This paper firstly investigated the land-use and land-cover change （LUCC） in the Hun-Taizi River water- shed, Northeast China from 1988 to 2004 based on remotely sensed images and geographic information systems （GI...This paper firstly investigated the land-use and land-cover change （LUCC） in the Hun-Taizi River water- shed, Northeast China from 1988 to 2004 based on remotely sensed images and geographic information systems （GIS） technology. Then, using the famous land-use change model of Conversion of Land Use and its Effects at Small re- gional extent （CLUE-S）, this paper simulated the land use changes under historical trend （HT）, urban planning （UP） and ecological protection （EP） scenarios considering urban planning and ecological protection over the next 20 years. The simulated results under UP scenario in 2020 were compared with the planning map to assess the feasibility of us- ing land-use change model to guide regional planning. Results show that forest land, dry farmland, paddy, and shrub land were the main land-use categories. Paddy and dry farmland being converted to urban area and rural settlement characterized the land-use change from 1988 to 2004. The main land-use categories changed over time. Landscape-pattem fragmentation will be worse under HT and UP scenarios, but better in EP scenario. The comparing results of simulated map with planning map in 2020 show that land-use change model is powerful tool to guide regional planning. Land-use scenarios can support regional planning and policy-making through analyzing future consequences scientifically.展开更多
光伏+生态修复的能源化矿山生态修复模式为纾解光伏发展用地困境、解决大面积矿山废弃地亟待修复的需求提供了突破口。本研究以辽宁省中部某矿区为例,构建林光互补、农光互补和草光互补3种光伏+矿山生态修复模式,结合生命周期评价方法,...光伏+生态修复的能源化矿山生态修复模式为纾解光伏发展用地困境、解决大面积矿山废弃地亟待修复的需求提供了突破口。本研究以辽宁省中部某矿区为例,构建林光互补、农光互补和草光互补3种光伏+矿山生态修复模式,结合生命周期评价方法,核算光伏发电系统碳减排量和生态系统增汇量,评估光伏+矿山生态修复的减碳增汇潜力。结果表明:光伏+矿山生态修复模式下,矿山年均减碳增汇量为514.93 t CO_(2)·hm^(-2),每兆瓦光伏电站年均减碳量为1242.94 t CO_(2)。该矿区若采用光伏+生态修复模式,25年计入期内减碳增汇总量630.43~779.24万t CO_(2)。光伏+矿山生态修复模式的减碳增汇量主要源于光伏清洁发电产生的碳减排,占比96.4%~99.4%,生态系统增汇量贡献较小,仅占总量的0.6%~3.7%。光伏+不同修复模式下的减碳增汇潜力不同,其中,林光互补减碳增汇潜力最大(711.89万t),其次为农光互补(704.07万t),草光互补减碳增汇潜力最小(697.98万t)。构建“光伏+矿山生态修复”模式可有效发挥光伏发电的减碳及矿山生态修复的增汇双重效益,助力我国碳中和目标实现。展开更多
Soil in greenhouses is likely to suffer a gradual decline in aggregate stability. Determination of the effects of different fertiliser practices on soil aggregate stability is important for taking advantage of solar g...Soil in greenhouses is likely to suffer a gradual decline in aggregate stability. Determination of the effects of different fertiliser practices on soil aggregate stability is important for taking advantage of solar greenhouses. Soil aggregate stability and iron （Fe） and aluminium （A1） oxide contents were investigated in a 26-year long-term fertilisation experiment in greenhouse in Shenyang, China, under eight fertiliser treatments： manure （M）, fertiliser N （FN）, fertiliser N with manure （MN）, fertiliser P （FP）, fertiliser P with manure （MP）, fertiliser NP （FNP）, fertiliser NP with manure （MNP）, and control without any fertiliser （CK）. A wet sieving method was used to determine aggregate size distribution and water-stable aggregates （WSA）, mean weight diameter and geometric mean diameter as the indices of soil aggregate stability. Different fertiliser treatments had a statistically significant influence on aggregate stability and Fe and A1 oxide contents. Long-term application of inorganic fertilisers had no obvious effects on the mass proportion of aggregates. By contrast, manure application significantly increased the mass proportion of macroaggregates at the expense of microaggregates. All treatments, with the exception of FNP, significantly increased the stability of macroaggregates but decreased that of microaggregates when compared with CK. Aggregation under MP and MN was better than that under M and MNP; however, no significant differences were found among inorganic fertiliser treatments （i.e., FN, FP, and FNP）. A positive relation was found between pyrophosphate-extractable Fe and WSA （r=0.269）, but no significant relations were observed between other Fe and Al oxides and aggregate stability.展开更多
The SLEUTH urban growth model was used to simulate future urban growth patterns and to explore potential environ-mental impacts of urban development under different conditions of development in Shenyang City, China. T...The SLEUTH urban growth model was used to simulate future urban growth patterns and to explore potential environ-mental impacts of urban development under different conditions of development in Shenyang City, China. The SLEUTH model was calibrated with historical data (1988-2004) extracted from a time series of TM satellite images, and the future growth was pro-jected out to 2030 assuming three different policy scenarios: (1) current trends scenario (Scenario CT), (2) regional policy and ur-ban planning scenario (Scenario PP), and (3) environmental protection scenario (Scenario EP). Scenario analysis showed that urban growth would accelerate under all policy scenarios with significant differences in development pattern and sustainability after 2016. Urban development under Scenario CT would lead to substantial loss of resource lands than that under the other two scenarios, and the urban landscape pattern would be increasingly complex and dispersed. In contrast, urban growth under scenario PP and EP would consume less natural resource land and show a relatively compact urban development pattern during the prediction period. This study suggested that it is crucial to take stringent urban planning and management measures to control future urban growth and to protect primary farmland and the support system of urban ecology in Shenyang City. The SLEUTH model is a useful planning tool to guide sustainable utilization of urban land resources to a certain extent.展开更多
基金Under the auspices of National Natural Science Foundation of China(No.40801069)Special Research Program for Public-welfare Forestry of China(No.200804001)
文摘This paper firstly investigated the land-use and land-cover change （LUCC） in the Hun-Taizi River water- shed, Northeast China from 1988 to 2004 based on remotely sensed images and geographic information systems （GIS） technology. Then, using the famous land-use change model of Conversion of Land Use and its Effects at Small re- gional extent （CLUE-S）, this paper simulated the land use changes under historical trend （HT）, urban planning （UP） and ecological protection （EP） scenarios considering urban planning and ecological protection over the next 20 years. The simulated results under UP scenario in 2020 were compared with the planning map to assess the feasibility of us- ing land-use change model to guide regional planning. Results show that forest land, dry farmland, paddy, and shrub land were the main land-use categories. Paddy and dry farmland being converted to urban area and rural settlement characterized the land-use change from 1988 to 2004. The main land-use categories changed over time. Landscape-pattem fragmentation will be worse under HT and UP scenarios, but better in EP scenario. The comparing results of simulated map with planning map in 2020 show that land-use change model is powerful tool to guide regional planning. Land-use scenarios can support regional planning and policy-making through analyzing future consequences scientifically.
