Details

Autor(en) / Beteiligte

• Hall, Alex R.
• Ashby, Ben
• Bascompte, Jordi
• King, Kayla C.

Titel

Measuring Coevolutionary Dynamics in Species-Rich Communities

Ist Teil von

• Trends in ecology & evolution (Amsterdam), 2020-06, Vol.35 (6), p.539-550

Ort / Verlag

England: Elsevier Ltd

Erscheinungsjahr

2020

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• 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. Coevolutionary interactions between species can display various types of temporal dynamics that impact on key properties such as biodiversity and infectious disease in different ways.Recent theory and observations of natural communities reveal how coevolution plays out in complex networks of species.Experimental research has tended to focus on pairwise coevolution, but there has been a recent surge in experiments with microorganisms in species-rich communities.We discuss challenges/approaches for quantifying coevolutionary processes in experimental species-rich communities, as well as new theoretical avenues, with the aim of helping biologists to untangle coevolving interactions in complex ecological networks.