Rural resident household food consumption patterns in the Ganzhou district of Zhangye city: an analysis based on ELES Model

Demand for food plays an important role in the adjustment of prices for agricultural products and for adjusting agricultural structure.By using the extended linear expenditure system(ELES),we analyzed the food consumption structure of rural residents in the Ganzhou district of Zhangye city,and determined the basic food-consumption demand,the marginal propensity of consumption,the income elasticities of demand,and the own-price and cross-price elasticities of local rural residents,all of which illustrate the influencing factors on food consumption of rural residents and for forecasting the food-consumption structure.Those analyses show the following:the rural residents’ expenditure on household basic food consumption reaches about 7,050.35 Yuan;the marginal propensities of consumption of fruits and vegetables are relatively high(0.062 and 0.106,respectively),followed by meat(0.044);the demands for various foods are increasing as income increases,with the largest income elasticity of demand corresponding to fruits(1.354) and the lowest to cereal(0.310);fruits and vegetables have relatively high own-price elasticities(respectively-0.879 and-0.442),with the cereal having the lowest one(-0.184).An increase in cereal prices would greatly affect demand for other products;with the rising size of rural households,the consumption for meat is decreasing whereas it is increasing for cereal.The improvement of household education levels will lead to the increase of fruit consumption(E = 0.297),which indicates that people will pay more attention to diet and nutrition structure with the improvement of education.Further,although the amount of cereal expenditure is continually growing,the share will be declining with the increase of household income in 2006-2012.For all these reasons,therefore,the government should encourage the cultivation of economic crops and guide the development of stockbreeding to ensure the stability of cereal output.In order to attain the balance between supply and demand,it is important to rationally a     

滇中高原火后更新森林植物和土壤水分含量的时空格局（英文）

Plant moisture content(PMC) is used as an indicator of forest flammability, which is assumed to be affected by climate drought. However, the fire-induced drought stress on PMC and its spatial and temporal variations are unclear. Based on a parallel monitoring experiment from 2014 to 2015, this study compared the PMCs and soil moisture contents(SMC) at five post-fire sites in central Yunnan Plateau, Southwest China. The number of years since last fire(YSF), season, topographic position, plant species and tissue type(leaf and branch) were selected as causal factors of the variations in PMC and SMC. A whole year parallel monitoring and sampling in the post-fire communities of 1, 2, 5, 11 and 30 YSF indicated that drought stress in surface soils was the strongest in spring within the first 5 years after burning, and the SMC was regulated by topography, with 64.6% variation in soil moisture accounted for by YSF(25.7%), slope position(22.1%) and season(10.8%). The temporal variations of PMC and SMC differed at both interannual and seasonal scales, but the patterns were consistent across topographic positions. PMC differed significantly between leaves and branches, and among three growth-forms. The mean PMC was lower in broad-leaved evergreen species and higher in conifer species. Season and soil temperature were the primary determinants of PMC, accounting for 19.1% and 8.3% of variation in PMC, respectively. This indicated phenology-related growth rather than drought stress in soil as the primary driver of seasonal changes in PMC. The significant variations of PMC among growth forms and species revealed that seasonal soil temperature change and dominant species in forest communities are useful indicators of fire risk assessment in this region.     

基于垂直带谱的南北过渡带1:5万植被类型图遥感制图研究——以太白山为例

The compilation of 1:250,000 vegetation type map in the North-South transitional zone and 1:50,000 vegetation type maps in typical mountainous areas is one of the main tasks of Integrated Scientific Investigation of the North-South Transitional Zone of China.In the past,vegetation type maps were compiled by a large number of ground field surveys.Although the field survey method is accurate,it is not only time-consuming,but also only covers a small area due to the limitations of physical environment conditions.Remote sensing data can make up for the limitation of field survey because of its full coverage.However,there are still some difficulties and bottlenecks in the extraction of remote sensing information of vegetation types,especially in the automatic extraction.As an example of the compilation of 1:50,000 vegetation type map,this paper explores and studies the remote sensing extraction and mapping methods of vegetation type with medium and large scales based on mountain altitudinal belts of Taibai Mountain,using multi-temporal high resolution remote sensing data,ground survey data,previous vegetation type map and forest survey data.The results show that:1)mountain altitudinal belts can effectively support remote sensing classification and mapping of 1:50,000 vegetation type map in mountain areas.Terrain constraint factors with mountain altitudinal belt information can be generated by mountain altitudinal belts and 1:10,000 Digital Surface Model(DSM)data of Taibai Mountain.Combining the terrain constraint factors with multi-temporal and high-resolution remote sensing data,ground survey data and previous small-scale vegetation type map data,the vegetation types at all levels can be extracted effectively.2)The basic remote sensing interpretation and mapping process for typical mountains is interpretation of vegetation type-groups→interpretation of vegetation formation groups,formations and subformations→interpretation and classification of vegetation types&subtypes,which is a combination method of top-down method and bottom-up method,not the top-down or the bottom-up classification according to the level of mapping units.The results of this study provide a demonstration and scientific basis for the compilation of large and medium scale vegetation type maps.     

