In this chapter, we first discuss the necessity and underlying premise of scaling and scaling methods. Almost all cases of agricultural GHG emissions and carbon (C) stock change research relies on disaggregated data, either spatially or by farming activity, as a fundamental input of scaling. Therefore, we then assess the utility of using empirical and process-based models with disaggregated data, specifically concentrating on the opportunities and challenges for their application to diverse smallholder farming systems in tropical regions. We describe key advancements needed to improve the confidence in results from these scaling methods in the future.
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DOI:
https://doi.org/10.1007/978-3-319-29794-1_9Altmetric score:
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Publication year
2021
Authors
Rosenstock, T.S.; Rufino, M.C.; Chirinda, N.; Van Bussel, L.; Reidsma, P.; Butterbach-Bahl, K.
Language
English
Keywords
emissions, greenhouse gases, carbon sinks, models, agriculture
