data worksheets in this dataset:</p><ol><li><p><b>Fish functional diversity traits </b> (Worksheet Data)</p><p>Dimensions: 44 rows by 11 columns</p><p>Description: Traits matrix for all fish species caught at SAFE and Danum during electrofishing only</p><p>Fields: </p><ul><li><b>taxon_name</b>: Identity of the species (Field type: Taxa)</li><li><b>Body_size</b>: Mean body length of each species (Field type: Numeric Trait)</li><li><b>body_shape</b>: Body shape of each species (Field type: Categorical Trait)</li><li><b>trophic_position</b>: Dominant trophic position of each species (Field type: Categorical Trait)</li><li><b>mouth_position</b>: Mouth position of each species (Field type: Categorical Trait)</li><li><b>presence_teeth</b>: Presence of absence of jaw teeth (no = absent, yes=presence) (Field type: Categorical Trait)</li><li><b>gregariousness</b>: Gregariousness of each species - do they school or not (Field type: Categorical Trait)</li><li><b>presence_barbels</b>: Presence or absence of barbels on each species (Field type: Categorical Trait)</li><li><b>vertical_position_water</b>: Vertical postion in the water column of each species (Field type: Categorical Trait)</li><li><b>air-breathing_capability</b>: Presence or absence of air breathing capability of each species (Field type: Categorical Trait)</li></ul><br></li></ol><p><b>Date range: </b>2013-04-12 to 2018-01-01</p><p><b>Latitudinal extent: </b>4.5000 to 5.0700</p><p><b>Longitudinal extent: </b>116.7500 to 117.8200</p><p><b>Taxonomic coverage: </b><br> All taxon names are validated against the GBIF backbone taxonomy. If a dataset uses a synonym, the accepted usage is shown followed by the dataset usage in brackets. Taxa that cannot be validated, including new species and other unknown taxa, morphospecies, functional groups and taxonomic levels not used in the GBIF backbone are shown in square brackets.</p><div>Animalia<br> - Chordata<br> -  - Actinopterygii<br> -  -  - Anguilliformes<br> -  -  -  - Anguillidae<br> -  -  -  -  - <i>Anguilla</i><br> -  -  -  -  -  - <i>Anguilla borneensis</i><br> -  -  -  -  -  - <i>Anguilla marmorata</i><br> -  -  - Cypriniformes<br> -  -  -  - Balitoridae<br> -  -  -  -  - <i>Gastromyzon</i><br> -  -  -  -  -  - <i>Gastromyzon ingeri</i><br> -  -  -  -  -  - <i>Gastromyzon lepidogaster</i><br> -  -  -  -  - <i>Homalopteroides</i><br> -  -  -  -  -  - <i>Homalopteroides stephensoni</i><br> -  -  -  -  - <i>Protomyzon</i><br> -  -  -  -  -  - <i>Protomyzon borneensis</i><br> -  -  -  -  -  - <i>Protomyzon griswoldi</i><br> -  -  -  -  -  - [<i>Protomyzon microstoma</i>]<br> -  -  -  - Cyprinidae<br> -  -  -  -  - <i>Anematichthys</i><br> -  -  -  -  -  - <i>Anematichthys repasson</i> (as <i>Cyclocheilichthys repasson</i>)<br> -  -  -  -  - <i>Barbonymus</i><br> -  -  -  -  -  - <i>Barbonymus balleroides</i><br> -  -  -  -  - <i>Crossocheilus</i><br> -  -  -  -  -  - <i>Crossocheilus elegans</i><br> -  -  -  -  - <i>Garra</i><br> -  -  -  -  -  - <i>Garra