453,836 research outputs found

    Economic valuation of landscapes: combining landscape ecology and environmental economics methodologies.

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    Aim of the paper is to outline an integrated methodology for deriving economic values of the different landscape components. Our approach integrates landscape ecology principles and non-market valuation methodologies. Firstly, we identify landscape types and quantify their attributes with ‘metrics’ (i.e., objective components) and use discrete choice experiments to elicit the public’s preferences for these landscapes and their attributes (i.e., subjective components). As a case-study we use the Peninsula of Sorrento in Italy, which is a unique Mediterranean landscape, which is increasingly endangered by urban sprawl and decline of traditional farming. Results show the economic value of different types of landscapes and, importantly, provide convincing support for an interdisciplinary approach for landscape valuation

    Valuing alternative bundles of landscape attributes: Cost-benefit analysis for the selection of optimal landscapes

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    The role of landscape valuation and extended cost-benefit analysis inlandscape conservation decision-making is first addressed. It is stressed that substantial research on how to value alternative conservation schemes is required, in order to cope with emerging policy needs. An analytical frame for the valuation of alternative landscape conservation schemes is then discussed. This frame enablesthe analyst to sequentially disaggregate values for whole landscape changes over attributes. This is an essential operation if the optimal bundle of landscape attributes is to be selected by cost-benefit analysis. The concept of substitution between landscape attributes plays an essential role within the whole analytical frame. The circumstances that lead to anticipate substitution between landscape attributes are explored. A brief review of the alternative empirical strategies for landscape valuation is then carried out, to check whether they permit sequential desegregation of landscape value over attributes. Next, an empirical application to the valuation of landscape attribute changes in the Pennine Dales Environmentally Sensitive Area is presented. The empirical results confirm the idea of the prevalence of substitution in valuation in most practical contexts. To illustrate the potential of the proposed approach, a sequential cost-benefit analysis of attribute changes along consistent paths of aggregation is then carried out – which eventually leads to the selection of optimal bundles of landscape attributes. Some problems and limitations of the approach are also discussed. Among them, the question of non-uniqueness, or path dependency of the optimum is given particular consideration

    The Structure of Rural Landscape in Monetary Evaluation Studies: Main Analytical Approaches in Literature

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    Over recent years considerable research has been devoted to the assessment of the rural landscape value. These studies have concerned both use and non-use value estimation. An important issue in monetary evaluations is about taking (or not) into account the structural complexity of landscape. Three analytical approaches may be recognized on the basis of whether landscape structural attributes are involved (global, mono-attribute and multi-attribute approach). The present work is part of a research aimed to seek out rational instruments for guidance policies on rural landscape. It consists in a survey of the main studies appeared in literature. The specific purpose is to classify these empirical analyses in accordance both to the approaches mentioned above and to the landscape typologies (agricultural or forestry) involved.rural landscape, structural attributes, landscape demand, contingent valuation models, choice experiment, Land Economics/Use, Q26,

    Using choice experiments to explore the spatial distribution of willingness to pay for rural landscape improvements

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    We report findings from a choice experiment survey designed to estimate the economic benefits from policy measures which improve the rural landscape under an agri-environment scheme in the Republic of Ireland. Using a panel mixed logit specification to account for unobserved taste heterogeneity we derive individual- specific willingness to pay estimates for each respondent in the sample. We subsequently investigate the existence of spatial dependence of these estimates. Results suggest the existence of positive spatial autocorrelation for all rural landscape attributes. As a means of benefit transfer, kriging methods are employed to interpolate willingness to pay estimates across the whole of the Republic of Ireland. The kriged WTP surfaces confirm the existence of spatial dependence and illustrate the implied spatial variation and regional disparities in WTP for all the rural landscape improvements

    Stability of the WTP measurements with successive use of choice experiments method and multiple programmes method

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    This paper is part of an investigation to evaluate the benefits of landscape policies. Such policies are, within a specific area (here the Monts d’Arrée in Brittany), favouring some landscape attributes. We test out a procedure based on a double device. The first one relies on the choice experiments method and focuses on each attribute. Without prior information about the presence of substitution and complementarity effects between attributes, we work on the basis of scenarios built to ensure the independence of attributes. The important question of the impact of an attribute variation on the aesthetic value of another one, when these attributes are jointly perceived, is tackled by use of the multi-programme method. The two surveys were launched after an interval of one year, sampling among the same population. The WTP results obtained from each method are not statistically different.Valuation; choice modelling; multi-attributes choice set; multi-programme method; choice experiments; landscape; Monts d’Arrée

    Digital forensics formats: seeking a digital preservation storage format for web archiving

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    In this paper we discuss archival storage formats from the point of view of digital curation and preservation. Considering established approaches to data management as our jumping off point, we selected seven format attributes which are core to the long term accessibility of digital materials. These we have labeled core preservation attributes. These attributes are then used as evaluation criteria to compare file formats belonging to five common categories: formats for archiving selected content (e.g. tar, WARC), disk image formats that capture data for recovery or installation (partimage, dd raw image), these two types combined with a selected compression algorithm (e.g. tar+gzip), formats that combine packing and compression (e.g. 7-zip), and forensic file formats for data analysis in criminal investigations (e.g. aff, Advanced Forensic File format). We present a general discussion of the file format landscape in terms of the attributes we discuss, and make a direct comparison between the three most promising archival formats: tar, WARC, and aff. We conclude by suggesting the next steps to take the research forward and to validate the observations we have made

