Traditional Ecological Knowledge (TEK) is one of the components of the Globally Important Agricultural Heritage Systems (GIAHS), which are good examples of evolutionary adapted socio-ecosystems in human history. The Hani Rice Terraces System, located in China’s southwestern Yunnan Province, is a living example of GIAHS. The Hani Rice Terraces system has existed for more than one thousand years, following TEK related to cultivation and natural resources management, which was collected and practiced continually. Over this long time period, TEK has enabled the Hani people to manage their terraces and other natural resources in a sustainable way. This paper concentrates on the TEK transferring in the current Hani community, taking a small village, Mitian, as an example. Grouping the interviewees into three different age groups (young group, 0–30 years old; middle-age group, 31–50 years old; old group > 50 years old), we investigated their understanding and participation in 13 items of TEK in relation to rice cultivation and water utilization. The items of TEK were divided into four categories, namely “Festivals”, “Beliefs”, “Folk Songs”, and “Water Management”. From the data collected, it was learned that all the items of TEK are well known, but not necessarily practiced. Age and gender have significant influences on farmers’ understanding and participation in TEK. Our analysis suggested that both the knowledge and the practice showed declining trends from the older to the younger age group. Men and women behave differently in practices. In general, it is shown that TEK is declining in the Hani villages which will affect the rice terrace system in ways that are yet unknown. It is likely that a blended TEK, with old and new knowledge and practices, will emerge to sustain the upland rice terrace systems of Yunnan.

School plate waste is of particular concern worldwide due to its adverse impacts not only on resource use and the environment, but also on students’ health, physical maturation, and academic achievement in the long term. Previous studies on school plate waste have all been conducted in industrialized countries, and more studies are badly needed in developing countries. In this paper, we report a pilot study on the patterns and causes of plate waste in school lunch programs in Beijing, China, by a combination of physical weighing, questionnaire survey, and semi-structured interview approaches. Our results show that the average amount of food waste generated by school students in Beijing in 2014 was 130 g/cap/meal, accounting for 21% of total food served. Staple food (43%) and vegetables (42%) were the dominant proportions. Buffet meals resulted in less plate waste than packed meals and set meals. Food supply patterns, the quality of canteen service, and the dietary habit and students’ knowledge of food production were the main influencing factors behind plate waste. To our best knowledge, our pilot study provides a first understanding of the overlooked plate waste in school lunch programs in China, and a good basis for further analysis in this field, and will be helpful in informing policy-making in relevant nutrition and education programs in schools in China.

Global agricultural trade plays an essential role in balancing supply and demand regarding agricultural products worldwide. Based on complex network theory, two types of agricultural trade networks weighted by the physical quantity and monetary value were built. In both networks, eight groups of agricultural products showed diverse variation in time and space. During 1986 to 2016, the total physical trade increased by 2.55 times with a gradual growth process, and total monetary value increased 1.98 times with fluctuation. The cumulative distribution of node degree and strength followed power-law distribution. Scale expansion and structure complexity of both networks reflected heterogeneity between nodes and the trend of agricultural economic globalization. Meeting demand and seeking greater returns are the main drivers of global agricultural trade development. Mainly developed countries occupied the important positions in the global agricultural trade network, but some emerging economies such as China, Brazil, and India became important sources of demand and supply. China not only needs to fully use international resources to meet demand for agricultural products, but also needs to ensure its own food security through multiple countermeasures.

Food waste has become a global problem, causing widespread concern in all sectors of society. Many scholars and institutions have researched this issue from different perspectives, but theoretical and empirical research on food waste from the perspective of consumer perception is still limited. Therefore, this study constructs a theoretical framework based on food waste behavior of households and empirically analyzes the effect of consumer perception on food waste by 273 Chinese urban households eating at home. The reliable urban household food waste data are based on a combination of household questionnaire surveys, bookkeeping surveys, weighing surveys, and semi-structured interviews in 2018. The survey site is Zhengzhou City in Henan Province. The results show that the higher urban household consumer perception positive index, the smaller the amount of food waste per capita per meal, and the higher urban household consumer perception negative index, the greater the amount of food waste per capita per meal. These results suggest consumer perception affects urban household food waste behavior significantly. We need to encourage consumers to form a joint effort to change consumer perception about food waste in order to reducing food waste.

Transport profoundly affects energy use and carbon dioxide emissions in the tourism sector. The Wulingyuan Scenic Area (WSA), a natural heritage destination in China, is chosen for the case study. The energy consumption and carbon emission of 10 types of tourism transportation modes at the destination are measured and analyzed using a bottom‐up approach for the period of 1979 to 2010. Scenarios were created to project the effects of single and multiple factors on energy consumption and carbon emission by tourism transportation during 2011‐2020. The results showed the following: (a) there is a large difference in energy consumption and carbon emission per capita and per kilometer per capita among the 10 vehicle modes; (b) the monthly energy consumption and carbon emission of tourism transportation differed significantly, the month with the highest (October) are respectively 6.8 and 4 times that of the lowest month (January); (c) the highest annual growth rate of energy consumption and carbon emission are respectively as 32.16% and 27.98% during 1979‐2010; and (d) the amount of energy consumption and carbon emission in the multiple factor scenarios are lower than that in the reference and single factor scenarios during 2011‐2020.