Monitoring changes in genetic diversity

DNA is the most elemental level of biodiversity, drives the process of speciation, and underpins other levels of biodiversity, including functional traits, species and ecosystems. Until recently biodiversity indicators have largely overlooked data from the molecular tools that are available for measuring variation at the DNA level. More direct analysis of trends in genetic diversity are now feasible and are ready to be incorporated into biodiversity monitoring. This chapter explores the current state-of-the-art in genetic monitoring, with an emphasis on new molecular tools and the richness of data they provide to supplement existing approaches. We also briefly consider proxy approaches that may be useful for many-species, global scale monitoring cases

The EDGE2 protocol: Advancing the prioritisation of Evolutionarily Distinct and Globally Endangered species for practical conservation action

The conservation of evolutionary history has been linked to increased benefits for humanity and can be captured by phylogenetic diversity (PD). The Evolutionarily Distinct and Globally Endangered (EDGE) metric has, since 2007, been used to prioritise threatened species for practical conservation that embody large amounts of evolutionary history. While there have been important research advances since 2007, they have not been adopted in practice because of a lack of consensus in the conservation community. Here, building from an interdisciplinary workshop to update the existing EDGE approach, we present an “EDGE2” protocol that draws on a decade of research and innovation to develop an improved, consistent methodology for prioritising species conservation efforts. Key advances include methods for dealing with uncertainty and accounting for the extinction risk of closely related species. We describe EDGE2 in terms of distinct components to facilitate future revisions to its constituent parts without needing to reconsider the whole. We illustrate EDGE2 by applying it to the world’s mammals. As we approach a crossroads for global biodiversity policy, this Consensus View shows how collaboration between academic and applied conservation biologists can guide effective and practical priority-setting to conserve biodiversity

The founding charter of the Genomic Observatories Network

The co-authors of this paper hereby state their intention to work together to launch the Genomic Observatories Network (GOs Network) for which this document will serve as its Founding Charter. We define a Genomic Observatory as an ecosystem and/or site subject to long-term scientific research, including (but not limited to) the sustained study of genomic biodiversity from single-celled microbes to multicellular organisms.An international group of 64 scientists first published the call for a global network of Genomic Observatories in January 2012. The vision for such a network was expanded in a subsequent paper and developed over a series of meetings in Bremen (Germany), Shenzhen (China), Moorea (French Polynesia), Oxford (UK), Pacific Grove (California, USA), Washington (DC, USA), and London (UK). While this community-building process continues, here we express our mutual intent to establish the GOs Network formally, and to describe our shared vision for its future. The views expressed here are ours alone as individual scientists, and do not necessarily represent those of the institutions with which we are affiliated.Neil Davies ... Andrew J Lowe ... et al. and GOs-CO

TARGET as a tool for prioritising biodiversity conservation payments on private land - a sensitivity analysis

The report is a companion to Barton, Faith et al. (2003) which motivates the use of the software TARGET for the prioritisation of biodiversity conservation payments on private land, or so-called “environmental service payments” in the Costa Rican context. The present report conducts an extensive sensitivity analysis for a number of variables that were deemed critical by managers reviewing initial TARGET results. Three different approaches to constructing the biodiversity indicators (attribute-based, PCA, and k-means) are followed, showing that the cost-efficient set of locations is most sensitive to this variable. The importance of the geographical scale and resolution of the environmental data for prioritisation of areas to receive payments is evaluated as these assumptions also implicitely define the comprehensiveness of the surrogate biodiversity indicator. Similarly, the generation of information on the opportunity cost of land-use for the whole study area is shown to be very sensitive to the GIS techniques used. Nevertheless, given an agreed set of assumptions on how to evaluate the existing georeferenced environmental and economic data – the TARGET algorithm provides quite robust and reliable sets of priority locations