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17 results for “Plant–animal interactions”
Plant-animal interactions between carnivorous plants, sheet-web spiders, and ground-running spiders as guild predators in a wet meadow community
<p>Plant-animal interactions are diverse and wide-spread shaping ecology, evolution and biodiversity of most ecological communities. Carnivorous plants are unusual in that they can be simultaneously engaged with animals in multiple mutualistic and antagonistic interactions including reversed plant-animal interactions where they are the predator. Competition with animals is a potential antagonistic plant-animal interaction unique to carnivorous plants when they and animal predators consume the same prey.</p> <p>The goal of this field study was to test the hypothesis that under natural conditions, sundews and spiders are predators consuming the same prey thus creating an environment where interkingdom competition can occur.</p> <p>Over 12 months, we collected data on 15 dates in the only protected Highland Rim Wet Meadow Ecosystem in Kentucky where sundews, sheet-web spiders and ground-running spiders co-exist. One each sampling day, we attempted to locate fifteen sites with: 1) both sheet-web spiders and sundews; 2) sundews only; and where neither occurred. Sticky traps were set at each of these sites to determine prey (springtails) activity-density. Ground-running spiders were collected on sampling days. DNA extraction was performed on all spiders to determine which individuals had eaten springtails and comparing this to the density of sundews where the spiders were captured. </p> <p>Sundews and spiders consumed springtails. Springtail activity-densities were lower the higher the density of sundews. Both sheet-web and ground-running spiders were found less often where sundew densities were high. Sheet-web size was smaller where sundews densities were high. </p> <p>The results of this study suggest that asymmetrical exploitative competition occurs between sundews and spiders. Sundews appear to have a greater negative impact on spiders, where spiders probably have little impact on sundews. In this example of interkingdom competition where the asymmetry should be most extreme, amensalism where one competitor experiences no cost of interaction may be occurring. </p>
Changes in the structure of seed dispersal networks when including interaction outcomes from both plant and animal perspectives
<p>Interaction frequency is the most common currency in quantitative ecological networks, although interaction quality can also affect benefits provided by mutualisms. Here, we evaluate if interaction quality can modify network topology, species' role and whether such changes affect community vulnerability to species loss. We use a well-examined study system (bird-lizard and fleshy-fruited plants in the 'thermophilous' woodland of the Canary Islands) to compare network and species-level metrics from a network based on fruit consumption rates (Interaction Frequency, IF), against networks reflecting functional outcomes: a Seed Dispersal Effectiveness network (SDE) quantifying recruitment, and a Fruit Resource Provisioning network (FRP), accounting for the nutrient supply of fruits. Nestedness decreased in the FRP and the SDE networks, due to the lack of association between fruit consumption rates and (1) nutrient content, and (2) recruitment at the seed deposition sites, respectively. The FRP network showed lower niche overlap due to resource use complementarity among frugivores. Interaction evenness was lower in the SDE network, in response to a higher dominance of lizards in the recruitment of heliophilous species. Such changes, however, did not result in enhanced vulnerability against extinctions. At the plant species level, strength changed in the FRP network in frequently consumed or highly nutritious species. The number of effective partners decreased for species whose seeds were deposited in unsuitable places for recruitment. In frugivores, strength was consistent across networks (SDE vs IF), showing that consumption rates outweighed differences in dispersal quality. In the case of lizards, the increased importance of nutrient-rich species resulted in a higher number of effective partners.</p> <p>Our work shows that although frequency strongly impacts interaction effects, accounting for quality improves our inferences about interaction assembly and species role. Thus, future studies including interaction outcomes from both partners' perspectives will provide valuable insights about the net effects of mutualistic interactions.</p>
Interactions between protea plants and their animal mutualists and antagonists are structured more by energetic than morphological trait matching
