Ecological and Evolutionary Dynamics of Periodical Cicadas
Summary
Periodical cicadas of the genus Magicicada are renowned for their prime-numbered life cycles of 13 and 17 years and their spectacular, highly synchronised mass emergences. These events generate enormous pulses of biomass that influence nutrient cycling, predator–prey interactions and forest dynamics across large regions. The evolutionary origins of such periodicity are linked to climatic fluctuations during glacial periods, which favoured prolonged juvenile stages, low adult densities and the evolution of semelparous reproduction coupled with predator satiation. Despite the close proximity of broods that emerge in different years, genomic studies reveal remarkably limited divergence between 13- and 17-year populations, implying that life-cycle shifts can occur via small genetic changes and life-history plasticity. Ecologically, resource partitioning among cicada species is mediated by host-tree selection, nymphal feeding preferences and brood dispersal, shaping coexistence and competition. The mass emergence also acts as a keystone resource pulse, fertilising soils, supporting diverse scavenger communities and influencing forest regeneration. Ongoing research addresses how microclimatic variability, interbrood gene flow and anthropogenic habitat changes continue to shape both the ecological impacts and the evolutionary stability of these extraordinary insects.
Research from Nature Portfolio
Recent studies have used comparative transcriptomics and demographic modelling to uncover the genetic and evolutionary processes behind parallel life-cycle divergence. Analyses of orthologous gene sequences across three species pairs show that 13- and 17-year lineages diverged between 200,000 and 100,000 years ago yet persist in the face of substantial gene flow during occasional co-emergences. These findings suggest that only very limited genomic changes are required to maintain distinct life-cycle phenotypes. Complementary individual-based simulations under scenarios of climatic cooling indicate that extended juvenile stages and low adult densities would have favoured the fixation of strict periodicity via predator satiation, with prime-numbered cycles offering maximal avoidance of cyclical predators. Together, these contributions integrate genomic and ecological modelling approaches to explain both the origin and the persistence of prime-numbered life cycles in periodical cicadas.
Ecological and Evolutionary Dynamics of Periodical Cicadas publication trend
The graph below shows the total number of articles in ecological and evolutionary dynamics of periodical cicadas across all publications each year (not limited to Nature Index journals).
Technical terms
Periodical cicada: A member of the genus Magicicada, characterised by synchronized mass emergences after 13 or 17 years underground.
Brood: A cohort or year-class of periodical cicadas that emerges simultaneously in a particular calendar year.
Predator satiation: A defensive strategy whereby the sudden abundance of prey reduces the proportion of individuals consumed.
Allee effect: A demographic phenomenon in which individual fitness or reproduction declines at low population densities, affecting persistence and life-cycle transitions.
Semelparous: Describing organisms that reproduce once and then die, a trait exhibited by periodical cicadas at the end of their nymphal development.
References
- Use of tree species by three species of Magicicada (Hemiptera: Cicadidae) in an Appalachian forest. Journal of Forestry Research (2023).
- Long-term monitoring and analysis of Brood X cicada activity by distributed fiber optic sensing technology. Journal of Insect Science (2023).
- How do cicadas emerge together? Thermophysical aspects of their collective decision-making. Physical Review E (2024).
- Triplicate parallel life cycle divergence despite gene flow in periodical cicadas. Communications Biology (2018).
- Evolution of periodicity in periodical cicadas. Scientific Reports (2015).
- Periodical cicada emergence resource pulse tracks forest expansion in a tallgrass prairie landscape. Ecosphere (2019).
About these summaries
This Nature Research Intelligence Topic summary is created with the cited references and a large language model. We take care to ground generated text with facts, and have systems in place to gain human feedback on the overall quality of the process in line with our AI principles. We strive to create accurate and useful summaries for people unfamiliar with the research topic and that supports this goal. These pages are a beta release and will be updated as we learn how best to help people gain value from a research topic summary.
Turn complex research questions into confident strategic decisions
When you're under pressure to set direction, justify investment, or understand your competitive position, you need more than raw data — you need trusted insights you can act on.
Benchmark your performance against global peers using robust, methodologically sound analysis.
Combine quantitative metrics with qualitative expert insight to uncover strengths, gaps and emerging opportunities.
Gain tailored, decision-ready recommendations aligned to your strategic priorities.
Talk to us to learn more about our data dashboards and bespoke strategy reports.
Grow research skills, confidence and careers with training built for every stage of the research lifecycle.
Developed with Nature Portfolio journal Editors and internationally renowned experts. Discover three ways to learn:
Self-paced, online courses in convenient bite-sized units, covering key skills across scientific writing, publishing, grant writing, data analysis, and more.
Expert trainer-led workshops with hands-on exercises and real-time feedback across core research skills, delivered via interactive group sessions.
Editor-led workshops combining core principles in writing and publishing, personalised 1:1 feedback from Nature Portfolio Editors and hands-on exercises.
Explore course catalogues and workshop agendas, enquire about the options or request institutional pricing.