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52 results for “rocky reefs”
Figure 4 in Macrocrustaceans associated with reefs of Phragmatopoma caudata Krøyer in Mörch, 1863 (Polychaeta: Sabellariidae) and rocky shore in the Northeastern Brazil
Figure 4. Complex microhabitat in Phragmatopoma caudata KrØyer in Mörch (A, B) and heterogeneous microhabitat in the rocky shore (C), in the intertidal region of Santa Rita beach, Northeast Brazil.
Figure 3 in Macrocrustaceans associated with reefs of Phragmatopoma caudata Krøyer in Mörch, 1863 (Polychaeta: Sabellariidae) and rocky shore in the Northeastern Brazil
Figure 3. Redundancy Analysis triplot (RDA) addressing association of macrocrustacean species according to environmental variables (TEMP: Temperature; SAL: Salinity) on microhabitats: Phragmatopoma caudata KrØyer in Mörch and rocky shore, in Santa Rita beach, Northeast Brazil. Biotic variables: A_ang: Alpheus angulosus, A_bou: Alpheus bouvieri, A_buc: Alpheus buckupi, A_for: Alpheus formosus, A_nut: Alpheus nuttingi, S_fri: Synalpheus fritzmuelleri, C_tib: Calcinus tibicen, C_ant: Clibanarius antillensis, E_bit: Epialtus bituberculatus, M_lae: Macrocoeloma laevigatum, E_gon: Eriphia gonagra, N_bre: Neogonodactylus bredini, P_tra: Pachygrapsus transversus, M_nod: Menippe nodifrons, O_bic: Omalacantha bicornuta, M_for: Mithraculus forceps, M_ hem: Mithrax hemphilli, M_his: Mithrax hispidus, P_lhe: Pitho lherminieri, P_nor: Palaemon northropi, A_ber: Acantholobulus bermudensis, A_sch: Acantholobulus schmitti, E_lim: Eurytium limosum, H_pau: Hexapanopeus paulensis, P_occ: Panopeus occidentalis, P_das: Pilumnus dasypodus, P_ret: Pilumnus reticulatus, P_dep: Plagusia depressa, C_mar: Callinectes marginatus, M_ros: Megalobrachium roseum, P_gre: Pachycheles greeleyi, P_arm: Petrolisthesarmatus, P_gal: Petrolisthesgalathinus, P_bra:Pisidiabrasiliensis, U_nor: Upogebia noronhensis, U_omi: Upogebia omissa, P_spe: Platypodiella spectabilis, W_den: Williamstimpsonia denticulatus.
Figure 2 in Macrocrustaceans associated with reefs of Phragmatopoma caudata Krøyer in Mörch, 1863 (Polychaeta: Sabellariidae) and rocky shore in the Northeastern Brazil
Figure 2. Heatmap estimated by relative abundance of macrocrustacean species in relation to both microhabitats: Phragmatopoma caudata KrØyer in Mörch (PC) and rocky shore (RS), in Santa Rita beach, Northeast Brazil.
Data from: Sympatry and parapatry among rocky reef cichlids of Lake Victoria explained by female mating preferences
<p><span>Work on the Lake Victoria cichlids <em>Pundamilia nyererei</em> (red dorsum males, deeper water), <em>Pundamilia pundamilia</em> (blue males, shallower water) and related species pairs has provided insights into processes of speciation. Here, we investigate female mating behaviour of five <em>Pundamilia </em>species and four of their F1-hybrids through mate choice trials and paternity testing. We discuss the results in the context of the geography of speciation and coexistence. Complete assortative mating was observed among all sympatric species. Parapatric species with similar depth habitat distributions interbred whereas other parapatric and allopatric species showed complete assortative mating. F1-hybrids mated exclusively with species accepted by females of the parental species. Although consistent with reinforcement in sympatry, a closer look at our results suggests otherwise and it is more likely that pre-existing female preferences influence which taxa can co-exist in sympatry. Regardless of the mechanism, mating preferences may influence species distribution in potentially hybridizing taxa, such as in the adaptive radiations of cichlid fish. We suggest that this at least partly explains why some species fail to establish breeding populations in locations where they are occasionally recorded. Our result support the notion that mating preferences of potentially cross-breeding species ought to be included in coexistence theory.</span></p>
Fig. 2 in Dynamics of fish assemblages on a continuous rocky reef and adjacent unconsolidated habitats at Fernando de Noronha Archipelago, tropical western Atlantic
Fig. 2. Mean values (±SE) of temporal fluctuation and temporal stability.
