Assessing Land-Use Impacts on Natural Resources

/ Much information is available on changes that occur in natural resources from both spatially-explicit data on environmental conditions and models of the interactions of these conditions and resources with human activities. The strategy for assessing land-use impacts on natural resources developed in this paper provides a framework for using relevant data and models to address questions of how management practices can promote both use and protection of resources. This assessment strategy integrates spatially explicit environmental data using geographic information systems (GIS) with computer models that simulate changes in land cover in response to land-use impacts. The computer models also simulate susceptibility of species to changes in habitat suitability and landscape patterns. The approach is applied to management of limestone barrens on the Oak Ridge Reservation in East Tennessee. Potential limestone barrens habitats are identified by overlaying appropriate soils, geology, slope, and land-use/land-cover conditions. Their validity is tested against known sites containing rare species that occur in these habitats. The location of habitats at risk in the aftermath of human activities is determined by using an available area model that identifies the size and proximity of sites that particular types of species can no longer use as habitat. The resulting risk map can be used in land management planning. The approach uses readily available in situ and remotely sensed data and is applicable to a wide range of locations and land-use scenarios. This approach can be refined based on needs identified by land managers and on the sensitivity of the results to the resolution of available resource information.KEY WORDS: Land management; Assessment; Habitat characterization; Limestone barrens; Ecological modeling; Geographic information systems     

Harnessing place attachment for local climate mitigation? Hypothesising connections between broadening representations of place and readiness for change

Public engagement in local environmental planning and decision-making is often advocated on various grounds, both instrumental and normative. Yet in developed countries in the context of renewable energy infrastructure deployment, place attachment, place identity and place-protective action continue to be implicated in public objection. We set out an interdisciplinary change readiness hypothesis of specifically how local participatory scenario or visioning processes that include climate mitigation measures may support the mobilisation of place attachment for climate mitigation, including renewable energy deployment. We hypothesise that local visioning may support movement towards change readiness by helping to anchor unfamiliar social representations of low carbon energy infrastructure and new patterns of urban form in existing, more positive representations of localities and associated attachments. To this end, seeking ways to modify threat perceptions relating to climate change and renewable energy infrastructure is advocated as a key direction for study.     

Changing environmental strategies over time: an empirical study of the steel industry in the United States.

This study investigates how environmental strategies change over time. We submit evidence from the US steel industry that firms have modified their strategies over time. We offer that US industry passed through three stages--cost minimization, cost-effective compliance, and beneficial environmental controls. We compare typologies of environmental strategies and choose that of C. Oliver as the most appropriate. We investigate how environmental strategies in the steel industry changed over time a 4-year period. We offer that a further understanding of Oliver's strategies may increase understanding of the relationship between business and government on environmental issues. One over-arching problem in our field is the need to adequately operationalize how firms change strategies and pass through different stages. We hope that our study will help future researchers and practitioners better articulate the concepts of environmental strategies over time. Our study focused on the steel industry in the United States. We chose the US steel industry as one of the major environmental actors in the United States. The United States Environmental Protection Agency ranks the iron and steel industry as the largest industrial source of toxic environmental contamination. We encourage researchers to evaluate and test our methodology and findings in other contexts--both in other nations and different industries.     

Environmental risk and liability management and its influence on profitability

Managing environmental risk and liability for corporations and consultants requires a prudent combination of insurance techniques, company risk control plans, pollution prevention, and the proper allocation of retention funds. This article presents a review of current risk management techniques used to shield profits from limited and catastrophic loss scenarios. We recommend that corporations and consulting firms integrate insurance and risk management planning to mitigate environmental liabilities, navigate business risks, and safeguard corporate performance..© 1999 John Wiley & Sons, Inc.     

Hyperautomobility and Governmentality in Auckland

Abstract

A number of cities around the world are associated with very high levels of private motor car usage, and Auckland provides an example of one of these ‘hyperautomobile’ cities. There are many problems with this system of transportation and dependence on the private car, including environmental, social and city design dimensions. Though there is a clear aspiration to move towards reduced levels of car usage in the city's transport and spatial planning strategies, there are major difficulties in implementation terms. We develop and consider future scenarios to 2041 to reduce these levels of motorization, and subsequent transport CO₂ emissions, with a much greater use of public transport, walking and cycling, urban planning, and low emission vehicles. The current implementability of such a ‘sustainable mobility’ future is however questioned in the current political and social context, and critically debated in terms of the available governance mechanisms and the limited attempts to shape the behaviour of the public. We conclude by calling for a reconsideration of the policy measures being considered, including the range and levels of application and investment; with a much wider framing of the transport planning remit, and carried out within a much stronger participatory framework for decision-making.     

