Data Sovereignty in Community-Based Environmental Monitoring : Toward Equitable Environmental Data Governance

Non peer reviewe

Protocol for the Collection of Cross-cultural Comparative Data on Local Indicators of Climate Change Impacts

Unidad de excelencia María de Maeztu CEX2019-000940-MThis protocol has been designed to collect local perceptions of climate change impacts on climatic (e.g. rainfall patterns change), physical (e.g., shrinking glaciers), biological (e.g., phenological changes), and socioeconomic systems (e.g., crop failure due to rainfall patterns change), but also adaptations to those impacts, local agricultural calendars and local narratives to allow the reconstruction of historical and relevant events using a combination of quantitative and qualitative methodologies

A collaborative approach to bring insights from local observations of climate change impacts into global climate change research

Bringing insights from Indigenous and local knowledge into climate change research requires addressing the transferability, integration, and scalability of this knowledge. Using a review of research on place-based observations of climate change impacts, we explore ways to address these challenges. Our search mostly captured scientist-led qualitative research, which - while facilitating place-based knowledge transferability to global research - did not include locally led efforts documenting climate change impacts. We classified and organized qualitative multi-site place-based information into a hierarchical system that fosters dialogue with global research, providing an enriched picture of climate change impacts on local social-ecological systems. A network coordinating the scalability of place-based research on climate change impacts is needed to bring Indigenous and local knowledge into global research and policy agendas.Peer reviewe

Quantification of uncertainty associated with each scenario across multiple dimensions, Deliverable 2.3, SEEDS Project

The SEEDS project aims to address the disconnection between the modelling of pathways for the energy transition and stakeholder participation which is informed about the consequences of those pathways. It uses a PNS approach as it includes a human-computer loop to integrate in the assessment multiple points of view and values (expert and non-expert) and acknowledges the uncertainty of the modelling workflows. In this report, we introduce the assessment of uncertainty, whose results will complement the energy and socio-ecological modeling results in the webapp. As proposed by Funtowicz & Ravetz (1994) and Saltelli (2019), we questioned to what extent, if any, our models are fit to represent the real world. Some tools can be used to make models more transparent and undercover unspoken beliefs underlying a model. In the methods section, we explain their characteristics. Afterwards, we apply them to each of the steps of the human-computer loop

Local indicators of climate change impacts described by indigenous peoples and local communities : Study protocol

Unidad de excelencia María de Maeztu CEX2019-000940-MIntroduction In the quest to improve the understanding of climate change impacts on elements of the atmospheric, physical, and life systems, scientists are challenged by the scarcity and uneven distribution of grounded data. Through their long history of interaction with the environment, Indigenous Peoples and local communities have developed complex knowledge systems that allow them to detect impacts of climate change in the local environment. The study protocol presented here is designed 1) to inventory climate change impacts on the atmospheric, physical, and life systems based on local knowledge and 2) to test hypotheses on the global spatial, socioeconomic, and demographic distribution of reported impacts. The protocol has been developed within the framework of a project aiming to bring insights from Indigenous and local knowledge systems to climate research (https://licci.eu). Methods Data collection uses a mixed-method approach and relies on the collaboration of a team of 50 trained partners working in sites where people's livelihood directly depend on nature. The data collection protocol consists of two steps. Step 1 includes the collection of secondary data (e.g., spatial and meteorological data) and site contextual information (e.g., village infrastructure, services). Step 1 also includes the use of 1) semi-structured interviews (n = 20-30/site) to document observations of environmental change and their drivers and 2) focus group discussions to identify consensus in the information gathered. Step 2 consist in the application of a household (n from 75 to 125) and individual survey (n from 125 to 175) using a standardized but locally adapted instrument. The survey includes information on 1) individual and household socio-demographic characteristics, 2) direct dependence on nature, 3) household's vulnerability, and 4) individual perceptions of climate change impacts. Survey data are entered in a specifically designed database. Expected results This protocol allows the systematic documentation and analysis of the patterned distribution of local indicators of climate change impacts across climate types and livelihood activities. Data collected with this protocol helps fill important gaps on local climate change impacts research and can provide tangible outcomes for local people who will be able to better reflect on how climate change impacts them

A collaborative approach to bring insights from local observations of climate change impacts into global climate change research

Unidad de excelencia María de Maeztu MdM-2015-0552Digital object identifier for the 'European Research Council' (http://dx.doi.org/10.13039/501100000781) ; Digital object identifier for 'Horizon 2020' (http://dx.doi.org/10.13039/501100007601)Bringing insights from Indigenous and local knowledge into climate change research requires addressing the transferability, integration, and scalability of this knowledge. Using a review of research on place-based observations of climate change impacts, we explore ways to address these challenges. Our search mostly captured scientist-led qualitative research, which - while facilitating place-based knowledge transferability to global research - did not include locally led efforts documenting climate change impacts. We classified and organized qualitative multi-site place-based information into a hierarchical system that fosters dialogue with global research, providing an enriched picture of climate change impacts on local social-ecological systems. A network coordinating the scalability of place-based research on climate change impacts is needed to bring Indigenous and local knowledge into global research and policy agendas