Perceptions of climate change in China: The research and policy connection

Global climate change has evolved from a scientific problem into an economic and political problem oI worlOwloe rater- est. National perspectives play a crucial role in addressing climate change. Mutual understanding of perspectives is nec- essary to result in rational policies and a consensus among stakeholders with divergent interests. Conceptual frameworks for understanding the problem of climate change in China, the largest developing country and the largest greenhouse gas emitter, are of great significance to national and international efforts to address the problems of climate change. Chinese perceptions of climate change as a sustainable development problem have recently been in tension with an emerging Western perspective that frames climate change as a security issue. This paper explores Chinese perceptions of climate change as expressed in recent governmental policy statements, public opinion surveys, and academic scholarship with a focus on publications in Chinese-language journals, often unfamiliar in the West. It looks at the relationship between Chinese research and policy and finds that the Chinese policy frame of climate change as a sustainable development problem draws from the body of domestic research and is reflective of the perspectives and multidisciplinary approach of Chinese researchers in areas of climate change.     

Asynchronism-synchronism of regional precipitation in South-to-North Water Transfer planned areas

1 IntroductionThe geographical feature of China is quite complex with an obvious spatial heterogeneity. At the sense of spatial distribution of precipitation, under the impacts of the relative position of land to ocean and the monsoon climate, the amount of precipitation tends to decrease from south to north and from southeast to northwest. According to the hydrological regionalization, the North China Plain, one of the social and economic centers of China[1,2], is a region short of water re…     

The impacts of urbanization on soil erosion in the Loess Plateau region

1 IntroductionThe Loess Plateau region covers an area of 62.4(104 km2 and lies in the center of northern China. Urbanization and economic development have been quickened in recent decades. Both the number of towns established and scale of cities have increased. Although the pace of urbanization has been accelerated, the eco-environmental control in urban areas still lags behind relatively. Moreover, the construction and development of cities damaged the already vulnerable eco-environment to …     

吉林省西部土地沙化动态变化

The sandy land of the western part of Jilin Province is located in the ecotone of semi-humid and semi-arid area in the temperate zone of China. The sandy desertification has widely spread in the region because of the vulnerable natural conditions and the unreasonable human activity; as a result of this, the precious land resources and the economic development in the area have been seriously impacted. In this paper, the sandy land ecologic environment geographic information system is established based on the multi-spectral, multi-temporal Landsat TM images and field investigation. The comprehensive indexes of sandy desertification extent assessment which include vegetation degradation, wind erosion extent and soil depth are presented to classify the sandy land in western Jilin into three levels--slight, moderate and severe sandy desertification with the support of GIS platform. The results demonstrate that the sandy desertification has been partly controlled in the past twenty years, except some small sites. However, this doesn‘t necessarily mean that there is nothing for more concern. The two main causes of sandy desertification have not been eliminated yet, one is its natural factor, especially the physical and chemical characters of sandy soil and dry climate; another is the immoderate economic activity of human being that has highly accelerated the sandy desertification process.     

The causes and processes responsible for rocky desertification in karst areas of southern China

The karst region of southern China is a fragile ecological zone with widespread rocky desertification. This paper describes the rocky desertification occurring in this region in terms of both natural and anthropogenic factors. During geological time periods, the region’s changing environment governed the natural rocky desertification processes, whereas during historical and modern times, anthropogenic processes have been superimposed on these natural processes. Human activities have accelerated and exacerbated rocky desertification. The period from the beginning to the middle of the Qing dynasty was an important transitional period in which human activities began to exert a particularly strong influence on rocky desertification. Since then, the effect of anthropogenic factors has increasingly exceeded the effect of natural factors. The rocky desertification process in southern China’s karst region combines surface ecological processes (including vegetation degradation and loss, soil erosion, surface water loss, and bedrock solution) with a reduction of the land’s biological productivity, leading to degradation that produces rocky desert. Controlling rocky desertification requires comprehensive development of sustainable agriculture and economic development that provides employment alternatives to agriculture and thereby promotes the rehabilitation of rocky desertified land.     

