Sustainability assessment of water management at river basin level: Concept, methodology and application.

A practical approach for understanding and monitoring the sustainability of a river basin as a complex socio-hydrological system is to co-develop an indicator-based assessment framework with the help of the major stakeholders. This study defines the concept of Sustainability Assessment (SA) in the context of water management at basin level. A step-by-step methodology is proposed and further applied for developing indicator-based SA framework in the complex and overexploited Mashhad Basin in Iran. The methodology is based on a participatory approach that includes forming an expert panel of basin stakeholders, co-creating goals and objectives, identifying and screening indicators, and shaping the final SA framework. We identify 332 potential indicators from existing literature. Using selection criteria and two-round of fuzzy Delphi method, we adapt 25 fit-for-purpose indicators relevant to sustainable water management in Mashhad Basin. Subsequently, a SA framework is developed by categorizing final indicators into four main components (Technical, Environmental, Economic and Social) and ten subcomponents to provide better links and insights of the basin water management practices between different groups of stakeholders. Finally, using a weighting scheme through the Analytical Hierarchy Process (AHP), a sustainability index is constructed by aggregating the indicators. The results indicate that Mashhad Basin is in a critical unsustainable condition with a sustainability index at 0.34 out of 1. Analysis of the relative importance of the adapted indicators shows that the top-four ranked indicators (including water productivity, access to safe drinking water, renewable groundwater dependency and water pollution) have almost 40% contribution to the basin sustainability index. Such indicator-based SA framework can support identification and analysis of major sustainability trade-offs. Additionally, it can provide an effective tool for achieving water-related targets of the Sustainable Development Goals (SDGs). We therefore highly encourage further development of indicator-based SA frameworks in the context of water management at basin level.

Analysing the value of environmental citizen-generated data: Complementarity and cost per observation.

The proliferation of Citizen Science initiatives has increased the expectations of practitioners who need data for design, analysis, management and research in environmental applications. Many Citizen Science experiences have reported tangible societal benefits related to improved governance of natural resources due to the involvement of citizens and communities. However, from the perspective of data generation, most of the literature on Citizen Science tends to regard it as a potentially cost-effective source of data, with major concerns about the quality of data. The Ground Truth 2.0 project brought the opportunity to examine the scope of this potential by analysing the value of citizen-generated data. We propose a methodology to account for the value of citizen observations as a function of their complementarity to existing environmental observations and the evolution of their costs in time. The application of the proposed methodology in the chosen case studies that were all established using a co-design approach shows that the cost of obtaining Citizen Science data is not as low as frequently stated in literature. This is because the costs associated with co-design events for creating a Citizen Science community, as well as the functional and technical design of the tools, are much higher than the costs of rolling out the actual observation campaigns. In none of the considered cases did an increment in the number of preparatory events translate into an immediate increase in the collected observations. Nevertheless, Citizen Science appears to have the greatest value in places where in-situ environmental monitoring is not implemented.

Capturing and communicating impact of citizen science for policy: A storytelling approach.

In response to the need for approaches to understand how citizen science is currently influencing environmental policy and associated decision making, we devised the Citizen Science Impact StoryTelling Approach (CSISTA). We iteratively designed instruments to be used as tools primarily for citizen science practitioners seeking to understand or communicate policy impacts. We then trialled the CSISTA and associated instruments on four exemplary citizen science initiatives, using different forms of inquiry and collaboration with respective initiative leaders. In this paper, we present CSISTA, with details of the steps for implementing inquiry and storytelling instruments. Additionally, we reflect on insights gained and challenges encountered implementing the approach. Overall, we found the versatility and structure of CSISTA as a process with multiple guiding instruments useful. We envision the approach being helpful, particularly with regards to: 1) gaining an understanding of a citizen science initiative's policy and decision-making impacts; 2) creating short policy impact stories to communicate such impacts to broader audiences; or 3) fulfilling both goals to understand and communicate policy impacts with a unified approach. We encourage others to explore, adapt, and improve the approach. Additionally, we hope that explorations of CSISTA will foster broader discussions on how to understand and strengthen interactions between citizen science practitioners, policy makers, and decision makers at large, whether at local, national, or international scales.

Towards benchmarking citizen observatories: Features and functioning of online amateur weather networks.

Crowd-sourced environmental observations are increasingly being considered as having the potential to enhance the spatial and temporal resolution of current data streams from terrestrial and areal sensors. The rapid diffusion of ICTs during the past decades has facilitated the process of data collection and sharing by the general public and has resulted in the formation of various online environmental citizen observatory networks. Online amateur weather networks are a particular example of such ICT-mediated observatories that are rooted in one of the oldest and most widely practiced citizen science activities, namely amateur weather observation. The objective of this paper is to introduce a conceptual framework that enables a systematic review of the features and functioning of these expanding networks. This is done by considering distinct dimensions, namely the geographic scope and types of participants, the network's establishment mechanism, revenue stream(s), existing communication paradigm, efforts required by data sharers, support offered by platform providers, and issues such as data accessibility, availability and quality. An in-depth understanding of these dimensions helps to analyze various dynamics such as interactions between different stakeholders, motivations to run the networks, and their sustainability. This framework is then utilized to perform a critical review of six existing online amateur weather networks based on publicly available data. The main findings of this analysis suggest that: (1) there are several key stakeholders such as emergency services and local authorities that are not (yet) engaged in these networks; (2) the revenue stream(s) of online amateur weather networks is one of the least discussed but arguably most important dimensions that is crucial for the sustainability of these networks; and (3) all of the networks included in this study have one or more explicit modes of bi-directional communication, however, this is limited to feedback mechanisms that are mainly designed to educate the data sharers.