<p class="MsoNormal"><span>Traits mediate mutualistic and antagonistic interactions between plants and animals, and should thus be useful for predicting trophic species interactions. Studies to date have examined the importance of morphological trait matching for plant-animal interactions, but have rarely explored the extent to which these interactions are shaped by matching between energetic provisions of plants and energetic demands of animals.</span></p> <p class="MsoNormal"><span>We tested whether energetic and/or morphological trait matching shapes interactions between <em>Protea</em> plant species and their interacting animal mutualists and antagonists in the Cape Floristic Region, South Africa.</span></p> <p class="MsoNormal"><span>We recorded interactions between 22 <em>Protea</em> species, pollinating insects, and vertebrates as well as seed predators (endophagous insect larvae in protea cones) at 21 study sites. To relate species interactions to matching trait pairs, we measured key morphological traits (shape and size of flower heads and seed cones, and mouth part length as well as body length) and quantified the animals' energetic demands (metabolic rate) together with the plants' energetic provisions (nectar sugar amount, seed-to-cone mass ratio). We calculated log ratios of both energetic and morphological traits between animals and plants as predictor variables for the number of observed interactions between <em>Protea</em> species and their animal interaction partners.</span></p> <p class="MsoNormal"><span>For both mutualistic and antagonistic interactions, we found significant effects of morphological and energetic trait ratios on the interactions between plants and animals. Trait ratios accounted for 11% to 22% of the variation in species interactions. Consistent with energetic trait matching, we found a hump-shaped relationship between interaction frequency and log ratios of energetic traits of animals and plants, indicating that interactions were most frequent at intermediate log ratios between energetic demand and provision. Effects of morphological trait ratios on interactions were statistically supported in most cases but were variable in the magnitude and shape of the predicted relationships. </span></p> <p><span>Across animal taxa and interaction types, energetic traits had more consistent effects on interactions between plants and animals than morphological traits. This suggests that energy can function as an important interaction currency and facilitate the understanding and prediction of trophic species interactions.</span></p>
Plant-animal interactions between carnivorous plants, sheet-web spiders, and ground-running spiders as guild predators in a wet meadow community
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Interactions between protea plants and their animal mutualists and antagonists are structured more by energetic than morphological trait matching
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Changes in the structure of seed dispersal networks when including interaction outcomes from both plant and animal perspectives
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Data from: Angiosperm fleshy fruits and seed dispersers: a comparative analysis of adaptation and constraints in plant-animal interactions
Variation in phenotypic traits of angiosperm fleshy fruits has been explained as the result of adaptations to their mutualistic seed dispersers. By analyzing the information available on fleshy fruit characteristics of 910 angiosperm species, I assess the hypothesis of evolutionary association between fruit phenotypic traits and type of seed disperser (birds, mammals, and mixed dispersers) and address explicitly and quantitatively alternative null hypotheses about phylogenetic effects. Phylogenetic affinity among plant taxa is accounted for by comparative methods including nested ANOVA, phylogenetic autocorrelation, and independent contrasts. Averaging over the 16 fruit traits examined, phylogenetic effects down to genus level explain 61% of total variance. Phylogenetic autocorrelations are strong among close relatives, reaching significance for 11 of the 16 fruit traits examined. When assessed by independent contrast methods, correlated evolution between type of disperser and fruit traits is confined to fruit diameter. Differences among dispersal syndromes in other traits vanish after accounting for phylogenetic effects. These analyses reveal that seed dispersal syndromes are not entirely interpretable as current adaptations to seed dispersers. Their status as exaptations can be assessed by combining experimental studies of natural selection on fruit size and rigorous comparative and cladistic tests of adaptational hypotheses.
Data from: Interactive life-history traits predict sensitivity of plants and animals to temporal autocorrelation
Temporal autocorrelation in demographic processes is an important aspect of population dynamics, but a comprehensive examination of its effects on different life-history strategies is lacking. We use matrix populations models from 454 plant and animal populations to simulate stochastic population growth rates (log λs) under different temporal autocorrelations in demographic rates, using simulated and observed covariation among rates. We then test for differences in sensitivities, or changes, of log λs to changes in autocorrelation among two major axes of life-history strategies, obtained from phylogenetically-informed principal component analysis: the fast-slow and semelparous-iteroparous continua. Fast life histories exhibit highest sensitivities to simulated autocorrelation in demographic rates across reproductive strategies. Slow life histories are less sensitive to temporal autocorrelation, but their sensitivities increase among highly iteroparous species. We provide cross-taxonomic evidence that changes in the autocorrelation of environmental variation may affect a wide range of species, depending on complex interactions of life-history strategies.
