The application of local measures of spatial autocorrelation for describing pattern in north Australian landscapes

This paper tests the use of a spatial analysis technique, based on the calculation of local spatial autocorrelation, as a possible approach for modelling and quantifying structure in northern Australian savanna landscapes. Unlike many landscapes in the world, northern Australian savanna landscapes appear on the surface to be intact. They have not experienced the same large-scale land clearance and intensive land management as other landscapes across Australia. Despite this, natural resource managers are beginning to notice that processes are breaking down and declines in species are becoming more evident. With future declines of species looking more imminent it is particularly important that models are available that can help to assess landscape health, and quantify any structural change that takes place. GIS and landscape ecology provide a useful way of describing landscapes both spatially and temporally and have proved to be particularly useful for understanding vegetation structure or pattern in landscapes across the world. There are many measures that examine spatial structure in the landscape and most of these are now available in a GIS environment (e.g. FRAGSTATS* ARC, r.le, and Patch Analyst). All these methods depend on a landscape described in terms of patches, corridors and matrix. However, since landscapes in northern Australia appear to be relatively intact they tend to exist as surfaces of continuous variation rather than in clearly defined homogeneous units. As a result they cannot be easily described using entity-based models requiring patches and other essentially cartographic approaches. This means that more appropriate methods need to be developed and explored. The approach examined in this paper enables clustering and local pattern in the data to be identified and forms a generic method for conceptualising the landscape structure where patches are not obvious and where boundaries between landscape features are difficult to determine. Two sites are examined using this approach. They have been exposed to different degrees of disturbance by fire and grazing. The results show that savanna landscapes are very complex and that even where there is a high degree of disturbance the landscape is still relatively heterogeneous. This means that treating savanna landscapes as being made up of homogeneous units can limit analysis of pattern, as it can over simplify the structure present, and that methods such as the autocorrelation approach are useful tools for quantifying the variable nature of these landscapes.     

Assessing Naturalness in Northern Great Lakes Forests Based on Historical Land-Cover and Vegetation Changes

The concept of naturalness was developed to assess to what degree landscapes represent a natural state. Protected areas are often regarded as the remnants of untouched landscapes although many landscapes commonly perceived as pristine have a long history of human impact. Here, we introduced a historical perspective into the concept of naturalness and the analysis of the effectiveness of protected areas by analyzing historical trajectories in land-cover and forest communities for the Pictured Rocks National Lakeshore on Michigan’s Upper Peninsula (USA). Distribution of land-cover and forest community types was reconstructed for pre-settlement time (around 1850), the height of agricultural expansion (1928), and modern conditions (2000). Naturalness of the landscape was assessed by analyzing similarity between pre-settlement and current conditions and by assessing landscape continuity (1850–1928–2000). We compared changes in the strictly protected park core zone with those in the inland buffer zone with ongoing sustainable logging, and a not protected area adjacent to the park. Forest was the dominant land-cover type over the entire study period. We detected a gradient in land-cover continuity from the core zone (81 % continuity) to the inland buffer zone (74 %) and the area outside the park (66 %). Northern hardwood was the dominating forest type in all time points with high continuity (76 %). In contrast, pine forests show a more dynamic pattern with more than 50 % of the initial forests switching to non-forest or early succession forest types by 1928. More than half of the study area was considered as “natural virgin” (no changes in land-cover and forest community type) with a higher portion within the park than in the adjacent area. In contrast, areas with low naturalness are more abundant outside the park. Our study demonstrates the value of integrating historical information into naturalness assessments and the results provide useful information for future park management. More broadly speaking, our study advances research on the effectiveness of protected areas, by going beyond simple measures of averted deforestation, and introducing approaches to directly measure naturalness.     

A PHENOMENOLOGICAL APPROACH TO NATURAL LANDSCAPE COGNITION

The over-emphasis on positivist methodology in the study of landscape aesthetics has limited the benefits to be obtained from the study of individual's personal experiences. Phenomenology, on the other hand, is directly concerned with such subjective experiences. The present study examines how a person interprets landscapes, an examination carried out using phenomenological methodology. Sixteen participants were asked to view various photos of natural landscapes on a display monitor, and their landscape cognition was assessed by means of in-depth interviews. After qualitative analysis, 11 main categories of cognitive aspects were extracted, and a common structure in the cognition of natural landscapes was identified: encountering each landscape evoked each participant's memories and background, and filtered through these influences, imagination/association, impression, aesthetic judgements, and meaning and attractiveness of nature played their roles in the evaluation of each landscape. Photographs in contrast with real-life scenes and comparison between landscapes also affected cognition. Moreover, changes within/between sessions occurred, leading both subtle and dynamic changes of landscape cognition as a whole. Thus, it was indicated that each person had idiosyncrasies that affected each particular transaction occurring between the person and the landscapes. Discussion is provided on some chief aspects of landscape cognition and on methodology for the landscape research.     

