Habitat invasion risk assessment based on Landsat 5 data, exemplified by the shrub Rosa rubiginosa in southern Argentina

Austral Ecology

Volumn 36, Issue 7, 2011, Pages 870-880

  Zimmermann, Heike ^a   Von Wehrden, Henrik ^a,b   Damascos, Maria A ^c   Bran, Donaldo ^d   Welk, Erik ^a   Renison, Daniel ^e   Hensen, Isabell ^a  

^a MARTIN LUTHER UNIVERSITY HALLE WITTENBERG   (Germany)

^b LEUPHANA UNIVERSITY OF LÜNEBURG   (Germany)

^c UNIVERSIDAD NACIONAL DEL COMAHUE   (Argentina)

^d Inst Nac de Tecnol Agropecuaria   (Argentina)

^e UNIVERSIDAD NACIONAL DE CÓRDOBA   (Argentina)

Author keywords

Alien species; Patagonia; Presence only; Remote sensing; Rosaceae

Indexed keywords

BIOINDICATOR; BIOLOGICAL INVASION; CONIFEROUS FOREST; CONSERVATION PLANNING; DICOTYLEDON; ENVIRONMENTAL DISTURBANCE; HABITAT QUALITY; HABITAT TYPE; INVASIBILITY; INVASIVE SPECIES; LANDSAT; PATCH USE; PREDICTION; REMOTE SENSING; RISK ASSESSMENT; SATELLITE DATA; SATELLITE SENSOR; SHRUB; URBAN AREA; VEGETATION COVER; VEGETATION INDEX;

ARGENTINA; PATAGONIA;

AUSTROCEDRUS CHILENSIS; NOTHOFAGUS DOMBEYI; ROSA RUBIGINOSA; ROSACEAE;

EID: 80055021229     PISSN: 14429985     EISSN: 14429993     Source Type: Journal    
DOI: 10.1111/j.1442-9993.2010.02230.x     Document Type: Article

References (60)

