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PubMed2006

Application of fluorescence in situ hybridisation (FISH) to the analysis of yeast population dynamics in winery and laboratory grape must fermentations.

To analyse the yeast population diversity during wine fermentations, specific fluorescein-labelled oligonucleotide probes targeted to the D1/D2 region of the 26S rRNA of different yeast species known to occur frequently in this environment were designed and tested with reference strains. The probes were then used to identify wine must isolates and to follow, in combination with plate counts, the evolution of yeast populations in two winery fermentations of white and red grape musts. In both cases, a high diversity of non-Saccharomyces yeast species was detected, including Candida stellata, Hanseniaspora uvarum, H. guilliermondii, Kluyveromyces marxianus, K. thermotolerans and Torulaspora delbrueckii. Some of these species (e.g., K. marxianus, K. thermotolerans and T. delbrueckii) were present in significant amounts during the tumultuous fermentation stage, despite the predominance of Saccharomyces cerevisiae cells following the inoculation of the wine musts with a starter strain. To further clarify the yeast population dynamics at the late phase of the fermentations, and because winery conditions do not allow a reliable control of experimental variables, strains isolated from the industrial musts were used to conduct two laboratory microvinifications in synthetic grape juice, using different ratios of S. cerevisiae/non-Saccharomyces in the inocula. Under these conditions, the results were similar to those obtained in the winery, showing a yeast profile with mixed species throughout the first fermentation stage, i.e. until about 40-50% of the total sugar was consumed. Non-Saccharomyces yeasts were outgrown by S. cerevisiae only after ethanol reached concentrations around 4-5% (v/v), which argues in favour of a potential important role of non-Saccharomyces in the final organoleptic characteristics of the wine.

Coculture Techniques↗

PubMed2006

The aesthetic dimension in hospitals--an investigation into strategic plans.

BACKGROUND AND RATIONALE: The underlying assumption was that the aesthetics of the hospital surroundings are often neglected. AIMS: This article is the first part of a larger study into the aesthetics of general hospitals. The aim of the study is to throw light on the influence of aesthetics on the health and well-being of patients and the professional personnel, and to examine how aesthetic considerations are dealt with. We present a survey of how the aesthetic dimension is planned and it is considered important in the strategic plans of Norwegian general hospitals. METHODS: Data were sampled by analyzing the strategic plans of somatic hospitals. Sixty-four of 86 hospitals responded (74%). Concepts were categorized in a matrix of 11 main categories, each with subcategories. The method was quantitative, in that the analyzed material was amenable to counting. RESULTS: Very few concrete guidelines or directions for the aesthetic dimension have been included in written documents. This indicates that the aesthetic area is a neglected field in the directions for the daily management of hospitals. CONCLUSIONS: The research available today on the contribution of environmental aesthetics to health, rehabilitation, and well-being suggests that it is important to have concrete guidelines recorded in strategic plans. This field concerns the maintenance of high quality in the caring professions.

Art↗

PubMed2005

Speech recognition abilities in noise for children with severe-to-profound unilateral hearing impairment.

OBJECTIVE: The purpose of this research was to compare the signal-to-noise ratio required for equal performance for children (aged 6-14 years) with normal hearing (N=17) versus those with severe-to-profound unilateral hearing impairment (N=20) who can be at a disadvantage, particularly when sounds are presented to the impaired ear. The listening environment is designed to approximate that which is encountered in a typical classroom. METHODS: All signals (Hearing in Noise Test-Children and Nonsense Syllable Test) were presented in the sound field from various azimuths with continuous noise presented from all quadrants. The children were required to repeat twenty items, from each test, in each listening condition. The intensity of the presentations was varied based on the accuracy of previous items. Average signal-to-noise ratios are compared between and within groups. RESULTS: (1) In most listening conditions, significantly greater signal-to-noise ratios were needed by those with unilateral hearing impairment than those with normal hearing, on both speech tests. (2) In every listening condition, both groups required significantly greater signal-to-noise ratios to perform equally well on the Nonsense Syllable Test as on the Hearing-In-Noise Test-Children. (3) For the Hearing-In-Noise Test-Children, children with normal hearing required significantly greater signal-to-noise ratios when facing the signal than when the signal was presented to a normally hearing ear (monaural direct). (4) On both tests, the children with unilateral hearing impairment required significantly greater signal-to-noise ratios when facing the signal than in the monaural direct condition. (5) On both tests, the children with unilateral hearing impairment required significantly greater signal-to-noise ratios when the signal was presented to the impaired ear (monaural indirect) than when facing the signal. CONCLUSIONS: (1) The children with unilateral hearing impairment require a more advantageous listening condition to perform equally as well as their normally hearing counterparts. (2) All of the children benefited from signals delivered in a monaural direct condition. (3) The children with unilateral hearing impairment performed best in the monaural direct condition or when facing the signal at zero degrees. (4) Significantly greater signal-to-noise ratios were needed for both groups when restricted contextual cues were available versus when sentential cues were available.

