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GIS-based habitat model to predict potential areas for the upcoming occurrences of an alien invasive plant, Mimosa pigra L. Cover

GIS-based habitat model to predict potential areas for the upcoming occurrences of an alien invasive plant, Mimosa pigra L.

Open Access
|Nov 2019

References

  1. Beven, K.J., Kirkby, M.J. 1979. A physically based, variable contributing area model of basin hydrology. – Hydrological Sciences Bulletin, 24(1), 43–69. DOI: 10.1080/02626667909491834.10.1080/02626667909491834
  2. Browning, D.M., Beaupre, S.J., Duncan, L. 2005. Using partitioned Mahalanobis D2(k) to formulate a GIS-based model of timber rattlesnake hibernacula. – The Journal of Wildlife Management, 69(1), 33–44.10.2193/0022-541X(2005)069<;0033:UPMDTF>2.0.CO;2
  3. Cam, N.V., Lam, P.V., Dien, H.C., Huong, T.T., Hien, N.T. 1997. Biological control of giant sensitive plant Mimosa pigra L. in Vietnam. – Report of ACIAR Project number 9313. Hanoi, National Institute for Plant Protection, VN Biological Control Research Center. 16 pp.
  4. Clark, J.D., Dunn, J.E., Smith, K.G. 1993. A multivariate model of female black bear habitat use for a geographic information system. – Journal of Wildlife Management, 57(3), 519–526.10.2307/3809276
  5. Da Nang People’s Committee. 2018. Location and natural conditions. Da Nang city, Vietnam. [WWW document]. – URL https://danang.gov.vn. [Accessed 25 December 2018].
  6. Elith, J., Phillips, S.J., Hastie, T., Dudík, M., Chee, Y.E., Yates, C.J. 2011. A statistical explanation of MaxEnt for ecologists. – Diversity and Distribution, 17, 43–57.10.1111/j.1472-4642.2010.00725.x
  7. Engler, R., Guisan, A., Rechsteiner, L. 2004. An improved approach for predicting the distribution of rare and endangered species from occurrence and pseudo-absence data. – Journal of Applied Ecology, 41(2), 263–274.10.1111/j.0021-8901.2004.00881.x
  8. Fielding, A.H., Bell, J.F. 1997. A review of methods for the assessment of prediction errors in conservation presence/absence models. – Environmental Conservation, 24(1), 38–49.10.1017/S0376892997000088
  9. Guisan, A., Edwards, T.C., Hastie, T. 2002. Generalized linear and generalized additive models in studies of species distributions: setting the scene. – Ecological Modelling, 157(2–3), 89–100.10.1016/S0304-3800(02)00204-1
  10. Higgins, S.I., Richardson, D.M., Cowling, R.M., Trinder-Smith, T.H. 1999. Predicting the landscape-scale distribution of alien plants and their threat to plant diversity. – Conservation Biology, 13, 303–313.10.1046/j.1523-1739.1999.013002303.x
  11. Hirzel, A.H., Hausser, J., Chessel, D., Perrin, N. 2002. Ecological-niche factor analysis: how to compute habitatsuitability maps without absence data. – Ecology, 83(7), 2027–2036.10.1890/0012-9658(2002)083[2027:ENFAHT]2.0.CO;2
  12. Huberty, C.J. 1994. Applied Discriminant Analysis. New York, Wiley. 466 pp.
  13. Hutchinson, G.E. 1957. Concluding remarks. – Cold Spring Harbor Symposia on Quantitative Biology, 22(2), 415–427.10.1101/SQB.1957.022.01.039
  14. ISSG & IUCN. 2017. Global invasive species database. Invasive Species Specialist Group and The International Union for Conservation of Nature. [WWW document]. – URL http://www.iucngisd.org/gisd/. [Accessed 10 September 2017].
  15. Jenness, J. 2009. Mahalanobis distances (mahalanobis.exe) extension for ArcGIS 9.x. Jenness Enterprises. [WWW document]. – URL http://www.jennessent.com/arcview/mahalanobis.htm. [Accessed 17 January 2019].
  16. Jenness, J., Brost, B., Beier, P. 2013. Land facet corridor designer: extension for ArcGIS. Jenness Enterprises. [WWW document]. – URL http://www.jennessent.com/arcgis/land_facets.htm. [Accessed 17 January 2019].
  17. Kvamme, K.L. 1992. A predictive site location model on the High Plains: an example with an independent test. – Plains Anthropologist 37, 19–40.10.1080/2052546.1992.11909662
  18. Lam, P.V., Son, N.H., Tan, T.Q., Dung, N.V., Khanh, P.H. 2001. Surveillance, evaluation of damage and proposals for effective control of Mimosa pigra in Nam Cat Tien and Tram Chim National Park. – Annual report. Hanoi, The National Institute of Plant Protection. 19 pp.