1. Aguiar M. R. & Sala O. E. (1998) Interactions among grasses, shrubs, and herbivores in Patagonian grass-shrub steppes. Ecol. Austral 8, 201-10.
2. Allen T. R. & Kupfer J. A. (2001) Spectral response and spatial pattern of Fraser fir mortality and regeneration, Great Smoky Mountains, USA. Plant Ecol. 156, 59-74.
3. Andrew M. E. & Ustin S. L. (2009) Habitat suitability modelling of an invasive plant with advanced remote sensing data. Divers. Distrib. 15, 627-40.
4. Aparicio A. G., Pastorino M. J. & Gallo L. A. (2010) Genetic variation of early height growth traits at the xeric limits of Austrocedrus chilensis (Cupressaceae). Austral Ecol. 35, 825-36.
5. Bellingham P. J., Duncan R. P., Lee W. G. & Buxton R. P. (2004) Seedling growth rate and survival do not predict invasiveness in naturalized woody plants in New Zealand. Patagonia For 106, 308-16.
6. Bran D., Damascos M., Lopéz C., Ayesa J., Umana F. & Moraga H. (2004) Distribución, abundancia y disponibilidad de frutos de rosa mosqueta en la Provincia de Neuquén. Patagonia For. 10, 6-8.
7. Campbell J. B. (1996) Introduction to Remote Sensing. The Guilford Press, New York.
8. Campbell G. S., Blackwell P. G. & Woodward F. I. (2002) Can landscape-scale characteristics be used to predict plant invasions along rivers? J. Biogeogr. 29, 535-43.
9. Catford J. A., Jansson R. & Nilsson C. (2009) Reducing redundancy in invasion ecology by integrating hypotheses into a single theoretical framework. Divers. Distrib. 15, 22-40.
10. Crist E. P. & Cicone R. C. (1984) A physically-based transformation of Thematic Mapper data - the Tm Tasseled Cap. IEEE Trans. Geosci. Remote Sense. 22, 256-63.
11. Crist E. P., Laurin R. & Cicone R. C. (1986) Vegetation and soils information contained in transformed Thematic Mapper data. Proceedings of IGARSS 1986 International Geoscience and Remote Sensing Symposium 254, 1465-70.
12. Cuneo P., Jacobson C. R. & Leishman M. R. (2009) Landscape-scale detection and mapping of invasive African Olive (Olea europaea L. ssp cuspidata Wall ex G. Don Ciferri) in SW Sydney, Australia using satellite remote sensing. Appl. Veg. Sci. 12, 145-54.
13. Damascos M. & Gallopin G. G. (1992) Ecologiá de un arbusto introducido (Rosa rubiginosa L=Rosa eglanteria L.): riesgo de invasión y efectos en las comunidades vegetales de la región andino-patagónica de Argentina. Rev. Chil. Hist. Nat. 65, 395-407.
14. Damascos M. A., Ladio A. H., Rovere A. E. & Ghermandi L. (2005) Semillas de rosa mosqueta: dispersión y germinación en diferentes bosques nativos andino-patagónicos. Patagonia For. 11, 2-6.
15. Davis M. A. (2009) Invasion Biology. Oxford University Press, New York.
16. Elith J. (2002) Quantitative methods for modeling species habitat: comparative performance and an application to Australian plants. In: Quantitative Methods for Conservation Biology (eds S. Ferson & M. Burgman) pp. 39-58. Springer, New York.
17. Elith J. & Graham C. H. (2009) Do they? How do they? WHY do they differ? On finding reasons for differing performances of species distribution models. Ecography 32, 66-77.
18. Elith J., Graham C. H., Anderson R. P. etal. (2006) Novel methods improve prediction of species' distributions from occurrence data. Ecography 29, 129-51.
19. Franklin K. A., Lyons K., Nagler P. L. etal. (2006) Buffelgrass (Pennisetum ciliare) land conversion and productivity in the plains of Sonora, Mexico. Biol. Conserv. 127, 62-71.
20. Fuentes N., Ugarte E., Kühn I. & Klotz S. (2008) Alien plants in Chile: inferring invasion periods from herbarium records. Biol. Invasions 10, 649-57.
21. Ghermandi L., Guthmann N. & Bran D. (2004) Early post-fire succession in northwestern Patagonia grasslands. J. Veg. Sci. 15, 67-76.
22. Ghioca-Robrecht D. M., Johnston C. A. & Tulbure M. G. (2008) Assessing the use of multiseason Quickbird Imagery for mapping invasive species in a Lake Erie coastal marsh. Wetlands 28, 1028-39.
23. Giovanelli J. G. R., Haddad C. F. B. & Alexandrino J. (2008) Predicting the potential distribution of the alien invasive American bullfrog (Lithobates catesbeianus) in Brazil. Biol. Invasions 10, 585-90.
24. Hanley J. A. & Mcneil B. J. (1982) The meaning and use of the area under a receiver operating characteristic (Roc) curve. Radiology 143, 29-36.
25. Hatton T. J. (1989) Spatial patterning of sweet briar (Rosa rubiginosa) by two vertebrate species. Austral Ecol. 14, 199-205.
26. Healey S. P., Cohen W. B., Yang Z. Q. & Krankina O. N. (2005) Comparison of Tasseled Cap-based Landsat data structures for use in forest disturbance detection. Remote Sens. Environ. 97, 301-10.
27. Henker H. (2000) Rosa. In: Gustav Hegi. Illustrierte Flora von Mitteleuropa IV 2C (ed. H. J. Conert etal.) pp. 33-108. Parey, Berlin.
28. Hijmans R. J., Cameron S. E., Parra J. L., Jones P. G. & Jarvis A. (2005) Very high resolution interpolated climate surfaces for global land areas. Int. J. Climatol. 25, 1965-78.
29. Huang C. Y. & Asner G. P. (2009) Applications of remote sensing to alien invasive plant studies. Sensors 9, 4869-89.
30. Hunt E. R. & Williams A. E. P. (2006) Detection of flowering leafy spurge with satellite multispectral imagery. Rangel. Ecol. Manag. 59, 494-9.
