基于县域尺度的土地利用景观格局特征及其影响因素研究——以江苏省丰县为例

从类型水平、景观水平两个维度选取8个景观指数定量分析了江苏省丰县土地利用景观格局特征,探讨其影响因素.研究表明,耕地作为丰县景观基底,其景观结合度水平较高;耕地和园地景观的聚集度高、破碎度低、连接度高,而其他农用地和林地则相反;距离交通线路越近,斑块密度、景观多样性、均匀度等景观指数越大;经济较发达镇的斑块密度较大,景观分散度和分离度指数较高,聚集度指数较低;距县城越远,景观类型分布越集中且较单一.     

四川丘陵地区土地整理项目景观格局变化分析——以仪陇马鞍镇南海村土地整理项目为例

以仪陇马鞍镇南海村土地整理项目区为例,以土地整理前后1:2000实地调绘结果数据为基本数据源,采用景观格局指数分析其景观格局变化,探讨土地整理对景观变化的影响.结果表明,坡(地)改梯(田)后耕地中田块斑块数量和斑块密度增加,平均斑块面积和最大斑块指数减小,景观破碎度增加;耕地类中的旱地、农村宅基地及林地斑块数量和斑块密度降低,平均斑块面积和最大斑块指数增大,景观破碎度降低,景观形状较整理前变得规则;景观多样性指数和景观丰度指数降低,景观类型有所减少.     

基于RS和GIS的赛里木湖流域景观格局动态研究

基于RS和GIS的技术方法,运用景观格局指数对赛里木湖流域近25a来的景观格局变化综合分析。结果表明:1986-2010年,赛里木湖流域疏林地、灌木林地和中覆盖度草地面积增加,有林地、高覆盖度草地面积减小。整体上,景观斑块总数增加,景观破碎化指数、景观类型形状指数和景观多样性指数升高,均匀度指数有所减少。由此可以看出,该区域内由于自然或人为因素干扰所导致的景观斑块类型逐渐变得复杂,景观遭到破坏,土地利用向着多样化和非均匀化的方向发展,景观斑块分布变得很不均匀。     

惠来县景观格局与动态变化分析

在GIS技术和卫星遥感资料的支持下,利用景观格局分析软件FRAGSFATS3．3分析了揭阳市惠来县1994-2001年的土地景观格局的动态变化,并分别在类型水平上和景观水平上选择了部分景观指数。计算结果表明,破碎度趋向加深,景观结构和斑块形状复杂性增加（尤以林地和其它用地严重）;景观稳定性增加,优势度减少;景观多样性有所提高,受人类干扰程度加深,说明惠来县城市化速度快,处于城市发展的初期;各景观要素又有不同的景观动态特征。     

基于3S技术的庄河市滨海湿地景观格局演变研究

庄河市位于黄海北部沿海地区,自然海岸线长达285km,拥有丰富的滨海湿地资源,对区域经济的发展具有显著的促进作用.以庄河市2000年和2010年的Landsat TM（或ETM）遥感影像获取研究区的滨海湿地斑块图形数据,选用生态意义较明确的景观特征指数,对庄河市滨海湿地的景观格局变化进行研究.研究结果表明,2000-2010年,庄河市滨海湿地总面积不断缩减,由2000年的131252.60hm2减少到2010年的121489.16hm2,减少幅度为7.44％;湿地斑块数不断增加,由2000年的3425块增加到2010年的3563块;湿地景观多样性指数（H）和景观形状指数（LSI）呈增加趋势,分别由2000年的0.6315和14.0分别增加到2010年的0.8554和18.7;景观优势度指数呈下降趋势,由2000年的0.8359下降到2010年的0.7364,表明庄河市滨海湿地的景观破碎化程度越来越严重.     

伊犁河谷景观格局变化分析

景观生态学是宏观生态研究的一个新的领域.景观动态变化研究,是目前景观生态学中的一个研究热点.基于伊犁河谷2000年、2005年夏季有效时相Landsat TM/ETM 遥感影像资料,综合运用遥感与GIS技术,通过采用分维数,多样性指数,破碎度指数和边界密度等指数,分析了伊犁河谷景观动态变化.研究结果表明:①草地、水域和林地面积大幅度减少,耕地和城乡居民工矿交通用地猛增,城市化进程加快;②伊犁河谷斑块数目增多,景观边缘密度增加,景观破碎度增大,伊犁河谷景观异质性和景观形状的复杂性程度略微提升;③景观基质依然为草地,草地破碎度稍增,草地的多样性和异质性下降;④耕地的斑块数减少而斑块面积增大,破碎化程度降低,耕地的稳定性加强.     

