Article Sidebar

Submitted
May 31, 2023
Accepted
June 20, 2023
Published
June 25, 2023
Download
PDF
Statistic
Read Counter : 24 Download : 20

Main Article Content

Abstract

Calculation of standing biomass is usually carried out using linear and non-linear regression equation models based on the type of plant or tree resulting from field measurements. The aim of this study was to estimate the estimation of biomass and carbon based on the slope of the secondary forest in the KHDTK educational forest of Mulawarman University. Mulawarman University Educational Forest. Data collection to calculate biomass and carbon stocks obtained by direct measurements in the field and utilizing the Geographic Information System. The results of the highest biomass estimation at the sapling level are on a slope of 25-45% with an average value of 12.599 tons/ha; at the pile level with a slope of 25-45% the average value is 28.412 tons/ha; at the tree level with a slope of 8-15% the average value is 155.024 tons/ha; and in a litter with a slope of 25-45% the average value is 38.12 tons/ha. The greatest potential carbon yield is at the sapling level with a slope of 25-45% with an average value of 6.300 tons/ha; at the pile level with a slope of 25-45% the average value is 14.206 tons/ha; at the tree level with a slope of 8-15% the average value is 77.512 tons/ha; and in litter with a slope of 25-45% the average value is 17.86 tons/ha.

Keywords

Biomass, Carbon, Mapping, Geographic Information Systems, Slope

Article Details

How to Cite
Kardika, A. J., Istanto, J., Sufiana , K. ., Murniyati , A., Kamarati , K. F. A. ., & Rudito. (2023). Utilizing Geographic Information Systems to Estimate Biomass and Carbon Based on Slope in Secondary Dryland Forests in the Forest Area of Mulawarman University. TEPIAN, 4(2), 89–98. https://doi.org/10.51967/tepian.v4i2.2542
Download Citation
Endnote/Zotero/Mendeley (RIS)
BibTeX