The influence of large dams building on resettlement in the Upper Mekong River

This paper seeks to quantify the social and economic impact of resettlement based on the physiographic element changes post relocation. We focus on communities affected by the Nuozhadu hydropower project, the largest existing hydropower project on the mainstream of the Upper Mekong River. Soil and meteorological data were collected from the Soil Spatial Database and the China Terrestrial Ecological Information Spatial Meteorology Database, while social and economic data were collected via field surveys. We have three major con- clusions： （1） Communities will be relocated to a new climate and new elevation, moving from a north tropical climate zone under 700 m to a subtropical climate zone above 700 m. （2） Physiographic element changes due to relocation will reduce household economic income. After relocation, the annual family income of the Shidaimao group decreased by 62%; the annual family income of the other 5 study groups （Lasa, Hani, Nochangchangyi, Mengsa, and Dawazi） dropped by 65%. （3） Communities relocated across the study township are 61.1% less connected with their former relatives after relocation while family-to-family free labor exchange, a previous community norm, decreased by 91%. China＇s dam resettlement compensation system focuses on the loss of economic resources after relocation. However, this study finds that the physiographic elements of the relocation sites are an important driver of ensuring economic growth and stability after relocation. As a result, we recommend more attention be paid to physiographic continuity when designing relocation models.     

中国能源消费与气候变化的关系

Energy consumption has an inevitable connection with economic level and climate. Based on selected data covering annual total energy consumption and its composition and that of all kinds of energy in 1953-1999, the annual residential energy consumption and the coal and electricity consumption in 1980-1999 in China, the acreage of crops under cultivation suffered from drought and flood annually and gross domestic product (GDP) in 1953-1999 in the whole country, and mean daily temperature data from 29 provincial meteorological stations in the whole country from 1970 to 1999, this paper divides energy consumption into socio-economic energy consumption and climatic energy consumption in the way of multinomial. Itchanges between the climate energy consumption andalso goes further into the relations and their changes between the climate energy consumptionenergy consumption and the economic level inand climate factor and between the socio-economic energy between the climate energy level in China with the method of statistical analysis. At present, there are obvious transitions in the changing relationships of the energy consumption to economy and climate, which comprises the transition of economic system from resource-intensive industry to technology-intensive industry and the transition of climatic driving factors of the energy consumption from driven by the disasters of drought and flood to driven by temperature.     

中国城市能源消费碳排放的区域差异、空间溢出效应及影响因素分析（英文）

Data show that carbon emissions are increasing due to human energy consumption associated with economic development. As a result, a great deal of attention has been focused on efforts to reduce this growth in carbon emissions as well as to formulate policies to address and mitigate climate change. Although the majority of previous studies have explored the driving forces underlying Chinese carbon emissions, few have been carried out at the city-level because of the limited availability of relevant energy consumption statistics. Here, we utilize spatial autocorrelation, Markov-chain transitional matrices, a dynamic panel model, and system generalized distance estimation(Sys-GMM) to empirically evaluate the key determinants of carbon emissions at the city-level based on Chinese remote sensing data collected between 1992 and 2013. We also use these data to discuss observed spatial spillover effects taking into account spatiotemporal lag and a range of different geographical and economic weighting matrices. The results of this study suggest that regional discrepancies in city-level carbon emissions have decreased over time, which are consistent with a marked spatial spillover effect, and a ‘club' agglomeration of high-emissions. The evolution of these patterns also shows obvious path dependence, while the results of panel data analysis reveal the presence of a significant U-shaped relationship between carbon emissions and per capita GDP. Data also show that per capita carbon emissions have increased in concert with economic growth in most cities, and that a high-proportion of secondary industry and extensive investment growth have also exerted significant positive effects on city-level carbon emissions across China. In contrast, rapid population agglomeration, improvements in technology, increasing trade openness, and the accessibility and density of roads have all played a role in inhibiting carbon emissions. Thus, in order to reduce emissions, the Chinese government should legislate to inhibit the effects of factors that promote the release of carbon while at the same time acting to encourage those that mitigate this process. On the basis of the analysis presented in this study, we argue that optimizing industrial structures, streamlining extensive investment, increasing the level of technology, and improving road accessibility are all effective approaches to increase energy savings and reduce carbon emissions across China.     

