caa a22 4500 606164766 CHVBK 20210128100650.0 cr unu---uuuuu 210128e20150701xx s 000 0 eng 10.1007/s10144-015-0493-2 doi (NATIONALLICENCE)springer-10.1007/s10144-015-0493-2 A rapid method for constructing precaution maps based on a simple virtual ecology model: a case study on the range expansion of the invasive aquatic species Limnoperna fortunei [Elektronische Daten] [Takeshi Osawa, Kenji Ito] Before invasion, or in its early stages, information on the invader in target areas is generally extremely limited. In such situations, managers must select focal areas in which to concentrate control and mitigation efforts. Here, we discuss a rapid method for selecting areas in which to control invasive aquatic species based on limited information. We used a simple cellular automata model that does not require species-specific information, but simulates the process of invasive species expansion and includes observed expansion progress to detect keystone areas. As a case study, we simulated the expansion of an invasive aquatic mussel, Limnoperna fortunei, in Ibaraki Prefecture, Japan, and detected the areas in which control efforts should be concentrated. To some extent, our model was able to predict the expansion of L. fortunei from the initial detected invasion to the current distribution. We predicted areas with a high potential of spreading and areas that would suffer from high propagule pressure. Results revealed a mismatch between areas with high spread potential and those with high propagule pressure. Managers should concentrate their invasion prevention efforts in the former because these are likely to have a greater long-term influence. Additionally, we predicted future expansion from the current distribution and showed that current scattered populations could merge naturally. Our approach is useful for establishing a management plan before or in the early stages of invasion. The Society of Population Ecology and Springer Japan, 2015 Alien invasive species nationallicence Early detection nationallicence Habitat continuity nationallicence Μanagement strategy nationallicence Mapping nationallicence Risk analysis nationallicence Osawa Takeshi National Institute for Agro-Environmental Sciences, 3-1-3, Kannondai, 305-8604, Tsukuba, Ibaraki, Japan aut Ito Kenji National Institute for Agro-Environmental Sciences, 3-1-3, Kannondai, 305-8604, Tsukuba, Ibaraki, Japan aut Population Ecology Springer Japan 57/3(2015-07-01), 529-538 1438-3896 57:3<529 2015 57 10144 https://doi.org/10.1007/s10144-015-0493-2 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s10144-015-0493-2 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Osawa Takeshi National Institute for Agro-Environmental Sciences, 3-1-3, Kannondai, 305-8604, Tsukuba, Ibaraki, Japan aut NATIONALLICENCE 700 1- Ito Kenji National Institute for Agro-Environmental Sciences, 3-1-3, Kannondai, 305-8604, Tsukuba, Ibaraki, Japan aut NATIONALLICENCE 773 0- Population Ecology Springer Japan 57/3(2015-07-01), 529-538 1438-3896 57:3<529 2015 57 10144