滇东南峰林峰丛区主要盆地土地利用景观格局及生态环境效应

盆地包括以山地、高原为主的盆边区域和以平原或少量缓坡、丘峰分布为主的盆底区域。云南是个多山的省份,人口主要分布在地势低平的盆地区域尤其是盆底区域,盆地人口密集,是云南省主要的经济文化发展要地和农业生产基地。选取生态意义较明显的景观格局特征指数,对滇东南峰林峰丛区主要盆地土地利用结构及生态环境效应进行分析。结果表明:依据盆地的地理环境特征不同,盆地景观系统可分为平坝区、盆地边缘山麓带和盆地边缘山坡带三种景观亚系统类型,每一种景观系统都有多种景观要素构成,且因所处地貌不同而差异显著。盆地土地利用结构中,耕地景观所占的比例最大,平均值最高,其次是森林、草地和人造地表。八宝、广南、丘北、曰者和珠琳盆地景观优势度指数大,景观破碎度指数小,盆地生态环境质量高。景观格局指数与生态环境之间相关性较大,其中景观类型多样性与生态环境指数呈正相关,景观破碎度与生态环境指数呈负相关,景观格局的空间特征对当地的生态环境影响较大。     

岷江流域三江交汇区景观格局变化研究

本文以生态景观理论为基础,地理信息与遥感技术为支撑,对岷江流域三江交汇区三期遥感数据,1990年TM、2002年TM、2014年ETM+数据进行图像分类、景观指数提取、空间分析,同时采用面积转移矩阵统计各景观面积的转移情况,分析景观格局变化的影响因素,研究结果表明:(1)1990—2014年三江交汇区景观类型面积排序为:农田林地草地水域居民地裸地。优势景观为耕地,所占比例由72.83%下降到63.32%,面积减少了3480hm2。草地所占比例呈现波动变化,总体增加了2.81%。林地比例由15.98%上升到18.79%,增加了700hm2。居民地所占比例升高了4.1%;(2)1990年研究区内草地景观易受到外部干扰,其分布形状复杂。林地景观整体聚合度较高同时具有较低的异质性,分布通透性好、规模连续。农田分布较为分散且斑块较小。2002年农田斑块分布复杂化,同时具有聚集度高的特点。2014年研究区内农田优势地位下降。此时农田分布比较破碎并且呈现集中的态势。草地分布规模性较好、分布较为完整,但是内部存在一定的破碎性;(3)三江交汇区景观类型相互转化的主要原因:一是,退耕还林、还草政策实施,海拔超过500m的丘陵山地区域,建立生态保护区。二是,成绵乐铁路和高速路网的完善,使得三江交汇区的土地类型向建设用地转化加快,主要集中在乐山市中区和周围城镇。     

基于高分辨率遥感影像的城市土地利用景观格局分析

以IKONOS卫星遥感影像为基础数据源,在GIS技术的支持下,获取了泸州市区的土地利用类型。借鉴景观生态学的基本原理和方法,基于Fragstats 3.3软件,用景观格局指数定量分析了泸州市区土地利用景观格局的特征。分析结果表明,泸州市区土地利用景观类型丰富,景观多样性程渡高,景观类型均匀程度也较高,但优势景观类型不明显;由于人类干扰程度较大,土地利用景观破碎,稳定性较差。     

基于景观生态学的长春郊区游憩斑块结构研究

基于景观生态学理论，认为斑块是旅游活动的主要发生场所，它的空间结构决定了区域旅游的发展态势。研究了游憩斑块空间结构方面的规律，有助于深入认识斑块的宏观特征，发现旅游投资及游客流动的规律，更有助于把握斑块、廊道与基质三者的关系。从类型、等级方面详细地分析了长春郊区游憩斑块的空间结构，提出了斑块优化的理念。     

Effect of Land-Use Patterns on Total Nitrogen Concentration in the Upstream Regions of the Haihe River Basin, China

Nutrient loading into rivers is generally increased by human-induced land-use changes and can lead to increased surface water pollution. Understanding the extent to which land-use patterns influence nutrient loading is critical to the development of best-management practices aimed at water-quality improvement. In this study, we investigated total nitrogen (total N) concentration as a function of land-use patterns and compared the relative significance of the identified land-use variables for 26 upstream watersheds of the Haihe River basin. Seven land-use intensity and nine landscape complexity variables were selected to form the land-use pattern metrics on the landscape scale. After analyzing the significance of the land-use pattern metrics, we obtained five dominant principal components: human-induced land-use intensity, landscape patch-area complexity, area-weighted landscape patch-shape complexity, forest and grassland area, and landscape patch-shape complexity. A linear regression model with a stepwise selection protocol was used to identify an optimal set of land-use pattern predictors. The resulting contributions to the total N concentration were 50% (human-induced land-use intensity), 23.13% (landscape patch-shape complexity), 14.38% (forest and grassland area), and 12.50% (landscape patch-area complexity), respectively. The regression model using land-use measurements can explain 87% of total N variability in the upstream regions of Haihe River. The results indicated that human-related land-use factors, such as residential areas, population, and road density, had the most significant effect on N concentration. The agricultural area (30.1% of the study region) was not found to be significantly correlated with total N concentration due to little irrigative farmland and rainfall. Results of the study could help us understand the implications of potential land-use changes that often occur as a result of the rapid development in China.     

