中国粮食安全脆弱区的识别及空间分异特征

从粮食获取能力和粮食安全保障阈值的角度, 综合考虑粮食供需平衡、粮食安全储备、 经济补偿能力等因素, 构造综合评价指标-粮食安全保障的财政压力水平, 以粮食安全保障 费用不超过地方财政收入水平的25%作为可接受水平, 共识别出6 个不同类型的粮食安全区。 在没有重大灾害事件发生和现有粮食播种面积不变的前提下, 全国有14.5%的县(市) (1 级和3 级粮食安全区) 能够通过粮食生产或者经济补偿能力保障小康水平的粮食安全。全国29.4% 的县(市) 属于2 级粮食安全区, 其中57%的地区是中国的主要余粮区, 约占全国主要余粮区 中的72%, 因财政收入低、人口密度大, 不能负担庞大的小康水平粮食安全储备费用。中国 粮食安全最脆弱的地区(6 级区) 占全国县(市) 总数的30%, 不具备温饱水平粮食生产能力和 经济补偿能力, 主要包括两类地区： ① 夏季季风区边缘地带的农牧交错带及秦岭地区, 以及 南方贫困的丘陵地区属于“资源型粮食短缺地区”; ② 广西、广东南部以及东部沿海地区等 富裕地区属于“结构性粮食短缺地区”, 过低的粮食自给率已影响到粮食安全应急保障能力。     

蒙古高原NDVI的空间格局及分异

GIMMS NDVI database and geo-statistics were used to depict the spatial distribu-tion and temporal stability of NDVI on the Mongolian Plateau. The results demonstrated that: (1) Regions of interest with high NDVI indices were distributed primarily in forested moun-tainous regions of the east and the north, areas with low NDVI indices were primarily distrib-uted in the Gobi desert regions of the west and the southwest, and areas with moderate NDVI values were mainly distributed in a middle steppe strap from northwest to southeast. (2) The maximum NDVI values maintained for the past 22 years showed little variation. The average NDVI variance coefficient for the 22-year period was 15.2%. (3) NDVI distribution and vege-tation cover showed spatial autocorrelations on a global scale. NDVI patterns from the vegetation cover also demonstrated anisotropy; a higher positive spatial correlation was in-dicated in a NW-SE direction, which suggested that vegetation cover in a NW-SE direction maintained increased integrity, and vegetation assemblage was mainly distributed in the same specific direction. (4) The NDVl spatial distribution was mainly controlled by structural factors, 88.7% of the total spatial variation was influenced by structural and 11.3% by random factors. And the global autocorrelation distance was 1178 km, and the average vegetation patch length (NW-SE) to width (NE-SW) ratio was approximately 2.4:1.0.     

中国沿海地区快速城市化过程中的农村发展

The sustainability of regional rural development depends on the integrated status and the coordination between rural resources-environment conditions and rural socioeconomic development. In this paper a diagnostic indicator system is proposed to appraise four representative rural development models such as Mentougou model, Taicang model, Yueqing model and Qionghai model in the eastern coastal region of China from the integrated perspective of population, resources, environment, and development. In conclusion, the formation and evolution of these diverse rural development models are the direct response to the very different characteristics in the environment, market demand, and regional culture. These models are common in that their sustainability depends on the scientific guidance of the regional development functional positioning, strong intra-regional interactions, and self-adaptability to the external conditions.     

三峡库区坡耕地退耕与粮食安全的空间分异

坡耕地退耕还林还草作为生态环境建设的一项重要措施，已在全国逐步开展。坡耕地退耕使耕地数量减少，并影响到退耕地区粮食产量减少，尤其在坡耕地分布集中、交通不便地区的尤为突出。本文利用GIS技术对三峡库区坡耕地空间分布进行了分析，探讨了三峡库区坡耕地退耕后粮食安全隐患产生的原因，初步揭示了粮食供需矛盾的空间差异，并结合交通便利状况，划分粮食安全区、警戒区，危机区等三种不同类型的区域。     

中国县域城镇化的道路交通影响因素识别及空间协同性解析

本文基于人口普查数据和路网数据,利用空间滞后回归模型和耦合协调度模型等,对中国县域城镇化率的道路交通影响及其空间耦合协同性进行分析,研究表明：①中国县域低城镇化水平的县(区)主要集中在传统农区、集中连片贫困山区、高寒经济欠发达区。经济发展水平与人力资源空间上的错位,致使经济欠发达地区的人口倒挂,异地城市化特征显著;②中国县(区)道路交通优势度宏观上呈现出东西部区域差异和交通枢纽与外围区域的差异,“点—轴”地域结构特征显著,县域道路交通优势度数值呈现偏正态分布;③道路交通是城镇间和城镇与区域间联系的核心纽带和产业转型升级发展的传输廊道,开放式的道路系统增强了农村生产要素非农化转型的市场可介入性,对县域城镇化发展有积极作用。高速公路出口、火车站的布局对城镇化影响和带动农村要素非农化作用较为明显;④中国县域交通优势度与城镇化率耦合协调度分级分布为偏正态分布,城镇化发展与交通优势度相互影响显著,呈一定的双向耦合性。     

