Skip to main content

Advertisement

SpringerLink
Log in

Facilitation of management plan development via spatial classification of areas invaded by alien invasive plant

  • Original Paper
  • Published:
Biological Invasions Aims and scope Submit manuscript

Abstract

Propagule supply and habitat suitability strongly influence the success of invasive alien plants. Thus, an invaded area is likely to have an adequate propagule supply, a suitable habitat, or both for species persistence. Based on this idea, we classified invaded areas into four categories as follows but with establishment still occurring in some cases: Class 1, adequate propagule supply and habitat suitability; Class 2, adequate propagule supply but limited habitat suitability; Class 3, limited propagule supply and adequate habitat suitability; and Class 4, mid- to low-level propagule supply and habitat suitability. We propose a framework for the classification of invaded areas into these four classes and present a case study in which this framework was applied. Classifying target areas in this manner could facilitate more efficient and practical management planning, thereby saving time and resources. We selected the alien shrub Leucaena leucocephala L. (Fabaceae) as a model species, which has invaded the Nakodo-jima Island in the Ogasawara Archipelago of Japan. We developed a species distribution model by incorporating proxy variables for propagule supply and habitat suitability as well as submodels for propagule supply or habitat suitability. Using these submodels, we estimated the levels of propagule supply and habitat suitability in each, and classified the current distribution range appropriately. Using these classifications, land managers could set priorities to concentrate their efforts to efficiently control target species.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

References

  • Andrew ME, Ustin SL (2010) The effects of temporally variable dispersal and landscape structure on invasive species spread. Ecol Appl 20:593–608. https://doi.org/10.1890/09-0034.1

    Article  PubMed  Google Scholar 

  • Aung T, Koike F (2015) Identification of invasion status using a habitat invasibility assessment model: the case of Prosopis species in the dry zone of Myanmar. J Arid Environ 120:87–94. https://doi.org/10.1016/j.jaridenv.2015.04.016

    Article  Google Scholar 

  • Barnett DT, Stohlgren TJ, Jarnevich CS et al (2007) The art and science of weed mapping. Environ Monit Assess 132:235–252. https://doi.org/10.1007/s10661-006-9530-0

    Article  PubMed  Google Scholar 

  • Burnham KP, Anderson DR (2003) Model selection and multimodel inference: a practical information-theoretic approach. Springer, Berlin

    Google Scholar 

  • Chiou C-R, Wang H-H, Chen Y-J et al (2013) Modeling potential range expansion of the invasive shrub Leucaena leucocephala in the Hengchun Peninsula, Taiwan. Invasive Plant Sci Manag 6:492–501. https://doi.org/10.1614/IPSM-D-13-00010.1

    Article  Google Scholar 

  • Davies K, Sheley R (2007) A conceptual framework for preventing the spatial dispersal of invasive plants. Weed Sci 55:178–184

    Article  CAS  Google Scholar 

  • Foxcroft L, Richardson D, Rouget M (2009) Patterns of alien plant distribution at multiple spatial scales in a large national park: implications for ecology, management and monitoring. Divers Distrib 15:367–378

    Article  Google Scholar 

  • Fukasawa K, Koike F, Tanaka N, Otsu K (2009) Predicting future invasion of an invasive alien tree in a Japanese oceanic island by process-based statistical models using recent distribution maps. Ecol Res 24:965–975. https://doi.org/10.1007/978-4-431-53859-2_25

    Article  Google Scholar 

  • Funakoshi M (1979) Formation of Leucaena leucocephala, forest in the Ogasawara Islands. Annu Rep Ogasawara Res (in Japanese) 13:59–72

    Google Scholar 

  • Giljohann KM, Hauser CE, Williams NSG, Moore JL (2011) Optimizing invasive species control across space: Willow invasion management in the Australian Alps. J Appl Ecol 48:1286–1294. https://doi.org/10.1111/j.1365-2664.2011.02016.x

    Article  Google Scholar 

  • Greiner M (1995) Two-graph receiver operating characteristic (TG-ROC): a Microsoft-EXCEL template for the selection of cut-off values in diagnostic tests. J Immunol Methods 185:145–146

    Article  CAS  PubMed  Google Scholar 

  • Grevstad FS (2005) Simulating control strategies for a spatially structured weed invasion: Spartina alterniflora (Loisel) in Pacific Coast estuaries. Biol Invasions 7:665–677

    Article  Google Scholar 

  • Grice A, Clarkson J, Calvert M (2011) Geographic differentiation of management objectives for invasive species: a case study of Hymenachne amplexicaulis in Australia. Environ Sci Policy 14:986–997