Tropicalization shifts herbivore pressure from seagrass to rocky reef communities
<p>Climate-driven species redistributions are reshuffling the composition of marine ecosystems. How these changes alter ecosystem functions, however, remains poorly understood. Here we examine how the impacts of herbivory change across a gradient of tropicalization in the Mediterranean Sea, which includes a steep climatic gradient and marked changes in plant nutritional quality and fish herbivore composition. We quantified individual feeding rates and behaviour of 755 fishes of the native <em>Sarpa salpa</em>, and non-native <em>Siganus rivulatus</em> and <em>Siganus luridus</em>. We measured herbivore and benthic assemblage composition across 20 sites along the gradient, spanning 30º of longitude and 8º of latitude. We coupled patterns in behaviour and composition with temperature measurements and nutrient concentrations to assess changes in herbivory under tropicalization. We found a transition in ecological impacts by fish herbivory across the Mediterranean from a predominance of seagrass herbivory in the west to a dominance of macroalgal herbivory in the east. Underlying this shift were changes in both individual feeding behaviour (i.e., food choice) and fish assemblage composition. The shift in feeding selectivity was consistent among temperate and warm-affiliated herbivores. Our findings suggest herbivory can contribute to the increased vulnerability of seaweed communities and reduced vulnerability of seagrass meadows in tropicalized ecosystems. </p>
Data from: Sympatry and parapatry among rocky reef cichlids of Lake Victoria explained by female mating preferences
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Tropicalization shifts herbivore pressure from seagrass to rocky reef communities
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North Temperate Lakes site, station North Temperate Lakes, Site 7, Rocky Reef Bay, study of plant species richness in units of numberPer1pt25SquareMeters on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from North Temperate Lakes (NTL) contains plant species richness measurements in numberPer1pt25SquareMeters units and were aggregated to a yearly timescale.
Data from Jenkinson et al. 2020: Biogeographical variation in the distribution, abundance, and interactions among key species on rocky reefs of the northeast Pacific
<p>See Metadata tab for full description of transect survey data.</p>
Data from: A review of seascape complexity indices and their performance in coral and rocky reefs
<p>Seascape complexity is an important driver of ecological processes in marine systems. Today, high resolution, multiscale bathymetric data is being collected due to rapid advances in marine technologies and image processing, drastically improving the detailed mapping of the physical structure of the seascape. However, these data are rarely synthesized to create comprehensive complexity estimates, and complexity is still mostly measured using a small set of simple indices. The aims of this study are to: (1) review existing seascape complexity indices and propose innovative indices designed to capture the marine organism perspective, (2) quantify the interrelationships among these complexity indices; (3) test the performance of these indices in explaining fish assemblage structure; and (4) provide R code to easily reproduce the indices. Seascape bottom topography for this study was quantified using digital depth recordings along transects in Mediterranean subtropical rocky reefs and Red Sea tropical coral reefs. These were used to generate complexity indices that were then compared to visually surveyed fish assemblages. We found that several common indices captured similar complexity facets, while an innovative family of structural diversity indices, representing the diversity of physical elements, captured distinct complexity facets not represented by existing indices. No single index was consistently superior; however, vertical relief was consistently included as a top predictor of fish assemblage structure. Interestingly, the most commonly used index, rugosity, was a poor predictor. We suggest a new, distinct set of structural diversity indices that may explain considerable variation in fish assemblages.<span> The</span> results suggest that several indices may need to be combined to capture the full influence of complexity on marine diversity and caution against the use of a single 'universal' index. While bathymetric data is increasingly being collected at high resolutions and increasing scales, synthesizing this data requires the use of appropriate complexity indices. The guidelines and recommendations presented here, along with the <a href="https://doi.org/10.5281/zenodo.4393340">supplemental R code</a>, will facilitate progress towards a more complete representation of different complexity facets.</p>
FIGURE 6–9. Lithophyllum stictaeforme. FIGURE 6 in Taxonomy and distribution of non-geniculate coralline red algae (Corallinales, Rhodophyta) on rocky reefs from Ilha Grande Bay, Brazil
FIGURE 6–9. Lithophyllum stictaeforme. FIGURE 6. External morphology (RB 587134). Scale bar = 1 cm. FIGURE 7. Longitudinal section showing monomerous thallus construction (white arrow) (RB 587135). Scale bar = 100 μm. FIGURE 8. Longitudinal section showing a single layer of rounded to elliptical epithallial cells (e), subepithallial initials (s) and secondary pit connections between adjacent filaments (white arrow) (RB 587135). Scale bar = 10 μm. FIGURE 9. Longitudinal section through a tetrasporangial conceptacle showing
FIGURE 10–13. Hydrolithon reinboldii. FIGURE 10 in Taxonomy and distribution of non-geniculate coralline red algae (Corallinales, Rhodophyta) on rocky reefs from Ilha Grande Bay, Brazil
FIGURE 10–13. Hydrolithon reinboldii. FIGURE 10. External morphology (RB 493708). Scale bar = 1 cm. FIGURE 11. Longitudinal section showing a single layer of rounded epithallial cells (e), subepithallial initials (s) and cell fusions between adjacent filaments (white arrow) (RB 493709) Scale bar = 100 μm. FIGURE 12. Magnified view of a tetrasporangial conceptacle roof showing the enlarged cells (E, white arrow) lining the pore canal and the pore canal opening sunken slightly below the thallus surface (black arrow) (RB 493709). Scale bar = 10 μm. FIGURE 13. Longitudinal section through a tetrasporangial conceptacle showing zonately divided tetrasporangia (te) (RB 493709). Scale bar = 50 μm.
