This file was generated on 2025-01-10 by Heike Baumüller A GENERAL INFORMATION 1. Title of the dataset: Dataset on Costs and Benefits of Agroforestry in Africa 2. Brief description of the research project and its aims: The Center for Development Research (ZEF) of the University of Bonn, Germany, and the Centre de Suivi Écologique in Senegal have compiled a dataset to capture the economic value of ecosystem services generated by agroforestry systems in Africa. This dataset represents the first extensive compilation of costs and benefits of agroforestry systems in Africa and contributes to close the information gap of economic profitability of this practice. 3. Author Information A. Investigator Contact Information Name: Alisher Mirzabaev Institution: International Rice Research Institute Address: Pili Drive, Los Baños, Laguna 4031, The Philippines Email: a.mirzabaev@irri.org B. Investigator Contact Information Name: Paula Rothenberger Institution: Unique Land Use Address: Schnewlinstrasse 10, 79098 Freiburg, Germany Email: paula.rothenberger@unique-landuse.de C. Investigator Contact Information Name: Abdoul Aziz Diouf Institution: Centre de Suivi Écologique (CSE) Address: Rue Leon Gontran Damas, Dakar BP 15532, Senegal Email: aziz.diouf@cse.sn D. Investigator Contact Information Name: Heike Baumüller Institution: Center for Development Research (ZEF) Address: Genscherallee 3, D-53113, Bonn, Germany Email: hbaumueller@uni-bonn.de E. Investigator Contact Information Name: Cheikh Mbow Institution: Centre de Suivi Écologique (CSE) Address: Rue Leon Gontran Damas, Dakar BP 15532, Senegal Email: mbow@cse.sn F. Investigator Contact Information Name: Joachim von Braun Institution: Center for Development Research (ZEF) Address: Genscherallee 3, D-53113, Bonn, Germany Email: jvonbraun@uni-bonn.de G. In case of questions related to this dataset, please contact: Name: Alisher Mirzabaev Institution: International Rice Research Institute Address: Pili Drive, Los Baños, Laguna 4031, The Philippines Email: a.mirzabaev@irri.org 4. Date of data collection: 2020 to 2023 5. Information about funding sources that supported the collection of the data: This work was supported by the Program of Accompanying Research for Agricultural Innovation (PARI), which is funded by the German Federal Ministry of Economic Cooperation and Development (BMZ) (Project No. 2014.0690.9). 6. Language of the dataset: English 7. Geographic location of data collection: Senegal, Kenya B DATA & FILE OVERVIEW 1. File List: One Excel file "Costs and benefits of agroforestry in Africa.xlsx" containing a dataset that capture the economic value of ecosystem services generated by agroforestry systems in Africa. 2. Are there multiple versions of the dataset? No 3. Relationship between files: N/A 4. Additional related data collected that was not included in the current data package: N/A C SHARING/ACCESS INFORMATION 1. Was data derived from another source?: Yes. The dataset is based on a systematic literature review as well as focus group discussions conducted in Kenya and Senegal. 2. Licenses/restrictions placed on the data: This dataset is available under the Creative Commons CC-0 license: https://creativecommons.org/publicdomain/zero/1.0/ 3. Links to publications that cite or use the data: N/A 4. Links to other publicly accessible locations of the datas: N/A 5. Links/relationships to ancillary datasets: N/A D METHODOLOGICAL INFORMATION 1. Description of methods used for collection/generation of data: The Systematic Literature Review (SLR) followed a defined review protocol with predetermined selection criteria. The review was carried out using the Scopus database. To include grey literature, a second review was conducted with Google. The publication period for both Scopus and Google search was set to 2000-2022. Additional economic data from the WOCAT SLM database (https://qcat.wocat.net/en/wocat/) was included to expand the findings. Only publications in English were considered. Focus group discussions (FGD), conducted by the Centre de Suivi Écologique (CSE) and International Centre of Insect Physiology and Ecology (ICIPE) in Senegal and Kenya in 2022, added further 102 supplementary value sources. In total, the 209 sources delivered 490 data points providing monetary information on costs and benefits of agroforestry systems in various locations in Africa. 2. Methods for processing the data: Data provided in the literature was presented in different currencies and expressed at different times, hence, a harmonization of values had to be carried out. For this purpose, two approaches can be considered. First, values will be transformed into USD and following accounting for inflation will be based on USD inflation rates. Second, inflation accounting will be performed on the local currency to bring all values to the same year and subsequently values will be converted to USD. Since most of the values recorded remain in the regional market, such as e.g., crops and timber, or are non-tradable goods like labour, the second approach was chosen. For this purpose, the World Bank's inflation and GDP deflator indicator for each country was used. Local currencies value in 2020 was then converted to USD using average exchange rates for 2020. Data harmonization resulted in all values being expressed in USD 2020. 3. Instrument- and/or software-specific information needed to interpret the data: N/A 4. People involved in sample collection, processing, analysis and/or submission: Alisher Mirzabaev, Paula Rothenberger, Abdoul Aziz Diouf, Heike Baumüller, Cheikh Mbow, Joachim von Braun 5. Describe any quality-assurance procedures performed on the data: The data were independently reviewed by two researchers. 