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10 results for “2003 - 2015”
Major Ion Concentrations in Surface Water Collected from Taylor Slough, Everglades National Park (FCE LTER), Florida, USA, December 2003 – December 2015
This package includes data of concentrations of sodium, potassium, magnesium, calcium, chloride, and sulfate in surface water samples collected from Florida Coastal Everglades Long Term Ecological Research (FCE-LTER) Program sites in Taylor Slough. These sites are TS/Ph1a (2003-2013), TS/Ph2 (2003-2012), and TS/Ph3 (2004-2015). Analyzed samples include composite samples, rainfall samples, and grab samples. Composite samples represent water collected over the course of 3 days by autosamplers programmed to draw 250 mL every 18 hours. Rainfall samples represent water collected by the autosamplers when a threshold of = 2.5 cm of rain per hour is passed. A 500 mL sample is collected 30 minutes after meeting the threshold. Composite and rainfall samples are retrieved every 3-4 weeks and returned to the Florida International University (FIU) Modesto A. Maidique campus. A grab sample is collected at each site during these visits. Cation and anion analysis were completed using ion chromatography on a Dionex DX-120. Sample preparation and analysis for major ions were completed in the Hydrogeology laboratory at FIU. This dataset is completed.
Рис. 1. Брачные крики и их инΑивиΑуаΛьная изменчивость у разных виΑов воΛчков: a — I. m. minutes (Celmins 2008; Bruggen 2017; Maffezzoli 2021); b — I. m. dubius (Graff 2012; Davison 2020); c — I. m. payesii (Hesse 2009; Archer 2019; Cockcroft 2020); d — I. sinensis (Piot 2021; Raveendran 2021; Jeff 2022); e — I. e. exilis (Graves 2021; Overholtz 2021); f — I. e. peruvianus (Moore 2003; Krabbe 2015; Arias 2020); g — I. eurythmus (Mark 1997; Lastukhin 2015; Wulf 2016) Fig. 1. Mating calls and their individual variability in different bittern species: a — I. m.minutes Celmins 2008; Bruggen 2017; Maffezzoli 2021); b — I. m. dubius (Graff 2012; Davison 2020); c — I. m. payesii (Hesse 2009; Archer 2019; Cockcroft 2020); d — I. sinensis (Piot 2021; Raveendran 2021; Jeff 2022); e — I. e. exilis (Graves 2021; Overholtz 2021); f — I. e. peruvianus (Moore 2003; Krabbe 2015; Arias 2020); g — I. eurythmus (Mark 1997; Lastukhin 2015; Wulf 2016) in Call repertoire of Bitterns Ixobrychus in Russian Far East
Рис. 1. Брачные крики и их инΑивиΑуаΛьная изменчивость у разных виΑов воΛчков: a — I. m. minutes (Celmins 2008; Bruggen 2017; Maffezzoli 2021); b — I. m. dubius (Graff 2012; Davison 2020); c — I. m. payesii (Hesse 2009; Archer 2019; Cockcroft 2020); d — I. sinensis (Piot 2021; Raveendran 2021; Jeff 2022); e — I. e. exilis (Graves 2021; Overholtz 2021); f — I. e. peruvianus (Moore 2003; Krabbe 2015; Arias 2020); g — I. eurythmus (Mark 1997; Lastukhin 2015; Wulf 2016) Fig. 1. Mating calls and their individual variability in different bittern species: a — I. m.minutes Celmins 2008; Bruggen 2017; Maffezzoli 2021); b — I. m. dubius (Graff 2012; Davison 2020); c — I. m. payesii (Hesse 2009; Archer 2019; Cockcroft 2020); d — I. sinensis (Piot 2021; Raveendran 2021; Jeff 2022); e — I. e. exilis (Graves 2021; Overholtz 2021); f — I. e. peruvianus (Moore 2003; Krabbe 2015; Arias 2020); g — I. eurythmus (Mark 1997; Lastukhin 2015; Wulf 2016)
BESLTER Permanent Plot vegetation data combined for the survey years of 1998, 2003, and 2015
