Spatial patterns and driving forces of land use change in China during the early 21st century

Land use and land cover change as the core of coupled human-environment systems has become a potential field of land change science （LCS） in the study of global environmental change. Based on remotely sensed data of land use change with a spatial resolution of 1 km × 1 km on national scale among every 5 years, this paper designed a new dynamic regionalization according to the comprehensive characteristics of land use change including regional differentiation, physical, economic, and macro-policy factors as well. Spatial pattern of land use change and its driving forces were investigated in China in the early 21 st century. To sum up, land use change pattern of this period was characterized by rapid changes in the whole country. Over the agricultural zones, e.g., Huang-Huai-Hai Plain, the southeast coastal areas and Sichuan Basin, a great proportion of fine arable land were engrossed owing to considerable expansion of the built-up and residential areas, resulting in decrease of paddy land area in southern China. The development of oasis agriculture in Northwest China and the reclamation in Northeast China led to a slight increase in arable land area in northern China. Due to the ＂Grain for Green＂ policy, forest area was significantly increased in the middle and western developing regions, where the vegetation coverage was substantially enlarged, likewise. This paper argued the main driving forces as the implementation of the strategy on land use and regional development, such as policies of ＂Western Development＂, ＂Revitalization of Northeast＂, coupled with rapidly economic development during this period.

STUDY ON THE SPATIAL PATTERNS OF LAND-USE CHANGE AND ANALYSES OF DRIVING FORCES IN NORTHEASTERN CHINA DURING 1990-2000

Land-use change is an important aspect of global environment change.It i s,in a sense,the direct result of human activities influencing our physical environment.Supported by the dynamic serving system of nation al resources,including both the environment data base and GIS technology,this paper a nalyzed the land-use change in north eastern Chi-na in the past ten years(1990-2000).It divides northeastern China into five land-use zones based on the dynamic de-gree(DD)of land-use:woodland /grassland -a rable land conversion zone,dry land-paddy field conversion zone,ur-ban expansion zone,interlocked zon e of farming and pasturing,and recla mation and abandoned zone.In the past ten years,land-use change of northeastern China can be generalized as follo ws:increase of cropland area was obvious,pad-dy field and dry land increased by 74.9and 276.0thousand ha respectively;urban area expanded rapidly,area o f town and rural residence increased by 76.8thousand ha;area of forest and grassland decreased sharply with the amo unt of1399.0and 1521.3thousand ha respec tively;area of water body and unused land increased by 148.4and 513.9thou-sand ha respectively.Besides a comp rehensive analysis of the spatial patterns of land use,this paper also di scusses the driving forces in each land-use dynamic zones.The study shows that some k ey biophysical factors affect consp icuously the conversion of different land-use ty pes.In this paper,the relationship s between land-use conversion and DEM,accumulat-ed temperature(≥10℃)and precipitation were analysed and represented.We conclude that the la nd-use changes in north-east China resulted from the change o f macro social and economic factors a nd local physical elements.Rapid population growth and management changes,in so me sense,can explain the shaping of woodland /grassland -cropland conve rsion zone.The conversion from dry land to paddy field in the dry land -paddy fie ld conversion zone,apart from the ph ysical elements change promoting the expan sion of paddy field,results from two reasons:one is that the implementation of mar-ket-economy in China has given farme rs the right to decide what they plant and how they plant their crops,the other fac-tor is originated partially from the change of dietary habit with the social and economic development.The con version from paddy field to dry land is caused prim arily by the shortfall of irrigation water,which in turn is caused by poor water alloca-tion managed by local governments.T he shaping of the reclamation and abandoned zone is partially due to the la ck of environ-ment protection consciousness amon g pioneer settlers.The reason for th e conversion fromgrassland to cropl and is the relative-ly higher profits of farming than that of pasturing in the interlocked zon e of farming and pasturing.In northeastern China,the rapid expansion of built-up areas results from two factors:the first is its small number of towns;the second comes from the huge potential for expansio n of existing towns and cities.It is n oticeable that urban expansion in th e northeastern China is characterized by gentle top ographic relief and low population d ensity.Physiognomy,transportati on and economy exert great influences on the urban e xpansion.