Adolescent↗

PubMed2003

Boater preferences for beach characteristics downstream from Glen Canyon Dam, Arizona.

Release flow decisions are increasingly being influenced by an array of social values, including those related to river-based recreation. A substantial portion of past recreation research on downstream impacts of dams has focused on variability of instream flows. This study complements past research by assessing user preferences for beach characteristics affected by long-term impacts of flow regimes. Based upon a study of three recreational user groups (private trip leaders, commercial passengers, and river guides) of the Colorado River in Grand Canyon, preferences for beach size, presence of shade on beach, and presence of vegetation on beach are examined. Results indicate that large size beaches with shade from trees are setting characteristics with highly reliable and strong user preferences. The multinomial regression models developed for each user group indicate that 80% of all respondents would choose beach campsites 800 m(2); results were the same regardless of respondents' past boating experience, boat type (i.e. oar or motorized), or group size. In addition, size of beach was consistently reported to be a trip feature of moderate importance to respondents' river trip. Implications of this research are related to future prospects for controlled floods (i.e. spike flows) released from Glen Canyon Dam.

Arizona↗

PubMed2003

Valuing freshwater salmon habitat on the west coast of Canada.

Changes in land use can potentially reduce the quality of fish habitat and affect the economic value of commercial and sport fisheries that rely on the affected stocks. Parks and protected areas that restrict land-use activities provide benefits, such as ecosystem services, in addition to recreation and preservation of wildlife. Placing values on these other benefits of protected areas poses a major challenge for land-use planning. In this paper, we present a framework for valuing benefits for fisheries from protecting areas from degradation, using the example of the Strait of Georgia coho salmon fishery in southern British Columbia, Canada. Our study improves upon previous methods used to value fish habitat in two major respects. First, we use a bioeconomic model of the coho fishery to derive estimates of value that are consistent with economic theory. Second, we estimate the value of changing the quality of fish habitat by using empirical analyses to link fish population dynamics with indices of land use in surrounding watersheds. In our example, we estimated that the value of protecting habitat ecosystem services is C$0.93 to C$2.63 per ha of drainage basin or about C$1322 to C$7010 per km of salmon stream length (C$1.00=US$0.71). Sensitivity analyses suggest that these values are relatively robust to different assumptions, and if anything, are likely to be minimum estimates. Thus, when comparing alternative uses of land, managers should consider ecosystem services from maintaining habitat for productive fish populations along with other benefits of protected areas.

Animals↗

PubMed2004

Application of the pressure-state-response framework to perceptions reporting of the state of the New Zealand environment.

The Pressure-State-Response framework for environmental reporting was used as a basis to develop a long-term study of people's perceptions of the state of the New Zealand environment. A postal survey of 2000 people, randomly drawn from the New Zealand electoral roll was used to gather data--an effective response rate of 48% was achieved. A range of different resource sectors was examined. We report on New Zealand's air, native animals and plants, and marine fisheries, as well as New Zealand compared to other developed countries. Respondents generally considered that in terms of pressures, states and responses, New Zealand was performing better than other developed countries and that for the resources examined here overall performance was in the adequate to good range, except for marine fisheries. The survey appears to be a useful tool for linking perceptions data into State of the Environment reporting. It also helps identify policy issues where perceptions do not match other scientific evidence or management initiatives. Such findings can be important for the successful implementation of policy measures.

