The international community is paying more attention to climate change because a consensus has been reached that climate change has an adverse effect not only on the environment but also on agriculture. Therefore, in this study, present and future climate datasets (obtained from general circulation models) including atmospheric carbon concentration were used to assess the impact of climate change on grain production for an important base of China (Northeast). An empirical model has been developed using climate and other additional variables (effective irrigation area, fertilizer, and labor force) to assess the effect of climate change on grain production. The results revealed that maximum temperature is a key climate determinant in grain production of the study area. Atmospheric carbon concentration showed a significant impact on grain outputs in most of the cases. During the analysis, it was observed that precipitation displayed a declining trend while an effective irrigation area showed positive non-significant contribution to grain production. Analysis based on different representative concentration pathways exhibited that maximum temperature may contribute negatively to grain production in the future. Overall, the analysis showed that climate change has a significant contribution to grain production. In conclusion, the implications for future research and policymakers have been addressed. Particularly, the importance of considering regional differences in adaptation planning in agricultural regions was also considered.
Environmental Science and Pollution Research - Vietnam has witnessed a rapid increase in national-level CO2 emissions due to rising urbanization, economic expansion, export growth, and industrial... 相似文献
Agricultural development has been an effective instrument for poverty alleviation and economic development in developing countries over the latter half of the twentieth century, and over 80 % of rural people globally still depend on agriculture for their living. However, issues such as water availability, land degradation and an increasing dependence on chemical fertilisers and pesticides continue to be on-going threats to sustainable agricultural development. These threats are being driven by the pressing need to ensure food security in the face of rapidly growing and urbanising populations. Developing countries will therefore continue to need improved methods for planning sustainable agricultural development. This paper presents a review of agricultural sustainability assessment in developing countries. The review highlights some of the key weaknesses that persist in sustainability assessment and the need to consider not only indicators of sustainability but also the drivers that influence indicator behaviour. We argue that without a good understanding of the drivers of sustainability and their systemic relationships to indicators, sustainability assessments run the risk of focusing on symptoms without addressing underlying causes of adverse indicator trends. Drivers of agricultural sustainability in developing countries encompass a range of demographic, natural, socio-economic, political, institutional and management factors. Understanding these and their relationships to sustainability indicators is needed in order to develop agricultural development policy that supports sustainability. The paper presents a conceptual framework for guiding systemic agricultural sustainability assessment and agricultural development planning in developing countries that includes both sustainability indicators and drives, and considers the broad relationships between them. 相似文献
Environmental Chemistry Letters - Because many engineered nanoparticles are toxic, there is a need for methods to fabricate safe nanoparticles such as plant-based nanoparticles. Indeed, plant... 相似文献
Covid-19 lockdowns have improved the ambient air quality across the world via reduced air pollutant levels. This article aims to investigate the effect of the partial lockdown on the main ambient air pollutants and their elemental concentrations bound to PM2.5 in Hanoi. In addition to the PM2.5 samples collected at three urban sites in Hanoi, the daily PM2.5, NO2, O3, and SO2 levels were collected from the automatic ambient air quality monitoring station at Nguyen Van Cu street to analyze the pollution level before (March 10th–March 31st) and during the partial lockdown (April 1st–April 22nd) with “current” data obtained in 2020 and “historical” data obtained in 2014, 2016, and 2017. The results showed that NO2, PM2.5, O3, and SO2 concentrations obtained from the automatic ambient air quality monitoring station were reduced by 75.8, 55.9, 21.4, and 60.7%, respectively, compared with historical data. Besides, the concentration of PM2.5 at sampling sites declined by 41.8% during the partial lockdown. Furthermore, there was a drastic negative relationship between the boundary layer height (BLH) and the daily mean PM2.5 in Hanoi. The concentrations of Cd, Se, As, Sr, Ba, Cu, Mn, Pb, K, Zn, Ca, Al, and Mg during the partial lockdown were lower than those before the partial lockdown. The results of enrichment factor (EF) values and principal component analysis (PCA) concluded that trace elements in PM2.5 before the partial lockdown were more affected by industrial activities than those during the partial lockdown.
Environmental Science and Pollution Research - This research developed an agent-based model (ABM) for simulating pollutant loads from pig farming. The behavior of farmer agents was captured using... 相似文献
Journal of Polymers and the Environment - This study attempted to develop carrageenan/chitosan based microparticles loading α-mangostin which was extracted from Vietnamese mangosteen skin. The... 相似文献
Journal of Material Cycles and Waste Management - As with any developing country, Vietnam has faced numerous challenges in the management and treatment of municipal solid waste (MSW).... 相似文献