Spatial patterns of urban land use growth in Beijing

By using digitized land use maps of Beijing in 1982, 1992 and 1997 and employing GIS spatial analysis techniques, this paper conducts an empirical study on the spatial differentiation and spatial patterns of urban land use growth in Beijing in the period of 1982–1997. It is observed that urban land use growth in Beijing went beyond the control of urban planning, in terms of the extraordinary high growth rate and undesired spatial pattern. The rate of urban expansion after 1982, which was predominated by growth of industrial land, was extraordinary high compared to its historical period. While its growth centers have been actively shifting toward the northern part, rather than toward the southern and eastern parts as designated by the latest General Plan (1991–2010) of Beijing, its spatial pattern of urban land use growth in general was in distinct concentric sprawl, which seriously violated the General Plan of Beijing.

Using autologistic spatial models to simulate the distribution of land-use patterns in Zhangjiajie, Hunan Province

Nowadays, spatial simulation on land use patterns is one of the key contents of LUCC. Modeling is an important tool for simulating land use patterns due to its ability to integrate measurements of changes in land cover and the associated drivers. The conventional regression model can only analyze the correlation between land use types and driving factors but cannot depict the spatial autocorrelation characteristics. Land uses in Yongding County, which is located in the typical karst mountain areas in northwestern Hunan province, were investigated by means of modeling the spatial autocorrelation of land use types with the purpose of deriving better spatial land use patterns on the basis of terrain characteristics and infrastructural conditions. Through incorporating components describing the spatial autocorrelation into a conventional logistic model, we constructed a regression model （Autologistic model）, and used this model to simulate and analyze the spatial land use patterns in Yongding County. According to the comparison with the conventional logistic model without considering the spatial autocorrelation, this model showed better goodness and higher accuracy of fitting. The distribution of arable land, wood land, built-up land and unused land yielded areas under the ROC curves （AUC） was improved to 0.893, 0.940, 0.907 and 0.863 respectively with the autologistic model. It is argued that the improved model based on autologistic method was reasonable to a certain extent. Meanwhile, these analysis results could provide valuable information for modeling future land use change scenarios with actual conditions of local and regional land use, and the probability maps of land use types obtained from this study could also support government decision-making on land use management for Yongding County and other similar areas.

Spatio-temporal Pattern and Spatial Heterogeneity of Ecotones Based oh Land Use Types of Southeastern Da Hinggan Mountains in China

Ecotones have received great attention due to its critical function in energy flux, species harbor, global carbon sequestration, and land-atmosphere interaction. This study investigated land use pattern and spatial heterogeneity of the ecotones among agricultural land, forest land, and grassland of the southeastern Da Hinggan Mountains in the northeastern China. The change of these delineated ecotones under different slopes and aridity conditions was analyzed by two landscape indices, edge density(ED) and core area percentage of landscape(CPL), to explore the inter-linkage between spatial structure of ecotones and socioeconomic development and land management. Specifically, the ecotones such as agriculture-forest(AF) ecotone, forest-grassland(FG) ecotone, and agriculture-forestgrassland(AFG) ecotone moved from the arid southeast to the humid northwest. The flat area with small slope is more edge-fragmented than the steep area since the ED decreases as the slope increases. The AF ecotone mostly found in the humid region is moving to more humid areas while the agriculture-grassland(AG) ecotone mostly found in the dry region is moving towards the drier region.

Spatial pattern of land cover change in China's semiarid environment

This study seeks a routine to quantify spatial pattern of land cover changes in semiarid environment of China based on post-classification comparison method. The method consists of three major steps: (1) the image classification and unification of classified results based on two-level land cover classification themes, (2) the establishment of land cover change classes based on an unification land cover classification theme, (3) the reclassification and mapping of land cover change classes with three overall classes including no-change, gain and loss based on the unification land cover class. This method was applied to detect the spatial pattern of land cover changes in Yinchuan Plain, one of famous irrigation agricultural zones of the Yellow River, China. The results showed the land cover had undergone a remarkable change from 1991 to 2002 in the study area (the changed area was over 30%). Rapid increase of cropland (12.5%), built-up area (131.4%) and rapid decrease of bare ground (51.7%) were alarming. The spatial pattern of land cover changes showed clear regional difference in the study area and was clearly related to human activities or natural factors. Thus, it obtained a better understanding of the human impact on the fragile ecosystem of China’s semiarid environment.

