A Case Study of Forest and Woodland Habitat Loss to Disturbance and Development in an Ex-Urban Landscape: Santa Clara County, California 1999-2009

Abstract

Analysis of Landsat satellite images was applied to detect changes in forest and woodland vegetation cover in Santa Clara County, California. Results showed that 92 km2 (22,730 acres) of forests and woodlands were highly disturbed in SCC between 1999 and 2009, 37% (34 km2) of which did not overlap with any known wildland fire boundaries, and hence, were confirmed to be lost to new residential or commercial development activities. Disturbed wooded area represented about 6% of the total 1575 km2 area of all remaining forest and woodlands in SCC prior to 1999. If the majority of disturbed forest and woodland area in SCC is not allowed to regenerate naturally and remain undeveloped, then the annual rate of disturbance would be equal to annual forest loss rates of countries such as Brazil, Venezuela, Mexico, and Madagascar since the year 2000. Based on this assessment, the Landsat analysis methodology would be capable of fulfilling a pressing need for consistent, continual, low-cost monitoring of changes in forest habitats and associated wildlife corridors throughout California.

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Potter, C. (2015) A Case Study of Forest and Woodland Habitat Loss to Disturbance and Development in an Ex-Urban Landscape: Santa Clara County, California 1999-2009. Current Urban Studies, 3, 18-24. doi: 10.4236/cus.2015.31003.

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1] Boryan, C., Yang, Z. W., Mueller, R., & Craig, M. (2011). Monitoring US Agriculture: The US Department of Agriculture, National Agricultural Statistics Service Cropland Data Layer Program. Geocarto International, 26, 341-358.
[2] Cohen, W. B., & Goward, S. N. (2004). Landsat’s Role in Ecological Applications of Remote Sensing. BioScience, 54, 535-545.
http://dx.doi.org/10.1641/0006-3568(2004)054[0535:LRIEAO]2.0.CO;2
[3] County of Santa Clara Department of Planning (CSCDP) (2012). Coyote Highlands Cluster Subdivision Draft Environmental Impact Report, SCH#: 2012022008. San Jose, CA: County of Santa Clara Department of Planning, 416 p.
[4] Crist, E. P., & Cicone, R. C. (1984). Application of the Tasseled-Cap Concept to Simulated Thematic Mapper Data. Photogrammetric Engineering and Remote Sensing, 50, 343-352.
[5] Diekmann, L., Algert, S., Gray, L., Hutcheson, J., Scheer, J., & Sponsler Clements, S. (2013). Santa Clara County Food System Assessment. Sebastopol, CA: Ag Innovations Network.
[6] FAO (2006). Global Forest Resources Assessment 2005: Progress towards Sustainable Forest Management, FAO Forestry Paper 147. Rome: Food and Agriculture Organization of the United Nations.
[7] Forero, L., Huntsinger, L., & Clawson, W. J. (1992). Land Use Change in Three San Francisco Bay Area Counties: Implications for Ranching at the Urban Fringe. Journal of Soil and Water Conservation, 47, 475-480.
[8] 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 Sensing of Environment, 97, 301-310. http://dx.doi.org/10.1016/j.rse.2005.05.009
[9] Huang, C., Wylie, B., Yang, L., Homer, C., & Zylstra, G. (2002). Derivation of a Tasseled-Cap Transformation Based on Landsat-7 At-Satellite Reflectance. International Journal of Remote Sensing, 23, 1741-1748.
[10] ICF International (2010). Santa Clara Valley Habitat Conservation Plan. Prepared for County of Santa Clara, City of San Jose, City of Morgan Hill, City of Gilroy, Santa Clara Valley Water District, Santa Clara Valley Transportation Authority.
[11] Kauth, R. J., & Thomas, G. S. (1976). The Tasselled-Cap—A Graphic Description of the Spectral-Temporal Development of Agricultural Crops as Seen by Landsat. Proceedings, Symposium on Machine Processing of Remotely Sensed Data, Purdue University, West Lafayette, IN, 29 June-1 July 1976, 41-51.
[12] Masek, J. G., Huang, C., Cohen, W., Kutler, J., Hall, F., Wolfe, R. et al. (2008). North American Forest Disturbance Mapped from a Decadal Landsat Record. Remote Sensing of Environment, 112, 2914-2926. http://dx.doi.org/10.1016/j.rse.2008.02.010
[13] Penrod, K., Garding, P. E., Paulman, C., Beier, P., Weiss, S., Schaefer, N., Branciforte, R., & Gaffney, K. (2013). Critical Linkages: Bay Area & Beyond. Produced by Science & Collaboration for Connected Wildlands, Fair Oaks, CA, in Collaboration with the Bay Area Open Space Council’s Conservation Lands Network, 612 p.
[14] Santa Clara Basin Watershed Management Initiative (SCBWMI) (2001). Watershed Characteristics Report, Chapter 4: Land Use in the Santa Clara Basin. Palo Alto, CA: The Santa Clara Basin Watershed Management Initiative, 143 p.
[15] SCCDA (2009). Annual Crop Report. San Jose, CA: Santa Clara County Department of Agriculture, 10 p.
[16] Vogelmann, J. E., Howard, S. M., Yang, L., Larson, C. R., Wylie, B. K., & Van Driel, J. N. (2001). Completion of the 1990s National Land Cover Data Set for the Conterminous United States. Photogrammetric Engineering and Remote Sensing, 67, 650-662.

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