珠江三角洲地区城镇化与生态韧性的耦合协调研究

Urban resilience is an emerging research topic of urban studies, and its essence is described by the ability of cities to resist, recover, and adapt to uncertain disturbances. This paper constructs a "Size-Density-Morphology" urban ecological resilience evaluation system, uses a coupling coordination degree model to measure the degree of coupling coordination between urbanization and ecological resilience in the Pearl River Delta from 2000 to 2015, and conducts an in-depth discussion on its spatiotemporal characteristics. The results show the following.(1) From 2000 to 2015, the urbanization level of cities in the study area generally increased while the level of ecological resilience declined. The coupling coordination degree between the two systems decreased from basic coordination to basic imbalance.(2) In terms of spatial distribution, the coupling coordination degree between urbanization and ecological resilience of cities presented a circular pattern that centered on the cities at the estuary of the Pearl River and increased toward the periphery.(3) Ecological resilience sub-systems played variable roles in the coupling coordination between urbanization and ecological resilience. Specifically, size resilience mainly played a reverse blocking role;the influence of morphology resilience was generally positive and continued to increase over time;the effect of density resilience was positive and continued to decline and further became negative after falling below zero. The main pathways for achieving coordinated and sustainable development of future urbanization and ecological resilience in the Pearl River Delta include: leading the coordinated development of regions with new urbanization, improving ecological resilience by strictly observing the three areas and three lines, adapting to ecological carrying capacity, and rationally arranging urban green spaces.     

长三角地区产业转型的大气污染效应——基于空间溢出视角

The Yangtze River Delta(YRD) is a region in China with a serious contradiction between economic growth and environmental pollution. Exploring the spatiotemporal effects and influencing factors of air pollution in the region is highly important for formulating policies to promote the high-quality development of urban industries. This study uses the spatial Durbin model(SDM) to analyze the local direct and spatial spillover effects of industrial transformation on air pollution and quantifies the contribution of each factor. From 2008 to 2018, there was a significant spatial agglomeration of industrial sulfur dioxide emissions(ISDE) in the YRD, and every 1% increase in ISDE led to a synchronous increase of 0.603% in the ISDE in adjacent cities. The industrial scale index(ISCI) and industrial structure index(ISTI), as the core factors of industrial transformation, significantly affect the emissions of sulfur dioxide in the YRD, and the elastic coefficients are 0.677 and-0.368, respectively. The order of the direct effect of the explanatory variables on local ISDE is ISCI>ISTI>foreign direct investment(FDI)>enterprise technological innovation(ETI)>environmental regulation(ER)> per capita GDP(PGDP). Similarly, the order of the spatial spillover effect of all variables on ISDE in adjacent cities is ISCI>PGDP>FDI>ETI>ISTI>ER, and the coefficients of the ISCI and ISTI are 1.531 and 0.113, respectively. This study contributes to the existing research that verifies the environmental Kuznets curve in the YRD, denies the pollution heaven hypothesis, indicates the Porter hypothesis, and provides empirical evidence for the formation mechanism of regional environmental pollution from a spatial spillover perspective.     

