Estimation of Landscape Potential for Construction of Surface-Flow Wetlands for Wastewater Treatment in Estonia

The main aim of this article is to demonstrate a method of complex landscape analysis in order to estimate the landscape suitability for the construction of surface-flow wetlands (SFW) for wastewater treatment. This is a multilevel suitability analysis from a more general regional (landscape) assessment based on a map of landscape types (1:100,000) toward a detailed analysis based on aerial orthophotos and detailed soil maps (1:10,000). The assessment scheme consists of landscape classification according to the physical-chemical properties of landscape factors (soil conditions, landforms, hydrogeology, expert decisions concerning landscape values, and suitability analysis). The partial suitability values of SFWs are derived by summarizing expert values for landscape factors (each ranging from -1 to +1). By multiplying the summarized partial suitability values with nature protection values (ranging from 0 to 1), we obtain the final suitability value for each landscape type. Any kind of nature protection area has been considered nonsuitable and excluded at regional-level analysis. The results of the regional analysis demonstrate that suitability is distributed relatively equally over the study area. The high suitability potential (classified as "very suitable") is relatively evenly distributed in lowland regions throughout the country. The share of "very suitable" and "suitable" areas in different counties varies from 5 to 23% and 7 to 49%, respectively. The detailed analysis based on aerial orthophotos showed that areas suitable for SFWs can also be found within the areas determined to be unsuitable based on the less detailed map of landscape types, whereas differences are much greater between settlements chosen for the detailed suitability analysis.     

APPROACHES TO MULTIVARIATE MODELING OF WATER RESOURCES TIME SERIES1

ABSTRACT: Alternative approaches suggested for modeling multiseries of water resources systems are reviewed and compared. Most approaches fall within the general framework of multivariate ARMA models. Formal modeling procedures suggest a three-stage iterative process, namely: model identification, parameter estimation and diagnostic checks. Although a number of statistical tools are already available to follow such modeling process, in general, it is not an easy task, especially if high order vector ARMA models are used. However, simpler ARMA models such as the contemporaneous and the transfer-function models may be sufficient for most applications in water resources. Two examples of modeling bivariate and trivariate streamflow series are included. Alternative modeling procedures are used and compared by using data generation techniques. The results obtained suggest that low order models, as well as contemporaneous ARMA models, reproduce quite well the main statistical characteristics of the time series analyzed. It is assumed that the same conclusions apply for most water resources time series.     

A Quantitative Climate-Match Score for Risk-Assessment Screening of Reptile and Amphibian Introductions

Assessing climatic suitability provides a good preliminary estimate of the invasive potential of a species to inform risk assessment. We examined two approaches for bioclimatic modeling for 67 reptile and amphibian species introduced to California and Florida. First, we modeled the worldwide distribution of the biomes found in the introduced range to highlight similar areas worldwide from which invaders might arise. Second, we modeled potentially suitable environments for species based on climatic factors in their native ranges, using three sources of distribution data. Performance of the three datasets and both approaches were compared for each species. Climate match was positively correlated with species establishment success (maximum predicted suitability in the introduced range was more strongly correlated with establishment success than mean suitability). Data assembled from the Global Amphibian Assessment through NatureServe provided the most accurate models for amphibians, while ecoregion data compiled by the World Wide Fund for Nature yielded models which described reptile climatic suitability better than available point-locality data. We present three methods of assigning a climate-match score for use in risk assessment using both the mean and maximum climatic suitabilities. Managers may choose to use different methods depending on the stringency of the assessment and the available data, facilitating higher resolution and accuracy for herpetofaunal risk assessment. Climate-matching has inherent limitations and other factors pertaining to ecological interactions and life-history traits must also be considered for thorough risk assessment. Electronic supplementary material  The online version of this article (doi:) contains supplementary material, which is available to authorized users.     

