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601 results for “habitat diversity”
Figures 22-28 from: Bahls L, Boynton B, Johnston B (2018) Atlas of diatoms (Bacillariophyta) from diverse habitats in remote regions of western Canada. PhytoKeys 105: 1-186. https://doi.org/10.3897/phytokeys.105.23806
Figures 22-28 Haida Gwaii collection sites in 2017 22–25 Site 7 (6888) 26 Site 8 (6889) 27 Site 9 (6890) 28 Rennell Sound from sample site 9. Photos credit: Beverly Boynton.
Figures 29-35 from: Bahls L, Boynton B, Johnston B (2018) Atlas of diatoms (Bacillariophyta) from diverse habitats in remote regions of western Canada. PhytoKeys 105: 1-186. https://doi.org/10.3897/phytokeys.105.23806
Figures 29-35 Collection sites along the Clearwater River corridor 29 Site 1 (6273) 30, 31 Site 2 (6274) 32 Site 3 (6275) 33, 34 Site 4 (6276) 35 Site 5 (6277). Photos credit: B. Boynton.
Figures 15-21 from: Bahls L, Boynton B, Johnston B (2018) Atlas of diatoms (Bacillariophyta) from diverse habitats in remote regions of western Canada. PhytoKeys 105: 1-186. https://doi.org/10.3897/phytokeys.105.23806
Figures 15-21 Haida Gwaii collection sites in 2013 15 Site 1 (5062) 16 Site 2 (5063) 17, 18 Site 3 (5064) 19 Site 4 (5065) 20 Site 5 (5066) 21 Site 6 (5067). Photo credits: Beverly Boynton, D. Moore (15), Hope Sneller Moore (17).
Figure 2 from: Bahls L, Boynton B, Johnston B (2018) Atlas of diatoms (Bacillariophyta) from diverse habitats in remote regions of western Canada. PhytoKeys 105: 1-186. https://doi.org/10.3897/phytokeys.105.23806
Figure 2 The centrepiece of Waterton Lakes National Park is Waterton Lake, which extends southwards for 11 km from the Prince of Wales Hotel in Alberta, Canada (right centre) to the Goat Haunt Ranger Station at the far end of the lake in Montana, USA (middle distance). Waterton Lake at Goat Haunt is the type locality of Cymatopleura internationale Bahls (2013). Photo credit: Parks Canada.
Figure 1 from: Bahls L, Boynton B, Johnston B (2018) Atlas of diatoms (Bacillariophyta) from diverse habitats in remote regions of western Canada. PhytoKeys 105: 1-186. https://doi.org/10.3897/phytokeys.105.23806
Figure 1 Map of Canada showing diatom collection areas. BB = Baillie and Back Rivers, CM = Coppermine River, CW = Clearwater River, HG = Haida Gwaii, HR = Hood River, WL = Waterton Lakes National Park. Source of base map: www.printablemaps.net
Figure 4 in Earthworm diversity and abundance in different habitats at Satyajit Ray Film and Television Institute, Kolkata
Figure 4 reveals the number of earthworm species recorded in the different habitats during August 2016 – July 2017. The highest number of species (7) was recorded in the residential areas, the least in grassland habitat (4). The number of genera recorded was also highest in the residential areas (5), followed by bank of water bodies (3) and the lowest in grassland (2). The Shannon-Wiener Diversity Index (Shannon H' Log Base 10) value was also the highest in the residential areas (0.832), followed by the bank of water bodies (0.692), while the lowest (0.527) was recorded in grassland habitat (Figure 5). The highest Shannon-Wiener Evenness Index (Shannon J') value was found in the bank of water bodies
Data from: Habitat connectivity and local conditions shape taxonomic and functional diversity of arthropods on green roofs
Summary 1. Increasing development of urban environments creates high pressure on green spaces with potential negative impacts on biodiversity and ecosystem services. There is growing evidence that green roofs – rooftops covered with vegetation – can contribute mitigate the loss of urban green spaces by providing new habitats for numerous arthropod species. 2. Whether green roofs can contribute to enhance taxonomic and functional diversity and increase connectivity across urbanized areas remains, however, largely unknown. Furthermore, only limited information is available on how environmental conditions shape green roof arthropod communities. 3. We investigated the community composition of arthropods (Apidae, Curculionidae, Araneae and Carabidae) on 40 green roofs and 40 green sites at ground level in the city of Zurich, Switzerland. We assessed how the site's environmental variables (such as area, height, vegetation, substrate and connectivity among sites) affect species richness and functional diversity using generalized linear models. We used an extension of co-inertia analysis (RLQ) and fourth-corner analysis to highlight the mechanism underlying community assemblages across taxonomic groups on green roof and ground communities. 4. Species richness was higher at ground-level sites, while no difference in functional diversity was found between green roofs and ground sites. Green roof arthropod diversity increased with higher connectivity and plant species richness, irrespective of substrate depth, height and area of green roofs. The species trait analysis reviewed the mechanisms related to the environmental predictors that shape the species assemblages of the different taxa at ground and roof sites. 5. Our study shows the important contribution of green roofs in maintaining high functional diversity of arthropod communities across different taxonomic groups, despite their lower species richness compared to ground sites. Species communities on green roofs revealed to be characterized by specific trait assemblages. The study also provides details on the environmental conditions that influence arthropod diversity and gives new perspectives on how the design of green roofs can be improved to increase their ecological value. Furthermore, the study highlights the importance of integrating green roofs in planning policies which aim to enhance urban habitat connectivity.