Spatiotemporal evolution of urban carbon emission performance in China and prediction of future trends

Climate change resulting from CO_2 emissions has become an important global environmental issue in recent years.Improving carbon emission performance is one way to reduce carbon emissions.Although carbon emission performance has been discussed at the national and industrial levels,city-level studies are lacking due to the limited availability of statistics on energy consumption.In this study,based on city-level remote sensing data on carbon emissions in China from 1992–2013,we used the slacks-based measure of super-efficiency to evaluate urban carbon emission performance.The traditional Markov probability transfer matrix and spatial Markov probability transfer matrix were constructed to explore the spatiotemporal evolution of urban carbon emission performance in China for the first time and predict long-term trends in carbon emission performance.The results show that urban carbon emission performance in China steadily increased during the study period with some fluctuations.However,the overall level of carbon emission performance remains low,indicating great potential for improvements in energy conservation and emission reduction.The spatial pattern of urban carbon emission performance in China can be described as"high in the south and low in the north,"and significant differences in carbon emission performance were found between cities.The spatial Markov probabilistic transfer matrix results indicate that the transfer of carbon emission performance in Chinese cities is stable,resulting in a"club convergence"phenomenon.Furthermore,neighborhood backgrounds play an important role in the transfer between carbon emission performance types.Based on the prediction of long-term trends in carbon emission performance,carbon emission performance is expected to improve gradually over time.Therefore,China should continue to strengthen research and development aimed at improving urban carbon emission performance and achieving the national energy conservation and emission reduction goals.Meanwhile,neighboring cities with different neighborhood backgrounds should pursue cooperative economic strategies that balance economic growth,energy conservation,and emission reductions to realize low-carbon construction and sustainable development.     

1958-2017年长江流域气候变化的时空特征与热点区域

The Yangtze River Watershed in China is a climate change hotspot featuring strong spatial and temporal variability;hence, it poses a certain threat to social development. Identifying the characteristics of and regions vulnerable to climate change is significantly important for formulating adaptive countermeasures. However, with regard to the Yangtze River Watershed, there is currently a lack of research on these aspects from the perspective of natural and anthropogenic factors. To address this issue, in this study, based on the temperature and precipitation records from 717 meteorological stations, the RClim Dex and random forest models were used to assess the spatiotemporal characteristics of climate change and identify mainly the natural and anthropogenic factors influencing climate change hotspots in the Yangtze River Watershed for the period 1958-2017. The results indicated a significant increasing trend in temperature, a trend of wet and dry polarization in the annual precipitation, and that the number of temperature indices with significant variations was 2.8 times greater than that of precipitation indices. Significant differences were also noted in the responses of the climate change characteristics of the sub-basins to anthropogenic and natural factors;the delta plain of the Yangtze River estuary exhibited the most significant climate changes, where 88.89% of the extreme climate indices varied considerably. Furthermore, the characteristics that were similar among the identified hotpots, including human activities(higher Gross Domestic Product and construction land proportions) and natural factors(high altitudes and large proportions of grassland and water bodies), were positively correlated with the rapid climate warming.     

CHENGTU-A STUDY IN URBAN GEOGRAPHY

1. Location and Historical Development Chengtu, the capital city of western Szechwan, is located on the lower part of the Min and Tu alluvial fan (Fig.1) which has an area of about 6,000 sq.km., and is the most fertile irrigated fields of the western China. The autbor discusses the location and site of the city to compare with other cities on the alluvial fan, and finds that the selection and development of Chengtu as a capital city is due chiefly to the reason that it is situated at the terminus point o...     

中国山地范围界定的初步意见

中国山地的范围一直缺乏可操作的、准确的量化方法,从而导致对山地及其内部资源、环境、人口和发展问题认识的不全面.同时,准确界定山地范围是实施数字山地战略的一项基础性工作.在前人研究的基础上,采用两种方案确定中国山地范围.方案一:将满足以下两种情况的国土界定为山地,1)海拔≥3 000 m;2)海拔≥1300～3 000 m,同时相对高差>200 m或坡度>25°.根据此标准计算,中国山地面积为4 000 265 km2,占中国陆地面积的41.67%.方案二:根据UNEP-WCMC的标准,将满足下述情况的国土定义为山地,1)海拔≥2 500 m;2)海拔≥1 500～2 500 m,坡度≥2°;3)海拔≥1 000～1 500 m,坡度≥5°或相对高差≥300 m;4)海拔≥300～1 000 m,相对高差≥300 m.根据此标准计算,中国山地面积为4 426 130 km2占中国陆地面积的46.11%.按两种方法计算所得的分省山地面积中,前5名都是西藏、青海、新疆、四川和云南.将两种方案计算的山地面积按高程划分为六级:①300～1 000 m(含300 m),②1 000～1 500 m(含1 000 m),③1 500～2 500 m(含1 500 m),④2 500～3 500 m(含2 500 m),⑤3 500～4 500 m(含3 500 m),⑥≥4 500 m.根据两种方案的定义,海拔3 500 m以上的山地面积相等;除了方案-在300～1 000 m间山地较方案二多324 508 km2外,其余几个级别山地的面积均为方案二大于方案-的山地面积,其中2 500～3 500 m间多133 432 km2,1 500～2 500 m间多336 186 km2,1 000～1 500 m间多282 273 km2.     

