Linking genomics and fish conservation decision making: a review

被引:24
作者
Bernos, Thais A. [1 ,2 ]
Jeffries, Ken M. [3 ]
Mandrak, Nicholas E. [1 ,2 ]
机构
[1] Univ Toronto, Dept Ecol & Evolutionary Biol, Toronto, ON, Canada
[2] Univ Toronto Scarborough, Dept Biol Sci, Scarborough, ON, Canada
[3] Univ Manitoba, Dept Biol Sci, Winnipeg, MB, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
Adaptive capacity; Climate change; Invasive species; Management units; Monitoring; Conservation decision framework; POPULATION GENOMICS; ENVIRONMENTAL DNA; GENE FLOW; ADAPTATION; MANAGEMENT; COPRODUCTION; CLIMATE; KNOWLEDGE; POLICY; INTROGRESSION;
D O I
10.1007/s11160-020-09618-8
中图分类号
S9 [水产、渔业];
学科分类号
0908 ;
摘要
Despite the promising applications of genome-wide information to conservation, the field of conservation genomics remains hindered by a research-practice gap. Identifying the benefits from genomics in relation to fish conservation planning and decision-making could contribute to bridging this gap. The goals of our study were twofold. First, we reviewed the fish conservation genomic literature to determine how genomic information has been used to inform conservation decision making; and second, we examined how genomic information can be linked to an existing conservation decision framework. Our review showed that, as fish conservation genomics studies accumulate over time, collaborations between researchers and conservation practitioners are becoming increasingly frequent. While the field is dominated by studies of economically important families (e.g. salmonids, acipenserids) in first-world countries (North America, Europe), it has a broad taxonomic coverage where species of both local and global conservation concern are well represented. We also show that genomic information can readily be harnessed to guide decisions within existing conservation decision frameworks, from the conceptualization (identification of conservation targets and threats) to the implementation and the monitoring of conservation actions. In addition, our review identifies some limitations related to genomic inferences for conservation and proposes solutions to address these uncertainties and improve communication between conservation genomic scientists and practitioners. For genomic researchers, we outline how conservation decisions are made; for practitioners, we illustrate how genomic information can inform decision-making.
引用
收藏
页码:587 / 604
页数:18
相关论文
共 108 条
  • [11] Rapid genetic and morphologic divergence between captive and wild populations of the endangered Leon Springs pupfish, Cyprinodon bovinus
    Black, Andrew N.
    Seears, Heidi A.
    Hollenbeck, Christopher M.
    Samollow, Paul B.
    [J]. MOLECULAR ECOLOGY, 2017, 26 (08) : 2237 - 2256
  • [12] Riverscape genomics of a threatened fish across a hydroclimatically heterogeneous river basin
    Brauer, Chris J.
    Hammer, Michael P.
    Beheregaray, Luciano B.
    [J]. MOLECULAR ECOLOGY, 2016, 25 (20) : 5093 - 5113
  • [13] Absolute abundance of southern bluefin tuna estimated by close-kin mark-recapture
    Bravington, Mark V.
    Grewe, Peter M.
    Davies, Campbell R.
    [J]. NATURE COMMUNICATIONS, 2016, 7
  • [14] Population Structure With Localized Haplotype Clusters
    Browning, Sharon R.
    Weir, Bruce S.
    [J]. GENETICS, 2010, 185 (04) : 1337 - U302
  • [15] Phylogenomic history of enigmatic pygmy perches: implications for biogeography, taxonomy and conservation
    Buckley, Sean J.
    Domingos, Fabricius M. C. B.
    Attard, Catherine R. M.
    Brauer, Chris J.
    Sandoval-Castillo, Jonathan
    Lodge, Ryan
    Unmack, Peter J.
    Beheregaray, Luciano B.
    [J]. ROYAL SOCIETY OPEN SCIENCE, 2018, 5 (06):
  • [16] Knowledge Co-production at the Research-Practice Interface: Embedded Case Studies from Urban Forestry
    Campbell, Lindsay K.
    Svendsen, Erika S.
    Roman, Lara A.
    [J]. ENVIRONMENTAL MANAGEMENT, 2016, 57 (06) : 1262 - 1280
  • [17] Chafin TK, 2019, 692509 BIORXIV, DOI [10.1101/692509, DOI 10.1101/692509]
  • [18] Knowledge coevolution: generating new understanding through bridging and strengthening distinct knowledge systems and empowering local knowledge holders
    Chapman, J. M.
    Schott, S.
    [J]. SUSTAINABILITY SCIENCE, 2020, 15 (03) : 931 - 943
  • [19] The utility of transcriptomics in fish conservation
    Connon, Richard E.
    Jeffries, Ken M.
    Komoroske, Lisa M.
    Todgham, Anne E.
    Fangue, Nann A.
    [J]. JOURNAL OF EXPERIMENTAL BIOLOGY, 2018, 221 (02)
  • [20] Conservation Measures Partnership, 2013, OP STAND PRACT CONV