| Literature DB >> 35243734 |
Benjamin W J Freeman1, Chris D Evans2, Samuel Musarika2, Ross Morrison3, Thomas R Newman4, Susan E Page4, Giles F S Wiggs5, Nicholle G A Bell6, David Styles7, Yuan Wen1,8, David R Chadwick1, Davey L Jones1,9.
Abstract
Drained, lowland agricultural peatlands are greenhouse gas (GHG) emission hotspots and a large but vulnerable store of irrecoverable carbon. They exhibit soil loss rates of ~2.0 cm yr-1 and are estimated to account for 32% of global cropland emissions while producing only 1.1% of crop kilocalories. Carbon dioxide emissions account for >80% of their terrestrial GHG emissions and are largely controlled by water table depth. Reducing drainage depths is, therefore, essential for responsible peatland management. Peatland restoration can substantially reduce emissions. However, this may conflict with societal needs to maintain productive use, to protect food security and livelihoods. Wetland agriculture strategies will, therefore, be required to adapt agriculture to the wetland character of peatlands, and balance GHG mitigation against productivity, where halting emissions is not immediately possible. Paludiculture may substantially reduce GHG emissions but will not always be viable in the current economic landscape. Reduced drainage intensity systems may deliver partial reductions in the rate of emissions, with smaller modifications to existing systems. These compromise systems may face fewer hurdles to adoption and minimize environmental harm until societal conditions favour strategies that can halt emissions. Wetland agriculture will face agronomic, socio-economic and water management challenges, and careful implementation will be required. Diversity of values and priorities among stakeholders creates the potential for conflict. Successful implementation will require participatory research approaches and co-creation of workable solutions. Policymakers, private sector funders and researchers have key roles to play but adoption risks would fall predominantly on land managers. Development of a robust wetland agriculture paradigm is essential to deliver resilient production systems and wider environmental benefits. The challenge of responsible use presents an opportunity to rethink peatland management and create thriving, innovative and green wetland landscapes for everyone's future benefit, while making a vital contribution to global climate change mitigation.Entities:
Keywords: carbon; climate change mitigation; greenhouse gases; hydrology; paludiculture; peatlands; soil loss; wetland agriculture
Mesh:
Substances:
Year: 2022 PMID: 35243734 PMCID: PMC9314663 DOI: 10.1111/gcb.16152
Source DB: PubMed Journal: Glob Chang Biol ISSN: 1354-1013 Impact factor: 13.211
FIGURE 1Impacts of drainage for agriculture on fundamental peatland processes. Blue dashed lines indicate the average water table depth (WTD) with fluctuation around this level assumed. Semi‐natural peatlands are approximately carbon neutral but can be slight net sinks or sources of greenhouse gas (GHG) emissions depending on methane emissions. Drained peatlands are strong sources of GHG emissions from both fields and ditches. The acrotelm is the partially aerated upper layer of semi‐natural peatlands, while the catotelm is the submerged, anaerobic, lower peat layer. Fluctuations in the WTD produce a dynamic mesotelm layer between these, which has been omitted for clarity. Additions of fertiliser and livestock excreta increase labile carbon (C) and nitrogen (N) stocks in agricultural peatlands, exacerbating changes in C and N cycling. The fate of dissolved organic material leached from semi‐natural peatlands to streams and rivers is similar to that shown for drained peatlands and is omitted from the diagram in the interest of space. CH4, methane; CO2, carbon dioxide; DOC, dissolved organic carbon; N2O, nitrous oxide; OM, organic matter; POC, particulate organic carbon; SOM, soil organic matter
Tier 1 emission factors for mid‐latitude peatlands under agricultural management
| Emission factor | Land use | Climate zone | Nutrient status | Drainage depth | Value | LCI | UCI |
|
|---|---|---|---|---|---|---|---|---|
| CO2 (t CO2‐C ha−1 yr−1) | Cropland | Boreo‐temperate | 7.9 | 6.5 | 9.4 | 39 | ||
| Grassland | Boreal | 5.7 | 2.9 | 8.6 | 8 | |||
| Temperate | Low | 5.3 | 3.7 | 6.9 | 39 | |||
| High | Deep | 6.1 | 5 | 7.3 | 7 | |||
| Shallow | 3.6 | 1.8 | 5.4 | 13 | ||||
| Field CH4 (kg CH4 ha−1 yr−1) | Cropland | Boreo‐temperate | 0 | −2.8 | 2.8 | 38 | ||
| Grassland | Boreal | 1.4 | −1.6 | 4.5 | 12 | |||
| Temperate | Low | 1.8 | 0.72 | 2.9 | 9 | |||
| High | Deep | 16 | 2.4 | 29 | 44 | |||
| Shallow | 39 | −2.9 | 81 | 16 | ||||
| N2O (kg N2O‐N ha−1 yr−1) | Cropland | Boreo‐temperate | 13 | 8.2 | 18 | 36 | ||
| Grassland | Boreal | 9.5 | 4.6 | 14 | 16 | |||
| Temperate | Low | 4.3 | 1.9 | 6.8 | 7 | |||
| High | Deep | 8.2 | 4.9 | 11 | 47 | |||
| Shallow | 1.6 | 0.56 | 2.7 | 13 | ||||
| Ditch CH4 (kg CH4 ha−1 yr−1) | Agriculture | Boreo‐temperate | Deep | 1165 | 335 | 1995 | 6 | |
| Grassland | Boreo‐temperate | Shallow | 527 | 285 | 769 | 5 | ||
| DOC (t C ha−1 yr−1) | Agriculture | Boreal | 0.12 | 0.07 | 0.19 |
| ||
| Agriculture | Temperate | 0.31 | 0.19 | 0.46 |
| |||
Abbreviations: LCI/UCI, lower/upper 95% confidence intervals; n, number of studies included in deriving estimate.
