Rajasthan Focus Group Discussions Data: Dataset

A series of focus group discussions (FGDs) to elicit the local knowledge about the agricultural and wild biodiversity present in the study areas in order to generate: (a) an inventory (list) of all useful plant, and animal species used by local communities for human food and their local names; (b) an inventory of all foods consumed; (c) an inventory of markets that people in the village attend. "In each of the eight villages, one focus group discussion was held, but including both men and women participants. Each group will deal with the three aspects for discussion: Useful biological diversity in the production system; Market diversity; and Dietary diversity. There were between 10-16 participants in each group. Each group tried to include a cross-section of individuals involved in agricultural production or at least collecting useful plants from common lands and the wild, representing different levels of access to land (land owners, local land renters and migrant land renters), different ethnic groups present in the village and different age groups (special emphasis should be placed to include younger farmers). For each group there were two facilitators, one to guide the exercise and the other to document the process (take notes, photographs, etc.). The data were elicited using the four-square methodology explained in the Protocol document." Eight villages of three districts were surveyed: (Balmer, Jaisalmer and Jodhpur) in the State of Rajasthan: Damodara (26°54′,70°43′); Deda (26°94′,70°43′); Dedhu, (27°20′, 71°45′); Dhirasar (25°27′, 71°11′); Dhok (25°29′, 71°01′); Govindupura (26°49′, 73°05′); Mansagar (26°45′, 73°08′); Meghwalo Ki Dhani (27.3711° N, 72.2334° E, this village was not part of the household survey)

Ghana Focus Group Discussions Data: Dataset

A series of focus group discussions (FGDs) to elicit the local knowledge about the agricultural and wild biodiversity present in the study areas in order to generate: (a) an inventory (list) of all useful plant, and animal species used by local communities for human food, animal feed, medicine, fuel, housing, farming tools, etc. and their local names; (b) an inventory of all foods consumed; (c) an inventory of species and products bought and sold in markets that people in the village attend. Two FGDs per village in three villages. FGDs were held separately for men and women in order to collect gender disaggregated data. Geographic area includes: Three villages in the Lawra District of Ghana: Bonpari (Lat 10.67, Lon W002.81); Gbelinkaa (Lat N10.58, Lon W002.83); Yagtuur (Lat N10.55, Lon W 002.86) In each of the three villages, two focus group discussions were held separately. One with men and the other with women. Each group will deal with the three aspects for discussion: Useful biological diversity in the production system; Market diversity; and Dietary diversity. There were between 10-16 participants in each group. Each group tried to include a cross-section of individuals involved in agricultural production or at least collecting useful plants from common lands and the wild, representing different levels of access to land (land owners, local land renters and migrant land renters), different ethnic groups present in the village and different age groups (special emphasis should be placed to include younger farmers). For each group there were two facilitators, one to guide the exercise and the other to document the process (take notes, photographs, etc.). The data were elicited using the four-square methodology explained in the Protocol document

Niger Focus Group Discussion Data: Dataset

A series of focus group discussions (FGDs) to elicit the local knowledge about the agricultural and wild biodiversity present in the study areas in order to generate: (a) an inventory (list) of all useful plant, and animal species used by local communities for human food, animal feed, medicine, fuel, housing, farming tools, etc. and their local names; (b) an inventory of all foods consumed; (c) an inventory of species and products bought and sold in markets that people in the village attend. Two FGDs per village in three villages. FGDs were held separately for men and women in order to collect gender disaggregated data. In each of the three villages, two focus group discussions were held separately. One with men and the other with women. Each group will deal with the three aspects for discussion: Useful biological diversity in the production system; Market diversity; and Dietary diversity. There were between 10-16 participants in each group. Each group tried to include a cross-section of individuals involved in agricultural production or at least collecting useful plants from common lands and the wild, representing different levels of access to land (land owners, local land renters and migrant land renters), different ethnic groups present in the village and different age groups (special emphasis should be placed to include younger farmers). For each group there were two facilitators, one to guide the exercise and the other to document the process (take notes, photographs, etc.). The data were elicited using the four-cell analysis methodology explained in the Protocol document

