In order to control air pollution better, China has adopted the central environmental inspection mechanism. This paper adopts the data of 290 prefecture-level cities in China to evaluate the air improvement effect of the central environmental inspection mechanism. Firstly, based on the Mechanism Design Theory and Principal-agent Theory, this paper analyzes the government incentive measures and effort levels under the conditions of information as symmetry and asymmetry. Then, this paper introduces Regression Discontinuity Design (RDD) Model to evaluate the air improvement effect of the central environmental inspection mechanism. Lastly, this paper explores the sustainability of the environmental inspection mechanism through the regression analysis of environmental inspection revisit. The results show that under the condition of information symmetry, the central government can make the local governments reach the Pareto optimal effort level through the design of incentive contract. In a short period of time, the first round of environmental inspection and environmental inspection revisit have significantly improved air quality, and significantly reduced PM2.5 and PM10 and other major single pollutants. In general, this system has had an immediate effect. The environmental inspection revisit has also significantly reduced the concentrations of AQI, PM2.5 and PM10. Compared with the first round of environmental inspection and environmental inspection revisit, the latter has a higher level of air pollution reduction and better effect. The sustainability of the improvement effect of environmental inspection mechanism is questioned. It is of great significance to evaluate the actual effect of the central environmental inspection system and tap the unique experience of "Chinese style" to explore how to control air pollution and promote green development.Understanding vegetation response to natural and anthropogenic forcings is vital for managing watersheds as natural ecosystems. We used a novel integrated framework to separate the impacts of natural factors (e.g. drought, precipitation and temperature) from those of anthropogenic factors (e.g. human activity) on vegetation cover change at the watershed scale. https://www.selleckchem.com/products/dlin-kc2-dma.html We also integrated several datasets including satellite remote sensing and in-situ measurements for a twenty-year time period (2000-2019). Our results show that despite no significant trend being observed in temperature and precipitation, vegetation indices expressed an increasing trend at both the control and treated watersheds. The vegetation cover was not significantly affected by the natural factors whereas the watershed management practice (as a human activity) had significant impacts on vegetation change in the long-term. Further, the vegetation cover long-term response to watershed management practice was mainly linear. We also found that the vegetation indices values in the 2011-2019 period (as the treated period in treated watershed) were significantly higher than those in the 2000-2010 period. In the short-term, however, the drought condition and decreased precipitation (as natural factors) explained the majority of the change in vegetation cover. For example, the majority of the breakpoints occurred in 2008, and it was related to a widespread extreme drought in the area. The watershed management practice as a human activity along with extreme climatic events could explain a large part of the vegetation changes observed in the treated and control watersheds.Human-wildlife conflicts are a challenge in parks and protected areas around the world. Facilitating quality wildlife viewing experiences that minimize negative impacts to people and animals is often complicated by distance-related human behaviors. The purpose of this study was to examine how people's distance-related norms varied as a function of proximity from wildlife, wildlife species, and physical landscape features. By using virtual reality technology and simulations, this study assessed how physical landscape features (i.e., an open field, deadfall, and a paved road) impact wildlife viewing norms and also compared norms among three different wildlife species (i.e., bison, bear, and elk). Data were analyzed with repeated measures ANOVA to explore how these factors influenced acceptability ratings of distances between people and wildlife. Results revealed a significant interaction between distance to wildlife and landscape features. Recommendations for improving the management of humanwildlife conflicts and future research directions are discussed.Spatio-temporal behaviour of dissolved organic carbon (DOC), inorganic carbon (DIC) and silica (DSi) along the salinity gradient of three south-west Indian monsoonal estuaries are presented. This study showed both conservative and non-conservative behaviour of DOC along the salinity gradient under varying physico-chemical conditions. The gross flux of DOC arriving at the estuary from the rivers was estimated as 0.9 × 109 g/yr for Sita-Swarna river, 4.2 × 109 g/yr for Sharavati river and 5.6 × 109 g/yr for Kali river. Similarly, the net fluxes of DOC estimated beyond the estuarine zone was 5.5 × 109 g/yr (Sita-Swarna), 8.0 × 109 g/yr (Sharavati) and 7.7 × 109 g/yr (Kali). This indicates that these estuaries are the sources of organic carbon to the ocean. The DIC linearly increased towards the higher salinity with net fluxes of 38 × 109 g/yr (Sita-Swarna), 75 × 109 g/yr (Sharavati) and 97 × 109 g/yr (Kali). The combined DIC flux of Sita-Swarna, Sharavati and Kali rivers is ~8% of the total DIC fluxes received from the west flowing rivers of India, to the Arabian Sea. The DSi showed a biogenic removal of 80-85% in all the studied estuaries. From this study it is concluded that the west flowing river estuaries are net sources of DOC and DIC and net sink for DSi. Consideration of the role of west flowing rivers of peninsular India is important for the better understanding of the carbon dynamics in the river-estuary-ocean boundary.Fire is one of the most powerful modifiers of the Amazonian landscape and knowledge about its drivers is needed for planning control and suppression. A plethora of factors may play a role in the annual dynamics of fire frequency, spanning the biophysical, climatic, socioeconomic and institutional dimensions. To uncover the main forces currently at play, we investigated the area burned in both forested and deforested areas in the outstanding case of Brazil's state of Acre, in southwestern Amazonia. We mapped burn scars in already-deforested areas and intact forest based on satellite images from the Landsat series analyzed between 2016 and 2019. The mapped burnings in already-deforested areas totalled 550,251 ha. In addition, we mapped three forest fires totaling 34,084 ha. Fire and deforestation were highly correlated, and the latter occurred mainly in federal government lands, with protected areas showing unprecedented forest fire levels in 2019. These results indicate that Acre state is under increased fire risk even during average rainfall years.