Animals↗

PubMed2004

Some observations on the terminology in co-operative environmental management.

The notion of managing resources in partnership flourishes in natural resources literature. The terms partnership, collaboration, and co-management are associated with co-operative environmental management. Examining issues of definition reveals similarities, differences and, at times, imprecise use of the three terms. The potential for clarity prompts the proposal of a multi-dimensional model of co-operative environmental management. The model consists of three key dimensions. The first dimension reflects the extent power is shared among the actors and agencies involved in the agreement. The second dimension delineates who is involved in the management regime. Process, the final dimension, reflects the variety of ways in which co-management may function or proceed. The presented model highlights dimensions requiring attention by those working within co-operative environmental management. The model is valuable as it reflects the complexity and range of such arrangements in practice.

Conservation of Natural Resources↗

PubMed2004

Quantitative review of riparian buffer width guidelines from Canada and the United States.

This paper reviewed the provincial, territorial, and state guidelines for the retention of treed riparian buffers after timber harvest in Canada and the United States. Comparisons amongst jurisdictions were facilitated through the use of a standardized template for the classification of waterbodies. Mean buffer widths varied from 15.1 to 29.0 m for different waterbody types when both countries were combined. However, Canadian jurisdictions had wider buffers (except for intermittent streams). In part, this was due to the high percentage of Boreal jurisdictions in Canada and Southeast jurisdictions in the United States. The Boreal region had the widest buffers while Southeastern jurisdictions had the narrowest buffers. Just under half (approximately 44%) of the jurisdictions investigated had three or more modifying factors in the guidelines. Of these, waterbody type, shoreline slope, waterbody size, and presence of fish were the most common. Boreal and Pacific jurisdictions tended to have a more diverse set of waterbody size classes, waterbody types, and other modifying factors. Jurisdictions from the Midwest, Northeast, and Southeast maintained relatively simple 'one-size-fits-all' guidelines. Jurisdictions without modifying factors for slope or presence of fish applied wider baseline buffers than jurisdictions with these factors. A large percentage of jurisdictions (approximately 80%) allowed some selective harvest in buffers. However, these were often accompanied by relatively restrictive prescriptions. In comparison to the ecological recommendations, buffer widths for most jurisdictions were adequate to protect the aquatic biota and habitats but were, generally, less than recommended widths for terrestrial communities. In the future, two management trends are likely to continue, the shift towards more complicated guidelines and the expansion to larger-scale, watershed planning of riparian areas.

Animals↗

PubMed2004

First principles of the MameLuke multi-actor modelling framework for land use change, illustrated with a Philippine case study.

This paper presents the first principles of the MameLuke framework, an agent-based modelling framework for studying environmental issues and land use and cover change (LUCC). The MameLuke framework enhances the understanding of the relationship between societal processes and LUCC by modelling individual and group decisions and human-environment interactions. The framework allows for the transformation of real-life stories into computerised models following a predetermined sequence. By doing so, the framework allows for a truly integrative approach, because it is not bound to any particular scientific discourse. Even better, the framework enables its users to combine scientific discourses regarding human decisions and behaviour on multiple scales and levels. The agents (actors and locations) in the framework are heterogeneous. This heterogeneity of agent behaviour is established by dividing the agents into categories. If an agent is a member of an agent category or combination of categories, it has access to a defined set of implementable actions. The actions are constructed out of potential option paths (POPs) and potential option nodes (PONs). The whole of POPs represent a theoretical construct of agent behaviour and decisions that the framework user wishes to explore. The POP defines a sequence of PONs. The PON is a transaction interface between an initialising agent and a recipient agent where they exchange material and immaterial capital. This paper explains the basic architecture of the MameLuke framework and shows its applicability with a model of a Philippine case study. This case study concerns the dynamics of migration and deforestation. It is part of a larger study on land use change in the San Mariano watershed area at the forest fringe of the Sierra Madre mountains in the Philippines.

Conservation of Natural Resources↗

PubMed2004

Modelling land use change with generalized linear models--a multi-model analysis of change between 1860 and 2000 in Gallatin Valley, Montana.

