Species identity improves soil respiration predictions in a semiarid scrubland
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12310%2F20%3A43901316" target="_blank" >RIV/60076658:12310/20:43901316 - isvavai.cz</a>
Alternative codes found
RIV/60077344:_____/20:00525374
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S0016706119315988?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0016706119315988?via%3Dihub</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.geoderma.2019.114153" target="_blank" >10.1016/j.geoderma.2019.114153</a>
Alternative languages
Result language
angličtina
Original language name
Species identity improves soil respiration predictions in a semiarid scrubland
Original language description
Soil respiration accounts for ca. three quarters of total ecosystem respiration and is sensitive to temperature and moisture. Plants can influence soil CO2 emissions through specific effects on soil humidity, soil temperature and soil microbial communities. These plant-soil effects mostly come via litter production and root exudates, enhancing soil autotrophic and heterotrophic respiration. We explored how plant species affected soil CO2 emissions in an arid environment. We altered soil temperature in bare soil and under the canopy of four plant species differing in functional type, and measured monthly fluxes to establish seasonal patterns of CO2 release along a 20-month period. We found that soil temperature explained 69% of the annual soil respiration (SR) variance, while soil water content explained 71% of SR variance. When we included plant species identity in the model, soil temperature and soil water content explained 76% and 81% of SR variance, respectively, exemplifying how plant species modulate SR responses as a function of temperature and water availability. Our results demonstrate that plant species influence soil carbon balance and emphasize that species identity matters in dry ecosystems. SR dynamics in dry ecosystems can be accurately modelled with soil water and temperature as predictors, but models are more efficient if plant species identity is considered.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
40104 - Soil science
Result continuities
Project
<a href="/en/project/LM2015078" target="_blank" >LM2015078: Czech Polar Research Infrastructure</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Geoderma
ISSN
0016-7061
e-ISSN
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Volume of the periodical
363
Issue of the periodical within the volume
APR 1 2020
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
9
Pages from-to
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UT code for WoS article
000515198500025
EID of the result in the Scopus database
2-s2.0-85077494821