CDMetaPOP has been used in various research studies. Here are publications featuring CDMetaPOP:
Papers in Preparation
Alò, D., Day, C.C., Williams, A., Roseman, M., & Landguth, E.L. (n.d.). cdmetapopR: An interface to the eco-evolutionary simulation software CDMetaPOP.
Papers in Review
Roseman, M.A., Williams, A.K., Day, C.C., Fortnum, T.K., Weckworth, J.K., & Landguth, E.L. (n.d.). Simulating the impact of movement strategy uncertainty on cave myotis demo-genetics. Movement Ecology (in revision).
Papers in Press
Davenport, K., Alò, D., Day, C.C., Simmons, R.K., Landguth, E.L., & Whiteley, A.R. (n.d.). Fitness regulates non-native species recovery in a simulated Trojan MYY brook trout application. Evolutionary Applications.
2026
Landguth, E.L., Williams, A., Roseman, M., Amadi, M., Fain, B., Kouete, M., Farrer, R.A., Haeseler, A.J., Razgour, O., Richardson, C., Weckworth, B., Weckworth, J., Whiting-Fawcett, F., Wilson, D., & Day, C.C. (2026). Simulating the landscape eco-evolution of host-pathogen systems with CDMetaPOP. Ecological Informatics, 103892, DOI: 10.1016/j.ecoinf.2026.103892. Download PDF
Sullivan, S.L., van Poorten, B.T., & Whitlock, M.C. (2026). An assessment of sampling strategies for surveying introgression in watersheds. Canadian Journal of Fisheries and Aquatic Sciences, 83, 1-17.
2025
Beaman, J.E., Gates, K., Saltré, F., Hogg, C.J., Belov, K., Ashman, K., Da Silva, K.B., Beheregaray, L.B., & Bradshaw, C.J.A. (2025). A Guide for Developing Demo‐Genetic Models to Simulate Genetic Rescue. Evolutionary Applications, 18(5), e70092.
2024
Day, C.C., Alò, D., Zarn, K., Robinson, Z., Small, M., Fortin, M.-J., Simmons, R., Lukacs, P., & Landguth, E.L. (2024). Disentangling effects of dispersal, environment, and anthropogenic barriers on functional connectivity in aquatic systems. Molecular Ecology, DOI: 10.1111/mec.17500. Download PDF
2023
Bernos, T.A., Day, C., Hill, J., Morissette, O., Jeffries, K.M., & Mandrak, N.E. (2023). Simulating the effects of long‐distance dispersal and landscape heterogeneity on the eco‐evolutionary outcomes of range expansion in an invasive riverine fish, Tench (Tinca tinca). Molecular Ecology, 32(13), 3403-3418, DOI: 10.1111/mec.16964. Download PDF
Mendoza-Portillo, V., García-De León, F.J., & von der Heyden, S. (2023). Responses of population structure and genomic diversity to climate change and fishing pressure in a pelagic fish. Global Change Biology, 29(14), 4107-4125, DOI: 10.1111/gcb.16732. Download PDF
Lozada, A., Day, C.C., Landguth, E.L., & Bertin, A. (2023). Simulation-based insights into community uniqueness within fragmented landscapes. Landscape Ecology, 38(10), 2533-2546. Download PDF
Seaborn, T., Day, C.C., Galla, S.J., Höök, T.O., Jossie, E., Landguth, E.L., Liu, R., & Simmons, R.K. (2023). Individual-based models for incorporating landscape processes in the conservation and management of aquatic systems. Current Landscape Ecology Reports, 8(3), 119-135. Download PDF
Day, C.C., Landguth, E.L., Simmons, R.K., & Bearlin, A.R. (2023). CDMetaPOP 2: a multispecies, eco-evolutionary simulation framework for landscape demogenetics and connectivity. Ecography, 2023(8), e06566, DOI: 10.1111/ecog.06566. Download PDF
Seaborn, T., Landguth, E.L., & Caudill, C.C. (2023). Simulating plasticity as a framework for understanding habitat selection and its role in adaptive capacity and extinction risk through an expansion of CDMetaPOP. Molecular Ecology Resources, 23(6), 1458-1472. Download PDF
Bernos, T., Chang, S., Giglio, R., Davenport, K., Fisher, J., Lowery, E., Bearlin, A., Simmons, R., Fortin, M.J., Day, C.C., & Landguth, E.L. (2023). Evaluating the evolutionary mechanisms maintaining alternative mating strategies in a simulated Bull Trout (Salvelinus confluentus) population. Ecology and Evolution, 13, e9965. Download PDF
Forester, B.R., Day, C.C., Ruegg, K., & Landguth, E.L. (2023). Evolutionary potential mitigates extinction risk under climate change in the endangered southwestern willow flycatcher. Journal of Heredity, 114(4), 341-353. Download PDF
2021
Day, C.C., Landguth, E.L., Simmons, R.K., Baker, W.P., Whiteley, A.R., Lukacs, P.M., Davenport, K.A., & Bearlin, A.R. (2021). Evaluation of management factors affecting the relative success of a brook trout eradication program using YY male fish and electrofishing suppression. Canadian Journal of Fisheries and Aquatic Sciences, 78(8), 1109-1119, DOI: 10.1139/cjfas-2020-0433. Download PDF
