Invasion hotspots in wilderness zones of tropical national parks

Iing Nasihin, Ilham Adhya, Yayan Hendrayana
Abstract

Invasive alien plant species increasingly threaten the integrity of forest ecosystems in protected areas, particularly within poorly studied wilderness zones of tropical national parks. The aim of this study was to assess the spatial distribution and invasion intensity of invasive alien plant species in the wilderness zone of Gunung Ciremai National Park, West Java, Indonesia. During the wet season, a comprehensive geographical investigation was conducted using twelve systematically established plots (20 × 20 m) with nested subplots representing different growth stages. A total of 18 invasive alien plant species belonging to nine families were recorded. Hierarchical cluster analysis identified three statistically distinct invasion intensity zones: a moderately invaded zone (67% of plots) dominated by Panicum maximum and Isachne globosa; a highly invaded zone (25% of plots) characterised by strong dominance of the woody legume Calliandra calothyrsus; and a low-invasion zone (8% of plots) with minimal establishment. Between-cluster Bray-Curtis dissimilarity (0.72 ± 0.18) exceeded within-cluster values (0.52-0.65), indicating pronounced compositional differentiation. A corridor-based invasion pattern was supported by a significant decline in invasion intensity with increasing distance from trails ( = 0.78, p < 0.001). The study provided the first quantitative spatial assessment of invasive plant distribution in wilderness zones of Indonesian protected areas and demonstrated the value of multivariate analyses for identifying invasion hotspots and informing targeted management strategies

Keywords

biological invasion, Bray-Curtis dissimilarity, cluster analysis, protected areas, spatial patterns

