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116 results for “sand dune”
Figure 3: Scheme of the procedure adopted for implementing the Sand Dune Acts of 1903/1908, to reclaim the lands affected by sand drifting
<p>Figure 3 of article: Managing Coastal Sand Drift in the Anthropocene: A Case Study of the Manawatū-Whanganui Dune Field, New Zealand, 1800s–2020s</p> <p>DOI zenodo: 10.5281/zenodo.5075980</p>
Spatial data sets of the paper Heinrich Stadial 1 continental sand dunes and Middle to Late Holocene paleosol sequences in SE Iberia: implications for human occupation and site formation processes
<p>Spatial data sets of the paper Heinrich Stadial 1 continental sand dunes and Middle to Late Holocene paleosol sequences in SE Iberia: implications for human occupation and site formation processes. This data set is composed by 3 shapefiles:</p> <ol> <li>Dune_field: Feature class polygon shapefile geometry representing the individual dunes identified in the Villena dune field.</li> <li>Sampled dunes: Shapefile of point geometry representing the location of the stratigraphic sequences of CC1, CC2 and CC3 sampled for texture, soil chemistry, OSL and radiocarbon dating. </li> <li>Sediment sourcing samples: Shapefile of point geometry representing the location of the reference samples of El Moron, El Arenal de la Virgen and Sierra del Castellar. </li> </ol> <p>The spatial reference system is EPSG 25830.</p>
Figure 1 in How extensive is the effect of modern farming on bird communities in a sand dune desert?
Figure 1. Dendrogram of F- and C-transects, using group-average clustering from Bray-Curtis similarities on log-transformed bird abundances. Similarity coefficient in percent.
Elevation Models for Reproducible Evaluation of Terrain Representation – Archetypal Landforms – Great Sand Dunes GeoTIFF
<p>An elevation model of Great Sand Dunes, Colorado, USA</p> <p>Landform features: active dune field, sand sheet, sabkha</p> <p>Resolution: 3.3 meter, 5,300 x 5,300 height samples</p> <p>File format: GeoTIFF</p> <p>This is one model of a set of elevation models: <a href="https://doi.org/10.5281/zenodo.3938020">https://doi.org/10.5281/zenodo.3938020</a>. Please cite the entire set of models.</p> <p>When using this elevation model in an academic publication, please cite the following article, which describes the process and rationale for compiling elevation models:</p> <p><em>Kennelly, P. J., Patterson, T., Jenny, B., Huffman, D. P., Marston, B. E., Bell, S. and Tait, A. M. (2021). Elevation models for reproducible evaluation of terrain representation. Cartography and Geographic Information Science, 48:1, 63–77. DOI: <a href="http://doi.org/10.1080/15230406.2020.1830856">10.1080/15230406.2020.1830856</a></em></p>
The Provincelands of Cape Cod National Seashore, Barnstable County, Massachusetts, USA. The reddish vegetation in the center of the photo is a cranberry (Vaccinium macrocarpon) bog, a wetland used for breeding by the Fowler's toad. The surrounding landscape is ideal for the Fowler's toad and supports one of the largest populations of this species in the United States. The landscape contains a patchwork of sand, pitch pine (Pinus rigida), scrub oak (Quercus ilicifolia), and dune grass (Ammophila breviligulata). Photo by Rebecca Flaherty. in Fowler's Toad (Anaxyrus fowleri) occupancy in the southern mid-Atlantic, USA
The Provincelands of Cape Cod National Seashore, Barnstable County, Massachusetts, USA. The reddish vegetation in the center of the photo is a cranberry (Vaccinium macrocarpon) bog, a wetland used for breeding by the Fowler's toad. The surrounding landscape is ideal for the Fowler's toad and supports one of the largest populations of this species in the United States. The landscape contains a patchwork of sand, pitch pine (Pinus rigida), scrub oak (Quercus ilicifolia), and dune grass (Ammophila breviligulata). Photo by Rebecca Flaherty.