A Hierarchical Approach to Forest Landscape Pattern Characterization

Landscape spatial patterns have increasingly been considered to be essential for environmental planning and resources management. In this study, we proposed a hierarchical approach for landscape classification and evaluation by characterizing landscape spatial patterns across different hierarchical levels. The case study site is the Red Hills region of northern Florida and southwestern Georgia, well known for its biodiversity, historic resources, and scenic beauty. We used one Landsat Enhanced Thematic Mapper image to extract land-use/-cover information. Then, we employed principal-component analysis to help identify key class-level landscape metrics for forests at different hierarchical levels, namely, open pine, upland pine, and forest as a whole. We found that the key class-level landscape metrics varied across different hierarchical levels. Compared with forest as a whole, open pine forest is much more fragmented. The landscape metric, such as CONTIG_MN, which measures whether pine patches are contiguous or not, is more important to characterize the spatial pattern of pine forest than to forest as a whole. This suggests that different metric sets should be used to characterize landscape patterns at different hierarchical levels. We further used these key metrics, along with the total class area, to classify and evaluate subwatersheds through cluster analysis. This study demonstrates a promising approach that can be used to integrate spatial patterns and processes for hierarchical forest landscape planning and management.     

Exploring changes in Ecuadorian land use for food production and their effects on natural resources

A model is used for the dynamic and spatially explicit exploration of near future agricultural land-use changes. In a case study for Ecuador, different plausible scenarios are formulated, taking into account possible developments in national food demand until the year 2010. The protection of nature parks and restrictions due to land degradation are evaluated with respect to their possible spatial impacts on the land-use change dynamics within the country. Under the assumptions of the demand scenarios, agricultural land-use expands significantly, resulting in more use of land in existing agricultural areas and frontier-type expansion into relatively undisturbed natural areas. The patterns of change depend on the increase in demand, competition between land-use types, changes in driving factors of land use, and the area and characteristics of land that is excluded from agricultural use. The modelled land-use dynamics are related to their possible impacts on the natural resource base, specifically soil fertility. The results indicate potential negative effects of land-use changes on the soil nutrient balance and biodiversity. It is argued that spatial and temporal quantification of land-use dynamics at the landscape level can support research and policies aimed at understanding the driving factors of land-use change and the behaviour of complex agro-ecosystems under changing conditions at different scales. In this way, issues dealing with sustainable food production and the management of the natural resource base can be addressed in a more integrated and quantitative manner.     

Forest and Farmland Conservation Effects of Oregon’s (USA) Land-Use Planning Program

Oregons land-use planning program is often cited as an exemplary approach to forest and farmland conservation, but analyses of its effectiveness are limited. This article examines Oregons land-use planning program using detailed spatial data describing building densities in western Oregon. An empirical model describes changes in building densities on forest and agricultural lands from 1974 to 1994, as a function of a gravity index of lands commuting distance to cities of various sizes, topographic characteristics, and zoning adopted under Oregons land-use planning program. The effectiveness of Oregons land-use planning program is evaluated based on the statistical significance of zoning variables and by computing estimated areas of forest and agricultural lands falling into undeveloped, low-density developed, and developed building density categories, with and without land-use zoning in effect. Results suggest that Oregons land-use planning program has provided a measurable degree of protection to forest and agricultural lands since its implementation.     

Landscape Changes in the Mullica River Basin of the Pinelands National Reserve,New Jersey,USA

In 1979, the Pinelands Commission was established as a regional land-use planning and regulatory agency charged with the implementation of a Comprehensive Management Plan (CMP) for the Pinelands National Reserve (New Jersey, USA). The CMP was created to balance land preservation and development interests in the Reserve. Because water-quality degradation from developed and agricultural landscapes is associated with changes in the composition of biological communities, monitoring landscape changes provides one of the most direct measures of the impact of land-use policies on the Pinelands ecosystem. In this study, we prepared detailed, land-cover maps within randomly selected aerial-photograph plots for a major watershed in the Reserve. We used these land-cover maps to quantify changes in landscape composition and structure (i.e., patch size, patch area, and number of patches) and characterize land-cover transitions in the basin between 1979 and 1991. Because the study period represented the first 12 years of the regional-planning effort in the Reserve, we evaluated the relationship between land-cover transitions and Commission management-area designations which permit different land-use intensities. Although the landscape composition was similar in 1979 and 1991, we found an increase in the total area and number of developed-land, managed-grassland, and barren-land patches. An increase in the number of patches and a decrease in the total area and median and third-quartile patch sizes for forest land and for all patches regardless of cover type indicated that fragmentation of forest land and the landscape as a whole occurred during the study period. The major land-cover transitions that occurred during the period were the loss of forest land to development and associated cover types and the conversion of one agricultural type to another. Overall, land-cover transitions during the period were found to be consistent with the Commission management-area designations, which indicated that the regional-planning effort has been successful in directing human activities to appropriate areas of the basin.     

