Data for: Social-ecological assessment of Lake Manyara basin, Tanzania: a mixed method approach

The social-ecological system of the Lake Manyara basin (Northern Tanzania), a UNESCO Biosphere reserve (BR) suffers from socio-economic and environmental problems due to decreasing water levels, erosion and land and water use conflicts. An integrated assessment of the social-ecological interactions of the area is required to support future sustainable management. Within the Drivers-Pressures-State-Impact-Response (DPSIR) framework an integrated literature review and several methods of knowledge collection were combined to identify future management priorities and challenges. Annex 1 provides original fragments of information found in the selected literature, and coded as COD1, both for problems and causes of problems and for solutions. Focus groups with farmers and pastoralists collected a comprehensive set of statements about the situation. Annex 2 provides maps drawn by members of the authorities, the scientists, the pastoralists and the smallholder farmers in a community mapping exercise. Annex 3 provides a list of the 26 ecosystem services assessed by the participants during Focus Group 2. Annex 4 provides the questions used in the key informants interviews. Annex 5 provides the initial codes (letters) and corresponding merged codes (numbers) from key informants interviews. Annex 6 provides benchmarking results from the literature review and key-informants interviews

Database: Tidal Marsh Soil Organic Carbon (MarSOC) Dataset

The repository is formatted in the following structure: - README.md: markdown file with repository description - MarSOC-Dataset.Rproj: R project file - useful when using RStudio - Maxwell_MarSOC_dataset.csv: .csv file containing the final dataset. The data structure is described in the metadata file. It contains 17,454 records distributed amongst 29 countries. - Maxwell_MarSOC_dataset_metadata.csv: .csv file containing the main data file metadata (equivalent to Table 1). - data_paper/: folder containing the list of studies included in the dataset, as well as figures for this data paper (generated from the following R script: ‘reports/04_data_process/scripts/04_data-paper_data_clean.R’). - reports/01_litsearchr/: folder containing .bib files with references from the original naive search, a .Rmd document describing the litsearchr analysis using nodes to go from the naive search to the final search string, and the .bib files from this final search, which were then imported into sysrev for abstract screening. - reports/02_sysrev/: folder with .csv files exported from sysrev after abstract screening. These files contain the included studies with their various labels. - reports/03_data_format/: folder containing all original data, associated scripts, and exported data. - reports/04_data_process/: folder containing data processing scripts to bind and clean the exported data, as well as a script testing the different models for predicting soil organic carbon from organic matter and finalising the equation using all available data. A script testing and removing outliers is also included