Adding soil sampling to household surveys: Information for sample design from pilot data

Large sample surveys with households, or individuals within households, as the basic sampled units, are important sources of information on variables related to household income, economic activity, food security and nutritional status. In many circumstances the advantages of supplementing these surv...

Full description

Saved in:
Bibliographic Details
Main Authors: R.M. Lark, L. Mlambo, H. Pswarayi, D. Zardetto, S. Gourlay
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Geoderma
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S001670612400377X
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1841550724181262336
author R.M. Lark
L. Mlambo
H. Pswarayi
D. Zardetto
S. Gourlay
author_facet R.M. Lark
L. Mlambo
H. Pswarayi
D. Zardetto
S. Gourlay
author_sort R.M. Lark
collection DOAJ
description Large sample surveys with households, or individuals within households, as the basic sampled units, are important sources of information on variables related to household income, economic activity, food security and nutritional status. In many circumstances the advantages of supplementing these surveys with sampling of the soil from fields or other land units which the households cultivate may seem obvious, as a source of information on the quality of the soil on which households depend, and potential limitations on their food security such as soil pH or nutrient status. However, it is not certain that household surveys, designed to examine social and economic variables, will be efficient for collecting soil information, or will provide adequate estimates of soil property means at scales of interest. Additional sampling might be necessary, so an attendant question is whether this is feasible. In this paper we use data on soil pH and soil carbon inferred by spectral measurements on soil specimens collected from land cultivated by households in Uganda and Ethiopia to estimate variance components for these properties, and from these the standard errors for mean values at District (Uganda) or Zone (Ethiopia) level by household surveys with different designs. Similar calculations were done for direct measurement of soil carbon and soil pH from a spatial sample in Malawi from which variograms were used to infer the variance components corresponding to the levels of a household survey. The results allow the calculation of sample sizes at different levels of the design, required to allow estimates of particular quantities to be obtained with specified precision. The numbers of sampled enumeration areas required to obtain estimates of district or zone-level means with the arbitrary specified precision were large, but the feasibility of such sampling must be judged for a particular application, and the precision appropriate for that. The presented method makes that possible.
format Article
id doaj-art-e72e8197b4ff4af4bebab68994f248bd
institution Kabale University
issn 1872-6259
language English
publishDate 2025-01-01
publisher Elsevier
record_format Article
series Geoderma
spelling doaj-art-e72e8197b4ff4af4bebab68994f248bd2025-01-10T04:36:45ZengElsevierGeoderma1872-62592025-01-01453117148Adding soil sampling to household surveys: Information for sample design from pilot dataR.M. Lark0L. Mlambo1H. Pswarayi2D. Zardetto3S. Gourlay4School of Biosciences, University of Nottingham, Sutton Bonington Campus, Loughborough, Leicestershire LE12 5RD, UK; Corresponding author.School of Biosciences, University of Nottingham, Sutton Bonington Campus, Loughborough, Leicestershire LE12 5RD, UKSchool of Biosciences, University of Nottingham, Sutton Bonington Campus, Loughborough, Leicestershire LE12 5RD, UKDevelopment Data Group, World Bank, Via Labicana 110, Rome, 00184, ItalyDevelopment Data Group, World Bank, Via Labicana 110, Rome, 00184, ItalyLarge sample surveys with households, or individuals within households, as the basic sampled units, are important sources of information on variables related to household income, economic activity, food security and nutritional status. In many circumstances the advantages of supplementing these surveys with sampling of the soil from fields or other land units which the households cultivate may seem obvious, as a source of information on the quality of the soil on which households depend, and potential limitations on their food security such as soil pH or nutrient status. However, it is not certain that household surveys, designed to examine social and economic variables, will be efficient for collecting soil information, or will provide adequate estimates of soil property means at scales of interest. Additional sampling might be necessary, so an attendant question is whether this is feasible. In this paper we use data on soil pH and soil carbon inferred by spectral measurements on soil specimens collected from land cultivated by households in Uganda and Ethiopia to estimate variance components for these properties, and from these the standard errors for mean values at District (Uganda) or Zone (Ethiopia) level by household surveys with different designs. Similar calculations were done for direct measurement of soil carbon and soil pH from a spatial sample in Malawi from which variograms were used to infer the variance components corresponding to the levels of a household survey. The results allow the calculation of sample sizes at different levels of the design, required to allow estimates of particular quantities to be obtained with specified precision. The numbers of sampled enumeration areas required to obtain estimates of district or zone-level means with the arbitrary specified precision were large, but the feasibility of such sampling must be judged for a particular application, and the precision appropriate for that. The presented method makes that possible.http://www.sciencedirect.com/science/article/pii/S001670612400377XSample surveysSoil organic carbonSoil pHVariance componentsSampling design
spellingShingle R.M. Lark
L. Mlambo
H. Pswarayi
D. Zardetto
S. Gourlay
Adding soil sampling to household surveys: Information for sample design from pilot data
Geoderma
Sample surveys
Soil organic carbon
Soil pH
Variance components
Sampling design
title Adding soil sampling to household surveys: Information for sample design from pilot data
title_full Adding soil sampling to household surveys: Information for sample design from pilot data
title_fullStr Adding soil sampling to household surveys: Information for sample design from pilot data
title_full_unstemmed Adding soil sampling to household surveys: Information for sample design from pilot data
title_short Adding soil sampling to household surveys: Information for sample design from pilot data
title_sort adding soil sampling to household surveys information for sample design from pilot data
topic Sample surveys
Soil organic carbon
Soil pH
Variance components
Sampling design
url http://www.sciencedirect.com/science/article/pii/S001670612400377X
work_keys_str_mv AT rmlark addingsoilsamplingtohouseholdsurveysinformationforsampledesignfrompilotdata
AT lmlambo addingsoilsamplingtohouseholdsurveysinformationforsampledesignfrompilotdata
AT hpswarayi addingsoilsamplingtohouseholdsurveysinformationforsampledesignfrompilotdata
AT dzardetto addingsoilsamplingtohouseholdsurveysinformationforsampledesignfrompilotdata
AT sgourlay addingsoilsamplingtohouseholdsurveysinformationforsampledesignfrompilotdata