Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
116
datasets available to search
ShareScore release 0.9.0
Dataset results
116 results for “Competition for resources”
Altering pH changes competition dynamics between two crayfish species for both food and shelter resources
As climate change continues, alterations in abiotic variables within habitats will also change. One of the key variables for aquatic systems is pH. We were interested in how lowered pH altered the behavioral characteristics of two keystone species: Faxonius rusticus, a non-native crayfish in the upper midwest and Faxonius virilis, the native crayfish. We dosed size-matched individuals in separate tanks for four days and than placed these individuals in a flow through mesocosm to allow them to compete over food and shelter resources. Behavior was recorded from midnight to 4 am. Pairs of animals were exposed to pH levels varying from ambient (8.4) to 6.4. The experiment took place at the University of Michigan's Biological Station in northern Michigan in the United States.
Test results for Competition for CPU resources experiments
Open the record for dataset details and reuse information.
Fast-slow traits predict competition network structure and its response to resources and enemies
<p>Plants interact in complex networks but how network structure depends on resources, natural enemies, and species resource-use strategy remains poorly understood. Here, we quantified competition networks among 18 plants varying in fast-slow strategy, by testing how increased nutrient availability and reduced foliar pathogens affected intra- and inter-specific interactions. Our results show that nitrogen and pathogens altered several aspects of network structure, often in unexpected ways due to fast and slow-growing species responding differently. Nitrogen addition increased competition asymmetry in slow-growing networks, as expected, but decreased it in fast-growing networks. Pathogen reduction made networks more even and less skewed because pathogens targeted weaker competitors. Surprisingly, pathogens and nitrogen dampened each other's effect. Our results show that plant growth strategy is key to understanding how competition responds to resources and enemies, a prediction from classic theories that has rarely been tested by linking functional traits to competition networks.</p>
Molecular signatures of resource competition: Clonal interference favors ecological diversification and can lead to incipient speciation
<p>Microbial ecosystems harbor an astonishing diversity that can persist for long times. To understand how such diversity is structured and maintained, ecological and evolutionary processes need to be integrated at similar timescales. Here, we study a model of resource competition that allows for evolution via de novo mutation, and focus on rapidly adapting asexual populations with large mutational inputs, as typical of many bacteria species. We characterize the adaptation and diversification of an initially maladapted population and show how the eco-evolutionary dynamics are shaped by the interaction between simultaneously emerging lineages – clonal interference. We find that in large populations, more intense clonal interference can foster diversification under sympatry, increasing the probability that phenotypically and genetically distinct clusters coexist. In smaller populations, the accumulation of deleterious and compensatory mutations can push further the diversification process and kick-start speciation. Our findings have implications beyond microbial populations, providing novel insights about the interplay between ecology and evolution in clonal populations.</p>
FIG. 6 in Dietary behaviour and competition for vegetal resources in two Early Miocene pecoran ruminants from Central Spain
FIG. 6. — Histograms showing the percentage of high and low occlusal relief and of each type of cusp shape for the Spanish taxa with living species and with fossil populations of Andegameryx Ginsburg, 1971 and Procervulus Gaudry, 1877 from Europe. Dental mesowear data of living taxa taken from Fortelius & Solounias (2000). Data of German taxa and fossil Procervulus ginsburgi Azanza, 1993 taken from Kaiser & RÖssner (2007) and DeMiguel et al. (2008), respectively. Abbreviations: see Material and methods.
FIG. 5 in Dietary behaviour and competition for vegetal resources in two Early Miocene pecoran ruminants from Central Spain
FIG. 5. — Mesowear features of selected teeth of: A, B, AAGR; C, D, PAGR; E, F, PMOR; G, H, PAB1. Scale bar: 1 cm. Abbreviations: see Material and methods.
FIG. 1 in Dietary behaviour and competition for vegetal resources in two Early Miocene pecoran ruminants from Central Spain
FIG. 1. — Location of the studied localities in the Iberian Chain (Central Spain). Ágreda and Moratilla are placed in the Calatayud basin, and Alto de Ballester 1 in the Rubielos de Mora basin.
FIG. 3 in Dietary behaviour and competition for vegetal resources in two Early Miocene pecoran ruminants from Central Spain
FIG. 3. — Histogram showing the density of scratches and pits for the Spanish taxa with living species and with Procervulus from other Spanish localities. Dental microwear data of living taxa and Procervulus taken from Solounias et al. (2000) and DeMiguel (2008, 2010), respectively. Abbreviations: see Material and methods.
