Geostatistical determination of soil noise and soil phosphorus spatial variability

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dc.citation.issue10
dc.citation.volume7
dc.contributor.authorKaul TMC
dc.contributor.authorGrafton MCE
dc.date.available2017-10
dc.date.issued28/09/2017
dc.description.abstractThis research studies the effect of stratifying soil samples to try and find a suitable depth to establish a geospatial relationship for a practical soil sampling grid in New Zealand hill country. Cores were collected from 200 predetermined sites in grids at two trial sites at “Patitapu” hill country farm in theWairarapa, New Zealand. Trial 1 was a 200 m 100 m grid located in a gently undulating paddock. Trial 2 was a 220 m 80 m grid located on a moderately sloped paddock. Each grid had cores taken at intervals of 5 m, 10 m, or 20 m. Core sites were mapped out prior to going into the field; these points were found using a Leica Geo Systems GS15 (real time kinematic GPS) and marked with pigtail pegs and spray-paint on the ground. Cores were taken using a 50 mm-diameter soil core sampler. Cores were cut into three sections according to depth: A—0–30 mm, B—30–75 mm, and C—75–150 mm. Olsen P lab results were obtained for half of the total 1400 samples due to financial constraints. The results indicate that there was a significant decrease in variability from Section A to Section B for both trials. Section B and C for Trial 1 had similar variability, whereas there was another significant drop in variability from Section B to C in Trial 2. Measuring samples below the top 3 cm appeared to effectively reduce noise when sampled from 3 to 15 cm. However, measuring from 7.5 cm to 15 cm on the slope in Trial 2 reduced variability so much that all results were almost identical, which may mean that there is no measurable representation of plant available P. The reduction in noise by removing the top 3 cm of soil samples is significant for improving current soil nutrient testing methods by allowing better geospatial predictions for whole paddock soil nutrient variability mapping
dc.description.publication-statusPublished
dc.identifierhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000423492800005&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=c5bb3b2499afac691c2e3c1a83ef6fef
dc.identifierARTN 83
dc.identifier.citationAGRICULTURE-BASEL, 2017, 7 (10)
dc.identifier.doi10.3390/agriculture7100083
dc.identifier.eissn2077-0472
dc.identifier.elements-id389526
dc.identifier.harvestedMassey_Dark
dc.identifier.urihttps://hdl.handle.net/10179/12155
dc.publisherElsevier Masson
dc.relation.isPartOfAGRICULTURE-BASEL
dc.subjectsoil phosphorus
dc.subjectgeo-statistics
dc.subjectspatial variability
dc.subjectOlsen P
dc.subjectstatistical noise
dc.subject.anzsrc05 Environmental Sciences
dc.subject.anzsrc07 Agricultural and Veterinary Sciences
dc.subject.anzsrc16 Studies in Human Society
dc.titleGeostatistical determination of soil noise and soil phosphorus spatial variability
dc.typeJournal article
pubs.notesNot known
pubs.organisational-group/Massey University
pubs.organisational-group/Massey University/College of Sciences
pubs.organisational-group/Massey University/College of Sciences/School of Agriculture & Environment
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