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Regenerative Agriculture Literature Review
  • Agro-ecology & Regenerative Agriculture Knowledge Commons (with a focus on Climate Change)
  • Introduction
    • Purpose of this document and how to contribute
    • Why regenerative agriculture?
    • What is Regenerative Agriculture?
  • Part 1: Physical Science Underpinning Regenerative Agriculture
  • Physical cycles and interactions
    • Carbon sequestration
      • Soil carbon
      • Vegetation and carbon
    • Water cycle
    • Other nutrient cycles
      • Role of Fungi
      • Mineral nitrogen use and impacts
  • Biodiversity
  • Production Systems
  • Grazing
  • Cropping
  • Trees
  • Pigs and poultry
  • Measurement of impacts relative to industrial agriculture
  • Land degradation and productivity
  • Human health
  • Challenges of measuring complexity
  • Part 2: Social sciences and regenerative agriculture
    • Identifying, mapping and accounting regenerative agriculture
    • Barriers to adoption of regenerative agriculture
    • Enablers for adoption of regenerative agriculture
    • Pathways to Regenerative Agriculture
  • References
    • Introduction
    • Soil carbon
    • Vegetation and carbon
    • Water Cycle
    • Role of Fungi
    • Mineral nitrogen use and impacts
    • Grazing
    • Cropping
    • Trees
    • Pigs and poultry
    • Land degradation and productivity
    • Human health
    • Measuring complexity
    • Identifying, mapping and accounting
    • Barriers and Enablers and Pathways
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  1. Part 2: Social sciences and regenerative agriculture

Identifying, mapping and accounting regenerative agriculture

PreviousChallenges of measuring complexityNextBarriers to adoption of regenerative agriculture

Last updated 4 years ago

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For eaters, investors, regulators, supply chain partners (processing; distribution) and farmers to make decisions to maximise ecological function we need to be able to make informed decisions and get feedback on those decisions. There are myriad other processes and outcomes (and standards for measurement) that could be used to identify and communicate regenerative farming applications and benefits for land managers themselves, for investors, for supply chain partners and for eaters. Accreditations in the organics industry in Australia, for example, are in the most part very comprehensive and rigorous examples of regenerative farming standards. It is not our purpose here to critically review the proliferation of accreditation systems globally that are relevant to regenerative farming systems. We do, however, see an urgent need for a common assessment framework and open data standards on which we can build this interoperability and thus connect the different initiatives. An open and consistent taxonomy of standards would enable robust benchmarking of diverse farming and accreditation systems and sharing of knowledge.

Analysis

Source

A common accounting standard is under collaborative development through SEEA (System of Environmental-Economic Accounting) which is being developed through a global collaboration and is consistent with TEEB. A profit and loss or balance sheet have the same information, measured the same way - providing a consistent framework for comparison between different entities and aggregation of data. The SEEA framework is robust for measuring and communicating the impact of different agricultural practices/systems in a method analogous to financial accounting.

Provides a standardised method for accounting for land degradation as a liability.

Provides an example of approaching interoperability through open data standards.

Informing the development of SEEA accounts are various innovations in standardised farm scale ecological function analysis. Dr Sue Ogilvy has experience in ecological assessment of regenerative agriculture and advises on the range of methods and sources, particularly as they relate to Grassy Woodland Biomes.

Analysis

Source

Grassland Regeneration and Sustainability Standard (GRASS)

Checking for change: A practical guide to checking whether sites newly managed for conservation are on track to improve. This guide is more appropriate for cheaper or self assessments (eg to inform land management decisions).

Ecological Health Index: A Short Term Monitoring Method for Land Managers to Assess Grazing Lands Ecological Health (comprehensive and expensive - suitable for baselining for impact investors).

This report "Graziers with better profitability, biodiversity and wellbeing" adapts principles from McIntyre (2012) for sustainable grassy woodlands and native pastures and uses bare ground estimates from satellite imagery as a proxy for landscape function.

This report "Assessment of vegetation condition - Mulloon Creek Catchment and Mulloon Community Landscape Rehydration Project" provides another example of a baseline assessment of vegetation.

As a future extension to this section we would like to provide:

1) Example farm-scale natural capital accounts

2) Analysis of measurement used by different sorts of accreditation systems (eg or ) against and to inform a standard farm scale natural capital account.

A common assessment framework for mapping and accounting agriculture and food systems. It argues for the need for a '' approach, presents a and identifies theories and pathways for transformational change in agri-food systems. The primary goal is to support decision-makers in establishing “what should be evaluated” in a given assessment, and consequently, to bring transparency and context to all assessments, by highlighting elements which may have been overlooked (see in particular assessment checklist at 6a.1).

Ecological Outcome Verification
Soil Carbon Initiative
systems thinking
Framework for evaluation
TEEBAgrI-Food ‘Scientific and Economic Foundations’ report (2018)
System of environmental economic accounting (UN)
Ogilvy et al 2018
OpenTEAM
Nature Conservancy (2013)
Stol et al (2016)
Xu et al (2019)
Ogilvy 2018
Thackaway (2018)