TY - JOUR
T1 - Relative importance of urban and non-urban land-use types for potential denitrification derived N2O : insights from a regional study
AU - Xu, Hui-Juan
AU - Delgado-Baquerizo, Manuel
AU - Pan, Fu-Xia
AU - An, Xin-Li
AU - Singh, Brajesh K.
AU - Khan, Sardar
AU - Li, Gang
AU - Tang, Jian-Feng
AU - Zhao, Xiao-Feng
AU - Yao, Huai-Ying
AU - Zhu, Yong-Guan
PY - 2019
Y1 - 2019
N2 - Identifying the relative importance of urban and non-urban land-use types for potential denitrification derived N2O at a regional scale is critical for quantifying the impacts of human activities on nitrous oxide (N2O) emission under changing environments. In this study we used a regional dataset from China including 197 soil samples and six land-use types to evaluate the main predictors (land use, heavy metals, soil pH, soil moisture, substrate availability, functional and broad microbial abundances) of potential denitrification using multivariate and pathway analysis. Our results provide empirical evidence that soils on farms have the greatest potential denitrifying ability (PDA) (10.92±6.08ng N2O-N·g-1 dry soil·min-1) followed by urban soil (6.80±5.35ng N2O-N·g-1 dry soil·min-1). Our models indicate that land use (low vs. high human activity), followed by total nitrogen (TN) and heavy metals (Cu, Zn, Pb, Cd) was the most important driver of PDA. In addition, our path analysis suggests that at least part of the impacts of land use on potential denitrification were mediated via microbial abundance, soil pH and substrates including TN, dissolved organic carbon and nitrate. This study identifies the main predictors of denitrification at a regional scale which is needed to quantify the impact of human activities on ecosystem functionality under changing conditions.
AB - Identifying the relative importance of urban and non-urban land-use types for potential denitrification derived N2O at a regional scale is critical for quantifying the impacts of human activities on nitrous oxide (N2O) emission under changing environments. In this study we used a regional dataset from China including 197 soil samples and six land-use types to evaluate the main predictors (land use, heavy metals, soil pH, soil moisture, substrate availability, functional and broad microbial abundances) of potential denitrification using multivariate and pathway analysis. Our results provide empirical evidence that soils on farms have the greatest potential denitrifying ability (PDA) (10.92±6.08ng N2O-N·g-1 dry soil·min-1) followed by urban soil (6.80±5.35ng N2O-N·g-1 dry soil·min-1). Our models indicate that land use (low vs. high human activity), followed by total nitrogen (TN) and heavy metals (Cu, Zn, Pb, Cd) was the most important driver of PDA. In addition, our path analysis suggests that at least part of the impacts of land use on potential denitrification were mediated via microbial abundance, soil pH and substrates including TN, dissolved organic carbon and nitrate. This study identifies the main predictors of denitrification at a regional scale which is needed to quantify the impact of human activities on ecosystem functionality under changing conditions.
KW - China
KW - denitrification
KW - ecosystems
KW - land use
KW - nitrogen
KW - nitrous oxide
KW - urban soils
UR - http://handle.westernsydney.edu.au:8081/1959.7/uws:52414
U2 - 10.1017/S175569101800066X
DO - 10.1017/S175569101800066X
M3 - Article
SN - 1755-6910
VL - 109
SP - 453
EP - 460
JO - Earth and Environmental Science Transactions of the Royal Society of Edinburgh
JF - Earth and Environmental Science Transactions of the Royal Society of Edinburgh
IS - 45385
ER -