Determining the optimal movement strategies in environments with heterogeneously distributed resources and toxicants
Environmental stress forces populations to move away from oppressive regions and look for desirable environments. Different species can respond to the same spatial distributions of resources and toxicants with distinct movement strategies. However, the optimal behavioral strategy may differ when resources and stressors occur simultaneously or if they are distributed in different patterns. We compared the total abundance of two strains of Caenorhabditis elegans with different locomotion speeds as they forage in various spatial distributions of resources and toxicants. Informed by the experimental observations, we proposed a new two‐state population model, wherein nutrient uptake and reproduction are modeled separately, as driven by the spatial distribution of resources and toxicants. We found that fast movers had an advantage when either the toxicant coverage or the overlap between toxicants and resources was increased. Also, to assess the effectiveness of designing refuges to conserve species in stressful cases, we compared different preferences of locations of refuge areas according to movement strategies. Our mathematical model explained that fast movement enables individuals to consume resources at one location and reproduce at a separate location to avoid the toxicant‐induced reduction in reproduction rate, which underlined its observed advantage in certain experimental settings. This work provided a better model to predict how species with different movement strategies respond to environmental stressors in natural systems.
Authors
- Kevin M. Collins (ORCID: https://orcid.org/0000-0001-9930-0924)
- King‐Yeung Lam (ORCID: https://orcid.org/0000-0003-1004-0658)
- Jason B. Belden (ORCID: https://orcid.org/0000-0002-0432-7700)
- Bo Zhang (ORCID: https://orcid.org/0000-0002-5313-0816)
- Lin Wang (ORCID: https://orcid.org/0000-0002-9757-5542)
- Ameir Ali
- Ashley Baragary
Institutions
- Oklahoma State University (US)
- University of Miami (US)
- The Ohio State University (US)
- Shaanxi Normal University (CN)
Publication Details
- Journal
- Oikos
- Published
- 2025-03-28
- DOI
- https://doi.org/10.1111/oik.10962
- Citations
- 1
- Primary Topic
- Diffusion and Search Dynamics
- Type
- article
- Field-Weighted Citation Impact
- 0.81