Evolving spatial conservation prioritization with intraspecific genetic data.

[1]  Dalia A. Conde,et al.  The Earth BioGenome Project 2020: Starting the clock , 2022, Proceedings of the National Academy of Sciences.

[2]  Robert M. Waterhouse,et al.  The era of reference genomes in conservation genomics. , 2022, Trends in ecology & evolution.

[3]  A. Weeks,et al.  Conservation genetics as a management tool: The five best-supported paradigms to assist the management of threatened species , 2021, Proceedings of the National Academy of Sciences.

[4]  P. Feutry,et al.  Close‐kin methods to estimate census size and effective population size , 2021, Fish and Fisheries.

[5]  Sebastian E Toro Arana,et al.  Genetic diversity loss in the Anthropocene , 2021, bioRxiv.

[6]  S. Bogdanowicz,et al.  Population assignment tests uncover rare long-distance marine larval dispersal events. , 2021, Ecology.

[7]  Daniel S. Park,et al.  Areas of global importance for conserving terrestrial biodiversity, carbon and water , 2021, Nature Ecology & Evolution.

[8]  Brian K. Hand,et al.  Opportunities and challenges of macrogenetic studies , 2021, Nature Reviews Genetics.

[9]  P. Hedrick,et al.  The crucial role of genome-wide genetic variation in conservation , 2021, Proceedings of the National Academy of Sciences.

[10]  G. Edgar,et al.  A quantitative review of abundance-based species distribution models , 2021, bioRxiv.

[11]  Laura J. Pollock,et al.  Balancing conservation priorities for nature and for people in Europe , 2021, Science.

[12]  Maurizio Rossetto,et al.  A conservation genomics workflow to guide practical management actions , 2021, Global Ecology and Conservation.

[13]  S. Banks,et al.  Population genomics and conservation management of a declining tropical rodent , 2021, Heredity.

[14]  B. Shapiro,et al.  Conserving intraspecific variation for nature’s contributions to people , 2021, Nature Ecology & Evolution.

[15]  S. von der Heyden,et al.  Applying genomic data to seagrass conservation , 2020, Biodiversity and Conservation.

[16]  M. Beger,et al.  A comparison of genetic and genomic approaches to represent evolutionary potential in conservation planning , 2020, Biological Conservation.

[17]  Jeffrey O. Hanson,et al.  Conservation planning for adaptive and neutral evolutionary processes , 2020 .

[18]  Matthew V. Talluto,et al.  Protecting Biodiversity (in All Its Complexity): New Models and Methods. , 2020, Trends in ecology & evolution.

[19]  Rebecca K. Runting,et al.  Advancing Systematic Conservation Planning for Ecosystem Services. , 2020, Trends in ecology & evolution.

[20]  Brian K. Hand,et al.  Detecting population declines via monitoring the effective number of breeders (Nb) , 2020, Molecular ecology resources.

[21]  M. Fortin,et al.  Incorporating putatively neutral and adaptive genomic data into marine conservation planning , 2020, Conservation biology : the journal of the Society for Conservation Biology.

[22]  H. Possingham,et al.  Evaluating surrogates of genetic diversity for conservation planning , 2020, Conservation biology : the journal of the Society for Conservation Biology.

[23]  Ziheng Yang,et al.  Phylogenetic tree building in the genomic age , 2020, Nature Reviews Genetics.

[24]  C. Oosterhout Mutation load is the spectre of species conservation. , 2020 .

[25]  W. Funk,et al.  Population genomics for wildlife conservation and management , 2020, Molecular ecology.

[26]  P. Balvanera,et al.  Pervasive human-driven decline of life on Earth points to the need for transformative change , 2019, Science.

[27]  S. Gillings,et al.  A new framework of spatial targeting for single-species conservation planning , 2019, Landscape Ecology.

[28]  A. Hendry,et al.  Estimated six per cent loss of genetic variation in wild populations since the industrial revolution , 2019, Evolutionary applications.

[29]  Brenna R. Forester,et al.  Considering adaptive genetic variation in climate change vulnerability assessment reduces species range loss projections , 2019, Proceedings of the National Academy of Sciences.

[30]  Anna Metaxas,et al.  The current application of ecological connectivity in the design of marine protected areas , 2019, Global Ecology and Conservation.

[31]  M. Fortin,et al.  Limited dispersal explains the spatial distribution of siblings in a reef fish population , 2018, Marine Ecology Progress Series.

[32]  J. Diniz‐Filho,et al.  Overcoming the worst of both worlds: integrating climate change and habitat loss into spatial conservation planning of genetic diversity in the Brazilian Cerrado , 2018, Biodiversity and Conservation.

[33]  M. Kardos,et al.  The Peril of Gene-Targeted Conservation. , 2018, Trends in ecology & evolution.

[34]  J. Clobert,et al.  Demographic and genetic approaches to study dispersal in wild animal populations: A methodological review , 2018, Molecular ecology.

[35]  P. Alves,et al.  Integrative approaches to guide conservation decisions: Using genomics to define conservation units and functional corridors , 2018, Molecular ecology.