都市工业区位模式及其对上海可持续性的影响（英文）

China's economy has undergone rapid transition and industrial restructuring. The term "urban industry" describes a particular type of industry within Chinese cities experiencing restructuring. Given the high percentage of industrial firms that have either closed or relocated from city centres to the urban fringe and beyond, emergent global cities such as Shanghai, are implementing strategies for local economic and urban development, which involve urban industrial upgrading numerous firms in the city centre and urban fringe. This study aims to analyze the location patterns of seven urban industrial sectors within the Shanghai urban region using 2008 micro-geography data. To avoid Modifiable Areal Unit Problem(MAUP) issue, four distance-based measures including nearest neighbourhood analysis, Kernel density estimation, K-function and co-location quotient have been extensively applied to analyze and compare the concentration and co-location between the seven sectors. The results reveal disparate patterns varying with distance and interesting co-location as well. The results are as follows: the city centre and the urban fringe have the highest intensity of urban industrial firms, but the zones with 20–30 km from the city centre is a watershed for most categories; the degree of concentration varies with distance, weaker at shorter distance, increasing up to the maximum distance of 30 km and then decreasing until 50 km; for all urban industries, there are three types of patterns, mixture of clustered, random and dispersed distribution at a varied range of distances. Consequently, this paper argues that the location pattern of urban industry reflects the stage-specific industrial restructuring and spatial transformation, conditioned by sustainability objectives.     

黑河流域气候变化对水资源的影响

1IntroductionThe climate conditions of temperature and precipitation are of primary importance for arid region and a change of climate in the direction to warmer or colder, wetter or drier would have large water resources, biological and socio-economic consequences (Raino Heino, 1994; Guido V etal., 2001).Since last century, there has been a warming trend for global climate with greenhouse gases such as CO2 continually increasing. The trend got intensified particularly in the late 20th centu…     

Modeling the impacts of climate change on China’s agriculture

The impacts of climate change on China’s agriculture are measured based on Ricardian model. By using county-level cross-sectional data on agricultural net revenue, climate, and other economic and geographical data for 1275 agriculture-dominated counties in the period of 1985-1991, we find that both higher temperature and more precipitation will have overall positive impact on China’s agriculture. However, the impacts vary seasonally and regionally. Higher temperature in all seasons except spring increases agricultural net revenue while more precipitation is beneficial in winter but is harmful in summer. Applying the model to five climate scenarios in the 2020s and 2050s shows that the North, the Northeast, the Northwest, and the Qinghai-Tibet Plateau would always benefit from climate change while the South and the Southwest may be negatively affected. For the East and the Central China, most scenarios show that they may benefit from climate change. In conclusion, climate change would be beneficial to the whole China.     

东北地区植被分布全球气候变化区域响应

根据东北地区生态气候环境和生物地理规律对Holdridge生命地带分类系统进行修正,将东北地区植被分为寒温带湿润森林、寒温带潮湿森林、温带湿润森林、暖温带湿润森林、温带半湿润森林草甸草原、温带半湿润草甸草原、温带半干旱典型草原、暖温带半湿润草甸草原和暖温带半干旱典型草原等9 个生命地带并分析了其空间分布特征。运用大气环流模式分析东北地区由于温室气体增加导致的气候变化趋势。以此为基础评价东北地区植被分布的区域响应。全球气候变暖情景下,东北地区暖温带和温带范围明显扩大,而寒温带范围缩小甚至退出东北地区,植被分布界限显著北移;同时湿润区面积减少半湿润区和半干旱区扩大,导致森林面积缩小草原面积扩大。     

