Tree Genetics & Genomes

, 13:71

A meta-analysis of molecular marker genetic datasets for eastern Africa trees supports the utility of potential natural vegetation maps for planning climate-smart restoration initiatives

  • Ian K. Dawson
  • Paulo van Breugel
  • Richard Coe
  • Roeland Kindt
  • Maarten van Zonneveld
  • Jens-Peter B. Lillesø
  • Lars Graudal
  • Alice Muchugi
  • Joanne Russell
  • Ramni Jamnadass
Original Article

DOI: 10.1007/s11295-017-1155-7

Cite this article as:
Dawson, I.K., van Breugel, P., Coe, R. et al. Tree Genetics & Genomes (2017) 13: 71. doi:10.1007/s11295-017-1155-7
Part of the following topical collections:
  1. Gene Conservation

Abstract

Forest and woodland landscape restoration is a key undertaking of renewed interest for forestry and conservation practitioners, but is hampered by the lack of information on the distributions of tree species and of patterns of intra-specific genetic variation. Through the first meta-analysis of its type, we here tested the utility of a high-resolution potential natural vegetation (PNV) map for eastern Africa (vegetationmap4africa) for supporting restoration activities by comparison with 20 molecular marker genetic datasets, identified through literature review and other sources, for ten indigenous tree species. Our analysis indicated that site suitability and stability values from PNV-based ecological niche modelling involving current and past climate scenarios were positively related to population genetic diversity values revealed by molecular markers, supporting the value of PNV maps for the practical planning of restoration activities accounting for anthropogenic climate change. Furthermore, population pairwise genetic divergence was strongly positively correlated with population pairwise geographic distances for most datasets, indicating generalizable sampling implications for tree genetic resource conservation in the region. Population pairwise genetic divergence was however not well explained by sampling across PNV and wider physiognomic types, possibly due to molecular markers’ adaptive neutrality and high rates of recombination in trees, among other factors. Patterns of neutral molecular marker variation are thus no substitute for trials of adaptive variation for confirming or refuting the utility of vegetation boundaries in defining tree planting zones. We discuss the importance of results for eastern Africa and more widely.

Keywords

Adaptive neutrality Ecological niche modelling Landscape restoration Molecular marker genetic variation Potential natural vegetation vegetationmap4africa 

Supplementary material

11295_2017_1155_MOESM1_ESM.pdf (288 kb)
Online Resource 1(PDF 288 kb)
11295_2017_1155_MOESM2_ESM.xlsx (138 kb)
Online Resource 2(XLSX 137 kb)
11295_2017_1155_MOESM3_ESM.pdf (324 kb)
Online Resource 3(PDF 324 kb)
11295_2017_1155_MOESM4_ESM.pdf (200 kb)
Online Resource 4(PDF 199 kb)
11295_2017_1155_MOESM5_ESM.pdf (178 kb)
Online Resource 5(PDF 178 kb)
11295_2017_1155_MOESM6_ESM.pdf (263 kb)
Online Resource 6(PDF 263 kb)
11295_2017_1155_MOESM7_ESM.pdf (343 kb)
Online Resource 7(PDF 343 kb)
11295_2017_1155_MOESM8_ESM.pdf (332 kb)
Online Resource 8(PDF 332 kb)

Copyright information

© Springer-Verlag Berlin Heidelberg 2017

Authors and Affiliations

  • Ian K. Dawson
    • 1
    • 2
  • Paulo van Breugel
    • 3
  • Richard Coe
    • 1
    • 4
  • Roeland Kindt
    • 1
  • Maarten van Zonneveld
    • 5
  • Jens-Peter B. Lillesø
    • 3
  • Lars Graudal
    • 1
    • 3
  • Alice Muchugi
    • 1
  • Joanne Russell
    • 2
  • Ramni Jamnadass
    • 1
  1. 1.World Agroforestry CentreNairobiKenya
  2. 2.Cell and Molecular SciencesJames Hutton InstituteDundeeUK
  3. 3.Forest, Nature and Biomass, Department of Geosciences and Natural Resource ManagementUniversity of CopenhagenFrederiksberg CDenmark
  4. 4.Statistical Services CentreUniversity of ReadingReadingUK
  5. 5.Bioversity InternationalTurrialbaCosta Rica

Personalised recommendations