BESLTER Permanent Plot vegetation data combined for the survey years of 1998, 2003, and 2015. Introduction: Urban forests are often highly fragmented with many exotic species. Altered disturbance regimes and environmental pollutants influence urban forest vegetation. One of the best ways to understand the impacts of urban land-use on forest composition is through long-term research. In 1998, the Baltimore Ecosystem Study (BES) established eight forest plots to investigate the impacts of urbanization on natural ecosystems (Groffman et al. 2006). Four plots were established in urban forest patches and four in rural forests. All eight plots are located within the Baltimore Metropolitan Area. Purpose: Vegetation in the BES long-term plots were sampled in 1998, 2003, and 2015 to understand the influence of urbanization on species abundances and to quantify change in forest composition, diversity, and structure (Groffman et al. 2006 and Templeton 2016). Plot Structure: Six of the plots are 40�40m (1600m2). The Hillsdale 1 and 2 plots are 30�30m (900m2). The Hillsdale plots are smaller to fit within the boundaries of the forest patch. Sites were selected with the following criteria in mind: 1) to represent urban and non-urban forests, 2) away from obvious habitat boundaries or edges, 3) with consistent drainage lines within the plot, and 4) with at least 80% continuous tree canopy. All vegetation layers were sampled in order to characterize the structure and composition of the plant community. Each plot was permanently outlined with metal markers buried at or below the soil line. Between each of the plot corners, metal markers were placed at 10m intervals. The 10m markers divided the plot into 16 10x10m subplots (nine 10x10m subplots at Hillsdale). Each 10x10m subplot was then further divided into four 5x5m subplots. Only one of the four 5x5m subplots in each 10x10m subplot was used for all vegetation sampling below the tree layer. Shrubs and vines were measured along two
Figure 5 from: Conde-Vela VM, Salazar-Vallejo SI (2015) Redescriptions of Nereis oligohalina (Rioja, 1946) and N. garwoodi González-Escalante & Salazar-Vallejo, 2003 and description of N. confusa sp. n. (Annelida, Nereididae). ZooKeys 518: 15-49. https://doi.org/10.3897/zookeys.518.9564
Figure 5 - Nereis confusa sp. n. Holotype A–P (ECOSUR 0174). A Anterior end, dorsal view B Posterior end, dorsal view C Notopodial homogomph falciger, parapodium 72 D Parapodium 2, anterior view E Parapodium 11, anterior view F Parapodium 28, anterior view G Parapodium 51, anterior view H Parapodium 72, anterior view I Left jaw, dorsal view J Supra-acicular homogomph spiniger, parapodium 51 K Sub-acicular heterogomph spiniger from same L Sub-acicular heterogomph falciger from same M Supra-acicular heterogomph falciger, parapodium 72 N Supra-acicular heterogomph falciger from same O Supra-acicular homogomph spiniger from parapodium 51 P Sub-acicular heterogomph spiniger from same. Scale bars: 1 mm (A–B, I); 50 μm (C, J–N); 0.1 mm (D–H); 0.3 mm (O–P).
Figure 3 from: Conde-Vela VM, Salazar-Vallejo SI (2015) Redescriptions of Nereis oligohalina (Rioja, 1946) and N. garwoodi González-Escalante & Salazar-Vallejo, 2003 and description of N. confusa sp. n. (Annelida, Nereididae). ZooKeys 518: 15-49. https://doi.org/10.3897/zookeys.518.9564
Figure 3 - Nereis garwoodi. Lectotype female A–B, D–P (ECOSUR 0065); paralectotype C (ECOSUR 0066). A Anterior end, dorsal view B Posterior end, dorsal view C Notopodial homogomph falciger, parapodium 75 D Parapodium 2, anterior view E Parapodium 9, anterior view F Parapodium 28 G Parapodium 56, anterior view H Parapodium 80, anterior view I Left jaw, dorsal view J Supra-acicular homogomph spiniger, parapodium 80 K Sub-acicular heterogomph spiniger, from same L Supra-acicular heterogomph falciger, parapodium 56 M Supra-acicular heterogomph falciger, parapodium 80 N Sub-acicular heterogomph falciger, from same O Supra-acicular heterogomph spiniger, from same P Sub-acicular heterogomph spiniger, from same. Scale bars: 1 mm (A–B, I); 50 μm (C, J–N); 0.1 mm (D–H); 0.3 mm (O–P).
