Survey methodology to assess socioeconomic and biophysical constraints—lessons learnt in the highlands of Papua New Guinea

Kirchhof, G., Taraken, I.T., Ratsch, R., Kapal, D. and Igua, P. (2009). Survey methodology to assess socioeconomic and biophysical constraints—lessons learnt in the highlands of Papua New Guinea. In Gunnar Kirchhof (Ed.), Soil fertility in sweetpotato-based cropping systems in the highlands of Papua New Guinea (pp. 70-78) Canberra, ACT, Australia: Australian Centre for International Agricultural Research.

Author Kirchhof, G.
Taraken, I.T.
Ratsch, R.
Kapal, D.
Igua, P.
Title of chapter Survey methodology to assess socioeconomic and biophysical constraints—lessons learnt in the highlands of Papua New Guinea
Title of book Soil fertility in sweetpotato-based cropping systems in the highlands of Papua New Guinea
Place of Publication Canberra, ACT, Australia
Publisher Australian Centre for International Agricultural Research
Publication Year 2009
Sub-type Critical review of research, literature review, critical commentary
Series ACIAR technical reports
ISBN 9781921531804
1921531800
9781921531811
1921531819
Editor Gunnar Kirchhof
Volume number 71
Chapter number 8
Start page 70
End page 78
Total pages 9
Total chapters 13
Language eng
Subjects 0503 Soil Sciences
0703 Crop and Pasture Production
Abstract/Summary Among developing countries, Papua New Guinea (PNG) has one of the highest population growth rates. As land under cultivation has been stable for decades, the increasing demand for food is placing unprecedented pressure on the land resource under agriculture. An exploratory farmer survey in the highlands of PNG was conducted to assess farming practices in relation to soil productivity decline over time as population increases. The survey comprised farmer interviews as well as the collection of a biophysical dataset, including soil and plant analyses, to underpin farmer perceptions of a potential problem regarding soil fertility. Unlike most farmer surveys, this survey combines socioeconomic data with biophysical measurements. This type of exploratory survey was considered to be necessary to delineate the need for further research intervention. The baseline dataset is also useful to measure post-project impact and adoption, which is often inferred from auxiliary data if baseline data are missing. A main deficiency of the exploratory survey was bias in sample location caused by village access problems and safety concerns. The willingness of farmers, male or female, to participate in the interviews, and sample collection for the biophysical assessment of their gardens, were not problems
Keyword Papua New Guinea highlands
socioeconomic conditions
Soil
Q-Index Code B1
Q-Index Status Provisional Code
Institutional Status Unknown

Document type: Book Chapter
Collection: School of Agriculture and Food Sciences
 
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Created: Tue, 21 Sep 2010, 13:22:45 EST by Ms May Balasaize on behalf of Faculty Of Nat Resources, Agric & Veterinary Sc