31. Hunt E. R., Everitt J. H., Ritchie J. C. etal. (2003) Applications and research using remote sensing for rangeland management. Photogramm. Eng. Rem. S. 69, 675-93.
32. Idawo C., Jajah M. & Laneve G. (2004) Application of hyperspectral techniques to multispectral data: Spectral Mixture Analysis (SMA) in mapping of emergent macrophytes in a water hyacinth infested area. Remote Sens. Agric. Ecosyst. Hydrol. V. 5232, 293-302.
33. Kauth R. J. & Thomas G. S. (1976) The Tasseled Cap - a graphic description of the spectral-temporal development of agricultural crops as seen by LANDSAT. Proceedings of the LARS 1976 Symposium on Machine Processing of Remotely Sensed data (Laboratory for Applications of Remote Sensing) 151, 4B41-51.
34. Madden M. (2004) Remote sensing and geographic information system operations for vegetation mapping of invasive exotics. Weed Technol. 18, 1457-63.
35. Meusel H. & Jäger E. J. (1965) Vergleichende Chorologie der Zentraleuropäischen Flora. Gustav Fischer, Jena.
36. Mitchell J. J. & Glenn N. F. (2009) Leafy spurge (Euphorbia esula) classification performance using hyperspectral and multispectral sensors. Rangel. Ecol. Manag. 62, 16-27.
37. Nel J. L., Richardson D. M., Rouget M. etal. (2004) A proposed classification of invasive alien plant species in South Africa: towards prioritizing species and areas for management action. S. Afr. J. Sci. 100, 53-64.
38. Parsons W. T. & Cuthbertson E. G. (2001) Noxious Weeds of Australia. Csiro Publishing, Collingwood.
39. Pearson A. K., Pearson O. P. & Gomez I. A. (1994) Biology of the bamboo Chusquea culeou (Poaceae, Bambusoideae) in southern Argentina. Vegetatio 111, 93-126.
40. Peterson A. T. & Holt R. D. (2003) Niche differentiation in Mexican birds: using point occurrences to detect ecological innovation. Ecol. Lett. 6, 774-82.
41. Phillips S. J. & Dudík M. (2008) Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation. Ecography 31, 161-75.
42. Phillips S. J., Anderson R. P. & Schapire R. E. (2006) Maximum entropy modeling of species geographic distributions. Ecol. Model. 190, 231-59.
43. R Development Core Team (2009) R: A Language and Environment for Statistical Computing. 2.9.0. R Foundation for Statistical Computing, Vienna. ISBN 3-900051-07-0. [Cited 28 August 2009.] Available from URL.
44. Richardson D. M., Pyšek P., Rejmanek M., Barbour M. G., Panetta F. D. & West C. J. (2000) Naturalization and invasion of alien plants: concepts and definitions. Divers. Distrib. 6, 93-107.
45. Roura-Pascual N., Brotons L., Peterson A. T. & Thuiller W. (2009) Consensual predictions of potential distributional areas for invasive species: a case study of Argentine ants in the Iberian Peninsula. Biol. Invasions 11, 1017-31.
46. Sala O. E., Lauenroth W. K. & Golluscio R. A. (1997) Plant functional types in temperate semi-arid regions. In: Plant Functional Types: Their Relevance to Ecosystem Properties and Global Change (eds H. H. S. T. M. Smith & F. I. Woodward) pp. 217-33. Cambridge University Press, Cambridge.
47. Seibert P. (1993) Vegetation und Mensch in Südamerika aus historischer Sicht=History of vegetation and man in South America. Phytocoenologia 23, 457-98.
48. Sher A. A. & Hyatt L. A. (1999) The disturbed resource-flux invasion matrix: a new framework for patterns of plant invasion. Biol. Invasions 1, 107-14.
49. Simberloff D., Relva M. A. & Nuñez M. (2003) Introduced Species and Management of a Nothofagus/Austrocedrus Forest. Environ. Manage. 31, 263-75.
50. Singh N. & Glenn N. F. (2009) Multitemporal spectral analysis for cheatgrass (Bromus tectorum) classification. Int. J. Remote Sens. 30, 3441-62.
51. Vázquez D. P. & Aragón R. (2002) Introduction. Biol. Invasions 4, 1-5.
52. Veblen T. T., Kitzberger T. & Lara A. (1992a) Disturbance and forest dynamics along a transect from Andean rain-forest to Patagonian shrubland. J. Veg. Sci. 3, 507-20.
53. Veblen T. T., Mermoz M., Martin C. & Kitzberger T. (1992b) Ecological impacts of introduced animals in Nahuel-Huapi-National-Park, Argentina. Conserv. Biol. 6, 71-83.
54. Wang J., Rich P. M., Price K. P. & Kettle W. D. (2004) Relations between NDVI and tree productivity in the central Great Plains. Int. J. Remote Sens. 25, 3127-38.
55. Ward D. F. (2007) Modelling the potential geographic distribution of invasive ant species in New Zealand. Biol. Invasions 9, 723-35.
56. Weber E. (2003) Invasive Plant Species of the World: A Reference Guide to Environmental Weeds. CABI, Cambridge.
57. Werlemark G. (2000) Evidence of apomixis in hemisexual dogroses Rosa section Caninae. Sex Plant Reprod. 12, 353-9.
58. Wilfong B. N., Gorchov D. L. & Henry M. C. (2009) Detecting an invasive shrub in deciduous forest understories using remote sensing. Weed Sci. 57, 512-20.
59. Wissemann V. & Hellwig F. (1997) Reproduction and hybridisation in the genus Rosa Section Caninae (Ser.). Bot. Acta 110, 251-6.
60. Zimmermann H., Ritz C. M., Hirsch H., Renison D., Wesche K. & Hensen I. (2010) Highly reduced genetic diversity of Rosa rubiginosa L. populations in the invasive range. Int. J. Plant Sci. 4, 435-46.