FIG. 2 in Dietary behaviour and competition for vegetal resources in two Early Miocene pecoran ruminants from Central Spain
FIG. 2. — ESEM photomicrographs of share facets of the population of: A, AAGR; B, PAGR; C, PMOR; D, PAB1. Scale bars: 100 μm. Abbreviations: see Material and methods.
Data from: Pollinator competition and the contingency of nectar depletion during an early spring resource pulse
<p>Concerns about competition between pollinators are predicated on the assumption of floral resource limitation. Floral resource limitation, however, is a complex phenomenon involving the interplay of resource production by plants, resource demand by pollinators, and exogenous factors — like weather conditions — that constrain both plants and pollinators. In this study, we examine nectar limitation during the mass flowering of rosaceous fruit trees in early spring. Our study is set in the same region as a previous study that found extremely severe nectar limitation in summer grasslands. We use this seasonal contrast to evaluate two alternative hypotheses concerning the seasonal dynamics of floral resource limitation: either (H1) rates of resource production and consumption are matched through seasonal time to maintain a consistent degree of resource limitation or (H2) a mismatch of high floral resource production and low pollinator activity in early spring creates a period of relaxed resource limitation that intensifies later in the year. We found generally much lower depletion in our study compared to the near 100% depletion found in the summer study, but depletion rates varied markedly through diel time and across sampling days, with afternoon depletion rates sometimes exceeding 80%. In some cases, there were also pronounced differences in depletion rate across simultaneously sampled floral species, indicating different degrees of nectar exploitation. These findings generally support the seasonal mismatch hypothesis (H2) but underscore the complex contingency of nectar depletion. The challenge of future work is to discern how the fluctuation of resource limitation across diel, inter-diel, and seasonal time scales translates into population-level fitness outcomes for pollinators.</p>
Molecular signatures of resource competition: Clonal interference favors ecological diversification and can lead to incipient speciation
Open the record for dataset details and reuse information.
Data from: Pollinator competition and the contingency of nectar depletion during an early spring resource pulse
Open the record for dataset details and reuse information.
Data and code for: Moisture and competition constrain ephemeral resource quality for burying beetle reproduction
Open the record for dataset details and reuse information.
Fast-slow traits predict competition network structure and its response to resources and enemies
Open the record for dataset details and reuse information.
Data from: Contrasting per-gram competitive and soil resource effects in grasses and woody plants
1. Plant species differ in their competitive effects by decreasing resource availability via uptake, but in some cases may increase resource availability via non-uptake pathways. Here we explore differences between grasses and woody plants in their competitive effects, and relate these to differences in resource effects. 2. We grew five species each of grasses and woody plants in monocultures for eight years. In the final two growing seasons, competitive effects were measured by growing transplants in all monocultures and in plots without neighbours. 3. Total competitive effects were significantly greater for woody plants than grasses. In contrast, the competitive effect per gram of grasses was about 17 times greater than that of woody plants. 4. For grasses, soil water and soil available N decreased significantly with increasing biomass. In contrast, for woody plants, soil water and soil available N increased significantly with increasing biomass. The results suggest that the intense per-gram competitive effects in grasses is related to the uptake of soil resources, and that the significantly lower per-gram competitive effects of woody plants may be related to their positive effects on soil resources. 5. Synthesis. The results link differences in competitive effects between grasses and woody plants to differences in the direction of their effects on soil resources. These differences may contribute to the entrainment of negative feedback in grasslands, excluding trees by means of strong competition, and the entrainment of positive feedback beneath woody plants establishing in grasslands, resulting in a state change from grassland to woody vegetation.
