Using multilevel models to identify drivers of landscape genetic structure among management areas

Research output: Contribution to journalArticle

Abstract

Landscape genetics offers a powerful approach to understanding species’ dispersal patterns. However, a central obstacle is to account for ecological processes operating at multiple spatial scales, while keeping research outcomes applicable to conservation
management. We address this challenge by applying a novel multilevel regression approach to model landscape drivers of genetic structure at both the resolution of individuals and at a spatial resolution relevant to management (i.e. local government management areas: LGAs) for the koala (Phascolartos cinereus) in Australia. Our approach
allows for the simultaneous incorporation of drivers of landscape-genetic relationships operating at multiple spatial resolutions. Using microsatellite data for 1106 koalas, we show that, at the individual resolution, foliage projective cover (FPC) facilitates high
gene flow (i.e. low resistance) until it falls below approximately 30%. Out of six additional land-cover variables, only highways and freeways further explained genetic distance after accounting for the effect of FPC. At the LGA resolution, there was significant variation in isolation-by-resistance (IBR) relationships in terms of their
slopes and intercepts. This was predominantly explained by the average resistance distance among LGAs, with a weaker effect of historical forest cover. Rates of recent landscape change did not further explain variation in IBR relationships among LGAs.
By using a novel multilevel model, we disentangle the effect of landscape resistance on gene flow at the fine resolution (i.e. among individuals) from effects occurring at coarser resolutions (i.e. among LGAs). This has important implications for our ability
to identify appropriate scale-dependent management actions.

Details

Authors
  • Rachael Dudaniec
  • Jonathan R. Rhodes
  • Jessica Worthington-Wilmer
  • Mitchell Lyons
  • Kristen E. Lee
  • Clive A. McAlpine
  • Frank N. Carrick
External organisations
  • University of Queensland
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Biological Sciences

Keywords

  • habitat fragmentation, landscape genetics, mammal dispersal, multilevel model, spatial scale, wildlife management
Original languageEnglish
Pages (from-to)3752-3765
Number of pages14
JournalMolecular Ecology
Volume22
Issue number14
Early online date2013 Jun 4
Publication statusPublished - 2013 Jul
Publication categoryResearch
Peer-reviewedYes
Externally publishedYes