Mandatory planning for environmental innovation: evaluating regulatory mechanisms for toxics use reduction

This paper analyzes the Massachusetts Toxics Use Reduction Act (TURA), evaluating what TURA has achieved, how it has been implemented, how it motivates firms to change and how its underlying principles might be strengthened to better support innovation for toxics use reduction. Through this analysis recent debates are engaged about the potentials and limitations of using regulation to promote innovation for the environment. The analysis here shows that TURA is distinct from existing regulatory programmes in how it requires firms to self‐evaluate and plan for process improvements, supports implementation through technical assistance and focuses on pollution prevention rather than control. Mandatory planning, new mechanisms of accountability and improved processes of learning have all been critical to TURA's success in motivating firms to innovate for the environment. Taken together, these factors have supported incremental innovations in industry that may point the way toward policies to support even greater environmental improvements.     

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.     

Coupling a settlement growth model with an agro-economic land allocation model for securing ecosystem services provision

Mountain landscapes are undergoing rapid land-use changes. Settlement expansion, the intensification of agricultural land-use practices, and farmland abandonment result in a decline of natural and semi-natural habitats and the related ecosystem services (ES). In this context, spatial planning has emerged as a key instrument for the management of ES provision. To better understand trade-offs and interactions between settlement growth and ES provision in a spatially explicit manner, we present a new modeling framework coupling an agent-based, agro-economic optimization model and a cellular-automata-based settlement growth model. The framework is applied in an inner alpine valley in the Valais, Switzerland, which experienced rapid settlement growth in recent years. Results demonstrate how the model framework allows support of local planning processes. Particularly cooperation among municipalities and an explicit consideration of ES can inform spatially explicit ES trade-off decisions under increasing demand for land. We conclude that better informed spatial planning processes support ES provision.     

The response of industry to environmental regulations in Alexandria, Egypt

The response of industry to current environmental regulations in Alexandria, Egypt was investigated. Environmental officers in 55 industrial firms completed a questionnaire examining their opinions about current environmental regulations, the statuses of their companies' compliance with those regulations, and the environmental management progress and problems in their companies. Although Egyptian industrialists had positive opinions about environmental regulations, their companies were not in satisfactory compliance with those regulations. The context in which environmental concern started in Egypt and the economic environment of Egyptian industry had lead to 'soft' enforcement and implementation of environmental regulations. The response of Alexandria's industrial firms to the issued environmental regulations was limited to adopting symbolic 'end-of-pipe' environmental protection measures. Progress in environmental management and problems in industries of Alexandria were also investigated.     

A framework for assessing the impact of land use policy on community exposure to air toxics

Our research focuses on the linkage between land use planning policy and the spatial pattern of exposure to air toxics emissions. Our objective is to develop a modeling framework for assessment of the community health risk implications of land use policy. The modeling framework is not intended to be a regulatory tool for small-scale land use decisions, but a long-range planning tool to assess the community health risk implications of alternative land use scenarios at a regional or subregional scale. This paper describes the development and application of an air toxic source model for generating aggregate emission factors for industrial and commercial zoning districts as a function of permitted uses. To address the uncertainty of estimating air toxics emission rates for planned general land use or zoning districts, the source model uses an emissions probability mass function that weights each incremental permitted land use activity by the likelihood of occurrence. We thus reduce the uncertainty involved in planning for development with no prior knowledge of the specific industries that may locate within the land use district. These air toxics emission factors can then be used to estimate pollutant atmospheric mass flux from land use zoning districts, which can then be input to air dispersion and human health risk assessment models to simulate the spatial pattern of air toxics exposure risk. The model database was constructed using the California Air Toxics Inventory, 1997 US Economic Census, and land assessment records from several California counties. The database contains information on more than 200 air toxics at the 2-digit Standard Industrial Classification (SIC) level. We present a case study to illustrate application of the model. LUAIRTOX, the interactive spreadsheet model that applies our methodology to the California data, is available at http://www2.bren.ucsb.edu/~mwillis/LUAIRTOX.htm.     

Quantifying the Impact of Corporate Environmental Performance on Shareholder Value

This article demonstrates an approach for analyzing and communicating the financial implications of a company's environmental exposures. In environmentally sensitive industries, this approach can help companies to benchmark themselves against rivals, to identify major sources of environmental risk and opportunity, to assign financial values to risk‐mitigating options, and to communicate their environmental strategies to the investment community and other stake‐holders. © 2000 World Resources Institute. Used with permission.     