Differences in rural landscape perceptions and preferences between farmers and naturalists

A long history of human–nature interactions mediated by agriculture, resulted in high biodiversity in Japanese rural landscapes. This diversity faces drastic decline due to the changes following the socioeconomic circumstances regarding agriculture. Rural conservation will require cooperation among major stakeholders, and knowing how preferences for and perceptions of rural landscapes differ among them can help crafting and implementing effective conservation measures. This study investigated how perceptions of rural landscapes in the Arai-Keinan region, Niigata, Japan differ among people having very different relationships to them. In a photograph-based semantic differential survey, farmers and naturalists, major stakeholders in rural conservation, rated both rice paddy and woodland landscapes. In determining preferences for rice paddy landscapes, perceptions of stewardship and openness were significantly more important for farmers, whereas those of naturalness and biodiversity were significantly more important for naturalists. Such group differences were not found for woodland landscapes. Analysis of perceptions for landscape changes suggested that farmers may have higher normative criteria for rural landscapes than naturalists. Group preferences for intensified rice paddies on sloped topography may conflict, and any rural conservation planning effort should carefully consider that farmers and naturalists consider different aspects of landscapes as important.     

Synergistic Techniques for Better Understanding and Classifying the Environmental Structure of Landscapes

The desire to capture natural regions in the landscape has been a goal of geographic and environmental classification and ecological land classification (ELC) for decades. Since the increased adoption of data-centric, multivariate, computational methods, the search for natural regions has become the search for the best classification that optimally trades off classification complexity for class homogeneity. In this study, three techniques are investigated for their ability to find the best classification of the physical environments of the Mt. Lofty Ranges in South Australia: AutoClass-C (a Bayesian classifier), a Kohonen Self-Organising Map neural network, and a k-means classifier with homogeneity analysis. AutoClass-C is specifically designed to find the classification that optimally trades off classification complexity for class homogeneity. However, AutoClass analysis was not found to be assumption-free because it was very sensitive to the user-specified level of relative error of input data. The AutoClass results suggest that there may be no way of finding the best classification without making critical assumptions as to the level of class heterogeneity acceptable in the classification when using continuous environmental data. Therefore, rather than relying on adjusting abstract parameters to arrive at a classification of suitable complexity, it is better to quantify and visualize the data structure and the relationship between classification complexity and class homogeneity. Individually and when integrated, the Self-Organizing Map and k-means classification with homogeneity analysis techniques also used in this study facilitate this and provide information upon which the decision of the scale of classification can be made. It is argued that instead of searching for the elusive classification of natural regions in the landscape, it is much better to understand and visualize the environmental structure of the landscape and to use this knowledge to select the best ELC at the required scale of analysis.     

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。     

Forest Naturalness: Criterion for Decision Support in Designation and Management of Protected Forest Areas

The article analyses the possibilities of developing an integrated indicator and a model of the assessment of forests naturalness using the data from the database of mountainous spruce forests situated in the Western Carpathians of Slovakia. The article presents two variants of such a model, one based on discriminant analysis, while the second one using an additive approach. The analysis of the data from mountainous spruce forests revealed significant indicators of forest naturalness degree: the arithmetic mean of the ratio between crown length and tree height, the deadwood volume, the coverage of grasses, the coverage of mosses and lichens, and the aggregation index. In addition, the coefficient of variation of tree diameters was included in the final model, since its presence in the model had a positive influence on the correctness of the classification of the forest naturalness degree. The correctness of the classification of the proposed discriminant model was 74.5%. For the additive model, the ranges of the values of the integrated indicator were defined for every degree of forest naturalness by taking into account the error ranges of the arithmetic mean values and the percentiles of the values in individual degrees of forest naturalness. The overall correctness of the classification with the additive model was 63.4%. In the second step, the scheme how to apply the classification model of the forest naturalness degree in the decision-making process of designating as a forest protected areas was proposed. In this scheme, the degree of forest naturalness is considered as a basic criterion for the determination of nature-conservation value of forest ecosystems. As further decision-making criteria we identified the possibility to restore, or the possibility to improve the naturalness of less natural forest ecosystems, which are designated as protected; the occurrence of the endangered species; and the occurrence of other natural values.     