[36]  R. Vasconcelos,et al.  Combining molecular and landscape tools for targeting evolutionary processes in reserve design: An approach for islands , 2018, PloS one.

[37]  Mozes P. K. Blom,et al.  Real‐world conservation planning for evolutionary diversity in the Kimberley, Australia, sidesteps uncertain taxonomy , 2018 .

[38]  David Mouillot,et al.  Biologically representative and well‐connected marine reserves enhance biodiversity persistence in conservation planning , 2018 .

[39]  D. Garant,et al.  Wild GWAS—association mapping in natural populations , 2018, Molecular ecology resources.

[40]  Hugh P. Possingham,et al.  Operationalizing ecological connectivity in spatial conservation planning with Marxan Connect , 2018, bioRxiv.

[41]  M. Fortin,et al.  Diversity from genes to ecosystems: A unifying framework to study variation across biological metrics and scales , 2018, Evolutionary applications.

[42]  M. Bravington,et al.  Genetic relatedness reveals total population size of white sharks in eastern Australia and New Zealand , 2018, Scientific Reports.

[43]  O. Gaggiotti,et al.  Differentiation measures for conservation genetics , 2018, Evolutionary applications.

[44]  Frédéric Guichard,et al.  A multiple-species framework for integrating movement processes across life stages into the design of marine protected areas , 2017 .

[45]  R. Fuller,et al.  Environmental and geographic variables are effective surrogates for genetic variation in conservation planning , 2017, Proceedings of the National Academy of Sciences.

[46]  Jeffrey O. Hanson,et al.  raptr: Representative and adequate prioritization toolkit in R , 2017 .

[47]  K. Selkoe,et al.  Multispecies genetic objectives in spatial conservation planning , 2017, Conservation biology : the journal of the Society for Conservation Biology.

[48]  Rebecca Weeks,et al.  Incorporating seascape connectivity in conservation prioritisation , 2017, PloS one.

[49]  Mark R. Christie,et al.  Disentangling the relative merits and disadvantages of parentage analysis and assignment tests for inferring population connectivity , 2017 .

[50]  A. Hoffmann,et al.  Revisiting Adaptive Potential, Population Size, and Conservation. , 2017, Trends in ecology & evolution.

[51]  H. Possingham,et al.  Spatial conservation prioritization of biodiversity spanning the evolutionary continuum , 2017, Nature Ecology &Evolution.

[52]  Hugh P Possingham,et al.  Incorporating larval dispersal into MPA design for both conservation and fisheries. , 2017, Ecological applications : a publication of the Ecological Society of America.

[53]  Jonathan B. Armstrong,et al.  Who Should Pick the Winners of Climate Change? , 2017, Trends in ecology & evolution.

[54]  S. Andréfouët,et al.  Marine Dispersal Scales Are Congruent over Evolutionary and Ecological Time , 2017, Current Biology.

[55]  D. Post,et al.  The ecological importance of intraspecific variation , 2017, Nature Ecology & Evolution.

[56]  Vanessa M. Adams,et al.  Adapting systematic conservation planning for climate change , 2017, Biodiversity and Conservation.

[57]  M. Kennard,et al.  Species distributions represent intraspecific genetic diversity of freshwater fish in conservation assessments , 2016 .

[58]  Gideon S. Bradburd,et al.  Finding the Genomic Basis of Local Adaptation: Pitfalls, Practical Solutions, and Future Directions , 2016, The American Naturalist.

[59]  M. Bravington,et al.  Close-Kin Mark-Recapture , 2016 .

[60]  K. Selkoe,et al.  The DNA of coral reef biodiversity: predicting and protecting genetic diversity of reef assemblages , 2016, Proceedings of the Royal Society B: Biological Sciences.

[61]  J. Diniz‐Filho,et al.  Exhaustive search for conservation networks of populations representing genetic diversity. , 2016, Genetics and molecular research : GMR.

[62]  S. Manel,et al.  Genomic resources and their influence on the detection of the signal of positive selection in genome scans , 2016, Molecular ecology.

[63]  A. Caballero,et al.  Prediction and estimation of effective population size , 2016, Heredity.

[64]  S. Bogdanowicz,et al.  Patterns, causes, and consequences of marine larval dispersal , 2015, Proceedings of the National Academy of Sciences.

[65]  J. Hadfield,et al.  Are molecular markers useful predictors of adaptive potential? , 2015, Ecology letters.

[66]  F. Bonhomme,et al.  Using neutral, selected, and hitchhiker loci to assess connectivity of marine populations in the genomic era , 2015, Evolutionary applications.

[67]  F. Micheli,et al.  Marine reserves help preserve genetic diversity after impacts derived from climate variability: Lessons from the pink abalone in Baja California , 2015 .

[68]  S Schlottfeldt,et al.  Multi-objective optimization in systematic conservation planning and the representation of genetic variability among populations. , 2015, Genetics and molecular research : GMR.

[69]  Stephen R Keller,et al.  Ecological genomics meets community-level modelling of biodiversity: mapping the genomic landscape of current and future environmental adaptation. , 2015, Ecology letters.

