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China has experienced dramatic economic growth and social development, especially in the period between 1978 and 2008. The biodiversity and the socioeconomic sustainability in China were under threat, and the loss of wetlands was a significant aspect of ecological deterioration in the country at that time. However, the driving factors for the loss of wetlands are not well understood, probably due to a lack of accurate country-scale data. This study analyzes the changes in China's wetland area between 1978 and 2008 (1978, 1990, 2000, and 2008) and the interchange between different wetland types from 1990 to 2000. We select 29 socioeconomic parameters (per capita GDP, primary industry added value, secondary industry ratio, total population, arable land, pesticide use, aquatic products, railway mileage, domestic wastewater, urban sewage treatment capacity, etc.) and three meteorological parameters (annual temperature, annual precipitation, and annual sunshine) to analyze the driving forces of changes in wetlands. The factor analysis based on these parameters shows that two factors can explain 65.8% of the total variation from the data, while eight parameters can explain 59.7%. Furthermore, multiple linear regression analysis reveals that five factors are of great significance in explaining wetland change in China, which are annual temperature (p < 0.001), inland waterway mileage (p < 0.001), urban land acquisition (p = 0.01), secondary industry ratio (p = 0.014), and railway mileage (p = 0.02). In conclusion, climate change (especially temperature) and inland waterway mileage are the primary factors for changes in the wetlands in China, and other socioeconomic indicators, especially from industrial and construction factors, also play an important role in changes in wetlands during China's rapid economic development. In order to enhance wetland conservation efforts in China, we recommend prioritizing efforts to mitigate climate change on wetlands, promoting sustainable development policies, restoring and creating wetlands in urban areas, and utilizing advanced technologies to obtain accurate data. [ABSTRACT FROM AUTHOR]

The increase in farm plot size is one of the most apparent and significant trends that have influenced central and eastern European agricultural landscapes since the 1950s. In many countries where the average plot size in traditional land-use systems did not exceed several hectares, present-day plots reach the size of 200 ha or more. In recent times, efforts have been made to reverse this trend to restore important ecosystem functions and to re-establish the aesthetic values of everyday landscapes. Visual landscape quality is becoming a major driving force in the development of agricultural landscapes with known effects on people's well-being and health, and this quality plays an increasingly important role in agricultural policies. However, no comprehensive research has been carried out to establish the links between perceived visual landscape quality and the scale of the farm plot pattern. The current study was therefore designed to determine whether greater farmland pattern heterogeneity, i.e., smaller farm plot sizes, is consistent with higher visual preferences. The results showed that people preferred a small-scale plot pattern in landscapes characterized by a flat relief and a low proportion of woody vegetation. These homogeneous landscapes were also overall considered significantly less beautiful than more diverse landscapes. However, even a moderate decrease in plot size notably improved these low beauty scores. These preferences were displayed consistently by all respondents, and most strongly by older respondents, respondents with a higher level of education, and those professionally engaged in landscape design or conservation. The high level of consensus among respondents in rejecting further land consolidation in homogeneous landscapes, which form a large proportion of European farmland, underlines that the results of this study provide a valid argument for discussing sustainable agricultural plot sizes as part of agricultural policy-making.