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1.
From 1992 to 2015, ecological environment has been threatened by the changes of cropland around the world. In order to evaluate the impact of cropland changes on ecosystem, we calculated the response of terrestrial ecosystem service values (TESVs) variation to cropland conversion based on land-use data from European Space Agency (ESA). The results showed that cropland changes were responsible for an absolute loss of $166.82 billion, equivalent to 1.17% of global TESVs in 1992. Among the different regions, the impact of cropland changes on TESVs was significant in South America and Africa but not obvious in Oceania, Asia and Europe. Cropland expansion from tropical forest was the main reason for decreases in TESVs globally, especially in South America, Africa and Asia. The effect of wetland converted to cropland was notable in North America and Europe while grassland converted to cropland played an important role in Oceania, Africa and Asia. In Europe, the force of urban expansion cannot be ignored as well. The conversion of cropland to tropical or temperate forest partly compensated for the loss of TESVs globally, especially in Asia. 相似文献
2.
近10年来中国耕地资源的时空变化分析 总被引：105，自引：5，他引：100
根据中国资源环境数据库中的耕地数据以及20世纪80年代末期、1995年和2000年3期覆盖全国时间跨度约为10年的遥感数据,对中国耕地时空变化进行分析。总趋势表明,近10年来我国耕地资源总量有所增加;东部及沿海地区优质耕地迅速减少;东北地区和内蒙古自治区耕地大量开垦;水田旱地转换明显。利用GIS方法将耕地变化数据与中国生态环境质量数据进行叠加,表明近10年来耕地的生态环境质量下降了。近10年耕地动态变化的空间分布表现出13种动态格局。对80年代末至1995年 (前5年) 和1995年至2000年 (后5年) 这2个时间段内的耕地变化进行对比分析,表明了前5年与后5年耕地变化的动态格局有空间上的相似性,但前后变化幅度相差较明显。近10年来气温的升高与中国水田北移有较好的一致性,而降水的减少对西北地区耕地的撂荒和开垦有明显作用。中国经济的发展所导致的城市化过程使得大量耕地被占用。近10年来相关的耕地政策对控制耕地面积的减少有作用,但耕地的总体质量却下降了,这直接影响了粮食产量。 相似文献
3.
Reconstructing provincial cropland area in eastern China during the early Yuan Dynasty (AD1271-1294)
Reconstructing historical land use and land cover change (LUCC) at the regional scale is an important component of global environmental change studies and of improving global historical land use datasets. By analyzing data in historical documents, including military-oriented cropland (hereafter M-cropland) area, the number of households engaged in M-cropland (hereafter M-household) reclamation, cropland area, and the number of households, we propose a conversion relationship between M-cropland area and cropland area reclaimed by each household. A provincial cropland area estimation method for the Yuan Dynasty is described and used to reconstruct the provincial cropland area for AD1290. Major findings are as follows. (1) Both the M-cropland and cropland areas of each household were high in the north and low in the south during the Yuan Dynasty, which resulted from different natural conditions and planting practices. Based on this observation, the government-allocated M-cropland reclamation area to each household was based on the cropland area reclaimed by each household. (2) The conversion relationship between M-cropland and cropland areas per household showed conversion coefficients of 1.23 and 0.65 for the south and north, respectively. (3) The cropland area in the entire study area in AD1290 was 535.4×106 mu (Chinese area unit, 1 mu=666.7 m2), 57.8% in the north and 42.2% in the south. The fractional cropland areas for the entire study area, north, and south were 6.8%, 6.6%, and 7.1%, respectively and the per capita cropland areas for the whole study area, north, and south were 6.7, 15.6, and 4.1 mu, respectively. (4) Cropland was mainly distributed in the middle and lower reaches of the Yellow River (including the Fuli area), Huaihe River Basin (including Henan Province), and middle and lower reaches of the Yangtze River (including Jiangzhe, Jiangxi, and Huguang provinces). 相似文献
4.
