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Citations since 2016
9 Research Items
My research interest is situated in the human dimensions of natural resources and sustainable development, with specific focus on the indigenous knowledge systems related to wild foods. Currently, I am developing my research alongside the LICCI project to look at how climate change has affected the tea management and wild foods collections among Akha people in Southwest China. My past research experience has covered various topics related to social, economic, and political aspects of environmental issues, including public perceptions and engagements with urban air pollution in China, risk perceptions of small holder famers about impacts of weather changes and marketization on tradition crops, and socio-economic responses to climate change among indigenous tea farmers.
The use of wild edible plants and mushrooms can help to counteract the homogenisation of diets and decreasing resilience of food systems. We performed a systematic review to consolidate information about perceptions of wild edible plant and mushroom changes from the perspective of local communities. We found that 92% of all perceived changes of wil...
Current climate change is responsible for the greatest food scarcity ever known in the extreme south of Madagascar. Knowledge of wild edible plants has never been so crucial in this area to limit the food risk. Consequently, there is an urgent need to document this knowledge. However, the knowledge of specific groups such as women or children tends...
Homogenization of crop portfolios from the field to the global scale is raising concerns about agricultural adaptation to climate change. Assessing whether such trends threaten farmers’ long-term adaptive capacity requires a thorough understanding of changes in their crop portfolios, identification of the drivers of change, and the implications suc...
This paper presents new insights into contemporary Chinese demography and family life based on survey and interview data from rural households in Yunnan Province, China's most ethnically and linguistically diverse region. Using both quantitative and qualitative data, we examine fertility trends, sex ratios, and son preferences in our study sample....
Air pollution in China, increasingly known in policy circles and in popular discourse as “smog” (wumai), has aroused broad concern among citizens and in the international community. Although poor air quality has been a feature of urban life for decades in China, public engagement with the issue is a more recent phenomenon. In this article, we exami...
After decades of rapid economic development, China is facing severe environmental problems. In particular, smog in urban areas has recently attracted a great deal of scientific and media attention both domestically and internationally. Our focus in this article is on public perceptions of smog in the northern city of Tangshan, which is routinely ra...
Projections based on agroclimatic models envision a dramatic decrease in the agricultural production at the global scale, thus affecting the livelihoods of millions of peoples. However, these models focus on the major crops and are too coarse to represent the diversity of crop species and landraces responses to climate change. CITRON is a group of 20 researchers and student who developed a unified protocol for collecting local level data that will provide first-hand information on how climate change is affecting crop diversity around the world together with other drivers, and how farmers manage to adapt.
LICCI is an ERC funded project that aims to bring insights from indigenous and local knowledge to climate research. People with a long history of interaction with the environment have developed complex knowledge systems that allow them to detect local impacts of climatic variability, but these insights are absent in climate change research and policy fora. The LICCI project will bring insights from local knowledge to climate research by 1) providing data on local climate change impacts on physical (e.g., shrinking glaciers) and biological systems (e.g., phenological changes) and on perceptions of climate change impacts on socioeconomic systems (e.g., crop failure due to rainfall patterns change) and 2) testing hypotheses on the global spatial, socioeconomic and demographic distribution of local climate change impacts indicators. The LICCI project started in June 2018 and will end in May 2023.