人海和谐视角下沿海城市国土空间开发建设适宜性评价研究——以江苏省沿海地区为例

国土空间开发适宜性评价对合理开发国土空间、优化国土空间利用格局具有重要的科学指导价值。遵循陆海统筹原则,采用短板原理、线性加权求和法、空间叠加分析法,从自然环境适宜性、资源环境承载力两个方面构建适宜性评价指标体系,通过对经济社会统计数据、空间数据的处理叠加,对江苏省沿海城市南通、盐城、连云港国土空间开发适宜性进行评价与分析。研究结果表明,国土空间开发适宜性空间分异明显,江苏沿海地区不适宜、基本不适宜、基本适宜、适宜区域面积分别为14 710.37 km²、3376.18 km²、6776.30 km²、5695.64km²,分别占陆域国土总面积的46.76%、10.73%、21.54%、18.10%,各地级市外围区域保护与发展之间的矛盾较为突出。     

Implementing Criteria and Indicators for Sustainable Forest Management in a Decentralized Setting: Italy as a Case Study

The study explored the sub-national implementation of the Pan-European Criteria and Indicators (C&I) for Sustainable Forest Management in Italy, based on the statistical analysis of answers to a questionnaire provided by representatives of the Italian sub-national forest administrations. The questionnaire explored the implementation of C&I in five applications and through the analytical lenses of ‘suitability of C&I to sub-national contexts’ and ‘adaptability of administrations to C&I’. The analysis of suitability and adaptability made it possible to identify and compare challenges in, and successful experiences with, the implementation of C&I, which were then used to formulate recommendations aimed at encouraging implementation and promoting academic and policy debate. The study reveals that C&I were implemented to a moderate extent. This level of implementation was determined most of all by the suitability of C&I to the Italian sub-national contexts, and less by the adaptability of administrations. Recommendations to foster implementation of and dialogue on C&I include the need for Italian sub-national administrations to transpose the Pan-European C&I into sub-national sets tailored to local circumstances by, for example, modifying existing C&I or integrating these into new customized indicator sets.     

Constructing Interpretable Environments from Multidimensional Data: GIS Suitability Overlays and Principal Component Analysis

In landscape planning applications, practitioners and governmental agencies are often faced with a broad array of clientele and constituents having particular land use requirements and needs, ranging from biological conservation to urban development, generating complex multidimensional regional planning goals and objectives. Under this often complex situation, investigators are searching for methods to intelligently simplify complicated spatial environments and render them into interpretable and practical settings. While numerous investigators have studied the generation of a single suitability map, we were interested in addressing the problem of coping with a set of many suitability maps. We applied a data reduction method, principal component analysis, across 15 suitability overlays representing diverse landscape requirements to search for simplified explanations indicating the latent structure of the landscape. The study area was located in a moraine landscape of southern Michigan. We discovered that the 15 suitability overlays could be reduced to seven dimensions, containing 65% of the original data structure and that the seven dimensions reflect a structure where a variety of land uses each have their own optimal spatial locations, indicating low to moderate competition between potentially conflicting land uses and rendering a more easily understood environment. This approach did not render a simple elegant solution but it did reduce the complexity associated with combining many suitability maps.     

The challenges of participatory and systemic environmental management: from aspiration to implementation

Participatory and systemic approaches in environmental management are advocated as they are thought to lead to more equitable, resilient and integrated solutions. However, there is mounting evidence that, in practice, these approaches are exceedingly challenging and do not always lead to improved environmental management, or greater community engagement. To better understand the challenges facing organisations wishing to use these approaches, we monitored the dynamics of a decision-making process on an estate. We observed an oscillating pattern of widening and narrowing participation and integration. Three key factors created tensions with the estate's desires to increase community participation and follow a more systemic approach: stewardship values, organisational capacity and unresolved core issues. A combination of these tensions and other factors led to the early cessation of a series of planned participatory workshops. We conclude that academia needs to take these challenges seriously by placing greater emphasis on multi-dimensional, transdisciplinary analysis of such transformation processes.     

