Environmental Science and Policy

R scripts for afforested land selection under the different scenarios, statistical analysis and the input data file.

Data from the CCAFS survey used in this study.

From June to November 2016 the HOPE-Team interviewed 309 households in four cities: Communauté-de-Pays-d’Aix (France), Mannheim (Germany), Bergen (Norway), and Umeå (Sweden). The households were asked to rate individual climate change mitigation actions in four sectors of CO2e-emissions: Food & Recycling, Housing, Mobility and Other Consumption. The climate change mitigation actions were presented on action cards. These action-cards described the mitigation actions and contained three additional pieces of information. First, it informed the household how much CO2 equivalents in kilogram per year the household could save, when implementing the measure. Second, it informed the household how much money in Euro/ Krona per months the household would save or spent, when implementing the measure. Third, half of the households received information on what effect the mitigation measure would have on the households’ health. The CO2e-savings and the financial costs or savings were calculated for each household individually. This was possible, because households had filled in a detailed questionnaire about their consumption habits, income and expenditure online, before they were visited by interviewers, who presented them with the action cards (Herrmann et al. 2017: 5). The online questionnaire was used to individualize the action cards and calculate the household’s carbon footprint before the interview. Full describtion can be found at Herrmann et al. 2017.

The data resulted from two small scale projects which took place at two schools in Ethiopia – in Adama and Sendafa, cities in the Oromia region. Constructed wetland for treating handwashing wastewater was constructed in a school in Adama, as part of a school WaSH improvement project (also new school latrines were constructed, and existing ones were renovated). The developed games “Clean and Green School” and “Water Go!” were designed around this intervention: latrines, handwashing facilities and constructed wetlands. The idea behind the games was developing educational instruments that would promote water recycling, handwashing activity and water reuse for toilet flushing and irrigation; to school students and school staff in an engaging way. By doing so, games can be played over and over again, so the students can be trained together with teachers and school staff involved in the operation and maintenance of the system (school guards and cleaning staff). Instead of delivering one time trainings, the idea was to incorporate innovative educational instruments (games) in school WaSH clubs curriculum. For the purpose of the second project – educational games around the F-diagram were developed and tested in a school in Sendafa (game WaSH quartet) and at both schools in Sendafa and Adama (Fly Over game). The sample sizes for the last testing session at locations, as reported in the manuscript are: Clean and Green School (n=8, Adama); Water Go! (n=6, Adama); WaSH Quartet (n=10, Sendafa); Fly Over (n=14, Sendafa and Adama). Though the number of students and school staff participating in evaluation was small, we could use it to observe dynamics, identify bottle necks and draw meaningful conclusions. However we do hope to scale the approach and conduct testing on more schools and children, obtaining statistically relevant results.

This research data presents the outline of the CECA Index analytical framework. It includes the specific scoring scales defined for every indicator to quantify the performance of the city at that particular AQM feature.

Articles were acquired through the following search engines: Scientific Citation Index (SCI) database, ISI Web of Science and Google Scholar. These search engines were used because they have been known to provide easy access to the primary literature on climate change adaptation or ‘’…ensure a wide coverage of adaptation actions….’’ (Ford et al. 2014). We used the following search terms: global climate change adaptation, climate change adaptation in Africa, climate change adaptations/coping actions in the Sahel and searches based on the specific country names. In the case of climate change adaptation, a total of 317 possibly relevant publications were selected from the initial search. However, duplicates were deleted after importing the articles into EndNote and a total of 250 papers were retained. A visual inspection of the titles of the remaining articles resulted in removal of more irrelevant papers. The abstracts of the remaining 111 papers were read in relation to the inclusion criteria. From this, 81 papers were retained for full review and during the full review process, 11 papers that were found not to meet the inclusion criteria were deleted. Seventy articles were retained for full analysis.

This dataset builds on the Correlates of War V2.3 International Governmental Organizations Data (Pevehouse al., 2004) and the dataset put together by Blake and Payton (2015). References: Pevehouse, Jon C., Nordstrom, T., Warnke, K., 2004. The COW-2 International Organizations Dataset Version 2.0. Conflict Management and Peace Science 21(2), 101-119. DOI: 10.1080/07388940490463933 Blake, D. J., Payton, A. L., 2015. Balancing design objectives: analyzing new data on voting rules in intergovernmental organizations. The Review of International Organizations, 10(3), 377-402. http://dx.doi.org/10.1007/s11558-014-9201-9

An assessment of 54 National Adaptation Plans or Strategies, based on criteria developed from Article 7 of the Paris Agreement. The scoring system was based on Preston et al. (2011) and was used to develop specific qualitative scoring for each criteria (see Table S1 for more detail). The spreadsheet contains a sheet for each plan and the score for each criteria, with evidence provided for each score (e.g., quotations from plans, description of elements included/excluded.

This support section Part A. includes an Excel sheet with the key datasets assessed in this research and their characteristics. The datasets consist of data related to forest area and area change; forest biomass and emission factors; and AFOLU GHG emissions.

Questionnaire used to assess the strengths and weaknesses of SCOPIS.