2020
Landguth, E.L., Forester, B., Shirk, A.J., Menon, M., Eckert, A.J., Whipple, A., Day, C.C., & Cushman, S.A. (2020). Modeling multilocus selection in an individual-based, spatially explicit landscape genetics framework. Molecular Ecology Resources, 20, 605-615, DOI: 10.1111/1755-0998.13121. Download PDF
Day, C.C., Landguth, E.L., Simmons, R.K., Baker, W.P., Whiteley, A.R., Lukacs, P.M., & Bearlin, A. (2020). Simulating effects of fitness and dispersal on the use of Trojan sex chromosomes for the management of invasive species. Journal of Applied Ecology, 57(7), 1413-1425. Download PDF
Menon, M., Landguth, E.L., Leal-Saenz, A., Bagley, J.C., Schoettle, A.W., Wehenkel, C., Cushman, S., Waring, K.M., & Eckert, A.J. (2020). Tracing the footprints of a moving hybrid zone under a demographic history of speciation with gene flow. Evolutionary Applications, 13, 195-209, DOI: 10.1111/eva.12795. Download PDF
2019
Nathan, L., Mamoozadeh, N., Tumas, H.R., Gunselman, S., Klass, K., Metcalfe, A., Edge, C., Waits, L., Spruell, P., Lowery, E., Connor, E., Bearlin, A., Fortin, M.-J., & Landguth, E.L. (2019). A simulation framework for evaluating fish hybridization dynamics in heterogeneous riverscapes. Ecological Modelling, 401, 40-51. Download PDF
Mims, M., Day, C.C., Hinkle, J., Fuller, M., Burkhart, J., Bearlin, A., DeHann, P., Holden, Z., & Landguth, E.L. (2019). Simulating demography, genetics, and spatially-explicit processes to inform reintroduction of a threatened char. Ecosphere, DOI: 10.1002/ecs2.2589. Download PDF
2018
Escalante, M.A., García-De León, F.J., Ruiz-Luna, A., Landguth, E.L., & Manel, S. (2018). The interplay of riverscape features and exotic introgression on the genetic structure of the Mexican golden trout (Oncorhynchus chrysogaster), a simulation approach. Journal of Biogeography, 45, 1500-1514, DOI: 10.1111/jbi.13246. Download PDF
Landguth, E.L., Day, C.C., Bearlin, A., Holden, Z.A., & Whiteley, A.R. (2018). Using simulation modeling to inform management of invasive species: A case study of eastern brook trout suppression and eradication. Biological Conservation, 221, 10-22. Download PDF
2017
Landguth, E.L., Holden, Z.A., Mahalovich, M.F., & Cushman, S.A. (2017). Using landscape genetics simulations for planting blister rust resistant whitebark pine in the US Northern Rocky Mountains. Frontiers in Genetics, 8, 9. Download PDF
Landguth, E.L., Bearlin, A., Day, C.C., & Dunham, J. (2017). CDMetaPOP: an individual-based, eco-evolutionary model for spatially explicit simulation of landscape demogenetics. Methods in Ecology and Evolution, 8, 4-11, DOI: 10.1111/2041-210X.12608. Download PDF
Citation
When using CDMetaPOP or cdmetapopR, please cite the relevant publications above and the software:
@software{cdmetapop_software,
title={{CDMetaPOP}: an individual-based, eco-evolutionary model for spatially-explicit simulation of landscape demogenetics},
author = {Landguth, Erin L. and Day, Casey C. and Bearlin, Andrew and Dunham, Jason and Simmons, Ryan K. and Forester, Brenna R. and Davenport, Kaeli and Seaborn, Travis},
year={2025},
version={3.0.8},
url={https://github.com/ComputationalEcologyLab/CDMetaPOP},
note = {Accessed: YYYY-MM-DD}
}
@software{cdmetapopr,
title={cdmetapopR: A companion R package for the CDMetaPOP simulation software},
author = {Alò, Dominique and Day, Casey C. and Williams, Allison and Roseman, Marissa and Landguth, Erin L.},
year={2026},
url={https://github.com/ComputationalEcologyLab/cdmetapopR}
}Lab Information
Computational Ecology Lab
Our lab develops, optimizes, and applies individual-based simulation programs, spanning population genetics, disease ecology, and epidemiology, for understanding relationships between biological processes, environment, and climate with population patterns across landscapes. Our goals are to produce tools that will be valuable to natural resource managers, planners, decision makers, and scientists with a stake in maintaining biodiversity, from genes to ecosystems.
Website: https://www.cellab.org/
Contact
For questions about CDMetaPOP, cdmetapopR, or our other tools, please visit our lab website or open an issue on GitHub.