中国气候和构造运动对花岗岩地貌的影响

Present granite landform characteristics and distribution are the integrated result of climate, tectonics and lithology. Various types of granite landforms in China signify climate zonality and differential vertical movement of earth surface, while published research results on Chinese granite landforms are very rare, especially in international journals. Based on the process analysis of chemical weathering and physical disintegration, four granite landform regions in China are classified according to the present climate regime. On the Tibetan Plateau, the cold and freezing climate induced periglacial landscapes; the northeast region is characterized by physical disintegration and low round mounds are widespread; in the northwest region controlled by arid climate, wind-carved minor landscapes are extremely prominent. The most spectacular granite landscapes in China are presented in southeast as a result of longtime chemical weathering under humid and warm conditions, as well as the differential uplift after Neogene. Correlating the weathering crust in southern China, Tibetan Plateau and India, a possible unified planation surface in Neogene is proposed. With corestones as indicators of original weathering front, the differential uplift extent of dissected planation surfaces can be estimated. At least three landforms implying uplift can be identified in southeastern China, with elevations of 300–400 m, 2000 m and 3600 m above the sea level respectively.     

多样vs.分裂:论中国人文地理学发展的多元性及其挑战

从哲学、理论、方法和实践4个方面梳理了中国人文地理学内部的多元性,并区分了这些多元性的性质,即哪些是缺乏交流和整合的“散见”、哪些是需要统一和弥合的“歧见”、哪些是认识局限导致的“偏见”。据此建议加强中国人文地理学研究的问题意识和原创性理论研究;减少对“主义”的过度推崇和对方法的盲目崇拜;加强定性方法和定量方法的交流及论证过程的严谨性;在政策取向上取得“求真”和“务实”的平衡;提高学科发展的自信和对不同研究视角的包容。此外,应该在研究选题、杂志建设和奖项设置等操作层面推动人文地理学的理论整合。     

城市居民日常身体活动时空分异特征及影响因素

依托南京主城区居民日常身体活动调查数据,基于身体活动时空维度,挖掘城市居民日常身体活动时空分异特征,并采用混合效应模型探究身体活动分异的影响因素。研究表明：① 居民日常身体活动时空异质特征明显。工作日/非工作日不同类型身体活动时间安排及个体间差异均显著;工作性、交通性、家务性身体活动空间制约明显,而休闲性身体活动空间分布更具弹性;与工作日相比,非工作日不同类型身体活动空间范围变化收敛与扩散特征并存。② 活动空间范围、个人社会经济属性、自身健康状况对居民日常身体活动分异均具有显著影响。具体而言,居民日常活动空间范围决定身体活动的空间适应与选择;社会分工差异导致不同性别、年龄人群身体活动具有指向性;身体活动时间出现与个人社会经济实力倒置现象;而良好健康状态会激励居民日常身体活动的保持。     

中国数字经济空间分异及影响因素

基于腾讯研究院公布的数字经济指数,运用插值模拟、Zipf位序-规模法则及地理探测器等方法,对2016年中国数字经济发展的空间分异特征进行分析,并对其影响因素进行探测比较。结果表明：① 中国数字经济发展空间分异明显,省域尺度呈现出自东向西梯度递减的特征,但川、渝成为创新发展新极点;城市尺度,城市群地区是数字经济发展高地。② 数字经济各分维度发展的协同性与差异性特征并存,但差异性更为显著。③ 国家层面,政府对科学技术方面的投入对数字经济的发展起重要作用;东部地区影响因素相对多样;信息化基础与潜力方面因素对中部地区起主导作用,且各因素交互后作用力显著加强;西部地区受多种因素的综合作用,不存在具有决定性的影响因素;东北地区的影响因素则相对单一。     

21世纪中国主要粮食产区的空间格局特征

Grain production is an important issue for the national economy and the livelihood of the Chinese people. It serves as the foundation of national development and social stability. China is a major grain producer as well as a major grain consumer. The grai…     

