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Picture: The photo shows a sunlit winter forest with a large area of flowering wood anemones stretching across the ground.

Genetic variation is a fundamental level of biodiversity, allowing species to adapt to changing environments. Indeed, it might be the last stronghold for ensuring the long-term persistence of species, because dispersal and phenotypic plasticity often provide insufficient responses to current environmental changes. However, genetic variation might be eroded by intense management, threatening this pillar of biodiversity. Moreover, theory predicts that loss of genetic diversity will over time result in a loss of species, but the relationship between genetic and species diversity remains unclear. Whereas the influence of management intensity on biodiversity at the species level has previously been studied in grassland ecosystems, much less attention has been paid to forest systems in general, and genetic diversity in particular.

Picture: The panorama photo shows a row of leafy beeches with two dead conifers in between in a shady forest in spring. The forest floor is completely covered with withered leaves.
© Marcel Glück

We examine how genetic diversity in twenty different plant and animal species varies along a gradient of forest management intensity. We specifically focus on many species in order to be able to determine general patterns. Because the effects of management intensity may vary across species with different life-history traits, we aim to contrast patterns of diversity between species based on the level of niche specialisation, dispersal ability, and reproductive mode.


Sample collection

The first step of our project is to collect samples for DNA sequencing from a broad range of plant and animal species. To be able to test for forest management effects, all of these species should be frequent and occur along the gradient of forest management intensity. We collect fresh DNA samples of ten forest herbs, grasses, and ferns. For the arthropod samples we draw on the wealth of samples that have been collected previously and stored in existing collections. We mainly focus on beetle species spanning a range of different dispersal abilities.

Picture: The photo shows a sunlit winter forest with a large area of flowering wood anemones stretching across the ground.
© Henri Thomassen

Sequencing

To estimate genetic diversity, we will sequence the thousands of individuals that we collect. We will use a combination of pooled ddRAD (double-digest restriction associated DNA) for the plants and low-coverage whole-genome sequencing (WGS) for the arthropods.


Effects of forest management on genetic diversity

We will test the following hypotheses:

  1. The genetic diversity of all species – regardless of dispersal ability, reproductive mode, or niche specialisation – is affected by management intensity (Fig. 1).
  2. The effect of management intensity on genetic diversity is stronger in bad dispersers / specialists / selfers than in good dispersers / generalists / outcrossers (Fig. 1).
Picture: The graph shows information on the expected relationship between genetic diversity and forest management intensity.
Fig. 1. expected relationship between genetic diversity and forest management intensity (FMI) contrasted by life history traits. beta diversity is defined as either difference in alpha diversity (middle panel) or divergence (FST, right panel). the polygon in the right panel represents the expected boundaries of a point cloud

To do so, we will correlate alpha and beta genetic diversity to management intensity. It is important to note that genetic diversity within and between populations is not only potentially influenced by management practices but also by other factors that will be accounted for, such as intrinsic life-history traits, local environmental conditions, and structural connectivity of the landscape.

The relation between genetic diversity and species diversity

Despite theory predicting a correlation between genetic and species diversity due to parallel or causal effects, empirical evidence from natural systems is partial. We expect that management intensity affects both levels of diversity, and we thus expect a stronger correlation along sites that vary in the management intensity. We will thus test the hypothesis that genetic diversity is related to species diversity within unmanaged forests only for some species, but across a gradient of management intensity for all species.


Doc
BEpipeR: a user-friendly, flexible, and scalable data synthesis pipeline for the Biodiversity Exploratories and other research consortia
BEpipeR: eine benutzerfreundliche, flexible und skalierbare Datensynthese-Pipeline für die Biodiversity Exploratories und andere Forschungskonsortien
Glück M., Bossdorf O., Thomassen H. A. (2024): BEpipeR: a user-friendly, flexible, and scalable data synthesis pipeline for the Biodiversity Exploratories and other research consortia. F1000Research

Scientific assistants

Prof. Dr. Oliver Bossdorf
Project manager
Prof. Dr. Oliver Bossdorf
Eberhard Karls Universität Tübingen
PD Dr. Henri A. Thomassen
Project manager
PD Dr. Henri A. Thomassen
Eberhard Karls Universität Tübingen
Marcel Glück
Employee
Marcel Glück
Eberhard Karls Universität Tübingen
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