2000—2013年山东省耕地资源时空格局演变研究

耕地是指种植农作物的土地,是人类赖以生存的基本资源和条件。利用《山东统计年鉴（2001—2015）》数据,运用GIS技术对山东省耕地资源的时空分布格局进行了研究,结果表明：2000—2013年间的耕地面积整体上呈上升趋势,分为衰减和调整两个阶段,2012年以后耕地面积有回落的趋势,值得重视;从耕地资源的阶段特征分布来看,全省耕地资源呈现西多东少的特点,土地垦殖率的增长呈现向东拓展的趋势;从耕地资源的整体特征分布来看,2000—2013年间山东省耕地面积年均增长率1.11%,鲁中南地区年均增长率稍快达1.45%,鲁西北地区土地垦殖率最高为60.03%,耕地面积最广的是潍坊市,土地垦殖率最大的是聊城市,土地垦殖率为67.10%,大约2/3的国土为耕地。     

大庆市耕地利用中存在的问题与对策

一、大庆市耕地利用现状分析（一）耕地数量分析根据大庆市2010年土地利用现状变更调查统计数据,全市土地总面积2121872．67公顷,其中耕地面积630334．35公顷,占土地总面积29．71％,占农用地面积的40．1％,其中旱地588914．0公顷,占耕地面积的93．43％,水田40571．4公顷,占耕地面积的6．44％,水浇地848．9公顷,占耕地面积的0．13％。大庆市耕地面积大,垦殖率高。     

三江平原萝北县湿地农田化过程与驱动机制分析

通过获取三江平原萝北县自1954年以来的六期土地利用数据,定量分析了过去50余年湿地农田化过程,并从自然因素和人为因素两方面探讨了湿地农田化过程的驱动机制。结果表明,1954-2005年,三江平原萝北县耕地面积净增21.85×10⁴hm²,湿地是新增耕地的主要来源。在空间上,湿地斑块越来越分散,景观破碎化程度明显加剧,而耕地斑块则趋于集中分布;目前,耕地已成为三江平原萝北县的基质景观,地势低平、坡度较小、土壤条件、地貌条件良好的平原区是湿地农田化的首选区域。随着可开垦湿地资源的减少,人类的开垦对象开始转向地势、土壤、地貌等条件相对较差的湿地景观单元。气候变暖加速了湿地农田化进程,而人口数量的增加和政策的引导作用,对湿地农田化过程具有重要的影响。     

我国耕地保护经济补偿分区及其补偿额度测算——基于省级耕地-经济协调性视角

正近年来,虽然我国实行了世界上最严格的耕地保护政策,但重约束、轻激励,加之耕地资源地域分布失衡,耕地分布重心持续北移,耕地资源减少的趋势并未从根本上得以遏制。第二次全国土地调查(简称"二调")主要数据成果公报显示,我国人均耕地面积由1996年的0.106 hm~2下降至2009年的0.101 hm~2,不及世界人均水平的一半。同时,区域耕地资源不协调问题凸显。农业生产条件优越的东部地区耕地面积2630万hm~2,仅占全国的19.43%,而     

浅析青海省未利用地开发利用现状及利用潜力

青海省位于青藏高原东北部,境内地形复杂,地貌以高原山地为主,耕地资源稀缺,未利用地分布广泛。未利用地面积约占全省土地总而积的35％,开发利用潜力巨大。     

山西省不同地貌形态类型区土地覆被变化的GIS分析

基于全国1:100万数字地貌数据库,全国2000、2005、2010年土地覆被数据和山西省行政区边界数据,采用土地覆被动态度、转移概率矩阵和地貌面积频度方法,分析了2000-2010年山西省基本地貌形态类型下的土地覆被变化。结果表明：（1）山西省的土地覆被类型以耕地、林地和草地为主,面积总和占省域面积的95%以上。面积变化的总体趋势是耕地和草地缩减,林地和建设用地持续增加。通过分析转移概率矩阵,表明2000-2005年和2005-2010年2个时段内,土地利用的主要转化趋势相似,即林地与草地之间大面积的相互转化,耕地、草地分别与建设用地之间的相互转化。（2）耕地和建设用地的分布,随着起伏度的增大而逐渐减小。林地分布随着起伏度的增加而逐步增大。从面积变化来看,耕地、林地和草地变化主要位于中起伏山地;水域变化主要集中在大起伏山地;建设用地变化主要分布于平原和台地;未利用地变化主要在小起伏山地。从动态度来看,耕地、草地和水域动态度,在大起伏山地地区最大;林地动态度在平原区最大;建设用地的动态度最大位于丘陵;未利用地在小起伏山地地区最大。（3）土地覆被类型之间的主要转化在地貌上也存着差异。平原地区林地的增加主要来自草地转化。台地和丘陵地区3个主要转化类型相似,2000-2005年主要是林地向草地退化,2005-2010年主要是林地和草地的相互转化。在小起伏山地地区,主要是草地和林地之间的相互转化,但草地转化为林地的面积较林地向草地的转化多。中起伏和大起伏山地地区主要以草地和耕地向林地的转化为主,也有较高比例的建设用地转化为林地。封山育林和退耕还林主要是在起伏较大的山地地区,毁林主要发生在地形平缓地区。     

GIS技术城镇建设用地扩展范围确定方法——以重庆市南岸区为例

1区域概况南岸区面积261.08km2,居重庆市区长江以南。2004年全区总人口526787人,人口密度为2020人/km2,城镇人口占77.24%。该区地貌属川东平行岭谷的一部分,境内自西向东     

1961-2013年东北与华北气温变化速度空间差异

全球气候的不断变化使得生物生境受到极大影响。气温作为最基本的气候要素,其变化迁移会胁迫生物对此做出响应,造成生物群落的迁徙。气温变化速度将气温看作物质的运动,能够直观地表示气温时空变化特征,对研究生物分布地理界限变化具有重要的指导意义。本文利用1961-2013年的全国每月平均温度数据集,分析了过去50多年中国东北与华北地区之间气温变化速度的区域差异。结果表明：东北与华北两地区整体气温变化速度均值为5.60 km/year,速度范围主要集中于0~9 km/year之间,约占总数的90%。东北地区气温变化速度均值大于华北地区。其中,东北速度均值为5.85 km/year,华北为5.41 km/year。从区域内部来看,东北地区气温变化速度整体较高,三省中黑龙江与吉林速度较高,辽宁省速度变化相对较小。华北气温变化速度高值区域主要分布在内蒙古高原与河北、天津的小部分地区,其他地区的气温变化速度则相对较小。     

基于GlobeLand30的中国耕地占补平衡评价方法研究

为加强耕地保护,我国提出耕地占补平衡政策。本文基于占补耕地统计分布直方图,研究一套多指标耕地占补平衡评估方法,采用GlobeLand 30的最新两期数据,在空间格局、自然条件、区位条件3方面建立评价体系,在省级尺度评价我国近10年耕地数量和质量的占补平衡关系。结果表明:在数量上,我国基本实现了耕地占补平衡,耕地面积总体呈现东南减小、西北增加的空间格局;在质量上,我国较好实现了耕地占补平衡,25个省的耕地质量提升,但存在耕地坡度增大、面积破碎化等问题。     

山东半岛降雪时空分布特征

以2000-2018年MODIS MOD10A1日产品数据为数据源,结合数字高程模型（DEM）及降水量、风向等气象数据,构建了积雪空间分布模型,能够有效地提取强降雪区域。以此为基础,利用相关分析、缓冲区分析等方法,探究山东半岛降雪时空分布特征,结果表明：① 将NDSI累积量与DEM数据相结合,能够有效构建山东半岛积雪空间分布模型,实现了对山东半岛强、弱降雪区域提取,NDSI累积量≥150的区域中,在强降雪区的面积占降雪范围的79.78%;② 降雪区域存在空间差异,呈现北多南少,东多西少的分布格局,以黄、渤海与山东半岛海陆分界线为基准,离岸距离39.1 km范围内降雪多,离岸距离39.1 km以外降雪少;山脉150 m高程线北侧迎风坡降雪多,南侧背风坡降雪少;③ 山东半岛强降雪年以3-5年为周期存在年际变化。探究山东半岛降雪长时间序列时空分布特征,在收集淡水资源,缓解用水紧张和灾害预防方面具有一定意义。     

Accuracy comparison of gridded historical cultivated land data in Jiangsu and Anhui provinces

The spatial resolution of source data, the impact factor selection on the grid model and the size of the grid might be the main limitations of global land datasets applied on a regional scale. Quantitative studies of the impacts of rasterization on data accuracy can help improve data resolution and regional data accuracy. Through a case study of cropland data for Jiangsu and Anhui provinces in China, this research compared data accuracy with different data sources, rasterization methods, and grid sizes. First, we investigated the influence of different data sources on gridded data accuracy. The temporal trends of the History Database of the Global Environment(HYDE), Chinese Historical Cropland Data(CHCD), and Suwan Cropland Data(SWCD) datasets were more similar. However, different spatial resolutions of cropland source data in the CHCD and SWCD datasets revealed an average difference of 16.61% when provincial and county data were downscaled to a 10 × 10 km~2 grid for comparison. Second, the influence of selection of the potential arable land reclamation rate and temperature factors, as well as the different processing methods for water factors, on accuracy of gridded datasets was investigated. Applying the reclamation rate of potential cropland to grid-processing increased the diversity of spatial distribution but resulted in only a slightly greater standard deviation, which increased by 4.05. Temperature factors only produced relative disparities within 10% and absolute disparities within 2 km~2 over more than 90% of grid cells. For the different processing methods for water factors, the HYDE dataset distributed 70% more cropland in grid cells along riverbanks, at the abandoned Yellow River Estuary(located in Binhai County, Yancheng City, Jiangsu Province), and around Hongze Lake, than did the SWCD dataset. Finally, we explored the influence of different grid sizes. Absolute accuracy disparities by unit area for the year 2000 were within 0.1 km~2 at a 1 km~2 grid size, a 25% improvement over the 10 km~2 grid size. Compared to the outcomes of other similar studies, this demonstrates that some model hypotheses and grid-processing methods in international land datasets are truly incongruent with actual land reclamation processes, at least in China. Combining the model-based methods with historical empirical data may be a better way to improve the accuracy of regional scale datasets. Exploring methods for the above aspects improved the accuracy of historical cropland gridded datasets for finer regional scales.     

全球土地覆被数据集中哈萨克斯坦草地分布的异同及其成因

受社会制度变迁和气候变化的影响,哈萨克斯坦是中亚地区生态退化和草畜矛盾问题最为突出的国家。近百年来,放牧方式的改变、农业开垦的占用、加之暖干化的气候变化影响,使得哈萨克斯坦各类草地生态系统变化的时空格局具有鲜明的特点。因此,研究哈萨克斯坦草地退化的过程与机制对认识中亚地区草地生态系统对气候变化和人类活动的响应尤为重要,也是对绿色丝路建设过程中区域生态可持续发展的科学支撑。土地覆被数据是生态变化研究的基础数据,但目前广泛使用的各套全球数据集间往往存在很大的差异,这会导致对生态变化成因的认知以及对未来变化的模型模拟产生更大的不确定性。本研究从对草地类型识别的定义、空间分布的一致性和空间分布差异的原因3方面对比5类全球土地覆被数据（UMD 1992-1993、MCD12Q1 2001、GLC 2000、CCI-LC 2000、Glob Cover 2005）中哈萨克斯坦草地分布的异同,以期为哈萨克斯坦的相关研究中土地覆被数据集的选择提供依据。研究结果表明：① 分类系统中对草地类型的界定、遥感数据源、辅助分类数据、分类方法、验证数据和方法的不同是5套数据草地资源分布差异的主要原因,其中MCD12Q1数据与其他4套数据的草地分布面积相差最大;② 5套数据中草地分布都重叠（完全一致）或四套数据重叠（高度一致）的区域仅占39.66%,主要位于哈萨克斯坦典型草原带和部分半荒漠草原带;围绕典型草地分布区,空间一致性由内向外逐渐降低。5套数据完全不一致区域占26.78%,主要位于荒漠草原带;③ CCI-LC2000数据与其他几类数据的重叠区域最高,有76%的草地与5套数据的完全一致以及高度一致区重叠;在分布不一致区域中,极易造成混淆的土地覆被类型主要为旱作耕地、灌溉耕地、耕地与自然植被镶嵌体、裸地以及灌丛。     

Effect of cropland occupation and supplement on light-temperature potential productivity in China from 2000 to 2008

There are more people but less land in China,so food safety has always been a most important issue government concerned.With continuous population increase,economic development and environment protection,cropland occupation and supplement are unavoidable.It not only leads to the variation of cropland area,but also makes the light-temperature potential productivity per unit area different due to regional climate differentiation,therefore impacts the total potential productivity and food output eventually.So,it is necessary to analyze the climate differentiation between occupation and supplement cropland areas and to study its impact on total potential productivity,which is significant to reasonably develop natural resources and instruct agricultural arrangement.This study firstly discussed the variation and distribution of occupation and supplement croplands in China from 2000 to 2008,then analyzed the climate differentiation between occupation and supplement cropland areas and its effect on light-temperature potential productivity.The results demonstrate:1) From 2000 to 2008,the cropland variation presented occupation in the south and supplement in the north,but overall decreased.Supplement cropland was mainly from ecological reclamation(77.78%) and was mainly distributed in Northeast China and Northwest China with poor climatic and natural conditions.Occupation cropland was mainly used for construction(52.88%) and ecological restoration(44.78%) purposes,and was mainly distributed in the Huang-Huai-Hai Plain,and the middle and lower reaches of the Changjiang(Yangtze) River with better climatic and natural conditions.2) The climate conditions were quite different in supplement and occupation cropland areas.The annual precipitation,annual accumulated temperature and average annual temperature were lower in the supplement cropland area,and its average po-tential productivity per unit was only 62% of occupation cropland area,which was the main reason for the decrease of total potential productivity.3) Cropland occupation and supplement led to the variation of total potential productivity and its spatial distribution.The productivity decreased in the south and increased in the north,but had a net loss of 4.38315×107 t in the whole country.The increase of cropland area was at the cost of reclaiming natural forest and grassland resources,and destroying natural ecological environment,while the decrease of cropland area was mainly due to a lot of cropland occupied by urban-rural construction,which threatened the sustainable use of cropland resources.     

Comparative Study on Changes of Croplands Between North Korea and South Korea During 1990–2015

Studies on long-term change of cropland is of great significance to the utilization of land resources and the implementation of scientific agricultural policies. The Korean Peninsula, adjacent to China, plays an important role in the international environment of Northeast Asia. The Korean Peninsula includes South Korea and North Korea—two countries that have a great difference in their institutions and economic developments. Therefore, we aim to quantify the spatiotemporal changes of croplands in these two countries using Landsat Thematic Imager(TM) and Operational Land Imager(OLI) imagery, and to compare the differences of cropland changes between the two countries. This paper take full advantage of ODM approach(object-oriented segmentation and decision-tree classification based on multi-season imageries) to obtain the distribution of croplands in 1990 and 2015. Results showed that the overall classification accuracy of cropland data is 91.10% in 1990 and 92.52% in 2015. The croplands were mainly distributed in areas with slopes that were less than 8° and with elevations that were less than 300 m in the Korean Peninsula. However, in other region(slope 8° or elevation 300 m), the area and proportion of North Korea's croplands were significantly higher than that of South Korea. Croplands significantly increased by 15.02% in North Korea from 1990 to 2015. In contrast, croplands in South Korea slightly decreased by 1.32%. During the 25 years, policy shift, economic development, population growth, and urban sprawl played primary roles for cropland changes. Additionally, the regional differences of cropland changes were mainly due to different agriculture policies implemented by different countries. The achievements of this study can provide scientific guidance for the protection and sustainability of land resources.     

Construction of lake bathymetry from MODIS satellite data and GIS from 2003 to 2011

In recent years, sedimentation conditions in Dongting Lake have varied greatly because of significant changes in runoff and sediment load in the Changjiang （Yangtze） River following the construction of Three Gorges Dam. The topography of the lake bottom has changed rapidly because of the intense exchange of water and sediment between the lake and the Changjiang River. However, time series information on lake-bottom topographic change is lacking. In this study, we introduced a method that combines remote sensing data and in situ water level data to extract a record of Dongting Lake bottom topography from 2003 to 2011. Multi-temporal lake land/water boundaries were extracted from MODIS images using the linear spectral mixture model method. The elevation of water/land boundary points were calculated using water level data and spatial interpolation techniques. Digital elevation models of Dongting Lake bottom topography in different periods were then constructed with the multiple heighted waterlines. The mean root-mean-square error of the linear spectral mixture model was 0.036, and the mean predicted error for elevation interpolation was -0.19 m. Compared with field measurement data and sediment load data, the method has proven to be most applicable. The results show that the topography of the bottom of Dongting Lake has exhibited uneven erosion and deposition in terms of time and space over the last nine years. Moreover, lake-bottom topography has undergone a slight erosion trend within this period, with 58.2% and 41.8% of the lake-bottom area being eroded and deposited, respectively.     

洞庭湖区主要堤垸土地利用现状调查

为了掌握洞庭湖区重点垸、蓄洪垸的土地利用现状,基于2015年最新遥感影像,参考土地年度变更调查成果,采用人机交互式解译方法,通过遥感调查修编手段开展洞庭湖区11个重点垸和24个蓄洪垸土地利用调查,揭示出主要土地利用类型为耕地,重点垸耕地主要集中在"四水"、远离洞庭湖湖泊的平原、丘陵及低山地区,蓄洪垸耕地主要集中在洞庭湖区平原及岗地地区。将研究结果与湖南省水利部门调查数据进行了对比分析,对比表明,本研究获取的堤垸总面积结果与水利部门的数据之间存在一定误差,其中耕地面积相差最大,主要是由二者所采用的堤垸边界不一致导致。     

越南下龙市不同时期土地利用变化特征

在RS与GIS技术支持下,采用人机交互影像解译方法获取了1973、1988、2003和2014年4期土地利用数据,对越南建国到革新开放、革新开放至施行社会主义市场经济以及社会主义市场经济体制改革至今3个不同发展时期下龙市土地利用方式进行了定量研究,并从土地利用变化速度、程度及转移方向3个方面分析了过去40年该区域土地利用格局及时空变化特征。结果表明：① 建国至今下龙市林地占比缩减了26.3 %,城镇用地与工矿仓储二者占比扩大了4.3倍,耕地和红树林仅占下龙市总面积的3.6%和1.3%,同时养殖用地占比为5.5%。② 建国初期至革新开放时期,下龙市土地利用变化主要是城镇用地和工矿仓储的增建,二者均上升4%左右,空间变化集中于鸿基区,林地减少8.1%,耕地减少3.2%,土地利用总格局未产生明显变化。③ 革新开放至施行社会主义市场经济时期,城镇用地和工矿仓储扩建程度分别为过去15年的3倍和2倍,鸿基和拜寨的城区建设逐渐趋于平衡,林地占比减至52.2%,新地类养殖用地出现,红树林锐减。土地利用空间格局呈现破碎化。④ 施行社会主义市场经济体制到至今,林地锐减至40.0%,土地利用格局由林地占主导地位变为人工地类占主导,耕地和养殖用地分布边缘化。     

环长株潭城市群湿地生态安全研究

本文选取环长株潭城市群为研究区域,以Landsat TM影像解译后的土地利用数据、MODIS影像计算的植被指数,以及人口、经济和气候数据等为数据源,基于“压力-状态-响应”框架模型构建湿地生态安全评价指标体系对该区域2000-2010年湿地生态安全进行综合评价。结果表明：（1）环长株潭城市群2000、2005、2010年湿地生态安全指数均值分别为0.7268、0.7151和0.7196,湿地生态安全状态“良好”,生态安全等级程度为“较安全”。（2）环长株潭城市群区域差异性明显,一级湿地生态安全区主要分布在洞庭湖周边,二级湿地生态安全区沿主要河流分布,三级湿地生态安全区主要分布在2个或3个城市之间的交界区域。（3)研究期间环长株潭城市群湿地面积变化明显,该区域湿地总面积逐年减少;森林沼泽、草本沼泽、湖泊、河流、水田的斑块分维数均呈增加趋势;水库/坑塘、河流破碎度指数明显高于其他景观类型,湿地生态系统服务价值总体减少。在此基础上,从土地利用变化与转型、湿地景观结构与功能、自然因素等方面对影响该区域湿地生态安全的主要驱动因子进行了分析。结果表明,人类社会经济活动直接作用于湿地生态环境,通过改变区域景观和土地利用结构使湿地面积发生变化,直接影响湿地生态安全。气温、降水等气候因素通过改变水热状况和植被覆盖,间接影响湿地生态安全。针对该区域湿地生态安全存在的问题,建议在发展过程中正确处理好经济与生态环境之间的关系,尽可能减少人类活动对湿地生态环境的干扰。     

南京市九乡河流域土地利用程度空间异质性分析

定量分析九乡河流域土地利用程度及其空间异质性,对确定该流域土地资源利用和保护方向、实现土地资源可持续利用具有重要意义.以2003和2009年2期遥感影像为基本信息,利用空间自相关以及半变异函数分析方法,探讨了2003- 2009年九乡河流域土地利用程度的空间异质性特征,结果表明:流域土地利用程度的空间自相关表现出较强的...     

2001-2013年洞庭湖流域植被覆盖度时空变化特征

本文基于2001-2013年MODIS NDVI多时序数据,采用像元二分模型估算了洞庭湖流域植被覆盖度,分析了区域近13年来植被覆盖度的变化特征及趋势,并结合同期气象数据,阐明了植被覆盖度变化对气候因素的响应。结果表明：（1）近13年洞庭湖流域植被覆盖度的整体变化较为稳定,呈微弱减少趋势,速率为-0.3%/10a。（2）洞庭湖流域绝大部分区域植被覆盖状况良好,植被覆盖度呈自西向东递减趋势,高植被覆盖度及中高植被覆盖度占整个流域面积的88.63%,水体或低植被覆盖度及中低植被覆盖度仅占2.57%。（3）洞庭湖流域植被覆盖度变化趋势为北部强于南部、东部强于西部。流域内植被覆盖度极显著与显著减少的面积比例为5.30%、增加面积的比例为4.29%,植被覆盖度变化不显著占90.40%。该区域植被覆盖度变化受人为因素影响更大。