Spatial Pattern Change Simulation of Land Use in Yongchuan District of Chongqing City

In order to study the county scale land use structure during the rapid urbanization and more accurately grasp the dynamic process of land use and cover change,we combine GIS technology with CLUE-S model to research the spatial pattern change of land use in Yongchuan District of Chongqing City. The results show that the forest and farmland were main land use types going through changes in Yongchuan District during 2000-2010,accounting for more than 90% of the total area in each year; during 2000- 2010,the urban area was significantly increased,an increase of 16. 11%,and the urban area during 2005- 2010 was changed more dramatically than during 2000- 2005; forest area was slightly increased and farmland area was reduced by 1660 ha in 10 years. We set three scenarios on land use change in Yongchuan District for simulation and compare the predicted results. It can be concluded that driven by rapid urbanization,the change in land use landscape pattern in Yongchuan District is mainly focused on forest and farmland,the urban area is substantially increased,and the forest area also shows an increasing trend while the farmland area is reduced accordingly. Under ecological protection scenarios,the land use type having a protective effect on the ecological environment achieves better control effect.

Spatial and Quantitative Comparison of Satellite-Derived Land Cover Products over China

Because land cover plays an important role in global climate change studies, assessing the agreemen among different land cover products is critical. Significan discrepancies have been reported among satellite-derived land cover products, especially at the regional scale. Different classification schemes are a key obstacle to the comparison of products and are considered the main factor behind the disagreement among the different products Using a feature-based overlap metric, we investigated the degree of spatial agreement and quantified the overall and class-specific agreement among the Moderate Resolution Imaging Spectoradiometer (MODIS), Global Land Cover 2000 (GLC2000), and the National Land Cover/Use Data-sets (NLCD) products, and the author assessed the products by ground reference data at the regional scale over China. The areas with a low degree of agreement mostly occurred in heterogeneous terrain and transition zones while the areas with a high degree of agreement occurred in major plains and areas with homogeneous vegetation The overall agreement of the MODIS and GLC2000 products was 50.8% and 52.9%, and the overall accuracy was 50.3% and 41.9%, respectively. Class-specific agreement or accuracy varied significantly. The high-agreemen classes are water, grassland, cropland, snow and ice, and bare areas, whereas classes with low agreement are shru-bland and wetland in both MODIS and GLC2000. These characteristics of spatial patterns and quantitative agreement could be partly explained by the complex landscapes mixed vegetation, low separability of spectro-temporal-texture signals, and coarse pixels. The differences of class definition among different the classification schemes also affects the agreement. Each product had its advantages and limitations, but neither the overall accuracy nor the class-specific accuracy could meet the requirements of climate modeling.

Spatial-temporal Characteristics of Land Use Intensity of Coastal Zone in China During 2000–2010

Based on remote sensing and GIS techniques, land use maps in 2000, 2005 and 2010 in China′s coastal zone were produced, and structural raster data of land use were further generated to calculate land use intensity comprehensive index(LUICI) for analyzing land use spatial-temporal characteristics at 1 km scale. Results show that: 1) from the perspective of spatial patterns of landforms at a macro scale, there is a significant difference in land use intensity between the north and the south of China′s coastal zone. Hotspots of changes mainly concentrated in metropolitan areas, estuaries and coastal wetlands; 2) elevation is an important factor that controlling land use spatial patterns at local scale. Land use intensity is much higher within areas below the elevation of 400 m and it decreased significantly as the elevation increasing; 3) there is a significant land-ocean gradient for land use intensity, which is low in island and near-shore areas, but high in the regions that 4–30 km far away the coastline because of much intensive human activities; however, in recent decades land use intensity had been promoted significantly in low near-shore area due to extensive sea reclamations; 4) significant differences of land use intensity were also found among provincial administrative units. A rising trend of land use intensity was found in provincial-level administrative units from 2000 to 2010. To sum up, elevation, land-ocean gradient, socio-economic status and policy are all influencing factors to the spatial patterns and temporal variations of land use intensity in China′s coastal zone.