Patterns of island fox habitat use in sand dune habitat on San Clemente Island
<p>On San Clemente Island (SCI), the island fox subspecies (<em>Urocyon littoralis</em><em> clementae</em>) has been monitored annually since 1988 to track long-term population trends. Annual density estimates in most habitat types across the island range from 2–13 foxes/km<sup>2</sup>, yet unusually high estimates have repeatedly approached 50 foxes/km<sup>2 </sup>in a unique sand dune habitat area. Although sand dune habitat is restricted to one small area on the island, these estimates suggest sand dune habitat supports one of the highest population densities of any fox species in the world, and it may support > 5% of the SCI fox population. This finding prompted our investigation to determine if SCI foxes captured in the sand dunes habitat area maintained home ranges within this habitat type. Between January–July 2018, we used Global Positioning System collars to track the movements of 12 island foxes captured in the sand dune habitat area. Contrary to our initial predictions, we found that island foxes captured in the sand dune habitat area do maintain home ranges and core areas centralized in sand dune habitat. All 12 island fox home ranges estimated contained >50% sand dune habitat in either their 50% or 95% fixed kernel density estimate (KDE) home range, and island foxes were 3.14 times more likely to use active sand dune habitat when compared to the second most abundant habitat type, maritime desert scrub (Adjusted = 3.14, 95% CI = 3.07–3.12). We also found that island foxes in sand dune habitat maintained much smaller home ranges than reported estimates in other habitat types, with an average 95% KDE home range size of 0.42 km<sup>2</sup> (95% CI = 0.20–0.63 km<sup>2</sup>). Although sand dune habitat comprises just 2% of available habitat on SCI, our research highlights the importance of this unique habitat area for island foxes.</p>
Fig. 3. Female genitalia. A. Noduliferola abstrusa Kuznetzov, 1973. B. Maliarpha borealis Sasaki, 2012. C. Ectoblemma rosella Sugi, 1982 in New records of five species of Lepidoptera (Cosmopterigidae, Tortricidae, Pyralidae and Erebidae) from sand-dunes along the western coastline of Korea
Fig. 3. Female genitalia. A. Noduliferola abstrusa Kuznetzov, 1973. B. Maliarpha borealis Sasaki, 2012. C. Ectoblemma rosella Sugi, 1982.
Fig. 1. Adult habitus. A. Cosmopterix flavidella Kuroko, 2011, male. B. Noduliferola abstrusa Kuznetzov, 1973, female. C. Maliarpha borealis Sasaki, 2012, male. D. Ectoblemma rosella Sugi, 1982, female. E in New records of five species of Lepidoptera (Cosmopterigidae, Tortricidae, Pyralidae and Erebidae) from sand-dunes along the western coastline of Korea
Fig. 1. Adult habitus. A. Cosmopterix flavidella Kuroko, 2011, male. B. Noduliferola abstrusa Kuznetzov, 1973, female. C. Maliarpha borealis Sasaki, 2012, male. D. Ectoblemma rosella Sugi, 1982, female. E. Metachrostis miasma (Hampson, 1891), male. Scale bars = 4 mm.
Рис. 1. Пункты сбора Staphylinidae на острове Беринга и острове Топорков. 1 – с. НикоΛьское; 2 – окрестности с. НикоΛьское, мыс ВхоΑной Риф; 3–4 – берег и пойма р. Гаванская; 5 – песчаные Αюны межΑу с. НикоΛьским и р. ΑоΑыгинская; 6 – окрестности Северо-ЗапаΑного Λежбища; 7 – Северное Λежбище; 8–9 – окрестности корΑона в бухте Старая Гавань; 10 – бухта Буян и пойма р. Буян; 11 – бухта ПоΛуΑенная, 12 – бухта ПоΑутесная; 13 – о. Топорков; 14 – окрестности аэропорта и поймы р. Каменка; 15 – бухта КоманΑор. Fig. 1. Localities of Staphylinidae on Bering and Toporkov islands. 1 – Nikolskoe vill.; 2 – vicinity of Nikolskoe vill., Cape Vkhodnoy Reef; 3–4 – coast and floodplain of Gavanskaya River; 5 – sand dunes between Nikolskoe vill. and Lodyginskaya River; 6 – vicinity of Northwest rookery; 7 – North rookery; 8–9 – vicinity of Staraya Gavan' Bay; 10 –Buyan Bay and floodplain of Buyan River; 11 – Poludennaya Bay; 12 – Podutesnaya Bay; 13 – Toporkov Island; 14 – vicinity of airport and floodplain of Kamenka River; 15 – Commander Bay. in Materials to the rove beetles fauna (Coleoptera: Staphylinidae) of the Commander Islands (Kamchatka Region, Russia)