Fig. 1 in Plant-cyanobacteria interactions: Beneficial and harmful effects of cyanobacterial bioactive compounds on soil-plant systems and subsequent risk to animal and human health
Fig. 1. Cyanobacterial active compounds induce negative, (A) ROS and enzyme activities such as superoxide dismutase (SOD), glutathione peroxidase (GPx), peroxidase (POD); and positive effects (B) expression of stress responsive genes (Ssglc and slr1562) that can have a positive effect on increasing plants' stress tolerance.
Monitoring the birds and the bees: Environmental DNA metabarcoding of flowers detects plant–animal interactions
<p>Animal pollinators are vital for the reproduction of ~90% of flowering plants. However, many of these pollinating species are experiencing declines globally, making effective pollinator monitoring methods more important than ever before. Pollinators can leave DNA on the flowers they visit, and metabarcoding of these environmental DNA (eDNA) traces provides an opportunity to detect the presence of flower visitors. Our study, collecting flowers from seven plant species with diverse floral morphologies, for eDNA metabarcoding analysis, illustrated the value of this novel survey tool. eDNA metabarcoding using three assays, including one developed in this study to target common bush birds, recorded more animal species visiting flowers than visual surveys conducted concurrently, including birds, bees, and other species. We also recorded the presence of a flower visit from a western pygmy possum; to our knowledge, this is the first eDNA metabarcoding study to simultaneously identify the interaction of insect, mammal, and bird species with flowers. The highest diversity of taxa was detected on large inflorescence flower types found on <em>Banksia arborea </em>and <em>Grevillea georgeana</em>. The study demonstrates that the ease of sample collection and the robustness of the metabarcoding methodology have profound implications for future management of biodiversity, allowing us to monitor both plants and their attendant cohort of potential pollinators. This opens avenues for rapid and efficient comparison of biodiversity and ecosystem health between different sites and may provide insights into surrogate pollinators in the event of pollinator declines.</p>
Data from: Angiosperm fleshy fruits and seed dispersers: a comparative analysis of adaptation and constraints in plant-animal interactions
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Data from: Interactive life-history traits predict sensitivity of plants and animals to temporal autocorrelation
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Data from: Non-trophic plant-animal interactions mediate positive density dependence among conspecific saplings
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Monitoring the birds and the bees: Environmental DNA metabarcoding of flowers detects plant–animal interactions
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Data from: Weak olfaction increases seed scatter-hoarding by Siberian chipmunks: implication in shaping plant-animal interactions
Scatter-hoarding of seeds by animals plays an essential role in seed dispersal of plants and in shaping plant–animal interactions in forest ecosystems, but the function of scatter-hoarding behavior is still unclear. We hypothesize that weak olfactory cues between seeds and scatter-hoarding animals would increase scatter-hoarding. Using a rodent–plant system of Siberian chipmunks Tamias sibiricus and Korean pines Pinus koraiensis, we tested the effects on seed scatter-hoarding intensity by measuring and modifying the seed odor intensities and the abilities of the animals to detect seed odor. Siberian chipmunks seemed to scatter-hoard more seeds with weaker odor signals, and Siberian chipmunks with reduced olfactory ability scatter-hoarded more seeds, supporting our hypothesis. Our studies suggest that olfaction may have played an important role in the evolution of the strength of seed odor and scatter-hoarding behavior of animals, and in shaping plant–animal interactions.
Datasets of Fornoni et al. FREQUENCY DEPENDENT SELECTION AND THE EVOLUTION OF RECIPROCAL EXPLOITATION IN PLANT-ANIMAL INTERACTIONS.
<p>Datasets and RMarkdown</p> <p><span lang="EN-GB">Paper title: FREQUENCY DEPENDENT SELECTION AND THE EVOLUTION OF RECIPROCAL EXPLOITATION IN PLANT-ANIMAL INTERACTIONS.</span></p> <p><span lang="EN-GB">Authors: </span><span lang="ES-MX">Juan Fornoni, </span><span lang="EN-GB">Sergio Ramos, Roberto Alvarez-Martínez, Carlos Cordero, </span><span lang="EN-GB">and César A. Domínguez</span></p>
Data from: Weak olfaction increases seed scatter-hoarding by Siberian chipmunks: implication in shaping plant-animal interactions
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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.
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DANDI Archive for NWB datasets
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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.