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Measuring Coevolutionary Dynamics in Species-Rich Communities
- Source :
- Trends in Ecology & Evolution, 35 (6)
- Publication Year :
- 2020
- Publisher :
- Elsevier BV, 2020.
-
Abstract
- Identifying different types of coevolutionary dynamics is important for understanding biodiversity and infectious disease. Past work has often focused on pairs of interacting species, but observations of extant communities suggest that coevolution in nature occurs in networks of antagonism and mutualism. We discuss challenges for measuring coevolutionary dynamics in species-rich communities, and we suggest ways that established approaches used for two-species interactions can be applied. We propose ways that such data can be complemented by genomic information and linked back to extant communities via network structure, and we suggest avenues for new theoretical work to strengthen these connections. Quantifying coevolution in species-rich communities has several potential benefits, such as identifying coevolutionary units within networks and uncovering coevolutionary interactions among pathogens of humans, livestock, and crops. ISSN:0169-5347 ISSN:1872-8383
- Subjects :
- 0106 biological sciences
0301 basic medicine
Evolution
Biodiversity
Network structure
010603 evolutionary biology
01 natural sciences
10127 Institute of Evolutionary Biology and Environmental Studies
03 medical and health sciences
Behavior and Systematics
Extant taxon
Symbiosis
Ecology, Evolution, Behavior and Systematics
Coevolution
Mutualism (biology)
Ecology
Community structure
15. Life on land
Biological Evolution
Ecological network
1105 Ecology, Evolution, Behavior and Systematics
030104 developmental biology
Geography
coevolution
fluctuating selection
ecological networks
community structure
time-shift
Evolutionary biology
570 Life sciences
biology
590 Animals (Zoology)
Genomic information
Subjects
Details
- ISSN :
- 01695347
- Volume :
- 35
- Database :
- OpenAIRE
- Journal :
- Trends in Ecology & Evolution
- Accession number :
- edsair.doi.dedup.....5b4488fd796e7cf550407dbe3717e738