景观经济学:内涵、基本问题和研究方法

对自然和人文景观资源消费与创造行为作为经济学分支或研究方向的必要性及其规律进行探索性、综述性分析,在文献梳理基础上提出景观经济学的内涵、基本问题和研究方法等基本结构框架。景观经济学是研究公众对自然及人文景观偏好形成及演化规律、景观资源消费与创造行为经济规律的社会科学,其基本问题包括景观资源价值评估、景观资源最优利用、景观资源开发与保护政策以及多元景观结构的形成与创造等,其研究方法包括消费者意愿调查法、实验与行为经济学方法、逻辑推理法和个案分析法等。     

David Mark’s contribution to ethnophysiography research

This article describes Professor David Mark’s considerable contributions over the last 11 years to research in Ethnophysiography, the study of terms used for landscape features in different languages, and toponyms (place-names). His preceding research is briefly discussed to provide a summary of the foundation from which ethnophysiography emerged. This article describes the key stages of development of this new field, including David Mark’s collaborations with Andrew Turk, David Stea, and others. It briefly summarizes the key theories used and the two ethnophysiography case studies undertaken thus far. This article provides an overview of how this collaborative transdisciplinary area of research has developed. It highlights the importance of David Mark’s scholarship in this process and indicates some of the impacts of the research.     

Spatial structure analysis of a reptile community with airborne LiDAR data

The analysis of the spatial structure of animal communities requires spatial data to determine the distribution of individuals and their limiting factors. New technologies like very precise GPS as well as satellite imagery and aerial photographs of very high spatial resolution are now available. Data from airborne LiDAR (Light Detection and Ranging) sensors can provide digital models of ground and vegetation surfaces with pixel sizes of less than 1 m. We present the first study in terrestrial herpetology using LiDAR data. We aim to identify the spatial patterns of a community of four species of lizards (Lacerta schreiberi, Timon lepidus, Podarcis bocagei, and P. hispanica), and to determine how the habitat is influencing the distribution of the species spatially. The study area is located in Northern Portugal. The position of each lizard was recorded during 16 surveys of 1 h with a very precise GPS (error < 1 m). LiDAR data provided digital models of surface, terrain, and normalised height. From these data, we derived slope, ruggedness, orientation, and hill-shading variables. We applied spatial statistics to determine the spatial structure of the community. We computed Maxent ecological niche models to determine the importance of environmental variables. The community and its species presented a clustered distribution. We identified 14 clusters, composed of 1–3 species. Species records showed two distribution patterns, with clusters associated with steep and flat areas. Cluster outliers had the same patterns. Juveniles and subadults were associated with areas of low quality, while sexes used space in similar ways. Maxent models identified suitable habitats across the study area for two species and in the flat areas for the other two species. LiDAR allowed us to understand the local distributions of a lizard community. Remotely sensed data and LiDAR are giving new insights into the study of species ecology. Images of higher spatial resolutions are necessary to map important factors such as refuges.     

Regional-scale identification of three-dimensional pattern of vegetation landscapes

The altitudinal pattern of vegetation is usually identified by field surveys,however,these can only provide discrete data on a local mountain.Few studies identifying and analyzing the altitudinal vegetation pattern on a regional scale are available.This study selected central Inner Mongolia as the study area,presented a method for extracting vegetation patterns in altitudinal and horizontal directions.The data included a vegetation map at a 1∶1 000 000 scale and a digital elevation model at a 1∶250 000 scale.The three-dimensional vegetation pattern indicated the distribution probability for each vegetation type and the transition zones between different vegetation landscapes.From low to high elevations,there were five vegetation types in the southern mountain flanks,including the montane steppe,broad-leaved forest,coniferous mixed forest,montane dwarf-scrub and sub-alpine shrub-meadow.Correspondingly,only four vegetation types were found in the northern flanks,except for the montane steppe.This study could provide a general model for understanding the complexity and diversity of mountain environment and landscape.     

‘The forest is our inheritance’: An introduction to Semai Orang Asli place‐naming and belonging in the Bukit Tapah Forest Reserve

The forest realm of the Gòòl‐War watershed of southeast Perak, Malaysia holds much socio‐cultural significance to the Semai Orang Asli communities living along these rivers. Notwithstanding its present‐day location within the Bukit Tapah Forest Reserve, the forest continues to be where Semai conceptions of history and lore are encoded in the geographical particulars of the landscape. A thriving forest‐dependent lifestyle maintains and transmits Semai place knowledge, observed in this research through people's command of ancestral place‐names. This paper provides an introduction to Semai toponymy and considers the implications of indigenous place‐names on the protection of indigenous homelands and ways of life.     