Indicators of perceived naturalness as drivers of landscape preference

The concept of naturalness is one of the more studied concepts in landscape preference research and describes how close a landscape is to a perceived natural state. In this study we explored the relationship between landscape preference and three landscape indicators of naturalness (level of succession, number of woodland patches and shape index of edges). We used computer-generated visualisations of a hypothetical landscape containing pasture and broadleaved woodland. In the landscape simulations we altered the values of the naturalness indicators between the levels of low, medium and high, creating 27 different visualisations. The survey was distributed as an on-line survey in seven different languages and obtained 703 respondents. The study showed a strong relationship with preference for both the level of succession and number of woodland patches, and a weaker relationship with shape index of edges. The two demographic factors which were shown to contribute most to the formation of preference were gender and having a landscape related profession. The results suggest that the selected indicators are more important drivers of preference than demographic factors.     

Agricultural landscapes as multi-scale public good and the role of the Common Agricultural Policy

During the last 50 years, the Common Agricultural Policy (CAP) has impacted the evolution of European agricultural landscapes by driving changes in land use and farming practices. We propose a typology characterising the scales relevant for agricultural landscapes management and argue that action is required on three scales: (1) a landscape oriented management at the farm level; (2) the coordination of land managers’ actions at the landscape level; and (3) the conservation of the diversity of agricultural landscapes in the EU. We provide evidence that until now the CAP has mainly focused on the first scale. We also illustrate how agricultural policy could encourage coordinated actions at the landscape- and EU-scales. In particular, we propose policy instruments to coordinate actions of individual land owners (e.g. collective bonus in agro-environmental contracts or support to environmental cooperatives (scale 2)). We also analyse how the recognition and transposition of the European Landscape Convention could promote trans-frontier landscape cooperation in order, not only to conserve high-quality rural landscapes, but also to ensure the conservation of the diversity of EU landscapes (scale 3). This paper provides a knowledge base to support an integrated CAP design in the direction of improved landscape management, as an important component of the EU project towards more sustainable agriculture.     

Assessing Landscape Health: A Case Study from Northeastern Italy

This article investigates the concept of biophysical landscape health for what are termed “highly governed landscapes.” It proposes a definition of landscape health along with a preliminary diagnostic model and methods. The idea of landscape health derives from the emerging integrative science of ecosystem health, which seeks to diagnose ecosystem condition as humans diagnose human health. Highly governed landscapes, such as the reclaimed areas of coastal northeastern Italy, are landscapes that have been subject to even greater degrees of human manipulation than normal cultural landscapes. These highly altered landscapes are not easily served by existing environmental paradigms and concepts of health are seen to have numerous advantages. This paper condenses a broader investigation of landscape health into three main sections. A brief review of the literature is followed by a case study, which details two different phases of landscape transformation in the Lower Piave area of northeastern Italy. A definition and general parameters of biophysical landscape health are then presented after this background stage. Some key parameters of biophysical health include absence of distress and risk factors, sustainability, biodiversity, resilience, and balance. For certain parameters, a preliminary landscape health diagnostic framework is presented that includes potential diagnostic methods and thresholds based on findings from this case study. At the paper's conclusion, a summary diagnostic model is presented, which suggests a process needed to implement landscape health assessment into practice.     

Hydrologic Landscape Classification to Estimate Bristol Bay,Alaska Watershed Hydrology

Hydrologic landscapes (HLs) have proven to be a useful tool for broad scale assessment and classification of landscapes across the United States as they help organize larger geographical areas into areas of similar hydrologic characteristics. We developed a HL classification for the Bristol Bay watershed of southwest Alaska that incorporates indices of annual climate and seasonality, terrain, geology, and the influences of large lakes and glaciers. A HL classification is particularly useful in this large watershed because of its hydrologic and landscape variability, important salmon fishery, variety of environmental and potential anthropogenic stressors, and lack of widespread hydrologic data. Following creation of Bristol Bay basin‐wide HL classes, we compared the HL distributions within watersheds grouped by two calculated runoff parameters derived from available long‐term streamflow records and found HL distributions within these groups provided predictive insight on hydrologic behavior. Using these developed runoff groups, we estimated expected hydrologic behavior in watersheds across the larger Bristol Bay watershed that lacked gauged streamflow records. The HL approach provides a scientific basis for estimating the first‐order hydrologic behavior of watersheds and landscapes that lack detailed hydrologic information.     

