Enhancing Post-Disaster Food Security Through Urban Agriculture in the Context of Climate Change
Abstract
:1. Introduction
1.1. Post-Disaster Food Security
1.2. Urban Agriculture
1.3. Case Context
- What is the available land area for vegetable cultivation in Wellington City?
- What is the vegetable productivity in Wellington City, and to what extent can it meet post-disaster vegetable demands?
- What is the potential contribution of UA to post-disaster Wellington?
2. Methods
2.1. Mapping Potential Productive Land
2.2. Estimating Vegetable Yields
2.3. Estimating Post-Disaster Food Demands
2.4. Scenario Settings and Self-Sufficient Rates Calculation
- Scenario A: Land with slopes < 15% and W (West), NW (Northwest), N (North), NE (Northeast), E (East)-facing aspects.
- Scenario B: Land with slopes < 30% and W, NW, N, NE, E-facing aspects.
- Scenario C: Land with slopes < 15% across all aspects.
- Scenario D: Land with slopes < 30% across all aspects.
3. Results
3.1. Potential UA Land
3.2. Potential Vegetable Productivity and Post-Disaster Vegetable Self-Sufficient Rate
4. Discussion
4.1. Wellington City vs. Other Cities
4.2. Potential UA vs. Current UA in Wellington City
4.3. The Significance of Urban Agriculture for Post-Disaster Wellington
4.4. The Potential of Developing UA for Post-Disaster Wellington
4.5. Limitations
5. Conclusions
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
1 | |
2 | |
3 | |
4 | Residential parcels include single-unit (S)—designed for one household, multi-unit (M)—accommodating two or more households, bach (B)—Holiday house, and vacant (V)—undeveloped residential parcels, located in residential zones and rural zones [47,48]. Among them, S, M, and B parcels are considered suitable for private yards, while V parcels are suitable for communal gardens. Although the sport and active recreation zone and the quarry zone are designated as farming-permitted areas, they were excluded from this analysis due to potential soil contamination risks [49,50]. |
5 | The aerial imagery for this study was LINZ 0.3-m orthophotography of the Wellington Region, captured in 2021. |
6 | To ensure accessibility in rural zones, where many parcels are distant from dense population areas, aerial imagery was used to identify and exclude those far from major population centres or separated by mountains. |
7 | It includes commenters, flat dwellers and visitors in the event of an earthquake occurring during working hours. |
8 | Although the current community gardens in Wellington include more than just communal gardens, they primarily consist of communal gardens; therefore, only communal gardens are used for calculation here. Since the current yield from communal gardens is similar to that of allotments but lower than urban farms, the results remain robust. |
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Allotments/Private Yards 1 | ||
---|---|---|
Source | Location | Yield (kg/m2) |
[62] | South Australian | 3.4 |
[63] | Brighton and Hove, UK | 1.0 |
[64] | Paris | 1.2 |
[65] | San Jose, California, USA | 6.0 |
[66] | Laramie, Wyoming, USA | 2.4 |
[67] | Leicester, UK | 2.3 |
[57] | Guelph, Canada | 1.4 |
Average | 2.5 | |
Communal Gardens | ||
Source | Location | Yield (kg/m2) |
[64] | Paris | 1.4 |
Montreal | 1.9 | |
[68] | New York, USA | 5.8 |
1.6 | ||
