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Figure 3 in Changes in galling insect community on Caryocar brasiliense trees mediated by soil chemical and physical attributes
Figure 3. Principal components regressions among: (A) abundance of parasitoids (A.P.) with abundance of galling insects (A.G.I.); (B) species richness of parasitoids (S.R.P.) with pH in water, species richness of galling insects (S.R.G.I.), and sand (dag kg-1) (Sa.); (C) diversity of parasitoids (D.P.) with diversity of galling insects (D.G.I.), silt (dag kg-1) (Si.), and clay (dag kg-1) (Cl.); (D) Sycophila sp. adults (Syc.) with Eurytoma sp. galling insect adults (Eur.) and Ablerus magistretti adults (Ama.); and (E) Ama. with Eur., phosphorus-Mehlich 1 (mg dm-3) contents (P.C.), Si., Syc., aluminum (cmol dm-3) contents (A.C.), and pH on Caryocar brasiliense trees in three years. The c symbols represent the averages and the bars the standard errors. n = 111.
Supplementary material 1 from: Theissinger K, Kästel A, Elbrecht V, Makkonen J, Michiels S, Schmidt S, Allgeier S, Leese F, Brühl C (2018) Using DNA metabarcoding for assessing chironomid diversity and community change in mosquito controlled temporary wetlands. Metabarcoding and Metagenomics 2: e21060. https://doi.org/10.3897/mbmg.2.21060
We provide all information regarding the library preparation.
Supplementary material 2 from: Theissinger K, Kästel A, Elbrecht V, Makkonen J, Michiels S, Schmidt S, Allgeier S, Leese F, Brühl C (2018) Using DNA metabarcoding for assessing chironomid diversity and community change in mosquito controlled temporary wetlands. Metabarcoding and Metagenomics 2: e21060. https://doi.org/10.3897/mbmg.2.21060
Pipeline used for bioinformatic processing of metabarcoding data in Theissinger et al.
Figure 3 from: Razo-León AE, Vásquez-Bolaños M, Muñoz-Urias A, Huerta-Martínez FM (2018) Changes in bee community structure (Hymenoptera, Apoidea) under three different land-use conditions. Journal of Hymenoptera Research 66: 23-38. https://doi.org/10.3897/jhr.66.27367
Figure 3 Residual analysis with Pearson's chi-squared test to compare independence between bee family and land use conditions.
FIGURE 1 in Change In The Meiofauna Community Structure Of Sandy Beaches Of The Nuevo Gulf (Chubut, Argentina
FIGURE 1: Location of study area in sandy beaches of Nuevo Gulf, showing the sampling sites (●).
Figure 4 in Organic farming and moderate tillage change the dominance and spatial structure of soil Collembola communities but have little effects on bulk abundance and species richness
Figure 4. Spatial random effects explaining abundance, number of species and Berger-Parker index in samples in different management types. Grayscale palette shows scales (meters, 25cm-plots, 7-cm plots). Barplots show Tau parameter of the (spatial) random effects; mixed-effects models were run in each management type separately.
Figure 1 in Organic farming and moderate tillage change the dominance and spatial structure of soil Collembola communities but have little effects on bulk abundance and species richness
Figure 1. Location of the fields studied with different treatments: ODISK (Organic farming and Disking - C and D circles), OTILL (Organic farming and Tillage - A and Bsquares), and CONV (Conventional farming - E and F triangles). Coordinates of locations: A: N 54.482 E 34.928, B: N 54.496 E 34.933, C: N 54.543 E 34.880, D: N 54.555 E 34.996, E: N 54.585 E 35.0187, F: N 54.570 E 34.974. The altitude was from 175 to 234 m above sea level depending on the field.
Figure 2 in Organic farming and moderate tillage change the dominance and spatial structure of soil Collembola communities but have little effects on bulk abundance and species richness
Figure 2. Spatially nested hierarchical sampling design. In total, 486 samples were collected from 6 fields across 3 management types.
