Scaling point and plot measurements of greenhouse gas fluxes, balances, and intensities to whole farms and landscapes

Measurements of nutrient stocks and greenhouse gas (GHG) fluxes are typically collected at very local scales (<1 to 30 m2) and then extrapolated to estimate impacts at larger spatial extents (farms, landscapes, or even countries). Translating point measurements to higher levels of aggregation is cal...

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Main Authors: Rosenstock, Todd S., Rufino, Mariana C., Chirinda, Ngonidzashe, Bussel, Lenny G. J. van, Reidsma, Pytrik, Butterbach-Bahl, Klaus
Format: Book Chapter
Language:Inglés
Published: Springer 2016
Subjects:
Online Access:https://hdl.handle.net/10568/77213
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author Rosenstock, Todd S.
Rufino, Mariana C.
Chirinda, Ngonidzashe
Bussel, Lenny G. J. van
Reidsma, Pytrik
Butterbach-Bahl, Klaus
author_browse Bussel, Lenny G. J. van
Butterbach-Bahl, Klaus
Chirinda, Ngonidzashe
Reidsma, Pytrik
Rosenstock, Todd S.
Rufino, Mariana C.
author_facet Rosenstock, Todd S.
Rufino, Mariana C.
Chirinda, Ngonidzashe
Bussel, Lenny G. J. van
Reidsma, Pytrik
Butterbach-Bahl, Klaus
author_sort Rosenstock, Todd S.
collection Repository of Agricultural Research Outputs (CGSpace)
description Measurements of nutrient stocks and greenhouse gas (GHG) fluxes are typically collected at very local scales (<1 to 30 m2) and then extrapolated to estimate impacts at larger spatial extents (farms, landscapes, or even countries). Translating point measurements to higher levels of aggregation is called scaling. Scaling fundamentally involves conversion of data through integration or interpolation and/or simplifying or nesting models. Model and data manipulation techniques to scale estimates are referred to as scaling methods. 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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spelling CGSpace772132025-03-13T09:44:04Z Scaling point and plot measurements of greenhouse gas fluxes, balances, and intensities to whole farms and landscapes Rosenstock, Todd S. Rufino, Mariana C. Chirinda, Ngonidzashe Bussel, Lenny G. J. van Reidsma, Pytrik Butterbach-Bahl, Klaus agriculture climate change air pollution quality control environmental management greenhouse gases landscape agricultura cambio climático polución del aire control de calidad gestión ambiental gases de efecto invernadero paisaje Measurements of nutrient stocks and greenhouse gas (GHG) fluxes are typically collected at very local scales (<1 to 30 m2) and then extrapolated to estimate impacts at larger spatial extents (farms, landscapes, or even countries). Translating point measurements to higher levels of aggregation is called scaling. Scaling fundamentally involves conversion of data through integration or interpolation and/or simplifying or nesting models. Model and data manipulation techniques to scale estimates are referred to as scaling methods. 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. 2016 2016-10-06T18:48:16Z 2016-10-06T18:48:16Z Book Chapter https://hdl.handle.net/10568/77213 en Open Access Springer Rosenstock, Todd S.; Rufino, Mariana C.; Chirinda, Ngonidzashe; Van Bussel, Lenny; Reidsma, Pytrik; Butterbach-Bahl, Klaus. 2016. Scaling point and plot measurements of greenhouse gas fluxes, balances, and intensities to whole farms and landscapes . In: Rosenstock, Todd S.; Rufino, Mariana C.; Butterbach-Bahl, Klaus; Wollenberg, Lini; Richards, Meryl (Eds).2016. Methods for Measuring Greenhouse Gas Balances and Evaluating Mitigation Options in Smallholder Agriculture. . Springer, Switzerland. pp.175-188.
spellingShingle agriculture
climate change
air pollution
quality control
environmental management
greenhouse gases
landscape
agricultura
cambio climático
polución del aire
control de calidad
gestión ambiental
gases de efecto invernadero
paisaje
Rosenstock, Todd S.
Rufino, Mariana C.
Chirinda, Ngonidzashe
Bussel, Lenny G. J. van
Reidsma, Pytrik
Butterbach-Bahl, Klaus
Scaling point and plot measurements of greenhouse gas fluxes, balances, and intensities to whole farms and landscapes
title Scaling point and plot measurements of greenhouse gas fluxes, balances, and intensities to whole farms and landscapes
title_full Scaling point and plot measurements of greenhouse gas fluxes, balances, and intensities to whole farms and landscapes
title_fullStr Scaling point and plot measurements of greenhouse gas fluxes, balances, and intensities to whole farms and landscapes
title_full_unstemmed Scaling point and plot measurements of greenhouse gas fluxes, balances, and intensities to whole farms and landscapes
title_short Scaling point and plot measurements of greenhouse gas fluxes, balances, and intensities to whole farms and landscapes
title_sort scaling point and plot measurements of greenhouse gas fluxes balances and intensities to whole farms and landscapes
topic agriculture
climate change
air pollution
quality control
environmental management
greenhouse gases
landscape
agricultura
cambio climático
polución del aire
control de calidad
gestión ambiental
gases de efecto invernadero
paisaje
url https://hdl.handle.net/10568/77213
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