Mapping and assessment of ecosystems and their services. Urban ecosystems

Action 5 of the EU Biodiversity Strategy to 2020 requires member states to Map and Assess the state of Ecosystems and their Services (MAES). This report provides guidance for mapping and assessment of urban ecosystems. The MAES urban pilot is a collaboration between the European Commission, the European Environment Agency, volunteering Member States and cities, and stakeholders. Its ultimate goal is to deliver a knowledge base for policy and management of urban ecosystems by analysing urban green infrastructure, condition of urban ecosystems and ecosystem services. This report presents guidance for mapping urban ecosystems and includes an indicator framework to assess the condition of urban ecosystems and urban ecosystem services. The scientific framework of mapping and assessment is designed to support in particular urban planning policy and policy on green infrastructure at urban, metropolitan and regional scales. The results are based on the following different sources of information: a literature survey of 54 scientific articles, an online-survey (on urban ecosystems, related policies and planning instruments and with participation of 42 cities), ten case studies (Portugal: Cascais, Oeiras, Lisbon; Italy: Padua, Trento, Rome; The Netherlands: Utrecht; Poland: Poznań; Spain: Barcelona; Norway: Oslo), and a two-day expert workshop. The case studies constituted the core of the MAES urban pilot. They provided real examples and applications of how mapping and assessment can be organized to support policy; on top, they provided the necessary expertise to select a set of final indicators for condition and ecosystem services. Urban ecosystems or cities are defined here as socio-ecological systems which are composed of green infrastructure and built infrastructure. Urban green infrastructure (GI) is understood in this report as the multi-functional network of urban green spaces situated within the boundary of the urban ecosystem. Urban green spaces are the structural components of urban GI. This study has shown that there is a large scope for urban ecosystem assessments. Firstly, urban policies increasingly use urban green infrastructure and nature-based solutions in their planning process. Secondly, an increasing amount of data at multiple spatial scales is becoming available to support these policies, to provide a baseline, and to compare or benchmark cities with respect to the extent and management of the urban ecosystem. Concrete examples are given on how to delineate urban ecosystems, how to choose an appropriate spatial scale, and how to map urban ecosystems based on a combination of national or European datasets (including Urban Atlas) and locally collected information (e.g., location of trees). Also examples of typologies for urban green spaces are presented. This report presents an indicator framework which is composed of indicators to assess for urban ecosystem condition and for urban ecosystem services. These are the result of a rigorous selection process and ensure consistent mapping and assessment across Europe. The MAES urban pilot will continue with work on the interface between research and policy. The framework presented in this report needs to be tested and validated across Europe, e.g. on its applicability at city scale, on how far the methodology for measuring ecosystem condition and ecosystem service delivery in urban areas can be used to assess urban green infrastructure and nature-based solutions

Information technology and urban green analysis

It is well recognized that green area plays a pivotal role in improving urban environment, such as preserving water and soil, controlling temperature and humidity of air, preventing pollution, flood prevention, functioning as buffers between incompatible land uses, preserving natural habitat, and providing space for recreation and relaxation. However, due to pressures from new development both in urban fringes and urban centres, urban green and open spaces are seen to be rapidly declining in term of allocated spaces and quality. Without careful urban land use planning, many open spaces will be filled with residential and commercial buildings. Therefore, there is a need for proper planning control to ensure that the provisions of green spaces are adequately being conserved for current and future generations. The need for an urban green information system is particularly important for strategic planning at macro level and local planning at the micro level. The advent of information technology has created an opportunity for the development of new approaches in preserving and monitoring the development of urban green and open spaces. This paper will discuss the use of Geographical Information Systems (GIS) incorporated with other data sources such as remote sensing images and aerial photographs in providing innovative and alternative solutions in the management and monitoring of urban green. GIS is widely accepted in urban landscape planning as it can provide better understanding on the spatial pattern and changes of land use in an area. This paper will primarily focus on digital database that are developed to assist in monitoring urban green and open spaces at regional and local context. The application of GIS in the Klang Valley region or better known as AGISwlk developed since mid-1990's is currently being used by various organisations in the region. The focus of AGISwlk is not merely in providing relevant database to its stakeholders but more importantly, assist in making specific and relevant decisions with regard to spatial planning. It is also used to monitor the loss of green areas by using several temporal data sets. The method of classifying green and open spaces in the region is also being discussed. This paper demonstrates that GIS can be an effective tool in preserving and monitoring green and open spaces in an urban area. The contribution of urban green digital database in someway may leads toward landscape sustainability as to satisfy the ever changing society

