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    Analysis on the Spatio-temporal Patterns of Water Conservation Services in Beijing
    XU Jie,XIAO Yu,XIE Gaodi
    Journal of Resources and Ecology    2019, 10 (4): 362-372.   DOI: 10.5814/j.issn.1674-764X.2019.04.003
    Abstract405)   HTML15)    PDF (1651KB)(195)      

    The shortage of water resources is a key factor limiting the sustainable development of the economy and society in Beijing. This study analysed the spatiotemporal patterns of Beijing’s water conservation services (WCS) based on the water balance equation at multiple scales, including city, main functional areas and key districts and counties, determined the differences in the water conservation amount among different land cover types and investigated the reasons for the spatiotemporal differences in the water conservation amount. The results indicated that: (1) compared to 2005, water conservation amount increased substantially in 2010. However, the overall water conservation capacity was low. (2) Among the various land cover types in Beijing, the average water conservation capacity decreased in the following order: wetland, forest, grassland, cropland, bare land and artificial surface. (3) The average water conservation amount in the main functional areas of Beijing varied substantially and was positive only in the ecological conservation area (ECA). (4) The water conservation capacity of each district and county varied substantially within ECA, among which the contribution of the forest in Miyun District, Huairou District and Pinggu District was the highest. The changes in the spatiotemporal patterns of Beijing’s WCS were the synthetic effects of changes in the land covers and meteorological conditions. This study is helpful in achieving the sustainable utilization of water resources in Beijing.

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    Study of the Population Carrying Capacity of Water and Land in Hainan Province
    HAO Qing,FENG Zhiming,YANG Yanzhao,YOU Zhen,CHENG Ping,DENG Ling
    Journal of Resources and Ecology    2019, 10 (4): 353-361.   DOI: 10.5814/j.issn.1674-764X.2019.04.002
    Abstract505)   HTML13)    PDF (832KB)(92)      

    In recent years, the rapid growth of population in Haikou and Sanya has caused extensive concern about the carrying capacity of Hainan Province. To formulate scientific population and environmental policies, it is necessary to research the relationship between population, carrying capacity and economic growth. In this paper, three indicators, grain production, nutrient composition of agricultural products and water resources, are used to measure carrying capacity quantitatively; the employment elasticity coefficient method is used to set the employment elasticity coefficient and the growth rate of regional GDP to estimate the total population needed to support economic growth; PADIS-INT population forecasting software that has parameters to track total fertility rate and net migration rate is used to predict demographic changes. The results show that, as of 2050, the total population of Hainan Province will not have exceeded the upper limit of the carrying capacity of land and water resources. In general, there is no overpopulation problem in the province, but there may be structural problems related to population, such as a large proportion of elderly people, labor shortages, and a high social dependency ratio. It is suggested that the local government should adopt positive population policies, improve the management of natural resources and the environment, and guide the balanced development of population in the province.

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    Farmland Abandonment Research Progress: Influencing Factors and Simulation Model
    SONG Wei,ZHANG Ying
    Journal of Resources and Ecology    2019, 10 (4): 345-352.   DOI: 10.5814/j.issn.1674-764X.2019.04.001
    Abstract907)   HTML876)    PDF (331KB)(235)      

    Farmland abandonment is a global problem and considered one of the most important areas in land use change research. Farmland abandonment research currently focuses on understanding the factors that affect farmland abandonment and developing scientific models to simulate farmland abandonment. The study reviewed the natural and political factors driving farmland abandonment and summarized the main models for farmland abandonment simulation together with their advantages and disadvantages. We discuss the main ecological effects of farmland abandonment and propose farmland abandonment research directions. The study found that: (1) the influence of labor cost change and ageing labor force on farmland abandonment needs further investigation, (2) simulation models for farmland abandonment must include the decision-making mechanism of individual farmers and focus on macro large-scale abandonment prediction models, and (3) the influence of farmland abandonment on landscape culture must be investigated in detail.

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