面向治理的地理学发展刍议

“四个面向”（面向世界科技前沿、面向经济主战场、面向国家重大需求、面向人民生命健康）已成为新时代中国科学发展的指针。治理是一个反映“四个面向”的国际前沿研究领域,也是地理学和其他学科研究的焦点。围绕地理学如何应对治理这一关键问题,基于人地耦合的理念,系统梳理国内外地理学进行治理研究的轨迹与特点,从价值、思想、方法、技术4个维度发掘面向治理的地理学发展路径,紧密联系地理学发展动态及治理现代化的实践,从基础研究、平台建设、人才培育3个方面提出发展策略。提升中国地理学在国际治理研究中的影响力,促进地理学与其他学科的交叉融合,将自然与人文有机结合的理念应用于社会治理,增进居民福祉,并服务国家战略和区域可持续发展。     

空间视角下城乡物流网络的内涵、构成要素与研究框架

地理学视角的物流网络研究已成为物流科学领域的热点方向。从地理学的空间视角出发,在明确城乡物流网络理论来源和相关概念的基础上,对城乡物流网络的内涵、构成及研究框架进行梳理。基于研究,首先给出了城乡物流网络的定义,认为城乡物流网络的本质是旧的城市物流网络和乡村物流网络在空间上的延伸、衔接和提效。其次,从空间视角将城乡物流网络分解为节点、连线和域面3要素,指出网络各要素均出现了功能强化和更新,如节点的管理、衔接和经济社会功能强化;连线的联结功能和平衡功能出现,域面的协同组织、动态调整功能突出。最后,遵循地理学“格局-过程-机理-决策”的科学逻辑,提出“数据采集与融合、要素映射与解析、时空比较与分析、机理探究与优化”4个模块的城乡物流网络分析框架,为深刻揭示城乡物流网络结构及其演化机理提供基础。进一步指出未来应探讨城乡物流节点、连线、域面及网络的地区类型、区域适宜性及要素间相互作用机制,提炼适应不同区域、能有效提升要素流通效应的多尺度空间组织模式,加强对城乡要素流通系统的科学认知,科学支撑城乡地域融合发展实践。     

The Econo-techno-social Design of Invasive Animal Management: costs and benefits or beneficiaries and benefactors?

This paper examines invasive animal management institutions, using theories at the interstices of anthropology and geography, to question current approaches to management based on neoclassical and neoliberal economic rationales. I present an analysis of two feral pig management regimes in Far North Queensland, Australia: (i) bounty systems of payment for feral pig control; and (ii) a community-based feral pig trapping program. I show how these management methods reshape important social and cultural processes through their overlapping technological and economic elements. On the basis of this analysis, I propose a conceptual framework for invasive animal management planning that incorporates a beneficiary–benefactor analysis alongside cost–benefit analyses. I argue that ecological-economic theories of pest management may be usefully enhanced by addressing the links between economic and social behaviours.     

Esophageal cancer spatial and correlation analyses：Water pollution,mortality rates,and safe buffer distances in China

Esophageal cancer exhibits one of the highest incidence and mortality rates in China. Malignant tumors caused by esophageal cancer, and the relationship to environmental factors has been the focus of many public health studies. This study applied spatial analysis to ascertain the relationship between water pollution and esophageal cancer mortality rates nationwide. We employed two datasets, including a national investigation of esophageal cancer rates and distribution, and national water quality grades in China's primary rivers and lakes. Esophageal cancer data were grouped based on different water quality grades, which included a scaled buffer distance from rivers and lakes. Non-parametric correlation analyses were performed to examine the presence or absence of the following correlations: (i) esophageal cancer mortality and buffer distance from rivers and lakes; and (ii) esophageal cancer mortality and water quality grade values. The present study revealed a significant positive correlation between widespread water pollution and esophageal cancer mortality nationwide; and a significant negative correlation between esophageal cancer mortality, and buffer distance from rivers and lakes.     

Terrestrial surface-area increment: the effects of topography,DEM resolution,and algorithm

The area increment of land surface compared with its projected area is an effect of topographic relief and is also a source of environmental variations. To examine the effects of topography and data resolution on surface area calculation, we calculated incremental area coefficients (IACs), based on two different algorithms, for a DEM of China at a series of spatial resolutions. Sampling the DEM with a regional network of 50?km?×?50?km cell size, we explored the relationships among the two IACs and topographic features. Both IACs studied were exponential functions of resolution. At 30-m resolution, the IACs were 4.31 and 4.89% over China, respectively. The largest increment for a 50?km?×?50?km cell was >45%. Between the IACs there was a linear relationship that varied with DEM resolution. Hierarchical variation partitioning revealed that the factors included contributed in a very similar percentage composition to the two IACs, mean slope (37.5 or 38.7%) and standard deviation of slope (22.3 or 19.6%) at local scale dominated the area increment, followed by regional elevation range. Data resolution contributed about 10%, while the deviation of slope exposure only had minimal (1.4 or 1.7%) impact on surface-area increment. For a specific type of geomorphology, a threshold resolution of DEM can be determined, below which the surface-area increment (i.e., IAC) is negligible. Our results provided the first comprehensive estimate of the contributions of the topographic features, DEM resolution, and algorithms for the surface-area increment, and indicated the scale-related properties and potential environmental consequences of topographic heterogeneity in various estimates of natural resources and ecosystem functions when area needs to be taken into account.     