[70]  B. Mishler,et al.  Phylogenetic measures of biodiversity and neo- and paleo-endemism in Australian Acacia , 2014, Nature Communications.

[71]  H. Possingham,et al.  Geographical surrogates of genetic variation for selecting island populations for conservation , 2014 .

[72]  E. Balletto,et al.  The “Evolutionarily Significant Unit” concept and its applicability in biological conservation , 2014 .

[73]  Kimberly A. Selkoe,et al.  Evolving coral reef conservation with genetic information , 2014 .

[74]  Atte Moilanen,et al.  Methods and workflow for spatial conservation prioritization using Zonation , 2013, Environ. Model. Softw..

[75]  F. Allendorf,et al.  A school of red herring: reply to Frankham et al. , 2013, Trends in ecology & evolution.

[76]  C. Bradshaw,et al.  50/500 rule and minimum viable populations: response to Jamieson and Allendorf. , 2013, Trends in Ecology & Evolution.

[77]  Atte Moilanen,et al.  Genetic diversity in widespread species is not congruent with species richness in alpine plant communities. , 2012, Ecology letters.

[78]  F. Allendorf,et al.  How does the 50/500 rule apply to MVPs? , 2012, Trends in ecology & evolution.

[79]  R. Vasconcelos,et al.  Identifying priority areas for island endemics using genetic versus specific diversity - The case of terrestrial reptiles of the Cape Verde Islands , 2012 .

[80]  F. Allendorf,et al.  Harnessing genomics for delineating conservation units. , 2012, Trends in ecology & evolution.

[81]  J. Diniz‐Filho,et al.  Planning for optimal conservation of geographical genetic variability within species , 2012, Conservation Genetics.

[82]  B. Rannala,et al.  Molecular phylogenetics: principles and practice , 2012, Nature Reviews Genetics.

[83]  Martin Nilsson Jacobi,et al.  Optimal networks of nature reserves can be found through eigenvalue perturbation theory of the connectivity matrix. , 2011, Ecological applications : a publication of the Ecological Society of America.

[84]  Sassan Saatchi,et al.  Mapping evolutionary process: a multi-taxa approach to conservation prioritization , 2011, Evolutionary applications.

[85]  Hugh P. Possingham,et al.  Incorporating asymmetric connectivity into spatial decision making for conservation , 2010 .

[86]  F. Allendorf,et al.  What can genetics tell us about population connectivity? , 2010, Molecular ecology.

[87]  G. Luikart,et al.  Estimation of census and effective population sizes: the increasing usefulness of DNA-based approaches , 2010, Conservation Genetics.

[88]  Christopher Costello,et al.  The value of spatial information in MPA network design , 2010, Proceedings of the National Academy of Sciences.

[89]  Emily Nicholson,et al.  Conservation prioritization using metapopulation models , 2009 .

[90]  Kerrie A. Wilson,et al.  Fundamental concepts of spatial conservation prioritization , 2009 .

[91]  Hugh P. Possingham,et al.  A mathematical classification of conservation prioritization problems , 2009 .

[92]  Robert G. Haight,et al.  Integer programming methods for reserve selection and design , 2009 .

[93]  E J Milner-Gulland,et al.  Quantification of Extinction Risk: IUCN's System for Classifying Threatened Species , 2008, Conservation biology : the journal of the Society for Conservation Biology.

[94]  Craig Moritz,et al.  The California Hotspots Project: identifying regions of rapid diversification of mammals , 2008, Molecular ecology.

[95]  François Pompanon,et al.  Population Adaptive Index: a New Method to Help Measure Intraspecific Genetic Diversity and Prioritize Populations for Conservation , 2007, Conservation biology : the journal of the Society for Conservation Biology.

[96]  F. Allendorf,et al.  Identification of management units using population genetic data. , 2007, Trends in ecology & evolution.

[97]  Felix Gugerli,et al.  Adaptive vs. neutral genetic diversity: implications for landscape genetics , 2006, Landscape Ecology.

[98]  Matthew E. Watts,et al.  Global Gap Analysis: Priority Regions for Expanding the Global Protected-Area Network , 2004 .

[99]  D. P. Faith,et al.  Environmental diversity: on the best-possible use of surrogate data for assessing the relative biodiversity of sets of areas , 1996, Biodiversity & Conservation.

[100]  J. Diniz‐Filho,et al.  Spatial Autocorrelation Analysis and the Identification of Operational Units for Conservation in Continuous Populations , 2002 .

[101]  Kevin J. Gaston,et al.  Maximising phylogenetic diversity in the selection of networks of conservation areas , 2002 .

[102]  Craig Moritz,et al.  Strategies to protect biological diversity and the evolutionary processes that sustain it. , 2002, Systematic biology.

[103]  Hugh P. Possingham,et al.  A Method for Setting the Size of Plant Conservation Target Areas , 2001 .

[104]  C. Moritz Defining 'Evolutionarily Significant Units' for conservation. , 1994, Trends in ecology & evolution.