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Hogg CJ. Translating genomic advances into biodiversity conservation. Nat Rev Genet 2024; 25:362-373. [PMID: 38012268 DOI: 10.1038/s41576-023-00671-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/12/2023] [Indexed: 11/29/2023]
Abstract
A key action of the new Global Biodiversity Framework is the maintenance of genetic diversity in all species to safeguard their adaptive potential. To achieve this goal, a translational mindset, which aims to convert results of basic research into direct practical benefits, needs to be applied to biodiversity conservation. Despite much discussion on the value of genomics to conservation, a disconnect between those generating genomic resources and those applying it to biodiversity management remains. As global efforts to generate reference genomes for non-model species increase, investment into practical biodiversity applications is critically important. Applications such as understanding population and multispecies diversity and longitudinal monitoring need support alongside education for policymakers on integrating the data into evidence-based decisions. Without such investment, the opportunity to revolutionize global biodiversity conservation using genomics will not be fully realized.
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Affiliation(s)
- Carolyn J Hogg
- School of Life & Environmental Sciences, The University of Sydney, Sydney, NSW, Australia.
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2
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Gargiulo R, Decroocq V, González‐Martínez SC, Paz‐Vinas I, Aury J, Lesur Kupin I, Plomion C, Schmitt S, Scotti I, Heuertz M. Estimation of contemporary effective population size in plant populations: Limitations of genomic datasets. Evol Appl 2024; 17:e13691. [PMID: 38707994 PMCID: PMC11069024 DOI: 10.1111/eva.13691] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Revised: 03/22/2024] [Accepted: 04/03/2024] [Indexed: 05/07/2024] Open
Abstract
Effective population size (N e) is a pivotal evolutionary parameter with crucial implications in conservation practice and policy. Genetic methods to estimate N e have been preferred over demographic methods because they rely on genetic data rather than time-consuming ecological monitoring. Methods based on linkage disequilibrium (LD), in particular, have become popular in conservation as they require a single sampling and provide estimates that refer to recent generations. A software program based on the LD method, GONE, looks particularly promising to estimate contemporary and recent-historical N e (up to 200 generations in the past). Genomic datasets from non-model species, especially plants, may present some constraints to the use of GONE, as linkage maps and reference genomes are seldom available, and SNP genotyping is usually based on reduced-representation methods. In this study, we use empirical datasets from four plant species to explore the limitations of plant genomic datasets when estimating N e using the algorithm implemented in GONE, in addition to exploring some typical biological limitations that may affect N e estimation using the LD method, such as the occurrence of population structure. We show how accuracy and precision of N e estimates potentially change with the following factors: occurrence of missing data, limited number of SNPs/individuals sampled, and lack of information about the location of SNPs on chromosomes, with the latter producing a significant bias, previously unexplored with empirical data. We finally compare the N e estimates obtained with GONE for the last generations with the contemporary N e estimates obtained with the programs currentNe and NeEstimator.
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Affiliation(s)
| | | | | | - Ivan Paz‐Vinas
- Department of BiologyColorado State UniversityFort CollinsColoradoUSA
- CNRS, ENTPE, UMR5023 LEHNAUniversité Claude Bernard Lyon 1VilleurbanneFrance
| | - Jean‐Marc Aury
- Génomique Métabolique, Genoscope, Institut François Jacob, CEA, CNRS, Univ EvryUniversité Paris‐SaclayEvryFrance
| | | | | | - Sylvain Schmitt
- AMAPUniv. Montpellier, CIRAD, CNRS, INRAE, IRDMontpellierFrance
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3
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Carroll C, Hoban S, Ray JC. Lessons from COP15 on effective scientific engagement in biodiversity policy processes. CONSERVATION BIOLOGY : THE JOURNAL OF THE SOCIETY FOR CONSERVATION BIOLOGY 2024; 38:e14192. [PMID: 37768193 DOI: 10.1111/cobi.14192] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Revised: 09/14/2023] [Accepted: 09/18/2023] [Indexed: 09/29/2023]
Abstract
The Kunming-Montreal Global Biodiversity Framework was adopted by parties to the Convention on Biological Diversity in December 2022. The aftermath of these negotiations provides an opportunity to draw lessons as to how ecological and evolutionary science can more effectively inform policy. We examined key challenges that limit effective engagement by scientists in the biodiversity policy process, drawing parallels with analogous challenges within global climate negotiations. Biodiversity is multifaceted, yet represents only one framing for nature's contributions to people, complicating the nexus between evidence and values in development of the framework's targets. Processes generating biodiversity and driving its loss are multiscalar, challenging development of an evidence base for globally standardized targets. We illustrated these challenges by contrasting development of 2 key elements of the framework. The genetic diversity element of the framework's target 4 is directly related to the framework's primary goals, but its complexity required development of novel engagement skills. The target for protected areas was easily communicated but more indirectly related to biodiversity outcomes; evidence from ecological and social science was essential to communicating the context and limitations of this relationship. Scientists can strengthen the effectiveness of global agreements and address challenges arising from complexity, scaling, capacity limitations, and the interplay of science and values, if they can prioritize communication, consensus-building, and networking skills and engage throughout the process, from development of an evidence base to implementation.