基于模式优选的21世纪中国气候变化情景集合预估

未来气候变化情景预估是制定气候变化应对和适应策略的科学基础。本文利用参与耦合模式比较计划第五阶段（CMIP5）的30个气候模式的模拟数据,通过评估各模式对历史气候变化的模拟能力,筛选出模拟区域气候变化的最优模式组合,进而建立偏最小二乘回归（PLS）集合预估模型,据此利用最优模式模拟结果预估区域温度和降水变化情景。通过与历史数据的对比,研究发现本文基于最优模式建立的PLS集合预估模型不仅优于传统的多模式集合平均,而且也优于利用全部模式建立的PLS集合预估模型,体现了模式优选过程的重要性。本文基于优选模式的PLS集合预估模型预估结果表明：① 21世纪各区域温度将持续上升,且冬半年升温速率总体大于夏半年,北方地区升温速率总体高于南方地区;RCP 4.5排放情景下温度上升先快后慢,转折点出现在21世纪中期,RCP 8.5排放情景下,呈持续增加趋势,至21世纪末的升温幅度约为RCP 4.5情景的2倍。② 21世纪各区降水变化均呈显著增加趋势,并表现出高排放情景大于低排放情景,少雨区大于多雨区的特征,但是降水增加过程伴有明显的年代际波动。对比发现,传统的等权重集合平均全部模式（EMC）方法预估的中国夏季变暖速率高于冬季,且降水基本呈线性增加,有悖于全球变暖的基本特征及中国降水具有鲜明的年代际变化特征的基本认识。因而,本文预估的温度和降水变化特征均更符合中国气候变化的基本规律。     

中原腹地气候变化对冬小麦产量的影响——以商丘地区为例

为探明气候变化对商丘地区冬小麦产量的影响,根据1991～2010商丘市气候资料和小麦产量资料,利用数学统计与Thornthwaite Memoriae模型,结合未来气候预测结果定量分析了气候变化对冬小麦产量的影响。结果表明,冬小麦产量整体上呈波动上升趋势;主成分分析表明,气温、降水量、蒸发量与极端温度为影响冬小麦产量的主要气候因子,蒸发量过大及极端低温对冬小麦生产不利。商丘地区"暖湿型"气候有利于冬小麦生产力的提高,"冷干型"气候对冬小麦生产最为不利;未来几十年内气候可能将向"暖湿型"变化,对商丘地区粮食作物产量的提升较为有利。     

未来气候变化对淮河流域径流深的影响

本文运用多元回归方法,建立有关气候-径流深的数学模型,并用该模型预测在未来气候变化的15种可能情景下淮河三个代表子流域径流深的变化。结果表明:年径流深随年降水量的增加而增加,随年均温度的升高而减少;不同流域对各种气候变化的响应存在着明显的差异,反映出整个淮河流域不同自然地理条件的影响;不同季节的径流深对各种气候变化的响应也存在明显的差异,体现了季风气候对径流的影响。文章还特别关注了暖干天气组合下径流深的变化,提出这种极端气候情景对工农业生产和国民经济建设有着严重的负面影响     

气候变化对甘肃定西、安徽合肥小麦生产影响研究

由于大气中温室气体的不断增加, 全球气候发生了巨大变化。据最新气候模式模拟研究表 明未来全球气候将发生更为剧烈的变化, 这必将对很多部门产生显著的影响特别是对气候变化 十分敏感的农业。尤其对于中国这样的人口大国, 农业作为社会最基本也是最重要生产部门之 一, 气候变化将对中国的农业生产带来巨大的影响。小麦是中国的第二大作物, 其中冬小麦占全 国小麦总产量近90%, 因此评价气候变化对中国小麦生产影响是十分必要的。为了分析在未来气 候变化情景下中国小麦生产可能遇到的风险, 以15 年ECMWF 再分析实验数据(1979~1993)作为 边界条件驱动PRECIS 区域气候模式模拟产生作物模型所需要的气候资料并输入CERES-Wheat 模型, 验证CERES-Wheat 模型与区域气候模式PRECIS 结合的模拟能力。在以上验证工作的基 础上, 将区域气候模式PRECIS 的模拟结果与作物模型CERES-Wheat 相连接, 同时考虑到CO2 对小麦的直接施肥作用, 模拟了两个小麦站点(定西和合肥)在IPCC SRES A2 和B2 情景下雨养 和灌溉小麦的变化趋势。得到如下结论: 无论是在A2 情景还是B2 情景, 定西和合肥的小麦产量 都会有所增加, 但增加的幅度相差很大。A2 情景的增产效应一般要大于B2 情景的增产效应, 灌 溉小麦比雨养小麦更加受益于气候变化, 冬小麦(合肥) 产量的增长幅度要大于春小麦(定西) 增 长幅度。CO2 对小麦生长的肥效作用十分明显, 产量增幅很大。以上结果说明未来气候变化可能 会对我国的小麦生产带来益处, 但由于未来气候情景模拟的不确定性以及CO2 肥效作用通常是 在作物过程中的水肥条件完全满足的情况下才充分体现, 这都给研究结果带来了不确定性, 但本 项研究为评价未来气候变化对中国小麦生产影响提供了一种全面的评价方法。     