Figure 6 from: Conde-Vela VM, Salazar-Vallejo SI (2015) Redescriptions of Nereis oligohalina (Rioja, 1946) and N. garwoodi González-Escalante & Salazar-Vallejo, 2003 and description of N. confusa sp. n. (Annelida, Nereididae). ZooKeys 518: 15-49. https://doi.org/10.3897/zookeys.518.9564
Figure 6 - Variation of Nereis species studied. Nereis oligohalina A, D, J–L, O, Q from ECOSUR–OH–P0760. Nereis garwoodi B, E from paralectotype ECOSUR 0066; I, M, R from ECOSUR P2834. Nereis confusa sp. n. C, F–H, N, P from ECOSUR P2838. A–C Pharynges everted, dorsal view D–F Pharynges everted, ventral view G Pharynx everted, anterior view, showing merged paragnaths (arrows) H Close-up of merged paragnaths on area IV I–J Variations on area I K Variations on areas V and VI L Fingerprint-like pattern, dorsal view M–N Pigmentation patterns on anterior ends, dorsal view O Parapodial furrow in posterior end, lateral view (arrow indicates start) P Specimen on tube, dorsal view Q Parapodium from posterior chaetiger, anterior view R Ventral cirrus duplicated, chaetiger 5, anterior view. Scale bars: 0.5 mm (A–F, L); 1 mm (M–P); 0.1 mm (Q–R).
Figure 2 from: Conde-Vela VM, Salazar-Vallejo SI (2015) Redescriptions of Nereis oligohalina (Rioja, 1946) and N. garwoodi González-Escalante & Salazar-Vallejo, 2003 and description of N. confusa sp. n. (Annelida, Nereididae). ZooKeys 518: 15-49. https://doi.org/10.3897/zookeys.518.9564
Figure 2 - Nereis oligohalina. Non-type male A–C, F–J, N (ECOSUR–OH–P0761); non-type partially transformed male D, L–M (ECOSUR P2827); non-type partially transformed female E, K (ECOSUR P2827). A Whole specimen, dorsal view B Anterior end, dorsal view C Posterior end, dorsal view D, E Anterior ends, dorsal view F Parapodium 1, anterior view G Parapodium 6, anterior view H Parapodium 10, frontal view I Parapodium 18, anterior view J Parapodium 31, anterior view K Parapodium 10, anterior view L Parapodium 24, anterior view M Parapodium 52, anterior view N Sesquigomph natatory chaetae, parapodium 31. Scale bars: 1 mm (A, D–E); 0.5 mm (B); 0.2 mm (C); 0.1 mm (F–M); 10 μm (N).
Figure 1 from: Conde-Vela VM, Salazar-Vallejo SI (2015) Redescriptions of Nereis oligohalina (Rioja, 1946) and N. garwoodi González-Escalante & Salazar-Vallejo, 2003 and description of N. confusa sp. n. (Annelida, Nereididae). ZooKeys 518: 15-49. https://doi.org/10.3897/zookeys.518.9564
Figure 1 - Nereis oligohalina. Neotype female A–G (ECOSUR 0172); paraneotypes H–O (ECOSUR 0173). A Anterior end, dorsal view B Posterior end, dorsal view C Parapodium 2, anterior view D Parapodium 10, anterior view E Parapodium 46, anterior view F Parapodium 64, anterior view G Left jaw, dorsal view H Supra-acicular homogomph spiniger, parapodium 40 I Sub-acicular heterogomph spiniger, from same J Supra-acicular homogomph spiniger, from same K Notopodial homogomph falciger, from same L Supra-acicular heterogomph falciger, parapodium 28 M Sub-acicular heterogomph falciger, from same N Notopodial homogomph spiniger, parapodium 40 O Sub-acicular heterogomph spiniger, from same. Scale bars: 1 mm (A); 0.3 mm (B, G); 50 μm (C); 0.1 mm (D–F); 10 μm (H–M); 30 μm (N, O).