Data from: Changes in ectomycorrhizal fungal community composition and declining diversity along a 2-million-year soil chronosequence
Ectomycorrhizal (ECM) fungal communities covary with host plant communities along soil fertility gradients, yet it is unclear whether this reflects changes in host composition, fungal edaphic specialization or priority effects during fungal community establishment. We grew two co-occurring ECM plant species (to control for host identity) in soils collected along a 2-million-year chronosequence representing a strong soil fertility gradient and used soil manipulations to disentangle the effects of edaphic properties from those due to fungal inoculum. Ectomycorrhizal fungal community composition changed and richness declined with increasing soil age; these changes were linked to pedogenesis-driven shifts in edaphic properties, particularly pH and resin-exchangeable and organic phosphorus. However, when differences in inoculum potential or soil abiotic properties among soil ages were removed while host identity was held constant, differences in ECM fungal communities and richness among chronosequence stages disappeared. Our results show that ECM fungal communities strongly vary during long-term ecosystem development, even within the same hosts. However, these changes could not be attributed to short-term fungal edaphic specialization or differences in fungal inoculum (i.e. density and composition) alone. Rather, they must reflect longer-term ecosystem-level feedback between soil, vegetation and ECM fungi during pedogenesis.
Figure 5 from: Riley K, Browne R (2011) Changes in ground beetle diversity and community composition in age structured forests (Coleoptera, Carabidae). ZooKeys 147: 601-621. https://doi.org/10.3897/zookeys.147.2102
Figure 5 - Relative abundance across the forest age gradient for a representative species from each of the indicator classes (see text for definitions of indicator classes).
Figure 4 from: Riley K, Browne R (2011) Changes in ground beetle diversity and community composition in age structured forests (Coleoptera, Carabidae). ZooKeys 147: 601-621. https://doi.org/10.3897/zookeys.147.2102
Figure 4 - Proportions of carabid populations brachypterous and macropterous for five forest age classes. Significant differences occurred for all forest age classes except the zero age class (χ2 < 0.05).
Figure 3 from: Riley K, Browne R (2011) Changes in ground beetle diversity and community composition in age structured forests (Coleoptera, Carabidae). ZooKeys 147: 601-621. https://doi.org/10.3897/zookeys.147.2102
Figure 3 - Results of Non-Metric Multidimensional Scaling (NMDS) analysis for 33 study sites. The analysis was based on the 17 most common carabid beetle species from five forest age classes (0, 10, 50, 85, and 150 years). Each the five polygons represent different forest age classes, as indicated by different symbols.
Figure 2 from: Riley K, Browne R (2011) Changes in ground beetle diversity and community composition in age structured forests (Coleoptera, Carabidae). ZooKeys 147: 601-621. https://doi.org/10.3897/zookeys.147.2102
Figure 2 - Carabid beetle species accumulation curves for five forest age classes. Vertical line indicates species richness of each curve at n = 233 individuals.
Impacts of climate-driven changes in habitat phenology on dynamics of niche overlaps and spatial associations in a boreal waterbird community
<p>A fundamental, yet little explored question is if climate change has affected niche relationships and spatial associations of native non-invasive species in established local communities, potentially affecting interspecific interactions and community organization. Here, long-term (1991–2020) changes in habitat niche overlaps (HNO) and spatial associations (SA) were studied in relation to climate-driven changes in habitat phenology in a community of eight migratory waterbird species breeding on 37 lakes in southeastern Finland.</p> <p>Overall timing of ice-out (IOD) and within-season variation in the timing of ice-out (standard deviation of IOD; SDIOD) in lakes determine habitat availability for waterbirds during the settling phase. Previous work has documented that IOD has advanced and SDIOD increased during the study period, with species responding differently to these changes in their habitat use.</p> <p>HNO and SA varied considerably in the 28 species pairs during the study period. The effect of IOD and SDIOD on that variation was generally small. However, the direction and magnitude of the effects of IOD and SDIOD on HNO and SA varied considerably among the species pairs. Overall differences in the direction and magnitude of the effect sizes suggested that the impacts of IOD and SDIOD on HNO and SA were stronger in species pairs in which the species were more similar in terms of settling phenology and stronger for early settling species than for late settling species. Observed changes in niche relationships probably reflect changes in interspecific interactions and affect the possibilities for heterospecific information use in habitat selection. </p>
Data from: Nitrogen deposition magnifies the sensitivity of desert steppe plant communities to large changes in precipitation
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Data from: Coping with multiple enemies: pairwise interactions do not predict evolutionary change in complex multitrophic communities
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Fine-scale root community structure in the field: species aggregations change with root density
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Changes in stream food web structure across a gradient of acid mine drainage increases local community stability
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Biotic homogenisation in bird communities leads to large-scale changes in species associations
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Data and code from: Accounting for species interactions is necessary for predicting how arctic arthropod communities respond to climate change
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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.