  19. Le, B.T., Nguyen, T.L.T., Adkins, S. 2011. Damage caused by Merremia eberhardtii and Merremia boisiana to biodiversity of Da Nang city, Vietnam. – 23rd Asian-Pacific Weed Science Society Conference, Australia, September 2011. The Sebel Cairns, 161–169.
  20. Le, T.S. 2018. A stratified GIS-based model to identify optimal locations for establishing new permanent sample plots for Eucalyptus bosistoana and Eucalyptus globoidea in New Zealand. – Master thesis. Christchurch (New Zealand), University of Canterbury. 90 pp.
  21. Legenre P., Legendre, L. 1998. Numerical Ecology. Amsterdam, Elsevier Science. 852 pp.
  22. Liang, L., Clark, J.T., Kong, N., Rieske, L.K., Fei, S. 2014. Spatial analysis facilitates invasive species risk assessment. – Forest Ecology and Management, 315, 22–29.10.1016/j.foreco.2013.12.019
  23. Livingston, S.A., Todd, C.S., Krohn, W.B., Owen, R.B. 1990. Habitat models for nesting bald eagles in Maine. – Journal of Wildlife Management, 54(4), 644–653.10.2307/3809363
  24. Lonsdale, W.M. 1992. The biology of Mimosa pigra. – Harley, K.L.S. (ed.). A Guide to the Management of Mimosa Pigra. Canberra, Commonwealth Scientific and Industrial Research Organisation, 8–32.
  25. Manel, S., Dias, J.M., Buckton, S.T., Ormerod, S.J. 1999. Alternative methods for predicting species distribution: an illustration with Himalayan river birds. – Journal of Applied Ecology, 36, 734–747.10.1046/j.1365-2664.1999.00440.x
  26. McCullagh, P., Nelder, J.A. 1989. Generalized Linear Models. London, Chapman and Hall. 532 pp.10.1007/978-1-4899-3242-6
  27. MNRE & MARD. 2013. Circular no. 27/2013/TTLT-BTNMT-BNNPTNP. – The criteria for identifying invasive alien species and a list of invasive alien species. Hanoi, Ministry of Natural Resources and Environment and Ministry of Agriculture and Rural Development. 6 pp.
  28. Pallewatta, N., Reaser, J.K., Gutierrez, A.T. 2003. Invasive alien species in south-southeast Asia: National reports and directory of resources. Cape Town, Global Invasive Species Programme. 111 pp.
  29. Peeters, E.T.H.M., Gardeniers, J.J.P. 1998. Logistic regression as a tool for defining habitat requirements of two common gammarids. – Freshwater Biology, 39(4), 605–615.10.1046/j.1365-2427.1998.00304.x
  30. Pereira, J.M.C., Itami, R.M. 1991. GIS-based habitat modeling using logistic multiple regression: a study of the Mt. Graham red squirrel. – Photogrammetric Engineering and Remote Sensing, 57(11), 1475–1486.
  31. Peterson, A.T. 2001. Predicting species’ geographic distributions based on ecological niche modeling. – The Condor: Ornithological Applications, 103(3), 599–605.10.1093/condor/103.3.599
  32. Pham, H.H. 1999. An Illustrated Flora of Vietnam. Ho Chi Minh, Tre Publishing House. 439 pp.
  33. Phillips, S.J., Anderson, R.P., Schapire, R.E. 2006. Maximum entropy modeling of species geographic distributions. – Ecological Modelling, 190(3–4), 231–259.10.1016/j.ecolmodel.2005.03.026
  34. Phillips, S.J., Dudík, M. 2008. Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation. – Ecography, 31(2), 161–175.10.1111/j.0906-7590.2008.5203.x
  35. R Core Team. 2013. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. [WWW document]. – URL https://www.R-project.org/. [Accessed 3 January 2019].
  36. Rotenberry, J.T., Preston, K.L., Knick, S.T. 2002. A minimalist approach to mapping species’ habitat: pearson’s planes of closest fit. – Scott, J.M., Heglund, P.J., Morrison, M.L., Haufler, J.B., Raphael, M.G., Wall, W.A., Samson, F.B. (eds.). Predicting Species Occurrences: Issues of Accuracy and Scale. Washington DC, Island Press, 281–289.
  37. Rotenberry, J.T., Preston, K.L., Knick, S.T. 2006. GIS-based niche modeling for mapping species’ habitat. – Ecology, 87(6), 1458–1464.10.1890/0012-9658(2006)87[1458:GNMFMS]2.0.CO;2
  38. Son, N.H., Lam, P.V., Cam, N.V., Thanh, D.V.T., Dung, N.V., Khanh, L.D., Forno, I.W. 2004. Preliminary studies on control of Mimosa pigra in Vietnam. – Julien, M., Flanagan, G., Heard, T., Hennecke, B., Paynter, Q., Wilson, C. (eds.). Research and Management of Mimosa pigra. Canberra, CSIRO Entomology, 110–116.
