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50 results for “rock pools”
FIGURE 1 in Three new species of spinicaudatan clam shrimps from Australia, all from gnammas (rock pools)
FIGURE 1. Scanning Electron Micrographs of Eggs. A, B,C, Eulimnadia kimberleyensis sp. nov.; D,E,F, Paralimnadia laharum sp. nov.
FIGURE 4 in Three new species of spinicaudatan clam shrimps from Australia, all from gnammas (rock pools)
FIGURE 4. Paralimnadia laharum sp. nov. Digital images of individuals in AM P101152. A, male whole animal. B, male head. C,male rostrum. D, male telson. E, male clasper 1. F, female whole animal. G, female head and rostrum. H, female telson. J, female posterior dorsum of trunk. Scales as shown for each image.
FIGURE 3 in Three new species of spinicaudatan clam shrimps from Australia, all from gnammas (rock pools)
FIGURE 3. Paralimnadia laharum sp. nov. Drawings of Holotype, Allotype and Paratypes NMV J73116-8. A, male carapace. B male telson. C, male head. D, male Ist clasper with large palp of 2nd clasper alongside. E, male second antenna dorsal flagellum. F, female carapace. G, female telson. H, female head. Scale bars 1 mm.
Rock pools as a source of environmental DNA for the detection of the threatened Pilbara olive python (Liasis olivaceus barroni)
<p>Environmental DNA (eDNA) research is transforming biomonitoring at a global scale, but applicability to reptiles has been restricted because of their presumed low shedding rate. Consequently, eDNA may have considerable limitations as a biomonitoring tool in Australia where 40% of the terrestrial vertebrates are reptiles. However, there is a need to evaluate if method improvements such as targeting certain substrates, improves the ability to detect reptile eDNA. The Pilbara olive python (<em>Liasis olivaceus barroni</em>) is an uncommon and elusive Australian top predator with a high conservation priority. Like many other snake species, Pilbara olive pythons are challenging to monitor with traditional survey methods, therefore exploring an eDNA-based approach is highly relevant. The pythons are known to occasionally reside in rock pools. Thus, development of a reliable eDNA-based approach to detect the pythons in water would provide a needed alternative method. Here we use a previously developed metabarcoding assay targeting reptiles, to sequence a total of 228 water samples collected from 40 rock pools from six broad locations across the Pilbara region of Western Australia, and we confirm the presence of Pilbara olive python eDNA in 37 samples from 12 of those pools at three of the six broad sampling locations. Other vertebrate taxa, including other reptiles, amphibians, mammals and birds were also detected. Our documented ability to detect Pilbara olive python eDNA from rock pool water samples represents an important step towards eDNA-based precision monitoring of this species.</p>
Rock pools as a source of environmental DNA for the detection of the threatened Pilbara olive python (Liasis olivaceus barroni)
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Data from: Evolution of pre-mating reproductive isolation among conspecific populations of the sea rock-pool beetle Ochthebius urbanelliae driven by reinforcing natural selection
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Figure 1 in Homing behaviour of rock pool blenny Parablennius parvicornis (Pisces: Blenniidae)
Figure 1. Geographical location and spatial distribution of pools where individual of Parablennius parvicornis were caught (home pools) and displaced.
FIGURE 1 in On Amphibolocypris arida sp. nov. (Crustacea, Ostracoda), from rock pools in Botswana (southern Africa)
FIGURE 1. Map of the type locality of Amphibolocypris arida sp.nov. (after Jocque et al. 2006).
Taxonomic and functional diversity covary in rock pool microalgal communities despite their different drivers - Environmental and diatom data
<p>We sampled 30 brackish‐watered, isolated rock pools once a month (17 May, 22 June, and 22 July) in 2016 on a granitic outcrop in the western island of Pihlajasaari (66°68′449″N, 38°40′48″E), ca. 2 km south of Helsinki, Finland on the coast of the northern Baltic Sea. We examined the drivers and covariance of taxonomic and functional diversity among the rock pool communities. We measured water pH, conductivity, and temperature in the field, and pool morphometrics (i.e., max depth, length, and width) to the nearest centimeter, and calculated pool area (length * width). We collected a 0.5 L water sample from each pool for the determination of total P (SFS‐EN ISO 2004). We estimated pool X and Y coordinates (based on the perpendicular pool distance from the shore and the horizontal pool distance from the map origin in the southern end parallel to the shoreline, respectively) and mean isolation as a mean Euclidean distance (i.e., the sum of distances to five closest pools divided by five; Vanschoenwinkel et al. 2007) for each pool from a drawn grid map of the study area showing the relative location of the sampled pools to each other and to the seashore.</p> <p>We sampled benthic diatoms by collecting epilithic samples (ca. 25 cm<sup>2</sup>) from each pool bottom with a toothbrush, following EN 13946 standard (2003). A total of 500 valves per sample were counted and identified to the lowest taxonomic level possible (mostly species level) with a light microscope. We created a taxonomic site‐species matrix based on species relative abundances.</p> <p>The identified diatom species were classified into 21 partly overlapping functional groups. We first divided the species into five size classes after their biovolume (determined by cell length, width, thickness, and shape) and 14 life‐form categories after interspecific morphological adaptations to physical and chemical disturbance (i.e., cell motility, posture, and type of adhesion) following Rimet & Bouchez (2012). A single taxon may have various successive life forms and may thus be classified into multiple life‐form categories. We further classified the species after their preferences for nutrient concentration and physical disturbance into four ecological guilds (high profile, low profile, motile and planktonic) after Passy (2007) and Rimet & Bouchez (2012). Finally, we separated between acid‐tolerant (acidobiontic or acidophilus species with pH optimum <7 in Van Dam et al. (1994), and nitrogen‐fixing species (with cyanobacterial endosymbionts capable of fixing atmospheric nitrogen). In the species‐trait matrix, each species belonging to a given guild (other than continuous biovolume guild on a scale 1–5) was given a value of 1; otherwise, the value was set to 0. Each species could be characterized by multiple traits and could thus belong to more than only one guild.</p>
Taxonomic and functional diversity covary in rock pool microalgal communities despite their different drivers - Environmental and diatom data
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