| Literature DB >> 35055772 |
Bo Zhong1,2, Shuang Wu3, Geng Sun1, Ning Wu1.
Abstract
Ecosystem-based adaptation (EbA) is emerging as a cost-effective approach for helping people adapt to climate and non-climate changes. Nowadays, climate change and urbanization have affected agricultural systems, but it is not clear how rural communities have responded or adapted to those changes. Here, we chose two typical villages in the Chengdu Plain, southwest China, through sociological surveys on 90 local farmers with a semi-structured questionnaire, participatory observation, geospatial analysis of land use and land cover, and a literature review, to explore the local people's perception of changes or disturbances and their adaptation strategies from the perspective of EbA. The results showed that climate change and urbanization had impacted agricultural systems dramatically in the last 40 years. In two case-study sites, climate change and urbanization were perceived by most local farmers as the main drivers impacting on agricultural production, but various resource-use models containing abundant traditional knowledge or practices as well as modern tools, such as information communication technology (ICT), were applied to adapt to these changes. Moreover, culture service through the adaptive decoration of rural landscapes is becoming a new perspective for implementing an EbA strategy. Finally, our findings highlighted the potential value of an EbA strategy for sustaining urban-rural integrated development and enhancing the resilience of agricultural systems.Entities:
Keywords: Chengdu Plain; agricultural system; agro-biodiversity; climate change; ecosystem-based adaptation (EbA); functioning ecosystem; traditional knowledge or practice; urbanization
Mesh:
Year: 2022 PMID: 35055772 PMCID: PMC8775926 DOI: 10.3390/ijerph19020952
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Figure 1Location of case study sites in Chengdu Plain.
Figure 2The Proportion of land cover in two case-study sites.
Figure 3Land use of Paotong Village (a) and Dantu Village (b).
Categories of semi-structured questionnaire around key topics.
| Number | Key Questions |
|---|---|
| 1 | Do you think it has been getting warmer in the last 20 years? (yes/no) |
| 2 | Do you think there are more extreme heat waves in summer compared with the last 20 years? (yes/no) |
| 3 | Do you think there are more droughts compared with the last 20 years? (yes/no) |
| 4 | Do you think there has been an increasing heavy rainfall over the last 20 years? (yes/no) |
| 5 | Do you think the number of flood disasters has increased in the last 20 years? (yes/no) |
| 6 | Do you think the number of cold waves has increased in the last 20 years? (yes/no) |
| 7 | Which climate changes (such as heat waves, drought, heavy rain, flood, and cold waves) have severely impacted agricultural production or agricultural systems (rice paddy, farming land, fruit plantation, forest, or livestock)? How do you adapt to the impacts based on agro-biodiversity (species, varieties or breeds) and/or agricultural system? |
| 8 | Considering natural resources and agricultural products in your village, what services do you think are important for urban demands (a list of material supply and non-material supply)? |
| 9 | How can you sustain the deliverables including goods and services to the urban market? What are the advantages and/or disadvantages for your household? |
| 10 | According to the above replies, please assess the importance of EbA practices which you have adopted in the last few years (1–5 point; 1: not important; 2: not so important; 3: general importance; 4: important; and 5: extremely important). |
Note: As to the changes, the time scale was 20 years in the questionnaire, but it was an open question if respondents could answer to their feelings for the past 40 years.
The structure of surveyed farmers in two case-study villages.
| Respondent Structure | Composition (Number of Persons) | |
|---|---|---|
| Paotong Village | gender | men (32), women (8) |
| age | under 35 (2), 35–45 (7), 45–55 (12), over 55 (19) | |
| residence time | under 10(3), 10–20(4), 20–30(8), over 30 (25) | |
| Dantu Village | gender | men (37), women (13) |
| age | under 35 (3), 35–45 (8), 45–55 (13), over 55 (26) | |
| residence time | under 10 (2), 10–20 (4), 20–30 (13), over 30 (31) |
Note: “Residence time” means how many years a person has lived in this village.
Figure 4Annual precipitation (a), heavy rain days (b), mean temperature (c), max temperature (d) and min. temperature (e) during 1978–2018 in the Chengdu Plain.