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Affiliation(s)
- Carlos Carroll
- Klamath Center for Conservation Research, Orleans, California, USA
| | - Sean Hoban
- Center for Tree Science, The Morton Arboretum, Lisle, Illinois, USA
| | - Justina C Ray
- Wildlife Conservation Society Canada, Toronto, Ontario, Canada
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4
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Kurland S, Saha A, Keehnen N, de la Paz Celorio-Mancera M, Díez-Del-Molino D, Ryman N, Laikre L. New indicators for monitoring genetic diversity applied to alpine brown trout populations using whole genome sequence data. Mol Ecol 2024; 33:e17213. [PMID: 38014725 DOI: 10.1111/mec.17213] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Revised: 11/03/2023] [Accepted: 11/07/2023] [Indexed: 11/29/2023]
Abstract
International policy recently adopted commitments to maintain genetic diversity in wild populations to secure their adaptive potential, including metrics to monitor temporal trends in genetic diversity - so-called indicators. A national programme for assessing trends in genetic diversity was recently initiated in Sweden. Relating to this effort, we systematically assess contemporary genome-wide temporal trends (40 years) in wild populations using the newly adopted indicators and whole genome sequencing (WGS). We use pooled and individual WGS data from brown trout (Salmo trutta) in eight alpine lakes in protected areas. Observed temporal trends in diversity metrics (nucleotide diversity, Watterson's ϴ and heterozygosity) lie within proposed acceptable threshold values for six of the lakes, but with consistently low values in lakes above the tree line and declines observed in these northern-most lakes. Local effective population size is low in all lakes, highlighting the importance of continued protection of interconnected systems to allow genetic connectivity for long-term viability of these populations. Inbreeding (FROH ) spans 10%-30% and is mostly represented by ancient (<1 Mb) runs of homozygosity, with observations of little change in mutational load. We also investigate adaptive dynamics over evolutionarily short time frames (a few generations); identifying putative parallel selection across all lakes within a gene pertaining to skin pigmentation as well as candidates of selection unique to specific lakes and lake systems involved in reproduction and immunity. We demonstrate the utility of WGS for systematic monitoring of natural populations, a priority concern if genetic diversity is to be protected.
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Affiliation(s)
- Sara Kurland
- Division of Population Genetics, Department of Zoology, Stockholm University, Stockholm, Sweden
- Department of Earth Sciences, Natural Resources and Sustainable Development, Uppsala University, Uppsala, Sweden
| | - Atal Saha
- Division of Population Genetics, Department of Zoology, Stockholm University, Stockholm, Sweden
- Centre for Coastal Research, Department of Natural Sciences, University of Agder, Kristiansand, Norway
| | - Naomi Keehnen
- Division of Population Genetics, Department of Zoology, Stockholm University, Stockholm, Sweden
- Department of Ecology, SLU, Uppsala, Sweden
| | | | - David Díez-Del-Molino
- Division of Population Genetics, Department of Zoology, Stockholm University, Stockholm, Sweden
- Centre for Palaeogenetics, Stockholm, Sweden
- Department of Bioinformatics and Genetics, Swedish Museum of Natural History, Stockholm, Sweden
| | - Nils Ryman
- Division of Population Genetics, Department of Zoology, Stockholm University, Stockholm, Sweden
| | - Linda Laikre
- Division of Population Genetics, Department of Zoology, Stockholm University, Stockholm, Sweden
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5
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Jarausch A, von Thaden A, Sin T, Corradini A, Pop MI, Chiriac S, Gazzola A, Nowak C. Assessment of genetic diversity, population structure and wolf-dog hybridisation in the Eastern Romanian Carpathian wolf population. Sci Rep 2023; 13:22574. [PMID: 38114536 PMCID: PMC10730609 DOI: 10.1038/s41598-023-48741-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Accepted: 11/29/2023] [Indexed: 12/21/2023] Open
Abstract
