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     

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.     

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.     

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.     

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.     

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.     

奈曼沙区樟子松生长状况与水分关系

分析奈曼沙区樟子松的水分关系及生长状况,并与油松、小叶杨比较,结果表明樟子松较油松、小叶杨耐旱。但在无地下水或灌溉补给的迎风坡上部,樟子松片林立地水分状况严重恶化,15龄高生长速生期趋于结束,生长趋于衰退,而在地下水埋深2.4米左右的丘间低地高生长正值旺盛生长之际,这说明在年降水量仅366 mm的奈曼沙区,营造樟子松必须选择适宜的立地条件,才能保证人工林的正常生长和稳定性。     

樟子松适宜气候生态区的模糊聚类分析

本文运用模糊聚类分析方法, 将樟子松的适宜气候生态区划分为如下3个类型: Ⅰ、容易引种的气候生态区, 属森林草原区; Ⅱ、适宜引种的气候生态区, 主要在半干旱的草原区; Ⅲ、难于引种的气候生态区, 主要指半荒漠和荒漠区。这三种类型基本上反映了目前樟子松引种的实际情况。     

30多年来呼伦贝尔草原沙漠化的演变特点及防治对策研究

采用遥感技术与野外调查相结合的方法,通过3个典型小区对呼伦贝尔草原30多年来的沙漠化演变特点进行了系统研究。结果表明:该区的樟子松林区发生着强烈的沙漠化逆转,许多地段已转变为非沙漠化土地;其它地区除部分地段由于人类的积极治理而发生沙漠化逆转外,仍处于不断发展的过程中。因此,对于樟子松天然分布区,可充分利用樟子松的优良防风固沙特性和较强的扩展能力来防治沙漠化,而对其它地区则应以封育为主,加强人工抚育和草原建设。     

干旱荒漠地区沙地樟子松育苗试验研究

春季低温低湿、大风频繁,夏季干旱高温,土壤颗粒粗,持水力低是干旱荒漠地区沙地樟子松育苗的主要制约性因素。只要抓好土壤改良、春季苗床覆盖、灌水、遮荫、越冬覆盖和施肥施药等措施,即可保证沙地樟子松育苗的成功。     

黄淮海平原沙区发展农业产业化初步研究——以河南省延津县为例

农业产业化是一种新兴的农业经济发展模式,在黄淮海平原沙区尚属起步阶段。通过对河南省延津县沙区基本条件的分析研究,结合黄淮海平原沙区发展两高一优及可持续农业的可行性,对延津县沙区发展农业产业化进行了探讨,提出了以发展林果、畜牧和种植业等3大支柱产业为主的农业产业化生产体系,以期对黄淮海平原沙区农业的发展起到促进作用。     

中国沙漠和沙地的资源优势与农业发展

人口、粮食、土地之间的矛盾已成为今后我国几十年的主要问题。我国后备土地资源的68%分布在干旱、半干旱地区,其中沙漠和沙地面积辽阔,类型繁多,涉及212个县(旗)、48×106人。我国的沙漠和沙地具备适度开发利用的水资源依托,具有灌溉、雨养和高寒农业等特殊环境,是栽培作物和养殖家畜的集中区,许多尚无饲养或尚无栽培种类可以取代的野生动植物具有独特经济价值和高度的抗性。我国的沙地持续利用技术体系已初步建立,形成了一整套具有中国特色的流沙固定技术,结合各地的具体条件创建了许多成功的区域开发治理模式。沙漠和沙地开发必须摆脱传统的农业利用模式,依靠科技进步,多采光、少用水,结合资源条件、市场需求、投资能力,有计划、有步骤地规模开发。     

毛乌素沙地固沙造林针叶树种选择的研究

选择樟子松、油松等五种针叶树种在毛乌素沙地进行栽植试验,通过对成活率与保存率、生长量、蓄积量、抗逆性等14年的观测,从单项及多指标综合选优及排序,确立樟子松为毛乌素沙地针叶树造林的优选树种。     

