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177 results for “ecological interactions”
Synthetic microbial consortia with programmable ecological interactions
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Raw data for: Novel food resources and conservation of ecological interactions between the Andean Araucaria and the Austral parakeet
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Data for: Fundamental interaction niches: towards a functional understanding of ecological networks’ resilience
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Ecological interactions and genomic innovation fueled the evolution of ray-finned fish endothermy
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Data from: Heterospecific mating interactions as an interface between ecology and evolution
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Interactions between phenanthrene exposure and historical chemical stress: Implications for fitness and ecological resilience of the sentinel species Daphnia magna
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On the de novo emergence of ecological interactions during evolutionary diversification: A conceptual framework and experimental test
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Data and code: Global and regional ecological boundaries explain abrupt spatial discontinuities in avian frugivory interactions
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Data from: Precipitation alters interactions in a grassland ecological community
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Data from: Effects of a heat wave event on the chemical ecology of species interactions in the potato agroecosystem
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Environmental variation and biotic interactions limit adaptation at ecological margins: lessons from rainforest Drosophila and European butterflies
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Data for: Ecological interactions mediate projected loss of kelp biomass under climate change
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Figure 6. Feeding variation during ENSO phenomenon. a in Life is uncertainı eat dessert first: feeding ecology and prey-predator interactions of the coffee snake Ninia atrata
Figure 6. Feeding variation during ENSO phenomenon. a) Linear regression models that relate the number of snakes with stomach content and prey abundance at microhabitats per sampling visit (n = 32). b) t-Test comparing the abundance of snakes with stomach content (n = 314) between good and bad climate years. Box represents the interquartile range, the line across the box indicates the median, the minimal and maximal values are provided with the whiskers.
Figure 4 in Life is uncertainı eat dessert first: feeding ecology and prey-predator interactions of the coffee snake Ninia atrata
Figure 4. Patterns of food intake, fat storage, and body size between sexes. a) The density of individuals with stomach contents tends to increase constantly with the increment of the body size in males. In contrast, the number of females with stomach contents start to grow nearly when their reached size of sexual maturity (>270 mm), before it, females maintain almost the same number of individuals with stomach contents despite their increase in body size (n = 264). b) Fat body area increase with the increment of the body size, being higher in females than males (n = 170). Redline depicts sexual maturity size in females.
Figure 3 in Life is uncertainı eat dessert first: feeding ecology and prey-predator interactions of the coffee snake Ninia atrata
Figure 3. Sexual dimorphism of Ninia atrata. a) Linear regression model of weight versus snout-vent length (SVL) depicting no-significative differences between sexes (n = 425). b) ANCOVA analysis depicting that males have longer heads than females in relation to their weight (n = 170).
Figure 1 in Life is uncertainı eat dessert first: feeding ecology and prey-predator interactions of the coffee snake Ninia atrata
Figure 1. Study area. Oil palm plantation (Elaeis guineensis Jacq 1897) of PALMASOL S.A. Red polygons represent the production batches sampled. Snakes collected from batches 8, 9 and 15 were fixed to perform dissections of their digestive tracts. Snakes from the Batch 13 were employed in the mark-recapture experiments.
