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Mangrove emission factors: Navigating chapter 4 - coastal wetlands

Center for International Forestry Research (CIFOR)
May. 4, 2020
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Mangrove emission factors: Navigating chapter 4 - coastal wetlands

  1. Session 3 Mangrove emission factors: Navigating Chapter 4 – Coastal Wetlands Daniel Murdiyarso and Sigit Sasmito 14 April 2020
  2. Background • Need of guidance on estimating and reporting anthropogenic GHG emissions and removals from managed coastal wetlands. • Coastal wetlands (tidal freshwater and salt marshes, seagrass meadows, and mangroves) hold large reservoirs of carbon (C) in biomass and especially soil • Significant global stocks: o mangroves, ~8 Pg C (Donato et al., 2011), o tidal marshes, ~0.8 Pg C (Pendleton et al., 2012), and o seagrass meadows, 4.2 – 8.4 Pg C (Fourqurean et al., 2012) • Indonesia has significant amount of mangroves (23% world mangrove) with stocks of ~3.14 PgC (Murdiyarso et al. 2015)
  3. Scope of Chapter 4 • Not to replace 2006 PCC Guideline • Updates guidance contained in the 2006 IPCC Guidelines to provide default data for estimation of carbon stock changes in mangrove living biomass and dead wood pools for coastal wetlands at Tier 1. • Gives new: o guidance for CO2 emissions and removals from organic and mineral soils for the management activities of extraction (including construction of aquaculture and salt production ponds), drainage and rewetting, revegetation and creation; o default data for estimation of anthropogenic CO2 emissions and removals for soils in mangrove, tidal marsh and seagrass meadows; o guidance for N2O emissions during aquaculture use; o guidance for CH4 emissions for rewetting, revegetation and creation of mangroves, tidal marshes and seagrass meadows.
  4. Purposes of this session • Familiarize the structure of 2013 IPCC Wetlands Supplement, especially Chapter 4 • Understand the links with 2006 IPCC Guidelines, especially on mangroves and the assumptions used • Discuss Tier 1 methods (parameters and factors) as default values and possibility of using Tier 2 • Explore the use of the Wetlands Supplement (Chapter 4) for FREL 2020
  5. Including mangroves: is good practice to report mangroves in the appropriate national land-use category according to the national forest definition Source: IPCC (2014) Salt production/ Aquculture
  6. Specific management activities in mangroves Activity Sub activity Activities relevant to CO2 emissions and removals Forest management practices in mangroves* Planting, thinning, harvest, wood removal, fuelwood removal, charcoal production* Extraction Excavation to enable port, harbour and marina construction and filling or dredging to facilitate raising the elevation of land Drainage Agriculture, forestry, mosquito control Rewetting, revegetation and creation Conversion from drained to saturated soils by restoring hydrology and reestablishment of vegetation Activities relevant to non-CO2 emissions Aquaculture (use) N2O emissions from aquaculture use Rewetted soils CH4 emissions from change to natural vegetation following modifications to restore hydrology *) including conversion to Forest Land or conversion from Forest Land to other land uses.
  7. Carbon pools – Tier 1 (t d.m. ha-1) Aboveground Biomass Dead organic matter Soil carbon Belowground Biomass 2 3 4 Organic: 471 (216-935) Mineral: 286 (55-1376) (Table 4.11) Litter: 0.7 (0-1.3) Dead wood: 10.7 (6.5-14.8) (Table 4.7) Tropical Wet 0.49 (0.04-1.1) Tropical Dry 0.29 (0.09-0.79) Root/shoot ratio, R (Table 4.5) Tropical Wet 192 (8.7-384) Tropical Dry 92 (3.2-201) (Table 4.3) 1
  8. Assumptions – Tier 1 • Forest management, soil carbon stock does not change • Extraction, after construction pond/excavated soils, soil carbon stock is zero • Soil carbon stock is limited up to 1 meter • All estimates are “initial change” Salt production/ Aquculture
  9. 0.71
  10. Tier 1: All pools emissions/removals - Ext Eqn.4.4 Eqn.4.5 Eqn.4.6 Eqn.4.4 Eqn.4.5 Eqn.4.6 Eqn.4.4 Eqn.4.5 Eqn.4.6
  11. Tier 1: All pools emissions/removals - Exc Eqn.4.4 Eqn. 4.5 Eqn. 4.6
  12. Tier 1: Biomass emissions/removals - Ext 0.450.49 192
  13. Tier 1: DOM emissions/removals - Ext 0 10.7+0.7
  14. Tier 1: Soil emissions/removals - Ext 0 471
  15. Higher Tiers: for Stock-Different methods Tier 2 National data could include country specific values of any parameter used in the Tier 1 method or values that permit biomass carbon stock changes using the Stock-Difference method. Refer also to the relevant sections of Volume 4 of the 2006 IPCC Guidelines for further guidance. Tier 3 Tier 3 methods may employ the use of data that are of higher order spatial disaggregation and that depend on variation in salinity or further disaggregation of regional differences within a country. Forest growth rates of specific age ranges could be applied. Refer also to the relevant sections of Volume 4 of the 2006 IPCC Guidelines for further guidance.