This paper develops an approach to modelling land use change that links model selection and multi-model inference with empirical models and GIS. Land use change is frequently studied, and understanding gained, through a process of modelling that is an empirical analysis of documented changes in land cover or land use patterns. The approach here is based on analysis and comparison of multiple models of land use patterns using model selection and multi-model inference. The approach is illustrated with a case study of rural housing as it has developed for part of Gallatin County, Montana, USA. A GIS contains the location of rural housing on a yearly basis from 1860 to 2000. The database also documents a variety of environmental and socio-economic conditions. A general model of settlement development describes the evolution of drivers of land use change and their impacts in the region. This model is used to develop a series of different models reflecting drivers of change at different periods in the history of the study area. These period specific models represent a series of multiple working hypotheses describing (a) the effects of spatial variables as a representation of social, economic and environmental drivers of land use change, and (b) temporal changes in the effects of the spatial variables as the drivers of change evolve over time. Logistic regression is used to calibrate and interpret these models and the models are then compared and evaluated with model selection techniques. Results show that different models are 'best' for the different periods. The different models for different periods demonstrate that models are not invariant over time which presents challenges for validation and testing of empirical models. The research demonstrates (i) model selection as a mechanism for rating among many plausible models that describe land cover or land use patterns, (ii) inference from a set of models rather than from a single model, (iii) that models can be developed based on hypothesised relationships based on consideration of underlying and proximate causes of change, and (iv) that models are not invariant over time.

Agriculture↗

PubMed2004

Landscape changes in agrarian landscapes in the 1990s: the interaction between farmers and the farmed landscape. A case study from Jutland, Denmark.

Recent landscape changes in a farmed landscape are analysed and related to farm and farmer characteristics. It is assumed that farm and farmer characteristics serve as mediators of large scale or macro driving forces of change-in the present case, a changing farming context including demands for a more environmentally friendly farming practise and a reduced output. The results are based on multivariate analyses of data collected from structured interviews of 160 farmers in a case study area, in central Jutland, measuring 5000 ha. The analysis shows that farmers are highly involved in landscape changes. The investigated landscape changes include creation and removal of landscape elements as well as certain management changes. The most common activity was creation of elements: hedgerows, small woodlands and conversion of rotational arable land to permanent grassland, whereas removal of elements, mainly hedgerows and semi-natural grasslands, were seen less frequently. Management changes like abandonment of permanent grassland were widespread. The results indicate a general extensification of the land use and the authors interpret the results partly as an indication of a change from productivism to a more multifunctional agricultural regime. The observed landscape changes at the farm level show a low, but structured relationship with the current farm and farmer characteristics, meaning that landscape changes were undertaken by various farmers and on various farms. On a general level, however, the age of the farmer and the duration of farm ownership seem to have a major influence on the landscape changes.

Agriculture↗

PubMed2004

The role of population in understanding Honduran land use patterns.

Land use patterns are usually influenced by large variety of factors that act over a broad range of scales. Biophysical, climatic, and socioeconomic factors are important and need to be considered, when distribution of land use is to be understood. The main objective of this study is to test this hypothesis using a statistical analysis at 'supra-local' level. Regression analysis is used to describe land use patterns in Honduras, selected because of its rare combination in Latin America of high population growth and poor biophysical conditions. Furthermore, the aim of the analysis is to specifically highlight two aspects, the effect of spatial and temporal scale and the influence of population density: to determine the influence of spatial and temporal scale, six spatial resolutions at two points in time (1974 and 1993) were included. To determine the role of population density and population growth, this factor was singled out; an analysis of migration patterns was performed; and a measure for technological development was calculated. Multiple regression equations indicate the importance of soil-related, climatic and demographic factors for most of the land uses. Relations appear to be stable in space and time. Rural population density dominates as driver over the whole range of resolutions and for both years, especially for maize where it explains up to 80% of the variation. The strong constant relationship between population and agricultural area could be caused by a lack of technological development. An analysis of yield development confirms that for most annual crops yield increases lag behind area growth. Besides, the strong correlation could be explained by assuming rural population density to be a proxy for a range of other factors, like labour costs, or accessibility that are the direct drivers of land use change. In any case, this study suggests that for a specific--relatively coarse--window of temporal and spatial scale, land use patterns can be described with very simple relationships, with a strong contribution of population density. More local studies are needed to test the hypothesis that rural population density is a proxy for other variables.

