I02: Food Security & Sustainable Agriculture

I02: Food Security & Sustainable Agriculture

Indicators framework: LIT_001 · Calculation methodology: self_sufficiency_calculation · EDT convergence: edt_ssi_convergence

Definition

As named in the primary: Food security and sustainable agriculture (Table 2). Bustamin et al. describe it as the application of sustainable agricultural principles such as crop diversification, good soil management and the use of appropriate technology, maintaining food independence and improving community welfare; conventional practices such as planting, composting and soil regeneration remain widely used. LIT_001 (p.6)

As rendered for this project: The capacity to guarantee access to sufficient, safe, and nutritious food through sustainable agricultural practices, local production, and diversified crop management, without excessive dependence on external food supply chains. (This wording is the project’s working definition, restated from CR_001, the synthesis of the primary. The primary’s own words are above.)

Relevance to Neobiome

[Why this indicator matters for eco-village design. What achieving it looks like in practice.]

Evidence

• Skrzypczyński (2021): ~50% of 60 European ecovillages pursued partial food self-sufficiency alongside water and energy. CR_001
• Food self-sufficiency level (SSL) — percentage of local food demand met by local production — is the primary quantitative metric. CR_001
• FSR = Production / (Production + Imports − Exports) × 100 — standard peer-reviewed food self-sufficiency ratio (FAO methodology); improved SSFSSR variant converts to primary product equivalents across 64 commodity groups. CR_002
• Food Self-Sufficiency Index (FSSI) compares potential local production to dietary requirements under various land-use scenarios; foodshed models estimate required productive land area per capita. CR_003
• CR_002 and CR_003 independently confirm: no universally adopted composite framework exists for community-scale food SS; FSR is the most robust single-domain metric available. CR_002 CR_003
• Vegetable supply SSI is the most density-sensitive domain in multi-domain self-sufficiency modelling: dense multifamily (72 m²/person green area) achieves 38% vegetable SSI; single-family configurations achieve 210%–400% (Gullberg et al. 2025, Knivsta, Sweden). Note: vegetables are only part of total food consumption — even 400% vegetable SSI does not imply full food self-sufficiency. LIT_022
• NZ per-crop marketable vegetable yields (Reid & Morton 2019) — span ~10–80 t/ha (bulb onions ~50–80, cabbage 45–68, carrots ~50 high; broccoli 11–16, peas 10–15 low), the harvest-fraction insight (broccoli only ~18% marketable). CONVENTIONAL/commercial data — recorded as contrast, not the Neobiome veg_yield benchmark (see D_001): the model sources yield from regenerative/biointensive evidence, RT_061). OT_069
• Diversity, not quantity, is NZ’s vegetable self-sufficiency gap (Curran-Cournane & Rush 2021): NZ produces ~11.7 veg servings/day/person on 0.2% of its land, but legumes (0.57) and dark-green-leafy veg (0.03 servings/day) fall far short — closing them needs +76% / +3811% more land. Self-sufficiency in diet diversity ≫ harder than in total veg mass, and the environmental footprint of the intensive production behind those numbers (+600% synthetic-N since 1991, nitrate leaching, soil-carbon loss) is the evidence base for the regenerative-only food specification D_001. LIT_056
• NZ specialty grain/pulse set widens the diet-diversity path (OT_112, resolves RT_326). The LFI / Our Land & Water NGFS Specialty Grains and Pulses Report (Jun 2019) shortlists six near-term-viable NZ specialty crops — oats, quinoa, chickpeas, soybeans, buckwheat, hemp — directly addressing the legume/pulse leg of the LIT_056 diet-diversity gap, with NZ-context yields (chickpea 2–4, soybean 2–5, quinoa 3–5 t/ha) and whole-seed protein for two (chickpea 20%, buckwheat 13–15%). ⚠ All six need NZ’s established arable regions (Southern North Island / Canterbury / Southland / South Island; broadly LUC 1–4) — so widening pulse/grain self-sufficiency is land-class-bound, not achievable on marginal grazing land. Compiled agronomic ranges, not new NZ trials. OT_112
• The hemp leg of the specialty-crop diet-diversity set now has measured NZ trial data (OT_168). Where OT_112 lists hemp among six near-term-viable NZ specialty crops with a compiled seed yield (0.8–1.0 t/ha), this NZHIA/JIHA report (McPartland/Cutler/McIntosh 2003) supplies the measured multi-site NZ trial figure — seed 950–1,800 kg/ha (max 2,800) across 11–19 sites and 11 cultivars, marketed as cold-pressed food oil OT_168. It widens the oilseed leg of the LIT_056 diet-diversity picture (a dietary-fat/oil source, complementing the pulse/legume protein leg). ⚠ Like OT_112, it records no measured seed protein % (protein is qualitative only; profiling is future work) — so it does not extend the plant-protein path, and all six specialty crops (hemp included) remain land-class-bound to LUC 1–3 arable land (the report independently restates the annual-crop LUC 1–3 gate). Measured NZ multi-site trial, verbatim. OT_168