The Carpathian Mountains have been constantly inhabited by grey wolves and present one of the largest distribution areas in Europe, comprising between 2300 and 2700 individuals in Romania. To date, however, relatively little is known about the Romanian wolf population. We aimed to provide a first assessment of genetic diversity, population structure and wolf-dog hybridisation based on 444 mostly non-invasively collected samples in the Eastern Romanian Carpathians. Pack reconstruction and analysis of population genetic parameters were performed with mitochondrial DNA control-region sequencing and microsatellite genotyping. We found relatively high levels of genetic diversity, which is similar to values found in previous studies on Carpathian wolves from Poland and Slovakia, as well as to the long-lasting Dinaric-Balkan wolf population. We found no significant population structure in our study region, suggesting effective dispersal and admixture. Analysis of wolf-dog hybridisation using a Single Nucleotide Polymorphism panel optimised for hybrid detection revealed low rates of admixture between wolves and domestic dogs. Our results provide evidence for the existence of a genetically viable wolf population in the Romanian Carpathians. The genetic data obtained in this study may serve as valuable baseline information for the elaboration of monitoring standards and management plans for wolves in Romania.
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Affiliation(s)
- Anne Jarausch
- Conservation Genetics Group, Senckenberg Research Institute and Natural History Museum Frankfurt, Clamecystraße 12, 63571, Gelnhausen, Germany.
- Department of Biological Sciences, Johann Wolfgang Goethe-University, Biologicum, Max-von-Laue-Straße 9, 60438, Frankfurt am Main, Germany.
| | - Alina von Thaden
- Conservation Genetics Group, Senckenberg Research Institute and Natural History Museum Frankfurt, Clamecystraße 12, 63571, Gelnhausen, Germany
- LOEWE Centre for Translational Biodiversity Genomics (LOEWE-TBG), Senckenberganlage 25, 60325, Frankfurt am Main, Germany
| | - Teodora Sin
- Department of Systems Ecology and Sustainability, Faculty of Biology, University of Bucharest, Splaiul Independentei 91-95, 050095, Bucharest, Romania
- Association for the Conservation of Biological Diversity, Ion Creanga 12, 620083, Focsani, Romania
| | - Andrea Corradini
- Association for the Conservation of Biological Diversity, Ion Creanga 12, 620083, Focsani, Romania
- Animal Ecology Unit, Research and Innovation Centre, Fondazione Edmund Mach, Via Edmund Mach 1, 38098, San Michele all'Adige, TN, Italy
- NBFC, National Biodiversity Future Center, 90133, Palermo, PA, Italy
| | - Mihai I Pop
- Association for the Conservation of Biological Diversity, Ion Creanga 12, 620083, Focsani, Romania
| | - Silviu Chiriac
- Environmental Protection Agency, Vrancea County, Dinicu Golescu 2, 620106, Focsani, Romania
| | - Andrea Gazzola
- Association for the Conservation of Biological Diversity, Ion Creanga 12, 620083, Focsani, Romania
| | - Carsten Nowak
- Conservation Genetics Group, Senckenberg Research Institute and Natural History Museum Frankfurt, Clamecystraße 12, 63571, Gelnhausen, Germany
- LOEWE Centre for Translational Biodiversity Genomics (LOEWE-TBG), Senckenberganlage 25, 60325, Frankfurt am Main, Germany
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6
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Cook CN, Redford KH, Schwartz MW. Species conservation in the era of genomic science. Bioscience 2023; 73:885-890. [PMID: 38162573 PMCID: PMC10755706 DOI: 10.1093/biosci/biad098] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Revised: 10/11/2023] [Accepted: 10/20/2023] [Indexed: 01/03/2024] Open
Abstract
The exponential increase in the availability of genomic data, derived from sequencing thousands of loci or whole genomes, provides exciting new insights into the diversity of life. However, it can also challenge established species concepts and existing management regimes derived from these concepts. Genomic data can help inform decisions about how to manage genetic diversity, but policies that protect identified taxonomic entities can generate conflicting recommendations that create challenges for practitioners. We outline three dimensions of management concern that arise when facing new and potentially conflicting interpretations of genomic data: defining conservation entities, deciding how to manage diversity, and evaluating the risks and benefits of management actions. We highlight the often-underappreciated role of values in influencing management choices made by individuals, scientists, practitioners, the public, and other stakeholders. Such values influence choices through mechanisms such as the Rashomon effect, whereby management decisions are complicated by conflicting perceptions of the causes and consequences of the conservation problem. To illustrate how this might operate, we offer a hypothetical example of this effect for the interpretation of genomic data and its implications for conservation management. Such value-based decisions can be challenged by the rigidity of existing management regimes, making it difficult to achieve the necessary flexibility to match the changing biological understanding. We finish by recommending that both conservation geneticists and practitioners reflect on their respective values, responsibilities, and roles in building a more robust system of species management. This includes embracing the inclusion of stakeholders in decision-making because, as in many cases, there are not objectively defensible right or wrong decisions.