Systematic regional planning for multiple objective natural resource management

On-ground natural resource management actions such as revegetation and remnant vegetation management can simultaneously affect multiple objectives including land, water and biodiversity resources. Hence, planning for the sustainable management of natural resources requires consideration of these multiple objectives. However, planning the location of management actions in the landscape often treats these objectives individually to reduce the process and spatial complexity inherent in human-modified and natural landscapes. This can be inefficient and potentially counterproductive given the linkages and trade-offs involved. We develop and apply a systematic regional planning approach to identify geographic priorities for on-ground natural resource management actions that most cost-effectively meet multiple natural resource management objectives. Our systematic regional planning approach utilises integer programming within a structured multi-criteria decision analysis framework. Intelligent siting can capitalise on the multiple benefits of on-ground actions and achieve natural resource management objectives more efficiently. The focus of this study is the human-modified landscape of the River Murray, South Australia. However, the methodology and analyses presented here can be adapted to other regions requiring more efficient and integrated planning for the management of natural resources.     

Environmental management intentions: An empirical investigation of Argentina's polluting firms

This paper builds on past behavioural research which explicitly recognises that ‘actions’ are preceded by ‘intentions’ which are in turn determined by individual mindsets, locus of control, principles of governances and context factors. More concretely, it presents a model that investigates the extent to which environmental behavioural intentions are explained by i) managers' core values, basic assumptions, and beliefs, ii) individual and socio-cognitive frames, iii) principles of governance, and iv) context factors. Context factors include obstacles and drivers of greener behaviours, market pressures, and firm demographics. The resulting theoretical framework is tested empirically through regression analyses that use data gathered from a survey of 536 Argentinean firms in polluting industries. The model performs well, explaining approximately 50% of the variations in the (pro) environmental behaviour of firms. Policy implications are briefly discussed.     

Beyond BAT: Selecting optimal combinations of available techniques,with an example from the limestone industry

Technological choices are multi-dimensional and thus one needs a multi-dimensional methodology to identify best available techniques. Moreover, in the presence of environmental externalities generated by productive activities, ‘best’ available techniques should be best from Society's point of view, not only in terms of private interests. In this paper we present a modeling framework based on methodologies appropriate to serve these two purposes, namely linear programming and internalization of external costs. We develop it as an operational decision tool, of interest for both firms and regulators, and we apply it to a plant in the lime industry. We show why, in this context, there is in general not a single best available technique (BAT), but well a best combination of available techniques to be used (BCAT).     

Coping with Change: The Small Experiment as a Strategic Approach to Environmental Sustainability

The patterns of living, planning, and resource utilization as practiced in Western countries for decades are not sustainable; change of some sort is essential. But what changes are appropriate, and, perhaps more important, will people accept them? The small experiment framework provides a strategy for meeting the challenge of change. By encouraging participation, limiting the scale of initial change, and incorporating some aspects of the familiar, many of the difficulties that make change so problematic can be mitigated or even eliminated. An exploration, from a psychological perspective, of the characteristic difficulties surrounding potential change provides the context for a discussion of the components of the small experiment and an analysis of how these elements address these characteristic challenges. A comparison to adaptive management is drawn, and several concrete examples illustrate how the strategy has been used successfully to address a variety of environmental problems.     