文摘光伏+生态修复的能源化矿山生态修复模式为纾解光伏发展用地困境、解决大面积矿山废弃地亟待修复的需求提供了突破口。本研究以辽宁省中部某矿区为例,构建林光互补、农光互补和草光互补3种光伏+矿山生态修复模式,结合生命周期评价方法,核算光伏发电系统碳减排量和生态系统增汇量,评估光伏+矿山生态修复的减碳增汇潜力。结果表明:光伏+矿山生态修复模式下,矿山年均减碳增汇量为514.93 t CO_(2)·hm^(-2),每兆瓦光伏电站年均减碳量为1242.94 t CO_(2)。该矿区若采用光伏+生态修复模式,25年计入期内减碳增汇总量630.43~779.24万t CO_(2)。光伏+矿山生态修复模式的减碳增汇量主要源于光伏清洁发电产生的碳减排,占比96.4%~99.4%,生态系统增汇量贡献较小,仅占总量的0.6%~3.7%。光伏+不同修复模式下的减碳增汇潜力不同,其中,林光互补减碳增汇潜力最大(711.89万t),其次为农光互补(704.07万t),草光互补减碳增汇潜力最小(697.98万t)。构建“光伏+矿山生态修复”模式可有效发挥光伏发电的减碳及矿山生态修复的增汇双重效益,助力我国碳中和目标实现。
基金supported by the National Natural Science Foundation of China(No.31171997)the Fifth Session of Geping Green Action-123 Project of Liaoning Environmental Research and Education,China(No.CEPF2012-123-1-4)the Innovative Graduate Training Program of Shenyang Agricultural University of China
文摘Soil in greenhouses is likely to suffer a gradual decline in aggregate stability. Determination of the effects of different fertiliser practices on soil aggregate stability is important for taking advantage of solar greenhouses. Soil aggregate stability and iron （Fe） and aluminium （A1） oxide contents were investigated in a 26-year long-term fertilisation experiment in greenhouse in Shenyang, China, under eight fertiliser treatments： manure （M）, fertiliser N （FN）, fertiliser N with manure （MN）, fertiliser P （FP）, fertiliser P with manure （MP）, fertiliser NP （FNP）, fertiliser NP with manure （MNP）, and control without any fertiliser （CK）. A wet sieving method was used to determine aggregate size distribution and water-stable aggregates （WSA）, mean weight diameter and geometric mean diameter as the indices of soil aggregate stability. Different fertiliser treatments had a statistically significant influence on aggregate stability and Fe and A1 oxide contents. Long-term application of inorganic fertilisers had no obvious effects on the mass proportion of aggregates. By contrast, manure application significantly increased the mass proportion of macroaggregates at the expense of microaggregates. All treatments, with the exception of FNP, significantly increased the stability of macroaggregates but decreased that of microaggregates when compared with CK. Aggregation under MP and MN was better than that under M and MNP; however, no significant differences were found among inorganic fertiliser treatments （i.e., FN, FP, and FNP）. A positive relation was found between pyrophosphate-extractable Fe and WSA （r=0.269）, but no significant relations were observed between other Fe and Al oxides and aggregate stability.
基金Supported by the National Key Technology R&D Program (No.2006BAJ10B05)the National Natural Science Foundation of China (No.30800149)
文摘The SLEUTH urban growth model was used to simulate future urban growth patterns and to explore potential environ-mental impacts of urban development under different conditions of development in Shenyang City, China. The SLEUTH model was calibrated with historical data (1988-2004) extracted from a time series of TM satellite images, and the future growth was pro-jected out to 2030 assuming three different policy scenarios: (1) current trends scenario (Scenario CT), (2) regional policy and ur-ban planning scenario (Scenario PP), and (3) environmental protection scenario (Scenario EP). Scenario analysis showed that urban growth would accelerate under all policy scenarios with significant differences in development pattern and sustainability after 2016. Urban development under Scenario CT would lead to substantial loss of resource lands than that under the other two scenarios, and the urban landscape pattern would be increasingly complex and dispersed. In contrast, urban growth under scenario PP and EP would consume less natural resource land and show a relatively compact urban development pattern during the prediction period. This study suggested that it is crucial to take stringent urban planning and management measures to control future urban growth and to protect primary farmland and the support system of urban ecology in Shenyang City. The SLEUTH model is a useful planning tool to guide sustainable utilization of urban land resources to a certain extent.