Is Natural Food Healthy?

Is food’s naturalness conceptually connected to its healthiness? Answering the question requires spelling out the following: (1) What is meant by the healthiness of food? (2) What different conceptual meanings the term natural has in the context of food? (3) Are some of those meanings connected to the healthiness of food? In this paper the healthiness of food is understood narrowly as food’s accordance with nutritional needs of its eater. The connection of healthiness to the following five food-related senses of the term “natural’’ is analyzed: naturalness as nutritive suitability, naturalness as moderate need satisfaction, naturalness as lack of human influence, naturalness as authenticity, and naturalness as familiarity. It is concluded that some very common current uses of the term “natural,” such as naturalness as lack of human influence, are not conceptually connected to the healthiness of food. Nevertheless, the first two senses of naturalness are strongly conceptually connected to healthiness in the food context and the last one may be indirectly related to it. Thus, desire for natural food is not necessarily mistaken and misguided.     

Privileged Knowledge and Social Change: Effects on Different Participants of Using Geographic Information Systems Technology in Natural Resource Management

The use of geographic information systems (GIS) technology in natural resource management has expanded rapidly: It is the preferred tool of spatial data analysis addressing large landscapes and is typically the presentation medium for conveying landscape-scale scientific findings to all kinds of audiences. In a case study using the Coastal Landscape Analysis and Modeling Study in western Oregon, it was found that the use of GIS to analyze and display natural resource data in that project produced a variety of responses among different participants and participant groups. The findings offer insights into the workings of groups attempting public involvement in natural resource management.     

Maintaining the Conservation Value of Shifting Cultivation Landscapes Requires Spatially Explicit Interventions

Fallow vegetation within landscapes dominated by shifting cultivation represents a woody species pool of critical importance with considerable potential for biodiversity conservation. Here, through the analysis of factors that influence the early stages of fallow vegetation regrowth in two contrasting forest margin landscapes in Southern Cameroon, we assessed the impact of current trends of land use intensification and expansion of the cultivated areas, upon the conservation potential of shifting cultivation landscapes. We combined the analysis of plot and landscape scale factors and identified a complex set of variables that influence fallow regrowth processes in particular the characteristics of the agricultural matrix and the distance from forest. Overall we observed a decline in the fallow species pool, with composition becoming increasingly dominated by species adapted to recurrent disturbance. It is clear that without intervention and if present intensification trends continue, the potential of fallow vegetation to contribute to biodiversity conservation declines because of a reduced capacity, (1) to recover forest vegetation with anything like its original species composition, (2) to connect less disturbed forest patches for forest dependent organisms. Strategies to combat biodiversity loss, including promotion of agroforestry practices and the increase of old secondary forest cover, will need not only to operate at a landscape scale but also to be spatially explicit, reflecting the spatial pattern of species reservoirs and dispersal strategies and human usage across landscapes.     

An Exploration of the Value of Naturalness and Wild Nature

The source of the value of naturalness is of considerable relevance for the conservation movement, to philosophers, and to society generally. However, naturalness is a complex quality and resists straightforward definition. Here, two interpretations of what is “natural” are explored. One of these assesses the naturalness of species and ecosystems with reference to a benchmark date, such as the advent of industrialization. The value of naturalness in this case largely reflects prioritization of the value of biodiversity. However, the foundation of our understanding of naturalness is that it describes processes that are free of human intervention. Conflict between the two interpretations of naturalness is apparent in the claim that naturalness can be enhanced by human intervention, in the form of ecological restoration. Although naturalness in its purest form precludes human intervention, some human activities are also apparently more natural than others. This continuum of naturalness relates to the autonomy of the individual from abstract instrumentalism, which describes a particular form of influence ubiquitous in contemporary society. The value of naturalness reflects both dissatisfaction with these threats to personal autonomy, and respect for wild nature as the embodiment of a larger-than-human realm.     