Forecasting the Effects of Land-Use Change on Forest Rodents in Indiana

Forest cover in the upper Wabash River basin in Indiana was fragmented due to agricultural conversion beginning more than 175 years ago. Currently, urban expansion is an important driver of land-use change in the basin. A land transformation model was applied to the basin to forecast land use from 2000 to 2020. We assessed the effect of this projected land-use change scenario on five forest rodent species at three scales: using occupancy models at the patch level, proportional occupancy models at the landscape level, and ecologically scaled landscape indices to assess the change in connectivity at the watershed level. At the patch and landscape scales, occupancy models had low predictability but suggest that gray squirrels are most susceptible to land-use change. At the watershed scale, declines in connectivity did not correspond with the decline of forest. This study highlights the importance of map resolution and consideration of matrix elements in constructing forecast models. Unforeseen drivers of land use, such as changing economic incentives, may also have important ramifications.     

Patterns of biodiversity and habitat sensitivity in agricultural landscapes

Design of landscape is the process of the arrangement of spatial features with the objective of sustaining ecosystem services, and maintaining ecological functionality to meet societal needs. Along a gradient of cultivation intensity, the functional quality of agricultural landscape was explored and the relationships between landscape metrics and functional quality were analyzed, in order to make effective recommendations for landscape design aimed at sustainable land use schemes. The functional quality of landscape was calculated using the InVest model for 20 farm landscapes (North-Eastern Italy) where biodiversity (plant taxa) and sensitivity to disturbance (hemeroby) were used as model inputs. Results highlighted the importance of specific habitat types such as meadows and woodlands rather than other habitats for improving the biodiversity of agricultural landscapes. A high proportion of these habitats enhanced the functional quality of the landscape when the habitats were organized in large and not isolated patches in heterogeneous landscapes.     

Characterizing land-use diversity in village landscapes for sustainable mountain development: a case study from Indian Himalaya

This study aimed to analyze the ecological, socio-economic and policy implications of land-use diversity in a traditional village landscape (900–1,000 m amsl.) in the Garhwal region of Indian Himalaya. The village landscape was differentiated into three major land-use types viz., forests, settled agriculture and shifting agriculture. Settled agriculture was further differentiated into four agroecosystem types viz., homegarden system (HGS), rainfed agroforestry system (RAS), rainfed crop system (RCS) and irrigated crop system (ICS), and shifting agriculture system (SAS) was differentiated into different stages of a 4-year long cropping phase and a 7-year long fallow phase, and forests into Community Forests (CF) and Reserve Forests (RF). HGS is the most productive agroecosystem, with soil organic carbon and nutrient concentrations significantly higher than all other forest/agricultural land-uses. Farmers capitalize upon crop diversity to cope with the risks and uncertainties of a monsoon climate and spatial variability in ecological factors influencing productivity. The SAS, a land-use adopted as a means of acquiring inheritable rights over larger land holdings provided in the policies during the 1890s, is less efficient in terms of land productivity than the traditional RAS and HGS but is maintained for its high labour productivity coupled with availability of high-quality fuelwood from fallow vegetation. Dominance of fodder trees in the RAS seems to derive from policies causing shortage of fodder available from forests. Cultural norms have favoured equity by allowing hiring of labour only from within the village community and income from non-timber forest products only to the weaker section of the society. Conversion of rainfed to irrigated cropping, a change facilitated by the government, improves agricultural productivity but also increases pressure on forests due to higher rates of farmyard manure input to the irrigated crops. Existing forest management systems are not effective in maintenance of a large basal area in forests together with high levels of species richness, soil fertility and resistance to invasive alien species Lantana camara. Farmers have to spend huge amount of labour and time in producing manure, managing livestock and other subsidiary farm activities. Interlinkages among agriculture, forests and rural economy suggest a need of replacing the present policies of treating agricultural development, forest conservation and economic development as independent sectors by an integrated sustainable development policy. The policy should promote technological and institutional innovations enabling parallel improvements in agricultural productivity and functions of forest ecosystems.