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158 results for “invertebrate community”
Figure 4 in Community structure of benthic invertebrates in the Allipén River basin, North Patagonia, Araucania region (38º S, Chile)
Figure 4. Mean abundance (individuals/m2) the families more representative of benthic macroinvertebrates at site 3 Las Hortensias in the Allipen river.
Figure 3 in Community structure of benthic invertebrates in the Allipén River basin, North Patagonia, Araucania region (38º S, Chile)
Figure 3. Mean abundance (individuals/m2) the families more representative of benthic macroinvertebrates at site 2 Huereré in the Allipen river.
Figure 1 in Community structure of benthic invertebrates in the Allipén River basin, North Patagonia, Araucania region (38º S, Chile)
Figure 1. Map of Allipen river, Tolten river basin, La Araucania Region Chile.Where S1 "Melipeuco" (265639 S, 5694829 W), S2: "Huerere" (758774 S- 5681448 W) and S3: "Las Hortensias" (746454 S; 5684086 W) represent the specific sampling stations, respectively.
Figure 2 in Community structure of benthic invertebrates in the Allipén River basin, North Patagonia, Araucania region (38º S, Chile)
Figure 2. Mean abundance (individuals/m2) the families more representative of benthic macroinvertebrates at site 1 Melipeuco in the Allipen river.
Figure 4 in Abrupt boundaries between mountain meadows and forests separate ground-dwelling invertebrate communities: a case study from South Tyrol, Italy
Figure 4. Abundance-based accumulation curves for ground-dwelling macro-invertebrates from montane meadows and mixed forests in South Tyrol, Italy. The data come from pitfall traps along a linear transect from extensively managed hay meadows ('MM' and 'M', squares) across an abrupt ecotone ('E', diamonds) towards mixed forest stands ('F' and 'FF', circles). The curves show from left to right: the sampling coverage, taxa and species richness (Hill number q = 0), Shannon (q = 1) and Simpson diversity (q = 2). Plot [A] shows the total faunal community data at the highest taxonomic resolution, plot [B] the Araneae data at species level.
Figure 3 in Abrupt boundaries between mountain meadows and forests separate ground-dwelling invertebrate communities: a case study from South Tyrol, Italy
Figure 3. Boxplots with jitter of ground-dwelling macro-invertebrate activity densities from montane meadows and mixed forests in South Tyrol, Italy. Each data point represents a pitfall trap along a linear transect starting from extensively managed hay meadows ('MM' and 'M') across an abrupt ecotone ('E') towards mixed forest stands ('F' and 'FF'). Significant differences between the habitat plots (i.e. on the X-axes) according to GLM and Tukey's HSD post-hoc tests are indicated with different letters at top of each plot.
Figure 3 in Comparison of soil invertebrate communities in organic and conventional production systems in Southern Brazil
Figure 3. Non-metric multidimensional scaling (NMDS) plot showing the relationship between macrofauna taxa (black text) and soil chemical and physical properties (red text) of samples taken in four land-use system in Quitandinha, Brazil. NF = Native forest, OH = Organic horticulture, RT = Reduced tillage, CH = Conventional horticulture.
Fig. 5 in Preliminary observations of macrobenthic invertebrates and megafauna communities in the upper mesophotic coral ecosystems in Apo Reef Natural Park, Philippines
Fig. 5. Barplots represent the total species richness across the depths (A) and reef types (B). C and E show the abundance of macrobenthic invertebrates and megafauna, respectively, with their corresponding trophic groups across depths. D and F show the abundance of macrobenthic invertebrates and megafauna, respectively, with their corresponding trophic groups across reef types.
Fig. 3 in Preliminary observations of macrobenthic invertebrates and megafauna communities in the upper mesophotic coral ecosystems in Apo Reef Natural Park, Philippines
Fig. 3. Macrobenthic invertebrate species in Apo Reef Natural Park. A, Holothuria atra; B, Holothuria fuscogilva; C, Thelenota anax; D, Thelenotarubra lineata; E, Thromidia catalai; F, Tridacna sp.; G, Xetospongia sp.