    Landscape attributes governing local transmission of an endemic zoonosis: rabies virus in domestic dogs

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    Landscape heterogeneity plays an important role in disease spread and persistence, but quantifying landscape influences and their scale dependence is challenging. Studies have focused on how environmental features or global transport networks influence pathogen invasion and spread, but their influence on local transmission dynamics that underpin the persistence of endemic diseases remains unexplored. Bayesian phylogeographic frameworks that incorporate spatial heterogeneities are promising tools for analysing linked epidemiological, environmental and genetic data. Here, we extend these methodological approaches to decipher the relative contribu- tion and scale-dependent effects of landscape influences on the transmission of endemic rabies virus in Serengeti district, Tanzania (area ~4,900 km2). Utilizing detailed epidemiological data and 152 complete viral genomes collected between 2004 and 2013, we show that the localized presence of dogs but not their density is the most important determinant of diffusion, implying that culling will be ineffec- tive for rabies control. Rivers and roads acted as barriers and facilitators to viral spread, respectively, and vaccination impeded diffusion despite variable annual cov- erage. Notably, we found that landscape effects were scale-dependent: rivers were barriers and roads facilitators on larger scales, whereas the distribution of dogs was important for rabies dispersal across multiple scales. This nuanced understanding of the spatial processes that underpin rabies transmission can be exploited for targeted control at the scale where it will have the greatest impact. Moreover, this research demonstrates how current phylogeographic frameworks can be adapted to improve our understanding of endemic disease dynamics at different spatial scales

    Targeting Conservation Investments in Heterogeneous Landscapes: A distance function approach and application to watershed management

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    To achieve a given level of an environmental amenity at least cost, decision-makers must integrate information about spatially variable biophysical and economic conditions. Although the biophysical attributes that contribute to supplying an environmental amenity are often known, the way in which these attributes interact to produce the amenity is often unknown. Given the difficulty in converting multiple attributes into a unidimensional physical measure of an environmental amenity (e.g., habitat quality), analyses in the academic literature tend to use a single biophysical attribute as a proxy for the environmental amenity (e.g., species richness). A narrow focus on a single attribute, however, fails to consider the full range of biophysical attributes that are critical to the supply of an environmental amenity. Drawing on the production efficiency literature, we introduce an alternative conservation targeting approach that relies on distance functions to cost-efficiently allocate conservation funds across a spatially heterogeneous landscape. An approach based on distance functions has the advantage of not requiring a parametric specification of the amenity function (or cost function), but rather only requiring that the decision-maker identify important biophysical and economic attributes. We apply the distance-function approach empirically to an increasingly common, but little studied, conservation initiative: conservation contracting for water quality objectives. The contract portfolios derived from the distance-function application have many desirable properties, including intuitive appeal, robust performance across plausible parametric amenity measures, and the generation of ranking measures that can be easily used by field practitioners in complex decision-making environments that cannot be completely modeled. Working Paper # 2002-01

    An Ontology based System for Cloud Infrastructure Services Discovery

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    The Cloud infrastructure services landscape advances steadily leaving users in the agony of choice. As a result, Cloud service identification and discovery remains a hard problem due to different service descriptions, non standardised naming conventions and heterogeneous types and features of Cloud services. In this paper, we present an OWL based ontology, the Cloud Computing Ontology (CoCoOn) that defines functional and non functional concepts, attributes and relations of infrastructure services. We also present a system...Comment: Accepted as an invited paper by Collaboratecom 201

    Matrix composition and patch edges influence plant-herbivore interactions in marine landscapes

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    38 páginas, 4 figuras, 3 tablas.1. The functioning of ecosystems can be strongly driven by landscape attributes. Despite its importance, however, our understanding of how landscape influences ecosystem function derives mostly from species richness and abundance patterns, with few studies assessing how these relate to actual functional rates. 2. We examined the influence of landscape attributes on the rates of herbivory in seagrass meadows, where herbivory has been identified as a key process structuring these relatively simple systems. The study was conducted in three representative Posidonia oceanica meadows. The principal herbivores in these meadows are the fish Sarpa salpa and the sea urchin Paracentrotus lividus, and we hypothesised that differences in their interaction with landscape attributes would significantly influence herbivory rates. 3. We measured herbivore abundance, herbivory rates, primary production and plant quality (C:N) in seagrass patches embedded either in rock or in sand (matrix attribute), in patches either near or far from a rocky reef (distance attribute) and at the edges and interior of meadows. 4. Our results show that matrix and meadow edges significantly affected the actual levels of herbivory. Herbivory rates were higher in seagrass patches embedded in a rocky matrix compared to those on sand, and herbivory at the centre of seagrass meadows was higher than at the edges. In contrast, patch distance to rocky reefs did not affect herbivory. Neither herbivore abundance nor food quality explained the patterns across different landscape attributes. This suggests that variation in herbivory across the landscape may be related much more to behavioural differences between species in their evaluation of risk, movement, and food preference in relation to the landscape structure. 5. Our results indicate that richness and abundance patterns may mask critical interactions between landscape attributes and species responses, which result in considerable heterogeneity in the way key functional processes like herbivory are distributed across the ecosystem mosaic.The Spanish Ministry of Science and Innovation funded this research (projects CTM2010-22273-C02-01 and 02). The Spanish Ministry of Education supported JP (scholarship AP2008-01601) and the Spanish National Research Council supported AG (scholarship JAEPre_08_00466).Peer reviewe
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