Regional differences of vulnerability of food security in China

In view of food affordability and the threshold for food security, this paper has established an integrated index for assessing the vulnerability of food security in China, which is composed mainly of the balance between food supply and demand, the reserve for food security and the economic capacity for offset food demand. Six types of food security regions are identified based on the data from county-level statistics. At regional scale, China’s food security is not optimistic. Under normal conditions without the emergence of extreme disasters and decline of grain-sown areas, China’s most vulnerable areas (Type VI) account for 30.3% of the total number of counties (cities), which are unable to meet the ends by food productivity or market based measures at subsistence levels. In China, there are only 14.5% of the counties (cities) that could guarantee well-off food security through grain production (Type I) or economic measures to meet the demand by themselves (Type III). According to the different vulnerable levels of food security and its dominant forming factors, vulnerable regions of food security in China could be classified into three categories: (1) Vulnerable regions of food security dominated by natural factors (including Type IV and Type VIa), which account for 39.4% of the total number of counties (cities), mainly located in fragile ecologic zones, i.e., farming-grazing transitional zones in the marginal areas of summer monsoon, the poor hilly areas in southern China and so on; (2) Vulnerable regions of food security dominated by low ratio of grain-sown areas (including Type VIb and Type V), which account for 16.7% of the total number of counties (cities), mostly located in the developed areas in the eastern coast of China; (3) Potential vulnerable regions of food security with underdeveloped local economies (Type II), of which 57% are the main grain-surplus regions in China, mainly located in the areas of plains and basins with favorable climate.     

Scenario-based assessment of future food security

This paper presents a scenario-based assessment of global future food security. To do that, the socio-economic and climate change scenarios were defined for the future and were linked to an integrated modeling framework. The crop yields simulated by the GIS-based Environmental Policy Integrated Climate (EPIC) model and crop areas simulated by the crop choice decision model were combined to calculate the total food production and per capita food availability, which was used to represent the status of food availability and stability. The per capita Gross Domestic Product (GDP) simulated by IFPSIM model was used to reflect the situation of food accessibility and affordability. Based on these two indicators, the future food security status was assessed at a global scale over a period of approximately 20 years, starting from the year 2000. The results show that certain regions such as South Asia and most African countries will likely remain hotspots of food insecurity in the future as both the per capita food availability and the capacity of being able to import food will decrease between 2000 and 2020. Low food production associated with poverty is the determining factor to starvation in these regions, and more efforts are needed to combat hunger in terms of future actions. Other regions such as China, most Eastern European countries and most South American countries where there is an increase in per capita food availability or an increase in the capacity to import food between 2000 and 2020 might be able to improve their food security situation.     

基于空间模型的全球粮食安全评价

This paper presents a scenario-based assessment of global future food security. To do that,the socio-economic and climate change scenarios were defined for the future and were linked to an integrated modeling framework. The crop yields simulated by the GIS-based Environmental Policy Integrated Climate (EPIC) model and crop areas simulated by the crop choice decision model were combined to calculate the total food production and per capita food availability,which was used to represent the status of food availability and stability. The per capita Gross Domestic Product (GDP) simulated by IFPSIM model was used to reflect the situation of food accessibility and affordability. Based on these two indicators,the future food security status was assessed at a global scale over a period of approximately 20 years,starting from the year 2000. The results show that certain regions such as South Asia and most African countries will likely remain hotspots of food insecurity in the future as both the per capita food availability and the capacity of being able to import food will decrease between 2000 and 2020. Low food production associated with poverty is the determining factor to starvation in these regions,and more efforts are needed to combat hunger in terms of future actions. Other regions such as China,most Eastern European countries and most South American countries where there is an increase in per capita food availability or an increase in the capacity to import food between 2000 and 2020 might be able to improve their food security situation.     

中国农产品贸易结构演化及对粮食安全的影响

利用可比净出口指数、贸易集中度指数、Hilbert曲线、时空多元模式可视化、岭回归等方法,对1992—2020年中国农产品贸易结构演化进行分析,并解释其与粮食安全的关系。结论认为：① 1992—2020年中国农产品贸易总体格局发生了转变,表现为对国际进口的依赖显著增强,猪肉、牛肉、玉米、高粱、油菜籽等众多农产品由出口转变为进口状态。快速增长的进口直接增加了国内食物的供应,提升了粮食安全水平。② 农产品进口呈现产品结构和空间结构双集中的叠加效应,这种效应使得重点农产品进口极易受美国、澳大利亚等少数国家贸易政策变化的不利影响;在出口方面,农产品集中度较小,随着与“一带一路”等地区国家贸易的发展,地理集中度也显著降低。较低的集中度有利于稳定出口的经济效益,保障出口部门农业生产的稳定性。③ 中国农业生产出现部分进口产品生产规模压缩的趋势,加上高度集中的进口结构,将使得国内农业生产与粮食安全保障在面对外部冲击时更加脆弱。建议在坚持贸易开放的同时,优化农产品的生产和贸易结构,引导形成合理的农业种植格局。     