Suggested citation
Nasihin, I., Adhya, I., & Hendrayana, Ya. (2025). Invasion hotspots in wilderness zones of tropical national parks. Ukrainian Journal of Forest and Wood Science, 16(4), 70-88. https://doi.org/10.31548/forest/4.2025.70
References
  1. Barros, A., et al. (2025). Beyond the trail – understanding non‑native plant invasions in mountain ecosystems. Global Ecology and Biogeography, 34(6), article number e70060. doi: 10.1111/geb.70060.
  2. Belayhun, M., Chere, Z., Abay, N.G., Nicola, Y., & Asmamaw, A. (2024). Spatiotemporal pattern of water hyacinth (Pontederia crassipes) distribution in Lake Tana, Ethiopia, using a random forest machine learning model. Frontiers in Environmental Science, 12, article number 1476014doi: 10.3389/fenvs.2024.1476014.
  3. Borcard, D., Gillet, F., & Legendre, P. (2018). Numerical ecology with R. Cham: Springer International Publishing. doi: 10.1007/978-3-319-71404-2.
  4. Bradley, B.A., Beaury, E.M., Gallardo, B., Ibáñez, I., Jarnevich, C., Morelli, T.L., Sofaer, H.R., Sorte, C.J.B., & Vilà, M. (2024). Observed and potential range shifts of native and nonnative species with climate change. Annual Review of Ecology, Evolution, and Systematics, 55(1), 23-40. doi: 10.1146/annurev-ecolsys-102722-013135.
  5. Bray, J.R., & Curtis, J.T. (1957). An ordination of the upland forest communities of southern Wisconsin. Ecological Monographs, 27(4), 325-349. doi: 10.2307/1942268.
  6. Carneiro, L., Miiller, N.O.R., Cuthbert, R.N., & Vitule, J.R.S. (2024). Biological invasions negatively impact global protected areas. Science of the Total Environment, 948, article number 174823. doi: 10.1016/j.scitotenv.2024.174823.
  7. Chen, J., Du, H., Mao, F., Huang, Z., Chen, C., Hu, M., & Li, X. (2024). Improving forest age prediction performance using ensemble learning algorithms based on satellite remote sensing data. Ecological Indicators, 166, article number 112327. doi: 10.1016/j.ecolind.2024.112327.
  8. Convention on Biological Diversity. (1992, June). Retrieved from https://treaties.un.org/doc/treaties/1992/06/19920605%2008-44%20pm/ch_xxvii_08p.pdf.
  9. Courtois, P., Martinez, C., & Thomas, A. (2023). Spatial priorities for invasive alien species control in protected areas. Science of the Total Environment, 878, article number 162675. doi: 10.1016/j.scitotenv.2023.162675.
  10. Cuthbert, R.N., et al. (2021). Global economic costs of aquatic invasive alien species. Science of the Total Environment, 775, article number 145238. doi: 10.1016/j.scitotenv.2021.145238.
  11. de Vries, F., Lau, J., Hawkes, C., & Semchenko, M. (2023). Plant-soil feedback under drought: Does history shape the future? Trends in Ecology & Evolution, 38(8), 708-718. doi: 10.1016/j.tree.2023.03.001.
  12. Diagne, C., Leroy, B., Vaissière, A.-C., Gozlan, R.E., Roiz, D., Jarić, I., Salles, J.M., Bradshaw, C.J.A., & Courchamp, F. (2021). High and rising economic costs of biological invasions worldwide. Nature, 592(7855), 571-576. doi: 10.1038/s41586-021-03405-6.
  13. Ernst, A.R., Larkin, D.J., Kramer, A.T., Glasenhardt, M., & Hipp, A.L. (2025). Diverse ecological strategies increase invasion resistance in an experimental grassland restoration. Ecology and Evolution, 15(6), article number e71575. doi: 10.1002/ece3.71575.
  14. Flickinger, H.D., & Dukes, J.S. (2024). A review of theory: Comparing invasion ecology and climate change-induced range shifting. Global Change Biology, 30(12), article number e17612. doi: 10.1111/gcb.17612.
  15. Gallardo, B., & Capdevila-Argüelles, L. (2024). Climate change and non-native species in the Spanish Network of National Parks. Biological Invasions, 26(12), 4345-4361. doi: 10.1007/s10530-024-03451-x.
  16. Hulme, P.E. (2024). Networks of risk: International tourists as a biosecurity pathway into national parks. Biological Invasions, 26, 4317-4330. doi: 10.1007/s10530-024-03448-6.
  17. Kim, I., Sou, H.-D., Cho, H., Kim, J., Oh, J.-H., & Park, C.-R. (2025). Impact of urban forest structure, native species diversity, and vegetation community on invasive plant species richness. Urban Ecosystems, 28(2), article number 6. doi: 10.1007/s11252-024-01658-3.
  18. Nasihin, I., Widhiono, I., Sudiana, E., Nurdin, Herlina, N., & Imaningsih, W. (2024). Species distribution model and population dynamics of invasive alien plant Calliandra calothyrsus in Gunung Ciremai National Park, West Java, Indonesia. Biodiversitas Journal of Biological Diversity, 25(12). doi: 10.13057/biodiv/d251217.
  19. Pang, S.E.H., Slik, J.W.F., Zurell, D., & Webb, E.L. (2023). The clustering of spatially associated species unravels patterns in tropical tree species distributions. Ecosphere, 14(6), article number e4589. doi: 10.1002/ecs2.4589.
  20. Petri, L., & Ibáñez, I. (2025). Successful recovery of native plants post‐invasive removal in forest understories is driven by native community features. Ecological Applications, 35(2), article number e70012. doi: 10.1002/eap.70012.
  21. Poudel, A., Adhikari, P., Adhikari, P., Choi, S.H., Yun, J.Y., Lee, Y.H., & Hong, S.H. (2024). Predicting the invasion risk of the highly invasive Acacia mearnsii in Asia under global climate change. Plants, 13(20), article number 2846. doi: 10.3390/plants13202846.
  22. Rakgoale, P.B., & Ngetar, S.N. (2024). Detecting invasive alien plant species using remote sensing, machine learning and deep learning. Journal of Sensors, 2024(1), article number 854675. doi: 10.1155/2024/8854675.
  23. Regulation of the Minister of Environment and Forestry of the Republic of Indonesia No. P.16/MENLHK/SETJEN/OTL.0/1/2016 “On the Organization and Work Procedures of the Environmental and Forestry Education and Training Centre”. (2016, January). Retrieved from https://www.regulasip.id/regulasi/5617. KLHK.
  24. Sengupta, R., & Dash, S.S. (2024). Species distribution modelling to identify invasion hotspots of Ageratina riparia in Mizoram, India. Asian Journal of Forestry, 8(2). doi: 10.13057/asianjfor/r080209.
  25. Setyawati, T., Narulita, S., Bahri, I.P., & Raharjo, G.T. (2015). A guide book to invasive alien plant species in Indonesia. Bogor: Research, Development and Innovation Agency. Ministry of Environment and Forestry.
  26. Szilassi, P., Soóky, A., Bátori, Z., Hábenczyus, A.A., Frei, K., Tölgyesi, C., van Leeuwen, B., Tobak, Z., & Csikós, N. (2021). Natura 2000 areas, road, railway, water, and ecological networks may provide pathways for biological invasion: A country scale analysis. Plants, 10(12), article number 2670. doi: 10.3390/plants10122670.
  27. Tanah Air Indonesia. (n.d.). Retrieved from https://tanahair.indonesia.go.id/portal-web/.
  28. Tjitrosoedirdjo, S.S., Mawardi, I., & Tjitrosoedirdjo, S. (2016). 75 important invasive plant species in Indonesia. Bogor: SEAMEOBIOTROP.
  29. TNGunungCiremai. (n.d.). Retrieved from https://tngunungciremai.org/.
  30. Utkhamthiang, K., Chaimanee, V., Hermhuk, S., & Kamyo, T. (2025). Assessment of invasive species severity along the nature trail at the Doi Chiang Dao Biosphere Reserve, Chiang Mai Province. Thai Forest Ecological Research Journal, 9(1), 55-72. doi: 10.34044/tferj.2025.9.1.6271.
  31. Wang, M., Liu, W., Chen, Z., Li, S., Huang, X., Hu, Z., & Shang, R. (2024). Functional traits and phylogeny jointly regulate the effects of environmental filtering and dispersal limitation on species spatial distribution. Frontiers in Forests and Global Change, 6, article number 1339726doi: 10.3389/ffgc.2023.1339726.
  32. Zhang, B., Hastings, A., Grosholz, E.D., & Zhai, L. (2023). The comparison of dispersal rate between invasive and native species varied by plant life form and functional traits. Movement Ecology, 11, article number 73. doi: 10.1186/s40462-023-00424-y.