Peer Community JournalEcologyPeer-reviewed journal article
Impact of selective logging on the population dynamics and genetic diversity in the neotropical timber tree Dicorynia guianensis
Julien BonnieriD, Stéphane TraissaciD, Olivier BrunauxiD, Valérie TroispouxiD, Niklas TysklindiD, Myriam HeuertziD
Abstract
Selective logging is a widely applied forest management strategy in the tropics, yet it is insufficiently documented how it affects the genetic and demographic processes of seedling recruitment in timber species in the Guiana Shield. Our study investigates how selective logging influences genetic diversity, gene dispersal, and seedling establishment in Dicorynia guianensis by comparing a logged and an unlogged forest plot in French Guiana. We genotyped 703 individuals using 66 nuclear SSR markers and applied parentage analyses to infer dispersal patterns and reproductive success. We analyzed genetic diversity and spatial genetic structure across life stages, and tested whether seedling recruitment was associated with logging-related canopy openings. Genetic diversity indices were broadly similar between logged and unlogged plots, with no evidence of genetic erosion in adults or seedlings. Seedling establishment was associated with logging-induced canopy openings. Parentage analyses revealed shorter mean dispersal distances in the logged plot but substantial long-distance pollen flow, ensuring admixture and inter-plot connectivity. Reproductive success was more evenly distributed among mothers, whereas male contributions were skewed in the logged plot. Selective logging did not cause immediate genetic erosion but altered dispersal dynamics and reproductive patterns. These findings underline the resilience of D. guianensis under current management practices, while emphasizing the need for long-term monitoring of regeneration to ensure sustainable recruitment and evolutionary resilience across logging cycles.
- organism: plant (other)
- assay: metagenomics
- research focus: ecology & biodiversity
- approach: statistical model
- Citations
- 0
- FWCI
- 0.00
- Field percentile
- top 32%
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