Author

M. Hurtado

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Ecology· 3

Signature Assays, Organisms & Methods

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Research Focus:ecology & biodiversity· 3 Organism:plant (other)· 2 Approach:statistical model· 2 Approach:deep learning· 1 Approach:experimental assay· 1 Assay:metagenomics· 1

Frequent Co-Authors

I. Bartomeus· 3 shared O. Godoy· 3 shared A. Allen-Perkins· 2 shared D. Garcia-Callejas· 2 shared J. B. Lanuza· 1 shared L. Buche· 1 shared

Activity by Year

2021-2022 · peak 2/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

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3 shared papersEcology

I. Bartomeus

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3 papers

Recent·Most cited

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

M. Hurtado, O. Godoy, I. Bartomeus

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

bioRxiv · Oct 21, 2022Ecology

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

D. Garcia-Callejas, O. Godoy, L. Buche, M. Hurtado, J. B. Lanuza, A. Allen-Perkins, I. Bartomeus

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.

bioRxiv · Nov 29, 2021Ecology

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

A. Allen-Perkins, M. Hurtado, D. Garcia-Callejas, O. Godoy, I. Bartomeus

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.

bioRxiv · Apr 23, 2021Ecology