borneensis</i><br> -  -  -  -  - <i>Hampala</i><br> -  -  -  -  -  - <i>Hampala sabana</i><br> -  -  -  -  - <i>Leptobarbus</i><br> -  -  -  -  -  - <i>Leptobarbus melanotaenia</i><br> -  -  -  -  - <i>Lobocheilos</i> (as <i>Lobocheilus</i>)<br> -  -  -  -  -  - [<i>Lobocheilus erinaceus</i>]<br> -  -  -  -  -  - [<i>Lobocheilus unicornis</i>]<br> -  -  -  -  - <i>Luciosoma</i><br> -  -  -  -  -  - [<i>Luciosoma pelligrini</i>]<br> -  -  -  -  -  - [<i>Nematobramis everetti</i>]<br> -  -  -  -  - <i>Osteochilus</i><br> -  -  -  -  -  - <i>Osteochilus chini</i><br> -  -  -  -  -  - <i>Osteochilus ingeri</i><br> -  -  -  -  - <i>Puntius</i><br> -  -  -  -  -  - <i>Puntius sealei</i> (as <i>Barbodes sealei</i>)<br> -  -  -  -  - <i>Rasbora</i><br> -  -  -  -  -  - [<i>Rasbora cf. sumatrana</i>]<br> -  -  -  -  -  - <i>Rasbora elegans</i><br> -  -  -  -  -  - <i>Rasbora hubbsi</i><br> -  -  -  -  - <i>Tor</i><br> -  -  -  -  -  - <i>Tor tambra</i><br> -  -  -  - Nemacheilidae<br> -  -  -  -  - <i>Nemacheilus</i><br> -  -  -  -  -  - <i>Nemacheilus olivaceus</i><br> -  -  - Perciformes<br> -  -  -  - Channidae<br> -  -  -  -  - <i>Channa</i><br> -  -  -  -  -  - <i>Channa striata</i><br> -  -  -  - Cichlidae<br> -  -  -  -  - <i>Oreochromis</i><br> -  -  -  -  -  - <i>Oreochromis mossambicus</i><br> -  -  -  - Osphronemidae<br> -  -  -  -  - <i>Betta</i><br> -  -  -  -  -  - <i>Betta unimaculata</i><br> -  -  - Siluriformes<br> -  -  -  - Bagridae<br> -  -  -  -  - <i>Hemibagrus</i><br> -  -  -  -  -  - <i>Hemibagrus baramensis</i><br> -  -  -  -  -  - <i>Hemibagrus fortis</i><br> -  -  -  - Clariidae<br> -  -  -  -  - <i>Clarias</i><br> -  -  -  -  -  - <i>Clarias anfractus</i><br> -  -  - Synbranchiformes<br> -  -  -  - Mastacembelidae<br> -  -  -  -  - <i>Macrognathus</i><br> -  -  -  -  -  - <i>Macrognathus keithi</i><br> -  -  -  -  - <i>Mastacembelus</i><br> -  -  -  -  -  - <i>Mastacembelus unicolor</i><br></div><p></p>
Gilby et al Reef Fish Functional Diversity
<p>Fish data from reefs along the southern and central Queensland coasts. </p>
Figure 2. A in Exploration of Fish Diversity in the West Banas River, Banaskantha, Gujarat
Figure 2. A view of area of study downstream to Dantiwada dam.
FIGURE 41 in Fishes of the upper rio Paraná basin: diversity, biogeography and conservation
FIGURE 41 | Records of threatened species in the upper rio Paraná basin.
FIGURE 38 in Fishes of the upper rio Paraná basin: diversity, biogeography and conservation
FIGURE 38 | NMDS analysis with spatial changes in fish assemblages in the upper rio Paraná.
Fig. 1 in Diel Variations And Diversity Of Fish Communities Along The Unreclaimed Shallow Coastal Habitats Of Changi Point Beach, Singapore
Fig. 1. Map of study area showing site by name (CPB: Changi Point Beach)
Fig. 3 in Diversity And Assemblage Patterns Of Juvenile And Small Sized Fishes In The Nearshore Habitats Of The Gulf Of Thailand
Fig. 3. Species richness of fish samples in each habitat during the study period.