Рис. 1. Пункты сбора Staphylinidae на острове Беринга и острове Топорков. 1 – с. НикоΛьское; 2 – окрестности с. НикоΛьское, мыс ВхоΑной Риф; 3–4 – берег и пойма р. Гаванская; 5 – песчаные Αюны межΑу с. НикоΛьским и р. ΑоΑыгинская; 6 – окрестности Северо-ЗапаΑного Λежбища; 7 – Северное Λежбище; 8–9 – окрестности корΑона в бухте Старая Гавань; 10 – бухта Буян и пойма р. Буян; 11 – бухта ПоΛуΑенная, 12 – бухта ПоΑутесная; 13 – о. Топорков; 14 – окрестности аэропорта и поймы р. Каменка; 15 – бухта КоманΑор. Fig. 1. Localities of Staphylinidae on Bering and Toporkov islands. 1 – Nikolskoe vill.; 2 – vicinity of Nikolskoe vill., Cape Vkhodnoy Reef; 3–4 – coast and floodplain of Gavanskaya River; 5 – sand dunes between Nikolskoe vill. and Lodyginskaya River; 6 – vicinity of Northwest rookery; 7 – North rookery; 8–9 – vicinity of Staraya Gavan' Bay; 10 –Buyan Bay and floodplain of Buyan River; 11 – Poludennaya Bay; 12 – Podutesnaya Bay; 13 – Toporkov Island; 14 – vicinity of airport and floodplain of Kamenka River; 15 – Commander Bay.
Global perspectives on sand dune patterns: Scale-adaptable classification using Landsat imagery and deep learning strategies
<p><span>Here we generated the global sand dune pattern map at a resolution of 30 m, named GSDP30. The GSDP30 map encompasses 11 types of sand dune patterns (SDPs): simple crescentic dunes, compound-complex crescentic dunes, simple linear dunes, compound-complex linear dunes, dome dunes, star dunes, parabolic dunes, dendritic dunes, network dunes, sand sheets, and others. The map is divided into 331 Tiff tiles, each characterized by a size of 15,360 × 15,360 pixels and named according to the longitude and latitude coordinates of its upper-left corner.</span></p>
Sand lizards (Lacerta agilis) decrease nymphal infection prevalence for tick-borne pathogens Borrelia burgdorferi sensu lato and Anaplasma phagocytophilum in a coastal dune ecosystem
<p>1. Understanding which factors determine tick-borne disease hazard can contribute to effective disease control. In Europe, the hazard of the pathogens <em>Borrelia burgdorferi</em> s.l. and <em>Anaplasma phagocytophilum</em> is determined by local tick densities (mainly <em>Ixodes ricinus</em>) and the reservoir competence of the host species community. Sand lizards (<em>Lacerta agilis</em>) are common hosts for larvae and nymphs of <em>I. ricinus</em> and non-competent reservoirs for both pathogens. Consequently, high relative abundance of <em>L. agilis</em> is hypothesized to be associated with lower infection prevalence in nymphs. Here, we aimed to test whether this effectively occurs in natural settings.</p> <p>2. We sampled different habitat types within a heterogenous dune landscape at the Dutch coast and estimated 1) <em>L. agilis</em> densities, 2) host community competence, 3) the density and infection prevalence of questing<em> I. ricinus</em> ticks, and 4) the number and infection prevalence of ticks feeding on <em>L. agilis</em>.</p> <p>3. Captured <em>L. agilis</em> had high tick burdens and contributed substantially to feeding <em>I. ricinus</em> larvae in their natural habitat. <em>B. burgdorferi</em> s.l. and <em>A. phagocytophilum</em> were virtually absent from feeding larvae and nymphs.</p> <p>4. The nymphal infection prevalence of both pathogens in questing ticks was lower in habitat types where <em>L. agilis</em> was more abundant. Hence, <em>L. agilis</em> strongly reduced community competence.</p> <p>5. The density of questing nymphs was higher in habitat types with denser vegetation and also varied more between habitat types than infection prevalence. As a result, nymphal density had a stronger effect on the density of infected ticks than did nymphal infection prevalence.</p> <p>6. Synthesis and applications. Coastal dune habitats favourable for <em>L. agilis</em> have lower densities of questing nymphs, and a lower human infection hazard. These results might be applicable to similar ecosystems where <em>L. agilis</em> is present. From a public health perspective, this underlines the importance of preserving early successional habitat, as encroaching shrubs are associated with higher tick-borne disease hazard, and vegetation removal might be a solution to reduce hazard in coastal dunes. The high degree of spatial heterogeneity in the abundance of tick-borne pathogens also poses opportunities to manage recreational activities to limit human exposure to tick-borne diseases.</p>
Fig. 1 in Adaptations of tenebrionid beetles to Mediterranean sand dune environments and the impact of climate change (Coleoptera: Tenebrionidae)
Fig. 1 – Relationship between activity and temperature in some tenebrionid species in Palestine investigated by Bodenheimer (1934). Activity intensity is expressed by the following rank scale: (1) cold-torpor, (2) only weak, occasional movements of legs and antennae, (3) crawling with interruptions, (4) normal activity, (5) high activity, (6) excited activity, (1) heat-torpor, (0) heat-death. Redrawn from Fattorini (2008) with corrections. Inset: Zophosis punctata (photo S. Fattorini).
