Labor Location and Agricultural Land Use in Jilin,China

Conventional agricultural land‐use theory overlooks labor location and its effects on land use. This paper argues that in labor‐intensive commercial agriculture where labor concentrates in large labor centers (villages), the distance from the labor center is more important than the distance from market in determining land use and land rent and is important at both the microscale and larger scales. Both qualitative observations and quantitative field level land‐use research in Jilin, China, support this approach. A new model is developed to incorporate labor location into the conventional land‐use model. It regards agriculture as an industry using localized gross inputs.     

Future landscapes of Switzerland: Risk areas for urbanisation and land abandonment

In Switzerland, the decreasing significance of agriculture has led to prominent processes of land abandonment in mountainous areas where the maintenance of open land relies on human intervention. At the same time, urbanisation in Switzerland is increasing at a rapid rate at the expense of other land use types, particularly open land agriculture. In spite of these observed trends, the extent and location of anticipated land-use changes for the coming 20 years remain unknown, as does the impact on landscape services. This research defines 5 scenarios of future land-use for Switzerland along axes of Globalisation to Regionalisation and Market-driven developments to high policy intervention. Using the Dyna-CLUE land use modelling framework we incorporate socio-economic and bio-geographical variables to model scenarios of land change for 2035. By identifying locations for key land use transitions which occur across several scenarios, we find that unless large scale policy interventions are made, large areas of the Swiss Plateau and Alpine valley bottoms face strong urbanisation and much of the mountainous pasture agriculture continues to face risk of abandonment.     

Accessibility and land-use patterns at the forest fringe in the northeastern part of the Philippines

Accessibility is considered to be one of the most important determinants of use and land-cover change. In rural land-use change studies, the accessibility situation is often described by simple measures of the distance to a location of interest. In this paper, different measures of access are tested for a rural area at the forest fringe in the northeastern Philippines. The accessibility measures addressed range from simple distance measures to land-use type specific transport costs and a population potential measure. The different measures are tested based on their capacity to explain the spatial pattern of different land-use types. A comparison of the findings based on a spatial analysis and an analysis of household level data is made. It is concluded that the relation between land use and accessibility is dependent on the specific characteristics of the different land-use types. The (dis-)advantages of the use of the different accessibility measures are discussed.     

农村劳动力流失对农地利用的影响浅析——基于对重庆市九龙坡区的调查

研究目的：探讨农村地区劳动力流失引起的劳动力短缺对农地利用变化的影响。研究方法：访谈法和文献资料法。研究结果：由于农业比较利益低于其它行业,当前农村中有能力的人以及中青年人大量离开农村,进入城镇,从事非农行业;在家务农的基本上都是年老的、文化水平低的农民,这导致农村土地粗放经营甚至撂荒,利用率极低。研究结论：应加快土地流转,使土地向种田能手或农业个体户（组织）集中;加大对农业的投入,改善农业生产环境,提高综合生产能力;提高农业经营的比较效益,吸引更多有能力、有水平的人加入到农业中来,发展现代化、专业化、规模化农业。     

Land-use configuration under traditional agriculture in the Kanto Plain,Japan: a historical GIS analysis

Under traditional agriculture, Japanese farm communities arranged land uses to collect natural resources from the surrounding landscape to support intensive cultivation nearby villages. This may have produced a land-use pattern analogous to the European infield–outfield system, a type of concentric ring model of land use centered on villages. This study applies a multiple buffer analysis to a Japanese rural landscape depicted in historical maps surveyed in the 1880s, to investigate the spatial patterns that had existed under traditional agriculture for a study area in the Kanto Plain near Tokyo. About 60% of the landscape depicted in the map area consisted of woodlands and grasslands. The land-use pattern combined a concentric ring pattern centered on villages and a parallel band pattern arrayed across the upland plateau between rice paddies. The modal distance from villages to rice paddies was about 400 m, suggesting that the villages were deliberately located at this distance along the rice paddies in the long, narrow river valleys. The distance distribution of other land uses suggests that high priority was given to locating dry fields close to villages, and grasslands in the center of the upland plateau, while woodlands followed a distribution expected from the distances available within the map area. The analysis lends support to the suggestion that traditional rural landscapes were not a random mosaic of various land uses, but often had a spatial structure, that can be accounted in plans to preserve or restore them. The multiple buffer analysis also suggests that distance from key landscape features, in itself, can be considered a limited spatial resource because only a limited amount of area exists for each distance zone.     

