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A scientific research project into greenhouse gas emissions on tropical peatland landscapes has published its initial findings on methane (CH4) gas emissions in Riau province, Sumatra, Indonesia.

The study found that tropical peatlands are significant CH4 sources and likely have a greater impact on global atmospheric concentrations than previously thought, while also establishing new links between ground water levels and methane emissions across different land use types.

The research, among the first of its kind to assess CH4 emissions in tropical peatlands using the eddy covariance technique, is the result of a two-year intensive monitoring program of methane emissions across natural and plantation forests in Riau, Sumatra, carried out by a group of international scientists from Indonesia, the UK, Finland and the U.S. The full study can be viewed here.

The aim of the study, which was supported by APRIL Group, is to build on the current understanding of emission factors in tropical peatland landscapes and to enhance knowledge of the relationship between the management of tropical landscapes and greenhouse gas emissions.

Led by Dr. Chandra Deshmukh, Greenhouse Gas Monitoring Manager, APRIL Group, the peer reviewed study found that groundwater levels control variables in methane emissions, and that higher methane emissions from natural forest may be attributed to higher groundwater levels. As groundwater levels decline, methane emissions also decrease, according to the study.

The measurement of methane emissions was carried out using the eddy covariance technique, drawing on data from two 40-m and 48-m flux towers situated in plantation and natural forest areas. The flux towers provide high frequency measurements every 30 minutes, with each tower covering an area of more than 200 hectares.

The eddy covariance technique is designed to calculate the net exchange or the balance between the removals and emission of methane between ecosystems and the earth’s atmosphere. The results are then used to quantify the imbalance between the net methane exchanges between natural forest and Acacia crassicarpa plantations.

The publication of this study is the first part of a comprehensive series of research publications from APRIL’s peatland science research jointly with the Independent Peat Expert Working Group on greenhouse gas exchanges on tropical peatland landscapes that will also focus on carbon dioxide and nitrous oxide emissions.

Understanding methane emissions is an important aspect of the research project because it is one the most potent greenhouse gases and extremely efficient at trapping radiation and warming the atmosphere. A kilogram of CH4 warms the planet 84 times more than a kilogram of CO2 over a 20-year period after being released to the atmosphere*. Methane is produced from natural processes, such as decomposition in low-oxygen conditions as well as human activities such as farming and horticulture.

The new findings contribute to the understanding of methane emissions in tropical landscapes, filling an important research gap, according to Professor Fahmuddin Agus, co-author and member of the Indonesian Soil Research Institute: “Tropical peatlands are a known source of methane to the atmosphere, but their contribution to atmospheric methane is poorly understood.”

“This work fills critical knowledge gaps in our science on tropical peatland methane cycling. Our results show that tropical peatlands probably have a greater impact on global atmospheric methane concentrations than previously thought,” he said.

Professor Susan Page, of the University of Leicester, one of the co-authors of the study, said: “We found that the annual methane emissions from the natural forest were around twice as high as those of the acacia plantation.”

The results of the study are among the first eddy covariance methane exchange data reported for tropical peatland globally and should help to reduce the uncertainty in the estimation of CH4 emissions from important peatland ecosystems, according to Professor Chris Evans, of the UK Centre for Ecology and Hydrology.

“It will also help provide a more complete estimate of the impact of land-cover change on tropical peat, and to develop science-based peatland management practices that help to minimize greenhouse gas emissions.”

Dr. Deshmukh was supported by a team of international scientists, including: Prof. Page; Prof. Agus; Prof. Evans; Prof. Supiandi Sabiham, Bogor Agricultural University; Prof. Ari Lauren, University of Eastern Finland; Prof. Ankur Desai, University of Wisconsin-Madison; and Prof. Vincent Gauci, University of Birmingham.

The team also received essential support from a team of APRIL researchers, which included: Dr. Sofyan Kurnianto; Yogi Suardiwerianto; Dony Julius; Adibtya Asyhari; Ari Susanto; and Nardi.

*IPCC AR5, Chapter 8, Table 8.7
Myhre, G., D. Shindell, F.-M. Bréon, W. Collins, J. Fuglestvedt, J. Huang, D. Koch, J.-F. Lamarque, D. Lee, B. Mendoza, T. Nakajima, A. Robock, G. Stephens, T. Takemura and H. Zhang (2013) “Anthropogenic and Natural Radiative Forcing”. In: Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Stocker, T.F., D. Qin, G.-K. Plattner, M. Tignor, S.K. Allen, J. Boschung, A. Nauels, Y. Xia, V. Bex and P.M. Midgley (eds.). Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA

svg+xml;charset=utf — APRIL Asia
sustainable growth — APRIL Asia

Method

Waste disposed is recorded through various means of measurement including estimation of weight by waste type. Particular waste types as described above are measured as a wet waste and converted to a bone dry (BD) weight. The wet waste weight is multiplied by the consistency of each waste type to determine the BD. The consistency is predetermined by the lab.

Baseline
71kg/T

Performance 2022

On Track

sustainable growth — APRIL Asia

Method

The DPTW utilisation rate and % of textile waste per tonne of product will be based on R&D lab/pilot/demo procedures.

Baseline
0%

Performance 2022

In Development

sustainable growth — APRIL Asia

Method

Water consumption per tonne of product is calculated based on water consumed in the production of saleable pulp, paper, viscose staple fiber and viscose yarn measured by flow meters, via calculation and water balances divided by the production figures for saleable pulp, paper, viscose staple fibre and viscose yarn.

Baseline
28 m3/T

Performance 2022

Not Progressing

sustainable growth — APRIL Asia

Method

Soda content within the liquor cycle and losses are determined by means of mass balance based on daily lab analysis.

Lime volume in the lime kiln and losses are determined by means of lime make-up.

The recovery rate is calculated net of the percentage of make-up amounts added. The annual figure is based on the average monthly recovery rate.

Baseline
96%

Performance 2022

Not Progressing

inclusive progress — APRIL Asia

Method

Number of Mill and Nursery contractor calculated based on Man Power data which grouped by gender level calculated as a monthly average.

Baseline
2571

inclusive progress — APRIL Asia

Method

The number of own and supply partners employees is calculated based on year-end Man Power data which is grouped by gender. The identification of leadership position refer to employees’ grade D2 or Manager level and above.

Baseline
55 women employees in leadership positions

Performance 2022

Progressing

inclusive progress — APRIL Asia

Method

Women’s effective participation is identified from the participation list for each program. Percentage of female participation is calculated by the number of women participating divided by the total participants.

Baseline
34%

Performance 2022

Progressing

inclusive progress — APRIL Asia

Method

In development

Baseline
In development

Performance 2022

Progressing

inclusive progress — APRIL Asia

Method

In development

Baseline
In development

Performance 2022

Progressing

inclusive progress — APRIL Asia

Method

In development

Baseline
In development

Performance 2022

Progressing

inclusive progress — APRIL Asia

Method

We engaged third party to conduct assessment in APRIL-supported schools using the framework that was developed by Research Triangle Institute (RTI) and USAID.

Baseline
In development

Performance 2022

Progressing

inclusive progress — APRIL Asia

Method

Poverty mapping is identified through:

  1. Desktop analysis using National Statistics, Village Potential Statistics, SMERU Poverty Map.
  2. On-the-ground verification through FGD, village transect walk, interview with community.

Baseline
3%

Performance 2022

Progressing

thriving landscapes — APRIL Asia

Method

Peer-reviewed scientific journal publication standards

Baseline
1

Performance 2022

On Track

thriving landscapes — APRIL Asia

Method

Documentation of Participation (presentation of papers or posters) in national and international dialogues, workshops and conferences

Baseline
6

Performance 2022

On Track

thriving landscapes — APRIL Asia

Method

Number of scientists from universities and research institutions that have collaborated with APRIL on peatland management during the calendar year

Baseline
9

Performance 2022

On Track

thriving landscapes — APRIL Asia

Method

Wood deliveries (excluding open market supply) to the mill are used as a basis to calculate MAI (Tonnes/ Ha/Yr). The MAI is based on the 3 year area weighted rolling average growth for all closed compartments.