6. Standards and calibration information: N/A 7. Environmental/experimental conditions: N/A E DATA-SPECIFIC INFORMATION FOR: "Costs and benefits of agroforestry in Africa.xlsx" 1. Variable list including full names and definitions (please spell out abbreviated words) of column headings for tabular data: Variable, Description Country, Country refyear, Year in that data is expressed in the original source inflationdef, Inflation deflation rate exrate, exchange rate totalusd2020, total costs in USD 2020 establishcost2020usd, Establishment costs in USD 2020 maincosts2020usd, Miantenance costs in USD 2020 benefitsusd2020, Benefits in USD 2020 EcC_seedlings, Costs for seedlings EcC_saplings, Costs for saplings EcC_seeds, Costs for seeds EcC_harvest, Costs for harvesting EcC_maint_plant, Costs for plant maintenance EcC_production, Costs for production EcC_inputs_max, Maximum costs for inputs EcC_Transplanting, Costs for transplanting EcC_labour_max, Maximum costs for labour EcC_maint_labour, Costs for maintenance labour EcC_fertilizer, Costs for fertilizer EcC_maint_fertilizer, Maintenance costs for fertillizer EcC_land, Costs for land EcC_agrochemicals, Costs for agrochemicals EcC_pest_contr, Costs for pest control EcC_packaging, Costs for packaging EcC_equipment, Costs for equipment EcC_maint_equipment, Maintenance costs for equipment EcC_construction, Costs for construction EcC_maint_construction, Maintenance costs for construction EcC_pest_contr_maintenance, Maintenance costs for pest control EcC_Transport, Costs for transport EcC_other, Other costs (not specified) EcC_maint_other, Other maintenance costs (not specified) costsestablish, Establishment costs expressed in curreny used in original source costsmainte, Maintenance costs expressed in curreny used in original source EcC_total_max, Total costs expressed in currency used in original source EcB_income_max, Benefits in income EcB_total_max, Total benefits expressed in curreny used in original source EcB_yieldcrops, Benefits from yield and crops EcB_livestock, Benefits from livestock EcB_sap_production, Benefits from sapling production EcB_tree, Benefits from trees; not further specified in original source. Can be income, sale or consumption of tree products, etc. EcB_AFTPSNTFP_sale_max, Maximum benefits from sale of agroforestry tree products and non timber forest products EcB_wood, Benefits from wood, timber EcB_charcoal, Benefits from charcoal EcB_fruit, Benefits from tree fruits EcB_fodder, Benefits from fodder generation EcB_org_matter, Benefits from production of organic matter EcB_tree_sale, Benefits from sale of whole trees (timber) EcB_sapling_sale, Benefits from sale of saplings EcB_food_max, Benefits from food generation EcB_tools, Benefits from generation of tools out of trees EcB_pest_control, Benefits from pest control function of agroforestry systems EcB_carbon_sequ_max, Benefits from carbon sequestration from agroforestry systems EcB_CO2_equiv_biomass_max, Benefits of CO2 equivalent of the rate of biomass carbon accumulation EcB_climate_regulation, Benefits from climate regulation function of agroforestry systems EcB_disturbance_regul, Benefits from disturbance regulation function of agroforestry systems EcB_water_regul, Benefits from water regulation function of agroforestry systems EcB_water_treatment, Benefits from water treatment function of agroforestry systems EcB_water_supply, Benefits from water supply function of agroforestry systems EcB_Erosion_control, Benefits from erosion control function of agroforestry systems EcB_Soil_formation, Benefits from soil formation function of agroforestry systems EcB_nutrient_cycling, Benefits from improved nutrient cycling due tree component in agroforestry system EcB_raw_materials, Benefits from provisioning of raw materials EcB_genetic_resources, Benefits from provisioning/conserving of genetic resources by reducing extinction and crop genetic resource loss EcB_medical, Benefits from providing natural medicines EcB_recreation, Benefits from recreation potential from agroforestry systems EcB_aesthetics, Benefits from aesthetics of agroforestry systems EcB_cultural, Benefits from cultural value EcB_Gas_regulation, Benefits from regulation of gases EcB_air_regulation, Benefits from air purification function of agroforestry systems EcB_Pollination, Benefits from supporting service of pollination EcB_habitat_refugia, Benefits from provisoning of habitat EcB_bushmeat, Benefits from bushmeat EcB_Employment_tax_income, Benefits occurring from employment and tax income EcB_other, Other benefits (not specified) costs_saved, Saved costs in pest control due to implementation of agroforestry systems. reference_value, Reference value describes detail about time of data expression or currency comment, comment remark, Shows from which year the values are, if the original source has observed an agroforestry system over several years Agrofor_practice, Agroforestry practice analysed in source Type, cropped, pastoral or mixed system Source, Source Location, Specific location (village, region, state, etc.) Coordinates, Coordinates Unique_location, Detail about uniqueness of location tree_species, tree species non_tree_species, non tree species (mostly crops) sapling_surv_rates, sapling survival rates shade_index, shade index based on eight variables: number of trees, number of tree species, tree density, number of herbs, number of herb species, average tree height, percent shade cover, and percent herb cover. 0= least diverse shade; 1= most diverse shade. tree_density, Tree density spacing_btw_trees, Spacing between trees 2. Units of measurement used: N/A 3. Missing data codes/symbols: N/A 4. Specialized formats or other abbreviations used: N/A