AgEvidence Kenya is a database of the multiple benefits and trade-offs associated with regenerative agricultural practices. The purpose of these data are to provide organizations, policy makers, scientists, and other interested parties with all the available evidence related to the diversity and magnitude of agro-environmental impacts that occur following the implementation of regenerative practices. The regenerative practices we focused on in Kenya include continuous cover, conservation tillage, and nutrient management in bean, cereal, tree, and vegetable systems. Data were extracted from peer-reviewed literature published between 2015 and 2020 with experimental field sites located in Kenya. Our dataset includes all response variables reported in each paper where there are isolated comparisons of a conservation practice (e.g. weed density following intercropping and monocropping). With this approach, we were able to capture the state-of-knowledge for a wide diversity of response variables and identify where we lack knowledge.

AgEvidence Kenya is a database of the multiple benefits and trade-offs associated with regenerative agricultural practices. The purpose of these data are to provide organizations, policy makers, scientists, and other interested parties with all the available evidence related to the diversity and magnitude of agro-environmental impacts that occur following the implementation of regenerative practices. The regenerative practices we focused on in Kenya include continuous cover, conservation tillage, and nutrient management in bean, cereal, tree, and vegetable systems. Data were extracted from peer-reviewed literature published between 2015 and 2020 with experimental field sites located in Kenya. Our dataset includes all response variables reported in each paper where there are isolated comparisons of a conservation practice (e.g. weed density following intercropping and monocropping). With this approach, we were able to capture the state-of-knowledge for a wide diversity of response variables and identify where we lack knowledge.

AgEvidence Kenya is a database of the multiple benefits and trade-offs associated with conservation agricultural practices. The purpose of these data are to provide organizations, policy makers, scientists, and other interested parties with all the available evidence related to the diversity and magnitude of agro-environmental impacts that occur following the implementation of conservation practices. The conservation practices we focused on in Kenya include continuous cover, conservation tillage, and nutrient management in bean, cereal, tree, and vegetable systems. Data were extracted from peer-reviewed literature published between 2015 and 2020 with experimental field sites located in Kenya. Our dataset includes all response variables reported in each paper where there are isolated comparisons of a conservation practice (e.g. weed density following intercropping and monocropping). With this approach, we were able to capture the state-of-knowledge for a wide diversity of response variables and identify where we lack knowledge.

AgEvidence Kenya is a database of the multiple benefits and trade-offs associated with regenerative agricultural practices. The purpose of these data are to provide organizations, policy makers, scientists, and other interested parties with all the available evidence related to the diversity and magnitude of agro-environmental impacts that occur following the implementation of regenerative practices. The regenerative practices we focused on in Kenya include continuous cover, conservation tillage, and nutrient management in bean, cereal, tree, and vegetable systems. Data were extracted from peer-reviewed literature published between 2015 and 2020 with experimental field sites located in Kenya. Our dataset includes all response variables reported in each paper where there are isolated comparisons of a conservation practice (e.g. weed density following intercropping and monocropping). With this approach, we were able to capture the state-of-knowledge for a wide diversity of response variables and identify where we lack knowledge.

AgEvidence Kenya is a database of the multiple benefits and trade-offs associated with regenerative agricultural practices. The purpose of these data are to provide organizations, policy makers, scientists, and other interested parties with all the available evidence related to the diversity and magnitude of agro-environmental impacts that occur following the implementation of regenerative practices. The regenerative practices we focused on in Kenya include continuous cover, conservation tillage, and nutrient management in bean, cereal, tree, and vegetable systems. Data were extracted from peer-reviewed literature published between 2010 and 2020 with experimental field sites located in Kenya. Our dataset includes all response variables reported in each paper where there are isolated comparisons of a conservation practice (e.g. weed density following intercropping and monocropping). With this approach, we were able to capture the state-of-knowledge for a wide diversity of response variables and identify where we lack knowledge.

