Addition of finer scale data and uncertainty analysis increases precision of geospatial suitability model for non-native plants in the US.

MLA

Kim, Seokmin, et al. “Addition of Finer Scale Data and Uncertainty Analysis Increases Precision of Geospatial Suitability Model for Non-Native Plants in the US.” Ecological Modelling, vol. 484, Oct. 2023, p. N.PAG. EBSCOhost, https://doi.org/10.1016/j.ecolmodel.2023.110458.

APA

Kim, S., Koop, A., Fowler, G., Israel, K., Takeuchi, Y., & Lieurance, D. (2023). Addition of finer scale data and uncertainty analysis increases precision of geospatial suitability model for non-native plants in the US. Ecological Modelling, 484, N.PAG. https://doi.org/10.1016/j.ecolmodel.2023.110458

Chicago

Kim, Seokmin, Anthony Koop, Glenn Fowler, Kimberly Israel, Yu Takeuchi, and Deah Lieurance. 2023. “Addition of Finer Scale Data and Uncertainty Analysis Increases Precision of Geospatial Suitability Model for Non-Native Plants in the US.” Ecological Modelling 484 (October): N.PAG. doi:10.1016/j.ecolmodel.2023.110458.