I. Bartomeus

Structural asymmetry in biotic interactions as a tool to understand and predict ecological persistence

The paper develops metrics to quantify asymmetry in biotic interactions and demonstrates their utility in predicting ecological persistence in a Mediterranean grassland.

Plant spatial aggregation modulates the interplay between plant competition and pollinator attraction with contrasting outcomes of plant fitness

The paper examines how plant spatial aggregation affects competition and pollinator attraction, showing mixed impacts on plant fitness depending on species and scale.

Towards a system-level causative knowledge of pollinator communities

This paper proposes a probabilistic causal analysis approach to improve system-level understanding of pollinator communities by integrating observational and synthetic data.

The non-random assembly of functional motifs in plant-pollinator networks

The paper shows that plant-pollinator networks have non-random motif structures, with specific species groups occupying distinct motif positions based on ecological roles.

Trade-offs among plant reproductive traits determine interactions with floral visitors

The paper examines plant reproductive trade-offs and their impact on interactions with floral visitors using data from 1,506 plant species across 28 studies.

Non-random interactions within and across guilds shape the potential to coexist in multi-trophic ecological communities

The paper models community feasibility domains in grassland ecosystems to assess how trophic guild interactions influence coexistence potential, finding that complexity does not reduce feasibility due to self-regulation and niche partitioning.

Multitrophic higher-order interactions modulate species persistence

The paper investigates how higher-order interactions in a multitrophic system affect species persistence, showing that these interactions significantly alter per capita interaction strengths and persistence probabilities.

Multilayer diffusion networks as a tool to assess the structure and functioning of fine grain sub-specific plant-pollinator networks

The paper introduces a multilayer diffusion network framework to model pollen flow in fine-grain sub-specific plant-pollinator networks and shows how network structure affects seed production.

The spatial configuration of biotic interactions shapes coexistence-area relation-ships in an annual plant community

The paper shows that spatial heterogeneity has little effect on species-area relationships in a Mediterranean grassland, with coexistence driven by direct pairwise interactions and transient species.

Fine scale prediction of ecological community composition using a two-step sequential machine learning ensemble

This paper predicts fine-scale ecological community composition using a two-step machine learning ensemble, showing high spatial accuracy but limited temporal predictive power.

Niche complementarity among pollinators increases community-level plant reproductive success

The paper links pollinator diversity to plant reproductive success by analyzing community-level interactions in Mediterranean shrub ecosystems.

Phenotypic and microsite plant individual variation determine the pollination network structure and its functional consequences

The paper assesses how phenotypic and microsite variation in plants influences pollination network structure and reproductive success using a population of Halimium halimifolium.

Brain size predicts learning abilities in bees

This study shows that brain size correlates with learning ability in bees, demonstrating that relative brain size predicts cognitive performance in insect species beyond honeybees and bumblebees.

Recipient and donor characteristics govern the hierarchical structure of heterospecific pollen competition networks

The paper investigates how recipient and donor traits influence pollen competition networks among plant species, finding hierarchical structures driven by trait matching and asymmetries.

Innovation in solitary bees is driven by exploration, shyness and activity levels

This study shows solitary bees can innovate by solving an obstacle removal task, with innovation linked to exploration, boldness, and activity levels rather than learning.

Safeguarding the genetic integrity of native pollinators requires stronger regulations on commercial lines

The paper shows commercial bumblebee colonies are causing genetic introgression in native bumblebee lineages in southern Spain, threatening their genetic integrity.

A global synthesis reveals biodiversity-mediated benefits for crop production

This study shows that biodiversity, not just abundance, is crucial for maintaining ecosystem services like pollination and pest control, which support crop yields.

Pollinator size and its consequences: Predictive allometry for pollinating insects

This study develops predictive allometric models for pollinator body size using Bayesian and OLS regression, showing better interspecific than intraspecific predictions.

Species-habitat networks: Bridging applied ecology and network theory

The paper introduces a species-habitat network approach to bridge ecological theory and applied management by analyzing species-resource interactions across landscapes.

Historic collections as a tool for assessing the global pollinator crisis

This paper assesses the global pollinator crisis using historical museum specimen data to identify long-term trends in pollinator abundance, morphology, and pollination services.

Bees use anthropogenic habitats despite strong natural habitat preferences

The paper analyzes bee habitat use across northeast USA, finding natural habitats sustain highest diversity, but many species can use human-altered habitats despite preferring forests.

Opposing effects of floral visitors and soil conditions on the determinants of competitive outcomes maintain species diversity in heterogeneous landscapes

The paper shows how floral visitors and soil salinity affect competitive outcomes in plant species, maintaining diversity through opposing effects on coexistence and dominance.