A Conceptual Model for Defining and Assessing Land Management Units Using a Fuzzy Modeling Approach in GIS Environment

Appropriate land management decisions are important for current and future use of the land to ensure its sustainability. This requires that land management units (LMUs) be specified to enable the identification of specific parameters employed in decision making processes. This paper presents the development of a conceptual model, within geographic information systems (GIS), for defining and assessing LMUs from available biophysical information. The model consists of two main components (sub-models): land quality-based suitability analysis and soil erosion estimation. Using a fuzzy set methodology, the first sub-model was constructed to derive a land suitability index (LSI) for a cropping land utilization type. The LSI thus highlights the suitability grades of every pixel in the study area on a continuous basis. A sub-model of soil erosion was established based on the Revised Universal Soil Loss Equation (RUSLE) utilising the same spatial data bases employed for structuring the LSI. Using a soil loss tolerance principle, a fuzzy membership function of average annual soil loss (called soil loss index, SLI) was established, leading to compatibility between LSI and SLI for data integration. LMUs were then derived from various combinations of LSI and SLI. The methodology developed shows the significance of the model for refining available land suitability evaluation systems, which take no account of expected land degradation (from erosion) due to a nominated land use. It also provides a valuable guideline for cost-effective GIS applications in the identification and assessment of homogeneous land units, using available spatial information sets, at a finer scale.     

Clarifying relationships between participatory approaches,issues, processes,and results,through crosscutting case analysis in Japan’s environmental,energy, and food policy areas

Participatory public engagement approaches such as Consensus Conferences, Deliberative Polling^®, and Planning Cells have been used to try and resolve environmental disputes in Japan; however, the strengths and weaknesses of these approaches have not been analyzed adequately or comprehensively. This paper evaluates practical applications of each of the above participatory approaches and conducts a crosscutting analysis of these applications to evaluate how effectively each approach provides scientific information to participants and to consider how the quality of deliberations that occur during these processes affect their outputs. Based on existing classification of participatory processes, and methodology for public involvement in US environmental decision-making, this study compares and contrasts the processes and outcomes of 25 participatory planning case studies in Japan. After compiling a case inventory of participatory approaches, the features of one approach are documented using qualitative analysis, and the aspects of four other approaches are confirmed using crosscutting analysis. In so doing, the likely strengths and weaknesses of each approach are suggested as follows. When discussions require an understanding of scientific knowledge, the Consensus Conference tends to be more suitable than the DP approach. If the consensus of participants is expected, the Consensus Conference is also thought to be suitable. But through a DP process or Simplified Planning Cells approach, we can know the quantitative portion of each opinion through results of ballots. In sum, new participatory approach that incorporates strengths of the Consensus Conference and the Simplified Planning Cells into Local Environmental Planning is needed. Thus, the quality of consensus building could be improved.     

Land Evaluation for Maize Based on Fuzzy Set and Interpolation

The objective of this article is to apply fuzzy set and interpolation techniques for land suitability evaluation for maize in Northern Ghana. Land suitability indices were computed at point observations using the Semantic Import (SI) model, whereas spatial interpolation was carried out by block kriging. Interpolated land suitability shows a high correlation (R2 = 0.87) with observed maize yield at the village level. This indicates that land suitability is closely related to maize yield in the study area. Membership functions were further used to assess the degree of limitation of land characteristics to maize. Sixty percent of the data has membership functions ranging from 0.23 for ECEC to 1.00 for drainage. ECEC, organic C, and clay are the major constraints to maize yield. The use of the fuzzy technique is helpful for land suitability evaluation, especially in applications in which subtle differences in soil quality are of a major interest. Furthermore, the use of kriging that exploits spatial variability of data is useful in producing continuous land suitability maps and in estimating uncertainties associated with predicted land suitability indices.     

Energy consumption and conservation psychology: A review and conceptual analysis

The burgeoning literature devoted to the psychology of energy consumption is categorized by specific methodological approach, is critically reviewed, and is conceptually analyzed. Three main categories of energy research are discerned, these categories corresponding to the traditional methodological typology of the survey study, the field experiment, and the laboratory investigation. For each of these major approaches, several subcategories and special topic areas are noted and discussed. The intention of these conceptual analyses is to stimulate research interest and to provide directions for future research activities. The review concludes with the encouraging observation that several directions can be generalized from the literature. More importantly, these generalizations are corroborated across experiments conducted within each major methodological approach. The importance of behavioral approaches to energy issues and the necessity for additional governmental support for these activities is also emphasized.     