Participatory Patterns in an International Air Quality Monitoring Initiative

The issue of sustainability is at the top of the political and societal agenda, being considered of extreme importance and urgency. Human individual action impacts the environment both locally (e.g., local air/water quality, noise disturbance) and globally (e.g., climate change, resource use). Urban environments represent a crucial example, with an increasing realization that the most effective way of producing a change is involving the citizens themselves in monitoring campaigns (a citizen science bottom-up approach). This is possible by developing novel technologies and IT infrastructures enabling large citizen participation. Here, in the wider framework of one of the first such projects, we show results from an international competition where citizens were involved in mobile air pollution monitoring using low cost sensing devices, combined with a web-based game to monitor perceived levels of pollution. Measures of shift in perceptions over the course of the campaign are provided, together with insights into participatory patterns emerging from this study. Interesting effects related to inertia and to direct involvement in measurement activities rather than indirect information exposure are also highlighted, indicating that direct involvement can enhance learning and environmental awareness. In the future, this could result in better adoption of policies towards decreasing pollution.Comment: 17 pages, 6 figures, 1 supplementary fil

Development and evaluation of land use regression models for black carbon based on bicycle and pedestrian measurements in the urban environment

Land use regression (LUR) modelling is increasingly used in epidemiological studies to predict air pollution exposure. The use of stationary measurements at a limited number of locations to build a LUR model, however, can lead to an overestimation of its predictive abilities. We use opportunistic mobile monitoring to gather data at a high spatial resolution to build LUR models to predict annual average concentrations of black carbon (BC). The models explain a significant part of the variance in BC concentrations. However, the overall predictive performance remains low, due to input uncertainty and lack of predictive variables that can properly capture the complex characteristics of local concentrations. We stress the importance of using an appropriate cross-validation scheme to estimate the predictive performance of the model. By using independent data for the validation and excluding those data also during variable selection in the model building procedure, overly optimistic performance estimates are avoided. (C) 2017 Elsevier Ltd. All rights reserved

Using tracked mobile sensors to make maps of environmental effects

We present a study the results of a study of environmental carbon monoxide pollution that has uses a set of tracked, mobile pollution sensors. The motivating concept is that we will be able to map pollution and other properties of the real world a fine scale if we can deploy a large set of sensors with members of the general public who would carry them as they go about their normal everyday activities. To prove the viability of this concept we have to demonstrate that data gathered in an ad-hoc manner is reliable enough in order to allow us to build interesting geo-temporal maps. We present a trial using a small number of global positioning system-tracked CO sensors. From analysis of raw GPS logs we find some well-known spatial and temporal properties of CO. Further, by processing the GPS logs we can find fine-grained variations in pollution readings such as when crossing roads. We then discuss the space of possibilities that may be enabled by tracking sensors around the urban environment – both in getting at personal experience of properties of the environment and in making summative maps to predict future conditions. Although we present a study of CO, the techniques will be applicable to other environmental properties such as radio signal strength, noise, weather and so on

Development of a land use regression model for black carbon using mobile monitoring data and its application to pollution-avoiding routing

Black carbon is often used as an indicator for combustion-related air pollution. In urban environments, on-road black carbon concentrations have a large spatial variability, suggesting that the personal exposure of a cyclist to black carbon can heavily depend on the route that is chosen to reach a destination. In this paper, we describe the development of a cyclist routing procedure that minimizes personal exposure to black carbon. Firstly, a land use regression model for predicting black carbon concentrations in an urban environment is developed using mobile monitoring data, collected by cyclists. The optimal model is selected and validated using a spatially stratified cross-validation scheme. The resulting model is integrated in a dedicated routing procedure that minimizes personal exposure to black carbon during cycling. The best model obtains a coefficient of multiple correlation of R = 0.520. Simulations with the black carbon exposure minimizing routing procedure indicate that the inhaled amount of black carbon is reduced by 1.58% on average as compared to the shortest-path route, with extreme cases where a reduction of up to 13.35% is obtained. Moreover, we observed that the average exposure to black carbon and the exposure to local peak concentrations on a route are competing objectives, and propose a parametrized cost function for the routing problem that allows for a gradual transition from routes that minimize average exposure to routes that minimize peak exposure

