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

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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 et al.
Methods for Measuring Greenhouse Gas Balances and Evaluating Mitigation Options in Smallholder Agriculture. Cham: Springer International Publishing AG, 2016. p. 175-188.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter

Harvard

Rosenstock, TS, Rufino, MC, Chirinda, N, Van Bussel, L, Reidsma, P & Butterbach-Bahl, K 2016, Scaling point and plot measurements of greenhouse gas fluxes, balances, and intensities to whole farms and landscapes. in Methods for Measuring Greenhouse Gas Balances and Evaluating Mitigation Options in Smallholder Agriculture. Springer International Publishing AG, Cham, pp. 175-188. https://doi.org/10.1007/978-3-319-29794-1_9

APA

Rosenstock, T. S., Rufino, M. C., Chirinda, N., Van Bussel, L., Reidsma, P., & Butterbach-Bahl, K. (2016). Scaling point and plot measurements of greenhouse gas fluxes, balances, and intensities to whole farms and landscapes. In Methods for Measuring Greenhouse Gas Balances and Evaluating Mitigation Options in Smallholder Agriculture (pp. 175-188). Springer International Publishing AG. https://doi.org/10.1007/978-3-319-29794-1_9

Vancouver

Rosenstock TS, Rufino MC, Chirinda N, Van Bussel L, Reidsma P, Butterbach-Bahl K. Scaling point and plot measurements of greenhouse gas fluxes, balances, and intensities to whole farms and landscapes. In Methods for Measuring Greenhouse Gas Balances and Evaluating Mitigation Options in Smallholder Agriculture. Cham: Springer International Publishing AG. 2016. p. 175-188 doi: 10.1007/978-3-319-29794-1_9

Author

Rosenstock, Todd S. ; Rufino, Mariana C. ; Chirinda, Ngonidzashe et al. / Scaling point and plot measurements of greenhouse gas fluxes, balances, and intensities to whole farms and landscapes. Methods for Measuring Greenhouse Gas Balances and Evaluating Mitigation Options in Smallholder Agriculture. Cham : Springer International Publishing AG, 2016. pp. 175-188

Bibtex

@inbook{906582083ef34b37b420bddb1bc7ccdc,
title = "Scaling point and plot measurements of greenhouse gas fluxes, balances, and intensities to whole farms and landscapes",
abstract = "Measurements of nutrient stocks and greenhouse gas (GHG) fluxes are typically collected at very local scales (2) 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.",
author = "Rosenstock, {Todd S.} and Rufino, {Mariana C.} and Ngonidzashe Chirinda and {Van Bussel}, Lenny and Pytrik Reidsma and Klaus Butterbach-Bahl",
year = "2016",
month = jan,
day = "1",
doi = "10.1007/978-3-319-29794-1_9",
language = "English",
isbn = "9783319297927",
pages = "175--188",
booktitle = "Methods for Measuring Greenhouse Gas Balances and Evaluating Mitigation Options in Smallholder Agriculture",
publisher = "Springer International Publishing AG",
address = "Switzerland",

}

RIS

TY - CHAP

T1 - Scaling point and plot measurements of greenhouse gas fluxes, balances, and intensities to whole farms and landscapes

AU - Rosenstock, Todd S.

AU - Rufino, Mariana C.

AU - Chirinda, Ngonidzashe

AU - Van Bussel, Lenny

AU - Reidsma, Pytrik

AU - Butterbach-Bahl, Klaus

PY - 2016/1/1

Y1 - 2016/1/1

N2 - Measurements of nutrient stocks and greenhouse gas (GHG) fluxes are typically collected at very local scales (2) 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.

AB - Measurements of nutrient stocks and greenhouse gas (GHG) fluxes are typically collected at very local scales (2) 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.

U2 - 10.1007/978-3-319-29794-1_9

DO - 10.1007/978-3-319-29794-1_9

M3 - Chapter

AN - SCOPUS:85030722144

SN - 9783319297927

SP - 175

EP - 188

BT - Methods for Measuring Greenhouse Gas Balances and Evaluating Mitigation Options in Smallholder Agriculture

PB - Springer International Publishing AG

CY - Cham

ER -