Agriculture↗

PubMed2004

Downscaling climate change scenarios in an urban land use change model.

The objective of this paper is to describe the process through which climate change scenarios were downscaled in an urban land use model and the results of this experimentation. The land use models (Urban Growth Model [UGM] and the Land Cover Deltatron Model [LCDM]) utilized in the project are part of the SLEUTH program which uses a probabilistic cellular automata protocol. The land use change scenario experiments were developed for the 31-county New York Metropolitan Region (NYMR) of the US Mid-Atlantic Region. The Intergovernmental Panel on Climate Change (IPCC), regional greenhouse gas (GHG) emissions scenarios (Special Report on Emissions Scenarios (SRES) A2 and B2 scenarios) were used to define the narrative scenario conditions of future land use change. The specific research objectives of the land use modeling work involving the SLEUTH program were threefold: (1) Define the projected conversion probabilities and the amount of rural-to-urban land use change for the NYMR as derived by the UGM and LCDM for the years 2020 and 2050, as defined by the pattern of growth for the years 1960-1990; (2) Down-scale the IPCC SRES A2 and B2 scenarios as a narrative that could be translated into alternative growth projections; and, (3) Create two alternative future growth scenarios: A2 scenario which will be associated with more rapid land conversion than found in initial projections, and a B2 scenario which will be associated with a slower level of land conversion. The results of the modeling experiments successfully illustrate the spectrum of possible land use/land cover change scenarios for the years 2020 and 2050. The application of these results into the broader scale climate and health impact study is discussed, as is the general role of land use/land cover change models in climate change studies and associated environmental management strategies.

Cities↗

PubMed2004

Constructing land-use maps of the Netherlands in 2030.

The National Environmental Assessment Agency of the RIVM in the Netherlands is obliged to report on future trends in the environment and nature every 4 years. The last report, Nature Outlook 2, evaluated the effects of four alternative socio-economic and demographic scenarios on nature and the landscape. Spatially detailed land-use maps are needed to assess effects on nature and landscape. The objective of the study presented here was how to create spatially detailed land-use maps of the Netherlands in 2030 using the Environment Explorer, a Cellular Automata-based land-use model to construct land-use maps from four scenarios. One of these is discussed in great detail to show how the maps were constructed from the various scenario elements, story lines and additional data and assumptions on national, regional and local land-use developments. It was the first time in the history of our outlooks that consistent, spatially detailed land-use maps of the Netherlands for 2030 were constructed from national economic and demographic scenarios. Each map represents a direct reflection of model input and assumptions. The maps do not show the most probable developments in the Netherlands but describe the possible change in land use if Dutch society were to develop according to one of the four scenarios. The large (societal) uncertainties are reflected in the total set of future land-use maps. The application of a land-use model such as the Environment Explorer ensures that all relevant aspects of a scenario, i.e. economic and demographic developments, zoning policies and urban growth, are integrated systematically into one consistent framework.

Agriculture↗

PubMed2004

Modelling land use change and environmental impact.

Land use change models are tools for understanding and explaining the causes and consequences of land use dynamics. Recently, new models, combining knowledge and tools from biophysical and socio-economic sciences, have become available. This has resulted in spatially explicit models focussed on patterns of change as well as agent-based models focused on the underlying decision processes. These developments improve the use of land use change models in environmental impact studies. This special issue documents these developments: (i) analysing the system properties in a biophysical and socio-economic context at multiple scales; (ii) integrating spatially explicit land use change models in integrated assessment models; (iii) visualising and quantifying the potential effects of land use change in trade-off curves, to support land users and policy makers in their decisions; and (iv) modelling of the actual decision making process with agent-based modelling. A new promising future development is the incorporation of dynamic feedbacks between changing land use and changing environmental conditions and vice versa. Unfortunately such dynamic feedbacks between the socio-economic and biophysical model components are still not or only partially operational in current models and are therefore the most important challenge for land use and environmental modellers.

