| Literature DB >> 35505912 |
Julia Martin-Ortega1, Shane A Rothwell2, Aine Anderson2,3, Murat Okumah1, Christopher Lyon1,4, Erin Sherry5, Christopher Johnston5, Paul J A Withers2, Donnacha G Doody5.
Abstract
Food systems worldwide are vulnerable to Phosphorus (P) supply disruptions and price fluctuations. Current P use is also highly inefficient, generating large surpluses and pollution. Global food security and aquatic ecosystems are in jeopardy if transformative action is not taken. This paper pivots from earlier (predominantly conceptual) work to develop and analyse a P transdisciplinary scenario process, assessing stakeholders potential for transformative thinking in P use in the food system. Northern Ireland, a highly livestock-intensive system, was used as case study for illustrating such process. The stakeholder engagement takes a normative stance in that it sets the explicit premise that the food system needs to be transformed and asks stakeholders to engage in a dialogue on how that transformation can be achieved. A Substance Flow Analysis of P flows and stocks was employed to construct visions for alternative futures and stimulate stakeholder discussions on system responses. These were analysed for their transformative potential using a triple-loop social learning framework. For the most part, stakeholder responses remained transitional or incremental, rather than being fundamentally transformative. The process did unveil some deeper levers that could be acted upon to move the system further along the spectrum of transformational change (e.g. changes in food markets, creation of new P markets, destocking, new types of land production and radical land use changes), providing clues of what an aspirational system could look like. Replicated and adapted elsewhere, this process can serve as diagnostics of current stakeholders thinking and potential, as well as for the identification of those deeper levers, opening up avenues to work upon for global scale transformation.Entities:
Keywords: Agriculture; Northern Ireland; Participation; Scenario analysis; Social learning; Substance Flow Analysis; Transformations
Year: 2022 PMID: 35505912 PMCID: PMC8895547 DOI: 10.1016/j.envsci.2022.01.011
Source DB: PubMed Journal: Environ Sci Policy ISSN: 1462-9011 Impact factor: 5.581
Key characteristics of single-, double- and triple-loop learning from Pahl-Wostl (2009) and modified by Brown et al. (2016).
| Single loop: incremental improvements of established routines | Double loop: reframing of issues and challenging of assumptions | Triple loop: transformation of structures and regimes | |
|---|---|---|---|
| Existing established institutions | Reinterpretation to encourage innovation beyond established groups | Institutional change or new institutions to enable new paradigms | |
| Established norms | Norms questioned | Actions based upon new norms | |
| Same actor networks | Roles and identities questioned; new networks considered | Change in networks, roles and power relations | |
| Established vertical patterns | Increased informal knowledge exchange between levels | Polycentric structures; formalised participation and knowledge exchange at different levels | |
| No change in dominant mode | New governance types become visible (e.g. market based instruments) | New and diverse types of adaptive governance implemented | |
| Risk-averse with limited adaptation and aim to “reduce uncertainty” | Uncertainty used to identify different perspectives and frames | Uncertainty emphasises different perspective and adaptive approaches |
Participating stakeholders.
| Sector | Area | Name of organisation | Participation in the research* |
|---|---|---|---|
| Waste management | Renewable energy / Waste recycling | Granville Eco Park | a |
| Waste disposal | ISL Waste Management | a | |
| Organic waste | Natural World Products | a | |
| Anaerobic digestion / Energy production | Stream Bioenergy | a, b, c | |
| Environment / Resource efficiency | WRAP | a, b, c | |
| Waste processing | AgriAD | b | |
| Government Agency | Data management –Resource efficiency | Department Of Agriculture, Environment And Rural Affairs | a |
| Waste Recycling | Department of Agriculture, Environment and Rural Affairs | a | |
| Slaughter waste disposal | Department of Agriculture, Environment and Rural Affairs | a | |
| Economics and evaluation | Department of Agriculture, Environment and Rural Affairs | a | |
| Environmental and farming policy | Department of Agriculture, Environment and Rural Affairs | a, b, c | |
