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Aportamos evidencia empírica y soluciones prácticas para transformar el uso de la tierra y la producción de alimentos: conservando y restaurando ecosistemas, respondiendo a las crisis globales del clima, la malnutrición, la pérdida de biodiversidad y la desertificación. En resumen, mejorando la vida de las personas.

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Vulnerability to Climate Change: Ethnic Minorities in Southwest China

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Based on a large-scale survey of 1216 households, this research examined the differential vulnerability of diverse ethnic groups who have traditionally inhabited the climate-sensitive area of Southwest China in the Eastern Himalayas. The livelihood vulnerabilities of five ethnic groups that reside across different ecological zones were evaluated and compared using the Livelihood Vulnerability Index (LVI) and Livelihood Vulnerability Index–Intergovernmental Panel on Climate Change (LVI–IPCC). Binary and multiple logistic regression models were used to analyze the effects of geography, income, and household characteristics on respondents' perceptions of the four most perceived climate events. The combined results of overall LVI and LVI–IPCC scores indicate that the Tibetan ethnic group is the most vulnerable to climate change, followed by the Bai, Han, Naxi, and Lisu. Intertwined biophysical, socioeconomic, and cultural factors affect climate change vulnerability. The ethnic groups residing in high-altitude, steep, and remote areas, as well as farmers with lower livelihood diversity and a smaller proportion of nonagricultural income, were indicated to be most severely affected by climate events. As a timely piece of evidence-based and policy-informed research for decision-makers, the findings represent a clarion call for deepening understanding of cultural differences between ethnic minorities in order to properly mitigate the effects of climate change.

DOI:
https://doi.org/10.1111/1477-8947.12594
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    Año de publicación

    2025

    Autores

    Yang, H.; He, J.; Li, Z.; Su, Y.; Xu, J.

    Idioma

    English

    Palabras clave

    ethnic groups, households, livelihoods, climate change, statistical analysis, farmers

    Geográfico

    China

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