Competition for resources can promote the divergence of social learning phenotypes
<p>Social learning occurs when animals acquire knowledge or skills by observing or interacting with others, and is the fundamental building block of culture. Within populations, some individuals use social learning more frequently than others, but why social learning phenotypes differ among individuals is poorly understood. We modelled the evolution of social learning frequency in a system where foragers compete for resources and there are many different foraging options to learn about. Social learning phenotypes diverged when some options offered much better rewards than others and expected rewards changed moderately quickly over time. When options offered similar rewards or when rewards changed slowly, a single social learning phenotype evolved. This held for fixed and simple conditional social learning rules. Sufficiently complex conditional social learning rules prevented the divergence of social learning phenotypes under all conditions. Our results explain how competition can promote the divergence of social learning phenotypes.</p>
Resource competition predicts assembly of in vitro gut bacterial communities
<p>Microbiota dynamics arise from a plethora of interspecies interactions, including resource competition, cross-feeding, and pH modulation. The individual contributions of these mechanisms are challenging to untangle, especially in natural or complex laboratory environments where the landscape of resource competition is unclear. Here, we developed a framework to estimate the extent of multi-species niche overlaps by combining metabolomics data of individual species, growth measurements in pairwise spent media, and mathematical models. When applied to an in vitro model system of human gut commensals in complex media, our framework revealed that a simple model of resource competition described most pairwise interactions. By grouping metabolomic features depleted by the same set of species, we constructed a coarse-grained consumer-resource model that predicted assembly compositions to reasonable accuracy. Moreover, deviations from model predictions enabled us to identify and incorporate into the model additional interactions, including pH-mediated effects and cross-feeding, which improved model performance. In sum, our work provides an experimental and theoretical framework to dissect microbial interactions in complex in vitro environments.</p>
Preferential allocation of benefits and resource competition among recipients allows coexistence of symbionts within hosts
<p>Functionally variable symbionts commonly co-occur including within the roots of individual plants, in spite of arguments from simple models of the stability of mutualism that predict competitive exclusion among symbionts. We explore this paradox by evaluating the dynamics generated by symbiont competition for plant resources, and the plant's preferential allocation to the most beneficial symbiont, using a system of differential equations representing the densities of mutualistic and non-mutualistic symbionts and the level of preferentially allocated and non-preferentially allocated resources for which the symbionts compete. We find that host preferential allocation and costs of mutualism generate resource specialization that makes the coexistence of beneficial and non-beneficial symbionts possible. Furthermore, coexistence becomes likely due to negative physiological feedbacks in host preferential allocation. We find that biologically realistic models of plant physiology and symbiont competition predict that the coexistence of beneficial and non-beneficial symbionts should be common in root symbioses, and that the density and relative abundance of mutualists should increase in proportion to the needs of the host.</p>
Collective foraging: Experimentally-increased competition decreases group performance exploiting a permanent resource
<p><span>Foraging collectively offers advantages, such as access to social information on food locations, but it may also intensify competition for local resources. Social information may be most advantageous during ecologically challenging conditions, when food sources are scarce or unpredictable, which predicts more collective foraging during such conditions. Alternatively, higher within-group competition when resources are scarce might destabilize social groups and reduce collective foraging. </span></p> <p><span>To evaluate these effects, we experimentally decreased the number and predictability of food sources (feeders with <em>ad libitum</em> seeds) available to wild-caught common waxbills (<em>Estrilda astrild</em>) living in a large open-air mesocosm. </span></p> <p><span>Compared to control periods, in the treatment with few food sources competitive aggressiveness at feeders increased, the social network became more fragmented, with on average weaker associations between individuals, and foraging groups became smaller. Foraging groups also spent less time per visit to the feeding area, individuals spent less time at the feeders per group visit and had to make more visits to the feeding area per day, all of which indicate less efficient exploitation of the food sources. These effects were also observed when the number of feeders changed unpredictably across days. </span></p> <p><span>Even though the collective behaviour of waxbills appeared to exacerbate, rather than mitigate, the ecological challenges of reduced or unpredictable food sources, we suggest that, in nature, this increased aggressiveness and fragmentation of the social network may function adaptively as an early trigger to explore alternative foraging locations before local food sources are severely depleted.</span></p>
Monks relax sibling competition over parental resources in Tibetan populations
<p class="MsoNormal"><span>Why parents in some societies induce some of their sons to become religious celibates is an evolutionary puzzle. Some have speculated that this might be associated with brother competition for family resources. However, the behavioral ecology of monks and the possible links with competition between brothers remains unexplored. Here, we use demographic data from Amdo Tibetan agropastoralists in western China to evaluate what factors determine the probability of becoming a monk and explore the possible association between wealth and having a monk brother. We found that boys with at least one older brother are more likely to be induced by their parents to become celibate monks. Patrilocal heads of household, who inherit parental property, are more likely to be first-born sons, whereas men who marry uxorilocally, that is they move to their wife's household, are generally second or later born sons. Moreover, we find that men with at least one monk brother are wealthier than men who only have non-celibate brothers. Together, these results suggest that sending a son to the monastery is way for parents to decrease competition between brothers over family resources. Harsh and resource-limited environments, like the one we consider, can lead to the emergence of communal households, including polyandrous families, which used to be common in Tibetan areas. Directing one son to become a religious celibate offers a potentially effective solution to brother competition in our population.</span></p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.