Individual differences determine the strength of ecological interactions
<p>Biotic interactions are central to both ecological and evolutionary dynamics. In the vast majority of empirical studies, the strength of intraspecific interactions is estimated by using simple mea- sures of population size. Biologists have long known that these are crude metrics, with experiments and theory suggesting that interactions between individuals should depend on traits, such as body size. Despite this, it has been difficult to estimate the impact of traits on competitive ability from ecological field data, and this explains why the strength of biotic interactions has empirically been treated in a simplistic manner. Using long-term observational data from four different populations, we show that large Trinidadian guppies impose a significantly larger competitive pressure on conspecifics than individuals that are smaller; in other words, competition is asymmetric. When we incorporate this asymmetry into integral projection models, the predicted size structure is much closer to what we see in the field compared with models where competition is independent of body size. This difference in size structure translates into a twofold difference in reproductive output. This demonstrates how the nature of ecological interactions drives the size structure, which, in turn, will have important implications for both the ecological and evolutionary dynamics.</p>
Data from: Incorporating alternative interaction modes, forbidden links and trait-based mechanisms increases the minimum trait dimensionality of ecological networks
<ol> <li>Individual-level traits mediate interaction outcomes and community structure. It is important, therefore, to identify the minimum number of traits that characterise ecological networks, i.e. their 'minimum dimensionality'. Existing methods for estimating minimum dimensionality often lack three features associated with increased trait numbers: alternative interaction modes (e.g. feeding strategies such as active vs. sit-and-wait feeding), trait-mediated 'forbidden links' and a mechanistic description of interactions. Omitting these features can underestimate the trait numbers involved, and therefore, minimum dimensionality. We develop a 'minimum mechanistic dimensionality' measure, accounting for these three features.</li> <li>The only input our method requires is the network of interaction outcomes. We assume how traits are mechanistically involved in alternative interaction modes. These unidentified traits are contrasted using pairwise performance inequalities between interacting species. For example, if a predator feeds upon a prey species via a typical predation mode, in each step of the predation sequence the predator's performance must be greater than the prey's. We construct a system of inequalities from all observed outcomes, which we attempt to solve with mixed integer linear programming. The number of traits required for a feasible system of inequalities provides our minimum dimensionality estimate.</li> <li>We applied our method to 658 published empirical ecological networks including primary consumption, predator–prey, parasitism, pollination, seed dispersal and animal dominance networks, to compare with minimum dimensionality estimates when the three focal features are missing. Minimum dimensionality was typically higher when including alternative interaction modes (54% of empirical networks), 'forbidden interactions' as trait-mediated interaction outcomes (92%), or a mechanistic perspective (81%), compared to estimates missing these features. Additionally, we tested minimum dimensionality estimates on simulated networks with known dimensionality. Our method typically estimated a higher minimum dimensionality, closer to the actual dimensionality, while avoiding the overestimation associated with a previous method.</li> <li>Our method can reduce the risk of omitting traits involved in different interaction modes, in failure outcomes, or mechanistically. More accurate estimates will allow us to parameterise models of theoretical networks with more realistic structure at the interaction outcome level. Thus, we hope our method can improve predictions of community structure and structure-dependent dynamics.</li> </ol>
Ecological fitting is a sufficient driver of tight interactions between sunbirds and ornithophilous plants
<p>1. Plant-bird pollination interactions evolved independently on different continents. Specific adaptations can lead to their restriction when potential partners from distant evolutionary trajectories come into contact. Alternatively, these interactions can be enabled by convergent evolution and subsequent ecological fitting.<br> 2. We studied the interactions between New World plants from the genus Heliconia, Asian plants of genus Etlingera and African sunbirds on a local farm in Cameroon. Heliconia evolved together with hummingbirds and Etlingera spp. with spiderhunters - an oriental subgroup of the sunbird family. <br> 3. Sunbirds fed on all studied plants and individual plant species were visited by a different sunbird spectrum. We experimentally documented a higher number of germinated pollen grains in sunbird visited flowers of Etlingera spp. For Heliconia spp. this experiment was not successful and pollen tubes were rarely observed, even in hand pollinated flowers, where enough pollen was deposited. The analyses of contacts with plant reproductive organs nevertheless confirmed that sunbirds are good pollen vectors for both Heliconia and Etlingera species.<br> 4. Our study demonstrated a high ecological fit between actors of distinct evolutionary history and the general validity of bird-pollination syndrome. We moreover show that trait matching and niche differentiation are important ecological processes also in semi-artificial plant-pollinator systems.</p>
Data from: Hybridization between genetically modified Atlantic salmon and wild brown trout reveals novel ecological interactions
Interspecific hybridization is a route for transgenes from genetically modified (GM) animals to invade wild populations, yet the ecological effects and potential risks that may emerge from such hybridization are unknown. Through experimental crosses, we demonstrate transmission of a growth hormone transgene via hybridization between a candidate for commercial aquaculture production, GM Atlantic salmon (Salmo salar), and closely related wild brown trout (S. trutta). Transgenic hybrids were viable and grew more rapidly than transgenic salmon and other non-transgenic crosses in hatchery-like conditions. In stream mesocosms designed to more closely emulate natural conditions, transgenic hybrids appeared to express competitive dominance and suppressed the growth of transgenic and non-transgenic (wild-type) salmon by 82% and 54%, respectively. To the best of our knowledge, this is the first demonstration of environmental impacts of hybridization between a GM animal and a closely related species. These results provide empirical evidence of the first steps towards introgression of foreign transgenes into the genomes of new species and contribute to the growing evidence that transgenic animals have complex and context-specific interactions with wild populations. We suggest that interspecific hybridization be explicitly considered when assessing the environmental consequences should transgenic animals escape to nature.
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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.