Land-use suitability analysis in the United States: historical development and promising technological achievements

Various methods of spatial analysis are commonly used in land-use plans and site selection studies. A historical overview and discussion of contemporary developments of land-use suitability analysis are presented. The paper begins with an exploration into the early 20th century with the infancy of documented applications of the technique. The article then travels through the 20th century, documenting significant milestones. Concluding with present explorations of advanced technologies such as neural computing and evolutionary programming, this work is meant to serve as a foundation for literature review and a premise for the exploration of new advancements as we enter into the 21st century.     

Who's in and why? A typology of stakeholder analysis methods for natural resource management

Stakeholder analysis means many things to different people. Various methods and approaches have been developed in different fields for different purposes, leading to confusion over the concept and practice of stakeholder analysis. This paper asks how and why stakeholder analysis should be conducted for participatory natural resource management research. This is achieved by reviewing the development of stakeholder analysis in business management, development and natural resource management. The normative and instrumental theoretical basis for stakeholder analysis is discussed, and a stakeholder analysis typology is proposed. This consists of methods for: i) identifying stakeholders; ii) differentiating between and categorising stakeholders; and iii) investigating relationships between stakeholders. The range of methods that can be used to carry out each type of analysis is reviewed. These methods and approaches are then illustrated through a series of case studies funded through the Rural Economy and Land Use (RELU) programme. These case studies show the wide range of participatory and non-participatory methods that can be used, and discuss some of the challenges and limitations of existing methods for stakeholder analysis. The case studies also propose new tools and combinations of methods that can more effectively identify and categorise stakeholders and help understand their inter-relationships.     

Planning Models for Sustainable Water Resource Development

This paper intends to present a critical review of the planning models that can be used for sustainable water resource development. Three types of models are identified and assessed: (1) economic analysis models; (2) decision analysis models; and (3) systems analysis models. The methodology adopted in this paper is based on first describing the different types of models and then synthesizing and evaluating these models in terms of their theoretical underpinnings, applications, strengths and weaknesses. Each model is investigated with respect to its utility in addressing sustainability in water resource management. The study concludes that decision-based and system-based models may offer a wider spectrum of concepts than economic models in addressing multi-objective, multi-actor or 'wicked' problems in water management and resource sustainability.     

Generalized Nondimensional Depth‐Discharge Rating Curves Tested on Florida Streamflow1

Abstract: A discharge rating is a relationship between stage and discharge at a specific point in a river stream or lake outlet structure. Rating curves are useful for interpolating and perhaps extrapolating flow measurements and for use directly in storage routing models. However, rating data and stations are limited. A generalized nondimensional mathematical expression that describes the rating relation of depth and discharge has been developed and tested against observations from 46 stations in West‐Central Florida. Three approaches were tested in sequence to select the best fit. The proposed model is a log‐linear equation with zero intercept and a slope that fits more than 50% of the stations were analyzed. The model is normalized by the depth and discharge values at 10% exceedance from data published by the U.S. Geological Survey. For ungauged applications, Q₁₀ and d₁₀ were derived from a relationship shown to be reasonably well correlated to the watershed drainage area. The average relative error for this parameter set shows that for the flow range up to the Q₁₀ discharge, better than 30% agreement with the USGS rating data can be expected for about 50% of the stations. Further analysis is required to determine why so many stations exhibit such similar behavior and to identify the criteria or parameters governing the differences.     

The Hyper-Envelope Modeling Interface (HEMI): A Novel Approach Illustrated Through Predicting Tamarisk (Tamarix spp.) Habitat in the Western USA

Habitat suitability maps are commonly created by modeling a species’ environmental niche from occurrences and environmental characteristics. Here, we introduce the hyper-envelope modeling interface (HEMI), providing a new method for creating habitat suitability models using Bezier surfaces to model a species niche in environmental space. HEMI allows modeled surfaces to be visualized and edited in environmental space based on expert knowledge and does not require absence points for model development. The modeled surfaces require relatively few parameters compared to similar modeling approaches and may produce models that better match ecological niche theory. As a case study, we modeled the invasive species tamarisk (Tamarix spp.) in the western USA. We compare results from HEMI with those from existing similar modeling approaches (including BioClim, BioMapper, and Maxent). We used synthetic surfaces to create visualizations of the various models in environmental space and used modified area under the curve (AUC) statistic and akaike information criterion (AIC) as measures of model performance. We show that HEMI produced slightly better AUC values, except for Maxent and better AIC values overall. HEMI created a model with only ten parameters while Maxent produced a model with over 100 and BioClim used only eight. Additionally, HEMI allowed visualization and editing of the model in environmental space to develop alternative potential habitat scenarios. The use of Bezier surfaces can provide simple models that match our expectations of biological niche models and, at least in some cases, out-perform more complex approaches.     

