Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników

Znaleziono wyników: 6

Liczba wyników na stronie
Pierwsza strona wyników Pięć stron wyników wstecz Poprzednia strona wyników Strona / 1 Następna strona wyników Pięć stron wyników wprzód Ostatnia strona wyników

Wyniki wyszukiwania

help Sortuj według:

help Ogranicz wyniki do:
Pierwsza strona wyników Pięć stron wyników wstecz Poprzednia strona wyników Strona / 1 Następna strona wyników Pięć stron wyników wprzód Ostatnia strona wyników
In order to reveal the impact of forest coverage on runoff of the basin in the Loess Plateau of China, multi-year observational data were collected from 53 basins located in a typical loess area of the Loess Plateau of China. The impact was investigated using trend analysis, regression fitting, and serial cluster analysis. The results showed that 25% forest coverage is the partition point impacting the mean annual runoff coefficient, dividing the basins into two groups with forest coverage <25% and forest coverage ≥25%. For the former, the correlation between forest coverage and the mean annual runoff coefficient is very weak, while for the latter, the correlations conform to negative exponential function, the correlation is significantly negative at 0.01 level and the correlation coefficient is 0.614, and forest coverage has a relatively large impact on the mean annual runoff coefficient and that the mean annual runoff coefficient decreases significantly as forest coverage increases. Therefore, revegetation within 25% forest coverage will not have a large impact on local water resources, and the results provide some reference for revegetation in areas of the Loess Plateau of China.
The responses of antioxidative system and photosystem II photochemistry of rice (Oryza sativa L.) to paraquat induced oxidative stress were investigated in a chilling-tolerant cultivar Xiangnuo no. 1, and a chilling-susceptible cultivar, IR-50. Electrolyte leakage and malondialdehyde (MDA) content of Xiangnuo no. 1 were little affected by paraquat, but they increased in IR-50. After paraquat treatment, superoxide dismutase (SOD) activity remained high in Xiangnuo no. 1, while it declined in IR-50. Activities of catalase (CAT), ascorbate peroxidase (APX) and glutathione reductase (GR) declined with oxidative stress in both cultivars, but Xiangnuo no. 1 had higher GR activity than IR-50. Under paraquat induced oxidative stress, ascorbic acid (AsA) and reduced glutathione (GSH) concentrations remained high in Xiangnuo no. 1, but decreased in IR-50. The results indicated that higher activities of SOD and GR and higher contents of AsA and GSH in Xiangnuo no. 1 under paraquat induced oxidative stress were associated with its tolerance to paraquat, while paraquat induced damage to IR-50 was related to decreased activities of SOD, APX and GR and contents of AsA and GSH. Fv/Fm, ΦPSII, and qP remained high in Xiangnuo no. 1, while they decreased greatly in IR-50 under paraquat induced oxidative stress.
We based our research on real-time monitoring data for PM2.5 at the Beijing Municipal Environmental Protection Monitoring Center of Haidian Beijing Botanical Garden (a vegetated area), and at Haidian Wanliu (a non-vegetated area). By combining these two data points with the PM2.5 and meteorological data from a separate monitoring station in Beijing Botanical Garden’s forest interior, we analyzed the daily fluctuation, regional variation, and foliar adsorption characteristics of PM2.5 in varied environments (Feb.-Dec. 2013 and Jan.-Feb. 2014). Our results show a double peak and valley pattern of PM2.5 daily variation and daytime values greater than nighttime measurements. Average annual PM2.5 concentration values at different monitoring stations were Haidian Wanliu (100.61±26.49 μg·m-3), greater than at the Beijing Botanical Garden forest interior monitoring station (89.72±23.49 μg·m-3), and both greater than at Haidian Beijing Botanical Garden (77.72±23.37 μg·m-3). The maximum PM2.5 concentrations during 12 months were all in Haidian Wanliu (non-vegetated area), while the minimums were all in Haidian Beijing Botanical Garden (vegetated), Haidian Wanliu being 83.33% of the time higher in PM2.5 concentration than Beijing Botanical Garden forest interior. Possibly because of the trees, PM2.5 concentrations in the forest area were lower than that in the non-vegetated area. We find an average PM2.5 adsorption capacity per unit leaf area of 0.048±0.031 μg·cm-2 - 0.645±0.034 μg·cm-2 in May, and 0.058±0.006 μg·cm-2 - 0.887±0.014 μg·cm-2 in June for the 10 tree species included in our study. Of these 10, incense Cedrus deodara evidences the greatest adsorption and Sophora japonica shows the minimum. As a whole, conifers adsorb at 1.32 times the rate of broadleaf tree species, according to our data. PM2.5 adsorption capacity was greater in June (0.294±0.227 μg·cm-2) than in May (0.215±0.184 μg·cm-2). Daily and annual variation in different regions falls into a pattern where Haidian Wanliu pollution is greater than Beijing Botanical Garden forest interior monitoring station, and both are greater than Haidian Beijing Botanical Garden, which confirms the forest ecosystem’s involvement. It appears that the forest has many functions, including atmospheric purification by adsorption of PM2.5 and other particulates as evidenced by better air quality in forest areas than in non-vegetated sites. Furthermore, forest clearings show better air quality than the forest interior.
Lakes are one of the most important wetland types on the earth with many ecosystem functions. With continuing economic growth and climate change, lake abundance and surface areas throughout the world have been threatened by many factors, including by human and environmental disruptions. However, we still have limited knowledge on how human activities and climate change affect lake reductions and associated ecosystem services. Elucidating the underlying mechanisms of lake shrinkage will help maintain an ecological balance in urban planning, especially in rapidly developing countries. We explore the determinants of lake shrinkage and abundance reduction from the 1980s to the 2010s using remote sensing data of lakes in two large cities in eastern China: Nanchang and Shanghai. In order to account for the non-independence of time-series data, time series auto-regressive generalized least squares (GLS) models were used to examine the relationship between lake area/abundance and human activities and climate change. Our results show that human activities rather than climate change, are the most important determinants for the areas and numbers of lake shrinkage, and gross domestic product (GDP) and population size could explain more than half of the variation in the number and area of lakes with areas larger than 20 ha in the two cities. GDP and lake area shrinkage do not exhibit a linear relationship. This highlights the importance of wetland protection in the early development stage. Because the main determinants are human activities, cities have the ability to protect wetlands via suitable planning.
Pierwsza strona wyników Pięć stron wyników wstecz Poprzednia strona wyników Strona / 1 Następna strona wyników Pięć stron wyników wprzód Ostatnia strona wyników
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.