Author

A. Rico

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· 3 Evolutionary Biology· 1 Microbiology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:Bayesian inference· 2 Research Focus:clustering· 2 Research Focus:ecology & biodiversity· 2 Approach:experimental assay· 2 Research Focus:host-pathogen & immune response· 2 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1

Frequent Co-Authors

S. J. Moe· 2 shared S. Mentzel· 2 shared A. Arenas-Sanchez· 1 shared C. Dagot· 1 shared C. Martinez· 1 shared C. Martinez-Megias· 1 shared E. Buelow· 1 shared F. Polazzo· 1 shared

Activity by Year

2019-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 8 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 papersEcology

S. J. Moe

Mutual co-authors in cluster

Author profile →

5 papers

Recent·Most cited

Extreme high-elevation mammal surveys reveal unexpectedly high upper range limits of Andean mice

J. Storz, M. Quiroga-Carmona, S. Liphardt, N. M. Bautista, J. C. Opazo, A. Rico, J. Salazar-Bravo, J. Good, G. D'Elia

The paper reports the discovery of Andean mice at extreme elevations, surpassing previously assumed range limits, using field surveys and genomic data.

bioRxiv · Aug 22, 2023Evolutionary Biology

A Bayesian network approach to assess the influence of climate change and pesticide use practices on the ecological risks of pesticides in a protected Mediterranean wetland

C. Martinez, S. Mentzel, Y. Fuentes-Edfuf, S. J. Moe, A. Rico

This study uses a Bayesian network to assess how climate change and pesticide use practices affect ecological risks in a Mediterranean wetland, finding that future climate conditions and reduced pesticide use can lower risks.

bioRxiv · Dec 15, 2022Ecology

Using a Bayesian network model to predict effects of pesticides on aquatic community endpoints in a rice field - A southern European case study

S. Mentzel, C. Martinez-Megias, M. Grung, A. Rico, K. E. Tollefsen, P. Van den Brink, S. J. Moe

This study uses a Bayesian network model to predict pesticide effects on aquatic ecosystems in rice fields, finding azoxystrobin and MCPA pose higher community risk than acetamiprid.

bioRxiv · Oct 19, 2022 · PreprintEcology

Changes in community composition determine recovery trajectories from multiple agricultural stressors in freshwater ecosystems

F. Polazzo, T. B. Oliveira dos Anjos, A. Arenas-Sanchez, S. Romo, M. Vighi, A. Rico

This study shows that pesticide mixtures affect freshwater community dynamics, with recovery depending on stressor type and post-disturbance interactions.

bioRxiv · Nov 3, 2020 · PreprintEcology

Classification of hospital and urban wastewater resistome and microbiota over time and their relationship to the eco-exposome.

E. Buelow, A. Rico, M. Gaschet, J. Lourenco, S. P. Kennedy, L. Wiest, M.-C. Ploy, C. Dagot

The paper analyzes the resistome, microbiota, and eco-exposome of hospital and urban wastewater over time and their mixing impact on AMR.

bioRxiv · Jul 20, 2019Microbiology