  16. Aboveground Biomass Dead organic matter Soil carbon Belowground Biomass 2 3 4 1 TECS Towards Tier 2
  17. Survey on Indonesian mangroves Area: 2.9 Mha (FAO, 2005) 3.2 Mha (MoEF, 2014) TECS: 3.14 Pg C (Murdiyarso et al., 2015; Alongi et al., 2016)
  18. Towards Tier 2 – protected mangroves Number/ Site Province Tree carbon stocks (Mg ha-1) Root carbon stocks (Mg ha-1) Woody debris carbon stocks (Mg ha-1) Soil carbon stocks (Mg ha-1) Total ecosyste m carbon stocks (Mg ha-1) Sample depth (m) No. of plot/ sub plot Reference 1 Jaring Halus North Sumatra 92.3 30.1 13.0 127.5 262.3 3 5/30 Ginting et al. 2020 2 Sembilang Jambi, Sumatra 300.5 27.9 11.3 979.5 1319.2 3 6/36 Murdiyarso et al. 2015 3 Kubu Raya West Kalimantan 134.8 14.3 24.2 620.9 794.2 3 7/42 4 Tanjung Putting Central Kalimantan 140.9 21.3 18.6 1059.2 1240.0 3 5/30 5 Bunaken North Sulawesi 69.2 14.9 42.7 811.6 938.4 3 6/36 6 Bintuni West Papua 323.6 43.6 14.8 1014.8 1396.8 3 5/30 7 Teminabuan 196.3 36.7 17.5 660.5 911.0 3 4/24 8 Buruway 108 21 13 610.8 732.0 3 7/41 Sasmito et al. 20209 Arguni Bay 52 13 - 1636.8 1688.6 1.7 8/45 10 Timika Papua 255.1 27.2 27.9 965.1 1275.3 3 4/24 Murdiyarso et al. 2015
  19. Towards Tier 2 – degraded mangroves Site Province Tree carbon stocks (Mg ha-1) Root carbon stocks (Mg ha-1) Woody debris carbon stocks (Mg ha-1) Soil carbon stocks (Mg ha-1) Total ecosystem carbon stocks (Mg ha-1) Sample depth (m) No. of plot/ sub plot Reference 11 Percut North Sumatra 39.9 6.7 7.4 139.2 193.1 3 3/18 Murdiyarso et al. 2018 12 Belawan 79.4 29.4 4.4 236.3 349.4 3 3/18 13 Margasari Lampung 45.3 na na na na na 3 Sasmito et al. 2014 14 Cilacap Central Java 6.9 2.5 11.8 571.6 592.8 3 2/12 Murdiyarso et al. 2015 15 Demak Central Java 44.93 21.86 6.51 64.32 137.10 2 9/48 Ardhani et al. 2020 16 Lamongan East Java na na na na 261.8 0.3 4 Arif et al. 2017 17 Mahakam Delta East Kalimantan 9.8 5.0 18.6 515.0 548.3 3 3/20 Arifanti et al. 2019 18 Perancak Bali 54.4 21.2 NA NA NA NA 3 Sidik et al. 2019
  20. Tier 1: CO2 emissions from rewetting -1.62 t C/ha/yr
  21. Tier 1: CO2 emissions from drainage 7.9 t C/ha/yr
  22. Tier 1: CH4 emissions from rewetting 193.7 kg CH4 ha/yr
  23. Tier 1: N2O emissions from aquaculture 0.00169 kg N2O-N per kg fish produced
  24. References Ardhani, T.S.P. (2020). Mangrove vegetation structures and ecosystem carbon stocks across different coastal typologies in Demak Regency, Central Java. (Master Thesis), Bogor: IPB University. Arif, A.M., Guntur, G., Ricky, A.B., Novianti, P., & Andik, I. (2017). Mangrove ecosystem C-stocks of Lamongan, Indonesia and its correlation with forest age. Research Journal of Chemistry and Environment, 21(8). Arifanti, V.B. (2017). Carbon Dynamics Associated with Land Cover Change in Tropical Mangrove Ecosystems of the Mahakam Delta, East Kalimantan, Indonesia. (Ph.D. dissertation). Corvallis, Oregon, USA: Oregon State