Farmers’ livelihood adaptation to environmental change in an arid region: A case study of the Minqin Oasis, northwestern China

Jia, Chen; Yin, Sha; Gebhardt, Hans; Xin-jun, Yang

doi:10.1016/j.ecolind.2018.05.017

Cited by 68 publications

(51 citation statements)

References 54 publications

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“…Referring to Wen Xin [22] and Chen Jia [36], we used a mixed-methods approach for our research design, using quantitative questionnaires, qualitative semi-structured interviews, and in-depth interviews. The semi-structured interviews and in-depth interviews play a role in the classification of farmers' livelihood types and the identification of obstacle factors.…”

Section: Data Sourcesmentioning

confidence: 99%

“…On that basis, the in-depth interviews were used to obtain the effect of farmers' household livelihood adaptation. The semi-structured interviews and the in-depth interviews were performed on the basis of the questionnaire survey [36]. The questionnaire survey was used to obtain important information on farmers' livelihood capital and farmers' cognition of rural tourism development.…”

Section: Data Sourcesmentioning

confidence: 99%

“…The main subjects of the interviews were as follows: (1) the livelihood strategies that farmers adopted before the development of rural tourism; (2) changes in farmers' livelihood strategies following the development of rural tourism; and (3) the obstacles that farmers consider to hinder their adaptation to the development of rural tourism. The transformation and evolution process of the livelihood strategy of Ying-Tao-Gou Village farmers was obtained; this provided a basis for the classification of farmers' livelihood types and the identification of obstacles [36].…”

Section: Data Sourcesmentioning

confidence: 99%

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Farmers’ Livelihood Adaptability in Rural Tourism Destinations: An Evaluation Study of Rural Revitalization in China

Guo

Nijkamp

et al. 2020

Sustainability

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Rural tourism is one of the important ways to achieve rural revitalization and one of the choices for farmers to improve their viability. Therefore, the socio-ecological systems (SES) analysis framework and obstacle factor analysis can provide a new perspective for the evaluation of farmers’ behavior adaptation processes. In order to test the adaptation mechanisms of farmers’ lives in rural tourism destinations, we applied this analysis framework to Ying-Tao-Gou Village in China. The study found that the livelihood adaptation strategies of local farmers can be divided into the categories of “tourism livelihood”, “part-time livelihood”, “worker livelihood”, and “farming livelihood”. The livelihood adaptation of local farmers presented a relatively balanced picture. There were significant differences in the livelihood adaptability of different types of farmers, but tourism farmers had the strongest livelihood adaptability. There were various barriers to the livelihood adaptation of different types of farmers, such as household savings and education level. Finally, to improve the adaptability of farmers’ livelihoods, amendments can be made in policy formulation, tourism development, and by the farmers themselves. This study is of great significance for the government in formulating policies to improve people’s livelihoods, to stimulate the vitality of rural development, and to accelerate the development of rural revitalization.

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Section: Data Sourcesmentioning

confidence: 99%

Section: Data Sourcesmentioning

confidence: 99%

Section: Data Sourcesmentioning

confidence: 99%

See 1 more Smart Citation

Farmers’ Livelihood Adaptability in Rural Tourism Destinations: An Evaluation Study of Rural Revitalization in China

Guo

Nijkamp

et al. 2020

Sustainability

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“…Particularly since 2015, the Chinese government started to carry out an overall "precise poverty alleviation" strategy for breaking through the bottleneck of poverty reduction, which requires precise measures for each farm household and maintains the sustainable and coordinated development of society, economy, resources and environment [4]. As the basic livelihood unit in rural society, farmer households bear multiple risks resulting from environmental climate change and socioeconomic policies, and face multiple economic and social pressures due to changes in the surrounding ecological environment and socioeconomic development, which will undoubtedly increase the vulnerability of farmers' livelihoods [5,6]. In rural communities with limited income, access to education, medical care, and social security become the main social exclusion factors restricting the livelihood maintenance of farmers and threatening social welfare.…”

Section: Introductionmentioning

confidence: 99%

“…In rural communities with limited income, access to education, medical care, and social security become the main social exclusion factors restricting the livelihood maintenance of farmers and threatening social welfare. Various activities, i.e., economic, social, and ecological, can contribute significantly to livelihood security [5,7,8]. Therefore, it is both critical and urgent to accurately detect poverty-contributing factors of rural poor households and further improve their ability to create sustainable livelihoods, which would provide reliable guidance and technical support for solving such poverty-related problems as "why the farmer households are poor?"…”

