Evolving spatial conservation prioritization with intraspecific genetic data.
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Marco A. Escalante | S. Manel | C. Perrier | M. Andrello | C. D’Aloia | J. Torres-Florez | Amanda Xuereb | A. Dalongeville | Jimena Guerrero
[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.