[69] | UK | 1.6 |
Average | 2.5 | |
Urban Farms | ||
Source | Location | Yield (kg/m2) |
[70] | Chiba and Tokyo, Japan | 4.2 |
8.5 | ||
[71] | Manila, the Philippines | 3.0 |
This study survey | Urban Farm 1 in Wellington, NZ | 4.0 |
This study survey | Urban Farm 2 in Wellington, NZ | 3.7 |
Average | 4.7 | |
Conventional farming data [61] | 2.5 (kg/m2) |
Yield Scenarios | Definition 1 | Allotment/Private Garden | Communal Gardens | Urban Farms |
---|---|---|---|---|
Yield 1 | Lowest yield in each UA type, with low labour intensity, poor soil quality, unsuitable farming climate, and gardeners treating UA as a hobby. | 1.0 | 1.4 | 3.0 |
Yield 2 | Average yield in each UA type, with medium labour intensity, moderate soil quality, and a reasonably suitable farming climate. | 2.5 | 2.5 | 4.7 |
Yield 3 | Highest yield in each UA type, with high labour intensity, excellent soil quality, an optimal farming climate, and professional gardeners. | 6.0 | 5.8 | 8.5 |
Minimum Daily Vegetable Intake (g/Day/Capita) | Data Sources | ||
---|---|---|---|
Minimum vegetable demands | 375 | [78] | |
Targeted population scenarios | |||
I | Entire population | 216,200 | [31] |
II | Displaced population | 67,000 | [80] |
III | Vulnerable population | 54,300 | [31] |
Productivity (kg) | |||
---|---|---|---|
Yield 1 | Yield 2 | Yield 3 | |
Scenario A | 859,578 | 1,736,721 | 4,095,579 |
Scenario B | 1,717,501 | 4,273,249 | 8,075,240 |
Scenario C | 2,345,955 | 4,475,346 | 9,914,803 |
Scenario D | 5,620,146 | 10,258,102 | 22,142,588 |
Targeted Population | Self-Sufficiency Rate | ||
---|---|---|---|
Entire population | SA1 | SA2 | SA3 |
3% | 6% | 14% | |
SB1 | SB2 | SB3 | |
6% | 14% | 27% | |
SC1 | SC2 | SC3 | |
8% | 15% | 34% | |
SD1 | SD2 | SD3 | |
19% | 35% | 75% | |
Displaced population | SA1 | SA2 | SA3 |
9% | 19% | 45% | |
SB1 | SB2 | SB3 | |
19% | 47% | 88% | |
SC1 | SC2 | SC3 | |
26% | 49% | 108% | |
SD1 | SD2 | SD3 | |
61% | 112% | 241% | |
Vulnerable population | SA1 | SA2 | SA3 |
12% | 23% | 55% | |
SB1 | SB2 | SB3 | |
23% | 57% | 109% | |
SC1 | SC2 | SC3 | |
32% | 60% | 133% | |
SD1 | SD2 | SD3 | |
76% | 138% | 298% |
Studies | Self-Sufficient Rate |
---|---|
Dubbo, Australia [86] | 23.4–84.3% |
Sydney, Australia [87] | 15–34% |
Oakland, USA [54] | 0.6–7.7% |
Berlin, Germany [55] | 5–82% |
Tokyo, Japan [59] | 11.73% |
Midlands, UK [88] | 9% |
New York, USA [53] | 50% |
Mestre, Italy [56] | 319% |
Current Study (Wellington City) | 3–75% |
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Liu, Y.; Chanse, V.; Chicca, F. Enhancing Post-Disaster Food Security Through Urban Agriculture in the Context of Climate Change. Land 2025, 14, 799. https://doi.org/10.3390/land14040799
Liu Y, Chanse V, Chicca F. Enhancing Post-Disaster Food Security Through Urban Agriculture in the Context of Climate Change. Land. 2025; 14(4):799. https://doi.org/10.3390/land14040799
Chicago/Turabian StyleLiu, Yanxin, Victoria Chanse, and Fabricio Chicca. 2025. "Enhancing Post-Disaster Food Security Through Urban Agriculture in the Context of Climate Change" Land 14, no. 4: 799. https://doi.org/10.3390/land14040799
APA StyleLiu, Y., Chanse, V., & Chicca, F. (2025). Enhancing Post-Disaster Food Security Through Urban Agriculture in the Context of Climate Change. Land, 14(4), 799. https://doi.org/10.3390/land14040799