Comparing Eight Computing Algorithms and Four Consensus Methods to Analyze Relationship between Land Use Pattern and Driving Forces

Although many computing algorithms have been developed to analyze the relationship between land use pattern and driving forces (RLPDF), little has been done to assess and reduce the uncertainty of predictions. In this study, we investigated RLPDF based on 1990, 2005 and 2012 datasets at two spatial scales using eight state-of-the-art single computing algorithms and four consensus methods in Jinjing rive catchment in Hunan Province, China. At the entire catchment scale, the mean AUC values were between 0.715 (ANN) and 0.948 (RF) for the single-algorithms, and from 0.764 to 0.962 for the consensus methods. At the subcatchment scale, the mean AUC values between 0.624 (CTA) and 0.972 (RF) for the single-algorithms, and from 0.758 to 0.979 for the consensus methods. At the subcatchment scale, the mean AUC values were between 0.624 (CTA) and 0.972 (RF) for the single-algorithms, and from 0.758 to 0.979 for the consensus methods. The result suggested that among the eight single computing algorithms, RF performed the best overall for woodland and paddy field;consensus method showed higher predictive performance for woodland and paddy field models than the single computing algorithms. We compared the simulation results of the best - and worst-performing algorithms for the entire catchment in 2012, and found that approximately 72.5% of woodland and 72.4% of paddy field had probabilities of occurrence of less than 0.1, and 3.6% of woodland and 14.5% of paddy field had probabilities of occurrence of more than 0.5. In other words, the simulation errors associated with using different computing algorithms can be up to 14.5% if a probability level of 0.5 is set as the threshold. The results of this study showed that the choice of modeling approaches can greatly affect the accuracy of RLPDF prediction. The computing algorithms for specific RLPDF tasks in specific regions have to be localized and optimized.

Spatial Pressure Distribution of Cultivated Land and the Analysis of Food Safety in Kunming City,China

The social and economical condition,cultivated land resources and general situation of grain production of research area are introduced.According to relevant data of cultivated land of Kunming City in 2006,taking the minimum per capita cultivated land and index model of cultivated land pressure,and combining with two conditions of per capita grain demand which are 300 kg and 400 kg,the comparative research method was used to calculate and analyze the minimum per capita cultivated land and index model of cultivated land pressure.The results show that when per capita grain demand-Gr is 300 kg,the per capita cultivated land in Kunming City has regional differences,reflects different regular patterns of spatial distribution,and presents obvious and typical radial distribution.Urban area of Kunming has the lowest point and be taken as the center,per capita cultivated land decreases progressively from suburban to the periphery;when per capita grain demand-Gr is 400 kg,under the same consumption level,cultivated land pressures of each county in Kunming City are different,and so are the driven factors;when per capita grain demand-Gr is 300 kg or 400 kg,the indexes of cultivated land pressure in Kunming are all greater than 1,cultivated land pressure is enormous,the indexes of cultivated land pressure of each county(district) have two conditions-greater than 1 and less than 2,and the reasons differ from one another.Combining with the spatial distribution characteristics of the cultivated land and food and the situation of industrial development,the countermeasures and suggestions are put forwarded to make full use of back-up cultivated land,to plan the distribution of industrial structure in each county(district) of Kunming City as a whole,to dispose cultivated land resources reasonably and so on.

Change of cultivated land area and effect on ecosystem service in black soil region in Northeast China: a case study of Lishu County, Jilin Province

It is of great significance to study the influence of spatial pattern change of cultivated land on eco-system service,including the sustainable utilization and ecological protection in black soil region in Northeast China.Taking Lishu County of Jilin Province as the study area,we quantitatively evaluated soil conservation,habitat quality,carbon storage and grain production service,and analyzed the change of cultivated land and ecosystem service pattern in Lishu County from 1990 to 2020 by using Pearson correlation analysis on the correlation between cultivated land change and ecosystem service.The results show that:(1)The cultivated land area of Lishu County was reduced by 19.67 km2,the characteristics of cultivated land change are signifi-cant;(2)the overall change rate of carbon storage,habitat quality,soil conservation and grain production ser-vice in the study area was 10.82%,-0.09%,4.07%and 1.80%,respectively.They all had significant spatial differentiation features;(3)the change of habitat quality,grain production service showed a significant pos-itive correlation with the change of cultivated land area.The change in soil conservation and carbon storage were negatively related to cultivated land area.In order to promote the rational development and utilization of cultivated land in the research area,it is suggested to scientifically carry out the comprehensive utilization of cultivated land reserve resources such as saline-alkali land,strengthen the management and protection of newly added cultivated land at the same time.The results can provide scientific reference for formulating comprehensive land use planning under ecological security conditions.