• Measured NZ hempseed yield + oil composition firms the oilseed leg of the diet-diversity gap (LIT_089, Townshend & Boleyn 2010). A Canterbury two-season field trial of hemp cv. Fasamo measures directly what OT_112 listed as a compiled range: machine-dressed seed 804–931 kg/ha (2006-07) and 1,640–1,849 kg/ha (2007-08), with measured seed oil content 30.9–32.5 g/100g and a near-optimal ~3:1 linoleic:α-linolenic essential-fatty-acid balance (AOAC 991.36). This addresses the oilseed/dietary-fat leg of food self-sufficiency — the OT_167 point that “nutritious food” needs a produced dietary-fat/oil source (oilseeds, nuts) beyond veg + protein volume; hemp is a credible NZ oilseed for that floor, now with a measured NZ yield and composition. ⚠ The trial measures oil, not seed protein — so it does not extend the plant-protein leg (that stays the faba anchor, OT_088); and both sites are irrigated Canterbury arable (broadly LUC 1–4, fertilised), so the oilseed leg is land-class-bound to established arable regions, not marginal grazing land. Measured NZ primary, verbatim. LIT_089
• Plant proteins already supply ≥40% of NZ adults’ protein intake — the NZ baseline for the plant leg of food security (OT_164, PFR/MPI 2018). Plant & Food Research’s MPI-commissioned Opportunities in plant based foods – PROTEIN (SPTS 15748) reports that, per the 2008-09 NZ Adult Nutrition Survey, plant-based proteins contribute at least 40% of adults’ average daily protein intake, while NZ production remains focused on dairy and meat — the diversification headroom for the plant-protein leg of the diet-diversity gap (LIT_056, OT_112). Its NZ sustainability case reinforces the regenerative/diversified selection (D_001): plant protein has many-times-lower water and nitrogen footprints than livestock, horticulture EBIT/ha exceeds livestock/dairy, and N-fixing crops (peas, soybean, chickpea) cut fertiliser over the land-use cycle; a national >1,737,000 ha plant-protein land-supply estimate frames the opportunity scale. ⚠ Advocacy report; ≥40% traces to the 2008-09 NZANS (MoH 2009), the land figure is the report’s own GIS ‘rough estimate’. OT_164
• Agro-PV with tracker systems creates “perfect synergy” with precision agriculture — same land produces both food and electricity, with effective electricity-generation footprint under 5% of productive farmland; precision agriculture machinery is already compatible with agro-PV row spacing. Interview II [INT_002]
• Drone technology enables early detection of crop disease and infection in agricultural fields — a significant food security benefit for communities using agro-PV or precision farming, with no additional monitoring infrastructure required beyond the drone itself. Interview II [INT_002]
• Agricultural performance monitoring from satellite EO is mature: crop size and quality can be assessed, soil moisture measured, and vegetation stress detected from space. Access via a partner organisation or productised tool makes this actionable for NZ community-scale farming without requiring in-house expertise. Interview IV [INT_004]
• Satellite crop monitoring and IoT-based agricultural sensing (e.g., soil sensors, drone inspection) are complementary — satellites provide area-wide crop condition assessment; local sensors provide real-time, field-level data. Interview IV [INT_004]
• Solar-coupled mechanisation of deep bed farming (DBF): Aftrak’s tractor reduces field preparation from 3–4 days to 1–2 days; Tiyeni claims DBF doubles crop yields and increases farmer revenue up to 9× — mechanisation of labour-intensive soil preparation is the primary productivity lever. Journalistic source — yield and revenue claims unverified. URL_001

Regenerative agriculture (NZ)

• NZ agriculture: 12.4% of GDP, 78% of total merchandise exports, 86,700 employed — food production is structurally central to NZ’s economy; transformation of the food system affects community food security at macro and local scale. LIT_013

• 11 NZ RA Principles (Lang et al. 2021, 21-practitioner focus group): maximise photosynthesis year-round (P8), minimise disturbance (P9), harness diversity (P10), manage livestock strategically (P11) — practical design framework applicable to community-scale food production, not only commercial farming. LIT_013

• RA is defined by regenerative outcomes (soil function, biodiversity, water cycle), not input restrictions — compatible with technology integration; RA and precision agriculture are complementary, not competing paradigms. LIT_013