未来气候情景下我国北方地区干旱时空变化趋势

干旱是我国北方地区最为突出的环境问题。根据WCRP耦合模式输出的未来气候变化逐月资料,基于降水-蒸发力标准化干旱指数（SPEI）,分析了IPCC SRES A1B、A2和B1三种情景下,2011-2050年我国北方地区干旱状况的时空变化趋势。结果表明：中国北方地区未来40 a呈现干旱化倾向,其中轻度和中度季节性干旱发生频率降低,重度和极端季节性干旱发生频率增加,增温引起的地表蒸发增加是极端干旱频发的主要原因。A1B、B1和A2情景下,2040s整个北方地区极端干旱频率增加、强度增强、影响范围明显扩大。极端干旱的增加可能给农业生产带来风险,采取有效应对措施,将有利于区域农业的可持续发展。     

中国南北过渡带范围的地理表达及定量探测

气候变化下中国南北过渡带的动态变化及地域范围探测是识别农业生产敏感区、研究农业适应行为的基础。前人基于“自上而下”或“自下而上”的方法,采用不同的划界指标对中国南北过渡带的范围进行了探索,但对气候变化下南北过渡带范围的地理表达及其地域范围的定量探测较少涉及。采用1951—2018年2400多个国家气象站点气温和降水的逐日观测数据,以800 mm等降水量线、1月0℃均温、日均温≥10℃积温、日均温≥10℃日数和干燥度指数0.5为划界指标,运用ArcGIS栅格计算和均值-标准差对中国南北过渡带进行地理表达。结果表明,中国的南北分界是一条宽窄不一的过渡带,各划界指标的等值线在气候变化下变动明显,各气象要素的大致变动范围西南段较东北段更为稳定,日均温≥10℃积温和干燥度指数的变化幅度大于800 mm等降水量线和1月0℃均温。确定的中国南北过渡带的极端最北界自西向东依次穿过礼县、耀县、韩城、安泽、涉县、静海县;极端最南界自西向东依次穿过北川、宁强、西乡、房县、淅川、罗山、商城、定远、临安县。该范围内提取的637个县域中,位于南北过渡带气候变化稳定区的县域256个,位于气候变化敏感区的县域187个。研究可为中国南北过渡带农业生产适应气候变化提供科学依据。     

机器学习与统计模型在石羊河流域气候降尺度研究中的适用性对比

高分辨率气候数据是研究气候变化对农业、生态、水文影响的驱动数据,动力和统计降尺度模型是两类常用的生成高分辨率气候数据的方法,近年来机器学习模型也被用到气候变化的研究中,但针对不同站点(下垫面)的多种统计降尺度模型的对比研究较少.石羊河流域土地利用类型多样,海拔变化显著,适合研究降尺度模型的适用性.本研究选择2种传统统计...     

青海湖水量变化模拟及原因分析

为了探讨气候变化和人类活动对流域水文过程的影响,以分布式水文模型SWAT为基础,结合湖泊水量平衡模型,建立了青海湖水位(水量)模型,模拟了青海湖过去几十年水位变化过程。水文因子分析表明,20世纪80~90年代青海湖流域径流和湖泊水位变化的主要原因是气候变化。根据不同气候情景,对未来青海湖水位变化进行了预测。结果表明,未来30年径流增加的可能性比较大,青海湖水位下降速度将会减缓甚至出现上升趋势。这一结果将会缓解青海湖流域水资源日益紧张的局势,并有利于植被的恢复,减少土地沙化面积,对流域生态环境的改善和社会经济的发展将会有极大的帮助。