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Against the backdrop of urban sustainable development around the world, how to coordinate both economic growth and ecological benefits in urban space becomes an important problem. Therefore, this study simulated and predicted the spatiotemporal changes in urban economy and ecosystem service value (E.S.V.) equivalent ratio under the current policies by 2030, and analysed how adjusting planning policies influences economy and ecology. This process was based on the future land use simulation (F.L.U.S.) model of coupled neural network, and on methods assessing the spatial changes in ecosystem services and land economy. This study aims to analyse urban land economy and E.S.V., and assess how China's land spatial planning guides and promotes high-quality urban economic development. Results show that artificial intelligence (A.I.) simulation can forecast the results of spatial planning policies of national lands, to make policy-making more forward-looking. The guidance of planning policies on urban expansion accelerates the increase in economic value of urban residential and commercial lands, thereby promoting the economic growth. However, adjusted planning policies may lead to ecological destruction. So, this study provides model verifications and path guidance to realise coordinated sustainable development between economy and ecology, serving as an important reference to formulating proper policies for urban development. [ABSTRACT FROM AUTHOR]

The metro station ridership features are associated significantly with the built environment factors of the pedestrian catchment area surrounding metro stations. The existing studies have focused on the impact on total ridership at metro stations, ignoring the impact on varying patterns of metro station ridership. Therefore, the reasonable identification of metro station categories and built environment factors affecting the varying patterns of ridership in different categories of stations is very important for metro construction. In this study, we developed a data-driven framework to examine the relationship between varying patterns of metro station ridership and built environment factors in these areas. By leveraging smart card data, we extracted the dynamic characteristics of ridership and utilized hierarchical clustering and K-means clustering to identify diverse patterns of metro station ridership, and we finally identified six main ridership patterns. We then developed a newly built environment measurement framework and adopted multinomial logistic regression analysis to explore the association between ridership patterns and built environment factors. (1) The clustering analysis results revealed that six station types were classified based on varying patterns of passenger flow, representing distinct functional characteristics. (2) The regression analysis indicated that diversity, density, and location factors were significantly associated with most station function types, while destination accessibility was only positively associated with employment-oriented type stations, and centrality was only associated with employment-oriented hybrid type station. The research results could inform the spatial planning and design around metro stations and the planning and design of metro systems. The built environment of pedestrian catchment areas surrounding metro stations can be enhanced through rational land use planning and the appropriate allocation of urban infrastructure and public service facilities. [ABSTRACT FROM AUTHOR]

Wheat head blight caused mainly by Fusarium graminearum, is an important wheat disease, causing yield and quality losses. The breeding of resistant varieties is the key measure to control this disease, but the conventional breeding method is of low efficiency. The marker-assisted selection (MAS) can significantly improve the breeding efficiency. In this study, four RAPD (randomly amplified polymorphic DNA) markers linked to FHB resistance were obtained and one was cloned and sequenced. F7 recombinant inbred lines (RILs) were derived from the F1 of the cross Ning894037 (resistant)/Alondra (susceptible) by the single-seed descent method. Scab resistance of F7 RILs was evaluated in the greenhouse by injecting conidiospores into a central floret. Scab symptoms were evaluated on the 21st day after inoculation. Disease severity was assessed as the percentage of infected spikelets/spike. The F7 RIL population displayed a normal distribution, transgressive segregation and significant variation for FHB severity. DNA from resistant and susceptible parents was analyzed with 520 RAPD primers. Four markers (S1384-640,S1360-600, S1319-350,S1319-820) linked to FHB resistance were obtained. DNA of S1384-640 was recovered, subjected to re-amplification by using S1384 primer and the same protocol as for RAPD analysis and identified the rightness. The PCR product of S1384-640 was ligated into the pUCm-T vector, and cloned into fresh competent cells of Escherichia coli strain DH5alpha RAPD analysis showed that the inserts of the recombinant plasmids were DNA of S1384-640. The sequencing result showed that the cloned fragment was 648 bp.