2000—2020年非洲耕地资源时空格局变化分析

非洲地区面临严重的粮食安全问题,研究其耕地资源时空格局变化对于保障非洲粮食安全具有重要意义.基于2000—2020年间联合国粮农组织的统计数据,通过重心迁移、标准差椭圆及局部空间自相关等方法对非洲耕地资源时空格局的变化特征进行了分析.结果表明:1)非洲耕地整体数量呈稳定上升趋势,20年间耕地面积增加了6321.92万hm^(2),增长率为53.44%,但不同国家间存在差异;2)非洲耕地在几何中心以北区域分布较多,耕地重心迁移方向先向东北后转向偏西方向,移动总距离为111.86 km,偏移速率先快后慢,从前5年的平均10.27 km/a降至后15年的平均4.00 km/a左右;3)非洲耕地分布呈西北—东南向,20年来标准差椭圆转角有向水平方向倒伏趋势,椭圆面积不断缩小,向心性不断增强;4)非洲耕地分布集聚主要出现在西非的尼日尔和尼日利亚,异常区为南非及贝宁.

旅游型传统村落用地与空间格局演变微尺度分析——以陕西省礼泉县袁家村为例

以陕西省礼泉县袁家村为例,基于Google Earth高精度遥感图像,运用参与式乡村评估、ArcGIS空间分析、空间句法等方法分析乡村旅游发展中村庄用地功能及村庄空间格局的演变,探讨旅游干预对村庄空间格局的影响。结果表明:(1)2002—2022年袁家村空间格局发生明显变化,表现为土地利用类型由村民生活生产主导转变为旅游发展所需,致使村庄空间结构由村民居住空间为中心的单核心放射状转向旅游空间为主的多核心密集型;(2)乡村旅游促使空间关系网络趋向复杂化,同时在土地功能细碎化过程中村庄交通空间的稳定性和空间结构主导性凸显;(3)袁家村空间格局演变受市场需求和政府调控等多方面因素推动,村民的积极响应和空间功能的理性更新是其中关键作用力。

喀斯特山地城市景观格局对城市内涝的影响研究——以贵阳市为例

全球气候变化背景下,随着城镇化高速发展,城市内涝灾害愈加明显,已成为造成喀斯特地区损失较为严重的灾害之一。选择西南喀斯特山地城市——贵阳市为研究区,基于2016—2020年实测和调查的内涝灾害数据,运用空间自相关和相关分析方法,探究景观格局对城市内涝的影响。结果表明:1)2016—2020年贵阳市主城区内涝频发,且空间分布差异性显著,呈现显著的空间自相关和集聚分布特征。2)不透水面、绿地与内涝频次的相关性显著,分别呈正、负相关。3)内涝周边500 m缓冲区内景观由少数聚集程度大的斑块构成,优势度较高,景观中的优势斑块类型仅有一种或少量几种;不同土地利用类型的景观格局空间聚集情况差异显著,其中铁路与道路、房屋建筑的景观指数空间聚类较为显著。4)内涝与土地利用类型面积的关系不显著,但与土地利用类型的景观指数有显著相关性,且不同土地利用景观格局对内涝的影响差异较大。研究结果为喀斯特城市内涝防治和景观格局规划管理提供重要参考和借鉴意义。

基于景观指数的关中地区耕地细碎化程度的时空变迁及其驱动因素

[目的]优化陕西耕地细碎化治理,协调粮食需求增长与环境约束之间的矛盾,维护地区粮食安全和促进农业现代化发展。[方法]以关中地区为研究区,以土地利用数据和其他自然经济数据为基础,运用洛伦兹曲线、变异系数法、景观指数、空间自相关等方法构建耕地细碎化评价模型以探索关中地区耕地细碎化(Cultivated Land Fragmentation,简称CLF)的时空变迁,并利用地理探测器对区内CLF进行了驱动力分析。[结果](1)关中地区耕地资源空间分布相对均衡,耕地专业化程度保持较高水平。(2)关中地区的CLF程度变化时空差异显著,CLF程度整体呈现下降态势,但部分地区CLF程度呈增减并存趋势,整体呈现东低西高的态势。(3)关中地区CLF时空分化受多种因素影响,社会经济因素的综合影响明显强于自然因素,其中海拔高度、人口密度、人均耕地面积和地区总产值GDP为主要影响因素;因子间的交互作用效应强于单因子,以双因子增强和非线性增强为主。[结论]关中地区耕地细碎化问题在20年间得到了一定程度的改善,但呈现出较大的地区差异,应进一步在社会经济因素方面对耕地细碎化现象加强综合治理,以推动关中地区农业机械化、现代化发展。