乌兰布和沙漠典型植物群落土壤风蚀可蚀性研究

为探明植被恢复对乌兰布和沙漠土壤风蚀可蚀性的影响,以乌兰布和沙漠内不同沙地固 定阶段的 8 种典型植物群落及群落内表土作为研究对象,对土壤物理因子（可蚀性颗粒含量、土壤 含水量、有机质含量）、土壤结皮因子、植被因子 3 类土壤风蚀可蚀性因子指标进行监测,分析土壤 风蚀可蚀性因子在不同植物群落类型间、沙地固定阶段间的差异。结果表明：（1）在乌兰布和沙漠 典型植物群落中,沙蓬、沙生针茅、盐爪爪等草本植物群落的土壤风蚀可蚀性最强,白刺、梭梭、沙 冬青等灌木植物群落土壤风蚀可蚀性弱于草本植物群落,说明灌木林能显著降低土壤风蚀作用。 （2）随着沙地的不断固定,土壤结构不断发育,土壤可蚀性不断降低,土壤风蚀可蚀性强弱表现为 固定沙地<半固定沙地<流动沙地。（3）土壤可蚀性颗粒含量、土壤有机质含量、土壤含水量、土壤结 皮、植被因子与植被类型及沙地固定阶段具有显著相关关系。因此,在沙区生态建设工程中,为了 减少土壤风蚀量,不仅要考虑物种的选择,还要促进人工生态系统的演替和恢复,从而有效降低土 壤风蚀可蚀性。研究结果可为乌兰布和沙区植被生态系统服务功能的科学评价、防沙治沙工程的 建设与管理提供一定参考。     

基于生态足迹的中国四大沙地地区可持续评价

基于社会经济统计数据,采用生产性生态足迹模型,评估并对比了我国四大沙地地区2000年和2015年的生产性生态足迹和生态赤字/盈余状态,以揭示区域的可持续性。结果表明：2000-2015年,四大沙地地区人均生态足迹总体呈现增加趋势,毛乌素沙地地区人均生态足迹年均增长率最高,达20.85%,增长量为79.21 hm²·人^-1;人均生态足迹主要以化石能源足迹和草地足迹为主;2000-2015年四大沙地地区生态赤字程度在不断增强,毛乌素沙地地区人均生态赤字变化量最大,达79.51 hm²·人^-1,造成赤字程度加大的主要原因是地区化石能源的大量生产。随着人们生活水平的提高,人们对资源的需求量也在不断增加,当前四大沙地地区社会经济的发展在一定程度上仍以自然资源大量生产和消耗为代价,经济发展和环境保护之间的平衡仍存在挑战,需要根据各地区的具体情况制定有针对性的管理措施,以维持区域的可持续发展。     

林分密度对华北土石山区油松人工林土壤有机碳及养分特征的影响

 以木兰围场国有林场管理局实施间伐后6种保留密度下（540、650、1 084、1 104、1 408和1 860 株 / hm2）油松人工林为研究对象,研究各土层的土壤有机碳和N、P、K等养分元素含量及其相关关系。研究结果显示：(1) 土壤有机碳含量和碳密度垂直递减特征明显,均随土壤深度的增加而显著减小,当林分密度由540 株 / hm2增加到1 860 株 / hm2时,土壤有机碳含量及碳密度变化规律不尽一致,其分布区间分别为10.56~21.21 g / kg,与5.48~11.70 kg / m2;(2) 林分密度对土壤有机碳及碳密度有显著的影响,1 408 株 / hm2油松林下土壤有机碳含量及碳密度分别与650 株 / hm2和1 860 株 / hm2油松林下土壤有机碳含量及碳密度呈显著性差异,而其它林分密度间无显著差异。当林分密度为1 104 株 / hm2时,各土层土壤全N和P、K的有效量及全量均保持在一个相对较高的水平,在0~60 cm深度土壤全N、全P、全K、有效P和速效K含量均值均达到最高,分别为1.38 g/kg、0.34 g/kg、32.75 g/kg、33.10 mg/kg和118.85 mg/kg;(3) 不同林分密度、不同土层土壤有机碳含量、碳密度与土壤全N及P、K的全量和有效量的相关显著性有差异,对整个土壤剖面而言,土壤有机碳含量及碳密度与土壤全N、全P、速效K均呈显著或极显著正相关;(4) 在本研究林分密度范围内,从林地土壤固碳的角度,建议将油松人工林的林分密度控制在1 104 株 / hm2。