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Conservation Genetics

, Volume 20, Issue 5, pp 1163–1174 | Cite as

Integrating measures of long-distance dispersal into vertebrate conservation planning: scaling relationships and parentage-based dispersal analysis in the koala

  • Janette A. NormanEmail author
  • Stephen S. Phillips
  • Caroline J. Blackmore
  • Ross Goldingay
  • Les Christidis
Research Article
  • 102 Downloads

Abstract

Improved knowledge of dispersal parameters across multiple populations is essential for the effective management of species exposed to ongoing threats from habitat loss, fragmentation and climate change. Currently, management decisions are based on incomplete or insufficient knowledge of key dispersal parameters, especially long-distance dispersal, and its role in maintaining metapopulation connectivity, facilitating range shifts under climate change, or enabling the colonization of new habitats. Using a combination of microsatellite-based population genetic analyses, scaling relationships and parentage-based dispersal analysis we investigated levels and patterns of long-distance dispersal in the koala. Using home range size as a scalar predicted spatial variation in maximum dispersal distance amongst regional populations (range 13.4–43.4 km), while parentage-based dispersal analysis showed that long-distance dispersal (> 11.2 km) accounted for 16.7–18.5% of movements in a focal population. Common movement patterns were discerned, despite varying levels of imprecision and bias, that suggest an important role for long-distance dispersal in maintaining metapopulation connectivity. Our results suggest that implementation of a systematic approach to the estimation of dispersal across multiple populations would benefit koala conservation and management. This will require the use of both empirical and simulation studies to quantify and minimize sources of imprecision and bias that can occur including those related to incomplete sampling, the presence of fine-scale spatial genetic structure and areas of localized inbreeding. As limitations associated with partial sampling are likely to remain an inherent feature of large-scale dispersal studies, a large number of loci should be assayed.

Keywords

Dispersal Scaling relationships Parentage analysis Metapopulation connectivity Koala 

Notes

Acknowledgements

This study benefited enormously from input provided by members of the Australian Wildlife Genomics Group (L. Neaves, M. Eldridge and R. Johnson), the New South Wales Koala Expert Advisory Committee, C. Moritz and W. Sherwin for which we are grateful. They offered differing perspectives and approaches for the estimation of dispersal parameters from molecular data that led us to consider more carefully the limitations and benefits of parentage-based dispersal analysis and whether it would be feasible to implement a systematic approach to the estimation of dispersal parameters to support conservation management of this vulnerable species. We gratefully acknowledge the assistance provided by L. Vass and volunteers of Friends of the Koala Inc. who undertook opportunistic collection of koala tissue samples and provided access to collection and translocation data for these animals. This study was supported by a Southern Cross University Research Seed Grant 2016 to RG and JAN and funding from New South Wales Roads and Maritime Services to Ecosure Pty Ltd as part of a research consultancy to LC, RG and SP.

Compliance with ethical standards

Human participants and animal consent

Animal capture and sampling procedures were performed under scientific license S12578 issued to SP by the NSW Office of Environment & Heritage, and an Animal Research Authority and associated Animal Care and Ethics Approval issued by the NSW Department of Primary Industries. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. SP is Managing Director of Biolink Ecological Consultants. This does not alter the authors’ adherence to data sharing policies.

Supplementary material

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© Springer Nature B.V. 2019

Authors and Affiliations

  1. 1.National Marine Science Centre, Southern Cross UniversityCoffs HarbourAustralia
  2. 2.School of Graduate StudiesSouthern Cross UniversityEast LismoreAustralia
  3. 3.Biolink Ecological ConsultantsUkiAustralia
  4. 4.School of Environment, Science and EngineeringSouthern Cross UniversityEast LismoreAustralia
  5. 5.School of BiosciencesUniversity of MelbourneParkvilleAustralia

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