Land Cover Based on Geophysical Characteristics in the Mount Sirimau Protection Forest Group, Ambon City, Maluku Province

  • Evelin Parera Program Studi Doktor Fakultas Kehutanan Universitas Gadjah Mada, Jln. Agro, Bulaksumur No. 1 Kocoran, Caturtunggal Kec. Depok, Sleman, Yogyakarta 55281, Indonesia
  • Ris H Purwanto Jurusan Manajemen Hutan, Fakultas Kehutanan, Universitas Gadjah Mada, Jln. Agro, Bulaksumur No. 1 Kocoran, Caturtunggal Kec. Depok, Sleman, Yogyakarta 55281, Indonesia
  • Dwiko B Permadi Jurusan Manajemen Hutan, Fakultas Kehutanan, Universitas Gadjah Mada, Jln. Agro, Bulaksumur No. 1 Kocoran, Caturtunggal Kec. Depok, Sleman, Yogyakarta 55281, Indonesia
  • Sumardi Sumardi Jurusan Silvikultur, Fakultas Kehutanan, Universitas Gadjah Mada Jln. Agro, Bulaksumur No. 1 Kocoran, Caturtunggal Kec. Depok, Sleman 55281, Yogyakarta, Indonesia
Keywords: characteristics, geophysics, land cover, protected forest

Abstract

The protected forest as life support ideally has a good performance in this case its vegetation, so that its main function can run well. However, as a forest with various functions, the protected forest of Ambon City, especially the Mount Sirimau Protection Forest Group as a strategic protected forest is located upstream of Ambon City which is very influential on the activities of Ambon City as its downstream, because it has a social and economic impact. The performance of a forest area can be seen from its land cover. In addition, the geophysical characteristics of an area will also affect the land cover of the area. Therefore, the purpose of this study was to determine the condition of land cover in the Mount Sirimau Protection Forest Group based on its geophysical characteristics. The research method used was the survey method and the data analysis method was descriptive analysis. The land covers in the Mount Sirimau Protection Forest Group consisted of seven land covers, spreading over soil types, rock types, topography, and slopes. Intensive management of protected forests is needed according to their geophysical characteristics so that the function of protected forests can be more optimal.

 

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References

Adhikari, S., Fik, T., and Dwivedi, P. 2017. Proximate causes of land-use and land-cover change in Bannerghatta National Park : A spatial statistical model. Forests 8(342):1–23. https://doi.org/10.3390/f8090342.

Arnold, J.E.M. (2001). Forests and people: 25 years of community forestry. Food and Agriculture Organizations of the United Nations, Rome, Italy. http://www.fao.org/docrep/012/y2661e/y2661e00.pdf.

Balai Taman Nasional Way Kambas [BYNWKS]. 2008. Buku Zonasi Taman Nasional Way Kambas. Lampung.

Barrett, E.C. and Curtis, L. 1982. Introduction to environmental remote sensing. In Book Reviews Vol. 2. pp. 293–294). University of Pittsburgh, London.

Belward, A. S., and Skøien, J. O. 2015. Who launched what, when and why; trends in global land-cover observation capacity from civilian earth observation satellites? ISPRS Journal of Photogrammetry and Remote Sensing 103:115–128. https://doi.org/10.1016/j.isprsjprs.2014.03.009

Chen, J., Chen, J., Liao, A., Cao, X., Chen, L., Chen, X., … Mills, J. (2015). Global land cover mapping at 30 m resolution: A POK-based operational approach. ISPRS Journal of Photogrammetry and Remote Sensing 103:7–27. https://doi.org/10.1016/j.isprsjprs.2014.09.002

Congalton, R. G., Gu, J., Yadav, K., Thenkabail, P., and Ozdogan, M. 2014. Global land cover mapping: A Review and Uncertainty Analysis. Remote Sensing 6:12071–12092. https://doi.org/10.3390/rs61212070

Costa, H., Foody, G. M., and Boyd, D. S. 2017. Remote Sensing of Environment Using mixed objects in the training of object-based image classifications. Remote Sensing of Environment 190:188–197. https://doi.org/10.1016/j.rse.2016.12.017.

Direktur Jenderal Planologi Kehutanan. 2015. Peraturan Direktur Jenderal Planologi Kehutanan Nomor : P.1/VII-IPSDH/2015 tentang Pedoman Pemantauan Penutupan Lahan. Jakarta: Direktur Jenderal Planologi Kehutanan.