资源型城市城镇低效用地空间格局及其盘活路径研究——以鹤壁市为例

基于高质量国土空间布局和严格管控“三区三线”背景,挖掘存量建设用地,提高土地节约集约利用度已成为城市土地利用亟待解决的重要问题。本文利用鹤壁市旧城镇、旧厂矿、旧村庄三类城镇低效用地的调查数据,运用核密度和标准差椭圆法定量分析了鹤壁市城镇低效用地的空间格局特征,主要结论如下,(1)城镇低效用地表现出面状集聚、多核心的空间分布特点,其中老城区各低效用地点呈“西北-东南”向,集中分布于A1~A5共5个集聚区,数量相对均匀;新城区则呈“东北-西南”向集中分布于B1~B3共3个集聚区,分布呈“东北多西南少”。(2)鹤壁市低效用地空间格局影响因素主要包括资源型城市产业结构调整、工业企业发展不完善、土地征收相关政策调整三个方面。(3)在盘活路径方面,老城区加强停产煤矿厂房的重新利用,部分废弃的采矿用地复垦为公园绿地,新城区重点发展第三产业为主,以引进土地利用强度高的工业企业为主。

黄土高原沟壑区生态用地空间格局变化分析——以陕西省洛川县为例

[目的]揭示基础生态用地与生产性生态用地相结合的现实条件下生态用地的时空格局变化,为探索果业生产在林地资源有限区域的现实生态意义提供支撑。[方法]利用国土二调和三调数据,从景观生态学和空间统计学视角,对洛川县生态用地数量变化、转移过程、空间冷热点进行了分析。[结果](1)2009—2019年,洛川县生态用地总量增加了4703.87 hm^(2),其中林地和果园增加面积最大,分别为23103.4,9025.31 hm^(2)。(2)全县稳定性生态用地面积达108583.1 hm^(2),其中北部的低峁丘陵区稳定性生态用地以林地为主,其面积占比达到了90.04%。中部塬区与南部残塬沟壑区稳定性生态用地以生产性生态用地类型为主,面积占比分别达到了各区域稳定生态用地总面积的44.35%,45.7%。(3)生态用地占比的局部空间自相关分析显示,2009年和2019年两个年度基础性生态用地的聚集度格局未发生显著变化,但生产性生态用地的空间聚集格局变化较大,其高—高聚集区和低—低聚集区分别增加了6079.64,10792.11 hm^(2),统计不显著区域减少了18309.15 hm^(2)。(4)以园地为代表的生产性生态用地变化直接促进了整个县域生态用地格局的变化,其中高—高聚集区和低—低聚集区分别减少了18262.62,8373.14 hm^(2),统计不显著区域增加了27725.61 hm^(2),并显著提高了乡村农民的收入水平,对区域环境的可持续发展具有重要的促进作用。[结论]洛川县以果园为代表的生产性生态用地对该区生态用地稳定性影响较大,未来应加强果业生产对林地资源有限区域的生态研究。

鄱阳湖生态经济区建设用地扩张对耕地景观破碎化的影响

为分析鄱阳湖生态经济区耕地景观与建设用地扩张之间的关系,利用形态学空间格局分析法研究2000-2020年耕地景观破碎化的形态学特点,同时运用外溢效应分析、景观格局指数分析、地理加权回归等模型方法,探究建设用地扩张对耕地景观破碎化的影响。结果表明:2000-2020年间耕地景观破碎化程度加强,核心区面积减少强度由1.33%提高到6.27%,并表现出由平原地区向山地丘陵区加强的地域性差异,且建设用地扩张会导致耕地景观破碎化;建设用地占用耕地的面积由268.60 km2增加到1 003.26 km2,主要发生在路网成熟的地区;建设用地扩张对耕地的外溢效应逐渐增强,在路网成熟地区更显著;建设用地扩张对耕地景观破碎化有较强的正向影响,道路建设对这种影响有强化作用,同时,耕地景观破碎化表现出随道路缓冲距离的减小而加强的阶梯性差异。研究表明,耕地景观破碎化程度受地形和建设用地扩张的影响显著,耕地景观破碎化现象主要发生在地势起伏大或建设用地密集、路网成熟的地区。