• 95% of NZ river nutrient pollution from diffuse agricultural loss — conventional farming at community scale poses real water quality risk; RA practices (ground cover, reduced inputs, buffer zones) are the direct mitigation approach. LIT_013

• Natural capital valuation recommended over standard output metrics — community food system ROI should include soil carbon, biodiversity, and water quality gains, not only food volume or revenue. LIT_013

• Food SS pursuit: 80% of 60 European ecovillages pursue some food SS; majority at low/medium current levels, targeting medium/very high — complete food SS is rarely achieved or sought; partial SS with local cooperation is the standard ecovillage food model. LIT_020

• Only statistically significant predictor of food SS level: years in operation (Spearman r=0.390*, p=0.019) — older communities achieve higher food SS; population size, land area, and technology diversity are not significant predictors; food SS is time-dependent (accumulated knowledge, established systems), not resource-dependent. LIT_020

• Food production technology prevalence (N=38): composting ~90%, land cultivation ~85%, soil regeneration ~65%, food forests ~45%, wild foraging ~45%, animal husbandry ~35%, agroforestry ~25%, aqua/hydroponics ~8%, vertical farms ~0% — low-tech biological methods dominate; no European ecovillage surveyed uses vertical farms; food forests and wild foraging are near-equal in prevalence. LIT_020

• Eco-cell food target: 90% of food grown locally vs. 0% currently — achievable through communal farming integrated at multiple scales: apartment balcony growing space (all dwelling sizes), building-scale vertical gardens, block-scale courtyard farming, and eco-cell-scale local farm programme. Auckland suburban feasibility study. LIT_018

• Communal urban farming functions: reduces food transport dependency; acts as drainage surface for urban water; element of circular urban metabolism requiring on-site water; attracts local farmers and enables local employment — food production is simultaneously a water, waste, and economic intervention. LIT_018

• NZ design-derived benchmark: 200m²/person estimated as sufficient for plant-based food self-sufficiency at community scale, using permaculture zoning, raised beds, food forests, and beehives. Not empirically measured — derived from 10-case homestead synthesis (NZ and international) and design iteration at Wellington latitude. Thrifty Kiwi NZ: 1,000kg/year food for 7 people from 200m² total site (1.7m²/person productive land) with intensive raised beds — establishes an extreme-efficiency lower floor. OT_018

Practitioner community-scale benchmark (INT_007)

• A biodynamic farmer estimates a ~20-person community can be entirely food self-sufficient (except items that cannot grow locally) on ~3–8 ha with animals, fruit trees, and some grain — with a ~1 ha market garden covering a year’s vegetables for 20. A lived-practice land-area datapoint to sit beside the design figures above; complements the LIT_020 finding that food SS is time/knowledge-dependent rather than purely resource-dependent. The binding constraint is labour, not land. NZ-recalibration pending (RT_196). See biodynamic_farming. Interview VII [INT_007]

• Foodshed / LFS self-sufficiency method — and its overstatement caveat (Schreiber et al. 2021). The peer-reviewed PRISMA systematic review (42 empirical foodshed studies, 1979–2019) behind the model’s SSL_foodshed land method: it defines the calculation forms — self-sufficiency threshold (ST = production/consumption × 100, ≥100% = surplus), its inverse (IST), and foodshed size (land + radius to meet demand) across weight/nutrition/land functional units. Its load-bearing message for the food-SSI: a high theoretical LFS potential does not equal actual self-sufficiency — it is gated by processing/storage/transport infrastructure, economic incentive to source locally, seasonality, and consumer preference, which Capacity-style computations (like NI’s) routinely omit. So the model’s land-and-yield food-SSI should be read as an upper bound with an infrastructure/seasonality/preference haircut — reinforcing the LIT_022 “even 400% vegetable SSI ≠ full food self-sufficiency” note and the LIT_020 finding that complete food SS is rarely achieved. ⚠ Global urban-foodshed review (N. America 19 / Europe 13 / Asia 6), not NZ or community-scale data — method + caveat only. LIT_077

• The healthy-diet nutrient-requirement standard behind the “dietary requirements” leg of food-SSI (OT_165, WHO/FAO TRS 916 2003). The Food Self-Sufficiency Index method compares potential local production to dietary requirements (CR_003); this report supplies the internationally-agreed requirement standard — the Joint WHO/FAO Expert Consultation’s population nutrient intake goals (Table 6, % of total dietary energy): total carbohydrate 55–75%, protein 10–15%, total fat 15–30%, free sugars <10%, saturated fat <10%, and fruits & vegetables ≥400 g/day OT_165. It defines the I02 “sufficient, safe and nutritious food” target quantitatively and is the aspirational-requirement complement to the NZ-actual consumption split RD_030; the ≥400 g/day fruit-and-vegetable goal is the source standard the model operationalises as the ~82 g/day (5×75 g “5-a-day”) veg denominator CR_018. ⚠ Population chronic-disease-prevention goals (normative “good diet”), not individual reference intakes; intended to be “adapted and tailored to local or national diets”. OT_165

