Dataset Information

Practical application of spatial ecosystem service models to aid decision support.

ABSTRACT: Ecosystem service (ES) spatial modelling is a key component of the integrated assessments designed to support policies and management practices aiming at environmental sustainability. ESTIMAP ("Ecosystem Service Mapping Tool") is a collection of spatially explicit models, originally developed to support policies at a European scale. We based our analysis on 10 case studies, and 3 ES models. Each case study applied at least one model at a local scale. We analyzed the applications with respect to: the adaptation process; the "precision differential" which we define as the variation generated in the model between the degree of spatial variation within the spatial distribution of ES and what the model captures; the stakeholders' opinions on the usefulness of models. We propose a protocol for adapting ESTIMAP to the local conditions. We present the precision differential as a means of assessing how the type of model and level of model adaptation generate variation among model outputs. We then present the opinion of stakeholders; that in general considered the approach useful for stimulating discussion and supporting communication. Major constraints identified were the lack of spatial data with sufficient level of detail, and the level of expertise needed to set up and compute the models.

SUBMITTER: Zulian G

PROVIDER: S-EPMC5821683 | biostudies-other | 2018 Feb

REPOSITORIES: biostudies-other

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Practical application of spatial ecosystem service models to aid decision support.

Zulian Grazia G Stange Erik E Woods Helen H Carvalho Laurence L Dick Jan J Andrews Christopher C Baró Francesc F Vizcaino Pilar P Barton David N DN Nowel Megan M Rusch Graciela M GM Autunes Paula P Fernandes João J Ferraz Diogo D Ferreira Dos Santos Rui R Aszalós Réka R Arany Ildikó I Czúcz Bálint B Priess Joerg A JA Hoyer Christian C Bürger-Patricio Gleiciani G Lapola David D Mederly Peter P Halabuk Andrej A Bezak Peter P Kopperoinen Leena L Viinikka Arto A

Ecosystem services 20180201 Pt C

Ecosystem service (ES) spatial modelling is a key component of the integrated assessments designed to support policies and management practices aiming at environmental sustainability. ESTIMAP ("Ecosystem Service Mapping Tool") is a collection of spatially explicit models, originally developed to support policies at a European scale. We based our analysis on 10 case studies, and 3 ES models. Each case study applied at least one model at a local scale. We analyzed the applications with respect to: ...[more]

PMID: 29492376

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Project description:BackgroundThe Canadian Computed Tomography (CT) Head Rule, a clinical decision rule designed to safely reduce imaging in minor head injury, has been rigorously validated and implemented, and yet expected decreases in CT were unsuccessful. Recent work has identified empathic care as a key component in decreasing CT overuse. Health information technology can hinder the clinician-patient relationship. Patient-centered decision tools to support the clinician-patient relationship are needed to promote evidence-based decisions.ObjectiveOur objective is to formatively evaluate an electronic tool that not only helps clinicians at the bedside to determine the need for CT use based on the Canadian CT Head Rule but also promotes evidence-based conversations between patients and clinicians regarding patient-specific risk and patients' specific concerns.MethodsUser-centered design with practice-based and participatory decision aid development was used to design, develop, and evaluate patient-centered decision support regarding CT use in minor head injury in the emergency department. User experience and user interface (UX/UI) development involved successive iterations with incremental refinement in 4 phases: (1) initial prototype development, (2) usability assessment, (3) field testing, and (4) beta testing. This qualitative approach involved input from patients, emergency care clinicians, health services researchers, designers, and clinical informaticists at every stage.ResultsThe Concussion or Brain Bleed app is the product of 16 successive iterative revisions in accordance with UX/UI industry design standards. This useful and usable final product integrates clinical decision support with a patient decision aid. It promotes shared use by emergency clinicians and patients at the point of care within the emergency department context. This tablet computer app facilitates evidence-based conversations regarding CT in minor head injury. It is adaptable to individual clinician practice styles. The resultant tool includes a patient injury evaluator based on the Canadian CT Head Rule and provides patient specific risks using pictographs with natural frequencies and cues for discussion about patient concerns.ConclusionsThis tool was designed to align evidence-based practices about CT in minor head injury patients. It establishes trust, empowers active participation, and addresses patient concerns and uncertainty about their condition. We hypothesize that, when implemented, the Concussion or Brain Bleed app will support-not hinder-the clinician-patient relationship, safely reduce CT use, and improve the patient experience of care.

Project description:Background:Population growth at all scales and rapid rates of urbanization, particularly in the global South, are placing increasing pressure on ecosystems and their ability to provide services essential for human well-being. The spatial consideration of threats to ecosystem services related to changes in land use is necessary in order to avoid undue impacts on society due to the loss or reduced supply of ecosystem services. This study assesses the potential threats of land use change from strategic and local development proposals to ecosystem services in the city of Durban. Methods:We analysed the spatial relationship between five categories of ecosystem service hotspots (carbon storage, water yield, sediment retention, nutrient retention and flood attenuation) and urban land use change related to selected strategic planning proposals, development proposals and sand-mining applications in Durban, South Africa (eThekwini Municipality) with a view to determining the consequences for progress towards a more sustainable development path in the city. We identified the potential levels of threat related to habitat destruction or transformation for the five categories of ecosystem services and a subset of 13 ecosystem service hotspots, using GIS spatial analysis tools. Results:The results show that on average, should Durban's strategic development plans be realised, approximately 42% loss of ecosystem service hotspots is expected in the two municipal town-planning regions assessed. With respect to development applications between 2009 and 2012, approximately 36% of all environmental impact assessments and 84% of sand mining applications occurred within ecosystem service hotspots within Durban. Discussion:The findings highlight the tension between short-term development pressures and longer-term sustainability goals and confirm that current planning and development proposals pose a threat to ecosystems and their ability to deliver services that support human well-being in Durban. We suggest practical solutions to include ecosystem services into local government decision-making.

Dataset Information

Practical application of spatial ecosystem service models to aid decision support.

Publications

Practical application of spatial ecosystem service models to aid decision support.

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