An indicator framework for assessing ecosystem services in support of the EU Biodiversity Strategy to 2020

Maes, Joachim; Liquete, Camino; Teller, Anne; Erhard, Markus; Paracchini, Maria Luisa; Barredo, José I.; Grizzetti, Bruna; Cardoso, Ana Cristina; Francesca, Somma; Petersen, Jan-Erik; Meiner, Andrus; Gelabert, Eva Royo; Zal, Nihat; Kristensen, Peter; Bastrup-Birk, Annemarie; Biała, Katarzyna; Piroddi, Chiara; Egoh, Benis N.; Degeorges, Patrick; Fiorina, Christel; Santos-Martín, Fernando; Naruševičius, Vytautas; Verboven, Jan; Pereira, Henrique M.; Bengtsson, Jan; Gocheva, Kremena; Marta-Pedroso, Cristina; Snäll, Tord; Estreguil, Christine; San-Miguel-Ayanz, Jesús; Pérez‐Soba, Marta; Grêt‐Regamey, Adrienne; Lillebø, Ana I.; Malak, Dania Abdul; Condé, Sophie; Moen, Jon; Czúcz, Bálint; Drakou, Evangelia G.; Zulian, Grazia; Lavalle, Carlo

doi:10.1016/j.ecoser.2015.10.023

Cited by 454 publications

(253 citation statements)

References 25 publications

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“…Riparian habitats are another example of important landscape features capable of providing multiple ESs (Jones et al 2010). The area of riparian forest is suggested as main indicator to map ES capacity for nutrient retention at the European scale (Maes et al 2016). For the UK, the combination of land cover data at 25-m resolution with flow accumulation maps provides opportunities for the assessment of ESs in riparian zones and the impact of management and land cover change in riparian zones on future ES supply (Jones et al 2010).…”

Section: Mapping Approachmentioning

confidence: 99%

Effects of landscape configuration on mapping ecosystem service capacity: a review of evidence and a case study in Scotland

et al. 2016

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Context Humans structure landscapes for the production of food, fibre and fuel, commonly resulting in declines of non-provisioning ecosystem services (ESs). Heterogeneous landscapes are capable of providing multiple ESs, and landscape configuration-spatial arrangement of land cover in the landscape-is expected to affect ES capacity. However, the majority of ES mapping studies have not accounted for landscape configuration. Objectives Our objective is to assess and quantify the relevance of configuration for mapping ES capacity. A review of empirical evidence for configuration effects on the capacity of ten ESs reveals that for four ESs configuration is relevant but typically ignored in ES quantification. For four ESs we quantify the relevance of configuration for mapping ESs using Scotland as a case study. Methods Each ES was quantified through modelling, respectively ignoring or accounting for configuration. The difference in ES capacity between the two ES models was determined at multiple spatial scales. Results Configuration affected the capacity of all four ESs mapped, particularly at the cell and watershed scale. At the scale of Scotland most local effects averaged out. Flood control and sediment retention responded strongest to configuration. ESs were affected by different aspects of configuration, thus requiring specific methods for mapping each ES. Conclusions Accounting for configuration is important for the assessment of certain ESs at the cell and watershed scale. Incorporating configuration in landscape management provides opportunities for spatial optimization of ES capacity, but the diverging response of ESs to configuration suggests that accounting for configuration involves trade-offs between ESs.

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Section: Mapping Approachmentioning

confidence: 99%

Effects of landscape configuration on mapping ecosystem service capacity: a review of evidence and a case study in Scotland

et al. 2016

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“…Heink and Kowarik (2010, p. 590) provide the following general definition: "An indicator in ecology and environmental planning is a component or a measure of environmentally relevant phenomena used to depict or evaluate environmental conditions or changes or to set environmental goals." Some examples for indicators describing freshwater ES are the area occupied by riparian forests, the amount of fish produced (catch in tonnes by commercial and recreational fisheries), the ecological status of the water body in question, or the number of visitors to specific sites (Maes et al 2016). When selecting indicators for an ES valuation, a careful and critical approach is essential.…”

