5 Works

Data from: Spending limited resources on de-extinction could lead to net biodiversity loss

Joseph R. Bennett, Richard F. Maloney, Tammy E. Steeves, James Brazill-Boast, Hugh P. Possingham & Phillip J. Seddon
There is contentious debate surrounding the merits of de-extinction as a biodiversity conservation tool. Here, we use extant analogues to predict conservation actions for potential de-extinction candidate species from New Zealand and the Australian state of New South Wales, and use a prioritization protocol to predict the impacts of reintroducing and maintaining populations of these species on conservation of extant threatened species. Even using the optimistic assumptions that resurrection of species is externally sponsored, and...

Data from: Higher-order interactions capture unexplained complexity in diverse communities

Margaret Mayfield & Daniel Stouffer
Natural communities are well known to be maintained by many complex processes. Despite this, the practical aspects of studying them often require some simplification, such as the widespread assumption that direct, additive competition captures the important details about how interactions between species impact community diversity. On the other hand, more complex non-additive ‘higher-order’ interactions, are assumed to be negligible or absent. Notably, these assumptions are poorly supported and have major consequences for the accuracy with...

Data from: Bayesian phylogenetic estimation of clade ages supports trans-atlantic dispersal of cichlid fishes

Michael Matschiner, Zuzana Musilová, Julia M.I. Barth, Zuzana Starostová, Walter Salzburger, Mike Steel & Remco Bouckaert
Divergence-time estimation based on molecular phylogenies and the fossil record has provided insights into fundamental questions of evolutionary biology. In Bayesian node dating, phylogenies are commonly time calibrated through the specification of calibration densities on nodes representing clades with known fossil occurrences. Unfortunately, the optimal shape of these calibration densities is usually unknown and they are therefore often chosen arbitrarily, which directly impacts the reliability of the resulting age estimates. As possible solutions to this...

Data from: Low spatial genetic differentiation associated with rapid recolonization in the New Zealand fur seal Arctocephalus forsteri

Nicolas Dussex, Bruce C. Robertson, Alexander T. Salis, Aleksandr Kalinin, Hugh Best & Neil J. Gemmell
Population declines resulting from anthropogenic activities are of major consequence for the long-term survival of species because the resulting loss of genetic diversity can lead to extinction via the effects of inbreeding depression, fixation of deleterious mutations, and loss of adaptive potential. Otariid pinnipeds have been exploited commercially to near extinction with some species showing higher demographic resilience and recolonization potential than others. The New Zealand fur seal (NZFS) was heavily impacted by commercial sealing...

Data from: Building strong relationships between conservation genetics and primary industry leads to mutually beneficial genomic advances

Stephanie J. Galla, Thomas R. Buckley, Rob Elshire, Marie L. Hale, Michael Knapp, John McCallum, Roger Moraga, Anna W. Santure, Phillip Wilcox & Tammy E. Steeves
Several reviews in the past decade have heralded the benefits of embracing high-throughput sequencing technologies to inform conservation policy and the management of threatened species, but few have offered practical advice on how to expedite the transition from conservation genetics to conservation genomics. Here, we argue that an effective and efficient way to navigate this transition is to capitalize on emerging synergies between conservation genetics and primary industry (e.g., agriculture, fisheries, forestry and horticulture). Here,...

Registration Year

  • 2016

Resource Types

  • Dataset


  • University of Canterbury
  • University of Otago
  • University of Auckland
  • Department of Conservation
  • University of Queensland
  • Centre of Excellence for Environmental Decisions
  • University of Oslo
  • Carleton University
  • University of Basel