Repository logo
 
Publication

Soil sampling design and sampling techniques for soil properties monitoring – common difficulties related to forest soils

dc.contributor.authorMeira Castro, Ana C.
dc.contributor.authorMeixedo, João Paulo
dc.contributor.authorAlbergaria, José Tomás
dc.contributor.authorDelerue-Matos, Cristina
dc.contributor.authorGomes, José
dc.contributor.authorRibeiro, João
dc.contributor.authorRibeiro, Susana
dc.date.accessioned2014-09-08T11:25:30Z
dc.date.available2014-09-08T11:25:30Z
dc.date.issued2010
dc.description.abstractMathematical models and statistical analysis are key instruments in soil science scientific research as they can describe and/or predict the current state of a soil system. These tools allow us to explore the behavior of soil related processes and properties as well as to generate new hypotheses for future experimentation. A good model and analysis of soil properties variations, that permit us to extract suitable conclusions and estimating spatially correlated variables at unsampled locations, is clearly dependent on the amount and quality of data and of the robustness techniques and estimators. On the other hand, the quality of data is obviously dependent from a competent data collection procedure and from a capable laboratory analytical work. Following the standard soil sampling protocols available, soil samples should be collected according to key points such as a convenient spatial scale, landscape homogeneity (or non-homogeneity), land color, soil texture, land slope, land solar exposition. Obtaining good quality data from forest soils is predictably expensive as it is labor intensive and demands many manpower and equipment both in field work and in laboratory analysis. Also, the sampling collection scheme that should be used on a data collection procedure in forest field is not simple to design as the sampling strategies chosen are strongly dependent on soil taxonomy. In fact, a sampling grid will not be able to be followed if rocks at the predicted collecting depth are found, or no soil at all is found, or large trees bar the soil collection. Considering this, a proficient design of a soil data sampling campaign in forest field is not always a simple process and sometimes represents a truly huge challenge. In this work, we present some difficulties that have occurred during two experiments on forest soil that were conducted in order to study the spatial variation of some soil physical-chemical properties. Two different sampling protocols were considered for monitoring two types of forest soils located in NW Portugal: umbric regosol and lithosol. Two different equipments for sampling collection were also used: a manual auger and a shovel. Both scenarios were analyzed and the results achieved have allowed us to consider that monitoring forest soil in order to do some mathematical and statistical investigations needs a sampling procedure to data collection compatible to established protocols but a pre-defined grid assumption often fail when the variability of the soil property is not uniform in space. In this case, sampling grid should be conveniently adapted from one part of the landscape to another and this fact should be taken into consideration of a mathematical procedure.por
dc.identifier.urihttp://hdl.handle.net/10400.22/4934
dc.language.isoengpor
dc.subjectSoil samplingpor
dc.subjectSoil sampling techniquespor
dc.subjectForest soilpor
dc.subjectSoil monitoringpor
dc.titleSoil sampling design and sampling techniques for soil properties monitoring – common difficulties related to forest soilspor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceSalzburg, Austriapor
oaire.citation.endPage16por
oaire.citation.startPage13por
oaire.citation.title11th International UFZ- Deltares/TNO Conference on Management of Soil, Groundwater and Sediment - ConSoil 2010, Theme 1.B - Site investigation: Monitoring & Screeningpor
person.familyNameMeira Castro
person.familyNameMeixedo
person.familyNameDelerue-Matos
person.givenNameAna C.
person.givenNameJoao Paulo
person.givenNameCristina
person.identifier.ciencia-id4114-8077-FF55
person.identifier.ciencia-id4C12-9D21-74DD
person.identifier.ciencia-id9A1A-43FB-5C27
person.identifier.orcid0000-0001-5579-6550
person.identifier.orcid0000-0003-4565-924X
person.identifier.orcid0000-0002-3924-776X
person.identifier.ridA-3027-2012
person.identifier.ridD-4990-2013
person.identifier.scopus-author-id37070861900
person.identifier.scopus-author-id6603741848
rcaap.rightsclosedAccesspor
rcaap.typeconferenceObjectpor
relation.isAuthorOfPublication270998d3-93af-4186-a5cc-9045b6958d3b
relation.isAuthorOfPublication6812da91-102d-4887-be36-a02e0771011a
relation.isAuthorOfPublication09f6a7bd-2f15-42b0-adc5-04bd22210519
relation.isAuthorOfPublication.latestForDiscovery09f6a7bd-2f15-42b0-adc5-04bd22210519

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
COM_AMC_2010_DMA.pdf
Size:
25.31 KB
Format:
Adobe Portable Document Format
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: