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Written by Dr Chandra S. Deshmukh, Greenhouse Gas Specialist, APRIL Peatland Science

Tropical peatlands, found in Southeast Asia and other tropical regions around the world, are unique landscapes whose protection and responsible management are crucial in combating climate change. Peatlands are susceptible to a natural process called subsidence, where the peat soil sinks as it compacts over time. This phenomenon is a result of the slow decomposition of organic material and the effects of gravity, leading to a gradual compression. While subsidence is a natural part of a functioning peatland ecosystem, it has become a growing concern due to the influence of human activities. Understanding the long-term trajectory and temporal dynamics of tropical peat subsidence can help guide the development of sustainable land use practices and mitigate environmental impacts.

new research into temporal dynamics of ttropical peat subsidence published — APRIL Asia

A new study on subsidence on tropical peatlands published in the journal Geoderma in December 2022 sheds light on the long-term trajectory and temporal dynamics of tropical peat subsidence in relation to plantation management practices, particularly in large-scale plantations. The study was conducted by a team of scientists from Indonesia, the United Kingdom and Finland, and was led by Professor Chris Evans of the UK’s Centre for Ecology and Hydrology. This recent research, builds on an earlier study published in March 20192, and is based on one of the largest and longest-running subsidence monitoring datasets available for tropical peatlands worldwide.

The study aims to improve the understanding of the long-term subsidence rates and the effect of extreme climate events on overall subsidence rates in Acacia plantations and native forest landscapes. The authors analysed peat subsidence measurements from over 400 Acacia plantations and adjacent peat swamp forest plots, including a unique set of 62 sites which have been monitored since 2007 in Sumatra, Indonesia.

The results show that subsidence rates decrease over time, consistent with high-latitude peatlands3 and recent studies on tropical peatlands4,5. Subsidence rates decreased from 4.89 cm yr1 in 2007 to 3.74 cm yr1 in 2018 in the Acacia plantations. The decreasing subsidence rates over time suggest that the sustained constant subsidence rates6 may overestimate the long-term trajectory of peat subsidence and, thus, the associated susceptibility to flooding.

The measurements did not show a clear influence of distance from the nearest canal in the plantation on subsidence rates in the forest, consistent with previous findings2. They also do not show clear evidence of plantation impacts on groundwater level or subsidence beyond around 300 m from the nearest forest/plantation boundary.

The study also highlights the influence of climate change on peat subsidence. The subsidence rates increased substantially due to an extreme drought caused by a positive Indian Ocean Dipole phase combined with El Niño in 2015–16, resulting in deeper groundwater level. This raises the possibility that repeated extreme droughts in the region could lead to long-term degradation of peat swamp forest ecosystem7,8.

Given the low-lying nature of Southeast Asian peat landscapes, the magnitude of future subsidence rates will determine the susceptibility to flooding and economic sustainability of managed peatland landscapes. Resolving uncertainties in future subsidence rates for these economically important but vulnerable, carbon rich ecosystems requires continued and expanded subsidence monitoring, and a reliable understanding of the interacting effects of plantation management and intense and frequent extreme climate events on peatland function.

 

References:

  1. Erkens, G., van der Meulen, M.J. & Middelkoop, H. Double trouble: subsidence and CO2 respiration due to 1,000 years of Dutch coastal peatlands cultivation. Hydrogeol J 24, 551–568 (2016).
  2. Evans, C. D. et al. Rates and spatial variability of peat subsidence in Acacia plantation andforest landscapes in Sumatra, Indonesia. Geoderma 338, 410–421 (2019).
  3. Hutchinson, J.N. Record of peat wastage in the East-Anglian fenlands at Holme Post. Ecol 68, 229–249 (1980)
  4. Hoyt, A. M., Chaussard, E., Seppalainen, S. S. & Harvey, C. F. Widespread subsidence and carbon emissions across Southeast Asian peatlands. Geosci. 13, 435–440 (2020).
  5. Umarhadi, D. A. et al. Tropical peat subsidence rates are related to decadal LULC changes: insights from InSAR analysis. Total Environ. 816, 151561 (2022).
  6. Hooijer, A. et al. Subsidence and carbon loss in drained tropical peatlands. Biogeosciences 9, 1053–1071 (2012).
  7. Garcin, Y. et al. Hydroclimatic vulnerability of peat carbon in the central Congo Basin. Nature 612, 277–282 (2022).
  8. Dadap, N. C. et al. Climate change-induced peatland drying in Southeast Asia. Res. Lett. 17, 074026 (2022).
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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