Ecological Modernization or Aristocratic Conservation? Exploring the Impact of Affluence on Carbon Emissions at the Local Level

Social scientists have debated how affluence impacts carbon emissions at the national level. We conduct an exploratory study at the subnational level to expose another dimension of the affluence–emissions debate. Based on the notion of aristocratic conservation, we hypothesize that affluence is positively related to carbon emissions from consumption activities but negatively related to emissions from production activities. We test these hypotheses using county-level data in the United States for the year 2002. A spatial regression analysis demonstrates that median household income is positively associated with consumption-based emissions; nevertheless, we find evidence of an environmental inequality Kuznets curve in the relationship between median household income and production-based emissions. This finding suggests that the wealthiest counties are able to displace certain types of emissions, specifically those related to energy and industrial production. We discuss the theoretical and political implications of these results.     

东北地区风能资源空间分布特征与模拟

利用东北地区104个气象站1991~2010年观测资料和70个测风塔2009年6月~2010年5月测风资料,进行了风能资源空间分布特征分析,并利用中尺度模式WRF进行风能资源空间模拟,以研究观测站点稀少地区的风能资源分布特征。研究结果表明:1东北地区气象站和测风塔揭示的大风区域主要分布在平原和丘陵的高海拔地带。2中尺度模式WRF能够较好地模拟东北区域风速分布的气候特征,模拟结果既反映出平原大面积的大风区域,也可反映出山区因地形起伏造成的风速空间分布差异。3对风能资源参数模拟结果进行海拔高度订正,可以进一步提高模式计算结果的准确性和可靠性。4松嫩平原、辽河平原、三江平原70 m高度年平均风功率密度在300~500 W/m2之间,属于风能资源可利用区或较丰富区;在辽宁省西部、吉林省中部和黑龙江省中部丘陵以及东北地区东南部的呈东北-西南走向的中高山区的70 m年平均风功率密度可达300 W/m2以上,局部地方可达500 W/m2以上,风能资源丰富。     

基于Ripley’s K函数浙江城市空间格局及其影响分析

以Ripley′s K函数为核心,通过城市区位与规模联立估计、地理权重引入、全局函数分解等手段,研究2001~2010年浙江省已有县级及以上城市空间分布的总体及局部估计问题,探讨城市空间格局与特征,以期揭示边界效应和市场潜力对浙江城市空间格局的影响机理。结果表明:1浙江省城市区位与规模的空间格局不一致,即前者是分散分布而后者是集聚分布,且随着空间尺度的增加,其分散或集聚程度逐步加强。2无论是行政边界还是海岸线,对浙江省城市区位与规模的空间分布演化有一定的负向作用。空间尺度越大,边界负效应越强。3在城市化发展过程中,浙江形成了3个各具产业特色的块状组团式城市聚集区,但边界负效应会抑制它们的发展,此时杭州、宁波将承担起服务全省经济的重要职责。4浙江城市规模因受市场潜力因素的影响会出现空间分布不均衡性。城市规模与市场潜力显著正相关,其程度却随着空间尺度的增加而减小。     

梭梭(Haloxylon ammodendron)主根周围土壤特征

通过建立米级的空间尺度进行分层取样,研究了准噶尔盆地南缘建群种——梭梭(Haloxylon ammodendron)主根周围土壤的含水率、容重、pH值、电导率和养分含量的变化状况。结果表明:(1)土壤含水量在表层5cm处最小,土壤容重在0~40cm土层变动幅度不大,但随着与茎基垂线距离的增加,二者出现显著变化(p0.05)。(2)土壤pH值和电导率在主根区周围呈现聚集现象,最大聚集率均在0~1m圈层,但随着距离的增加,土层深度逐渐成为主导因素。(3)土壤养分在表层5cm处聚集,但水平聚集范围中除有机质和全氮可扩增到3~4m外,全磷和速效养分均在0~2m。本研究结论对于荒漠区耐盐性植被的合理密植有一定的理论意义。     

山东省县域经济时空分异演化特征研究

借助GeoDA软件,运用标准差、加权变异系数、库兹涅茨比率和空间自相关等分析方法,以山东省105个县域为研究单元,从时空双重维度着手,对山东省1995—2012年县域经济差异的时间演变趋势和空间格局分异特征进行定量分析。结果发现:时间序列上山东县域经济绝对差异显著扩大,相对差异缓慢上升,极化现象显著;从空间格局来看,山东县域经济存在明显的空间自相关性,总体呈现"大异质,小均质"的空间经济格局,东部县域发达而西部县域相对落后,县域间经济发展的空间依赖性呈现出由增强到减弱的趋势,县域经济发展遵循"积累循环"法则,空间自相关集聚模式具有较高的稳定性。