    Article  Google Scholar 

  • Gupta B, Huang B (2014) Mechanism of salinity tolerance in plants: physiological, biochemical, and molecular characterization. Int J Genomics Article ID

  • Hata K, Kato H, Kachi N (2010a) Litter of an alien tree, Casuarina equisetifolia, inhibits seed germination and initial growth of a native tree on the Ogasawara Islands (subtropical oceanic islands). J For Res 15:384–390. https://doi.org/10.1007/s10310-010-0199-4

    Article  CAS  Google Scholar 

  • Hata K, Suzuki JI, Kachi N (2010b) Fine-scale spatial distribution of seedling establishment of the invasive plant, Leucaena leucocephala, on an oceanic island after feral goat extermination. Weed Res 50:472–480. https://doi.org/10.1111/j.1365-3180.2010.00795.x

    Article  Google Scholar 

  • Hata K, Osawa T, Hiradate S, Kachi N (2018) Soil erosion alters soil chemical properties and limits grassland plant establishment on an oceanic island even after goat eradication. Restor Ecol 1:2. https://doi.org/10.1111/rec.12854

    Article  Google Scholar 

  • Hauser CE, McCarthy MA (2009) Streamlining “search and destroy”: cost-effective surveillance for invasive species management. Ecol Lett 12:683–692. https://doi.org/10.1111/j.1461-0248.2009.01323.x

    Article  PubMed  Google Scholar 

  • Hiebert RD (1997) Prioritizing invasive plants and planning for management. In: Luken JO, Thieret JW (eds) Assessment and management of plant invasions. Series on environmental management. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-1926-2_15

  • Humston R, Mortensen D (2005) Anthropogenic forcing on the spatial dynamics of an agricultural weed: the case of the common sunflower. J Appl Ecol 42:863–872

    Article  Google Scholar 

  • Januchowski-Hartley SR, Visconti P, Pressey RL (2011) A systematic approach for prioritizing multiple management actions for invasive species. Biol Invasions 13:1241–1253. https://doi.org/10.1007/s10530-011-9960-7

    Article  Google Scholar 

  • Jiménez-Valverde A, Peterson A, Soberón J (2011) Use of niche models in invasive species risk assessments. Biol Invasions 13:2785–2797

    Article  Google Scholar 

  • Kluth S, Kruess A, Tscharntke T (2003) Influence of mechanical cutting and pathogen application on the performance and nutrient storage of Cirsium arvense. J Appl Ecol 40:334–343

    Article  Google Scholar 

  • Knight AT, Cowling RM, Rouget M et al (2008) Knowing but not doing: selecting priority conservation areas and the research—implementation gap. Conserv Biol 22:610–617

    Article  PubMed  Google Scholar 

  • Kumschick S, Bacher S, Dawson W et al (2012) A conceptual framework for prioritization of invasive alien species for management according to their impact. NeoBiota 15:69–100. https://doi.org/10.3897/neobiota.15.3323

    Article  Google Scholar 

  • Lichstein J, Simons T, Shriner S (2002) Spatial autocorrelation and autoregressive models in ecology. Ecol Monogr 72:445–463

    Article  Google Scholar 

  • Lowe S, Browne M, Boudjelas S, De PM (2000) 100 of the world’s worst invasive alien species: a selection from the global invasive species database. IUCN, Auckland

    Google Scholar 

  • Masters R, Sheley R (2001) Principles and practices for managing rangeland invasive plants. J Range Manag 54:502–517

    Article  Google Scholar 

  • McDonald-Madden E, Chades I (2011) Allocating conservation resources between areas where persistence of a species is uncertain. Ecol Appl 21:844–858

    Article  PubMed  Google Scholar 

  • Moilanen A, Wilson K, Possingham H (2009) Spatial conservation prioritization: quantitative methods and computational tools. Oxford University Press, Oxford

    Google Scholar 

  • Murray B, Phillips M (2010) Investment in seed dispersal structures is linked to invasiveness in exotic plant species of south-eastern Australia. Biol Invasions 12:2265–2275

    Article  Google Scholar 

  • Osawa T, Ito K (2015) 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. Popul Ecol 57:529–538. https://doi.org/10.1007/s10144-015-0493-2

    Article  Google Scholar 

  • Osawa T, Mitsuhashi H, Niwa H (2013) Many alien invasive plants disperse against the direction of stream flow in riparian areas. Ecol Complex 15:26–32. https://doi.org/10.1016/j.ecocom.2013.01.009