University. Arifanti, V. B., Kauffman, J. B., Hadriyanto, D., Murdiyarso, D., & Diana, R. (2019). Carbon dynamics and land use carbon footprints in mangrove-converted aquaculture : The case of the Mahakam Delta, Indonesia. Forest Ecology and Management, 432, 17–29. http://doi.org/10.1016/j.foreco.2018.08.047 Donato, D.C., Kauffman, J.B., Murdiyarso, D., Kurnianto, S., Stidham, M., Kanninen, M. (2011). Mangroves among the most carbon-rich forests in the tropics. Nature Geoscience, 4(5), 293–297. https://doi.org/10.1038/ngeo1123. FAO (2007). The world’s mangroves 1980–2005. FAO Forestry Paper. Rome, Italy: FAO. Ginting, Y. R. S. (2018). Mangrove distribution, sedimentation, and soil carbon accumulation in North Sumatra, Indonesia. (Master Thesis). Bogor, Indonesia: IPB University. Giri, C., Ochieng, E., Tieszen, L.L., Zhu, Z., Singh, A., Loveland, T., Masek , J., & Duke, N. (2011). Status and distribution of mangrove forests of the world using earth observation satellite data. Global Ecology and Biogeography, 20, 154–159. [IPCC]. (2014). 2013 Supplement to the 2006 IPCC Guidelines for National Greenhouse Gas Inventories: Wetlands. Hiraishi, T., Krug, T., Tanabe, K., Srivastava, N., Baasansuren, J., Fukuda, M. and Troxler, T.G. (eds). IPCC, Switzerland. Murdiyarso, D., Purbopuspito, J., Kauffman, J. B., Warren, M. W, Sasmito, S. D., Donato, D. C.,et al. (2015). The potential of Indonesian mangrove forests for global change mitigation. Nature Climate Change, 5 (12), 1089-1092. DOI: 10.1038/NCLIMATE 2734. Sasmito, S. D., Sillanpää, M., Hayes, M. A., Bachri, S., Saragi-Sasmito, M. F., Sidik, F., et al. 2020b. Mangrove blue carbon stocks and dynamics are controlled by hydrogeomorphic settings and land-use changes. Global Change Biology. https://doi.org/10.1111/gcb.15056 Sidik, F., Adame, M. F., & Lovelock, C. E. (2019). Carbon sequestration and fluxes of restored mangroves in abandoned aquaculture ponds. Journal of the Indian Ocean Region, http://doi.org/10.1080/19480881.2019.1605659 Sidik, F., Neil, D., & Lovelock, C. E. (2016). Effect of high sedimentation rates on surface sediment dynamics and mangrove growth in the Porong River, Indonesia. Marine Pollution Bulletin, 107, 355–363. http://doi.org/10.1016/j.marpolbul.2016.02.048
  25. Acknowledgements The capacity building materials were made possible through a grant given by the Norway’s International Climate and Forest Initiative (NICFI) to the Center for International Forestry Research (CIFOR) under the Agreement No. INS 2070-19/0010. While CIFOR gratefully acknowledges the support, the information provided in the materials do not represent the views or positions of the Norwegian Government. CIFOR would like to recognize the support by the United States Agency for International Development (USAID) in generating some of information used in the materials.
  26. Thank you
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