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Title:
Ocena zalog talnega organskega ogljika v kmetijskih zemljiščih Slovenije - SOCmapSI-RK 2023
Authors:
ID
Bergant, Janez
(
Author
)
ID
Kastelic, Peter
(
Author
)
ID
Vrščaj, Borut
(
Author
)
Files:
URL - Source URL, visit
https://www.kis.si/
URL - Source URL, visit
https://gis.etla.si/KIS-WebGIS/#config=OZ.xml
URL - Source URL, visit
https://www.kis.si/
This document has even more files. Complete list of files is available
below
.
Language:
Slovenian
Typology:
2.20 - Complete scientific database of research data
Organization:
KIS - Agricultural Institute of Slovenia
Abstract:
Oceno zalog ogljika smo za kmetijska zemljišča izvedli iz analitskih rezultatov merjenih podatkov vzorčenja na kmetijskih zemljiščih med leti 2016 – 2022. Iz podatkov geoinformacijskih slojev - potencialne neodvisne spremenljivke - smo izdelali regresijski model ter končne ocene zalog ogljika v tleh kmetijskih zemljišč napovedali z metodo regresijske interpolacije (regression krigging). Model smo poimenovali SOCmapSI-RK. Z modelom SOCmapSI-RK smo ocenili, da so zaloge TOC na KZ v globini od 0 – 30 cm med 31,0 t in 329,0 t TOC/ha s povprečno zalogo 87,2 t TOC/ha in skupno zalogo 54,9 Mt.
Keywords:
tla
,
zaloge ogljika
,
organski ogljik
,
SOCmap
Place of publishing:
Ljubljana
Place of performance:
Ljubljana
Publisher:
Kmetijski inštitut Slovenije
Year of publishing:
2023
Year of performance:
2023
Number of pages:
1 spletni vir
PID:
20.500.12556/DiRROS-29456
UDC:
631
COBISS.SI-ID:
157225219
Copyright:
Dostop z omejitvijo, potrebna registracija na
https://gis.etla.si/KIS-WebGIS/#config=OZ.xml
Note:
Nasl. z nasl. zaslona; Opis vira z dne 29. 6. 2023; Dostop z omejitvijo, potrebna registracija; SOCmapSI-RK 2023;
Publication date in DiRROS:
20.05.2026
Views:
150
Downloads:
129
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Secondary language
Language:
English
Title:
Soil organic carbon stocks in agricultural land of Slovenia - SOCmapSI-RK 2023
Abstract:
For calculation of soil organic carbon (SOC) stocks we used measured data from soil sampling carried out between 2016 – 2022. Using the available spatial data as covariates we created the regression matrix with soil organic carbon stocks on sampling locations. For upscaling method we used regression kriging and gave model a name SOCmapSI-RK. We estimated that SOC stocks in Slovenian agricultural land at depth 0 – 30 cm vary between 31,0 t and 329,0 t SOC/ha depending on land use, with an overall average of 87,2 t SOC/ha which means the SOC stocks in Slovenian agricultural land are 54,9 Mt.
Keywords:
soil
,
carbon stocks
,
organic carbon
,
SOCmap
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