The acceleration of urbanization has led to the occupation of more cropland, especially higher quality cropland, which could pose a huge threat to food security and have other implications for the inadequate cropland resource supply in China. Though the spatial status of Chinese cropland quality has been assessed, its temporal changes since 2000 to 2015 are still not clear. An accumulated probability distribution method was used to determine the criteria of cropland quality using the net primary production data product (MOD17) from Moderate Resolution Imaging Spectroradiometer (MODIS). Then the cropland quality of higher, median and lower production was spatially mapped and its changes due to occupation by urbanization were analyzed through the land use changes (LUCC) data primarily from Landsat TM images in the three periods of 2000-2005, 2005-2010, and 2010-2015. The results showed that of the total cropland reduction area the proportion taken by urbanization increased from 47.29% in the early stage to 77.46% in the recent period. The quality of Chinese cropland was dominated by low- and medium-yield fields, accounting for 40.81% and 48.74%, respectively, with high-yield fields accounting for only 10.44% of the total cropland in the country in 2000. The high-yield areas have been seriously threatened by the expansion of construction land fields, with the ratio of high-yield area to total area occupied by urbanization increasing from 9.71% in 2000-2005 to 15.63% in 2010-2015. Spatially, this phenomenon has been moving from eastern and southern China to central and western China, especially in Northwest China where the ratio has arrived at the highest proportion, with 52.97% of high-yield cropland in the total land taken by the expansion by 2015. This study not only provides a method to assess cropland quality but also reveals the threatening trend from the expansion of urbanization on high-quality cropland. More attention should be paid to the latter in land use planning and policies made to prevent threats to food security from declines in both cropland quantity and quality. 相似文献
5.
20世纪中国耕地格网化数据分区重建 总被引：6，自引：1，他引：5
针对中国国家尺度层面耕地历史数据集的缺乏,提出了分区建模的方案.首先,将中国定性划分为四大区域,即传统农区、东北地区、西北地区、青藏地区;在此基础上,分别量化地形、人口要素与耕地分布之间的关系,构建空间格网化模型.利用该方案,重建了中国1913、1933、1950、1970、1990 和2000 年6 个时间断面空间分辨率为10 km的格网化耕地数据.对比1990 年的重建结果与遥感解译结果,发现无论是县域尺度,还是栅格尺度,数据集的准确性都较高.对重建的耕地数据集进行分析发现,近百年来中国的耕地面积出现先增后减的趋势,拐点大体在20 世纪后期,不仅是耕地总量的先增后减,而且垦殖强度也是先增后减,但区域之间并不一致,其中变化较大的是东北和西北地区. 相似文献
6.
As one of the most critical impact factors of global change, historical land-use change is an indispensable input in climate and environment simulations. To better understand the cropland change in the Guanzhong area, gazetteers, statistics, and survey data were collected as data sources. Methods of registered tax-paying cropland data collection, selection of time points, and data interpolation and calibration were used to reconstruct changes in the cropland area. The cropland area data at the county level were allocated to 1 km×1 km grid cells. The total cropland area in the Guanzhong area was influenced by changes in population, wars, natural disasters, and land-use types, and it fluctuated from 1650 to 2016. From 1780 to 1830, the cropland expanded in the northern and western parts of Guanzhong area, and the cropland in the north of Qinling Mountains increased slightly. The spatial pattern of cropland reached its maximum range in 1980, and the cropland area declined in the whole study area, especially in the cities of Xi'an and Xianyang in 2016. The comparison between HYDE 3.2 and the data obtained in this study showed that the grid cells of HYDE 3.2 exhibit lower values of cropland area fractions in the Guanzhong Basin and higher values in high-altitude areas around the Guanzhong Basin as compared to those in this study. 相似文献
7.
JOHN FRASER HART 《Geographical review》2001,91(3):525-543
ABSTRACT. The census concept of total cropland is a better measure of effective agricultural land than is total farmland, which includes extensive areas of woodland owned by farmers. The cropland area of the United States dropped from 478 million acres in 1949 to 431 million acres in 1997, for a net loss of less than 1 million acres, or roughly one‐fifth of 1 percent, per year. In the midwestern agricultural heartland most counties changed less than 5 percent in the half‐century, and more counties gained than lost. The West was a crazy quilt of change, and in the East most counties lost more than 10 percent. Major metropolitan counties lost a few percentage points more than did adjacent areas, but at a lower rate per capita than the nation as a whole. Most of the loss of cropland was in marginal agricultural counties with soils of low inherent fertility and topography unsuited to modern farm machinery. The loss of cropland to suburban encroachment may be cause for intense local concern, but attempts to thwart development cannot be justified on grounds of a net national loss of good cropland. 相似文献
8.
基于明代册载田亩、屯田和人口数据,以及相关赋役制度和土地制度等史料,考察了明代册载田亩和屯田数据的合理性,辨识了导致明代册载数据失实的主要因素,重建了明代典型时点省域耕地面积。结果表明：① 册籍讹误、官民田和卫所屯田的分类统计及山、塘、湖、荡等非耕地的登册起科,是导致洪武和万历年间册载数据失实的主要原因。② 洪武年间河南和湖广册载田亩数据人均耕地面积畸高,其原因为“册籍讹误”,订正后的数值分别为41万今亩和18万今亩;该时期研究区阙载的屯田总额约为5620万今亩。③ 非耕地的登册起科主要出现在南方地区,且洪武和万历年间浙江、南直隶、江西、湖广等省的册载田土数据中非耕地占比分别为24.7%、23.3%、4.4%、3.7%和28.9%、16.2%、19.2%、11.6%。④ 洪武二十六年（1393年）至万历十一年（1583年）,研究区耕地总量由49 550万今亩增至75 430万今亩;省域土地垦殖变化呈现明显的区域差异,河南和山东两省垦殖率增量超过15个百分点,湖广和四川超过3个百分点,而其余各省增量低于1个百分点。区域历史时期土地利用/覆被变化数据重建,不仅是区域生态环境效应模拟的客观需求,也可为充实和完善全球数据集提供参考。 相似文献
9.
通过梳理和集成近年研究成果,综述了过去2000年中国主要农耕区拓展的阶段性及其间全国耕地面积和其中近千年垦殖率变化的主要特征。主要结论有：① 中国主要农耕区第一次大规模拓展出现在西汉,从黄河中下游拓至整个长江以北地区;第二次在唐宋时期,主要是长江以南农耕区域从平原低地拓垦至丘陵山地;第三次在清中叶以后,主要是对东北、西北和西南等边疆地区的拓垦和山地的深度开发。② 过去2000年中国耕地面积呈波动增加趋势,公元初突破5亿亩（1亩≈ 667 m2）,8世纪前期突破6亿亩,11世纪后半叶达近8亿亩,16世纪后期突破10亿亩,19世纪前期突破12亿亩,1953年逾16亿亩,1980年逾20亿亩。③ 中国耕地空间分布的主体格局至11世纪前后就已基本奠定。1080年前后,黄淮海、关中平原等的垦殖率达30%以上,长江三角洲、鄱阳湖平原、两湖平原和四川盆地等达30%左右。1850年前后,华北平原、汾渭盆地和陇东地区、四川盆地、两湖平原、鄱阳湖平原及长三角地区等的垦殖率均超过30%。2000年前后,东北平原、黄淮海地区、汾渭盆地和陇东地区、四川盆地、长江中下游平原等农业区中有2/3以上垦殖率超过50%,辽西丘陵、坝上高原、黄土高原及南方各省的丘陵山地也多达15%以上;西北绿洲农业带及青藏高原河谷农业带的局部地区也达50%以上。 相似文献
10.
1700—1978年云南山地掌鸠河流域耕地时空演变的网格化重建 总被引：2，自引：0，他引：2
基于多源数据资料重建小尺度区域历史时期土地利用/覆盖变化,对深入理解土地利用变化的驱动力机制及其环境和气候效应具有重要意义。本文利用从流域尺度聚落格局演变重建到聚落尺度耕地数量和空间分布重建,再到流域尺度耕地格局重建的思路,以云南山地典型的中小流域为研究区,以历史文献资料、田野考察资料、历史地理学研究成果、档案资料、现代统计资料、地理基础数据为支撑,综合考虑区域自然因素（坡度、海拔高度）、人文因素（人口、政策、农业技术、耕地与居民点距离）,设计了历史时期山地小尺度区域耕地网格化重建模型,重建了1700—1978年具有明确时间和空间属性的网格化耕地格局。结果表明：① 掌鸠河流域的耕地面积近300 a增长6.3倍,垦殖率从1700年的2.1%上升到1978年的15.6%。② 不同地形区的耕地面积差异较为显著,其中山区和半山区的耕地面积最大,且增长速度最快;平坝区和中下游河谷区的耕地面积增长相对平缓,是自然环境、人口、政策和农业技术等因素综合作用的结果。③ 通过总耕地面积和人均耕地面积等对结果进行验证,证明了重建结果的合理性。本文设计的网格化重建模型可以为模拟具有明确时间和空间属性的小尺度区域历史耕地网格化数据集提供参考。 相似文献
11.
The extensive alteration of the earth's land cover during the anthropocene had widespread, and in some cases unknown, effects on terrestrial and atmospheric conditions and processes. Predicting future changes to the earth system therefore mandate a future-predicting framework of land use dynamics. However while future-predicting earth surface and atmospheric models tend to explicitly incorporate projected climatic conditions they all but ignore or overly simplify land use dynamics. As most surface and atmosphere dynamics models use gridded input datasets, and land use is a highly spatially-dynamic phenomena, a need clearly arise for spatially explicit representation of future land use dynamics. While a number of such datasets exists at regional and country scales, no fully gridded future-predicting global land use model and database has been reported to date. Here we present the Global Land Use Dynamics Model (GLUDM), a gridded and temporally explicit agricultural land use predictor. GLUDM calculates the relative area of a land use category (e.g. cropland) in each grid-cell by generating unique regression coefficients in each grid-cell based on local historic trends and global population dynamics. Spatial expansions or abandonment of agricultural land is simulated by propagating excesses or deficiencies in agricultural areas between neighboring grid-cells. This spatial connectivity is restricted by topographic, latitudinal and urban characteristics. A validation analysis shows that GLUDM corresponds well to observed land use distribution. GLUDM-predicted global cropland area dynamics between 2005 and 2100 are described herein. Globally, 18% increase in cropland area is predicted between 2005 and 2050 which corresponds very well to previous estimations. Following 2050, a general decrease in cropland area is predicted. The results reveal new insights about global cropland dynamics, demonstrating, for example, that changes in its spatial distribution will be highly heterogeneous, at both micro and macro scales, in some locations worldwide. 相似文献
12.
Potential promoted productivity and spatial patterns of medium- and low-yield cropland land in China 总被引：2，自引：1，他引：1
With a continuously increasing population and better food consumption levels, improving the efficiency of arable land use and increasing its productivity have become fundamental strategies to meet the growing food security needs in China. A spatial distribution map of medium- and low-yield cropland is necessary to implement plans for cropland improvement. In this study, we developed a new method to identify high-, medium-, and low-yield cropland from Moderate Resolution Imaging Spectroradiometer (MODIS) data at a spatial resolution of 500 m. The method could be used to reflect the regional heterogeneity of cropland productivity because the classification standard was based on the regionalization of cropping systems in China. The results showed that the proportion of high-, medium-, and low-yield cropland in China was 21%, 39%, and 40%, respectively. About 75% of the low-yield cropland was located in hilly and mountainous areas, and about 53% of the high-yield cropland was located in plain areas. The five provinces with the largest area of high-yield cropland were all located in the Huang-Huai-Hai region, and the area amounted to 42% of the national high-yield cropland area. Meanwhile, the proportion of high-yield cropland was lower than 15% in Heilongjiang, Sichuan, and Inner Mongolia, which had the largest area allocated to cropland in China. If all the medium-yield cropland could be improved to the productive level of high-yield cropland and the low-yield cropland could be improved to the level of medium-yield cropland, the total productivity of the land would increase 19% and 24%, respectively. 相似文献
13.
清代耕地数据恢复重建方法与实证研究 总被引：2，自引：0，他引：2
本文尝试构建一套适用于清代耕地数据的修正校验体系,以清代官方册载田亩数据为基础,采用人口基数和垦殖趋势进行检验和订正,通过替换、引用、衔接对比等方法进行数据修正,重建清代耕地数据,以期为后续相关研究提供参考.在建立理论分析框架的基础上,本文以历史资料相对丰富的山东省为例,对清代山东省的耕地数据进行修正与校验,结果表明：① 清代山东省的册载田亩数据不实情况普遍,经要素法修正的数据虽然通过了人口检验,但未能通过垦殖趋势校验,有必要进行进一步的订正和校准;② 在修正和校验过程中应综合考虑不同省份间垦殖政策、种植制度、自然条件等的差异,从修正系数到校验重点进行因时因地调整;③ 清前期山东省耕地增长主要受限于劳动力供给,耕地面积接近于劳动力供给线,随着人口的增长,耕地面积逐渐趋向于温饱线.同治以后,耕地面积开始低于温饱线,需要依靠粮食输入才能满足人口需求,山东省由粮食输出省变为粮食输入省. 相似文献
14.
Iraq has experienced significant agricultural land use changes throughout its history, including recent changes initiated by the 2003 US-led military invasion, the end of United Nations' economic sanctions and the onset of overt domestic conflict. Conflict and sociopolitical forces are important drivers of land use/land cover change and often have disproportionate impacts on agricultural systems. However, there has been little research to investigate recent changes in agricultural land use/land cover in Iraq over the recent tumultuous period that has included war and the transition of its political system from a dictatorship to an emerging but beleaguered democracy. Our objectives were to (1) determine if cropland area in Iraq changed significantly between 2001 and 2012, (2) identify regional patterns of cropland area change, and (3) identify sociopolitical forces driving those changes. We used MODIS Land Cover Product yearly data to quantify the amount of land cover dedicated to croplands. We regressed cropland area (ha) on time (2001, 2002, 2003,…) and years with drought influence (yes, no). The results revealed significant changes in cropland area for Iraq as a whole, with cropland area decreasing over 30,000 ha per year. Regionally, there were significant decreases in the Kurdish Autonomous Region and central Iraq, and initial increases in the southern marshlands followed by decreases related to drought. 相似文献
15.
网格化历史耕地数据集能为历史时期耕地变化研究提供更精确的支持,并且为全球环境气候变化研究模型模拟提供驱动数据。本文综合考虑了中国历代土地利用开发的特点及自然人文因子对耕地的影响,设计了一套对中国耕地先分区再分层分配的网格化方法。基于国内3个主流区域耕地数据研究成果,采用上述方法建立了1820年（清仁宗嘉庆二十五年）和1936年（民国二十五年）中国10 km×10 km分辨率的耕地数据集,并绘制了分布图。本文还利用国内具有代表性的区域数据集对重建结果进行对比验证。结果表明,该方法可以保证耕地数量的权威性,并且建立具有区域性的高精度历史耕地数据集。 相似文献
16.
Cropland displacement, as an important characteristic of cropland change, places more emphasis on changes in spatial location than on quantity. The effects of cropland displacement on global and regional food production are of general concern in the context of urban expansion. Few studies have explored scale-effects, however, where cropland is displaced not only within, but also outside, the administrative boundary of a certain region. This study used a spatially explicit model (LANDSCAPE) to simulate the potential cropland displacement caused by urban land expansion from 2020 to 2040 at four scales of the Chinese administration system (national, provincial, municipal, and county levels). The corresponding changes in potential cereal production were then assessed by combining cereal productivity data. The results show that 4700 km2 of cropland will be occupied by urban expansion by 2040, and the same amount of cropland will be supplemented by forest, grassland, wetland, and unused land. The potential loss of cropland will result in the loss of 3.838×106 tons of cereal production, and the additional cropland will bring 3.546×106 tons, 3.831×106 tons, 3.836×106 tons, and 3.528×106 tons of potential cereal production in SN (national scale), SP (provincial scale), SM (municipal scale), and SC (county scale), respectively. Both SN and SC are observed to make a huge difference in cereal productivity between the lost and the supplemented cropland. We suggest that China should focus on the spatial allocation of cropland during large-scale displacement, especially at the national level. 相似文献
17.
近300年中国耕地数据集重建与耕地变化分析 总被引：8，自引：1，他引：7
针对中国历史时期不同政体耕地记录的特点,分别采用因素修正、引用替换、线性内插、衔接对比、人地关系检验、垦殖趋势检验、行政面积比例调整等方法对历史耕地数据进行修正,重建了基于现代省界的近300年中国分省耕地数据集,从数量角度对中国耕地总量和分省耕地变动特点进行分析,得到以下主要结论：① 在耕地总量上,SAGE和周荣的数据明显高估,本文结果与HYDE、CHCD和章有义数据的平均差异率在15%以下;但在省域尺度上,与SAGE、HYDE数据库存在明显差异,相对差异率>30%的省份比重分别为94%和61%,与CHCD数据较为接近,相对差异率>30%的省份比重为22%,但部分省份差异明显,仍需进一步分析研究;② 伴随清中期后的人口爆炸,近300年中国耕地增长近3.2倍,由清朝初年的42.4×106 hm2增加至1985年的136.9×106 hm2,根据增长速率变化可分为五个阶段,即清前中期快速增长阶段、清后期低速增长阶段、民国时期波动阶段、建国初期剧烈增长阶段和建国后耕地流失阶段,影响耕地变化主要是国家政策、战乱、经济发展等驱动因素。③ 从省域尺度看,近300年中国各区域耕地变化差异显著。清初,中国耕地主要集中于长江中下游平原、黄淮海平原、关中盆地及银川平原等地,此后,内地的垦殖活动不断增强,外围农区呈由南向北的趋势不断开荒。建国后,耕地开垦逐步向西北和东北方向发展。 相似文献
18.
The changing patterns of cropland conversion to built-up land in China from 1987 to 2010 总被引：2，自引：0，他引：2
Hongrun Ju Xiaoli Zhao Xiao Wang Wenbin Wu Ling Yi Qingke Wen Fang Liu Jinyong Xu Shunguang Hu Lijun Zuo 《地理学报(英文版)》2018,28(11):1595-1610
Over the past few decades, built-up land in China has increasingly expanded with rapid urbanization, industrialization and rural settlements construction. The expansions encroached upon a large amount of cropland, placing great challenges on national food security. Although the impacts of urban expansion on cropland have been intensively illustrated, few attentions have been paid to differentiating the effects of growing urban areas, rural settlements, and industrial/transportation land. To fill this gap and offer comprehensive implications on framing policies for cropland protection, this study investigates and compares the spatio- temporal patterns of cropland conversion to urban areas, rural settlements, and industrial/ transportation land from 1987 to 2010, based on land use maps interpreted from remote sensing imagery. Five indicators were developed to analyze the impacts of built-up land expansion on cropland in China. We find that 42,822 km2 of cropland were converted into built-up land in China, accounting for 43.8% of total cropland loss during 1987–2010. Urban growth showed a greater impact on cropland loss than the expansion of rural settlements and the expansion of industrial/transportation land after 2000. The contribution of rural settlement expansion decreased; however, rural settlement saw the highest percentage of traditional cropland loss which is generally in high quality. The contribution of industrial/transportation land expansion increased dramatically and was mainly distributed in major food production regions. These changes were closely related to the economic restructuring, urban-rural transformation and government policies in China. Future cropland conservation should focus on not only finding a reasonable urbanization mode, but also solving the “hollowing village” problem and balancing the industrial transformations. 相似文献
19.
揭示耕地与林地转换对地表温度的影响对于认识人类活动的气候与环境效应具有重要意义。基于卫星遥感数据的统计分析是揭示土地利用/覆盖变化对地表温度影响的重要手段。但是,在景观破碎度较高地区,混合像元问题成为使用这一技术手段的主要限制性因素,中国南方长江流域尤为典型。为突破这一限制,论文基于Google Earth高清影像,在1 km尺度上辨识了200对耕地与林地纯像元,进而利用MODIS陆地数据产品,对比分析了耕地与林地的地表温度(LST)、叶面积指数(LAI)、地表反照率(Albedo)之差。结果表明：耕地的LST高于林地,白天和夜间温度分别约偏高2.75 ℃和1.15 ℃,并且温差因季节而异,白昼温差呈双峰(分别是5月和10月,温差约3.18 ℃和3.33 ℃),夜间温差为单峰(7月,约2.46 ℃)。同时,温差因地而异,总体表现为西高东低,陕甘交界处的白昼温差最大,年平均约为3.83 ℃;安徽中南部温差最小,约为1.1 ℃。耕地与林地的LST之差主要由蒸散发的差异所致。林地的LAI较大,蒸散发较强,地表向大气的潜热通量较大,用于直接加热地表的感热相对偏少,因而LST相对偏低。上述结果表明近年来长江流域及毗邻地区的耕地转为林地通过增加蒸发产生了一定的致冷效应。 相似文献