Fig. 2 in Adaptations of tenebrionid beetles to Mediterranean sand dune environments and the impact of climate change (Coleoptera: Tenebrionidae)
Fig. 2 – Diel and monthly activity patterns of tenebrionid beetles of Mediterranean dunes. A, diel activity of Erodius siculus in Latium (Central Italy) in May 1997; B, diel activity of Pimelia bipunctata in Latium (Central Italy) in March 1997; C, diel activity of Pimelia bipunctata in the same locality in May 1997. In these experiments, activity was measured as number of individuals intercepted by pitfall traps per hour in single days. After counting, beetles were immediately released. N: number of trapped individuals per hour. Ta: ambient temperature (°C), Ti: soil internal (3-4 cm depth) temperature (°C), Ts: soil surface temperature (°C). D, Phenological patterns of Erodius siculus in Latium (Central Italy) and Sicily (Southern Italy). Phenologies are expressed as number of locations in which the species has been recorded in each month over a period of a century (from 1897 to 1997). A and D are based on Di Stefano & Fattorini (2002). B and C are based on Fattorini & Di Stefano (2004). Photos: courtesy of L. Di Biase.
Airflow dynamics and aeolian sand transport across a beach-climbing dune-clifftop dune system
<p>This study presents an analysis of wind flow and sediment transport from the beach, up a 50m high, long (130m), steep (mean slope 26°) climbing dune and across a 1.5 m high max, 85 m long and 17.5 m wide clifftop dune 30km south of Dakhla in Morocco, NW Africa during highly oblique incident wind conditions. Multiple 2D sonic and cup/vane anemometers and sand traps were utilised for measurements. Flow steering was significant on the upper climbing dune. Flow deceleration occurred near the dune toe, and topographic forcing of flow was considerable on the upper slopes of the climbing dune. Near-surface flow steadiness (CV<sub>U1</sub>, CV<sub>U0.25</sub>) on the climbing dune straight slope segment was low and constant The distance upslope over which the airflow reached the speed comparable to that on the beach increases as the incident wind speed increases. The greatest flow acceleration and speed-up was observed at the cliff edge reaching 250% at 1m height and 220% at 0.25m height for the lowest incident wind speed class (4-5 m/s). The sand transport rate declined from the beach to the climbing dune toe and lower slope, but at the uppermost section of the climbing dune was 4 times higher than at the beach for the 7-8m/s incident wind speed. Sand in aeolian transport was generally finer than surface sand with mean grain size increasing up the slope. A comparison of the sand transport data collected with sand transport models, and the effects of slope on aeolian transport are also examined.</p>
Patterns of island fox habitat use in sand dune habitat on San Clemente Island
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Sand lizards (Lacerta agilis) decrease nymphal infection prevalence for tick-borne pathogens Borrelia burgdorferi sensu lato and Anaplasma phagocytophilum in a coastal dune ecosystem
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Image 4 in Coastal sand dune flora in the Thoothukudi District, Tamil Nadu, southern India
Image 4. Citrullus colocynthes
Image 6 in Coastal sand dune flora in the Thoothukudi District, Tamil Nadu, southern India
Image 6. Gisekia pharnaceoides
Image 3 in Coastal sand dune flora in the Thoothukudi District, Tamil Nadu, southern India
Image 3. Bulbostylis barbata
Image 8 in Coastal sand dune flora in the Thoothukudi District, Tamil Nadu, southern India
Image 8. Pedalium murex
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