Mali Focus Group Discussions Data: Dataset

A series of focus group discussions (FGDs) to elicit the local knowledge about the agricultural and wild biodiversity present in the study areas in order to generate: (a) an inventory (list) of all useful plant, and animal species used by local communities for human food, animal feed, medicine, fuel, housing, farming tools, etc. and their local names; (b) an inventory of all foods consumed; (c) an inventory of species and products bought and sold in markets that people in the village attend. Two FGDs per village in three villages. FGDs were held separately for men and women in order to collect gender disaggregated data In each of the three villages, two focus group discussions were held separately. One with men and the other with women. Each group will deal with the three aspects for discussion: Useful biological diversity in the production system; Market diversity; and Dietary diversity. There were between 10-16 participants in each group. Each group tried to include a cross-section of individuals involved in agricultural production or at least collecting useful plants from common lands and the wild, representing different levels of access to land (land owners, local land renters and migrant land renters), different ethnic groups present in the village and different age groups (special emphasis should be placed to include younger farmers). For each group there were two facilitators, one to guide the exercise and the other to document the process (take notes, photographs, etc.). The data were elicited using the four-square methodology explained in the Protocol document. The three villages survey were in the Sikasso District of Mali: Fakoro (Lat 12°13074, Lon 005°20156); Kani (Lat 12°15011, Lon 005°10827); N’goutjina (Lat 12°17961, Lon 005°28372)

Karnataka Household Surveys for Agricultural Biodiversity Assessment: Dataset

To identify and quantify the number of all plant and animal species (domesticated and wild) at the household-level that are: (a) grown on farm and home garden, or collected from the wild; (b) consumed as part of the diet; and (c) purchased and sold in the study sites. Information was collected for each species on its place of production or collection (farm, home garden, collected in the wild, etc.), the objective for its production or collection (Self-consumption, sale in the market, both), its different uses (food, medicine, animal feed, building material, processing, etc.), seasonality, the number of types, varieties and breeds recognized and used, key characteristics of its seed system (sources of seed, transactions and social relationships), and the water regime associated with its production (rainfed, irrigated, water harvest, etc.). Also data on assets and other socioeconomic indicators were collected. A household survey was carried out with a representative random sample of aproximately 67 households per village in three villages in the district of Bijapur District: Mannur, Nandyal, Balaganur. The total sample size is 200 households. Three villages in the Bijapur District: Mannur, Nandyal, Balaganur were surveyed

Mali Household Surveys for Agricultural Biodiversity Assessment: Dataset

To identify and quantify the number of all plant and animal species (domesticated and wild) and within each species, the number of types/varieties/breeds at the household-level that are: (a) grown on farm and home garden, or collected from the wild; (b) consumed as part of the diet; and (c) purchased and sold in the study sites. Information was collected for each species on its place of production or collection (farm, home garden, collected in the wild, etc.), the objective for its production or collection (Self-consumption, sale in the market, both), its different uses (food, medicine, animal feed, building material, processing, etc.), seasonality, the number of types, varieties and breeds recognized and used, key characteristics of its seed system (sources of seed, transactions and social relationships), and the water regime associated with its production (rainfed, irrigated, water harvest, etc.). Also data on assets and other socioeconomic indicators were collected. A household survey was carried out with a representative random sample of 60 households per village in three villages in the region of Sikasso in Mali (part of the Wa, Bobo and Sikasso transect where the CRP Dryland System is working in West Africa). Two of the villages (Fakoro and Kani) were also part of overall baseline survey conducted by ICRISAT. A third village, N’goutjina, was added by Bioversity. The total sample size is 180 households. The three villages in the Sikasso District of Mali: were: Fakoro (Lat 12°13074, Lon 005°20156); Kani (Lat 12°15011, Lon 005°10827); N’goutjina (Lat 12°17961, Lon 005°28372)

Rajasthan Household Surveys for Agricultural Biodiversity Assessment: Dataset

To identify and quantify the number of all plant and animal species (domesticated and wild) at the household-level that are: (a) grown on farm and home garden, or collected from the wild; (b) consumed as part of the diet; and (c) purchased and sold in the study sites. Information was collected for each species on its place of production or collection (farm, home garden, collected in the wild, etc.), the objective for its production or collection (Self-consumption, sale in the market, both), its different uses (food, medicine, animal feed, building material, processing, etc.), seasonality, the number of types, varieties and breeds recognized and used, key characteristics of its seed system (sources of seed, transactions and social relationships), and the water regime associated with its production (rainfed, irrigated, water harvest, etc.). Also data on assets and other socioeconomic indicators were collected. A household survey was carried out with a representative random sample of 30 households per village in eight villages of three districts (Balmer, Jaisalmer and Jodhpur) in the State of Rajasthan: Damodara (26°54′,70°43′); Deda (26°94′,70°43′); Dedhu, (27°20′, 71°45′); Dhirasar (25°27′, 71°11′); Dhok (25°29′, 71°01′); Govindupura (26°49′, 73°05′); Mansagar (26°45′, 73°08′); Sankadiya (27°29′,71°41′). The total sample size is 240 households

