Abstract
Earthquakes and typhoons have affected land use and land cover (LU/LC) in Taiwan, but an endemic grass, Arundo formosana, remains widely distributed. However, we lack knowledge about the niche of A. formosana. The purpose of this study was to estimate the area of A. formosana distribution by using scientific evidence and to describe its niche. In 2000, the Jiou-Jiou Peaks Natural Reserve was reported to be used to protect the unusual topography and complex biodiversity in the region. Several vegetation types can no longer grow in this region because of natural disturbances. However, A. formosana is able to grow. Because of the abundant roots and foliage of A. formosana, erosion is reduced. A. formosana can hang downward and thrive in crevices and cliffs, so its niche area might be underestimated if researchers ignored this characteristic. Today, most remote sensing images are two dimensional (2D), and sometimes 2D spatial information is insufficient to explain all natural phenomena. Therefore, we integrated ortho-aerial photographs and the digital terrain model (DTM) to estimate and analyze the niche area of A. formosana. The results indicated that the niche area of the species increased from 26.34 % to 32.86 % after the slope factor was considered. The results also exhibited that surfaces facing northeast, east, south, and southeast from 22.5° to 202.5° were more suitable for the growth of A. formosana. The slopes of the surfaces with A. formosana growth ranged from 0.00° to 81.82°, with an average of 53.99° ± 13.45°; slopes of 74° to 78° were the most suitable for A. formosana growth. The steeper peaks (steeper than 79°) were still covered with bare soil. This niche information could provide land managers with valuable information for water and soil conservation and eco-technology.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Bishop YM, Fienberg SE, Holland PW (1975) Discrete multivariate analysis: theory and practice. MIT, Cambridge, p 575
Boles SH, Xiao X, Liu J, Zhang Q, Munkhtuya S, Chen S, Ojima D (2004) Land cover characterization of Temperate East Asia using multi-temporal VEGETATION sensor data. Remote Sens Environ 90:389–477
Chang SC (2000) The survey and designation of potentially landslide hazardous settlements after Chi-Chi earthquake. Proceedings of the second national conference on landslide stabilization and disaster prevention research in Taiwan, Taipei, Taiwan (in Chinese)
Campbell BJ (2002) Introduction to remote sensing, 3rd edn. Taylor and Francis, London, pp 124–127, 319–351
Congalton RG (1991) A review of assessing the accuracy of classifications of remotely sensed data. Remote Sens Environ 37(1):35–46
Congalton RG, Green K (1999) Assessing the accuracy of remotely sensed data: principles and practices. Lewis, Boca Raton
Endemic Species Research Institute (2003) The legend of Jiou-Jiou Peaks. Taiwan Endemic Species Research Institute (in Chinese)
Frost VS, Stiles JA, Shanmugan KS, Holtzman JC (1982) A model for radar images and its application to adaptive digital filtering of multiplicative noise. IEEE Trans Pattern Anal Mach Intell 4(2):157–166
Giannetti F, Montanarella L, Salandin R (2001) Integrated use of satellite images, DEMs, soil and substrate data in studying mountainous lands in supporting their sustainable development. Earth Observ Geoinf 3:25–29
Horn BP (1981) Hill shading and the reflectance map. Proc IEEE 69:14–47
Janssen LLF, Vanderwel JM (1994) Accuracy assessment of satellite derived land-cover data: a review. Photogram Eng Remote Sens 60(4):419–426
Lee JS (1981) Speckle analysis and smoothing of synthetic aperture radar images. Comput Graphics Image Process 17(1):24–32
Liao CC (1992) The studies of vegetation ecology and flora analysis in the area of Houyenshan in Shuandong of Nantou County in Taiwan. Bull Exp For Natl Chung Hsing Univ 14(1):1–60 (in Chinese)
Lillesand TM, Kiefer RW, Chipman JW (2007) Remote sensing and image interpretation, 6th edn. Taylor and Francis, London, pp 482–500
Lin CY, Wu JP, Lin WT (2001) The priority of revegetation for the landslides caused by the catastrophic Chi-Chi earthquake at Ninety-Nine peaks in NantouAera. J Chin Soil Water Conserv 32:59–66 (in Chinese)
Lin WT, Chou WC, Lin CY, Huang PH, Tsai JS (2005) Vegetation recovery monitoring and assessment at landslides caused by earthquake in central Taiwan. For Ecol Manag 210:55–66
Liu TS, Su HJ (1983) Forest ecology. Sangwu, Taipei, pp 47–50
Nantou Forest District Office (2004) Gorgenous mountains and water. Introduction to the protection areas, pp 12–17 (in Chinese)
Skidmore AK (1989) A comparison of techniques for calculating gradient and aspect from a grid digital elevation model. Int J Geogr Inf Syst 3(4):323–334
Taiwan Forestry Bureau (2009) http://www.forest.gov.tw/mp.asp?mp=1
Acknowledgments
We thank the Nantou Forest District Office and Taichung Working Station for providing the field survey data.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer Japan
About this chapter
Cite this chapter
Tsai, JI., Feng, FL. (2014). Integrating the Aerial Photos and DTM to Estimate the Area and Niche of Arundo formosana in Jiou-Jiou Peaks Natural Reserve of Taiwan. In: Nakagoshi, N., A. Mabuhay, J. (eds) Designing Low Carbon Societies in Landscapes. Ecological Research Monographs. Springer, Tokyo. https://doi.org/10.1007/978-4-431-54819-5_18
Download citation
DOI: https://doi.org/10.1007/978-4-431-54819-5_18
Published:
Publisher Name: Springer, Tokyo
Print ISBN: 978-4-431-54818-8
Online ISBN: 978-4-431-54819-5
eBook Packages: Biomedical and Life SciencesBiomedical and Life Sciences (R0)