Mapping Above-Ground Carbon Stock of Secondary Peat Swamp Forest Using Forest Canopy Density Model Landsat 8 OLI-TIRS: A Case Study in Central Kalimantan Indonesia 10.32526/ennrj/19/2020209

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Raden Mas Sukarna
Cakra Birawa
Ajun Junaedi

Abstract

Mapping the above-ground carbon potential by using a non-destructive method has been a serious challenge for researchers in the effort to improve the performance of natural forest management in Indonesia, particularly in the ex-Mega Rice Project (MRP) area in Central Kalimantan Province. Nevertheless, the rapid and dynamic changes in secondary peat swamp forests are currently mapped effectively with the remote sensing technology using the Forest Canopy Density (FCD) model. FCD analysis as done by integrating vegetation index, soil index, temperature index and shadow index of Landsat 8 OLI images. The result was an FCD class map. In each class, parameter measurements were established for seedling, sapling, poles and tree stages. Above-ground carbon stock was calculated using three allometric equations. The results revealed that the values of carbon stock in ±16,147.26 ha dense secondary peat swamp forest, ±1,509.66 ha moderately dense scrub swamp forest, and ±632.07 ha sparse scrub swamp forest were, respectively, 79.28-122.96; 74.06-113.06; and 40.48-63.60 ton/ha. These results show that FCD application could be used to classify forest density effectively and in line with the variety of their attributes such us aboveground biomass and carbon stock potential.

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How to Cite
Sukarna, R. M., Birawa, C., & Junaedi, A. (2021). Mapping Above-Ground Carbon Stock of Secondary Peat Swamp Forest Using Forest Canopy Density Model Landsat 8 OLI-TIRS: A Case Study in Central Kalimantan Indonesia: 10.32526/ennrj/19/2020209. Environment and Natural Resources Journal, 19(2), 165–175. Retrieved from https://ph02.tci-thaijo.org/index.php/ennrj/article/view/241847
Section
Original Research Articles
Author Biography

Cakra Birawa, Forestry Department, Faculty of Agriculture, University of Palangka Raya, Kampus UPR Tunjung Nyaho, Yos Sudarso Sreet, Kotak Pos 2/PLKUP 73111, Palangka Raya, Central Kalimantan, Indonesia

Forestry Department

References

Ballhorn U, Mott C, Siegert F. Peat Dome Mapping and Analysis. Palembang, Indonesia: South Sumatera Forest Fire Management Project; 2007.

Banerjee K, Panda S, Bandyopadhyay J, Jain MK. Forest canopy density mapping using advance geospatial technique. International Journal of Innovative Science, Engineering and Technology 2014;1(7):58-63.

Boehm HDV, Siegert F, Liews SC. Remote sensing and aerial survey of vegetation cover change in lowland peat swamp of Central Kalimantan during the 1997 and 2002 fires. Proceeding of the International Symposium on Land Management and Biodiversity in Southeast Asia; 2002 Sep 17-20; The Indonesia Institute of Sciences, Bogor: Indonesia; 2002.

Boehm HDV, Siegert F. The impact of logging on land use change in Central Kalimantan, Indonesia. International Peat Journal 2004;1(12):3-10.

Brown S. Estimating biomass and biomass change of tropical forest: A primer. Rome, Italy: FAO Forestry Paper; 1997. p. 134.

Chairul C, Muchktar E, Mansyurdin, Tesri M, Indra G. Structure of vegetation density and estimation of carbon sequestration in several forest conditions on Siberut Island, West Sumatra. Journal of Metamorfosa 2016;3(1):15-22.

Deka J, Tripathi OK, Khan ML. Implementation of forest canopy density model to monitor tropical deforestation. Journal of the Indian Society of Remote Sensing 2012;41(2):469-75.

Dharmawan IWS, Siregar CA. Soil carbon and stands carbon estimation of Avicennia marina (Forsk.) Vierh in Ciasem, Purwakarta. Journal of Forest Research and Nature Conservation 2008;5(4):317-28.

Fahmi A, Radjagukguk B. The role of peat on total of soil nitrogen in swamp land, biology news, Indonesian Institute of Sciences. Journal of Life Sciences 2013;12(2):223-30.

Heriyanto MN, Priatna D, Samsoedin I. Stands structure and carbon sequestration in the secondary forest of Muara Merang forest group, South Sumatra. Journal of Sylva Lestari 2020;8(2):30-40.

Jaya A, Siregar UJ, Daryono H, Suhartana S. Tropical peat swamp forest biomass under various land cover conditions. Journal of Forest Research and Nature Conservation 2007;4(4):41-52.

Junaedi A. Impact of Timber Harvesting and Silvicultural Treatment of Selective Cutting and Line Planting (TPTJ) on Carbon Sequestraton Potential in Tropical Natural Forest Vegetation (Case study in the IUPHHK Area of PT. Sari Bumi Kusuma, Central Kalimantan) [dissertation]. Bogor, Bogor Agricultural Institute; 2007.

Ludang Y, Jaya HP. Biomass and carbon content in tropical forest of Central Kalimatan. Journal of Applied Science in Environmental Sanitation 2007;2(1):7-12.

Ketterings QM, Coe R, Van Noordjwik M, Ambagau Y, Palm CA. Reducing uncertainty in the use of allometric biomass equations for predicting above-ground tree biomass in mixed secondary forests. Forest Ecology and Management 2001;146(1-3):199-209.