山东半岛城市群高速交通优势度与土地利用效率的空间关系（英文）

Land-use efficiency is low for the urban agglomeration of China. High-speed transportation construction has been an important factor driving land use change. It is critically important to explore the spatial relationship between the high-speed transportation superiority degree and land-use efficiency. We built a model to evaluate the benefits of convenient high-speed transportation using the relative density of highways and the distance from high-speed rail stations and airports as a metric. We used 42 counties of the Shandong Peninsula urban agglomeration as an example. Land-use efficiency was calculated by a DEA model with capital, labor, economic benefits and environmental benefits as input and output factors. We examined the spatial relationships between high-speed transport superiority degree and land-use efficiency and obtained the following results. First, there are significant spatial differences in the relationships between the high-speed transportation superiority degree and land-use efficiency. Taking the two major cities of Jinan and Qingdao as the hubs, the core surrounding counties show significant spatial relationship between land-use efficiency and the high-speed transportation superiority degree. Spatial correlation declines as the distance from the hubs increases. Land-use efficiency is less than high-speed transportation convenience in areas along the transportation trunks that are distant from the hub cities. Correlation is low in areas that are away from both hub cities and transportation trunk routes. Second, high-speed transportation has a positive relationship with land-use efficiency due to the mechanism of element agglomeration exogenous growth. Third, high-speed transportation facilitates the flow of goods, services and technologies between core cities and peripheral cities as space spillover(the hub effect). This alters the spatial pattern of regional land-use efficiency. Finally, the short-board effect caused by decreased high-speed transport construction can be balanced by highway construction and the proper node layouts of high-speed rail stations and airports, resulting in a well-balanced spatial pattern of land-use efficiency.     

中国省域耕地集约利用态势与驱动力分析

基于“理性小农”、超边际经济学等理论,建立了农户耕地集约利用解释的理论框架。构建了集约利用度指数 (CII) 和驱动力模型,分析了1996-2008年中国省域的耕地集约利用程度及其影响因素。研究结果表明：我国耕地利用集约度总体大幅度提高,但地域差异明显,初步形成了第一阶梯较高集约度、第二三阶梯较低集约度的空间格局;耕地集约利用的首要贡献来自于化肥、机械、农药等省工性劳动的大量使用,其次是资本投入和劳动力;耕地自然本底条件、耕地经济收益和劳动力生产率,与耕地集约度呈正相关,而耕地非农化效益与耕地利用集约度呈负相关。基于研究结论的政策引申：加强政策引导,科学合理使用非可再生能源等省工性劳动;切实改善农业生产条件,适度规模经营,提升劳动生产率和耕地综合生产力;提高耕地经营性经济补贴标准,激励农户稳定从事农业生产的积极性。     

基于logistic回归模型的农牧交错区土地利用变化驱动力分析——以内蒙古翁牛特旗为例

本文以农牧交错带的典型区域——内蒙古翁牛特旗为例,考虑土地利用变化过程的空间变量,建立了不同土地利用变化过程的logistic回归模型。结果表明:模型中转为耕地的主要解释变量是到农村居民点的距离和农业气候区;转为草地的主要解释变量是到农村居民点的距离、土壤表层有机质含量和到乡镇中心的距离;转为林地的主要解释变量是到农村居民点的距离和海拔;空间异质性和土地利用变化过程的时间变量共同影响着使用logistic回归模型来解释土地利用变化驱动力的能力;通过对草地logistic回归模型的检验,得出空间统计模型能较好地揭示不同土地利用变化过程的主要驱动力及其作用机理。     

Land use legacies of the Ohio River Basin: Using a spatially explicit land use change model to assess past and future impacts on aquatic resources

Land uses and their legacies are a major driver of human impacts on the environment. Decision makers have recognized that the legacies of land-use activities continue to influence ecosystems, particularly aquatic ones, for decades or centuries. The main objectives of this paper are to develop land use legacy maps to (1) assess historical and future (predicted) shifts in dominant land use classes (urban, agriculture, forest) in the Ohio River Basin (ORB), and (2) determine the past and future location of catchments in the ORB exceeding critical land use thresholds (10% and 38% urban and agricultural use of catchment respectively) for water quality and other aquatic resources. Our land use legacy simulations show that approximately 80% of the ORB has remained as agriculture (∼37%), forest (∼34%), urban (∼7%) and other classes (∼2%) from 1930 to 1990. Within the remainder of landscape, agriculture to forest (∼16%) and agriculture to urban (∼1.5%) transitions were the most common land use changes between 1930 and 1990. Our forecast model shows that approximately 94% of the ORB will remain as forest (∼47.46%), agriculture (∼35.77%), urban (∼8.84%) and other classes (∼2.07%) between 2000 and 2050. 1.44% and 1.37% of the ORB is predicted to transition from forest to urban and agriculture to urban between 2000 and 2050, respectively. Our results also demonstrate that 13% and 74% of the catchments in the ORB already exceeded critical urban and agricultural land use thresholds in 1930, respectively. We predict that 37% of catchments in the ORB will have exceeded critical urban land use thresholds by 2050, whereas the proportion of catchments to exceed critical agricultural use will decrease to 45%.     

北京市土地利用空间格局演化模拟及预测

土地利用空间格局的演化模拟可定量地从空间尺度揭示区域土地利用变化的驱动因素,是厘清未来时期内土地变化的重要途径。基于CLUE-S模型,以北京市为研究案例,结合1985、2000和2010年三期土地利用数据,运用Logistic逐步回归方法识别了北京市各种土地利用类型演化的驱动因素,对北京市土地利用空间格局进行模拟。在此基础上,基于北京市社会经济发展、土地利用规划、资源禀赋及生态保护等不同情景,对北京市2020年土地利用空间分布格局进行模拟及预测。结果表明：①不同的时期内,驱动因子对不同土地利用类型的影响呈现差异性,其中交通因素及社会经济因素对土地利用类型的转化率影响较显著,坡度对各个土地利用类型的影响较大。②通过对2010年北京市土地利用变化的模拟结果来看,Kappa指数为87.03%,说明预测结果与实际土地利用情况有较好的一致性。③预测结果显示,北京市的城市发展均表现为继续向外扩展,且以东南、东北为主要扩展方向,但扩张的程度存在差异。     

龙口市海岸带土地利用动态变化分析

利用多期遥感数据,采用目视解译和人机交互计算机分类技术提取1984至2004年间龙口市海岸带土地利用信息,从土地利用总量变化、土地利用变化速度、土地利用类型之间的相互转化、土地利用类型变化的海岸区位效应等方面分析龙口市海岸带动态变化特点。研究结果表明,20年间龙口市海岸带一半以上的土地类型发生了变化,变化速度逐年增加,后期明显大于前期;转化方向上主要表现在耕地向园地的转化,其次是耕地、园地、林地向建设用地的转化;变化的区位特征是距海越近,海岸带特征地类的变化越明显,反之,距海越远,内陆土地利用变化的特点表现得越突出。     

山东半岛城市群高速交通优势度与土地利用效率的空间关系

中国城市群正面临着土地利用效率偏低的问题,而高速交通建设是驱动土地利用变化的一个重要因素,因而探究高速交通建设与土地利用效率的空间关系将是一个重要议题。以山东半岛城市群42个陆域县级单元为例,采用高速公路相对密度、与高铁站点及机场的空间距离等指标,构建高速交通优势度评价模型,并以土地、资本、劳动力及经济、环境效益作为土地投入产出要素,采用DEA模型测算土地利用效率。通过分析高速交通优势度和土地利用效率的空间关系,结果发现：① 两者之间的协调性存在空间差异性,以济南、青岛两大枢纽为中心,枢纽圈层（另含青州、威海次级枢纽）呈现显著的空间协调性,而随着与枢纽城市距离的增大,空间协调性呈现衰减态势,其中潍坊、海阳等远离枢纽城市的交通干线沿线地区土地利用效率滞后于高速交通优势度,而利津、垦利和五莲等远离枢纽城市和交通干线的欠发达地区呈现低水平的空间协调性;② 缘于要素集聚与内生增长机制,高速交通类型多样性与土地利用效率具有显著的正向关系;③ 高速交通可通过枢纽效应促进优势要素与技术以空间外溢的形式在核心城市与一般城市之间传递,进而重构区域土地利用效率空间格局;④ 高速公路的均衡建设促使山东半岛城市群破除了高速交通建设的短板效应制约,土地利用效率空间格局整体呈现均衡态势,加之高铁站点、机场节点式布局明显,导致土地利用效率呈现宏观上高效集约、微观上团-轴凸显的空间格局。     

江西省土地转移驱动力分析

This article explores the factors and mechanism driving the land-use conversion at regional level by developing and using an econometric approach which is called the simultaneous equations model (SEM). A case study in Jiangxi Province of China is conducted by establishing the SEM, which consists of three equations including agricultural production, land conversion of cultivated land to built-up area and land conversion of cultivated land to forest cover/grassland from 1988 to 2005. And then this paper employs the method of piecewise estimation to represent the influences of the factors such as population, society, economy, location and geophysical conditions on the process of land-use conversion in Jiangxi Province. Estimation results show that population is a predominant factor driving the land-use conversion at counties, while social and economic factors are determinant factors in the short term for the entire Jiangxi Province. Specifically, the size of agricultural population and the magnitude of agricultural input determine the agricultural production to a large extent; population size, plain area proportion at counties and land management policies together affect the direction and magnitude of conversion between cultivated land and built-up area; agricultural population proportion, terrain slope, grain production and non-agricultural industry promote the conversion of cultivated land to forest cover/grassland. Furthermore, the explored mechanism also reveals the underlying causes of the land use changes driven by a series of factors in Jiangxi Province. Finally, this paper concludes that factors proven to play an important role in driving the land-use conversion need to be considered when the land management agencies make out the land use planning to optimize the land use, expand the agricultural production, and conserve the cultivated land.     

Factors and mechanism driving the land-use conversion in Jiangxi Province

This article explores the factors and mechanism driving the land-use conversion at regional level by developing and using an econometric approach which is called the simultaneous equations model (SEM). A case study in Jiangxi Province of China is conducted by establishing the SEM, which consists of three equations including agricultural production, land conversion of cultivated land to built-up area and land conversion of cultivated land to forest cover/grassland from 1988 to 2005. And then this paper employs the method of piecewise estimation to represent the influences of the factors such as population, society, economy, location and geophysical conditions on the process of land-use conversion in Jiangxi Province. Estimation results show that population is a predominant factor driving the land-use conversion at counties, while social and economic factors are determinant factors in the short term for the entire Jiangxi Province. Specifically, the size of agricultural population and the magnitude of agricultural input determine the agricultural production to a large extent; population size, plain area proportion at counties and land management policies together affect the direction and magnitude of conversion between cultivated land and built-up area; agricultural population proportion, terrain slope, grain production and non-agricultural industry promote the conversion of cultivated land to forest cover/grassland. Furthermore, the explored mechanism also reveals the underlying causes of the land use changes driven by a series of factors in Jiangxi Province. Finally, this paper concludes that factors proven to play an important role in driving the land-use conversion need to be considered when the land management agencies make out the land use planning to optimize the land use, expand the agricultural production, and conserve the cultivated land.     

土地利用动态模拟模型的构建及其应用——以北京市海淀区为例

CLUE-S模型是一个基于经验统计原理的模拟多土地利用类型空间变化的动态模拟模型,它在世界多个国家和地区的区域尺度农业、森林为主的土地利用变化模拟中得到应用。作者对CLUE-S模型进行了改进,改进后的模型 (CLUE-SII) 引入了动态计算的邻域分析因子,可以对土地利用变化中的自发过程、自组织过程和土地利用类型间的竞争进行模拟,还可以根据研究区域特点构建不同的模拟方案,在这些模拟方案中,局地因子和邻域因子在土地利用变化中的作用方式不同。应用CLUE-SII对北京市海淀区1991~2001年土地利用变化进行了多方案模拟,结果表明邻域因子对城镇用地变化具有重要作用,其中将邻域因子看作自发过程放大因子的模拟方案获得了较好的模拟结果,整图符合比达到77%,其中城镇用地符合比达到82%,Kappa值达到0.754。CLUE-SII在北京市海淀区的应用实例表明,该模型可以对高分辨率和多土地利用类型下的城市扩展进行有效模拟,扩展了CLUE-S的应用领域;通过构建多模拟方案,不但可以探索最佳的模拟结果,还可以研究和分析不同土地利用驱动因子在土地利用变化中的作用模式。     

AutoLogistic 方法在土地利用格局模拟中的应用 —— 以张家界市永定区为例

土地利用/ 土地覆被变化(LUCC) 是当前研究全球变化的重要内容, 而区域土地利用 格局模拟是LUCC 研究的核心内容之一。以张家界市永定区为研究单元, 根据由2005 年土地 利用现状图和数字高程模型数据源得到的土地利用、地形、河流以及道路等空间数据, 对区 域土地利用类型空间格局的空间自相关性特征进行了建模研究, 并通过在传统Logistic 模型 中引入描述空间自相关性的成份, 实现了能够考虑自相关性因素的回归分析模型 (AutoLogistic 模型), 同时应用该模型对区域土地利用格局进行了模拟和分析。结果显示, 通 过与没有考虑空间自相关性的回归模型(传统Logistic 模型) 相比较, 该模型显示了更好的拟 合优度和更高的拟合准确率(耕地、林地、建设用地及未利用地的ROC 值分别从0.851、 0.913、0.877 和0.852 提高到0.893、0.940、0.907 和0.863)。研究结果说明了基于 AutoLogistic 方法的土地利用格局的相关性建模在一定意义上是合理的。同时研究结果也可以 为永定区及其相似地区的土地利用规划决策提供更为科学的依据。     

山区合适耕地经营规模确定的实证研究——以重庆市为例

在地形起伏、地块破碎、分布半径较远等约束下,山区多大的经营规模是合适的?这是目前必须弄清的科学问题之一。使用480份有效调查问卷,以投入农业的劳动力为测算单位,以劳均纯收入为评价指标,分作物类型和地块分布半径,构建计量经济模型,测算不同条件下合适的耕地经营,结果表明：① 在现有社会经济条件下,样本村农业土地适度规模经营面积为24~32亩,适度规模下的劳均纯收入远高于当前农村人均纯收入,且与城镇居民的差距明显缩小。② 作物类型对适度规模影响不大,但对农民纯收入产生较大作用。经济作物和粮食作物的适度规模分别为24.33亩、24.63亩,差异不显著,但种植经济作物和粮食作物在适度规模下的劳均纯收入相差3638元,巨大的差距将促使经济作物种植面积不断扩大。③ 距离对适度规模影响较大,但对劳均纯收入影响不大。0.5 km内、0.5~1 km的适度规模分别为28.62亩、31.83亩,单位劳动力的适度规模相差3亩,这表明距离是目前从事农业生产时劳动力投入时须考虑的重要因素。但是,对应的劳均纯收入相差较小,又说明伴随耕作距离的增加,更多的投入主要依靠机械来完成,从而带动适度规模的扩大。1 km外的建模未通过检验,也进一步说明未实现规模经营、没有进行机械化耕作、离家远的土地收支严重不平衡,撂荒严重,规模化经营、机械化耕作是解决距离问题的有效途径。本文得出的土地适度规模是可行的,也验证了推进土地适度规模经营的可行性和必要性。     

宁夏农地资源劳动力承载力时空分析

在建设社会主义新农村的新形势下,农业劳动力的就业和剩余劳动力的转移问题已成为中国当前面临的一个重大社会问题。运用农地资源劳动力承载力测算的理论方法,对宁夏1995-2004年间以及2004年宁夏各市县的农地资源劳动力承载力进行时空分析比较。结果表明:10年来,宁夏农地资源劳动力承载力一直处于轻度超载状态,其中北部引黄灌区各市县属承载力富余区;而南部山区各市县则属重超载区,存在着较大数量的农业剩余劳动力。因此,宁夏要建设和谐的人地关系,必须在继续加强生态环境保护、提高农地资源综合生产能力的同时,大力推进超载区农业剩余劳动力的产业转移和空间转移。     

拉萨地区土地利用变化情景分析

根据西藏拉萨地区1990年、1995年和2000年3个时点的土地利用数据,应用马尔科夫过程模型分析了未来20年内拉萨地区的土地利用情景变化,并与90年代制定的拉萨地区土地利用规划面积进行了对比研究。研究结果:1)10年间,土地利用类型变化最广泛的是牧草地。变化方向主要由牧草地向耕地、园地、林地、居民点及水域转变,其中变成林地的面积最大,为2338.25hm²(占变化面积的94.093%);2)拉萨地区未来20年中土地利用类型发展趋势是耕地、牧草地、水域和未利用土地面积将进一步减少,林地、园地和居民点面积将进一步增加;3)土地利用规划面积与基于马尔科夫模型的土地利用变化情景分析结果比较吻合,马尔科夫过程模型对制定该区域土地利用规划具有重要的参考价值;4)由于土地利用变化是一个复杂的过程,不仅受到众多自然因素的影响,而且受到未来土地利用政策、社会经济发展、区域内大型工程项目及其他人类活动等不确定因素的影响,从而不同土地利用类型之间的转移概率会发生变化,使得基于马尔科夫过程模型预测的精度有一定的局限性。     

基于PSR模型的农区土地利用冲突强度的诊断

随着工业化、城镇化进程的加快,农村土地利用冲突越来越多,分析不同农区土地利用冲突的形式,评估土地利用冲突的强度,对农村发展具有重要意义.本文采用相关分析、主成分分析的方法,从引起鄢陵县耕地利用变化的32 个因子中,提取了6 个主要压力因子,根据鄢陵土地利用结构变化情况和区域政策、制度及其社会响应状况,建立特色农区土地利用冲突强度的评价指标体系,用加权函数法进行冲突强度的评价.研究表明,土地利用冲突强度呈波动增加趋势;土地利用冲突的原因主要是：①经济发展及经济结构调整因素;②农业种植结构的调整;③科技进步以及政策等因素的影响.因此,政府可通过市场手段、规划制度等进行调控,提高区域土地资源的配置效率,引导土地利用方式的规范转化,以减缓或化解土地利用冲突.