Section: Introductionmentioning

confidence: 99%

Constructing HLM to examine multi-level poverty-contributing factors of farmer households: Why and how?

et al. 2020

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Accurately identifying poverty-contributing factors of farmer households in an all-round way is the critical prerequisite and guarantee for taking targeted measures in poverty alleviation. From the combined perspectives of multi-level comprehensive detection and human-nature sustainable development, this study has designed a multi-level index system of householdlevel, village-level, and town-level, and constructed a nested three-level hierarchical linear model to examine the poverty-contributing factors of farmer households, and to reveal the significant ones and their multi-level interaction mechanism. The case test from Fugong County shows that: (1) Poverty-contributing factors are multi-level, showing both individual and background effects. 77.14% of the poverty is caused by household-level factors, 6.24% by village-level ones and 16.62% by town-level factors. (2) Significant poverty-contributing factors at different levels are different, identifying different contribution degrees to poverty gaps of farmer households. Five household-level factors show significant influence on poverty degree and account for 70.95% of the overall poverty gap among poor households, 11.70% for four village-level significant factors and 86.80% for two town-level ones, respectively. (3) Higher-level factors have different degrees of influence on the contribution difference of lower-level ones. The two town-level factors, terrain relief and town per capita annual income have explained 59.38% of the difference of village-level proportion of migrant workers' contribution to poverty degree among towns and 89.89% of the difference of household-level per capita annual income's contribution to poverty degree among towns respectively. (4) Measures such as improving the type of access to roads, developing characteristic planting and breeding, and implementing relocation projects, can help poor households in the study area to reduce poverty. This study provides a new perspective for identifying farmers' poverty-contributing factors and technical reference and decision support for local departments to plan and implement targeted assistance and household-specific development policies.

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Effects of vegetation restoration on soil nutrients, plant diversity, and its spatiotemporal heterogeneity in a desert–oasis ecotone

Deng

Huang

et al. 2020

Land Degrad Dev

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Vegetation restoration has been proposed as an effective measure for rehabilitating degraded land and slowing desertification in arid regions. However, the spatial variation in soil quality and plant diversity following vegetation restoration remains unclear. This study was designed to explore soil nutrient dynamics and how soil nutrients affect plant diversity and spatial heterogeneity after shrub restoration. We assessed the effect of Haloxylon ammodendron (C.A.Mey.) Bunge (which has been planted over 30 years) on the soil nutrients and plant diversity in a desert–oasis ecotone in Minqin County, Gansu, China, using geostatistics, beta diversity and rarefaction analyses, and Hill number extrapolation. Soil nutrients, including soil organic matter, total nitrogen, and alkali nitrogen, increased significantly after H. ammodendron planting. Species richness gradually increased from 1–5 years to 10–20 years after H. ammodendron was planted but then decreased at 20–30 years. The largest differences in plant composition were observed at 15 and 20 years. Plant diversity increased in the whole 30 years after shrub planting, increasing in the first 25 years and then decreasing at 26–30 year stage. The maximum coefficient of determination for the spatial heterogeneity model fit was 0.84 (25 years). The spatial heterogeneity in vegetation decreased with increasing soil available K content at 1–10 years. Our results suggest that planting shrubs can improve soil conditions and plant species diversity in desert–oasis ecotones and soil nutrients have a strong influence on plant diversity patterns and spatial heterogeneity following vegetation restoration.

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Farmers’ livelihood adaptation to environmental change in an arid region: A case study of the Minqin Oasis, northwestern China

Cited by 68 publications

References 54 publications

Farmers’ Livelihood Adaptability in Rural Tourism Destinations: An Evaluation Study of Rural Revitalization in China

Farmers’ Livelihood Adaptability in Rural Tourism Destinations: An Evaluation Study of Rural Revitalization in China

Constructing HLM to examine multi-level poverty-contributing factors of farmer households: Why and how?

Effects of vegetation restoration on soil nutrients, plant diversity, and its spatiotemporal heterogeneity in a desert–oasis ecotone

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