Global warming has brought increased attention to the relationship between carbon emissions and economic development. Research on the driving factors of carbon emissions from energy consumption can provide a scientific basis for regional energy savings, as well as emissions reduction and sustainable development. Henan Province is a major agricultural province in China, and it is one of most populous provinces. Industrial development and population growth are the causes of carbon emissions. The STIRPAT model was conducted for analyzing carbon emissions and the driving factors for future carbon emission in Henan Province. The results show that: carbon emissions and energy consumption in Henan Province presented a rising trend from 1995 to 2014; Energy consumption due to population growth is the main contributor to carbon emissions in Henan Province. As every 1% increase in the population, GDP per-capita, energy intensity, and the level of urbanization development will contribute to the growth of emissions by 1.099, 0.193, 0.043, and 0.542%, respectively. The optimization of the industrial structure can reduce carbon emissions in Henan Province, as suggested by the results, when the tertiary sector increased by more than 1%, the total energy consumption of carbon emissions reduced by 1.297%. The future pattern of carbon emissions in Henan Province is predicted to increase initially and then follows by a decreasing trend, according to scenario analysis; and maintaining a low population growth rate, and a high growth rate of GDP per-capita and technical level is the best mode for social and economic development.
Vegetation restoration has been recognized as an effective ecological measure to mitigate soil heavy metal contamination in open-pit mining areas. However, little is known about the processes of accumulation and translocation of heavy metals in naturally restored soil-plant systems in these areas. In this study, soil and plant samples were collected from three natural restoration sites of different post-mining ages (2, 7, and 15 years) to investigate the concentration, accumulation, and translocation of heavy metals in plant tissues (roots, stems, and leaves) of two different plant life forms (trees and shrubs). The results showed that heavy metals occurred at different concentrations in different tissues; and that site age significantly affected the concentration of metals, with higher concentration in older sites. Similarly, the accumulation of metals from soil to roots and the translocation from roots to stems were greater in older sites. We combined redundancy analysis, correlation analysis and multiple regression analysis to determine the effect of environmental factors on accumulation and translocation. Results showed that plant life form took the largest weight for accumulation of Pb, Ni, Cd, and Cr, and for translocation of Ni, Cu, and Zn. Site age made the highest contribution to accumulation of As, and to translocation of Hg and Cd. The accumulation of Hg and translocation of Pb, As, and Cr were most affected by total phosphorus. Soil pH was the major contributor to accumulation of Cu and Zn. These findings could provide some reference for post-mining soil remediation, particularly for gold mines. K E Y W O R D S heavy metals, plant life form, plant tissues, post-mining sites, site age 1 | INTRODUCTION Mining activities have been recognized as the major driver associated with soil degradation (Acosta et al., 2011; Food and Agriculture Organization, 2015). In particular, heavy metal contamination of soils (e.g., Pb, Hg, Cd), which is harmful to environmental and human health, has been identified as one of the primary threats posed by mining activities (Li, Ma, Kuijp, Yuan, & Huang, 2014). It is estimated that the area of land contaminated by heavy metals resulting from mining activities has reached 1.5 million ha in China, and this area is increasing at a rate of 46,700 ha yr −1 (Zhuang, McBride, Xia, Li, & Li, 2009). Mining for gold is particularly bad for heavy metal contamination (such as Pb, Hg, As, Ni, Cd, Cr, Cu, and Zn), where over 99% of waste materials contain at least
The cover image is based on the Original Article Effects of vegetation restoration on accumulation and translocation of heavy metals in post‐mining areas by Mingzhou Qin et al., https://doi.org/10.1002/ldr.3861.
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