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地缘环境研究已经成为当前国内地缘政治研究的重点方向,汇聚了国内地缘政治研究力量,推动了国内地缘政治学科的复兴。本文在总结分析国内外地缘政治、地缘环境相关研究最新发展和趋势的基础上,集中探讨了地缘环境研究的理念、议程与路径。地缘环境研究理念是以多元地缘体间互动实践为中心,将地缘环境理解为多元地缘体互动实践的“信息”或称决策信息集,也是多元地缘体互动的结果。因此,地缘体行动决策既有在完备信息下的决策,也有在不完备信息下的决策,甚至还有在不能甄别信息真假情况下的决策。在此新理念下,地缘环境研究大致包括地缘环境要素解析（本底、关联、结构3类要素）、地缘环境时空过程与机制表达和地缘环境支撑体系设计三大研究议程。为了整合不同领域、不同尺度和多元行为体,论文以缅北冲突为例展现了地缘环境研究的三大路径,即跨领域互动、跨尺度耦合和多元地缘体博弈。在当今百年变局的复杂形势下,明晰地缘环境研究的理念、议程与路径,对准确、科学分析当前复杂局势和提出中国应对策略等具有重要的理论价值和现实意义。 相似文献
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2021年2月缅甸军方再度接管国家政权后,其国内民主化改革进程戛然而止,再次引发学术界的广泛关注和讨论。然而,已有学者大多从政治、经济等单一性要素,或从多行为体间利益斗争的视角入手,缺乏多要素、多主体、多时空维度的综合分析视角对民主化改革进程的影响和未来前景的研究。随着地缘环境研究日益体现出跨尺度耦合、多元地缘体博弈和跨领域间互动等分析理念,本文将国别地缘环境分析理解为一个视角,构建其解读民主化改革的一般思路和框架;以缅甸为例,探讨不同时期缅甸地缘环境的情景特征及其对民主化改革进程的影响并预测其未来态势。研究得出：① 国别地缘环境视角可以被界定为跨尺度耦合下国内外多元地缘体利用跨领域间互动进行综合作用的情景分析。② 自1980年代以来,由于缅甸地缘环境从内乱外压、外压内稳到外稳内乱的演变,其民主化改革进程依次经历民主开启、转型过渡期、民主转型、民主巩固和民主倒退。③ 缅甸民主化改革的未来走向极为可能是在军方控制下民选政府与军方合作推进的适度改革。解析缅甸民主化改革进程不仅有利于帮助中国理解缅甸的政局变化进而构建和谐稳定的中缅关系,同时也能推动地缘环境的理论与应用研究,促进学术界对“应该推行怎样的民主化进程”这一问题的进一步思考。 相似文献
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R. Patrick Bixler 《社会与自然资源》2014,27(2):155-169
Decentralization of governance is an emerging trend in many natural resource sectors in both developed and developing countries. Despite the normative agenda of community-based natural resource management for social and ecological outcomes, a shift to multilevel or polycentric theorizing is warranted. Polycentric governance recognizes the importance of cross-scale interactions, as well as the horizontal and vertical institutional linkages of authority, networks, and markets in which community institutions are embedded. Based on qualitative community forestry research in Revelstoke, British Columbia, Canada, this article explores the themes of livelihood and local economy, collaborative forest planning and participation, and environmental governance. Bottom-up empirical evidence suggests that viewing community forestry through a polycentric governance network is necessary for theorizing complex cross-scale dynamics. Incentivizing policies that encourage the development of polycentric systems for natural resource governance is important for maintaining local benefits, while increasing adaptive capacity to deal with complex social–ecological challenges. 相似文献
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Multi-scale observation and cross-scale mechanistic modeling on terrestrial ecosystem carbon cycle 总被引：4，自引：0，他引：4
To predict global climate change and to implement the Kyoto Protocol for stabilizing atmospheric greenhouse gases concentrations require quantifying spatio-temporal variations in the terrestrial carbon sink accurately. During the past decade multi-scale ecological experiment and observation networks have been established using various new technologies (e.g. controlled environmental facilities, eddy covariance techniques and quantitative remote sensing), and have obtained