| Science and policy | Department of Agriculture, Environment and Rural Affairs | b | |
| Regulation and natural resources policy | Department of Agriculture, Environment and Rural Affairs | b, c | |
| Industrial waste and consents | Northern Ireland Environment Agency | b, c | |
| Environment / Water quality | Northern Ireland Environment Agency | b, c | |
| Environment/ Water Quality | Northern Ireland Environment Agency | b, c | |
| Farming and environment | Northern Ireland Environment Agency | b, c | |
| Evidence and monitoring | Northern Ireland Environment Agency | b | |
| Emissions and land management | Department of Agriculture, Environment and Rural Affairs | b | |
| Industry pollution regulation | Northern Ireland Environment Agency | b | |
| Farm regulations | Department of Agriculture, Environment and Rural Affairs | b | |
| Animal feed | Agri-Technology and Sustainable farming | Devenish Nutrition | a, b |
| Food | Poultry | Moy Park | b, c |
| Research | Catchment Modelling | AFBI | b, c |
| Nutrient management | AFBI | b | |
| Nutrient management | AFBI | b | |
| Renewable energy/technology | Queen’s University Belfast | b | |
| Pig and Poultry | AFBI | b | |
| Phosphorus recycling technology | Queen’s University Belfast | b | |
| Nutrient management/Anaerobic digestion | AFBI | b | |
| Nutrient management / Renewable energy | AFBI | b | |
| NGO | Environment/conservation | Ulster Wildlife trust | |
| Water utility | Waste management | Northern Ireland Water | b, c |
| Water management | Northern Ireland Water | b, c | |
| Farming | Farmer advocacy group | Ulster Farmers Union | b, c |
* (a): feeding into the current SFA (providing data, feedback or access to information); (b) participating in the scenario workshop; (c) participating in the individual reflection form.
Fig. 1Phosphorus Substance Flow Analysis for the current Northern Ireland food system. Note: The SFA shows It shows a total (including non-food P) of 18,300 t of P imports and 8000 t P exports, leading to a surplus of over 10,000 t of P. Of this, 71% accumulates in the soil, while 15% is lost to water, with the rest accumulating in landfill, septic tanks or domestic markets as non-food products (e.g. compost). The SFA shows a food system P efficiency (i.e. system product/system input) of 38%, with 17,900 t of inputs (coming from imports of animal feed, fertilizer, food and live animals and fish landings) and 6810 t of outputs (to food exports, Northern Ireland food consumption and exports of animal feed and live animals). Highlights of sector by sector flows and efficiency as presented to workshop participants are presented in the Supplementary Materials and more details on the analysis can be found in Rothwell et al. (2020). Full details of the SFA and its build up available in Rothwell et al. (2020).
Scenario labels and key metrics presented to stakeholders.
| Scenario label | System change | Key metrics | % change from current | |
|---|---|---|---|---|
| Current | No change | Surplus (kg/ha) | 8.5 | 0 |
| Predicted river SRP (ug/l) | 58 | 0 | ||
| P import (t/yr) | 18,337 | 0 | ||
| Food system efficiency (%) | 38 | 0 | ||
| Scenario 1: Manure export | 35% of manure P is ‘processed’ via waste management and exported. | Surplus (kg/ha) | 0.16 | -98 |
| Predicted river SRP (ug/l) | 31 | -46 | ||
| P import (t/yr) | 18,334 | 0 | ||
| Food system efficiency (%) | 38 | 0 | ||
| Scenario 2: Legacy P | Fertiliser P application is reduced by 95%. | Surplus (kg/ha) | 5.7 | -33 |
| Manure P application is reduced by 41% Crops/grass draw down existing soil P at a rate of 5.5 kg/ha/Excess manure P is exported. | Predicted river SRP (ug/l) | 47 | -19 | |
| P import (t/yr) | 14,403 | -22 | ||
| Food system efficiency (%) | 41 | + 3 | ||
| Scenario 3: Diet change | Changing global dietary habits leads to 25% reduction in consumer demand for animal food products. | Surplus (kg/ha) | 5.7 | -33 |
| Predicted river SRP (ug/l) | 47 | -19 | ||
| P import (t/yr) | 14,403 | -22 | ||
| Food system efficiency (%) | 41 | + 3 | ||
| Scenario 4: Target 1.5 | Fertiliser P use reduced by 75%. | Surplus (kg/ha) | 1.6 | -81 |
| Predicted river SRP (ug/l) | 35 | -40 | ||
| P import (t/yr) | 12,269 | -33 | ||
| Food system efficiency (%) | 58 | + 20 | ||
| Scenario 5: Balanced System | No P fertiliser is used. | Surplus (kg/ha) | 0.22 | -97 |
| Predicted river SRP (ug/l) | 31 | -46 | ||
| P import (t/yr) | 13,922 | -24 | ||
| Food system efficiency (%) | 52 | + 14 | ||