Fig. 2 in Preliminary observations of macrobenthic invertebrates and megafauna communities in the upper mesophotic coral ecosystems in Apo Reef Natural Park, Philippines
Fig. 2. Reef fish and marine reptile megafaunal species in Apo Reef Natural Park. A, Eretmochelys imbricata; B, Bolbometopon muricatum; C, Balistoides viridescens; D, Cheilinus undulatus; E, Caranx melampygus; F, Cephalopholis argus; G, Macolor niger; H, Sphyraena qenie; I, Triaenodon obesus.
Fig. 1 in Preliminary observations of macrobenthic invertebrates and megafauna communities in the upper mesophotic coral ecosystems in Apo Reef Natural Park, Philippines
Fig. 1. Map showing the location of Apo Reef Natural Park in the Philippines, as well as, the study sites that were surveyed in March 2016.
Fig. 4 in Preliminary observations of macrobenthic invertebrates and megafauna communities in the upper mesophotic coral ecosystems in Apo Reef Natural Park, Philippines
Fig. 4. Results of the non-metric multidimensional scaling (nMDS) across depths (A) and reef types (B). Analysis of similarity (ANOSIM) results along with the corresponding p values are included in the plots (A and B). Vectors showing the influence (direction and magnitude) of the different benthic cover on the species composition (C).
Fig. 3 in Recovery Of Litter And Soil Invertebrate Communities Following Swidden Cultivation In Sarawak, Malaysia
Fig. 3. Nonmetric multidimensional scaling (NMDS) analysis of litter (A) and soil (B) invertebrates and relationship (P<0.05) with microhabitat environmental factors in young (Y) and old (O) fallows and primary forest (P). BA: tree basal area; CanopyOpen: canopy openness; MiniDis: the shortest straight distance from each plot to the primary forest of LHNP; TreeSp: observed number of tree species.
Fig. 4 in Recovery Of Litter And Soil Invertebrate Communities Following Swidden Cultivation In Sarawak, Malaysia
Fig. 4. Nonmetric multidimensional scaling (NMDS) analysis of litter (A) and soil (B) termites and relationship (P<0.05) with microhabitat environmental factors in young (Y) and old (O) fallows and primary forest (P). BA: tree basal area; TreeSp: observed number of tree species.
Fig. 1 in Recovery Of Litter And Soil Invertebrate Communities Following Swidden Cultivation In Sarawak, Malaysia
Fig. 1. Individual density distributions of different functional groups in litter (A) and soil (B) within the three forest types. a Significant difference was detected among forest types in litter (P<0.01) and soil (P<0.05).
Fig. 2 in Recovery Of Litter And Soil Invertebrate Communities Following Swidden Cultivation In Sarawak, Malaysia
Fig. 2. Termite frequency distribution of different feeding guilds in litter (A) and soil (B) within the three forest types. a Significant difference was detected among forest types in soil (P<0.05).
Influence of European beech (Fagus sylvatica) rot hole habitat characteristics on invertebrate community structure and diversity - Dataset
<p>The data and R scripts pertinent to the Journal of Insect Science manuscript titled "Influence of European beech (<em>Fagus sylvatica</em>) rot hole habitat characteristics on invertebrate community structure and diversity". Environmental variables are given in "Rot Hole and Site Data", whilst community data are given as counts in "Rot Hole Community Data - counts" and as relative abundance in "Rot Hole Community Data - relative abundances".</p>
Fig 1 in Invertebrate Communities Associated To Parastacus Pugnax (Decapoda, Parastacidae) Northern Patagonian Populations (38° S, Araucania, Chile): A First Exploratory Analysis
Fig 1. Cluster analysis for invertebrate communities reported for sites included in the present study.
Fig. 5 in Aquatic invertebrate communities of perennial pans in Mpumalanga, South Africa: a diversity and functional approach
Fig. 5. RDA tri-plot illustrating the similarities between the various sites (and surveys) and the physicochemical variables. The tri-plot describes 45.3 % of the variation, with 22.3 % being described on the first axis and 23 % on the second axis. Only the taxa of which more than 10 % is explained by the model and the 15 most significant environmental variables are visualised.
Fig. 2 in Aquatic invertebrate communities of perennial pans in Mpumalanga, South Africa: a diversity and functional approach
Fig. 2. MDS ordination of the invertebrate communities (diversity) of the selected pans with similarities based on agglomerative cluster analysis overlain. Numbers 1–9 represent the different pans, while repeated numbers represent the various sampling occasions.
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Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
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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.