FIGURES 2–5. Lithophyllum corallinae. FIGURE 2 in Taxonomy and distribution of non-geniculate coralline red algae (Corallinales, Rhodophyta) on rocky reefs from Ilha Grande Bay, Brazil
FIGURES 2–5. Lithophyllum corallinae. FIGURE 2. External morphology (RB 587132). Scale bar = 1 cm. FIGURE 3. Longitudinal section showing dimerous thallus construction (white arrow) (RB 587133). Scale bar = 100 μm. FIGURE 4. Longitudinal section showing a single layer of rounded to elliptical epithallial cells (e), subepithallial initials (s) and secondary pit connections between adjacent filaments (white arrow) (RB 587133). Scale bar = 20 μm. FIGURE 5. Longitudinal section through a tetrasporangial conceptacle showing the
FIGURE 1 in Taxonomy and distribution of non-geniculate coralline red algae (Corallinales, Rhodophyta) on rocky reefs from Ilha Grande Bay, Brazil
FIGURE 1. Ilha Grande Bay with study sites: Rochedo de São Pedro (1), Parcel dos Meros (2), Flechas Island (3), Ponta do Acaiá (4) Queimada Grande Island (5), Jorge Grego Island (6) and Comprida Island (7).
Data from: Population genomics of the introduced and cultivated Pacific kelp Undaria pinnatifida: marinas — not farms — drive regional connectivity and establishment in natural rocky reefs
Ports and farms are well-known primary introduction hotspots for marine non-indigenous species (NIS). The extent to which these anthropogenic habitats are sustainable sources of propagules and influence the evolution of NIS in natural habitats was examined in the edible seaweed Undaria pinnatifida, native to Asia and introduced to Europe in the 1970s. Following its deliberate introduction 40 years ago along the French coast of the English Channel, this kelp is found in three contrasting habitat types: farms, marinas, and natural rocky reefs. In light of the continuous spread of this NIS, it is imperative to better understand the processes behind its sustainable establishment in the wild. In addition, developing effective management plans to curtail the spread of U. pinnatifida requires determining how the three types of populations interact with one another. In addition to an analysis using microsatellites, we developed, for the first time in a kelp, a ddRAD-sequencing technique to genotype 738 individuals sampled in 11 rocky reefs, 12 marinas, and 2 farms located along ca. 1000 km of coastline. As expected, the RAD-seq panel showed more power than the microsatellite panel for identifying fine-grained patterns. However, both panels demonstrated habitat-specific properties of the study populations. In particular, farms displayed very low genetic diversity and no inbreeding conversely to populations in marinas and natural rocky reefs. In addition, strong, but chaotic regional genetic structure, was revealed, consistent with human-mediated dispersal (e.g., leisure boating). We also uncovered a tight relationship between populations in rocky reefs and those in nearby marinas, but not with nearby farms, suggesting spill-over from marinas into the wild. Finally, a temporal survey (20 generations) showed that wild populations are self-sustaining, without local adaptation to any of the three habitats. These findings highlight that limiting the spread of U. pinnatifida requires management policies that also target marinas.
Figure 3 in A snapshot of a high density seahorse population in a tropical rocky reef
Figure 3. Population parameters of the seahorse H. reidi at all eight sites around Guaíba Island, Mangaratiba, RJ: (a) operational sex ratio; (b) mean heights (cm) and standard deviations; (c) depth (m).
Figure 2 in A snapshot of a high density seahorse population in a tropical rocky reef
Figure 2. Density (ind m−2) of the seahorse H. reidi at all eight sites around Guaíba Island, Mangaratiba, RJ.
Figure 4 in A snapshot of a high density seahorse population in a tropical rocky reef
Figure 4. Frequency of occurrence of the seahorse H. reidi in different holdfasts in Guaíba Island, Mangaratiba, RJ.
Data from: Linking disturbance and resistance to invasion via changes in biodiversity: a conceptual model and an experimental test on rocky reefs
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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
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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.