The consequences of tree disease and pre-emptive felling on functional and genetic connectivity for woodland invertebrates

Fiona Anne Plenderleith* (Corresponding Author), Stephen Palmer, Justin Travis, Lesley Lancaster, Jenni Stockan, Ruth Mitchell

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Trees outside woodlands facilitate dispersal of woodland invertebrates and may
buffer against fragmentation impacts. European ash (Fraxinus excelsior) is common outside woodlands but is threatened by the fungal disease ash dieback (Hymenoscyphus fraxineus). Loss of ash trees to disease or pre-emptive felling could represent a substantial loss in connectivity. We assess the impact of tree disease and the pre-emptive felling of non woodland ash trees on dispersal and gene flow of woodland invertebrates. We use a stochastic individual-based modelling platform, RangeShifter, to explore impacts of tree loss on the spatial dynamics of ‘virtual’ ash-reliant insects, species which depend on ash to complete their life cycle, with varying dispersal abilities and population densities. We simulate the loss of individual treesin and out of woodlands using current tree cover data from real world landscapes and estimate functional and genetic connectivity in relation to species specific habitat-dependent movement costs and the likelihood to move in a straight line. Removal of 10 % of ash trees resulted in an increase in dispersal mortality of up to 14.6 %, and an increase in isolated woodlands (receiving no immigrants) of up to 2.9 %. In some landscapes this resulted in increased isolation by distance (IBD - correlation between genetic
and geographic distance). Carrying capacity impacted the proportion of isolated patches and IBD. Species experiencing high dispersal cost were less successful at dispersing under high tree loss, and this decreased geneflow. The consequences of tree loss for woodland connectivity are influenced by the species dispersal traits, but the consequences for gene flow depend on the arrangement of trees within the landscape. Therefore, the focal landscape must be represented explicitly when predicting the impacts of tree diseases on connectivity for a given species.
Original languageEnglish
Article number101820
Number of pages12
JournalEcological Informatics
Volume72
Early online date28 Sept 2022
DOIs
Publication statusPublished - Dec 2022

Bibliographical note

Funding
FAP was funded by the Macaulay Development Trust and the Woodland Trust. RJM and JAS were supported by the Scottish Government’s Rural and Environment Research and Analysis Directorate 2016-2021 strategic research programme. Development by SCFP of the landscape genetics capability in the customised version of RangeShifter was funded by programme Blanc of l’Agence nationale de la recherche. JMJT was supported by NERC grant NE/T006935/1 ‘Wildlife Corridors: Do they work and who benefits?’

Acknowledgments
We thank the Macaulay Development Trust and the Woodland Trust for funding FAP, the Scottish Government’s Rural and Environment Research and Analysis Directorate for funding RJM and JAS, programme Blanc of l’Agence nationale de la recherche for funding SCFP, and NERC for funding JT. We thank the Woodland Trust for access to the National Canopy Map for England and Wales

Data Availability Statement

The RangeShifter version, input files, and R code used to model tree removal, analyse data, and create figures are provided on a GitHub repository (https://github.com/fiplend/AshConnectivity).

Keywords

  • Connectivity
  • Fraxinus excelsior
  • Individual-based models
  • Landscape genetics
  • RangeShifter
  • Trees outside woodlands

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