Conservation of Natural Resources↗

PubMed2004

Repeatability of Phase 1 habitat survey.

As the major part of a Habitat Survey of Wales, over 80% of the land surface was surveyed in the field between 1987 and 1997 using the Phase 1 method. A resurvey of 294 randomly selected points was carried out during the early stages to audit the quality of the data being collected, leading to the development of a set of recommendations for the surveyors to improve the consistency and accuracy of habitat mapping. Recent studies have indicated a high level of discrepancy between organisations in field habitat mapping using the Phase 1 method. The findings of the Phase 1 audit in Wales are presented here to show the level of repeatability that was achieved within an organisation. There was 76% correspondence in habitat mapping between 'surveyor' and 'assessor' at the level of individual Phase 1 habitat classes. The degree of repeatability varied according to habitat strata: it was highest for modified land cover types (88%), lowest for semi-improved types (56%) and intermediate for semi-natural types (75%). An overall estimate of the repeatability of Phase 1 survey in the study area of 83% was obtained by weighting the figures for the three strata by the proportion of land area occupied by each stratum. This figure increased to 85% when habitats were amalgamated into Broad Habitat groups. These results are considerably better than those reported by studies of consistency between organisations. Most of the discrepancies between surveyor and assessor were caused by differences in habitat identification. However, at almost two thirds of the points where such a difference occurred, the assessor noted that the vegetation was transitional or borderline with that mapped by the surveyor.

Agriculture↗

PubMed2004

Wetland ecological and compliance assessments in the San Francisco Bay Region, California, USA.

The San Francisco Bay Region of the California Regional Water Quality Control Board (SFB CRWQCB) and the San Francisco District of the US Army Corps of Engineers (US ACOE) are looking for an expeditious means to determine whether regulated wetland projects produce ecologically valuable systems and remain in compliance with their permits (i.e. fulfill their legal requirements) until project completion. A study was therefore undertaken in which 20 compensatory wetland mitigation projects in the San Francisco Bay Region were reviewed and assessed for both permit compliance and habitat function, and this was done using a rapid assessment method adapted for this purpose. Thus, in addition to determining compliance and function, a further goal of this study was to test the efficacy of the assessment method, which, if useful, could be applied not only to mitigation projects, but also to restoration projects and natural wetland systems. Survey results suggest that most projects permitted 5 or more years ago are in compliance with their permit conditions and are realizing their intended habitat functions. The larger restoration sites or those situated between existing wetland sites tend to be more successful and offer more benefits to wildlife than the smaller isolated ones. These results are consistent with regulatory experience suggesting that economies of scale could be realized both with (1) large scale regional wetland restoration sites, through which efforts are combined to control invasive species and share costs, and (2) coordinated efforts by regulatory agencies to track project information and to monitor the increasing number and size of mitigation and restoration sites. In regard to the assessment methods, we find that their value lies in providing a consistent protocol for evaluations, but that the ultimate assessment will rely heavily on professional judgment, regulatory experience, and the garnering of pre-assessment information.

Animals↗

PubMed2005

A spatial-temporal system for dynamic cadastral management.

A practical spatio-temporal database (STDB) technique for dynamic urban land management is presented. One of the STDB models, the expanded model of Base State with Amendments (BSA), is selected as the basis for developing the dynamic cadastral management technique. Two approaches, the Section Fast Indexing (SFI) and the Storage Factors of Variable Granularity (SFVG), are used to improve the efficiency of the BSA model. Both spatial graphic data and attribute data, through a succinct engine, are stored in standard relational database management systems (RDBMS) for the actual implementation of the BSA model. The spatio-temporal database is divided into three interdependent sub-databases: present DB, history DB and the procedures-tracing DB. The efficiency of database operation is improved by the database connection in the bottom layer of the Microsoft SQL Server. The spatio-temporal system can be provided at a low-cost while satisfying the basic needs of urban land management in China. The approaches presented in this paper may also be of significance to countries where land patterns change frequently or to agencies where financial resources are limited.

China↗