a large amount of data about terrestrial ecosystem carbon cycle. However, uncertainties in the magnitude and spatio-temporal variations of the terrestrial carbon sink and in understanding the underlying mechanisms have not been reduced significantly. One of the major reasons is that the observations and experiments were conducted at individual scales independently, but it is the interactions of factors and processes at different scales that determine the dynamics of the terrestrial carbon sink. Since experiments and observations are always conducted at specific scales, to understand cross-scale interactions requires mechanistic analysis that is best to be achieved by mechanistic modeling. However, mechanistic ecosystem models are mainly based on data from single-scale experiments and observations and hence have no capacity to simulate mechanistic cross-scale interconnection and interactions of ecosystem processes. New-generation mechanistic ecosystem models based on new ecological theoretical framework are needed to quantify the mechanisms from micro-level fast eco-physiological responses to macro-level slow acclimation in the pattern and structure in disturbed ecosystems. Multi-scale data-model fusion is a recently emerging approach to assimilate multi-scale observational data into mechanistic, dynamic modeling, in which the structure and parameters of mechanistic models for simulating cross-scale interactions are optimized using multi-scale observational data. The models are validated and evaluated at different spatial and temporal scales and real-time observational data are assimilated continuously into dynamic modeling for predicting and forecasting ecosystem changes realistically. in summary, a breakthrough in terrestrial carbon sink research requires using approaches of multi-scale observations and cross-scale modeling to understand and quantify interconnections and interactions among ecosystem processes at different scales and their controls over ecosystem carbon cycle. 相似文献
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基于财富中国500强企业的中国城市群城市网络联系分析 总被引：1，自引：1，他引：0
现有城市网络研究多集中于城市联系及各城市群内部的空间关联,多以企业总分机构关系型数据研究中国城市网络结构,尚较少涉及中国城市群城市网络联系的整体认知。本文基于财富中国500强中的311家金融与专业性服务企业数据,分析中国19个城市群及41个主要城市间城市网络联系,借助企业在属地城市群层面的跨尺度空间表达,依据关系地理将城市群视为互相联系的空间集合,运用网络分析与互锁网络模型相结合的方法,重点分析城市群金融与专业服务业城市网络联系。结论如下：一方面,中国城市群整体形成以京津冀、长三角、珠三角、成渝、山东半岛与长江中游城市群为核心的空间组织体系,并与国家中心城市分布特征一致。关中平原、辽中南、滇中等13个城市群为非核心层级空间组织,是中国城市群空间拓展的重要支撑。另一方面,城市群城市网络联系依赖于金融及专业性服务要素高效优化配置,城市群对外联系范围决定了该城市群对各类服务要素流的控制与配置能力,进而影响其发展地位。其中,京津冀城市群主导商业银行、多元金融投资、保险、会计和律师事务形成的城市网络联系,长三角城市群以绝对优势主导证券企业城市网络联系,长三角、成渝、珠三角城市群共同主导着广告代理、管理咨询企业间的城市网络联系。本文尝试以城市群关系邻近性认知企业行动与城市群间的跨尺度空间联系互馈机理,认为城市群间水平联系对中国城市群城市网络具有重要作用,为国家制定城市群相关政策提供参考。 相似文献
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现代珠江三角洲经历了从溺谷湾到三角洲的形成演变,富有区域特色.本文提出百余年来珠江三角洲的研究可归纳为4种范式:历史描述、实地考察-学术推理、器测-学科理论和"动力-沉积-地貌"跨尺度范式,各以范例说明.基于笔者及其团队研究,对现有文献关于珠江三角洲形成演变若干重要观点提出不同意见并从多视角作必要辨析,包括:海侵盛期以... 相似文献
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