Author
A. R. Ives
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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2016-2023 · peak 2/yrCo-Author Collaboration Network
9 top collaborators · 13 mutual co-author links6 papers
Recent·Most cited
When should coevolution among competitors promote coexistence versus exclusion?
L. A. Nell, J. S. Phillips, A. R. Ives
The paper investigates when coevolution among competitors promotes coexistence versus exclusion, finding that conflict traits drive investment but species investing in them are more likely to be excluded.
bioRxiv · Nov 1, 2022 · PreprintEcology
Resource use differences of two coexisting chironomid species at localized scales
A. R. McCormick, J. S. Phillips, J. C. Botsch, J. S. Olafsson, A. R. Ives
This study examines resource partitioning between two coexisting chironomid species using stable carbon isotopes, finding interspecific differences in resource use despite spatial and temporal correlations.
bioRxiv · Mar 7, 2022Ecology
Dependence of an aquatic insect population on contemporaneous primary production
J. S. Phillips, A. R. McCormick, J. C. Botsch, A. R. Ives
The paper shows that aquatic insect emergence depends on contemporaneous primary production but can also use existing organic matter, indicating partial decoupling of primary and secondary production.
bioRxiv · Mar 22, 2021 · PreprintEcology
phyr: An R package for phylogenetic species-distribution modelling in ecological communities
D. Li, R. Dinnage, L. A. Nell, M. R. Helmus, A. R. Ives
The paper introduces the R package phyr for phylogenetic species-distribution modelling in ecological communities, providing tools to fit various models and analyze community composition with phylogenetic relationships.
bioRxiv · Feb 17, 2020Ecology
The need to include phylogeny in trait-based analyses of community composition
This paper shows that ignoring phylogenetic relationships in trait-environment analyses can lead to inaccurate results and false conclusions, and recommends using phylogenetic linear mixed models instead.
bioRxiv · Oct 28, 2016Ecology