Soil carbon stock assessment using depth and spatial models on afforested arable lands

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60077344%3A_____%2F22%3A00564276" target="_blank" >RIV/60077344:_____/22:00564276 - isvavai.cz</a>
Result on the web
<a href="https://www.tandfonline.com/doi/full/10.1080/02571862.2022.2079741" target="_blank" >https://www.tandfonline.com/doi/full/10.1080/02571862.2022.2079741</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1080/02571862.2022.2079741" target="_blank" >10.1080/02571862.2022.2079741</a>

Result language
angličtina
Original language name
Soil carbon stock assessment using depth and spatial models on afforested arable lands
Original language description
The change from grasslands and natural shrubs to afforested arable land has a major impact on soil organic carbon (SOC) stocks. Grasslands are known to be SOC sinks as seen in the Chernozems of North America, Eurasia and South Africa. However, determining the SOC stocks of soils can be financially costly as each location must be sampled in depth increments. This study aimed to estimate the SOC stocks for the Mvoti catchment (30 degrees 48 ' E and 29 degrees 18 ' S) in Kwa-Zulu Natal, South Africa by developing depth functions on a limited number of soil samples and expanding these functions to known land-uses and soil types. The results showed that splines captured the short-term vertical distribution of SOC better than exponential decay functions, which has major implications on arable lands. Long-term forest plantations showed a positive correlation with SOC stocks (32.7 kg m(-2)), while annual crop cultivation (27.0 kg m(-2)) showed a negative correlation when compared to natural grasslands (28.8 kg m(-2)). The Cubist algorithm predicted the total SOC stock of the catchment area at between 12 248 and 17 624 Mg depending on the depth function used. Soils with yellow-brown subsoils tend to have higher SOC stocks and the lowest degree of uncertainty.
Czech name
—
Czech description
—

Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
40104 - Soil science

Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Similar results(10)