  39. Spitz, F., Lek, S. 1999. Environmental impact prediction using neural network modelling: an example in wildlife damage. – Journal of Applied Ecology, 36(2), 317–326.10.1046/j.1365-2664.1999.00400.x
  40. Tan, D.T., Thu, P.Q., Dell, B. 2012. Invasive plant species in the national parks of Vietnam. – Forests, 3, 997–1016.10.3390/f3040997
  41. Thai, V.Q. 2016. The status, solutions and policies on the management of invasive alien species. – Technical report. Da Nang, Department of Agriculture and Rural Development. 112 pp.
  42. Thanh, D.V.T., Cam, N.V., Thuy, L.T.T., Van, N.T., Hoat, T.X., Nguyen, N.H. 1998. Primary results of study on usage of Phloeospora mimosae pigrae to control giant sensitive plant Mimosa pigra. – Annual report. Hanoi, The National Institute of Plant Protection. 7 pp.
  43. Thompson, L.M., van Manen, F.T., Schlarbaum, S.E., DePoy, M. 2006. A spatial modeling approach to identify potential butternut restoration sites in Mammoth Cave National Park. – Restoration Ecology, 14(2), 289–296.10.1111/j.1526-100X.2006.00131.x
  44. Thu, P.Q. 2003. Forest invasive species and their impacts on afforestation in Vietnam, the unwelcome guests. – The Asia-Pacific Forest Invasive Species Conference, China. Kunning, 17–23.
  45. Triet, T., Kiet, L.C., Thi, N.T.L., Dan, P.Q. 2002. The invasion of Mimosa pigra in wetlands of the Mekong delta, Vietnam. – The 3rd International Symposium on the Management of Mimosa pigra, Australia. Canberra and Darwin, 45–51.
  46. Triet, T., Thi, N.T.L., Storrs, M.J., Kiet, L.C. 2001. The value of awareness and early intervention in the management of invasive alien species: a case-study on the eradication of Mimosa pigra at the Tram Chim National Park. – The Convention on Biological Diversity, Canada. Montreal, 37–38.
  47. Tsoar, A., Allouche, O., Steinitz, O., Rotem, D., Kadmon, R. 2007. A comparative evaluation of presence-only methods for modelling species distribution. – Diversity and Distribution, 13(4), 397–405.10.1111/j.1472-4642.2007.00346.x
  48. Tucker, C.J. 1979. Red and photographic infrared linear combinations for monitoring vegetation. – Remote Sensing of Environment, 8(2), 127–150.10.1016/0034-4257(79)90013-0
  49. USDA Forest Service. 2003. A National Early Detection and Rapid Response System for Invasive Plants in the United States: Federal Interagency Committee for the Management of Noxious and Exotic Weeds. Washington DC, United States Department of Agriculture. 28 pp.
  50. van Manen, F.T., Clark, J.D., Schlarbaum, S.E., Johnson, K., Taylor., G. 2002. A model to predict the occurrence of surviving butternut trees in the southern Blue Ridge Mountains. – Scott, J.M., P.J. Heglund, M.L. Morrison (eds.). Symposium on Predicting Species Occurrences: Issues of Scale and Accuracy. Covelo, Island Press, 491–497.
  51. van Manen, F.T., Young, J.A., Thatcher, C.A., Cass, W.B., Ulrey, C. 2005. Habitat models to assist plant protection efforts in Shenandoah National Park, Virginia, USA. – Natural Areas Journal, 25(4), 339–350.
  52. Vietnam Government. 2014. Decision 1976/QD-TTg: Approving the planning for special-use forest system across the country to the year 2020, and a vision to 2030. Hanoi, Vietnam Government, 19–30.
  53. Walden, D., Finlayson, C.M., van Dam, R., Storrs, M. 1999. Information for a risk assessment and management of Mimosa pigra in Tram Chim National Park, Vietnam. – The EnviroTox’99 International Conference, Australia. Royal Australian Chemical Institute, 160–170.
  54. Zaniewski, A.E., Lehmann, A., Overton, J.McC. 2002. Predicting species spatial distributions using presence-only data: a case study of native New Zealand ferns. – Ecological Modelling, 157(2–3), 261–280.10.1016/S0304-3800(02)00199-0
DOI: https://doi.org/10.2478/fsmu-2019-0003 | Journal eISSN: 1736-8723 | Journal ISSN: 1406-9954
Language: English
Page range: 31 - 43
Submitted on: Apr 18, 2019
Accepted on: Sep 6, 2019
Published on: Nov 21, 2019
Published by: Estonian University of Life Sciences
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year

© 2019 Thai Son Le, Pham Thi Kim Thoa, Nguyen Van Tuan, published by Estonian University of Life Sciences
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.