Kusmana C, Sabiham S, Abe K, Watanabe H. An estimation of above ground tree biomass of a mangrove forest in East Sumatera. Tropics 1992;1(4):243-57.

Laurance WF, Fearnside PM, Laurance SGW, Delamonica P, Lovejoy TE, Rankin-de Merona JM, et al. Relationship between soils and Amazon forest biomass: A landscape-scale study. Forest Ecology and Management 1999;118(1-3):127-38.

Moder F, Siegert F, Schlessinger P. Carbon stock estimation in peat swamp forest area of Merang-Kepayang. Palembang, Indonesia: South Sumatera Forest Fire Management Project; 2008.

Mon MS, Mizoue N, Htun NZ, Kajisa T, Yoshida S. Estimating forest canopy density of tropical mixed deciduous vegetation using landsat data: A comparison of three classification approaches. International Journal of Remote Sensing 2012;33(4):1042-57.

Moore TR, Bubier JL, Frolking SE, Lafleur PM, Roulet NT. Plant biomass and CO2 exchange in an ombrotrophic bog. Journal of Ecology 2002;90(1):25-36.

Murdiyarso D, Rosalina U, Hairiah K, Muslihat L, Suryadiputra INN, Jaya A. Measuring carbon stock in peat soils: Practical guidelines. Bogor, Indonesia: Proyek Climate Change, Forest and Peatlands in Indonesia, Wetlands International-Indonesia Program and Wildlife Habitat; 2004.

Page SE, Hosciło A, Wosten H, Jauhiainen J, Silvius M, Rieley JO, et al. Restoration ecology of lowland tropical peatlands in Southeast Asia: Current knowledge and future research directions. Ecosystems 2009;12:888-905.

Perdhana RF. The Effect of Timber Harvesting with the Indonesian Selective Cutting on the Carbon Potential in Peat Forest Vegetation (Case study in Rokan Hilir Regency Riau Indonesia) [dissertation]. Bogor, Indonesia: Bogor Agricultural Institute; 2009.

Rachmawati D, Setyobudiandi I, Hilmi E. The estimated carbon stock potential in mangrove vegetation in the coastal area of Muara Gembong, Bekasi Regency. Journal Omni-Akuatika 2014;10(2):85-91.

Rahayu S, Lusiana B, van Noordwijk M. Estimating Above-ground Carbon Stocks in Various Land Use Systems in Nunukan Regency, East Kalimantan. Bogor, Indonesia: World Agroforestry Centre; 2007.

Rehman SAR, Sabiham S, Sudadi U, Anwar S. Impacts of oil palm plantations on climate change: A review of peat swamp forests’ conversion in Indonesia. International Journal of Plant and Soil Science 2015;4(1):1-17.

Rikimaru A. Landsat TM data processing guide for forest canopy density mapping and monitoring model. Proceedings of the ITTO Workshop on Utilization of Remote Sensing in Site Assessment and Planting of Logged-over Forest; 1996 Jul 30-Aug 1; Bangkok: Thailand; 1996.

Rikimaru A. Development of forest canopy density mapping and monitoring model using indices of vegetation, bare soil and shadow. Proceeding of the 18th Asian Conference on Remote Sensing; 1997 Oct 20; Kuala Lumpur: Malaysia; 1997.

Rosalina Y, Kartawinata K, Nisyawati N, Nurdin E, Supriatna J. The carbon sequestration in the peat swamp forest in the conservation area of PT. National Sago Prima, Meranti Islands, Riau. Buletin Kebun Raya 2013;16(2):115-30.

Roy PS, Rikimaru A, Miyatake S. Biophysical spectral response modeling approach for forest density stratification. Proceeding of the 18th Asian Conference on Remote Sensing; 1997 Oct 20; Kuala Lumpur: Malaysia; 1997.

Sukarna RM. Spectral Study of Landsat 7 ETM+ for a Floristic Model of Peat Swamp Forest in Central Kalimantan [dissertation]. Yogyakarta, Indonesia: Gadjah Mada University; 2009.

Sukarna RM, Syahid Y. FCD application of landsat for monitoring mangrove in Central Kalimantan. Indonesian Journal of Geography 2015;47(2):160-70.

Suwarna U, Elias, Darusman D, Istomo. Estimating total carbon stock in soil and tropical peat forest vegetation in Indonesia. Journal of Tropical Management 2012;18(2):118-28.

Vetrita Y, Hirano T. Evaluation of fashionable gross primary production products in Indonesia's peat swamp forests. Journal of Remote Sensing 2012;9(2):114-25.

Wannasiri W, Nagai M, Honda K, Santitamnont P, Miphokasap P. Extraction of mangrove biophysical parameters using airborne LiDAR. Remote Sensing 2013;5(4):1787-808.

Wardoyo. The Forest Condition, The Role of Remote Sensing and GIS in the Forestry Sector. Indonesia: Forest Area Consolidation of Regional V Banjarbaru, Central and South Kalimantan; 2002.

Widyasari NAK, Saharjo BH, Solichin S, Istomo. Estimation of aboveground biomass and bonded carbon potential in burned peat swamp forests in South Sumatra; Indonesian. Journal of Agricultural Sciences 2010;15(1):41-9.

Yuwono T, Jaya SNI, Elias. Peat swamp forest carbon mass estimation model ALOS PALSAR image. Journal of Forest Research and Nature Conservation 2015;12(1):45-58