Figure 4 from: Conde-Vela VM, Salazar-Vallejo SI (2015) Redescriptions of Nereis oligohalina (Rioja, 1946) and N. garwoodi González-Escalante & Salazar-Vallejo, 2003 and description of N. confusa sp. n. (Annelida, Nereididae). ZooKeys 518: 15-49. https://doi.org/10.3897/zookeys.518.9564
Figure 4 - Nereis garwoodi. Paralectotype male A, C, E, G–K (ECOSUR 0066); paralectotype female B, D, F, L–P (ECOSUR 0066). A, B Anterior ends, dorsal view. C, D Posterior ends, dorsal view E, F Whole specimens, dorsal view G Parapodium 2, anterior view H Parapodium 6, anterior view I Parapodium 10, anterior view J Parapodium 18, anterior view K Parapodium 36, anterior view L Parapodium 2, anterior view M Parapodium 5, anterior view N Parapodium 10, anterior view O Parapodium 26, anterior view P Parapodium 36, anterior view. Scale bars: A–D = 0.5 mm; E–F = 1 mm; G–P = 0.1 mm.
Multi-Dimensional Simulation of the Volumetric Database by Video - Mapping Technology of Sea surface temperature remotley sensed (Algerian basin) ( SST : 2003 - 2007 - 2015 - 2019 ) (L4, MUR,GHRSST)
<p><span>Marine data, which are volumetric data, contain a variety of information about a water body (e.g., seawater temperature, salinity, density, and current) (Feng Zhang et all.,2019),due to its large scale, random variation and multi-resolution in nature, are hard to be visualized and analyzed (Jerry, 2001; Claes, 2004). Moreover, people can not observe the internal characteristics and phenomena of the ocean directly and comprehensively. ‘Digital Ocean’, which emerged after ‘Digital Earth’, focuses on analyzing ocean phenomena and serves for ocean applications. ‘Digital Earth’ is an information system including massive, multi-resolution, multi-temporal marine databases and analysis algorithms (Shi and Lei, 2011). Nowadays, constructing an ocean model and visualizing volumetric data have become some of the most important and critical research topics of ‘Digital Ocean’. The study of marine volumetric data visualization can be valuable in many other research areas (Coelho et al., 2004).</span></p> <p><span>Volume visualization, one of the most important fields of scientific visualization, is the process of generating meaningful and visual information on a two-dimensional image plane from three dimensional datasets. It has been increasingly important in geographical information systems to improve the ocean modeling (Gonzato and Saec, 2000; Djurcilov et al., 2002)</span> </p> <p><strong><span>REF :</span></strong></p> <p><span>Feng Zhang, Ruichen Mao, Zhenhong Du, Renyi Liu,Spatial and temporal processes visualization for marine environmental data using particle system,Computers & Geosciences, Volume 127,2019,Pages 53-64,ISSN 0098-3004,https://doi.org/10.1016/j.cageo.2019.02.012.</span></p> <p><span>Jerry, T., 2001. Simulating ocean water. ACM SIGGRAPH (Special Interest Group on Computer Graphics) 2001 Course Notes, Los Angeles, <a href="http://home1.get.net/tssndrf/"><span>http://home1.get.net/tssndrf/</span></a>.</span></p> <p><span>Claes, J., 2004. Real time water rendering. Master thesis. Department of Computer Science, Lund University</span></p> <p><span>Shi, S. X., and Lei, B., 2011. Theory and Practice on China Digital Ocean. Ocean Press, Beijing, 80-100.</span></p> <p><span><span>Coelho, A., Nascimento, M., Bentes, C., de Castro, M. C. S.,and Farias, R., 2004. Parallel volume rendering for ocean visualization in a cluster of PCS. In: <em>Proceeding of VI Brazilian</em> <em>Symposium on Geoinformatics</em>, Campos do Jordão, São Paulo, Brazil, 22- 24.</span></span></p> <p><span>Gonzato, J. C., and Saec, B. L., 2000. On modeling and rendering ocean scenes. <em>Journal of Visualisation and Computer</em> <em>Animation</em>, <strong>11 </strong>(1): 27-37.</span></p> <p><span>Djurcilov, S., Kim, K., Lermusiaux, P. F. J., and Pang, A., 2002.Visualizing scalar volumetric data with uncertainty. <em>Computers</em> <em>and Graphics</em>, <strong>2 </strong>(26): 239-248.</span></p>
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