| Literature DB >> 35707501 |
Abstract
In recent days, the practice of adopting rooftop garden can be seen in urban areas of developing countries, but a successful adoption of well-equipped green roofs is still lacking and is limited to open farms. To fulfill the gaps in urban agriculture in determining diversity status and socioeconomic factors affecting the adoption of RTG, this study was conducted. The survey was conducted from February 3 to April 6, 2021, where a total of 116 respondents were selected randomly from Morang and Sunsari districts. The rooftop adopters had 30.5% and 33.2% of the roofs under farming in Morang and Sunsari, respectively, having the size of the roof of rooftop adopters significantly larger than nonadopters. A binary logit model was used to determine the factor affecting the adoption of RTG where age, gender, schooling year, training, and farming experience have a significant effect on the adoption of RTG. Locally available material was given preference under farming and nutritionally important 50 species were reported with tests of the daily food requirement of the respondents. The diversity indices suggest that ornamental plant diversity is more followed by vegetables. Though, adopters are continuing the garden but have reported that lack of proper policy and ineffective management makes it difficult to protect the life of roof. Concludingly, respondents and other willing people must be provided with training, financial support, and proper extension services as lack of training and extension services are the major problems reported in the study area. Proper policy of rooftop garden is lacking in study area though it is under study in Kathmandu; thus, policy makers and research institution should focus on promoting the rooftop in study area and provide more reliable package for roof protection and garden continuation.Entities:
Year: 2022 PMID: 35707501 PMCID: PMC9192269 DOI: 10.1155/2022/6744042
Source DB: PubMed Journal: Scientifica (Cairo) ISSN: 2090-908X
Production status and environmental benefits acquired from urban green roofs: literature review.
| Crop | Year and season of research | Country of research | Objective | Major findings | Conclusion | References |
|---|---|---|---|---|---|---|
| 22 crop species were planted (top five: tomato, chard, lettuce, pepper, and eggplant) | 2015–2017 | Barcelona, Spain | The objective of this research was to experiment the yield potential of the green roof under soil less polyculture | The experiment was conducted on 18 m2 soil with less polyculture, found productivity of 10.6 kg/m2/year, and reported that 5.3 m2 of area is required to feed one person annually | The productivity of soilless urban agriculture is high and cucurbitaceous crop had low yield compared to others. There should be cultivation-based trial on urban RTG helping to meet the market demand | [ |
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| Tomato and lettuce | 2013–2015 | AgroParis Tech university | The purpose of this study was to access the rooftops productivity using organic waste having the potential to generate many urban ecosystem services | The result is high levels of food provision with acceptable food quality in terms of contaminants, important runoff mitigation, and use of a local organic waste, but with a negative effect on runoff water quality in terms of carbon | The foods are of acceptable quality and urban organic waste has huge production potential in rooftop garden | [ |
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| Tomatoes (Solanum lycopersicum), beans (Phaseolus vulgaris), cucumbers (Cucumis sativus), peppers (Capsicum annuum), basil, and chives | 2010-2011 | United States of America | The purpose of this study was to explore three mulching strategies (pine bark, living sedum, and no mulch) and three fertilization regimens (25, 50, and 100 g·m−2 of 14-14-14 N-P-K slow release fertilizer applied twice each growing season) over two growing seasons to determine their benefits to rooftop agriculture | Tomato and cucumber have a positive response to fertilizer and under intensive management yield of tomato, bean and cucumber were comparable to that of conventional agriculture | More research must be conducted to access the alternative local mulching material and source of nutrients for organic production | [ |
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| Pepper and lettuce | June to September (2020) | To examine production systems by testing struvite solubility and uptake in granular form for two different crops: pepper plants (a highly P-demanding crop with a long growth cycle) and lettuce (shorter cycle) | The three cycles of lettuce treated with 20 g of struvite had the highest and most sustained overall yield, although such a high struvite concentration resulted in very slow dissolution. However, no signs of P deficiency can be seen in the pepper plants; even when obtaining a greater production, the P content was regarded as very low due to the slow struvite solubility | The use of struvite in hydroponic production due to the capacity of sustained production of shorter and longer cycle crops as well as the reduction of the environmental impacts compared to mineral fertilizer | [ | |
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| Lettuce and leafy vegetables on hydroponics: tomato, chili pepper, eggplant, melon, and watermelon on soils | 2012–2014 | Bologna, Italy | Assessing the sensitivity of the results to the availability of reused materials and the use intensity of the community rooftop garden for producing various crops | The best techniques of lettuce cultivation to address global warming were floating in the summer, with 65–85% less environmental impact per kilogram than nutrient film, and soil production in the winter, with 85–95% less environmental impact | In the design of rooftop gardens, soil production and fruit vegetables might be prioritized to achieve higher levels of ecoefficiency. However, leafy production using the floating technique is recommended for areas where water scarcity is an environmental issue, as it is the most water-efficient option | [ |
Figure 1Map of Nepal showing study area (ArcGIS 10.7.1).
Figure 2Method of interview and some key questions based on rooftop practitioners in the study area.
Figure 3Conceptual framework of using binary logit model and variables used.
