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Fig. 3 in Complex interactions within the ectoparasite community of the eastern rock sengi (Elephantulus myurus)
Fig. 3. Relationships between the abundance of (a) Rc. nuttalli and (b) Ixodes spp. and the abundance of Rhipicephalus spp. and the (c) abundance of Rc. nuttalli and the chigger abundance when only first captures are considered.
Fig. 2 in Complex interactions within the ectoparasite community of the eastern rock sengi (Elephantulus myurus)
Fig. 2. Effects of antiparasite treatment in the three study years on the abundance of (a) Rhipicephalus spp., (b) Rc. nuttalli and (c) chiggers. Displayed are means ± SE. Open bars indicate untreated and filled bars treated animals.
Fig. 1 in Complex interactions within the ectoparasite community of the eastern rock sengi (Elephantulus myurus)
Fig. 1. Seasonal variation in the (a) prevalence of Rhipicephalus spp. as well as the abundance of (b) R. warburtoni/arnoldi, (c) chiggers and (d) other Rhipicephalus spp. on sengis in Telperion/Ezemvelo Nature Reserve between study years. Displayed are means ± SE. Open bars indicate the first, grey bars the second and black bars the third study year.
Fig. 4 in Complex interactions within the ectoparasite community of the eastern rock sengi (Elephantulus myurus)
Fig. 4. Relationships between the abundance of (a) R. warburtoni/arnoldi on the other Rhipicephalus spp. abundance, (b) other Rhipicephalus spp. on the abundance of chiggers, (c) Rc. nuttalli on the abundance of Ixodes spp. and (d) fleas on the abundance of R. warburtoni/arnoldi when all capture data are considered.
Fig. 3 in Aggregation and negative interactions in low-diversity and unsaturated monogenean (Platyhelminthes) communities in Astyanax aeneus (Teleostei) populations in a neotropical river of Mexico
Fig. 3. Relationship between component community monogenean species richness and mean infracommunity species richness; A) total samples; B) samples of February; C) samples of August.
Fig. 1 in Aggregation and negative interactions in low-diversity and unsaturated monogenean (Platyhelminthes) communities in Astyanax aeneus (Teleostei) populations in a neotropical river of Mexico
Fig. 1. Eleven sample locations situated on the opening of streams tributaries to the main Rio Lacantún in the Biosphere Reserve Montes Azules (RBMA), Chiapas, México: (1) Río Tzendales (16̊17′ 10.8″ N; 90̊53′12.6″ W), (2) Río Manzanares (16̊10′14.6″ N; 90̊50′36.2″ W), (3) Arroyo Miranda (16̊08′08.1″ N; 90̊55′14.9″ W), (4) Río Danta (16̊09′08.1″ N; 90̊54′06.3″ W), (5) Arroyo Lagarto (16̊08′14.0″ N; 90̊54′24.4″ W), (6) Embarcadero Estación Chajul (16̊06′38.4″ N; 90̊56′ 23.6″ W), (7) Arroyo José (16̊06′50″ N; 90̊56′03.3″ W), (8) Río Chajul (16̊05′58.2″ N; 90̊57′30.1″ W), (9) Río San Pablo (16̊06′ 10.0″ N; 91̊00′52.2″ W), (10) Río Puerto Rico (16̊05′04.4″ N; 91̊01′11.2″ W), (11) Río Ixcan (16̊07′17.5″ N; 91̊05′11.3″ W).
Interspecific social interactions shape public goods production in natural microbial communities
<p>The R code (Hesse_etal.R) descibes step by step how metal polution affects the ecology and evolution of a community-wide public good – the production of metal-detoxifying siderophores. This code accompanies the manuscript "Interspecific interactions shape public goods production in natural microbial communities" (https://www.biorxiv.org/content/10.1101/710715v1).</p> <p>The R code is divided into different sections per figure (1-5 and supplementary Figure S1). Each section first starts with reading in the appropriate data files (cvs files) and continues with statistics and plotting of figures.</p>
Figure 5 in Interactions between environmental factors and the mesozooplankton community from the Romanian Black Sea waters
Figure 5. Analysis of the main components (PCA) for the environmental factors from the Romanian Black Sea, by sector and season, 2013–2020.
Figure 6 in Interactions between environmental factors and the mesozooplankton community from the Romanian Black Sea waters
Figure 6. Statistically significant correlation (p <0.05) between the mesozooplankton groups and environmental factors grouped by isobaths, 2013–2020.
