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Fig. 1 in New Findings Of White Clawed Crayfish, Austropotamobius Pallipes (Decapoda, Astacidae), And Peculiarities Of Its Spatial Distribution In Neretvica (Bosnia And Herzegovina)

Fig. 1. Map of the research area.

Fig. 9 in New Findings Of White Clawed Crayfish, Austropotamobius Pallipes (Decapoda, Astacidae), And Peculiarities Of Its Spatial Distribution In Neretvica (Bosnia And Herzegovina)

Fig. 9. Lowest habitat of the crayfish in the Neretvica.

opencc-by-4.0Apr 2022View details →

Data from: Even low light pollution levels affect the spatial distribution and timing of activity of a "light tolerant" bat species

Abstract of the related publication : By disrupting nocturnal landscapes worldwide, light pollution caused by Artificial Light At Night (ALAN) is recognised as a major threat to biodiversity. As even low light intensities might affect some taxa, concerns are arising about biological responses to widespread low light levels. We used data from a French citizen science bat monitoring program (1,894 full-nights monitored on 1,055 sites) to explore the landscape-scale effects of light on an open-space-foraging bat species, the Serotine bat (Eptesicus serotinus). We assessed this species' abundance and timing of night-time activity (median time of activity) at foraging sites. ALAN, and to a lesser extent moonlight, reduced E. serotinus abundance. ALAN delayed activity, and this delay was amplified during overcast nights. On the contrary, where there was no ALAN, the higher the cloud cover, the earlier the activity occurred. Cloud cover likely darkened the night sky in rural locations, whereas it amplified skyglow in light-polluted places, increasing ALAN effects on bats. Interestingly, moonlight also delayed activity but this effect was weakened where there was ALAN. Our study shows that even fine variations of light levels could affect the spatiotemporal distribution of a common species usually considered to be “light tolerant”, with potential cascading effects on individual fitness and population dynamics. It stresses how urgent it is to preserve and restore dark areas to protect biodiversity from light pollution while working on light intensity and directivity where ALAN is needed.

Fig. 8 in New Findings Of White Clawed Crayfish, Austropotamobius Pallipes (Decapoda, Astacidae), And Peculiarities Of Its Spatial Distribution In Neretvica (Bosnia And Herzegovina)

Fig. 8. Isobath map (depth, m) and isotach map (velocity, m/s) — autumn 2017.

Fig. 2 in New Findings Of White Clawed Crayfish, Austropotamobius Pallipes (Decapoda, Astacidae), And Peculiarities Of Its Spatial Distribution In Neretvica (Bosnia And Herzegovina)

Fig. 2. General view of the confluence of the Prolaz tributary into the Neretvica.

opencc-by-4.0Nov 2017View details →

Fig. 1 in Spatial distribution of gastropods (Mollusca: Gastropoda) from the Kaliningrad Region (Russia) water bodies

Fig. 1. Distribution of sampling stations for gastropods.

opencc-by-4.0May 2024View details →

Data set for the paper "Swimming ability of the Carybdea marsupialis (Cnidaria: Cubozoa: Carybdeidae): implications for its spatial distribution"

This document provides data supporting the results of the scientific paper "Swimming ability of the Carybdea marsupialis (Cnidaria: Cubozoa: Carybdeidae): implications for its spatial distribution". It includes surface current data from the coast of Dénia (Spain) and swimming kinematic parameters.

opencc-by-4.0Jul 2023View details →

The spatial extent and the dispersal strategy of species shape the occupancy frequency distribution of stream insect assemblages

This is the datasets and R script for our  manuscript titled "The spatial extent and the dispersal strategy of species shape the occupancy frequency distribution of stream insect assemblages." Study area and sampling of Mecsek_species_Szivaketal.xlsx data The study area is situated in the Mecsek Mountains in Hungary. Stream insects were collected using the kick and sweep sampling technique. A hand net with a frame width of 25 cm and a mesh size of 1000 µm was employed. The collection involved disturbing an area of 0.25 × 0.25 m. We employed a stratified random multihabitat sampling procedure. We collected 20 sample units from the major microhabitats in proportion to their occurrence within the reaches. Each sample unit was individually processed and sorted in the laboratory to ensure thorough and accurate analysis. Disperse_trait_Szivaketal.xlsx data is based on DISPERSE database (Sarremejane et al., 2020) Methods for microhabitat_coverage_reach_transect.xlsx: Prior to sampling, we divided each 100 m long reach into 20 transects of comparable length and created microhabitat coverage maps. Using these maps, we assessed the proportionate coverage of different microhabitat types within each reach References: Sarremejane, R., Cid, N., Stubbington, R., Datry, T., Alp, M., Cañedo-Argüelles, M., Cordero-Rivera, A., Csabai, Z., Gutiérrez-Cánovas, C., Heino, J., Forcellini, M., Millán, A., Paillex, A., Pařil, P., Polá&scaron;ek, M., Tierno de Figueroa, J. M., Usseglio-Polatera, P., Zamora-Muñoz, C., & Bonada, N. (2020). DISPERSE, a trait database to assess the dispersal potential of European aquatic macroinvertebrates. Scientific Data, 7(1), 386. https://doi.org/10.1038/s41597-020-00732-7