Suitability Analysis for Greenway Planning in China: An Example of Chongming Island

Suitability analysis for greenway planning was developed in the Western culture. When applying a suitability analysis to a very different sociocultural context such as China, it is necessary to identify what hinders or promotes it. Through an example of Chongming Island, this article demonstrates how to apply a suitability analysis for greenway planning in China. Furthermore, it argues that obstacles including a lack of data, peculiarity of capability scores within land use and a neglect of scientific group involvement are encountered in the process of applying suitability methods in Chongming or China. Early and sustained attention to such impediments could improve the success of suitability assessment in China. These research results are helpful for the planning and implementation of Chongming greenways.     

Allocation solutions for secondary material production and end of life recovery: Proposals for product policy initiatives

This paper aims at analysing how secondary materials production and end of life recovery processes are modelled in life cycle-based environmental assessment methods in order to discuss their suitability in product policy-support contexts, with a focus on Sustainable Consumption and Production (SCP) policies. The equations prescribed in three published, widely recognised standards are evaluated. In addition, more recent modelling approaches that have been adopted in the context of two EU product policy initiatives (the Product Environmental Footprint (PEF) and the Resource Efficiency Assessment of Products (REAPro)) are similarly analysed. All of the methods are scrutinised against eight criteria which we deem to be important in product policy-support contexts, including comprehensiveness, accommodation of open-loop and closed-loop product systems, and consideration of recyclability/recoverability rates, to name a few. Based on this analysis, it is suggested that the PEF and REAPro modelling approaches appear to be better suited for use in product policy-support contexts than do the currently widely endorsed methods that we considered.     

OPERATIONAL APPLICATIONS OF SATELLITE SNOW COVER OBSERVATIONS1

ABSTRACT: Several federal and state water resources agencies and NASA have recently completed an Applications Systems Verification and Transfer (ASVT) project on the operational applications of satellite snow cover observations. When satellite snow cover data were tested in both empirical seasonal runoff estimation and short term modeling approaches, a definite potential for reducing forecast error was evident. Three years of testing in California resulted in reduction of seasonal stream flow forecast error was evident. Three years of testing in California resulted in reduction of seasonal stream flow forecast error from 15 percent to 10 percent on three study basins; and modeling studies on the Boise River basin in Idaho indicated that satellite snow cover could be used to reduce short term forecast error by up to 9.6 percent (5 day forecast). Potential benefits from improved satellite snow cover based predictions across the 11 western states total 10 million dollars for hydropower and 28 million dollars for irrigation annually. The truly operational application of the new technology in the West, however, will only be possible when the turnaround time for all data is reduced to 72 hours, and the water management agencies can be assured of a continuing supply of operational snow cover data from space.     

SUITABILITY ANALYSIS FOR SELECTION OF PIPELINE ROUTES1

ABSTRACT: A brief review of environmental assessment methods is presented as an introduction to a study of environmental management problems in a coastal area of southern Louisiana. The assessment method used in the study is called suitability analysis and involves the use of matrices. The matrix approach is simply a convenient method for organizing all factors representing environmental concerns in a region. The matrices proved to be very useful in defining the present state of an environmental regime and in maintaining an inventory of regional features and potential impacts. The method is described in detail and illustrated by evaluating the potential impacts of a major pipeline construction job in the area. Of major concern is the potential impact on the water resources of the region. Disruption to the natural drainage could be detremental, and affect the suitability of available water for a given use. Limitations of the method are discussed and potential areas for improvement and research are noted. Coupled with an economic assessment, the suitability analysis method should prove beneficial for selecting development sites for industries, residential areas, and other construction activities.