• What “nutritious food” quantitatively means — the FAO/WHO fat & fatty-acid intake goals (FNP 91). The Joint FAO/WHO Expert Consultation’s dietary-adequacy ranges give the food-security definition its quantitative teeth: an adequate diet needs total fat 20–35%E (a floor of 15%E, or 20%E for women of reproductive age and underweight adults, “especially in developing countries in which dietary fat may be important to achieve adequate energy intake in malnourished populations”), SFA ≤10%E, total PUFA 6–11%E, and an absolute EPA+DHA 0.250 g/day; and recommends a whole-foods pattern “predominantly based on… fruits and vegetables, whole grains, nuts, seeds, legumes… LCPUFA-rich seafood.” Two implications for community food self-sufficiency: a self-sufficient community must produce enough dietary fat/oil (oilseeds, nuts, animal fat) to clear the 15–20%E floor — an adequacy dimension beyond veg + protein volume; and the EPA+DHA (seafood) requirement is a real limit on complete self-sufficiency for inland communities (reinforcing the “even 400% vegetable SSI ≠ full food self-sufficiency” caveat above). Authoritative FAO/WHO primary, verbatim. OT_167

NZ measured foodshed — the only whole-diet land coefficient (OT_190)

• ~0.49 ha/person for full food self-sufficiency, 81% of it meat + dairy (Millar & Bould 2015, Blueskin & Karitane, ~2,800-person Otago foodshed). Average NZ omnivore diet 826.1 kg/person/yr; land for full food self-sufficiency 1,375.7 ha = “just 9%” of the foodshed’s 16,084 ha (16% of its pastoral land) → ~0.49 ha/person: meat 0.287 + dairy 0.110 = 81% OT_190. Three findings for I02. (1) 🎯 The food-security land constraint is an ANIMAL-PRODUCT constraint — the vegetable garden, where the corpus’s evidence is concentrated (CR_021, LIT_058, LIT_022), is the small share. (2) Land availability is not the binding constraint in a NZ rural foodshed (9% suffices), the empirical NZ counterpart to LIT_012’s Auroville result. (3) Measured self-sufficiency is low and category-lumpy: mass balance dairy 0.62, four-legged meat 0.14, eggs 5.54, overall 1.26, with zero commercial production of fruit, vegetables, grains or beverages — a foodshed can be a net food exporter while producing none of its own vegetables. The household survey is a rare NZ measured figure: 65 m²/person veg space on residential sections vs 25 m²/person on large lifestyle blocks, “Not one household was completely self-sufficient in all of the food types”, only 8% self-sufficient in two or more food types — direct empirical support for LIT_077’s theoretical-overstates-actual caveat. 🔴 ⚠ contested: true — three defects travel with the 0.49 (borrowed unmeasured yields: the report’s own measured meat yield is 165 kg/ha against Table 12’s 230; a dairy row that does not reconcile, 332.1 computed vs 308.00 printed; and a probable product-weight-vs-milksolids unit mismatch that could make 0.49 ~25% too high). Use as a cross-check, not a model input, until Lawton (2012) is retrieved (RT_395). The 81% animal-product structure survives all three. OT_190

EDT connections

[Which EDT domains most directly advance this indicator, and how.]

Measurement

• FSR (Food Self-Sufficiency Ratio): Production / (Production + Imports − Exports) × 100 — canonical formula CR_002
• Food Self-Sufficiency Index (FSSI): potential local production vs. dietary requirements under land-use scenarios CR_003
• Crop diversification indices and soil management quality assessments CR_001
• Use of appropriate agricultural technology (composting, soil regeneration) CR_001

Open questions

[Gaps in evidence, unresolved tensions, links to questions/ pages.]

Connections

Links to

Sources (26): CR_001 · CR_002 · CR_003 · CR_018 · CR_021 · LIT_001 · LIT_012 · LIT_013 · LIT_018 · LIT_020 · LIT_022 · LIT_056 · +14 more

Concepts (2): EDT–SSI Convergence · Self-Sufficiency Calculation Framework

Technologies (1): Biodynamic Farming

Decisions (1): D_001: Neobiome food production — regenerative…

Referenced by

Sources (2): OT_165 · OT_167