Fig. 4 in Spatial distribution of radar bright band intensity

Fig. 4 ― Variation of BBI and rainfall with latitude in (a) May 2007, and (b) February 2008

Fig. 5 in Spatial distribution of radar bright band intensity

Fig. 5 ― Variation of BBI and rainfall with latitude on (a) 1 March 2007, and (b) 15 January 2008

Fig. 1 in Spatial distribution of radar bright band intensity

Fig. 1 ― (a – l) North-South migration of BBImn with the season

Fig. 2 in Spatial distribution of radar bright band intensity

Fig. 2 ― Occurrence of the monthly average (a) BBImx, and (b) BBImn

Fig. 7 in Spatial distribution of tuna larvae in the Gulf of Gabes (Eastern Mediterranean) in relation with environmental parameters

Fig. 7: Histogram showing the different size class of tuna species with their approximate ages.

Fig. 1 in Spatial distribution of tuna larvae in the Gulf of Gabes (Eastern Mediterranean) in relation with environmental parameters

Fig. 1: Map of the study area focusing on the larval sampling stations in the Gulf of Gabes.

Fig. 4 in Spatial distribution of tuna larvae in the Gulf of Gabes (Eastern Mediterranean) in relation with environmental parameters

Fig. 4: Distribution of stations with classes obtained by the HAC analysis.

Fig. 6 in Spatial distribution of tuna larvae in the Gulf of Gabes (Eastern Mediterranean) in relation with environmental parameters

Fig. 6: Spatial distribution and density of tuna larvae.

opencc-zeroJul 2024View details →

dryad36/100

Spatial distribution pattern of mustelids in the eastern edge of the Qinghai-Tibet plateau

Evolutionary theory predicts that the species of an evolutionarily successful taxon would not overlap in spatial distribution. To test the prediction, we document our research on the spatial associations of mustelids, an evolutionarily successful group of Order Carnivore, using infrared camera trap data on species distribution collected from the national nature reserves of Liancheng, Wolong, Tangjiahe, and Heizhugou in China in 2017-2021. Data showed seven mustelid species occurring in the study area, including Arctonyx collaris, Mele leucurus, Martes foina, Martes flavigula, Mustela altaica, Mustela nivalis, and Mustela sibirica. Following Ricklefs' definition of biological community, we identified five networks of species associations. The mustelids occurred in the networks. Species from the same genus, such as M. foina and M. flavigula, stayed in different networks to avoid competition due to similar feeding habits or habitat preferences. Species with different feeding habits or habitat preferences either occurred in different networks, such as M. altaica and M. flavigula, or coexist in the same networks but avoided direct spatial associations, such as M. foina and A. collaris. Asymmetrical associations were found between different genera, such as M. foina and M. altaica; or between different subfamilies, such as M. flavigula and A. collaris. These associations may be attributed to interspecific killing or seed dispersal. However, these associations accounted for only a small proportion and would not impact the species diversity of Mustelidae. It is thus concluded that the prediction is supported by our research findings and that spatial avoidance may be the biogeographic strategy of maintaining the species diversity of the family. We also found that the well protection of the mustelids may benefit to the overall biodiversity conservation in Heizhugou, an NNR that has experienced severe deforestation.

opencc-by-4.0May 2018View details →

Fig. 5 in Spatial Distribution of Suspended Solids During Short-Term High River Discharge in the Bay of Koper, Northern Adriatic Sea

Fig. 5: Velocity profile at comparison site 2 after a 24-hour simulation on 8th June 2011.

opencc-by-4.0Jul 2024View details →

Quantifying the Spatial Distribution of Fluorescently-Labeled Cell Markers in Stroma-Rich Tumors

Cell measurements (intensity for various compartments, cell morphology, spatial distance from stroma) from image processing of mouse xenograft tumour tissues stained for DAPI, Pan Cytokeratin, Fibronectin, pNDRG1 or Ki67.