The process of urbanization in Chengdu from 1978 to 2018.
| 1978 | 1990 | 2000 | 2010 | 2018 | |
|---|---|---|---|---|---|
| Urbanization rate (%) | 22.26 | 27.30 | 53.72 | 65.76 | 73.12 |
| Built-up area (km2) | 57 | 277 | 3874 | 455 | 932 |
| Rural population engaged in agriculture (104 person) | 241.36 | 305.13 | 244.09 | 152.65 | 148.58 |
| Sown area of crops (km2) | 9973.41 | 9909.44 | 9880.93 | 6398.87 | 7393.14 |
| GDP per capita (RMB Yuan) | 565 | 2123 | 11,471 | 41,253 | 94,782 |
Figure 5Consumption of agricultural goods and services per capita from 1978 to 2018 in Chengdu metropolitan area.
Figure 6Respondents’ perception to climate change and weather extremes.
Figure 7The perceived impacts of weather extremes on agricultural systems in Paotong (a) and Dantu (b) villages.
Figure 8The perceived goods and services delivered to the urban market in Paotong Village and Dantu Village.
EbA strategies to cope with weather extremes in the two villages.
| Paotong Village | Dantu Village | ||||
|---|---|---|---|---|---|
| Weather extremes | Mainly impacted system | Functioning ecosystem based adaptation | Agro- biodiversity based adaptation | Functioning ecosystem based adaptation | Agro- biodiversity based adaptation |
| Heavy rain | Farmland and fruit plantation | Using hydraulic system (canals) for drainage | Cultivating flatten resistant varieties (e.g., short straw rice varieties) or crops (e.g., replacing wheat with rape crop); cultivating water preference vegetables (e.g., water spinach, chives, cucumber and tomatoes) | Storing and discharging rainwater with forests; using water ponds for collecting water | Cultivating flatten resistant varieties (e.g., short straw rice varieties) or crops (e.g., replacing wheat with rape crop) |
| Drought | Rice paddy, farmland, and fruit plantation | Using hydraulic system for irrigation | Cultivating drought resistant crops (e.g., peas, broad bean and soybean) | Using water ponds for irrigation; covering ground surface with tree leaves or litter | Cultivating drought resistant crops (e.g., sweet potatoes, maize, peas, broad bean and soybeans) |
| Heat wave | Farmland and fruit plantation | Using hydraulic system for irrigation | Cultivating heat resistant crops (e.g., maize) | Using water ponds for irrigation; covering ground surface with tree leaves or litter | Cultivating heat resistant crops (e.g., sweet potatoes and maize) |
| Cold wave | Farmland, fruit plantation, poultry and pig breeding | Spreading straw onto the ground of animal pens | Cultivating cold resistant crops (e.g., radishes, carrots, onions, lettuce, kale etc.) | Watering field before planting crops; using bonfire to increase air temperature; spreading straw onto the ground of animal pens | Cultivating cold resistant crops (e.g., radishes, carrots, onions, lettuce, cabbage, kale, peas and beans) |
Figure 9Conceptual modes of agricultural landscape of Paotong (a) and Dantu (b) villages.
Figure 10The agricultural biodiversity in two case-study sites.
Farmers’ perception of the importance of EbA strategies.
| EbA Strategies | Paotong Village | Dantu Village | ||
|---|---|---|---|---|
| Climate Change | Urbanization | Climate Change | Urbanization | |
| functioning ecosystem | 4.05 (85%) | 4 (80%) | 4.24 (88%) | 4.12 (84%) |
| agro-biodiversity | 4 (80%) | 4.05 (75%) | 4.44 (96%) | 4.08 (80%) |
| self-organization | 3.5 (40%) | 4.15 (85%) | 3.8 (68%) | 4.28 (92%) |
| traditional knowledge | 2.95 (20%) | 2.9 (25%) | 3.28 (40%) | 3.04 (28%) |
| functioning ecosystem | 4.05 (85%) | 4 (80%) | 4.24 (88%) | 4.12 (84%) |
Note: The importance of EbA strategies was ranked with 1–5 point; 1: not important; 2: not so important; 3: general importance; 4: important; and 5: extremely important.