References

  1. Albers, A., Collet, P., Benoist, A., & Hélias, A. (2019). Data and non-linear models for the estimation of biomass growth and carbon fixation in managed forests. Data in brief, 23, 103841.
  2. Al-Reza, D. D., Hermawan, R. A. C. H. M. A. D., & Prasetyo, L. B. (2017). Potensi cadangan karbon di atas permukaan tanah di Taman Hutan Raya Pancoran Mas Depok. Media Konservasi, 22(1), 71-78.
  3. Basuki, T. M., Van Laake, P. E., Skidmore, A. K., & Hussin, Y. A. (2009). Allometric equations for estimating the above-ground biomass in tropical lowland Dipterocarp forests. Forest ecology and management, 257(8), 1684-1694.
  4. Boucher, D., Elias, P., Lininger, K., May-Tobin, C., Roquemore, S., & Saxon, E. (2011). The root of the problem: what's driving tropical deforestation today?. The root of the problem: what's driving tropical deforestation today?.
  5. Brown, S. (1997). Estimating biomass and biomass change of tropical forests: a primer (Vol. 134). Food & Agriculture Org.
  6. Drupadi, T. A., Ariyanto, D. P., & Sudadi, S. (2021). Pendugaan Kadar Biomassa dan Karbon Tersimpan pada Berbagai Kemiringan dan Tutupan Lahan di KHDTK Gunung Bromo UNS. Agrikultura, 32(2), 112-119.
  7. Hidup, K. L. (2020). Kehutanan; Direktorat Jenderal Pengendalian Perubahan Iklim; Direktorat Inventarisasi GRK dan Monitoring, Pelaporan, Verifikasi.(2021). Laporan Inventarisasi Gas Rumah Kaca (GRK) dan Monitoring, Pelaporan, Verifikasi (MPV) Nasional Tahun.
  8. Hairiah, K., & Rahayu, S. (2007). Pengukuran karbon tersimpan di berbagai penggunaan lahan. Bogor: World Agroforestry Center-ICRAF.
  9. Hairiah, K., Ekadinata A., Sari R., dan Rahayu S (2011). Petunjuk Praktis Pengukuran Cadangan Karbon dari Tingkat Lahan ke Bentang Lahan Edisi Ke 2. World Agroforestry Center-ICRAF. Bogor.
  10. Islam, M. R., Azad, M. S., Mollick, A. S., Kamruzzaman, M., & Khan, M. N. I. (2021). Allometric equations for estimating stem biomass of Artocarpus chaplasha Roxb. in Sylhet hill forest of Bangladesh. Trees, Forests and People, 4, 100084.
  11. Kamara, M., & Said, S. M. (2022). Estimation of aboveground biomass, stand density, and biomass growth per year in the past using stand reconstruction technique in black spruce and Scotch pine in boreal forest. Polar Science, 33, 100787.
  12. Kardika, A. J., Sufiana, K., Rahman, A., & Aziza, H. (2021). Arahan Perubahan Penggunaan Lahan Berbasis Rendah Emisi Karbon Di Hulu Das Jeneberang: The Direction of Land Use Change Based Low Carbon Emission on Jeneberang Upper Watershed. HUTAN TROPIKA, 16(2), 147-157.
  13. Kauffman, J. B., & Donato, D. C. (2012). Protocols for the measurement, monitoring and reporting of structure, biomass and carbon stocks in mangrove forests (Vol. 86). Bogor, Indonesia: Cifor.
  14. Ketterings, Q. M., Coe, R., van Noordwijk, M., & Palm, C. A. (2001). Reducing uncertainty in the use of allometric biomass equations for predicting above-ground tree biomass in mixed secondary forests. Forest Ecology and management, 146(1-3), 199-209.
  15. Khairani, K. I. (2019). Pengaruh Lereng terhadap Karakteristik Tanah, Pertumbuhan dan Kadar Hara Daun Tanaman Jati (Tectona grandis Lf) di Sukamakmur, Kabupaten Bogor.
  16. Kumar, B. M., & Nair, P. R. (Eds.). (2011). Carbon sequestration potential of agroforestry systems: opportunities and challenges.
  17. Menteri Pertanian. Surat Keputusan Menteri Pertanian Nomor: 837/Kpts/Um/11/1980 Tentang Kriteria Dan Tata Cara Penetapan Hutan Lindung. Kementerian Pertanian. Jakarta.
  18. Mukuralinda, A., Kuyah, S., Ruzibiza, M., Ndoli, A., Nabahungu, N. L., & Muthuri, C. (2021). Allometric equations, wood density and partitioning of aboveground biomass in the arboretum of Ruhande, Rwanda. Trees, Forests and People, 3, 100050.
  19. Sumargo, W., Nanggara, S. G., Nainggolan, F. A., & Apriani, I. (2011). Potret keadaan hutan Indonesia. Forest Watch Indonesia.
  20. Suryanto, S., & Wawan, W. (2017). Pengaruh kemiringan lahan dan Mucuna bracteata terhadap aliran permukaan dan erosi di PT Perkebunan Nusantara V Kebun Lubuk Dalam. Jurnal Online Mahasiswa (JOM) Bidang Pertanian, 4(1), 1-15.
  21. Standar Nasional Indonesia (SNI) 7724:2011 (2011). Pengukuran dan penghitungan cadangan karbon | pengukuran lapangan untuk penaksiran cadangan karbon hutan (ground based forest carbon accounting). ICS 65.020. Jakarta (ID):Badan Standardisasi Nasional.
  22. Syah, R. F. (2017). Analisa kebijakan sektor lingkungan: Permasalahan implementasi kebijakan pengelolaan kawasan hutan di Indonesia. Journal of Governance, 2(1), 2-17.
  23. Trautenmüller, J. W., Netto, S. P., Balbinot, R., Watzlawick, L. F., Dalla Corte, A. P., Sanquetta, C. R., & Behling, A. (2021). Regression estimators for aboveground biomass and its constituent parts of trees in native southern Brazilian forests. Ecological Indicators, 130, 108025.
  24. Tiryana, T. (2005). Pengembangan metode penggunaan sebaran potensi biomassa dan karbon pada hutan tanaman mangium (Acacia mangium Willd.). Fakultas Kehutanan Institut Pertanian Bogor.