Details of the parameters used in binary logit regression model.
| Parameters | Type of variable | Code used | Mean |
|---|---|---|---|
| Dependent variable | |||
| Adoption of RTG (Y) | Dummy | 1 = yes, 0 = no | 0.784 |
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| Independent variable | |||
| Gender of respondent (X1) | Dummy | (1 = male, 0 = female) | 0.567 |
| Age of respondent (X2) | Continuous | Age in years | 37.77 |
| Schooling year (X3) | Continuous | Years of schooling | 12.66 |
| Family size (X4) | Continuous | Number of members in a family | 5.165 |
| Family head (X5) | Dummy | (1 = male, 0 = female) | 0.525 |
| Occupation (X6) | Dummy | (1 = agriculture, 0 = other) | 0.66 |
| Landownership (X7) | Dummy | (1 = male, 0 = female) | 0.68 |
| Number of stories (X8) | Continuous | Number of floor in a house | 3.36 |
| Trainings (X9) | Dummy | (1 = participated, 0 = not participated) | 0.59 |
| Farming years (X10) | Continuous | Experience of farming | 2.42 |
Details of the diversity indices used for analysis.
| Diversity indices | Description | Formulae | References |
|---|---|---|---|
| Shannon-weaver | It is the most popular diversity indices and rises with the rise in the several species and the evenness of their abundance. Its value ranges from 0 to 5 and typically from 1.5 to 3.5. |
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| Simpson 1-D | D measures the dominance and 1-D measures the species diversity estimate. Its value ranges from 0 to 1 |
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| Evenness measure | Evenness is measured as | ||
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| The effective number of species | The exponential value of the Shannon–Weaver diversity index results in the effective number of species as explained by Peet [ | ||
Socioeconomic characteristics of the study area.
| Parameter | Morang | Sunsari | Total |
|---|---|---|---|
| Gender | |||
| Male | 33 | 30 | 63 |
| Female | 25 | 28 | 53 |
| Household head | |||
| Male | 31 | 39 | 70 |
| Female | 19 | 11 | 30 |
| Both | 8 | 8 | 16 |
| Decision making | |||
| Male | 29 | 33 | 62 |
| Female | 17 | 11 | 28 |
| Both | 12 | 14 | 26 |
| Age | 38.47 ± 0.205 | 42.14 ± 0.725 | 37.77 ± 0.43 |
| Caste | |||
| Chhetri | 15 | 17 | 32 |
| Brahmin | 25 | 13 | 38 |
| Madhesis | 11 | 7 | 18 |
| Janajati | 2 | 24 | 26 |
| Dalits | 0 | 2 | 2 |
| Occupation | |||
| Agriculture | 17 | 20 | 37 |
| Other | 41 | 38 | 79 |
| Family size | 5.14 ± 0.197 | 5.19 ± 0.214 | 5.165 ± 0.146 |
| Dependency ratio | 2.12 ± 0.118 | 2.14 ± 0.146 | 2.13 ± 0.112 |
| Schooling year | 11.28 ± 0.652 | 11.48 ± 0.609 | 12.66 ± 0.613 |
Figure 4Occupational status of study area.
Status of roof and garden as per adopters vs. nonadopters.
| Parameter | Adopters | Nonadopters |
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|---|---|---|---|---|
| Size of roof in (m2) | 181.98 | 142.40 | 0.65 | 0.05 |
| (%) Covered by rooftop garden | 34.09 | 28.29 | 0.989ns | 0.645 |
Status of roof and garden based on study area.
| Parameter | Morang | Sunsari |
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|---|---|---|---|---|
| Size of roof in (m2) | 150.69 | 174.421 | 1.39ns | 0.105 |
| Area of roof under farming | 13.46 (3–140) | 24.17 (7–150) | 2.19 | ≤0.0001 |
| (%) Covered by rooftop garden | 30.5 | 33.20 | 1.68 | 0.0248 |
Figure 5Satisfaction of rooftop adopters in its adoption.
Figure 6Benefits of rooftop gardens reported in study area.
Figure 7Use frequency of different planting materials in study area.
Factors affecting in adoption of rooftop garden: an analysis using binary logit model.
| Have roof top farm | Coef. | Std. |
|
| dy/dx |
|---|---|---|---|---|---|
| Gender | −2.96052 | 0.827985 | −3.58 | ≤0.0001 | −0.30936 |
| Age | 0.057204 | 0.028724 | 1.99 | 0.046 | 0.005978 |
| Schooling year | 0.254438 | 0.11518 | 2.21 | 0.027 | 0.026588 |
| Family size | 0.413564 | 0.307696 | 1.34 | 0.179 | 0.043216 |
| Family head | 0.488109 | 0.643735 | 0.76 | 0.448 | 0.051006 |
| Occupation | 0.46092 | 0.68697 | 0.67 | 0.502 | 0.048164 |
| Landownership | 0.686592 | 0.710618 | 0.97 | 0.334 | 0.071746 |
| Number of stories | 0.078205 | 0.317562 | 0.25 | 0.805 | 0.008172 |
| Trainings | 1.12708 | 0.616496 | 1.83 | 0.05 | 0.117776 |
| Farming years | 0.94502 | 0.303067 | 3.12 | 0.002 | 0.098751 |
| Cons | −7.18738 | 3.191387 | −2.25 | 0.024 |
Number of obs = 116, LR chi2 = 44.92, Prob > chi2 ≤ 0.0001, Pseudo-R2 = 0.3715, Log likelihood = -37.997031. : significant at 5% LOS, and : significant at 1% LOS.
Diversity indices of species reported in the study area.
| Criteria | Shannon (H) | Simpson 1-D | Evenness | Effective number of species |
|---|---|---|---|---|
| Overall | 3.58 | 0.95 | 0.38 | 35.87 |
| Vegetable | 2.08 | 0.84 | 0.4 | 8 |
| Fruit | 1.89 | 0.79 | 0.57 | 6.6 |
| Flower | 3.12 | 0.94 | 0.51 | 22.64 |
| Medicine | 1.67 | 0.78 | 0.67 | 5.3 |
Figure 8Tools of plant growth and management in rooftop gardens in study area.
Figure 9Constraints faced by rooftop adopters.