Towards a probabilistic understanding about the context-dependency of species interactions
- Song, Chuliang Department of Civil and Environmental Engineering, MIT, 77 Massachusetts Av., Cambridge 02139, MA, USA
- Ahn, Sarah Von Department of Mathematics, MIT, 77 Massachusetts Av., Cambridge 02139, MA, USA
- Rohr, Rudolf P. Department of Biology - Ecology Evolution, University of Fribourg, Switzerland
- Saavedra, Serguei Department of Civil and Environmental Engineering, MIT, 77 Massachusetts Av., Cambridge 02139, MA, USA
-
01.05.2020
Published in:
- Trends in Ecology & Evolution. - 2020, vol. 35, no. 5, p. 384–396
English
Observational and experimental studies have shown that an interaction class between two species (be it mutualistic, competitive, antagonistic, or neutral) may switch to a different class, depending on the biotic and abiotic factors within which species are observed. This complexity arising from the evidence of context-dependencies has underscored a difficulty in establishing a systematic analysis about the extent to which species interactions are expected to switch in nature and experiments. Here, we propose an overarching theoretical framework, by integrating probabilistic and structural approaches, to establish null expectations about switches of interaction classes across environmental contexts. This integration provides a systematic platform upon which it is possible to establish new hypotheses, clear predictions, and quantifiable expectations about the context-dependency of species interactions.
- Faculty
- Faculté des sciences et de médecine
- Department
- Département de Biologie
- Language
-
- English
- Classification
- Biological sciences
- License
- License undefined
- Identifiers
-
- RERO DOC 328405
- DOI 10.1016/j.tree.2019.12.011
- Persistent URL
- https://folia.unifr.ch/unifr/documents/308407
Statistics
Document views: 41
File downloads:
- roh_tpu.pdf: 269