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Affiliation(s)
- Carly N Cook
- Monash University's School of Biological Sciences, Melbourne, Australia
| | - Kent H Redford
- University of New England's Department of Environmental Studies, Biddeford, Maine, United States
| | - Mark W Schwartz
- Department of Environmental Science and Policy, University of California, Davis, Davis, California, United States
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Kurland S, Ryman N, Hössjer O, Laikre L. Effects of subpopulation extinction on effective size (Ne) of metapopulations. CONSERV GENET 2023. [DOI: 10.1007/s10592-023-01510-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/29/2023]
Abstract
AbstractPopulation extinction is ubiquitous in all taxa. Such extirpations can reduce intraspecific diversity, but the extent to which genetic diversity of surviving populations are affected remains largely unclear. A key concept in this context is the effective population size (Ne), which quantifies the rate at which genetic diversity within populations is lost. Ne was developed for single, isolated populations while many natural populations are instead connected to other populations via gene flow. Recent analytical approaches and software permit modelling of Ne of interconnected populations (metapopulations). Here, we apply such tools to investigate how extinction of subpopulations affects Ne of the metapopulation (NeMeta) and of separate surviving subpopulations (NeRx) under different rates and patterns of genetic exchange between subpopulations. We assess extinction effects before and at migration-drift equilibrium. We find that the effect of extinction on NeMeta increases with reduced connectivity, suggesting that stepping stone models of migration are more impacted than island-migration models when the same number of subpopulations are lost. Furthermore, in stepping stone models, after extinction and before a new equilibrium has been reached, NeRx can vary drastically among surviving subpopulations and depends on their initial spatial position relative to extinct ones. Our results demonstrate that extinctions can have far more complex effects on the retention of intraspecific diversity than typically recognized. Metapopulation dynamics need heightened consideration in sustainable management and conservation, e.g., in monitoring genetic diversity, and are relevant to a wide range of species in the ongoing extinction crisis.
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Hoban S, Bruford MW, da Silva JM, Funk WC, Frankham R, Gill MJ, Grueber CE, Heuertz M, Hunter ME, Kershaw F, Lacy RC, Lees C, Lopes-Fernandes M, MacDonald AJ, Mastretta-Yanes A, McGowan PJK, Meek MH, Mergeay J, Millette KL, Mittan-Moreau CS, Navarro LM, O'Brien D, Ogden R, Segelbacher G, Paz-Vinas I, Vernesi C, Laikre L. Genetic diversity goals and targets have improved, but remain insufficient for clear implementation of the post-2020 global biodiversity framework. CONSERV GENET 2023; 24:181-191. [PMID: 36683963 PMCID: PMC9841145 DOI: 10.1007/s10592-022-01492-0] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Accepted: 11/30/2022] [Indexed: 01/18/2023]
Abstract
Genetic diversity among and within populations of all species is necessary for people and nature to survive and thrive in a changing world. Over the past three years, commitments for conserving genetic diversity have become more ambitious and specific under the Convention on Biological Diversity's (CBD) draft post-2020 global biodiversity framework (GBF). This Perspective article comments on how goals and targets of the GBF have evolved, the improvements that are still needed, lessons learned from this process, and connections between goals and targets and the actions and reporting that will be needed to maintain, protect, manage and monitor genetic diversity. It is possible and necessary that the GBF strives to maintain genetic diversity within and among populations of all species, to restore genetic connectivity, and to develop national genetic conservation strategies, and to report on these using proposed, feasible indicators.