A MULTIVARIATE ANALYSIS OF SERIAL MURDERERS'' DISPOSAL SITE LOCATION CHOICE

The application of environmental psychology principles and findings to the work of criminal investigators is gaining ground. This paper presents one particular application of these principles to the study of those very rare criminals, serial killers. An environmental psychology perspective looks on the rational processes that may underlie these disturbing and highly emotive crimes. For, although the murders committed by serial killers may not be considered rational, but rather a consequence of heightened emotion and lack of impulse control, environmental psychology hypotheses predict that their choice of disposal site location may be guided by a recognisable rationality. Support for this rationality would be evident through their spatial patterns of disposal locations, but these spatial patterns themselves would vary depending on the range over which the offender was operating. It was therefore hypothesised that their spatial patterns would reflect the importance of a) the centrality of the home location for determining the disposal site locations, b) the relevance of maintaining distance between sequential disposal site locations themselves. Further, c) the nature of the influences of home and sequence would vary with the size of the area over which the offender disposed of his victims' bodies.The hypotheses were tested by examining three sub-sets of a sample of 120 American serial murderers, each sub-set travelling a different average distance from their homes to their crimes. The Multidimensional Scaling Procedure, Smallest Space Analysis (SSA-I) was used in order to examine the trends across the distances between each disposal site and every other and their distances from the offender's homes. A three dimensional space was used so that the ‘dimension’ of temporal sequence could be revealed as well as the two dimensions of geographical distances. All hypotheses were supported. Firstly, the home was central to the SSA disposal patterns for each of the three sub-sets. Secondly, the location of each subsequent disposal location tended to be in a different direction from that immediately prior to it. However, thirdly, this sequential process was strongest for the sub-set of 36 offenders who travelled on average less than 10 km and weakest for those 40 offenders who travelled on average greater than 30 km. The implications these results have for modelling offenders' geographical behaviour are discussed.     

Management of sustainability transitions through planning in shrinking resource city contexts: an evaluation of Yubari City,Japan

This paper evaluates the planning competences required to enact a managed transition to sustainability at the municipal level for cities facing population, economic and employment decline. Drawing on the ‘shrinking cities’ literature, we argue consolidation of the built environment can become a focal point for sustaining citizen welfare when transitioning cities that are facing decline, especially those previously reliant on resource industries. We evaluate the former coal mining city of Yubari, Japan, which is developing a consolidated urban form with the aim of creating a ‘sustainable’ future city. Findings from interviews and content analysis of Yubari’s planning policy indicate, however, that to translate ‘shrinking’ a city into a managed transition, spatial planning must be accompanied by a wider range of social policy measures and strong cross-sectoral engagement. We also caution that the unique geographical and political context of Yubari mean its model may not be directly replicable in other contexts.     

Local Dirt, Global Dreams: mining investment and land use change in Arizona

A central problematic for researchers working at the interface of economic and environmental change is the development of research designs and methodologies that can satisfactorily link economic processes of global reach (such as direct investment) to environmental change at local and regional scales. This article reviews recent efforts to couple economic and environmental change and finds that relatively little effort has been made to use the direct investment process as a means of linking industrial restructuring to land use change. The article argues that direct investment, when conceptualised as a political-economic process involving the assemblage of a package of rights (to land, water, pollution permits etc), can be an effective vehicle for tracing through the impacts of industrial restructuring on local environments. To develop this analytical approach, an empirical case of mineral investment in the Gila Valley of eastern Arizona is presented. The case study identifies the acquisition of land and water rights as central strategic issues for mineral firms seeking to make investment, and traces through the impact of these acquisition strategies on existing patterns of land ownership and land use.     

A Conceptual Framework for Selecting and Analyzing Stressor Data to Study Species Richness at Large Spatial Scales

/ In this paper we develop a conceptual framework for selectingstressor data and analyzing their relationship to geographic patterns ofspecies richness at large spatial scales. Aspects of climate and topography,which are not stressors per se, have been most strongly linked withgeographic patterns of species richness at large spatial scales (e.g.,continental to global scales). The adverse impact of stressors (e.g., habitatloss, pollution) on species has been demonstrated primarily on much smallerspatial scales. To date, there has been a lack of conceptual developmenton how to use stressor data to study geographic patterns of speciesrichness at large spatial scales.The framework we developed includes four components: (1) clarification of theterms stress and stressor and categorization of factors affecting speciesrichness into three groups-anthropogenic stressors, natural stressors, andnatural covariates; (2) synthesis of the existing hypotheses for explaininggeographic patterns of species richness to identify the scales over whichstressors and natural covariates influence species richness and to providesupporting evidence for these relationships through review of previousstudies; (3) identification of three criteria for selection of stressor andcovariate data sets: (a) inclusion of data sets from each of the threecategories identified in item 1, (b) inclusion of data sets representingdifferent aspects of each category, and (c) to the extent possible, analysisof data quality; and (4) identification of two approaches for examiningscale-dependent relationships among stressors, covariates, and patterns ofspecies richness-scaling-up and regression-tree analyses.Based on this framework, we propose 10 data sets as a minimum data base forexamining the effects of stressors and covariates on species richness atlarge spatial scales. These data sets include land cover, roads, wetlands(numbers and loss), exotic species, livestock grazing, surface water pH,pesticide application, climate (and weather), topography, and streams.KEY WORDS: Anthropogenic impacts; Biodiversity; Environmental gradients;Geographic information systems; Hierarchy