FIGURES 9A. Gloeocapsa compacta. Colony collected from a in How diverse are coccoid cyanobacteria? A case study of terrestrial habitats from the Atlantic Rainforest (São Paulo, Brazil)
FIGURES 9A. Gloeocapsa compacta. Colony collected from a tree bark.
β diversity among ant communities on fragmented habitat islands: the roles of species trait, phylogeny and abundance
<p class="MsoCommentText">Habitat loss and fragmentation reduce biodiversity and alter species composition in local communities. β diversity describes the variation in species composition between or among communities in fragmented landscapes and has two components: species turnover and nestedness. In this study, we assessed β diversity of ant assemblages on 24 island fragments in the Thousand Island Lake, China. We constructed a species-level phylogenetic tree and measured five morphological traits of all ant species captured. We then assessed taxonomic (both incidence-based and abundance-weighted), functional, and phylogenetic β diversity and partitioned β diversity into turnover and nestedness (as well as the contributions of particular species and particular islands). Finally, we examined the relationships between β diversity and a suite of geographical variables (i.e., difference in island area, difference in isolation and inter-island distance) using Mantel tests. We found taxonomic and phylogenetic turnover components dominated overall β diversity whereas the functional turnover and nestedness components contributed equally to overall β diversity. Overall β diversity increased with increasing differences in isolation and inter-island distance, however, only abundance-weighted overall β diversity decreased with increasing differences in island size. Our results indicate that species that were abundant on large islands were also abundant on small islands. We conclude that dispersal limitation of ants likely shapes the pattern of β-diversity along isolation and inter-island distance gradients. Additionally, functional redundancy of species (i.e., different species share similar functional roles) could also explain β-diversity patterns among fragmented habitat islands. Our results highlight the necessity of incorporating both incidence-based and abundance-weighted community data when examining β diversity in fragmented landscapes. By partitioning β diversity into the contributions of particular species and particular fragments, our study implies that small patches can be valuable for maintaining biodiversity among ant communities.</p>
Fig. 6 in Diversity And Assemblage Patterns Of Juvenile And Small Sized Fishes In The Nearshore Habitats Of The Gulf Of Thailand
Fig. 6. Changes in (a) water temperature, (b) pH, (c) DO, (d) salinity and (e) transparency in each habitat during the study period.
Figure 5 from: Jureková N, Raschmanová N, Miklisová D, Kováč Ľ (2021) A comparison of collecting methods in relation to the diversity of Collembola in scree habitats. Subterranean Biology 40: 1-26. https://doi.org/10.3897/subtbiol.40.69808
Figure 5 Vertical distribution of species richness and relative abundances of Collembola life forms along scree profiles recorded by two different methods, Abbreviations: SS – soil samples, ST – subterranean traps, 5, 35, 65, 95 – soil/scree depth [cm], A – atmobionts, EP – epigeonts, H – hemiedaphobionts, EU – euedaphobionts, (for site abbreviations, see the "Material and methods" section).
Figure 6 from: Jureková N, Raschmanová N, Miklisová D, Kováč Ľ (2021) A comparison of collecting methods in relation to the diversity of Collembola in scree habitats. Subterranean Biology 40: 1-26. https://doi.org/10.3897/subtbiol.40.69808
Figure 6 Relationship between the relative abundance and the body length of dominant species for each collecting method (axis 1–species rank follows increasing body size), Abbreviations: SS – soil samples with dotted trend line, ST – subterranean traps with solid trend line (for species abbreviations, see the Appendices 1–5).
