A spatially explicit representation of conservation agriculture for application in global change studies
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Conservation agriculture (CA) is widely promoted as a sustainable agricultural management strategy and proposed to contribute to climate change mitigation and adaptation through reduced emission of greenhouse gases, increased solar radiation reflection, and the sustainable use of soil and water resources. To improve understanding of how CA management influences the land and climate system, we have developed the first global and spatially explicit data set of present-day CA distribution. National-level estimates of CA have been downscaled to a 5 arcminute regular grid based on multi-criteria analysis. We provide a best estimate of CA distribution and an uncertainty range in the form of a low and high estimate of CA distribution, reflecting the inconsistency in CA definitions. The present-day estimates are complemented by two scenarios of' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["conservation agriculture","environmental modelling","future scenarios","global change","land-based mitigation","land management","land use","sustainable intensification","zero tillage"]} <|eot_id|>
 Here is the Description of a dataset. Description:'Conservation agriculture (CA) is widely promoted as a sustainable agricultural management strategy and proposed to contribute to climate change mitigation and adaptation through reduced emission of greenhouse gases, increased solar radiation reflection, and the sustainable use of soil and water resources. To improve understanding of how CA management influences the land and climate system, we have developed the first global and spatially explicit data set of present-day CA distribution. National-level estimates of CA have been downscaled to a 5 arcminute regular grid based on multi-criteria analysis. We provide a best estimate of CA distribution and an uncertainty range in the form of a low and high estimate of CA distribution, reflecting the inconsistency in CA definitions. The present-day estimates are complemented by two scenarios of' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
Conservation agriculture (CA) is widely promoted as a sustainable agricultural management strategy and proposed to contribute to climate change mitigation and adaptation through reduced emission of greenhouse gases, increased solar radiation reflection, and the sustainable use of soil and water resources. To improve understanding of how CA management influences the land and climate system, we have developed the first global and spatially explicit data set of present-day CA distribution. National-level estimates of CA have been downscaled to a 5 arcminute regular grid based on multi-criteria analysis. We provide a best estimate of CA distribution and an uncertainty range in the form of a low and high estimate of CA distribution, reflecting the inconsistency in CA definitions. The present-day estimates are complemented by two scenarios of
conservation agriculture; environmental modelling; future scenarios; global change; land-based mitigation; land management; land use; sustainable intensification; zero tillage