Section: Es Indicatorsmentioning

confidence: 99%

Riverine Ecosystem Management

Schmutz¹,

Sendzimir²

2018

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Open Access This book is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author (s) and the source, provide a link to the Creative Commons license and indicate if changes were made. The images or other third party material in this book are included in the book's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the book's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Printed on acid-free paperThis Springer imprint is published by the registered company Springer International Publishing AG part of Springer Nature. The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland Challenges in Riverine Ecosystem Management Jan Sendzimir and Stefan SchmutzThis book is dedicated to those interested in the natural and social sciences and elements of governance that will support the sustainable management of rivers and aquatic ecosystems. Since elements of nature and society interact to determine the integrity and trajectory of these systems, they are referred to hereafter as socialecological systems (SESs). This introduction opens the door to these topics in four steps. It begins by explaining why a book dedicated to river management and science is needed at this point. In the second part, it outlines the history of some of the major developments that challenge the integrity of SESs worldwide. In the third part, it describes several of the principal tools used to study as well as manage SES. Tools to measure the degree of degradation of an SES include indicators of biological integrity, ecosystem health, and resilience. Tools to assess and manage the trajectory of an SES include the DPSIR and adaptive management. The introduction closes by outlining the structure of the book through the progression of its chapters. Justification of BookRivers are among the most threatened ecosystems of the world. For more than a centur...

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“…Another model of great interest is that of Ecosystem Services [5]- [7], which has had considerable academic and political impact. Its most important feature for our purposes is its high level of development of the operationalization of the dimensions and its degree of transference to the political decision-making system [8]. Similarly, we have used Colantonio's model [9], [10], more centred on the social dimension as the most complex one within the concept of sustainable development, with critical contributions stressing the need to embrace increasing complexity in assessment methods.…”

Section: Theoretical Models For Focusing Closelymentioning

confidence: 99%

Particularities of the Golf-Course-Based Tourist-Urban Development Model (Gbp): Towards a Set of Contextual Indicators

Gómez

Domínguez-Álvarez

2018

WIT Transactions on Ecology and the Environment

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The first phase of any socio-environmental impact assessment is the detailed investigation of the context where the project is to be carried out. How best to articulate this context into socioenvironmental dimensions and indicators has long been the subject of complex debates in the field. This paper attempts to advance this articulation, suggesting a number of contextual indicators based on the principal theories embracing environmental multidimensionality in measuring systems. We discuss the indicators chosen and the issues encountered in building this approach. Subsequently we assess the capacity of this set of contextual indicators to afford insights into the particularities of the golf-coursebased tourist-urban development model (GBP). We set out to test the hypothesis that local contexts can be distinguished from each other via the impacts of the GBP model. To this end we perform a main components analysis of 16 socio-environment context indicators, using municipal data from a total of 59 coastal municipalities, i.e. the whole coast of Andalusia (Spain). Our findings show with acceptable clarity that the local socio-environmental context is marked by the development of GBP, revealing a battery of factors that, in the geopolitical area studied (Spain, south-west Europe), are especially sensitive to this type of tourist-urban development. Keywords: socio-environmental impact assessment, development projects, golf, tourism, local context analysis, Spain. INTRODUCTIONAmong the salient issues which any socio-environmental impact assessment study (SEIA) has to address is the complexity of the context where the project (road, hydro-electric dam/ plant, mining development, etc.) will be carried out. In-depth knowledge of this context is essential for appropriate impact assessment, since each development project is distinct from all others: differences in scope or field, type of project, size, location, etc., make no two schemes identical.The gradual increase of SIA studies in projects has placed the issue of complexity on the decision-makers' table. Currently SIAs are shifting from a positivist, engineering-based model towards a constructivist one [1], i.e. from a type of research design based on the application of general, standardised models (a deductive approach) towards one which is more tailor-made for each project, laying more stress on the phases of detailed exploration of the social context (geographical, sociological, historical, economic, demographic, cultural, etc.) and embracing participatory methodologies which bring stakeholders into the actual design and implementation of the project. However, developers, public administrators and politicians (the principal decision-makers) all share the prevailing engineering-based model of analysis, with its practitioners and traditional methodological grounding [2]. In the end, it is the scientific-technological models which, in our global culture, are legitimised to address social and historical problems. Thus, a clear challenge arises for SEIA: how to...

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An indicator framework for assessing ecosystem services in support of the EU Biodiversity Strategy to 2020

Cited by 454 publications

References 25 publications

Effects of landscape configuration on mapping ecosystem service capacity: a review of evidence and a case study in Scotland

Effects of landscape configuration on mapping ecosystem service capacity: a review of evidence and a case study in Scotland

Riverine Ecosystem Management

Particularities of the Golf-Course-Based Tourist-Urban Development Model (Gbp): Towards a Set of Contextual Indicators

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