7 research outputs found

    Data from: A shift from exploitation to interference competition with increasing density affects population and community dynamics

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    Intraspecific competition influences population and community dynamics and occurs via two mechanisms. Exploitative competition is an indirect effect that occurs through use of a shared resource and depends on resource availability. Interference competition occurs by obstructing access to a resource and may not depend on resource availability. Our study tested whether the strength of interference competition changes with protozoa population density. We grew experimental microcosms of protozoa and bacteria under different combinations of protozoan density and basal resource availability. We then solved a dynamic predator–prey model for parameters of the functional response using population growth rates measured in our experiment. As population density increased, competition shifted from exploitation to interference, and competition was less dependent on resource levels. Surprisingly, the effect of resources was weakest when competition was the most intense. We found that at low population densities, competition was largely exploitative and resource availability had a large effect on population growth rates, but the effect of resources was much weaker at high densities. This shift in competitive mechanism could have implications for interspecific competition, trophic interactions, community diversity, and natural selection. We also tested whether this shift in the mechanism of competition with protozoa density affected the structure of the bacterial prey community. We found that both resources and protozoa density affected the structure of the bacterial prey community, suggesting that competitive mechanism may also affect trophic interactions

    InterferenceExploitative_Experiment

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    Contains treatment metadata (resource availability in mg and initial Colpidium density in cells/mL) as well as final Colpidium density in cells/mL. Also indicates which samples were randomly selected for 16S rRNA gene sequencing ("y"=yes, sample was sequenced; "n"=no, sample was not sequenced)

    Spatiotemporal patterns of rhizosphere microbiome assembly : From ecological theory to agricultural application

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    There is urgency in optimizing agricultural production in light of climate uncertainty, human population growth and resource limitations. The rhizosphere microbiome is a promising genetic resource, yet it is poorly understood. Additionally, research into rhizosphere microbial community assembly (MCA) lacks a consistent ecological framework that incorporates the dynamics of the occurring interactions. We explore the ecological principles that guide community establishment as they pertain to the rhizosphere while reviewing relevant research and highlighting the gaps in knowledge. We propose a conceptual model for studying the rhizosphere, and argue for higher resolution characterizations of the rhizosphere, under a framework of root and microbial traits that will determine its resulting composition. For this, we borrow concepts from ecological theory to chronologically describe MCA as a function of colonization, distribution and succession under changing plant-imposed filters. We argue that there is a need to consider the temporal and spatial scale of rhizosphere processes in a manner that is relevant to its microbial components. Finally, we discuss strategies for managing the rhizosphere microbiome for agriculture and the remaining gaps in knowledge that impede their application. Synthesis and applications. We aim to initiate a comprehensive conversation on ecological processes and plant and microbial traits that affect rhizosphere assembly. Rhizosphere microbiome research is relatively new and highly multidisciplinary. The use of a shared vocabulary and ecological theory will facilitate the development and advances in this discipline.</p

    Reciprocal Inhibition and Competitive Hierarchy Cause Negative Biodiversity-Ecosystem Function Relationships

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    The relationship between biodiversity and ecosystem function (BEF) captivates ecologists, but the factors responsible for the direction of this relationship remain unclear. While higher ecosystem functioning at higher biodiversity levels (‘positive BEF’) is not universal in nature, negative BEF relationships seem puzzlingly rare. Here, we develop a dynamical consumer-resource model inspired by microbial decomposer communities in pitcher plant leaves to investigate BEF. We manipulate microbial diversity via controlled colonization and measure their function as total ammonia production. We test how niche partitioning among bacteria and other ecological processes influence BEF in the leaves. We find that a negative BEF can emerge from reciprocal interspecific inhibition in ammonia production causing a negative complementarity effect, or from competitive hierarchies causing a negative selection effect. Absent these factors, a positive BEF was the typical outcome. Our findings provide a potential explanation for the rarity of negative BEF in empirical data
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