CELL5M: A Multidisciplinary Geospatial Database for Africa South of the Sahara

Spatially-explicit data is increasingly becoming available across disciplines, yet they are often limited to a specific domain. In order to use such datasets in a coherent analysis, such as to decide where to target specific types of agricultural investment, there should be an effort to make such datasets harmonized and interoperable. For Africa South of the Sahara (SSA) region, the HarvestChoice CELL5M Database was developed in this spirit of moving multidisciplinary data into one harmonized, geospatial database. The database includes over 750 biophysical and socio-economic indicators, many of which can be easily expanded to global scale. The CELL5M database provides a platform for cross-cutting spatial analyses and fine-grain visualization of the mix of farming systems and populations across SSA. It was created as the central core to support a decision-making platform that would enable development practitioners and researchers to explore multi-faceted spatial relationships at the nexus of poverty, health and nutrition, farming systems, innovation, and environment. The database is a matrix populated by over 350,000 grid cells covering SSA at five arc-minute spatial resolution. Users of the database, including those conduct researches on agricultural policy, research, and development issues, can also easily overlay their own indicators. Numerical aggregation of the gridded data by specific geographical domains, either at subnational level or across country borders for more regional analysis, is also readily possible without needing to use any specific GIS software. See the HCID database (http://dx.doi.org/10.7910/DVN/MZLXVQ) for the geometry of each grid cell. The database also provides standard-compliant data API that currently powers several web-based data visualization and analytics tools.

Malawi Household Surveys for Agricultural Biodiversity Assessment: Dataset

To identify and quantify all the useful plant, animal, and aquatic species utilized by rural households and communities in the Dryland Systems CRP sites, as well as information on markets attended and general socioeconomic household characteristics. Within each species, the number of types/varieties/breeds at the household-level that are: (a) grown on farm and home garden, or collected from the wild; (b) consumed as part of the diet; and (c) purchased and sold in the study sites. Information was collected for each species on its place of production or collection (farm, home garden, collected in the wild, etc.), the objective for its production or collection (Self-consumption, sale in the market, both), its different uses (food, medicine, animal feed, building material, processing, etc.), seasonality, the number of types, varieties and breeds recognized and used, key characteristics of its seed system (sources of seed, transactions and social relationships), and the water regime associated with its production (rainfed, irrigated, water harvest, etc.). Socioeconomic data collected were: family size, land owned and cultivated, water resources, housing, ownership of consumer goods, sources of income, social networking etc. This information will be used to characterize three dimensions of ABD: (1) diversity in the production system, including on farm and common lands; (2) dietary diversity; and (3) market diversity; in terms of the elements and relationships involved and the exogenous factors that influence their status and dynamics. These data will be the basis for analyzing the roles of ABD (Agricultural Biodiversity) in the lives and livelihoods of these rural populations in order to identify entry points for designing and implementing interventions that contribute to improve their well-being. A household survey with a representative random sample of 50 households per village for the sections/villages sampled for overall baseline survey in the Ntcheu District of Malawi. Data was collected from from sections/villages selcted from extension areas (EPAs). The total sample size is 340 households. Four extenstion planning areas in the Ntcheu District of Malawi were surveyed: Manjawira, Nsipe, Sharpevale and Tsangano

Malawi Focus Group Discussions Data: Dataset

A series of focus group discussions (FGDs) to elicit the local knowledge about the agricultural and wild biodiversity present in the study areas in order to generate: (a) an inventory (list) of all useful plant, animal, insect and aquatic species used by local communities for human food, animal feed, medicine, fuel, housing, farming tools, etc. and their local names; (b) an inventory of all foods consumed; (c) an inventory of species and products bought and sold in markets that people in the village attend. All the FGDs were held separately for men and women in order to collect gender disaggregated data. Focus group discussions carried out in the selected EPAs/sections. Information was collected on the useful species grown/collected/managed in the target sections/villages. For common and well-known species, the name and a photo of each species were recorded in the list of useful plants in the target communities. There groups were split into two: one of males and one of females. Each group dealt with the four aspects for discussion: (a) Useful biological diversity in the production system (b) Dietary diversity (c)Market diversity. Four extension planning areas in the Ntcheu District of Malawi were surveyed: Manjawira, Nsipe, Sharpevale and Tsangano