Dwipayanti, U., Kastaman, R., dan Asdak, C. 2009. Model Dinamika Sistem Kerusakan Hutan di Kecamatan Ciemas Kabupaten Sukabumi. Prosiding Seminar Nasional Himpunan Informatika Pertanian, pp. 978–979. Institut Pertanian Bogor– Departemen Pertanian Republik Indonesia, Bogor.

Gilani, H., Lal, H., Murthy, M. S. R., Phuntso, P., Pradhan, S., Bajracharya, B., and Shrestha, B. 2014. Decadal land cover change dynamics in Bhutan. Journal of Environmental Management 148:91-100. https://doi.org/10.1016/j.jenvman.2014.02.014

Ginoga, K., Lugina, M., dan Djaenudin, D. 2005. Kajian kebijakan pengelolaan hutan lindung. Jurnal Penelitian Sosial & Ekonomi 2(2):203–232.

Gómez, C., White, J. C., and Wulder, M. A. 2016. Optical remotely sensed time series data for land cover classification: A review. ISPRS Journal of Photogrammetry and Remote Sensing 116:55–72. https://doi.org/10.1016/j.isprsjprs.2016.03.008 0924-2716/Crown

Grimm, N. B., Faeth, S. H., Golubiewski, N. E., Redman, C. L., Wu, J., Bai, X., and Briggs, J. M. 2008. Global change and the ecology of cities. Science 319:756–760.

Hardjowigeno, S. 2002. Ilmu Tanah. Mediyatama Sarana Perkasa, Jakarta.

Hardiyatmo, H.C.2002.Mekanika Tanah I, Gadjah Mada University Press, Yogyakarta.

Huang, H., Chen, Y., Clinton, N., Wang, J., Wang, X., Liu, C., … Zhu, Z. 2017. Remote sensing of environment mapping major land cover dynamics in Beijing using all Landsat images in Google Earth Engine. Remote Sensing of Environment 202:166-176. https://doi.org/10.1016/j.rse.2017.02.021

Istanto, K, Raharjo, I., dan Zulkarnain, I. 2018. Aplikasi Sistem Informasi Geografis (SIG) untuk Analisis Tekanan Penduduk Terhadap Kawasan Lindung di Hulu Waduk Batutegi. Prosiding Seminar Teknologi Pertanian VII Polinela, p.381–391.

Jin, S., Yang, L., Zhu, Z., and Homer, C. 2017. A land cover change detection and classi fi cation protocol for updating Alaska NLCD 2001 to 2011. Remote Sensing of Environment 195:44–55. https://doi.org/10.1016/j.rse.2017.04.021.

Kiswanto, Tsuyuki, S., Mardiany, and Sumaryono. 2018. Completing yearly land cover maps for accurately describing annual changes of tropical landscapes. Global Ecology and Conservation 13(2018 e00384):1–12. https://doi.org/10.1016/j.gecco.2018.e00384

Lidiawati, I., Hasibuan, R. S., dan Wijayanti, R. 2019. Perubahan Penutupan Lahan Kota Bogor. Talenta Conference Series, 2(1). https://doi.org/10.32734/anr.v2i1.572

Lillesland, T. M. and Kjefer, R. W. 1979. Remote sensing and image interpretation. Geological Magazine 177(3):305–306. https://doi.org/10.1017/S0016756800030636

Lindström, S., Mattsson, E., and Nissanka, S. P. 2012. Forest cover change in Sri Lanka: The role of small-scale farmers. Applied Geography 34:680–692. https://doi.org/10.1016/j.apgeog.2012.04.011

Maulana, D. A., dan Darmawan, A. 2014. Perubahan penutupan lahan di Taman Nasional Way Kambas. Jurnal Sylva Lestari 2(1): 87–94.

Moeliono, M., Thuy, P. T., Bong, I. W., and Wong, G. Y. 2017. Social Forestry - why and for whom? A comparison of policies in Vietnam and Indonesia. Forest and Society 1:78–97. https://doi.org/10.24259/fs.v1i2.2484

Pemerintah Republik Indonesia. 2008. Peraturan Pemerintah Republik Indonesia Nomor 3 tahun 2008 tentang Perubahan atas Peraturan Pemerintah Nomor 6 tahun 2007 tentang Tata Hutan dan Penyusunan Rencana Pengelolaan Hutan, serta Pemanfaatan Hutan. Jakarta: Sekretaris Negara Republik Indonesia.

