适应型城市:将适应气候变化与气候风险管理纳入城市规划

气候变化对城市规划提出新的要求,即:通过人口、土地等资源的时空配置,最大限度地减小城市面临的潜在气候风险。本文从"城市发展如何考虑气候变化与风险管理需求"这一核心问题出发,探讨了气候风险、气候风险管理及适应型城市的概念和内容,指出在中国城市化提升阶段,城市发展迫切需要加强气候风险管理的意识和能力。基于国外城市应对气候变化风险的实践与经验,提出将适应与气候风险管理纳入城市规划,提出构建适应型城市的几个要点。     

后危机时代的中小企业景气状况及其特征分析

文章通过对浙江省504家中小企业的问卷调查表明,与2009年相比,2010年、2011年中小企业景气指数明显回升,但总体水平仍然较低,并且2012年还将小幅走低。影响中小企业景气指数的因素依次为:国外订单、盈利能力、融资状况和投资意愿。企业规模越小,景气指数越低,其中,销售收入低于1000万元的小企业景气指数自2008年以来,持续下降;国内销售为主的企业,景气指数相对较低,并存在明显下降趋势;工艺品、金属制品行业景气指数较低,电器机械及器材行业景气指数略高。此外,国内外经济环境显著影响着景气指数,尤其国内经济环境对景气指数的影响较为明显。     

Climate change and tourism: a scientometric analysis using CiteSpace

The interaction between climate change and tourism has been one of the most critical and dynamic research areas in the field of sustainable tourism in recent years. In this paper, a scientometric analysis of 976 academic publications between 1990 and 2015 related to climate change and tourism is presented to characterize the intellectual landscape by identifying and visualizing the evolution of the collaboration network, the co-citation network, and emerging trends. The results show that the number of publications in this field has increased rapidly and it has become an increasingly interdisciplinary research subject. The most productive authors and institutions in this subject area are in Australia, USA, Canada, New Zealand, and European countries. In this paper, we identify the most pressing topics of climate change and tourism research, as represented in the existing literature, which include the consequences of climate change for tourism, necessary adaptations, the vulnerability of the tourism industry, tourist behaviour and demand in response to climate change, and emission reductions in the tourism sector. The paper presents an in-depth analysis of climate change and tourism research to better understand global trends and directions in this field that have emerged over the past 25 years.     

Developing energy conservation and carbon reduction indicators for the hotel industry in Taiwan

This study develops and weights energy conservation and carbon reduction (ECCR) indicators for the hotel industry in Taiwan to create an instrument to help address climate change. Eighteen semi-structured interviews were conducted with senior hotel managers, environmental specialists, and government officials to identify the preliminary ECCR framework. An expert panel then was invited to review the structure of ECCR criteria and the compiled criteria in a structure for item modification. An analytic network process questionnaire survey was employed to determine the relative weights of the criteria. The data analysis reveals seven categories in the ECCR framework: communication and participation, top management commitment, energy, water, waste, building, and purchasing. A total of 32 indicators were identified and prioritized in terms of their relative importance to ECCR contributions. The results of this study suggest that the success of ECCR implementation depends primarily on management support and staff engagement. Hotel operators can improve their environmental management by initiating ECCR practices based on the proposed ECCR indicators.     

Agriculture and global climate stabilization: a public good analysis

The stabilization of global climate presents one of the most complex problems in public good provision the world has faced. Continuation of “business as usual” policies, leading to warming of more than 2 degrees over the next year, will produce significant damage to agricultural systems and catastrophic damage to the natural ecosystems that ultimately support agriculture. The best solution to the public goods problem is a “contract and converge” agreement in which the ultimate outcome is a common global entitlement to CO₂ emissions per person.     