Figure 4 from: Jureková N, Raschmanová N, Miklisová D, Kováč Ľ (2021) A comparison of collecting methods in relation to the diversity of Collembola in scree habitats. Subterranean Biology 40: 1-26. https://doi.org/10.3897/subtbiol.40.69808
Figure 4 NMS ordination diagram of collembolan communities at five scree sites collected by two sampling methods; the variance explained by the x and y axes is 55% and 20%, respectively, Abbreviations: s – soil samples, t – subterranean traps, life forms: green – epigeonts, blue – hemiedaphobionts, red – euedaphobionts, (for site abbreviations, see the "Material and methods" section, for species abbreviations see the Appendices 1–5).
Figure 3 from: Jureková N, Raschmanová N, Miklisová D, Kováč Ľ (2021) A comparison of collecting methods in relation to the diversity of Collembola in scree habitats. Subterranean Biology 40: 1-26. https://doi.org/10.3897/subtbiol.40.69808
Figure 3 Rarefaction (solid line) and extrapolation (dotted line) of soil collembolan species richness from soil samples (SS) and sampling using subterranean traps (ST). Reference samples are indicated by solid circles, (for site abbreviations, see the "Material and methods" section).
Figure 2 from: Jureková N, Raschmanová N, Miklisová D, Kováč Ľ (2021) A comparison of collecting methods in relation to the diversity of Collembola in scree habitats. Subterranean Biology 40: 1-26. https://doi.org/10.3897/subtbiol.40.69808
Figure 2 Percentage share of Collembola species numbers and dominance recorded by two techniques at five study sites A species numbers (in columns) associated with the sampling method B relative abundance of species (numbers in columns indicate number of specimens), Abbreviations: SS – exclusively in soil samples, ST – exclusively in subterranean traps, both–shared by both methods (for site abbreviations, see the "Material and methods" section).
Figure 1 from: Jureková N, Raschmanová N, Miklisová D, Kováč Ľ (2021) A comparison of collecting methods in relation to the diversity of Collembola in scree habitats. Subterranean Biology 40: 1-26. https://doi.org/10.3897/subtbiol.40.69808
Figure 1 A Location of the study sites B red ellipse – site with subterranean traps at a scree slope, Abbreviations: A – site near Ardovská jaskyňa Cave (Photo: N. Raschmanová), S – site near Silická ľadnica Ice Cave (Photo: N. Raschmanová), B – site at Borinský kras Karst (Photo: A. Mock), ZA – site at the base of the scree gully in Zádielska tiesňava Valley (Photo: P. Ľuptáčik), ZB – site at the upper part of the scree gully in Zádielska tiesňava Valley (Photo: P. Ľuptáčik) C sampling methods, Abbreviations: SS – soil sampling (Photo: Ľ. Kováč), ST – sampling using subterranean traps (Photo: P. Ľuptáčik).
Dyke demolition led to a sharp decline in waterbird diversity due to habitat quality reduction: a case study of Dongting Lake, China
Dongting Lake, an important wintering habitat for migratory waterbirds in the East Asian–Australasian Flyway, has suffered serious degradation in recent decades. To restore habitats for biodiversity conservation and flood control, 459 dykes were demolished and 14 were preserved in 2017. However, the direct impact of dyke demolition on wintering waterbirds was not comprehensively assessed. In this study, based on annual waterbird census and habitat data (2013/14–2020/21), we compared the differences in habitat areas and species composition of waterbirds in the dyke-demolished and preserved areas, and explored whether habitat changes caused by the dyke demolition were responsible for the changes in the number of species and percentages of waterbird individuals. The results indicate that the areas of water (including shallow water) and mudflat habitats significantly decreased, but the vegetation area significantly increased in the dyke-demolished areas. The species numbers and percentages of waterbird individuals at the community and foraging guilds levels, and the percentages of nine species, were higher in the dyke-preserved areas than those in the dyke-demolished areas. Changes in the numbers of species and percentages of individuals of fish eaters, insectivores, and omnivores positively correlated with drastic changes in the percentages of water habitats (including shallow water) after dyke demolition. Effective measures should be carried out to restore hydrological regimes, providing waterbirds sufficient suitable habitats with different water depths. These findings improve our understanding of the influence of dyke demolition on waterbirds and provide insights for wetland management and waterbird conservation. --
FIGURE 61 in Holoparasitic Orobanchaceae in Georgia (Caucasus): taxonomic revision, diversity, distribution, habitats and host range
FIGURE 61. Distribution of Orobanche javakhetica in Georgia.
FIGURE 57 in Holoparasitic Orobanchaceae in Georgia (Caucasus): taxonomic revision, diversity, distribution, habitats and host range
FIGURE 57. Distribution of Orobanche cicerbitae in Georgia.
FIGURE 47 in Holoparasitic Orobanchaceae in Georgia (Caucasus): taxonomic revision, diversity, distribution, habitats and host range
FIGURE 47. Distribution of Orobanche hederae in Georgia.
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
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.