Prasetyo, L. B., Kartodihardjo, H., Adiwibowo, S., Okarda, B., and Setiawan, Y. 2009. Spatial model approach on deforestation of Java Island, Indonesia. JIFS 6:37–44.

Pudjiharta, A. 2008. pengaruh pengelolaan hutan pada hidrologi. Info Hutan 5(2):141–150.

Putiksari, V, Dahlan, E. N., dan Prasetyo, L. B. 2014. Analisis perubahan penutupan lahan dan faktor sosial ekonomi penyebab deforestasi di Cagar Alam Kamojang. Media Konservasi 19(2):126–140.

Rujoiu-Mare, M.-R., and Mihai, B.-A. 2016. Mapping Land Cover Using Remote Sensing Data and GIS Techniques: A Case Study of Prahova Subcarpathians. Procedia Environmental Sciences, 32, 244–255. https://doi.org/10.1016/j.proenv.2016.03.029

Salim, E.H. 1998. Pengelolaan Tanah. Karya Tulis. Jurusan Ilmu Tanah Fakultas Pertanian Universitas Padjadjaran, Bandung.

Sahara, M. 2014. Kajian Kemiringan Lereng Dan Curah Hujan Terhadap Tingkat Kerawanan Longsor Di Kecamatan Pekuncen Kabupaten Banyumas. Skripsi. Fakultas Keguruan dan Ilmu Pendidikan, Program Studi Geografi. Universitas Muhammadiyah Purwokerto, Purwokerto

Scrieciu, S. S. 2006. Can economic causes of tropical deforestation be identified at a global level? Ecological Economics 62:603. https://doi.org/10.1016/j.ecolecon.2006.07.028.

Scott, J.C. 2009. The Art of Not Being Governed: An Anarchist History of Upland Southeast Asia. Yale University Press.

Scott, J.C. 1998. Seeing Like a State. How Certain Schemes to Improve the Human Condition Have Failed. Connecticut, USA: Yale University.

Soriaga, R., and Walpole, P. 2006. Forests and poverty reduction: opportunities in Asia-Pacific region. Paper Presented during the Asia-Pacific Forestry Commission Pre-Session Workshop, 15 April 2006. Dehradun, India: Asia Forest Network. http://www.asiaforestnetwork.org/pub/pub77.pdf.

Supratman, Sahide M.A.2010. Pembangunan Hutan Desa di Kabupaten Bantaeng: Konsep, Proses, dan Refleksi. RECOFTC, Makassar.

Townshend, J., and Justice, C. 1981. Information extraction from remotely sensed data. International Journal of Remote Sensing 2(4):313–329. https://dx.doi.org/10.1080/01431168108948367

Turner, B. L., Lambin, E. F., and Reenberg, A. 2007. The emergence ofland change science for global environmental change and sustainability. PNAS 105(128):20690–20695. https://doi.org/10.1073/pnas.0704119104

Soffianian, A., and Madanian, M. 2015. Monitoring land cover changes in Isfahan Province, Iran using Landsat satellite data. Environmental Monitoring and Assessment, 187(8). https://doi.org/10.1007/s10661-015-4442-5

Van Zuidam, R. A. 1983. Guide to Geomorphology Aerial Photographic Interpretation and Mapping. ITC, Enschede, The Netherlands.

Xing, H., Meng, Y., Hou, D., Song, J., and Xu, H. 2017. Employing crowdsourced geographic information to classify land cover with spatial clustering and topic model. Remote Sensing 9(602):1–20. https://doi.org/10.3390/rs9060602.

Yu, W., Zhou, W., Qian, Y., and Yan, J. 2016. A new approach for land cover classification and change analysis: Integrating backdating and an object-based method. Remote Sensing of Environment 177:37–47. https://doi.org/10.1016/j.rse.2016.02.030

Published
2022-06-30
How to Cite
Parera, E., Purwanto, R., Permadi, D., & Sumardi, S. (2022). Land Cover Based on Geophysical Characteristics in the Mount Sirimau Protection Forest Group, Ambon City, Maluku Province. JURNAL BUDIDAYA PERTANIAN, 18(1), 1-12. https://doi.org/10.30598/jbdp.2022.18.1.1