1990-2015年中国工矿用地扩张及其对粮食安全的潜在影响

中国城市化和工业化进程所带来的粮食安全问题一直是政府和学术界关注的焦点。中国近25年来快速的城市化与工业化导致耕地资源减少和环境污染加剧,对国家粮食安全和农业可持续发展产生一定影响。本文基于中国土地利用/覆盖变化最新解译结果和中国分县粮食产量数据,重建了中国1 km分辨率的粮食产量空间数据,分析了中国1990-2015年工矿用地扩张及其对粮食产能的影响。结果表明：中国工矿用地面积在1990-2015年间增长了326%,扩张速率从1990-2000年的288 km²/a增加到2000-2010年的1482 km²/a,近5年(2010-2015年)扩张速率最快,达2600 km²/a。过去25年间工矿用地扩张导致耕地面积减少1.7×10⁴ km²,直接导致粮食产能损失约6.49 Mt(10⁶ t),因工矿用地扩张可能会对周边耕地污染等间接影响的粮食产量达83.20 Mt。经评估,国家工矿用地扩张对粮食产能潜在影响总体上是当前粮食总产能的17%。在空间分布特征方面,工矿用地扩张对粮食产能的直接影响呈现由东部沿海地区向西北地区逐渐减小趋势;间接影响在中部和西部地区相对较大。     

中国食物安全基础的定量评估

食物安全水平受粮食生产和供给能力、食物结构的多样化以及居民的收入水平或获取维持生命所需食物的能力等因素共同作用和影响。本文从食物安全的内涵出发,依据评价指标选取原则,选定了与食物安全密切相关的评价指标,包括粮食自给率、食物消费水平及居民消费水平等,构建了食物安全可持续性综合指数模型,计算了1950～1998年我国食物安全可持续性综合指数,对我国食物安全可持续状况进行了单因子和多因子综合评价。结果表明:在50年代我国处于食物基本安全状态,60～70年代处于食物不安全状态,80年代初期及至90年代已进入食物安全阶段。从60年代开始食物安全水平逐年提高,80年代以来进入持续良性发展阶段。     

Theorizing food insecurity: building a livelihood vulnerability framework for researching food insecurity

Food insecurity and increasing impoverishment of the masses in developing countries constitute a challenge for social scientists, whose theories have tried to catch up with the enormous challenges of diversity, dynamism and the impacts of the forces of­‘glocalisation’. This article reviews the efforts in the social sciences towards understanding food insecurity and suggests a framework incorporating dynamism and diversity in rural communities in the research process. Structural changes affecting peasant economies and peasant responses make existing general theories inappropriate without a contextual treatment. Insights from existing theories are used to construct a livelihood vulnerability framework for researching and understanding food insecurity in rural areas.     

全球变化对中国粮食安全的影响分析

以斯德哥尔摩环境研究所(SEI)建立的粮食需求和供应模型为基础,同时采用Ds和Shaw建立的全球变化各因子对粮食需求和供给影响的模型对其变量进行修正,结合唐国平、李秀彬的结果,模拟计算了全球变化条件下,我国未来粮食需求量和产量。在分析中发现:受全球变化的影响,在保持人民消费水平持续增长的条件下我国未来粮食生产有可能不能满足需求增长的要求,存在7～8%的粮食缺口。但是,由于全球变化的各个因素都存在很大的不确定性,而且技术进步对增加粮食产量有很大促进作用。计算结果揭示,只要采取正确的措施来尽量减少全球变化带来的不利影响,危机是可以避免的     

A comprehensive assessment of urban vulnerability and its spatial differentiation in China

The urban vulnerability poses a serious challenge to achieving sustainable development. With the concentration of the population and the economy, cities must manage the higher frequencies and risks of various hazards and are becoming more vulnerable. Research on the assessment and regulatory control of urban vulnerability is of great significance for both urbanization quality improvement and sustainable development in China or other countries in the world. Because of the complexity of cities and vulnerability concepts, existing studies have focused on different aspects of urban vulnerability. And the research content of urban vulnerability is scattered and relatively independent, leading to a lack of comparability among the research data and resulting in tremendous difficulties in summarizing the conclusions through comparison of independent research data. Therefore the goal of this study was to construct urban vulnerability index (UVI) from the perspective of sustainable development that could assess urban vulnerability comprehensively. In this study, we selected 10 subindexes involving 36 specific parameters from four aspects (resources, eco-environmental systems, economics, and social development) to construct a comprehensive index system. We also established the standard values of measurements. Then we take 288 prefecture-level cities in China as a study area and evaluate its overall urban vulnerability and its spatial differentiation. Results indicate that urban vulnerability of China has a remarkable spatial differentiation of both “gradient distribution” and “clustered distribution”; the extent of urban vulnerability corresponds to city size, the bigger the city, the lower its vulnerability; resource-based cities are more vulnerable than comprehensive cities; a city’s economic growth rate does not reflect the extent of its urban vulnerability. Further, we offer a few suggestions to cope with urban vulnerability in China.