Single value not available for composite metric. Values collated from Drösler et al. (2014).
FIGURE 2Relationships between peatland water table depth (WTD) and carbon‐derived greenhouse gas emissions. (a) Net biome production (NBP; sum of ecosystem respiration, gross primary productivity and carbon import/export). Dashed and solid light blue lines represent UK and global relationships, respectively, in Evans et al. (2021). (b) Terrestrial methane emissions (CH4; excluding ditch emissions and converted to CO2 equivalent using a 100‐year global warming potential of 28). Dashed and solid dark blue lines represent relationships for agricultural and rewetted sites, respectively, in Tiemeyer et al. (2020). Solid and dashed green lines indicate the published relationship from Couwenberg et al. (2011) and an exponential function fitted to a digitized subset of these data (see S4 for detailed description). (c) Terrestrial GHG balance of CO2 (NBP) and CH4. Functions for Tiemeyer et al. (2020) and Couwenberg et al. (2011) produced using rewetted site and exponential CH4 functions, respectively. Dashed and solid light blue lines as for (a). Vertical dashed black lines indicate the peat surface (WTD = 0 m). More positive WTD values indicate deeper drainage and negative values indicate inundation. Horizontal red dashed lines indicate emission values of zero
FIGURE 3Nitrous oxide emission factors for selected land‐use categories. Error bars indicate 95% confidence intervals (CIs). The horizontal red dashed line indicates zero emissions and is included to highlight that the CIs for cropland and grassland sites exclude zero, while the CIs for semi‐natural and rewetted sites include zero. N2O was converted to CO2 equivalent using a 100‐year global warming potential of 265 (Myhre et al., 2013) to aid comparison with carbon‐derived greenhouse gas emissions. Land‐use categories are presented in approximate order of decreasing water table depth (WTD), with deeper drained agricultural sites on the left and near‐surface WTDs on the right. NR, nutrient‐rich and NP, nutrient‐poor. Tier 1 (Default) emissions factors (EFs) were sourced from Drösler et al. (2014), Tier 2 (Germany; DE) EFs from Tiemeyer et al. (2020) and Tier 2 (United Kingdom; UK) EFs from Evans et al. (2017)
Overview of relationships between conventional systems and wetland agriculture systems
| Category | Sub‐category | Summer WTD | Winter WTD | Area under modified WTD | Land use on modified WTD area | Land use on unmodified WTD area |
|---|---|---|---|---|---|---|
| Conventional agriculture | Conventional agriculture | Deep drained (BAU) | Deep drained (BAU) | None | N/a | Conventional agriculture |
| Wetland agriculture | Paludiculture | Near‐surface | Near‐surface | Whole site | Paludiculture | N/a |
| Reduced drainage depth | Intermediate | Intermediate | Whole site | Adapted agriculture | N/a | |
| Reduced drainage duration | Deep drained (BAU) | Near‐surface | Whole site | Adapted agriculture | N/a | |
| Reduced drainage area | Near‐surface | Near‐surface | Part of site only | Paludiculture or restoration | Conventional agriculture |
There is a subdivision between paludiculture and reduced drainage intensity approaches in the extent of modification. Reductions in overall drainage intensity are separated into those decreasing the depth, duration or area of drainage. However, in practice some combination of these may also be used. These are broad characterizations intended to highlight differences. Water table depths (WTDs) and management practices on specific sites may be less clear‐cut.
Abbreviation: BAU, business as usual.
