Revealing the scale- and location-specific relationship between soil organic carbon and environmental factors in China's north-south transition zone

Geoderma ◽  
2022 ◽  
Vol 409 ◽  
pp. 115600
Author(s):  
Huiwen Tian ◽  
Junhua Zhang ◽  
Lianqi Zhu ◽  
Jingting Qin ◽  
Man Liu ◽  
...  
Geoderma ◽  
2016 ◽  
Vol 281 ◽  
pp. 1-10 ◽  
Author(s):  
Mohammad Ajami ◽  
Ahmad Heidari ◽  
Farhad Khormali ◽  
Manouchehr Gorji ◽  
Shamsollah Ayoubi

2018 ◽  
Vol 426 (1-2) ◽  
pp. 267-286 ◽  
Author(s):  
Laure N. Soucémarianadin ◽  
Lauric Cécillon ◽  
Bertrand Guenet ◽  
Claire Chenu ◽  
François Baudin ◽  
...  

Geoderma ◽  
2020 ◽  
Vol 370 ◽  
pp. 114365 ◽  
Author(s):  
R. Calvo de Anta ◽  
E. Luís ◽  
M. Febrero-Bande ◽  
J. Galiñanes ◽  
F. Macías ◽  
...  

2019 ◽  
Vol 11 (12) ◽  
pp. 1504 ◽  
Author(s):  
Jingyi Huang ◽  
Alfred E. Hartemink ◽  
Yakun Zhang

Soil organic carbon is a sink for mitigating increased atmospheric carbon. The international initiative “4 per 1000” aims at implementing practical actions on increasing soil carbon storage in soils under agriculture. This requires a fundamental understanding of the soil carbon changes across the globe. Several studies have suggested that the global soil organic carbon stocks (SOCS) have decreased due to global warming and land cover change, while others reported SOCS may increase under climate change and improved soil management. To better understand how a changing climate, land cover, and agricultural activities influence SOCS across large extents and long periods, the spatial and temporal variations of SOCS were estimated using a modified space-for-time substitution method over a 150-year period in the state of Wisconsin, USA. We used legacy soil datasets and environmental factors collected and estimated at different times across the state (169,639 km2) coupled with a machine-learning algorithm. The legacy soil datasets were collected from 1980 to 2002 from 550 soil profiles and harmonized to 0.30 m depth. The environmental factors consisted of 100-m soil property maps, 1-km annual temperature and precipitation maps, 250-m remote-sensing (i.e., Landsat)-derived yearly land cover maps and a 30-m digital elevation model. The model performance was moderate but can provide insights on understanding the impacts of different factors on SOCS changes across a large spatial and temporal extent. SOCS at the 0–0.30 m decreased at a rate of 0.1 ton ha−1 year−1 between 1850 and 1938 and increased at 0.2 ton ha−1 year−1 between 1980 and 2002. The spatial variation in SOCS at 0–0.30 m was mainly affected by land cover and soil types with the largest SOCS found in forest and wetland and Spodosols. The loss between 1850 and 1980 was most likely due to land cover change while the increase between 1980 and 2002 was due to best soil management practices (e.g., decreased erosion, reduced tillage, crop rotation and use of legume and cover crops).


2018 ◽  
Vol 29 (3) ◽  
pp. 387-397 ◽  
Author(s):  
Pei-Lei Hu ◽  
Shu-Juan Liu ◽  
Ying-Ying Ye ◽  
Wei Zhang ◽  
Ke-Lin Wang ◽  
...  

SOIL ◽  
2021 ◽  
Vol 7 (2) ◽  
pp. 677-691
Author(s):  
Désiré Tsozué ◽  
Nérine Mabelle Moudjie Noubissie ◽  
Estelle Lionelle Tamto Mamdem ◽  
Simon Djakba Basga ◽  
Dieudonne Lucien Bitom Oyono

Abstract. Research carried out on soil organic carbon stock (SOCS) in the Sudano-Sahelian region of Cameroon is very rare. The few existing studies are mostly available in reports and concern in most cases carbon stocks in plant biomass. In order to contribute to the documentation on soils in this part of the country, the present work was designed to evaluate the SOCS in the main soil types and the influence of environmental factors and soil properties on these stocks under the natural dry tropical area of the Sudano-Sahelian zone of Cameroon. The study was undertaken in four sites, including three natural forest reserves (Laf, Zamai, Kosohon) and one national park (Mozogo), located at different latitudes. Three replicates were collected at each site, giving rise to three sampling points chosen per site, from 0 to 75 cm depth, for the determination of SOCS. At each sampling point, soils were sampled using depth increments of 25 cm from the surface. The studied area is covered by Haplic Vertisols, Dystric Arenosols, Dystric Leptosols and Dystric Planosols. Total SOCS (T-SOCS) content, which refers to a depth of 75 cm, decreases with increasing latitude, with 249±26.26 Mg ha−1 in Vertisols at Laf forest reserve most southerly located, 199±8.00 Mg ha−1 in Arenosols at Zamai forest reserve, 166±16.63 Mg ha−1 in Leptosols at Kosohon forest reserve and 161±8.88 Mg ha−1 in Planosols at Mozogo national park most northerly located, regardless of the altitude. No significant correlation was noted between T-SOCS and the altitude. A good correlation was noted between precipitation which decreases with increasing latitude and T-SOCS, indicating the importance of climate in the distribution of T-SOCS in the study area, which directly influences the productivity of the vegetation. More than 60 % of the SOCS was stored below the first 25 cm from the soil surface, a peculiarity of SOCS in drylands. The SOCS in the Sudano-Sahelian area of Cameroon is mainly influenced by climate and vegetation.


2018 ◽  
Vol 435 (1-2) ◽  
pp. 309-321 ◽  
Author(s):  
Guan Wang ◽  
Junran Li ◽  
Sujith Ravi ◽  
Bethany P. Theiling ◽  
Joel B. Sankey

2015 ◽  
Vol 27 (3) ◽  
pp. 603-611 ◽  
Author(s):  
Bárbara A. Willaarts ◽  
Cecilio Oyonarte ◽  
Miriam Muñoz‐Rojas ◽  
Juan José Ibáñez ◽  
Pedro A. Aguilera

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