    Article  Google Scholar 

  • Osawa T, Hata K, Kachi N (2016a) Eradication of feral goats enhances expansion of the invasive shrub Leucaena leucocephala on Nakoudo-jima, an oceanic island. Weed Res 56:168–178

    Article  Google Scholar 

  • Osawa T, Okawa S, Kurokawa S, Ando S (2016b) Generating an agricultural risk map based on limited ecological information: a case study using Sicyos angulatus. Ambio 45:895–903. https://doi.org/10.1007/s13280-016-0782-9

    Article  PubMed  PubMed Central  Google Scholar 

  • Pichancourt J, Chadès I, Firn J (2012) Simple rules to contain an invasive species with a complex life cycle and high dispersal capacity. J Appl Ecol 49:52–62

    Article  Google Scholar 

  • Prendergast JR, Quinn RM, Lawton JH (1999) The gaps between theory and practice in selecting nature reserves. Conserv Biol 13:484–492

    Article  Google Scholar 

  • Pyšek P, Richardson DM (2010) Invasive species, environmental change and management, and health. Annu Rev Environ Resour 35:25–55. https://doi.org/10.1146/annurev-environ-033009-095548

    Article  Google Scholar 

  • Shaw D (2005) Remote sensing and site-specific weed management. Front Ecol Environ 3:526–532

    Article  Google Scholar 

  • Shea K, Possingham H, Murdoch W (2002) Active adaptive management in insect pest and weed control: intervention with a plan for learning. Ecol Appl 12:927–936. https://doi.org/10.1890/1051-0761(2002)012[0927:AAMIIP]2.0.CO;2

    Article  Google Scholar 

  • Simberloff D, Rejmánek M (2011) Encyclopedia of biological invasions. University of California Press, Berkeley

    Google Scholar 

  • Swets J (1988) Measuring the accuracy of diagnostic systems. Science (80-) 240:1285–1293

    Article  CAS  Google Scholar 

  • van Wilgen BW, Forsyth GG, Le Maitre DC et al (2012) An assessment of the effectiveness of a large, national-scale invasive alien plant control strategy in South Africa. Biol Conserv 148:28–38

    Article  Google Scholar 

  • Vilà M, Basnou C, Pyšek P, Josefsson M (2010) How well do we understand the impacts of alien species on ecosystem services? A pan-European, cross-taxa assessment. Front Ecol Environ 8:135–144

    Article  Google Scholar 

  • Zhu W, Zeng N, Wang N (2010) Sensitivity, specificity, accuracy, associated confidence interval and ROC analysis with practical SAS implementations. NESUG Proc Heal

Download references

Acknowledgements

We thank Dr. A. Mizuguchi for several useful discussions for this study. Two anonymous reviewers provided us the constructive suggestions. This study was supported partly by JSPS KAKENHI Grant Number 16H01794.

Author information

Author notes

  1. Takeshi Osawa and Munemitsu Akasaka have contributed equally in this work.

Authors and Affiliations

  1. Tokyo Metropolitan University, Minami-Osawa 1-1, Hachiouji, Tokyo, 192-0397, Japan

    Takeshi Osawa & Naoki Kachi

  2. Institute of Agriculture, Tokyo University of Agriculture and Technology, Fuchu, Tokyo, 183-8509, Japan

    Munemitsu Akasaka

  3. Institute for Agro-environmental Sciences, NARO, Tsukuba, Ibaraki, 305-8604, Japan

    Takeshi Osawa

Authors
  1. Takeshi Osawa
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Munemitsu Akasaka
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Naoki Kachi
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Takeshi Osawa.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Appendix

Appendix

See Figs. 6, 7 and 8.

Fig. 6
figure 6

Illustration of eight configurations of neighboring occurrence cells (Nc): a four adjacent cells provide propagules (diagonally adjacent cells were not treated as adjacent); b eight adjacent cells (diagonally adjacent cells are treated as adjacent) provide propagules; c cells within two units of a focal cell provide the propagules (diagonally adjacent cells were not regarded as adjacent with one unit); and d eight adjacent cells and sixteen outer adjacent cells provide propagules

Full size image
Fig. 7
figure 7

Maps based on the sub-models. Map a 25 highest-ranked grids based on propagule supply values; Map b 25 highest-ranked grids based on habitat suitability values

Full size image
Fig. 8
figure 8

The map of classification results with real occurrences points

Full size image

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Osawa, T., Akasaka, M. & Kachi, N. Facilitation of management plan development via spatial classification of areas invaded by alien invasive plant. Biol Invasions 21, 2067–2080 (2019). https://doi.org/10.1007/s10530-019-01958-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10530-019-01958-2

Keywords

Search

Navigation