AgEvidence Kenya is a database of the multiple benefits and trade-offs associated with conservation agricultural practices. The purpose of these data are to provide organizations, policy makers, scientists, and other interested parties with all the available evidence related to the diversity and magnitude of agro-environmental impacts that occur following the implementation of conservation practices. The conservation practices we focused on in Kenya include continuous cover, conservation tillage, and nutrient management in bean, cereal, tree, and vegetable systems. Data were extracted from peer-reviewed literature published between 2015 and 2020 with experimental field sites located in Kenya. Our dataset includes all response variables reported in each paper where there are isolated comparisons of a conservation practice (e.g. weed density following intercropping and monocropping). With this approach, we were able to capture the state-of-knowledge for a wide diversity of response variables and identify where we lack knowledge.

AgEvidence Kenya is a database of the multiple benefits and trade-offs associated with conservation agricultural practices. The purpose of these data are to provide organizations, policy makers, scientists, and other interested parties with all the available evidence related to the diversity and magnitude of agro-environmental impacts that occur following the implementation of conservation practices. The conservation practices we focused on in Kenya include continuous cover, conservation tillage, and nutrient management in bean, cereal, tree, and vegetable systems. Data were extracted from peer-reviewed literature published between 2015 and 2020 with experimental field sites located in Kenya. Our dataset includes all response variables reported in each paper where there are isolated comparisons of a conservation practice (e.g. weed density following intercropping and monocropping). With this approach, we were able to capture the state-of-knowledge for a wide diversity of response variables and identify where we lack knowledge.

AgEvidence Kenya is a database of the multiple benefits and trade-offs associated with conservation agricultural practices. The purpose of these data are to provide organizations, policy makers, scientists, and other interested parties with all the available evidence related to the diversity and magnitude of agro-environmental impacts that occur following the implementation of conservation practices. The conservation practices we focused on in Kenya include continuous cover, conservation tillage, and nutrient management in bean, cereal, tree, and vegetable systems. Data were extracted from peer-reviewed literature published between 2015 and 2020 with experimental field sites located in Kenya. Our dataset includes all response variables reported in each paper where there are isolated comparisons of a conservation practice (e.g. weed density following intercropping and monocropping). With this approach, we were able to capture the state-of-knowledge for a wide diversity of response variables and identify where we lack knowledge.

AgEvidence US is a database of the multiple benefits and trade-offs associated with conservation agricultural practices in the United States Midwest. The purpose of these data are to provide organizations, policy makers, scientists, and other interested parties with all the available evidence related to the diversity and magnitude of agro-environmental impacts that occur following the implementation of conservation practices. The conservation practices we focused on include winter cover crops, conservation tillage, strategic nutrient management, and early season pest management in corn and soybean systems. Data were extracted from peer-reviewed literature published between 1980 and 2020 with experimental field sites located in at least one of the following states: Illinois, Indiana, Iowa, Kansas, Michigan, Minnesota, Missouri, North Dakota, Nebraska, Ohio, South Dakota, and Wisconsin. Our dataset includes all response variables reported in each paper where there are isolated comparisons of a conservation practice (e.g. soil nitrate content following winter fallow and following winter cover crop). With this approach, we were able to capture the state-of-knowledge for a wide diversity of response variables and identify where we lack knowledge.

AgEvidence US is a database of the multiple benefits and trade-offs associated with conservation agricultural practices in the United States Midwest. The purpose of these data are to provide organizations, policy makers, scientists, and other interested parties with all the available evidence related to the diversity and magnitude of agro-environmental impacts that occur following the implementation of conservation practices. The conservation practices we focused on include winter cover crops, conservation tillage, strategic nutrient management, and early season pest management in corn and soybean systems. Data were extracted from peer-reviewed literature published between 1980 and 2020 with experimental field sites located in at least one of the following states: Illinois, Indiana, Iowa, Kansas, Michigan, Minnesota, Missouri, North Dakota, Nebraska, Ohio, South Dakota, and Wisconsin. Our dataset includes all response variables reported in each paper where there are isolated comparisons of a conservation practice (e.g. soil nitrate content following winter fallow and following winter cover crop). With this approach, we were able to capture the state-of-knowledge for a wide diversity of response variables and identify where we lack knowledge.