FIGURE 4Seasonal water management in agricultural lowland peatlands. (a) Field water table conditions with drainage ditches alone, (b) Theoretical field water table conditions with submerged drains, (c) Drainage management on agricultural peatlands subject to extensive subsidence. In winter, water is pumped from ditches up to rivers, to drain the fields and limit flood risk. In summer, water is allowed to flow down from rivers to ditches to aid irrigation of the crop/sward. Sub‐images (a) and (b) developed from Hoving et al. (2015)
Socio‐economic challenges facing wetland agriculture adoption on mid‐latitude peatlands
| Challenge | Details |
|---|---|
| Opportunity costs | Agricultural use can be highly profitable.1,2 Where wetland agriculture is less profitable, this represents a loss if income is not replaced.2,3 Conversion costs borne by land managers cannot be invested in future productivity gains.2 Where changes are irreversible, perceived opportunity costs may be substantial.4 |
| Uncertain time horizons | Remaining lifespans of agricultural peatlands vary between sites and are often uncertain.1 Uncertainty and poor visibility of soil loss rates on deep peat may affect perceptions of the urgency of response required.1 |
| Uncertain costs of business as usual | Underlying mineral soils are variable and define the income generating potential after peat loss.1 Expectations of future yield enhancing technologies may mitigate concerns about transitioning to less productive underlying soils, reducing the perceived costs of continuing current practice. |
| Regional cost–benefit disparities | Spatial variation in productivity and C stocks will cause spatial variation in cost–benefit assessments around adoption. For example on highly productive systems with low remaining C stocks, the costs of offsetting production losses may outweigh the perceived benefits of adoption.3 |
| Cultural identities | In many areas, agricultural use is long established and local communities have invested heavily in building rural economies.1,4 Pride in local culture and traditions may favour agricultural solutions and impede adoption of externally imposed novel solutions.4 |
| Stakeholder networks | Highly connected networks, including both scientific expertise and local actors positioned to implement solutions, appear to enhance potential for adoption.2 Poorly connected networks are associated with low acceptance and potential for conflict.2 |
| Stakeholder conflict | Local conflict may arise when adoption affects water levels on neighbouring land. Land‐use heterogeneity and high productivity can increase conflict potential.3,5 Larger‐scale conflict may arise over the importance of production and pro‐environmental ecosystem services.6 |
| Economic pressures | Agricultural producers face pressures from retailers on both the quantity and timeframe of production.1 Producers unable to meet these demands under less productive/reliable systems may lose contracts or favourable terms, exacerbating profitability reductions. |
| Economic competition | Reduced production potential under wetland agriculture may diminish the comparative advantage of peatland production and expose producers to competition with mineral soil producers, leading to loss of market share and reducing profitability.2 |
| Perceived locus of control and self‐efficacy | Perceptions of control and capacity are important precursors to pro‐environmental behaviours. Prescriptive, top‐down policy may reduce perceived control, while uncertainty around capacity for implementation may present an obstacle to adoption.4 |
| Information availability/quality | Research is not always produced and communicated with the aim of providing useable information to end users.6 This effectively creates an information deficit, which may be exacerbated by low levels of trust towards researchers.4 |
| Policy coherence | Implementation of mitigation measures can be impeded when national laws and land use/agricultural policies are not aligned with international/national climate policy.3,6,7 |
| Incentivising mechanisms | There are currently few schemes formally incentivizing reduced WTDs on agricultural peatlands for climate mitigation and provision of public goods.1 Longer‐term schemes will be required to ensure persistence of WTD changes and provide security.3 |
| Quantification of public goods | Lack of robust valuations for regulating, supporting and cultural ecosystem services delivered under mitigation measures leaves decision‐makers reliant on incomplete information.6 |
| C market development | Peatland emissions are generally not eligible for compliance markets.1,8 Commodity C prices required to offset opportunity costs are often higher than current scheme prices.1 |
| Indirect land‐use change impacts | Productivity declines associated with adoption may lead to production being exported to or intensified in other areas.2 Negative environmental effects elsewhere may, therefore, offset local benefits and generate resistance from relevant stakeholder groups.1,2,5 |
Sources: 1) Ferré et al. (2019), 2) Schaller et al. (2011), 3) Buschmann et al. (2020), 4) Reed et al. (2020), 5) Mulholland et al. (2020), 6) Rawlins and Morris (2010), 7) Regina et al. (2016) and 8) Bonn et al. (2014).
Abbreviations: C, carbon; WTD, water table depth.
FIGURE 5Example decision‐making tree for wetland agriculture adoption. This is based on the approach of Kekkonen et al. (2019), who demonstrated that accurate spatial data combined with an appropriate decision‐making tree could provide a practical tool for land‐use planning. In practice, the decision criteria selected and boundaries between classifications (e.g. deep/shallow peat) would need to be defined appropriately for the physical and socio‐economic conditions of the nation/region in question. Those chosen here, along with the options presented in the right hand column of boxes do not represent an exhaustive list and are presented for illustrative purposes only. Bold text indicates decision criteria. Italics indicate wetland agriculture sub‐categories. Peatland restoration (not shown) would also be an essential component of wider responsible peatland management strategies