Aplikasi Penderiaan Jauh atau Remote Sensing dalam Pemodelan Pengaruh Iklim terhadap Taburan Burung Hijrah Di Hutan Paya Laut Matang, Perak

Authors

  • Azimah Abd Rahman Pusat Pengajian Sains Kajihayat, Universiti Sains Malaysia, 11800 Penang, Malaysia

DOI:

https://doi.org/10.11113/sh.v8n3.811

Keywords:

Remote sensing, climate model, temperature, rainfall, migratory bird, matang mangrove forest

Abstract

Climate changes especially temperature and rainfall effect the habitat selection of bird migration in mangrove area to get some food and temporary stopover. The increase and decrease of temperature and rainfall is varies between upstream to downstream. This research was done to prove that temperature and rainfall are uneven in some area even in same boundary that can give impact in habitat selection of migratory birds. This research was concern around Matang Mangrove Forest, Perak that already familiar as focal area for migratory birds. Remote Sensing application was used in this research through use of ERDAS Imagine 8.5 which is based on pixels. This application helps to model the relationship between climate, namely temperature and rainfall with distribution density of migratory birds around the study area. Climate modeling was conducted to predict the distribution of migratory bird populations in the future due to changes in temperature and rainfall over a period of 5 years and 20 years. The results of this study showed a decrease in the population of migratory birds by 6.4% for a period of 5 years and a decrease to 7.5% for the last 20 years.  Sungai Sepetang and Sungai Selinsing shown that migratory bird populations decreased continuously after 20 years. However the Sangga Besar, Teluk Kertang, Temerlok, Pulau Pasir Hitam dan Sungai Tinggi area showed an increase in the arrival of migratory birds after 20 years.  This information analysis help the related agencies in manage and maintain the area around the Matang Mangrove Forest identified potential habitat for migratory birds in the future. In addition, through this study migratory bird monitoring can be carried out systematically on a wider scope without ignoring areas that strives to be the alternative habitat for migratory birds in the future.

References

Allen, A.P., O’Connor, R. J. (2000). Interactive Effects Of Land Use And Other Factors On Regional Bird Distributions.Journal Of Biogeography, 27, 889–900.

Alongi, D.M., ASasekumarb, F Tirendia, P Dixona, (1998). The Influence Of Stand Age On Benthic Decomposition And Recycling Of Organic Matter In Managed Mangrove Forests Of Malaysia.Journal Of Experimental Marine Biology And Ecology, 225(2),197–218

Cotton, P. A. (2003). Avian Migration Phenology And Global Climate Change.Proceedings Of The National Academy Of Sciences, 100(21), 12219-12222

Galbraith, H., Jones, R., Park, R., Clough, J., Herrod-Julius, S., Harrington, B., Page, G. (2005). Global Climate Change And Sea Level Rise Potential Losses Of Intertidal Habitat For Shorebirds. USDA Forest Service Gen. Tech. Rep. PSW-GTR-191.

GauthreauxJr,S.A., Belser, C.G.(2003).Radar Ornithology And Biological Conservation.The Auk, 120(2), 266-277.

Gorokhovich, Y., Voustianiouk, A. (2006).Accuracy Assessment Of The Processed SRTM Basedelevation Data By CGIAR Using Field Data From USA And Thailand And Its Relation To The Terrain Characteristics. Remote Sens. Environ, 104, 409-415.

Howes,J., Bakewell,D., Yus Rusila Nor. (2003). Panduan Studi Burung Pantai. Indonesia :Wetland International, No ISBN: 979-95899-2-4.

Jamaluddin Md. Jahi.(2009). Pembangunan Pelancongan Dan Impaknya Terhadap Persekitaran Fizikal Pinggir Pantai. Malaysian Journal Of Environmental Management, 10 (2), 71-87.

Moore, F.R., Woodrey, M.S., Buler, J. J.,Woltmann, S., Simons,T.R. (2005). Understanding The Stopover Of Migratory Birds: A Scale Dependent Approach.USDA Forest Service Gen. Tech. Rep. PSW-GTR-19.

Osborne, P. E., Alonso, J. C., & Bryant, R. G. (2001). Modelling Landscapeâ€Scale Habitat Use Using GIS And Remote Sensing: A Case Study With Great Bustards. Journal Of Applied Ecology, 38(2), 458-471.

Peterson, A.T. (2001). Predicting Species' Geographic Distributions Based On Ecological Niche Modeling. The Condor, 103(3), 599-605.

Rabus, B., Eineder, M., Roth, A., &Bamler, R. (2003). The Shuttle Radar Topography Mission A New Class Of Digital Elevation Models Acquired By Spaceborne Radar. Journal Of Photogrammetry And Remote Sensing, 57, 241−262.

Sanz, J. J., Potti, J., Moreno, J., Merino, S., & FRÃAs, O. S. C. A. R. (2003). Climate Change And Fitness Components Of A Migratory Bird Breeding In The Mediterranean Region. Global Change Biology, 9(3), 461-472.

Scott, J. M., Davis, F., Csuti, B., Noss, R., Butterfield, B., Groves, C & Wright, R. G. (1993). Gap Analysis: A Geographic Approach To Protection Of Biological Diversity. Wildlife Monographs, 3-41.

Shao, G., Wu, J. (2008). The Accuracy Of Landscape Pattern Analysis Using Remote Sensing Data.Landscape Ecology, 23, 505–511.

Smith, C. R., De Leo, F. C., Bernardino, A. F., Sweetman, A. K., & Arbizu, P. M. (2008). Abyssal Food Limitation, Ecosystem Structure And Climate Change.Trends In Ecology & Evolution, 23(9), 518-528.

Taher Buyong.(2006). Spatial Statistics for Geographic Information Science. Malaysia: University Teknologi Malaysia Press.

Tankersley, R., Jr.,Orvis, K. (2003). Modeling The Geography Of Migratory Pathways And Stopover Habitats For Neotropical Migratory Birds. Conservation Ecology, 7(1): 7.

Wang, Y., Finch, D.M. (2002). Consistency Of Mist Netting And Point Counts In Assessing Landbird Species Richness And Relative Abundance During Migration. The Condor, 104(1), 59-72.

Downloads

Published

2016-07-19

How to Cite

Abd Rahman, A. (2016). Aplikasi Penderiaan Jauh atau Remote Sensing dalam Pemodelan Pengaruh Iklim terhadap Taburan Burung Hijrah Di Hutan Paya Laut Matang, Perak. Sains Humanika, 8(3). https://doi.org/10.11113/sh.v8n3.811

Issue

Section

Articles