改进“自然景观旅游区环境监测方案”的思考——以武陵源景区为例

旅游区环境监测是获取环境质量信息,进行有效环境管理的基础性工作.由于游客对自然景观区环境要求的特殊性和景区污染排放方式的独特性,自然景观旅游区的环境监测方案设计也应区别于其他区域.以世界自然遗产武陵源风景区为例,运用资料收集、实地调查、访谈等方法对其环境监测方案进行调查,按照旅游环境管理要求对其分析评价,发现存在的问题.在此基础上,提出自然景观区环境监测方案的改进思路,使其更符合自然景观区的环境特点与管理要求.     

CLASSIFICATION OF LANDSCAPES USING QUANTITATIVE AND CATEGORICAL DATA, AND PREDICTION OF THEIR SCENIC BEAUTY IN NORTH-WESTERN SPAIN

The present study approaches the environmental assessment of landscapes in two steps: first, through the determination of the relevant characteristics that influence the perception of a sample of galician landscapes, in north-western spain, using both quantitative data and categorical data; and second, by obtaining a list of predictors of scenic beauty for a sample of landscapes. Predictors were related to two of the most fertile approaches to landscape assessment: the psychophysical and cognitive paradigms, the latter including five different models to explain landscape preference. Our results support the existence of a classification criteria that is common to most subjects. The criteria followed by subjects to derive this classification were: presence/absence of water, artificiality of landscape, powerfulness of landscape, and human presence in the landscape. With respect to assessment of scenic beauty, our results showed that both the psychophysical and the cognitive paradigm were able to explain to a high degree the preference scores. The relationships found between predictors from both paradigms indicate that it would be possible to integrate them into a more general model of landscape assessment.     

WATER CONSERVATION METHODS IN URBAN LANDSCAPE IRRIGATION: AN EXPLORATORY OVERVIEW1

ABSTRACT: The increasing use of irrigation for urban landscapes is causing new demands for efficient watering systems. Conservation techniques for irrigated agricultural fields cannot be applied to urban landscapes without amendment. This paper attempts to review methods of urban landscape water conservation in the context of the diversity and complexity of urban landscapes and the demands upon them for quality of the urban environment. A development's initial site layout and planting design fundamentally determine how much irrigation water will be required; the complexity and creativity inherent in urban design open a number of specific possibilities for reducing water demand. Irrigation hardware is then designed to deliver the required volume of water to the specified landscape efficiently by implementing a number of physical and operational principles. Maintenance of the finished development involves monitoring results and making adjustments as the plantings grow and develop. The potential for conserving urban irrigation water is large. Effective conservation need not compromise other qualities of the urban environment such as aesthetics, screening, or shade. Urban design can address both the kinds of landscapes people need, and minimal consumption of irrigation water.     

The lag daemon: hysteresis in rebuilding landscapes and implications for biodiversity futures

Many native bird species in production landscapes of south-eastern Australia demonstrably are declining, with loss of native vegetation as the major cause. Our biodiversity management objectives must be to increase the probabilities of persistence of birds that should occur in the landscape. To do so, there needs to be extensive amounts of new plantings. However, one must be conscious that: (1) new plantings in the impoverished soils and increasing aridity of southern Australia will take many decades to mature, and, also, will offer suitable habitats for a sequence of different species over the course of that maturation process; and (2) much existing vegetation is senescent or will be in a few decades' time. Recent landscape rebuilding models do not explicitly consider maturation time-lags. These hystereses in habitat maturation may create 'bottlenecks' at future times (e.g. in 50yr) that might prevent some species from persisting in whole landscapes even though such landscapes may be much more suitable in 100yr than now. There are several critical issues: (1) species differ in habitat needs and even one species may require different kinds of habitats for foraging and for breeding; (2) landscapes must be conceived, and managed, as spatial and temporal mosaics to allow for persistence of the full set of species that should occupy them, meaning that senescing and replanted habitats may need to be juxtaposed; and (3) in certain particularly problematic landscapes, some highly productive agricultural lands may need to be used for providing habitat because maturation can be fast-tracked in fertile, well-watered locations. The problem is a complex one of scheduling and placement, and its optimization presents major theoretical and analytical challenges.