Author

L. Larios

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

Biology Disciplines

Click to filter author papers

Ecology· 2 Microbiology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:ecology & biodiversity· 2 Approach:experimental assay· 2 Assay:metagenomics· 2 Approach:Bayesian inference· 1 Research Focus:host-pathogen & immune response· 1 Organism:multiple species· 1 Organism:plant (other)· 1

Frequent Co-Authors

M. F. Pulido-Chavez· 2 shared S. I. Glassman· 2 shared C. Chu· 1 shared C. H. Bowler· 1 shared C. M. Werner· 1 shared C. Weiss-Lehman· 1 shared C. Zalman· 1 shared E. Ladouceur· 1 shared

Activity by Year

2021-2021 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersMicrobiology

M. F. Pulido-Chavez

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Rapid bacterial and fungal successional dynamics in first year after Chaparral wildfire

M. F. Pulido-Chavez, J. W. J. Randolph, C. Zalman, L. Larios, P. M. Homyak, S. I. Glassman

This study tracks bacterial and fungal community changes in chaparral soils after a wildfire, showing rapid succession driven by fire-adapted microbes.

bioRxiv · Dec 7, 2021Microbiology

Prescribed versus wildfire impacts on exotic plants and soil microbes in California grasslands

S. I. Glassman, J. W. Randolph, S. S. Saroa, J. K. Capocchi, K. E. Walters, M. F. Pulido-Chavez, L. Larios

This study compares the effects of prescribed fire and wildfire on plant cover, community composition, and soil microbial diversity in California grasslands, finding wildfire has stronger microbial impacts while both reduce exotic plant cover.

bioRxiv · Sep 22, 2021Ecology

Disentangling key species interactions in diverse and heterogeneous communities: A Bayesian sparse modeling approach

C. Weiss-Lehman, C. M. Werner, C. H. Bowler, L. M. Hallett, M. M. Mayfield, O. Godoy, L. Aoyama, g. Barabas, C. Chu, E. Ladouceur, L. Larios, L. G. Shoemaker

This paper introduces a Bayesian sparse modeling approach to identify key species interactions in diverse communities by reducing parameter complexity and distinguishing environmental effects from competitive interactions.

bioRxiv · Jul 23, 2021Ecology