Group Project Publications

The publications below are the outcome of Landscape Genetics DGS group projects from previous years:

    • Alshwairikh YA, Kroeze SL, Olsson J, Stephens‐Cardenas SA, Swain WL, Waits L P, Horn RL, Narum SR, Seaborn T. (2021). Influence of environmental conditions at spawning sites and migration routes on adaptive variation and population connectivity in Chinook salmon. Ecology and Evolution. 11:16890–16908.

    • Parsley MB, Torres ML, Banerjee SM, Tobias ZJC, Goldberg CS, Murphy MA, Mims MC (2020) Multiple lines of genetic inquiry reveal effects of local and landscape factors on an amphibian metapopulation. Landscape Ecology 35: 319–335.

    • Mims MC, Day CC, Burkhart JJ, Fuller MR, Hinkle J, Bearlin A, Dunham JB, DeHaan PW, Holden ZA, Landguth EE (2019) Simulating demography, genetics, and spatially explicit processes to inform reintroduction of a threatened char. Ecosphere 10(2):e02589. 10.1002/ecs2.2589.

    • Nathan LR, Mamoozadeh N, Tumas HR, Gunselman S, Klass K, Metcalfe A, Edge C, Waits LP, Spruell P, Lowery E, Connor E, Bearlin AR, Fortin M-J, Landguth E (2019) A spatially-explicit, individual-based demogenetic simulation framework for evaluating hybridization dynamics. Ecological Modelling 401: 40-51.

    • Seaborn T, Hauser SS, Konrade L, Waits LP, Goldberg CS (2019) Landscape genetic inferences vary with sampling scenario for a pond-breeding amphibian. Ecology and Evolution 9: 5063-5078.

    • Peterman WE, Winiarski KJ, Moore CE, et al. (2019) A comparison of popular approaches to optimize landscape resistance surfaces. Landscape Ecology 34: 2197–2208.

    • Billerman S, Jesmer J, Watts A, Schlichting P, Micheletti S, Bergamini R, Fortin M-J, Funk WC, Hapeman P, Muths E, Murphy (2019) Testing theoretical metapopulation conditions with genotypic data: an amphibian case study. Canadian Journal of Zoology 97:1042-1053.

    • Franckoviak RP, Panasci MP, Jarvis KJ, Acuña-Rodriguez IS, Landguth EL, Fortin M-J, Wagner HH (2017) Model selection with multiple regression on distance matrices leads to incorrect inferences. PLoS ONE 12: e0175194.

    • Zero V, Barocas A, Jochimsen D, Pelletier A, Giroux-Bougard X, Trumbo D, Castillo J, Evans Mack D, Linnell M, Pigg R, Hoisington-Lopez J, Spear S, Murphy M, Waits LP (2017) Complementary network-based approaches for exploring genetic structure and functional connectivity in two vulnerable, endemic ground squirrels. Frontiers in Genetics 8: 81.

    • Talbot B, Chen T-W, Zimmerman S, Joost S, Eckert AJ, Crow TM, Semizer-Cuming D, Seshadri C, Manel S (2017) Combining Genotype, Phenotype, and Environment to Infer Potential Candidate Genes. Journal of Heredity 108: 207-216.

    • Forester BR, Jones MR, Joost S, Landguth EL, Lasky JR (2016) Detecting spatial genetic signatures of local adaptation in heterogeneous landscapes. Molecular Ecology 25: 104-120.

    • Zeller KA, Creech TG K.L. Millette KL, Crowhurst RS, Long RA, Wagner HH, Balkenhol N, Landguth EL (2016) Using simulations to evaluate Mantel‐based methods for assessing landscape resistance to gene flow. Ecology and Evolution 6: 4115-4128.

    • Watts AG, Schlichting PE, Billerman SM, Jesmer BR, Micheletti S, Fortin M-J, Funk WC, Hapeman P, Muths E, Murphy MA (2015) How spatio-temporal habitat connectivity affects amphibian genetic structure. Frontiers in Genetics 6: 275.

    • MF DiLeo MF, JC Siu JC, MK Rhodes MK, A López‐Villalobos A, A Redwine A, Ksiazek K, Dyer RJ (2014) The gravity of pollination: integrating at‐site features into spatial analysis of contemporary pollen movement. Molecular Ecology 23: 3973-3982.

    • Caplins SA, Gilbert KJ, Ciotir C, Roland J, Matter SF, Keyghobadi N (2014) Landscape structure and the genetic effects of a population collapse. Proceedings of the Royal Society of London B: Biological Sciences 281: 20141798.

    • H Bothwell, S Bisbing, NO Therkildsen, L Crawford, N Alvarez, Manel S (2013) Identifying genetic signatures of selection in a non-model species, alpine gentian (Gentiana nivalis L.), using a landscape genetic approach. Conservation Genetics 14: 467-481.

    • Jones MR*, Forester BR*, Teufel AI, Adams RV, Anstett DN, Goodrich BA, Joost S, Manel S (2013) Integrating landscape genomics and spatially explicit approaches to detect loci under selection in clinal populations. Evolution 67: 3455-3468. *These authors contributed equally.

    • IR Naujokaitis-Lewis, Y Rico, J Lovell, MJ Fortin, MA Murphy (2013) Implications of incomplete networks on estimation of landscape genetic connectivity. Conservation Genetics 14: 287-298.

    • Blair C, Weigel DE, Balazik M, Keeley ATH, Walker FM, Balkenhol N, Landguth EL, Cushman SA, Murphy M, Waits LP (2012) A simulation-based evaluation of methods for inferring linear barriers to gene flow. Molecular Ecology Resources 12:822-833.

    • Graves TA, Wasserman T, Ribeiro MC, Landguth EL, Spear SF, Balkenhol N, Higgins CB, Fortin M-J, SA Cushman, LP Waits (2012) The influence of landscape characteristics and home-range size on the quantification of landscape-genetics relationships. Landscape Ecology 27: 253-266.

    • Landguth EL, Fedy BC, Oyler‐McCance S, Garey AL, Emel SL, Mumma M, Wagner HH, Fortin M-J, Cushman SA (2012) Effects of sample size, number of markers, and allelic richness on the detection of spatial genetic pattern. Molecular Ecology Resources 12: 276-284.