基于GIS的丘陵区耕地景观格局时空演变特征分析

以四川省绵阳市涪城区为例,运用景观格局原理与GIS空间分析方法,分析1996--2009年期间耕地景观时空格局及其演变机理（驱动力）。结果表明：13年间,研究区耕地面积呈急剧减少的趋势,变化率明显高于省内丘陵区平均水平;耕地景观空间格局稳定性逐步降低,格局时空变化的地形分异特征显著;变化趋势受坡度、新增建设用地、人口密度、高程、城镇化水平、GDP、起伏度等负向驱动力与灌溉条件、等级公路水平、土地整理程度等正向驱动力因子共同影响。     

Broad-scale spatial pattern of forest landscape types in the Guiana Shield

Detecting broad scale spatial patterns across the South American rainforest biome is still a major challenge. Although several countries do possess their own, more or less detailed land-cover map, these are based on classifications that appear largely discordant from a country to another. Up to now, continental scale remote sensing studies failed to fill this gap. They mostly result in crude representations of the rainforest biome as a single, uniform vegetation class, in contrast with open vegetations. A few studies identified broad scale spatial patterns, but only when they managed to map a particular forest characteristic such as biomass. The main objective of this study is to identify, characterize and map distinct forest landscape types within the evergreen lowland rainforest at the sub-continental scale of the Guiana Shield (north-east tropical South-America 10° North-2° South; 66° West-50° West). This study is based on the analysis of a 1-year daily data set (from January 1st to December 31st, 2000) from the VEGETATION sensor onboard the SPOT-4 satellite (1-km spatial resolution). We interpreted remotely sensed landscape classes (RSLC) from field and high resolution remote sensing data of 21 sites in French Guiana. We cross-analyzed remote sensing data, field observations and environmental data using multivariate analysis. We obtained 33 remotely sensed landscape classes (RSLC) among which five forest-RSLC representing 78% of the forested area. The latter were classified as different broad forest landscape types according to a gradient of canopy openness. Their mapping revealed a new and meaningful broad-scale spatial pattern of forest landscape types. At the scale of the Guiana Shield, we observed a spatial patterns similarity between climatic and forest landscape types. The two most open forest-RSLCs were observed mainly within the north-west to south-east dry belt. The three other forest-RSLCs were observed in wetter and less anthropized areas, particularly in the newly recognized “Guianan dense forest arch”. Better management and conservation policies, as well as improvement of biological and ecological knowledge, require accurate and stable representations of the geographical components of ecosystems. Our results represent a decisive step in this way for the Guiana Shield area and contribute to fill one of the major shortfall in the knowledge of tropical forests.     

武汉市土地利用/覆被与景观格局变化特征

武汉市作为武汉城市圈的核心城市,其土地利用/覆被和景观格局变化备受关注。本文基于1991年和2009年Landsat TM影像数据,采用RS、GIS和景观生态学方法,运用土地利用变化模型、土地利用转移矩阵和景观格局分析软件Fragstats3.3,对武汉市近19a的土地利用/覆盖及景观格局变化特征进行了动态研究,结果表明此成果能够为武汉市土地资源的合理开发利用和保护提供参考。     

Landscape characterization of Sariska National Park (India) and its surroundings

Landscape characterization gives an overall information on the status of Land Use and Land Cover(LULC),changes in its composition and the impact of natural and human influences operating at different spatial and temporal scales.This information can be used to monitor changes in natural forest resources and protected areas,delineate potential conservation areas and can serve in effective management of ecologically fragile landscapes.In the present study,geo-spatial tools were used to characterize the landscape of Sariska National Park and its surroundings.Satellite data was used to prepare LULC maps for 1989 and 2000,change detection analysis and computation of landscape metrics.Climatic data,field records and modeling tools were used to map the po-tential spread of two invasive species,Prosopis juliflora and Adhatoda vasica.The results show that the forest area increased from 1989 to 2000,indicating better management practices.Landscape metrics(PAFRAC,PLADJ and AI)also support this argument.Improvements in the degraded forest can further enhance this effect.The entire reserve however is suitable for the invasion of P.juliflora and A.vasica but is more pronounced in Boswellia serrata and Anogeissus pendula-Acacia catechu(open)forests.A detailed landscape characterization map can help forest managers to make important policy decisions concerning issues such as in-vasive species.     

利用遥感数据对单株木和森林场景进行建模

针对遥感在三维可视化方面的不足,提出了用SRTM(航天飞机雷达地形测图任务)和TM(陆地资源卫星专题绘图仪)数据建立森林场景的方法。利用L系统语言和L-studio软件,通过提取的分枝规则建立了针叶树和不同叶面积指数(LAI)落叶树的几何模型,并将其作为森林场景内树木的纹理贴图。实验区的三维地形用四叉树结构建立,综合应用数据分块、动态载入、双缓存数组等措施提高大范围场景的漫游速度。从TM影像获取目视判读的遥感分类图和LAI反演图,结合控制树木的栽种位置和纹理选择,建立了单幅TM影像大小的森林场景。实验为其他遥感数据的三维显示提供了通用的建模方法。