中国欠发达地区可持续减贫与绿色发展研究

In 2020, the decisive victory of building a moderately well-off society in all aspects means that absolute poverty in rural China has been completely eliminated. Consolidating and expanding the achievements of poverty alleviation and establishing a long-term mechanism to solve relative poverty have become key issues in high-quality development of underdeveloped areas. In this study, human-earth system is employed to analyze the element composition, structural organization and functional state of underdeveloped areas. The results show that poverty in underdeveloped areas stems from the lack of the coupling and coordinating mechanism among human, economic, resource and environmental elements, which is not conducive to transforming the ecological advantages into the advantages of regional development. In the antipoverty stage, underdeveloped areas innovate the human-earth coupling and coordinating mechanism through a series of targeted measures, promote the organic combination of poverty alleviation, ecological conservation and sustainable development, and boost the transformation of regional development and the increase of farmers’ incomes. Focusing on the 14 th Five-year Plan(2021–2025) and the long-term goal of 2035, governments in underdeveloped areas should make full use of the policy support to explore scientific methods of modern governance and sustainable development. In particular, it is necessary to practice the concept that "clear waters and lush mountains are invaluable assets" and take the road of the ecologicalization of industry and the industrialization of ecology by establishing a policy system of "green land", "green people", "green industry" and "green right", thus building an endogenous growth mechanism of sustainable poverty alleviation and green development in China’s underdeveloped areas.     

Wet-dry changes in the borderland of Shaanxi, Gansu and Ningxia from 1208 to 1369 based on historical records

More than 240 items of historical records containing climatic information were retrieved from official historical books, local chronicles, annals and regional meteorological disaster yearbooks. By using moisture index and flood/drought (F/D) index obtained from the above information, the historical climate change, namely wet-dry conditions in borderland of Shaanxi Province, Gansu Province and Ningxia Hui Autonomous Region (BSGN, mainly included Ningxialu, Hezhoulu, Gongchanglu, Fengyuanlu and Yan’anlu in the Yuan Dynasty) was studied. The results showed that the climate of the region was generally dry and the ratio between drought and flood disasters was 85/38 during the period of 1208–1369. According to the frequencies of drought-flood disasters, the whole period could be divided into three phases. (1) 1208–1240: drought dominated the phase with occasional flood disasters. (2) 1240–1320: long-time drought disasters and extreme drought events happened frequently. (3) 1320–1369: drought disasters were less severe when flood and drought disasters happened alternately. Besides, the reconstructed wet-dry change curve revealed obvious transition and periodicity in the Mongol–Yuan Period. The transitions occurred in 1230 and 1325. The wet-dry change revealed 10- and 23-year quasi-periods which were consistent with solar cycles, indicating that solar activity had affected the wet-dry conditions of the study region in the Mongol–Yuan Period. The reconstructed results were consistent with two other study results reconstructed from natural evidences, and were similar to another study results from historical documents. All the above results showed that the climate in BSGN was characterized by long-time dry condition with frequent severe drought disasters during 1258 to 1308. Thus, these aspects of climatic changes might have profound impacts on local vegetation and socio-economic system.     