Baseline
20T/ha/yr

Performance 2022

On Track

thriving landscapes — APRIL Asia

Method

Methodology to be developed specific to animal species and does not include plants. Qualifying initiatives may vary widely in nature but must have the animal protection as the primary objective.

Partnerships will be developed and documented in line with an overarching strategy prioritizing stakeholders and threats specific to the country of Indonesia assessed.

Performance 2022

Progressing

thriving landscapes — APRIL Asia

Method

May include various initiatives relating to conservation of RTE species to be defined in a priority list, initiatives may be conducted solely or in collaboration with other stakeholders.

Baseline
2

thriving landscapes — APRIL Asia

Method

Methodology to be developed to measure change in ecosystem services and values over time (carbon sequestration, water provision, resource provision including fish and honey)

Baseline
not yet developed

thriving landscapes — APRIL Asia

Method

Reports for reforestation of previously encroached and degraded area including all areas where assisted natural regeneration, planting or enrichment planting of species that improve habitat value have taken place during the year but excludes natural regeneration.

Baseline
275 ha

Performance 2022

Progressing

thriving landscapes — APRIL Asia

Method

Area within conservation is derived from land bank which is based on land cover analysis and is updated annually to capture any boundary changes, land use changes or measurement data.

Baseline
0 ha Net loss

Performance 2022

Not Progressing

thriving landscapes — APRIL Asia

Method

Landscape conservation funding includes restoration and conservation costs associated with the RER as well as the allocation of a proportion of the costs related to APRIL’s maintenance of conservation values under its production-protection model. The allocation is based on proportionate amount of each cost that is related to conservation and restoration.

The wood volume is based on wood delivered to the Mill.

Baseline
USD$0.7 per tonne of plantation fiber

Performance 2022

On Track

climate positive 1 — APRIL Asia

Method

Mill

Calculate from the records of fuel types used the amount consumed in boilers to generate power, heat and steam including energy use for mobile & including transportation. Each of the fuel types are converted to energy expressed by Giga Joule Lower Heating Value (GJ LHV) following the IPCC guidelines.

Baseline: 87%

Performance 2022

On Track

Forest Operations

Calculate from the records of fuel types the quantity consumed by major categories of forest management activities by Fiber operations.

This covers energy used for Forest operations, infrastructure including wood transport from estate to mill; When a blend of fuel types is used (such as B20) the contribution to renewable and cleaner energy targets is calculated separately for each fuel rather than considering the blend as a cleaner fuel type.

Baseline: 19%

Performance 2022

Progressing

climate positive 1 — APRIL Asia

Method

APRIL follows the international GHG protocol as developed by WRI/WBCSD to develop its emissions profile. The total emissions measured as emissions intensity is calculated based on tonnes of Scope 1 and 2 Mill Greenhouse Gas Emissions per tonne of product (paper, pulp and viscose). The emissions boundary scope covers gate-to-gate (wood processing in wood yard until pulp, paper and viscose production) of the three main GHGs: CO2, CH4, and N2O.

Baseline
0.55 tCO2e/product tonne

Performance 2022

On Track

climate positive 1 — APRIL Asia

Method

To quantify the total GHG emission and removals across APRIL’s land bank from land use, APRIL follows the GHG Protocol Agricultural Guidance and IPCC Guidelines for Agricultural, Forestry, and Other Land Use. To detect the land cover change within the look-back period, i.e. 20 years APRIL utilized the remotely sensed data.

The GHG emission will be calculated as the total of carbon stock changes in woody biomass and soil organic carbon and include all major carbon fluxes such as peat decomposition, plantation growth and harvesting, and fires.

To quantify the amount of carbon unit to balance the emission, the Verified Carbon Standard (VCS), the Climate, Community and Biodiversity Standards (CCB), or other internationally accepted standard will be used.

Performance 2022

Progressing

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