Research framework

研究框架
  • 文章类型: Case Reports
    生态系统服务(ESs)的供需是生态安全模式(ESP)与人类福祉之间的桥梁。本研究提出了“供给-需求-走廊-节点”的ESP研究框架,中国,作为一个研究案例,为构建ESP提供了新的视角。该框架分为四个部分:根据ESs供应确定生态源;利用多源经济社会数据来表征ESs的需求并构建阻力面;通过使用LinkageMapper来定义研究区域的生态走廊;并确定沿生态走廊的关键生态保护/恢复区域。结果表明,徐州市ESs供应源面积为573.89km2,占全市总面积的5.19%。105个生态廊道的空间分布显示,城市中部存在多个密集的生态廊道,但在西北部和东南部很少。共有14个生态保护区主要位于市区南部,10个生态修复区主要位于市区中部和北部,总面积4.74km2。本文的研究结果将有助于发展ESPs和确定徐州重要的生态保护/恢复区域,中国。该研究框架可能用于其他领域。
    The supply-demand for ecosystem services (ESs) is the bridge between ecological security patterns (ESPs) and human wellbeing. This study proposed a research framework of ESP of \"supply-demand-corridor-node\" and took Xuzhou, China, as a research case, providing a new perspective for the construction of ESPs. The framework was divided into four sections: identifying the ecological source based on the ESs supply; utilizing multi-source economic-social data to characterize the demand of ESs and constructing a resistance surface; defining the ecological corridor in the study area by employing the Linkage Mapper; and identifying crucial ecological protection/restoration areas along the ecological corridor. The results showed that the area of the supply source of ESs in Xuzhou City is 573.89 km2, accounting for 5.19% of the city\'s total area. The spatial distribution of 105 ecological corridors revealed that there were multiple and dense ecological corridors in the middle of the city, but few in the northwest and southeast. A total of 14 ecological protection areas were located primarily in the south of the urban area, and 10 ecological restoration areas were located primarily in the middle and north of the urban area, with a total area of 4.74 km2. The findings of this article will be useful in developing ESPs and determining important ecological protection/restoration areas in Xuzhou, China. The research framework could potentially be used in other areas.
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  • 文章类型: Journal Article
    We aimed to estimate the frequency of each AT(N) (β-amyloid deposition [A], pathologic tau [T], and neurodegeneration [N]) profile in different clinical diagnosis groups and to describe the longitudinal change in clinical outcomes of individuals in each group.
    Longitudinal change in clinical outcomes and conversion risk of AT(N) profiles are assessed using linear mixed-effects models and multivariate Cox proportional-hazard models, respectively.
    Participants with A+T+N+ showed faster clinical progression than those with A-T-N- and A+T±N-. Compared with A-T-N-, participants with A+T+N± had an increased risk of conversion from cognitively normal (CN) to incident prodromal stage of Alzheimer\'s disease (AD), and from MCI to AD dementia. A+T+N+ showed an increased conversion risk when compared with A+T±N-.
    The 2018 research framework may provide prognostic information of clinical change and progression. It may also be useful for targeted recruitment of participants with AD into clinical trials.
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