12 Papers
8 Citations
Dan Wan is an academic researcher from Huazhong Agricultural University. The author has contributed to research in topics: Soil water & Biology. The author has an hindex of 3, co-authored 4 publications.
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Papers
Iron oxides selectively stabilize plant‐derived polysaccharides and aliphatic compounds in agricultural soils
TL;DR: In this paper, the concentration, molecular composition and biological sources of iron oxide-bound organic carbon (Fe•bound OC) in arable soils collected from 12 sites in central and east China were comprehensively examined.
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Effects of long-term fertilization on calcium-associated soil organic carbon: Implications for C sequestration in agricultural soils.
Dan Wan,Mingkai Ma,Na Peng,Xuesong Luo,Wenli Chen,Peng Cai,Lihui Wu,Haibin Pan,Jiubin Chen,Guanghui Yu,Qiaoyun Huang +10 more
TL;DR: In this paper, the role of Ca2+ in the accumulation of organic carbon in the topsoil (0-20 cm) from two long-term (25-37 years) fertilization experiment sites was reported.
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Microbial community mediates hydroxyl radical production in soil slurries by iron redox transformation.
TL;DR: In this paper , a series of well-controlled anoxic incubations of soil slurries was used to demonstrate that interactions between microbial communities and Fe minerals synergistically drove HO• production (up to ∼100 nM after 21-day incubation).
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Drivers of water erosion-induced lateral soil carbon loss on the Tibetan Plateau
TL;DR: In this paper , the authors used remote sensing, ground observations, and grid datasets to investigate the spatial distribution of lateral organic carbon (SOC) induced by soil loss and its drivers across the Tibetan Plateau from 2001 to 2017.
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High-resolution mapping and driving factors of soil erodibility in southeastern Tibet
TL;DR: In this article , a high-resolution (90 m) spatial distribution of the K factor values in southeastern Tibet using a random forest model with multiple environmental variables, based on remote sensing, ground observations (114 sampling points), and gridded datasets.
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