Based on fieldwork in a heavily industrialized Yunnan village, this article examines how villagers understand and respond to pollution-related health risks. Building on Robert Weller's (2006) concept of environmental consciousness, it shows that Baocun villagers have developed an acute environmental health consciousness. However, despite earlier instances of collective activism, they no longer act as a community to oppose the harm to their bodies caused by pollution. The article investigates the role of uncertainty surrounding illness causation in deterring action. It argues that uncertainty about pollution's effects on health is reinforced by the social, political and economic contexts and developments in the past few decades. As a result, villagers engage in a form of “lay epidemiology” to make sense of the effects of pollution on their health, but not in a “popular epidemiology” consisting of collective action against presumed health damages. The article concludes with some thoughts on how locals act within and despite uncertainty.

After more than three decades of extremely rapid industrial growth, China faces an environmental public health crisis. In this article, I examine pollution in the rural industrial sector and its implications for community health. Drawing on recent ethnographic research in an industrial township in rural Sichuan, including interviews with government officials, environmental regulators, industrial workers and local residents, I explore how community members understand the linkages between air and water pollution from nearby factories and their health and well-being. The article has two main goals. The first is to examine the various ways in which uncertainty about pollution sources, about the severity of pollution levels and about the links between pollution and human health shapes villagers' experiences of pollution on a day-to-day basis. The second goal is to examine the rising trend of “individualization” taking place in China today and explore how this process is related to people's experiences of toxic exposure. I consider the implications of this trend for how social scientists should approach the study of environmental illness in contemporary China.

The spatial pattern of lichen species richness was analyzed in a forest ecosystem impacted for 50 years by industrial emissions from a steelworks. Geostatistical tools were used to characterize the spatial pattern of the number of lichen species and multiple regression analysis was used to identify factors influencing it. Spatial analysis showed high variation of lichen species richness on a local scale, caused by patchiness of natural habitat factors (species composition of trees, their age, shade, etc.). On a large spatial scale, species richness differentiated the western from the eastern part of the forest. The western part, closer to the sources of pollution, had fewer species (average 6–10 per locality) than the eastern part (10–15 per locality). Multiple regression analysis was used to examine the relationships between the species richness of lichens and several environmental variables: input of ions with bulk precipitation (SO42−, NO−3, Cl−, Ca2+, Mg2+, Fe3+, Zn3+, Pb2+, Cd2+), distance to forest edge, tree stand age, and number of species per locality. Regression analysis was preceded by factor analysis for the input of ions to obtain uncorrelated variables. Regression explained 53% of the variation of lichen species richness. Highly significant predictor variables were the factor connected with the input of pollutants (Fe3+, Zn2+) emitted by the steelworks (negative effect) and the number of trees per locality (positive effect). Species richness was also affected by the age structure of the tree stand; more species were recorded in old forests.