Quantitative monitoring of diverse fish communities on a large scale combining eDNA metabarcoding and qPCR
<p>eDNA metabarcoding is an effective method for studying fish communities but allows only an estimation of relative species abundance (density / biomass). Here, we combine metabarcoding with an estimation of the total abundance of eDNA amplified by our universal marker (teleo) using a qPCR approach to infer the absolute abundance of fish species. We carried out a 2,850 km eDNA survey within the Danube catchment using a spatial integrative sampling protocol coupled with traditional electrofishing for fish biomass and density estimation. Total fish eDNA concentrations and total fish abundance were highly correlated. The correlation between eDNA concentrations per taxon and absolute specific abundance was of comparable strength when all sites were pooled and remained significant when the sites were considered separately. Furthermore, a non-linear mixed model showed that species richness was underestimated when the amount of teleo-DNA extracted from a sample was below a threshold of 0.65.106 copies of eDNA. This result, combined with the decrease in teleo-DNA concentration by several orders of magnitude with river size, highlights the need to increase sampling effort in large rivers. Our results show a comprehensive description of longitudinal changes in fish communities and underline our combined metabarcoding/qPCR approach for biomonitoring and bioassessment surveys when a rough estimate of absolute species abundance is sufficient.</p>
Data from: Navigating the scales of diversity in subtropical and coastal fish assemblages ascertained by eDNA and visual surveys
<p>Environmental DNA (eDNA) metabarcoding emerges as a powerful method, allowing a more exhaustive investigation of fish fauna than any other methods. Yet, the general use of eDNA as a replacement of traditional methods such as visual surveys or physical sampling remains debatable. Therefore, a prior understanding of eDNA's spatial resolution is necessary. This study aimed to compare the assessments of fish diversity at three spatial scales by eDNA, underwater visual census (UVC), and diver-operated video (DOV) surveys across 21 reef sites in northern Taiwan. The specific objectives were to explore the regional species pool (γ-diversity), reveal spatial patterns of fish assemblages (β-diversity), and disentangle the relationships between fish assemblages and benthic composition (α-diversity). At the γ-diversity level, a total of 438 marine fish species were detected across methods. eDNA exhibits an extraordinary power to explore the regional species pool given sufficient replication, a power which is unachievable by DOV and UVC. At the β-diversity level, all the methods successfully revealed the same spatial patterns of beta diversity and the distance decay of similarity in fish assemblages. At the α-diversity level, none of the methods is capable of investigating the entire resident fish fauna, but visual surveys are more suitable for scrutinizing interactions between fish and benthos. Instead of undiscriminatingly recommending a combination of eDNA with traditional survey methods, we suggest implementing specific surveys in accordance with the ecological questions of interest.</p>
Figure 5 in Diversity and conservation of fishes from karstic areas of the Jandaíra Formation in the Brazilian semiarid
Figure 5. Examples of fishes recorded in the Apodi-Mossoró river basin, Jandaíra formation karst, Rio Grande do Norte State, Brazil. (A) Hoplerythrinus unitaeniatus, (B) Trachelyopterus galeatus, (C) Cichla sp., (D) Astyanax bimaculatus, (E) Hypostomus pusarum, (F) Cichlasoma orientale, (G) Characidium bimaculatum, (H) Loricariichthys derbyi and (I) Oreochromis niloticus.
Figure 6 in Diversity and conservation of fishes from karstic areas of the Jandaíra Formation in the Brazilian semiarid
Figure 6. Hoplias malabaricus (bottom right), shoal of Astyanax bimaculatus, and Poecilia vivipara in a shallow waterhole at site 12 in the Carmo river.
Figure 4 in Diversity and conservation of fishes from karstic areas of the Jandaíra Formation in the Brazilian semiarid
Figure 4. Graphic representation of fish by orders (A), and fish richness in each sampling site (B). * Located in the Furna Feia National Park.
Figure 1 in Diversity and conservation of fishes from karstic areas of the Jandaíra Formation in the Brazilian semiarid
Figure 1. Map of the sampling sites in the karstic Jandaíra Formation (dark gray areas), Rio Grande do Norte State, Northeast Brazil. Dark blue lines indicate hydrography. Green shape shows the limits of the Furna Feia National Park. Circles represent temporary water bodies and triangles represent perennial localities. Surface sites are show in red, those associated to caves in orange, and caves in yellow.
Figure 2 in Diversity and conservation of fishes from karstic areas of the Jandaíra Formation in the Brazilian semiarid
Figure 2. Examples of sampling sites in karstic areas of the Jandaíra Formation in Rio Grande do Norte State, Brazil. Surface habitats of sites 5, 11 and 18 (A, B and C), habitats associated to caves of sites 13 (D and E) and 14 (F), cave habitats of sites 16, 17 and 22 (G, H and I).
Fig. 50 in The non-native freshwater fishes of Hong Kong: diversity, distributions, and origins
Fig. 50. Micropterus salmoides, Lam Tei Irrigation Reservoir.
Fig. 60 in The non-native freshwater fishes of Hong Kong: diversity, distributions, and origins
Fig. 60. Mugilogobius myxodermus, Plover Cove Reservoir.
Fig. 58. Glossogobius olivaceus, 65 in The non-native freshwater fishes of Hong Kong: diversity, distributions, and origins
Fig. 58. Glossogobius olivaceus, 65 mm SL, Plover Cove Reservoir.
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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)
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DANDI Archive for NWB datasets
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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.
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