Experimental evaluation of how biological invasions and climate change interact to alter the vertical assembly of an amphibian community
<ol> <li>While biotic-abiotic interactions are increasingly documented in nature, a process-based understanding of how such interactions influence community assembly is lacking in the ecological literature. Perhaps the most emblematic and pervasive example of such interactions is the synergistic threat to biodiversity posed by climate change and invasive species. Invasive species often out-compete or prey on native species. Despite this long-standing and widespread issue, little is known about how abiotic conditions, such as climate change, will influence the frequency and severity of negative biotic interactions that threaten the persistence of native fauna.</li> <li>Treefrogs are a globally diverse group of amphibians that climb to complete life-cycle processes, such as foraging and reproduction, as well as to evade predators and competitors, resulting in frog communities that are vertically partitioned. Furthermore, treefrogs adjust their vertical position to maintain optimal body temperature and hydration in response to environmental change. Here, utilizing this model group, we designed a novel experiment to determine how extrinsic abiotic and biotic factors (changes to water availability and an introduced predator, respectively) interact with intrinsic biological traits, such as individual physiology and behavior, to influence treefrogs’ vertical niche. </li> <li>Our study found that treefrogs adjusted their vertical niche through displacement behaviors in accordance with abiotic resources. However, biotic interactions resulted in native treefrogs distancing themselves from abiotic resources to avoid the non-native species. Importantly, under altered abiotic conditions, both native species avoided the non-native species – more than they avoided their native counterpart. Additionally, exposure to the non-native species resulted in native species altering their tree climbing behaviors by and becoming more vertically dynamic to avoid the non-native antagonist.</li> <li>Our experiment determined that vertical niche selection and community interactions were most accurately represented by a biotic-abiotic interaction model, rather than a model that considers these factors to operate in an isolated (singular) or even additive manner. Our study provides evidence that native species may be resilient to interacting disturbances via physiological adaptations to local climate and plasticity in space-use behaviors that mediate the impact of the introduced predator. </li> </ol>
Experimental heatwaves and warming induce distinctive community responses through their interactions with a novel species
<p>This repository provides the data for the manuscript "experimental heatwaves and warming induce distinctive community responses through their interactions with a novel species"</p> <p>As the climate warms, species shift their distributions at different rates, re-organising ecological communities. The resulting novel interactions will shape the local community’s response to ongoing climate change. The distinction between extreme events and a rising mean temperature in driving range expansion of the neighbouring species has not been examined empirically, nor has the resulting ecological impact propagating through multi-trophic networks been addressed.</p> <p>In this study, we recreated a high-elevation host-parasitoid community comprising Drosophila species and their associated parasitoid species from the Australian Wet Tropics, and subjected them to either heatwaves or warming in combination with the introduction of a low-elevation-specific Drosophila species. This dataset contains three groups of measurements:</p> <p>1. Single-generation reproductive success of each species at various sampling times (about every 3 weeks) throughout the initiation and maintenance of the community.</p> <p>2. Population size of each species before the community was terminated.</p> <p>3. One-day reproductive success of each species before, during, and after the last heatwave event.</p>
Implementation of biotic interactions in niche analyses unravels the patterns underneath community composition in clownfishes
<p><span>Biotic interactions are key to understanding the ecology of species and communities. As such, integrating biotic interactions into ecological niche modelling methods has been a central topic of research for the last decade. Yet, the role of biotic interactions remains overlooked. Mutualistic systems constitute perfect study cases for analysing the effect of biotic interactions on species niches and</span><span> comm</span><span>unities' </span><span>composition. Using the clownfish-sea anemone interaction, we integrate mutualistic interactions into a niche quantification framework to analyse the effect of biotic interactions in the estimation of species niches, and competition patterns among clownfish communities. Our results show that ignoring biotic interactions can strongly affect species' ecological niche estimations. More importantly, sea anemones seem to mediate competition among clownfishes, structure communities and allow coexistence in competitive environments. These findings strongly support the importance of biotic interactions in shaping communities. Future studies could use the proposed analytical framework, which could also serve multiple conservation purposes.</span></p>
Interaction matters: Bottom-up driver interdependencies alter the projected response of phytoplankton communities to climate change, links to model results
<p>This dataset provides the output of ten model simulations with the global ocean biogeochemical model FESOM-REcoM necessary to reproduce the findings of Seifert et al. (2023). In addition to information on the mesh, the dataset contains 5-year means of global phytoplankton biomass, chlorophyll, net primary production, growth rates, limitations, carbonate system parameters (dissolved inorganic carbon, CO2 partial pressure, total alkalinity), temperature, photosynthetically active radiation, and mixed layer depths.</p> <p>File names refer to the figures in the paper where the respective data are used. See “readme” for detailed information on the dataset and separate files.</p>
Predator home range size mediates indirect interactions between prey species in an arctic vertebrate community
<ol> <li>Indirect interactions are widespread among prey species that share a common predator, but the underlying mechanisms driving these interactions are often unclear, and our ability to predict their outcome is limited. </li> <li>Changes in behavioural traits that impact predator space use could be a key proximal mechanism mediating indirect interactions, but there is little empirical evidence of the causes and consequences of such behavioural-numerical response in multi-species systems. </li> <li>Here, we investigate the complex ecological relationships between seven prey species sharing a common predator. We used a path analysis approach on a comprehensive 9-year dataset simultaneously tracking predator space use, prey densities, and prey mortality rate on key species of a simplified Arctic food-web. </li> <li>We show that high availability of a clumped and spatially predictable prey (goose eggs) leads to a two-fold reduction in predator (arctic fox) home range size, which increases local predator density and strongly decreases nest survival of an incidental prey (American golden plover). On the other hand, a scattered cyclic prey with potentially lower spatial predictability (lemming) had a weaker effect on fox space use and an overall positive impact on the survival of incidental prey.</li> <li>These contrasting effects underline the importance of studying behavioural responses of predators in multi-prey systems and to explicitly integrate behavioural-numerical responses in multi-species predator-prey models.</li> </ol>
Data and analytical codes for: Learning beyond-pairwise interactions enables the bottom-up prediction of microbial community structure
<p>Data and analytical codes for: Ishizawa et al. (2023) Learning beyond-pairwise interactions enables the bottom-up prediction of microbial community structure, bioRxiv, 2023.07.04.546222</p> <p> https://www.biorxiv.org/content/10.1101/2023.07.04.546222v1</p> <p> </p>
Evolution in interacting species alters predator life history traits, behavior and morphology in experimental microbial communities
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Data from: Biodiversity forecasting in natural plankton communities reveals temperature and biotic interactions as key predictors
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Data from: Strain identity effects contribute more to Pseudomonas community functioning than strain interactions
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Integrating biotic interactions in niche analyses unravels patterns of community composition in clownfishes
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Accounting for environmental variation in co‐occurrence modelling reveals the importance of positive interactions in root‐associated fungal communities
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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.