How would tourists use Green Spaces? Case Studies in Lisbon

EntretextosThis report provides in a relative condensed format the results of small-scale study undertaken in Lisbon during the Meeting of the CyberParks Project (www.cost.eu/COST_Actions/tud/Actions/TU1306). CyberParks is a COST Action coordinated by the Universidade Lusófona at the CeiED - Interdisciplinary Research Centre for Education and Development. The Project aims at creating a research platform on the relationship between Information and Communication Technologies (ICT) and the production of public open spaces, and their relevance to sustainable urban development. The impacts of this relationship are being explored from social, ecological, urban design and technological perspectives. Based on the supposition that the participants of the Meeting are tourists visiting Lisbon, a survey was carried out on the topic how people actually use and how they would use public spaces. This survey is also the first approach to the case study areas chosen in Lisbon: Parque Quinta das Conchas and Jardim da Estrela. Both green spaces will be subject of further studies in the forthcoming years. This study employed (1) a questionnaire for measuring the user’s experience and preferences, and (2) two different tracking devices that utilise GNSS (Global Navigation Satellite Systems), in our case the GPS for satellite positioning technologies. It also presents the results of a study on the relevance of wi-fi in Lisbon’s public spaces. Even considering that the surveys in Lisbon’s green spaces are a first exercise within the work programme of CyberParks they show important outcomes. On the one hand, regarding the technologies used and their potential for research and on the other hand the findings about Lisbon’s green spaces. It should be noted that the conducted surveys and the gathered data are statistically not representative, but can be characterised as an empirical case and as a showcase, as how tourists tend to use a green space. The results shows that surveys benefit from multiple research methods and from combining insights.Este relatório apresenta, em formato condensado, os resultados de um estudo de pequena escala realizado em Lisboa durante o Seminário do Projeto CyberParks. CyberParks é uma Ação COST coordenada pela Universidade Lusófona/CeiED - Centro de Estudos Interdisciplinares em Educação e Desenvolvimento. O projeto visa a criação de uma plataforma de debate sobre a relação entre as Tecnologias de Informação e Comunicação (TIC) e a produção de espaços públicos, e da sua relevância para o desenvolvimento urbano sustentável. Os impactos dessa relação estão a ser explorados a partir de perspetivas sociais, ecológicas, tecnológicas e de desenho urbano. Na sua etapa exploratória, este estudo assenta na suposição de que os participantes do Seminário são turistas de visita a Lisboa. A partir dos dados recolhidos pelos investigadores envolvidos na ação COST, foi realizada uma análise à forma como diferentes indivíduos usam, e como poderão usar, diferentes espaços públicos verdes. Este estudo apresenta, portanto, a primeira abordagem às áreas de estudos selecionadas em Lisboa. São elas o Parque Quinta das Conchas e o Jardim da Estrela. Ambos os espaços verdes serão objeto de novos estudos nos próximos anos. Neste primeiro estudo exploratório foram empregues: (1) um questionário, para aferir a experiência de um potencial utilizador e as suas preferências, e (2) dois dispositivos diferentes de rastreamento que utilizam tecnologia GNSS (Sistemas de Navegação Global por Satélite) e, no nosso caso, o GPS para as tecnologias de posicionamento por satélite. Ele também apresenta os resultados de um estudo realizado sobre a relevância do wi-fi em espaços públicos na cidade de Lisboa. Mesmo considerando que os estudos realizados nos espaços verdes representam um primeiro exercício no âmbito do programa de trabalho do CyberParks em Lisboa, são aqui revelados resultados importantes. Por um lado, o recurso às tecnologias utilizadas e seu potencial para a investigação e, por outro lado, os resultados sobre a vivência dos espaços verdes. Deve-se notar que os dados recolhidos não são estatisticamente representativos, mas evidenciam um caso empírico de como turistas tendem a usar um espaço verde urbano. A combinação do questionário com novos métodos digitais resultou num grande ganho de conhecimento, recobrindo as áreas de estudo sob a perspetiva de um turista, para além de maiores informações sobre as potencialidades e limites da tecnologia digital como ferramenta de investigação. Os resultados mostram que a investigação no campo social pode se beneficiar da combinação de vários métodos e técnicas

PRIMUS/Informed Cities: Making research work for local sustainability

The final report of a three year European Commission FP7 project

Smart green infrastructure in a smart city – the case study of ecosystem services evaluation in Krakow based on i-Tree Evo software

It is a common perception that urban greenery does not bring any rational benefits, while profits from real estates are obvious. Therefore, the cities green infrastructure (urban forests, parks, trees, lawns, meadows, etc.) are constantly threatened with housing and development. However, urban greenery plays a substantial role in improving the quality of urbanites’ life, which is particularly significant in terms of predicted 70% urbanization rate by 2050. Healthy and well managed city green infrastructure can improve air quality, remove particulate matters (PM) and CO2 sequestrate carbon, cool down temperature or protect against winds. These functions of vegetation are known as ecosystem services (ES). Recognizing the value of ES provided by green infrastructure is crucial for urban planning and management in terms of assuring sustainable urban development. In our study we used the i-Tree Eco (USDA Forest Service) software, which quantifies vegetation structure, environmental effects and values of ES. The i-Tree Eco model is based on air pollution and local meteorological data along with the field data from inventory of city vegetation. Requiring easy to collect (e.g. based on LiDAR 3D point clouds) input data and having user-friendly interface, the i-Tree Eco has a potential of becoming a very useful tool for planners and managers in their everyday work. In this paper we present a case study of ES evaluation for the “Krakowski Park” in Krakow (582 trees on 4.77 hectares, with domination of Fraxinus excelsior, Ulmus laevis and Betula pendula). For the analysed 2015 year, the Krakowski Park trees stored in total 441.59 t of carbon, removed 184 kg of air pollutants and contributed to 220 m3 of avoided runoff. Total value of ecosystem services provided by the Krakowski Park in year 2015 was EUR 5.096 (EUR 8.76 tree/year). In our further work we intend to expand the ES evaluation on other green areas in Krakow and on a wider range of ES