蒙元时期陕甘宁交界地区干湿变化特征

从官修正史、方志和历朝纪事本末、区域气象灾害年鉴等历史文献资料中提取关于陕甘宁交界地区(元前期陕西四川行省的西北部以及元后期的陕西行省和甘肃行省的交界地区,主要包括宁夏府路、河州路、巩昌路、奉元路和延安路之间的部分)的水涝、干旱等气候信息共240余条,利用湿润指数法、旱涝灾害定级法对其于湿变化特点进行研究.研究发现1208-1369年期间,陕甘宁交界地区气候总体以干旱为主.旱涝灾害发生频率的比例为85/38.按照旱涝变化类型可将研究区旱涝变化过程分为三个时段,1208-1240年是以干旱为主要特征,局部时段偶发水涝灾害的时期;1240-1320年,基本持续干旱,而且极端干旱事件频发;1320-1369年,旱灾略有好转,但是旱涝交并发生.蒙元时期陕甘宁交界地区的干湿变化具有明显的转折性和周期性.转折主要发生在1230年和1325年前后,以此两点为界,前后气候变化类型有比较明显的差异.蒙元时期的干湿变化具有10年和23年的准周期,均与太阳活动周期吻合,说明蒙元时期区域干湿变化受太阳活动影响较大.     

塔里木盆地南缘历史时期气候环境变化的过程与特征

根据塔里木盆地南缘具较高分辨率的湖沼相沉积物碳酸盐δ^13C和粒度等记录，恢复出2162-850BC期间为一相对稳定的温暖干旱时期，之后迅速转冷湿，湿润程度呈持续、阶段式增加，50 BC至500 AD期间呈现的显著冷湿特征于550 AD之后突变转暖干而结束。550 AD和1000 AD前后的具突变性质的气候事件在南疆地区近2．0ka的气候变化中具有重要意义，反映气候状况有过重大调整。850—1300AD期间(相当于中世纪温暖期)冷暖、干湿多变，但温暖特征并不明显。特别是1100—1200AD期间气候快速、频繁变化之后，奠定了本地区现代稳定干旱环境特征。区域对比表明，尼雅剖面记录的气候变化具有广泛的区域一致性。     

1735—1911年汉江流域季节旱涝等级序列的重建与特征分析

基于汉江流域雨雪分寸等史料记录的特点,以发生地区、影响程度和持续时间为衡量标准,提出了利用史料重建汉江流域季节旱涝等级序列的方法,重建了1735—1911汉江流域7府（州）四季的旱涝等级序列,据此分析了各府（州）1735—1911年季节上的旱涝变化特征。结果表明：① 汉中府、兴安府、商州和南阳府有更多的春季、夏季、冬季偏旱年,而郧阳府、襄阳府和安陆府有更多的春季、夏季偏涝年和秋季偏旱年;② 夏季和秋季旱涝等级的波动明显,而春季和冬季旱涝等级的波动较小;③ 年代际尺度上来看,汉江流域,1820s—1840s偏涝,1850s、1870s偏旱;④ 影响较大的季节连旱事件多发生在19世纪,而影响较大的季节连涝事件多发生在夏季和秋季。这一研究,对汉江流域定量化气候研究具有一定的价值,也为汉江流域未来的降水变化研究提供了数据支持。     

近30a甘肃天水气候资源变化对杏产量影响评估

气候变暖导致气候资源配置发生变化,由此而引发的农业气象灾害导致果树作物发育进程、果树产量出现较大波动。利用统计学方法对甘肃天水近30 a气候资源变化对杏树产量影响研究和分析,得出20世纪90年代以来杏树花芽膨大、现蕾、开花期较80年代提前6~7 d,果实成熟期提前10 d左右;由此而引发的农业气象灾害以初秋9月下旬、后冬1月下旬至2月上旬、花前3月上旬温暖干旱气候和花果期4月上中旬低温干旱气候对杏树产量形成影响最大,年际变化除后冬干旱灾害呈明显加重趋势,为本世纪影响杏树产量形成的主要农业气象灾害外,其它灾害在本世纪虽略有减轻,但危害程度仍明显重于80年代;10 a平均气候产量动态相对偏差百分率90年代(与80年代相比)减少29.9个百分点,本世纪减少7.8个百分点。评估有灾17 a,实况(轻、中、中大和大灾) 16 a,评估准确率94%,其中中灾和中大灾害评估准确率均达100%,评估效果比较理想,对农业防灾减灾有一定的指导意义。     

近50年安徽省气候年景评估方法

利用安徽省1961～2010年气象观测资料和气象灾情资料,依据极端气候事件及主要气象灾害评估技术规范和相关标准,挑选主要气候事件及气象灾害评估指标。应用主成分分析方法确定各指标权重,通过综合加权分别构建年干旱、雨涝、低温冷冻害、高温、风雹及雾霾等气候异常指数评估模型和灾损模型。在此基础上,利用灰色关联方法构建气候年景模型,反演近50a安徽省年景指数序列,参照世界气象组织推荐的百分位数法划分气候年景等级阈值,分别取0～10%,10%～30%,30%～70%,70%～90%,90%～100%为好、较好、一般、较差和差气候年景。近50a来,1965年、1973年、1975年、1993年和1997年为好气候年景;1966年、1969年、1991年、1996年和1998年气候年景差。通过综合灾损模型以及相关气象灾害文献资料验证表明,气候年景评估方法和等级标准可以较好地反映年度气候的真实状况,可为省、市、县级区域的气候年景评估提供科技支撑。     

明清时期宝鸡地区旱涝灾害链及其对气候变化的响应

通过对明清时期宝鸡地区旱涝灾害资料的统计和整理,利用滑动平均、累积距平及小波分析等方法探讨分析了1368-1911年宝鸡地区旱涝灾害链及其对气候变化的响应。结果表明：① 1368-1911年,宝鸡地区共发生297次旱涝灾害事件,其中旱灾和涝灾分别发生191次和106次,占旱涝灾害发生总次数的64.31%和35.69%。② 宝鸡地区旱涝灾害具有较为明显的阶段性特征,1368-1644年为偏旱阶段,1645-1804年为旱涝灾害波动阶段,1805-1911年为偏涝阶段,整体上呈现出干旱—湿润期的交替特征。旱涝灾害在时间尺度上大致存在70年、110年和170年左右3个振荡周期,与太阳黑子活动周期相对应。③ 旱涝灾害具有显著的空间差异性特征。渭河流域以北、以东地区既是旱灾的多发区,也是涝灾的多发区。④ 明清时期宝鸡地区旱涝灾害链的相继发生是对全球气候变化的响应。18世纪60年代以来,全球气候环境变化导致极端旱涝灾害事件频繁发生。     

新疆洪旱灾害与大尺度气候强迫因子的联系

通过对新疆洪灾灾害历史资料和太阳黑子、ENSO事件年数据以及北大西洋涛动指数的分析,表明在太阳黑子极低值年或不活跃年,新疆易发生重大洪灾,而在太阳黑子低值年或相对不活跃年,新疆也易发生重大旱灾。近200a来,新疆重大洪旱灾害绝大部分都发生在太阳黑子的低谷时期。ENSO事件对新疆夏季降水的影响效应明显。因而该事件对新疆的洪旱灾害也产生了影响。对近50年来灾害统计资料分析显示,与拉尼娜年相比,在厄尔尼诺年新疆更易发生洪旱灾害。20世纪后半段新疆洪旱灾害指数与北大西洋涛动指数进行对比可以发现．夏季NAO指数与新疆洪水灾害之间存在大致上的反相关系。而冬季NAO指数与新疆干旱灾害之间存在比较明显的反相关系。     

1480-1940年广东地区气候干湿变化与旱涝灾害区域分异特征

1 IntroductionThe natural disasters, especially the flood and drought disasters, have occurred frequently inG uangdong area since ancienttim es.A ccording to historic statisticaldata,since the 17th century,the occurrence of the flood and drought disasters…     

1636-1949年广西北部湾地区旱涝灾害时空演变研究

通过搜集、整理历史资料,选取1636-1949年共314年,并结合SPSS、EXCEL软件数据分析与ArcGIS图像处理功能,对广西北部湾地区旱涝灾害的等级序列、时间特征、空间特征以及成因进行研究。结果表明：1）1636-1949年间广西北部湾地区共发生大小洪涝灾害456次,平均每0．69年发生1次;干旱灾害400次,平均每0．79年发生1次。2）该地区洪涝灾害主要分布在该地区中部与北部,旱灾主要分布在该地区中部、西部、北部。3）根据旱涝灾害的等级序列可知,2级偏旱略多于1级旱;5级涝多于4级偏涝;灾害以涝灾为主。4）该地区旱涝灾害由地形地貌、人类活动、气候因子共同影响。