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Affiliation(s)
- Sean Hoban
- The Morton Arboretum, Center for Tree Science, Lisle, USA.,The University of Chicago, Chicago, USA
| | | | - Jessica M da Silva
- South African National Biodiversity Institute, Pretoria, South Africa.,Centre for Ecological Genomics and Wildlife Conservation, University of Johannesburg, Johannesburg, South Africa
| | - W Chris Funk
- Department of Biology, Colorado State University, Fort Collins, USA
| | - Richard Frankham
- School of Natural Sciences, Macquarie University, Sydney, NSW Australia
| | - Michael J Gill
- NatureServe, Biodiversity Indicators Program, Arlington, USA
| | - Catherine E Grueber
- School of Life and Environmental Sciences, Faculty of Science, The University of Sydney, Sydney, Australia
| | | | - Margaret E Hunter
- U.S. Geological Survey, Wetland and Aquatic Research Center, Gainesville, USA
| | - Francine Kershaw
- Oceans Division, Natural Resources Defense Council, NewYork, USA
| | - Robert C Lacy
- Chicago Zoological Society, Species Conservation Toolkit Initiative, Brookfield, USA
| | - Caroline Lees
- Conservation Planning Specialist Group, IUCN SSC, Auckland, New Zealand
| | | | - Anna J MacDonald
- Australian Antarctic Division, Department of Climate Change, Energy, the Environment and Water, Kingston, Australia
| | - Alicia Mastretta-Yanes
- Comisión Nacional para el Conocimiento y Uso de la Biodiversidad (CONABIO), Mexico City, Mexico.,Consejo Nacional de Ciencia Y Tecnología (CONACYT), Mexico City, Mexico
| | - Philip J K McGowan
- School of Natural and Environmental Sciences, Newcastle University, Newcastle Upon Tyne, UK
| | - Mariah H Meek
- Department of Integrative Biology; Ecology, Evolution, and Behavior Program, Michigan State University, AgBio Research, Lansing, USA
| | - Joachim Mergeay
- Research Institute for Nature and Forest, Geraardsbergen, Belgium
| | - Katie L Millette
- Group on Earth Observations Biodiversity Observation Network (GEO BON), McGill University, Montreal, Canada
| | - Cinnamon S Mittan-Moreau
- Kellogg Biological Station; Ecology and Evolutionary Biology, Michigan State University, Lansing, USA
| | | | | | - Rob Ogden
- Royal (Dick) School of Veterinary Studies and the Roslin Institute, University of Edinburgh, EH25 9RG, Midlothian, United Kingdom
| | | | - Ivan Paz-Vinas
- Department of Biology, Colorado State University, Fort Collins, USA
| | | | - Linda Laikre
- Department of Zoology, Stockholm University, Stockholm, Sweden
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9
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O'Brien D, Laikre L, Hoban S, Bruford MW, Ekblom R, Fischer MC, Hall J, Hvilsom C, Hollingsworth PM, Kershaw F, Mittan CS, Mukassabi T, Ogden R, Segelbacher G, Shaw RE, Vernesi C, MacDonald AJ. Bringing together approaches to reporting on within species genetic diversity. J Appl Ecol 2022. [DOI: 10.1111/1365-2664.14225] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
| | - Linda Laikre
- Division of Population Genetics Department of Zoology Stockholm University Stockholm Sweden
| | - Sean Hoban
- Center for Tree Science Lisle Illinois USA
| | | | - Robert Ekblom
- Wildlife Analysis Unit Swedish Environmental Protection Agency Stockholm Sweden
| | | | | | | | | | | | - Cinnamon S. Mittan
- Ecology and Evolutionary Biology Program Michigan State University East Lansing Michigan USA
| | - Tarek A. Mukassabi
- University of Benghazi Department of Botany, Faculty of Sciences Benghazi Libya
| | - Rob Ogden
- Royal (DIck) School of Veterinary Studies and the Roslin Institute University of Edinburgh Edinburgh UK
| | - Gernot Segelbacher
- Wildlife Ecology and Management University Freiburg Freiburg im Breisgau Germany
| | - Robyn E. Shaw
- Environmental and Conservation Sciences Murdoch University Perth Australia
| | - Cristiano Vernesi
- Forest Ecology Unit Research and Innovation Centre ‐ Fondazione Edmund Mach San Michele all'Adige Italy
| | - Anna J. MacDonald
- Australian Antarctic Division Department of Agriculture, Water and the Environment Kingston Tasmania Australia
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