基于GRACE重力数据反演黄河流域陆地水储量变化

基于GRACE重力卫星数据反演黄河流域2002-2013年陆地水储量变化,并通过GLDAS验证GRACE反演结果。在此基础上采用皮尔逊相关系数法进一步探究陆地水储量与降水、气温、蒸散和植被NDVI的关系。结果表明:基于GRACE数据能够较好地反演陆地水储量; 2002-2013年间黄河流域的水储量以0.56 cm/a的速度减少,且具有明显的季节特征,水储量在1-6月呈亏损状态,7-12月呈盈余状态;对黄河流域水储量变化与降水、气温、蒸散和NDVI进行滞后性分析,表明其与降水、蒸散、NDVI有两个月的滞后效应,与气温为3个月。     

Impacts of Climate Change and Human Activities on the Surface Runoff in the Tarim River Basin over the Last Fifty Years

The impacts of climate change and human activities on the surface runoff were analyzed by the Mann–Kendall and trend analysis methods based on the hydrological, meteorological and socioeconomic data over the last 50 years in the Tarim River basin. Results show that the runoff in the headstreams increased but that in the mainstreams decreased significantly during the past 50 years. The former is a response to climate change, and the later is due to human activities. The surface runoff in the mainstreams decreased by 41.59, 63.77 and 75.15% in the 1970s, 1980s and 1990s, respectively, as compared to that without being disturbed by human activities in the same period. The main human activities are the irrigated agriculture combined with population increase in the region. As a consequence, the ecosystem in the lower reaches of Tarim River has degenerated, largely owing to inappropriate allocation of water resources.     

An assessment of the economic and environmental potential of biomass production in an agricultural region

The establishment of deep-rooted perennial species and their processing for biomass-based products such as renewable energy can have benefits for both local and global scale environmental objectives. In this study, we assess the potential economic viability of biomass production in the South Australian River Murray Corridor and quantify the resultant benefits for local and global scale environmental objectives. We model the spatial distribution of economically viable biomass production in a Geographic Information System and quantify the model sensitivity and uncertainty using Monte Carlo analysis. The total potentially viable area for biomass production under the Most Likely Scenario is 360,728 ha (57.7% of the dryland agricultural area), producing over 3 million tonnes of green biomass per annum, with a total Net Present Value over 100 years of A$ 88 million. The salinity in the River Murray could be reduced by 2.65 EC (μS/cm) over a 100-year timeframe, and over 96,000 ha of land with high wind erosion potential could be stabilised over a much shorter period. With sufficient generating capacity, our Most Likely Scenario suggests that economically viable biomass production could reduce carbon emissions by over 1.7 million tonnes per annum through the production of renewable energy and a reduced reliance on coal-based electricity generation. Our analyses suggest that biomass production is a potentially viable alternative agricultural system that can have substantial local scale environmental benefits with complimentary global scale benefits for climate change mitigation.     

Impacts of considering climate variability on investment decisions in Ethiopia

Extreme interannual variability of precipitation within Ethiopia is not uncommon, inducing droughts or floods and often creating serious repercussions on agricultural and nonagricultural commodities. A dynamic climate module is integrated into an economy‐wide model containing a detailed zonal level agricultural structure. This coupled climate‐economic model is used to evaluate the effects of climate variability on prospective irrigation and infrastructure investment strategies, and the ensuing country‐wide economy. The linkages between the dynamic climate module and the economic model are created by the introduction of a climate‐yield factor (CYF), defined at the crop level and varied across Ethiopian zones. Nine sets of variable climate (VC) data are processed by the coupled model, generating stochastic wet and dry shocks, producing an ensemble of potential economic prediction indicators. Analysis of gross domestic product and poverty rate reveal a significant overestimation of the country's future welfare under all investment strategies when climate variability is ignored. The coupled model ensemble is further utilized for risk assessment to guide Ethiopian policy and planning.     

Occupational diversification as an adaptation to rainfall variability in rural India

Occupational diversification among household members in rural India is investigated as an adaptation strategy against the risks arising from the variability of local rainfall. Nationally representative household‐level survey data are combined with the coefficient of variation of rainfall constructed based on historical rainfall data at the district level. The analysis finds that high rainfall variability has significant negative effects on the agricultural specialization of within‐household occupational choices. This result is reinforced by the finding that improved access to irrigation, education, credit, roads, and postal services, is associated with a lower occupational diversification within families and a greater specialization of household members in agricultural‐related employment.