Universität zu Köln

Zhang, Liming, Zhuang, Qianlai, Zhao, Quanying, He, Yujie ORCID: 0000-0001-8261-5399, Yu, Dongsheng, Shi, Xuezheng and Xing, Shihe (2016). Uncertainty of organic carbon dynamics in Tai-Lake paddy soils of China depends on the scale of soil maps. Agric. Ecosyst. Environ., 222. S. 13 - 23. AMSTERDAM: ELSEVIER. ISSN 1873-2305

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Abstract

Agro-ecosystem models have been widely used to quantify soil organic carbon (SOC) dynamics based on digital soil maps. However, most of the studies use soil data of single or limited choices of map scales, thus the influence of map scales on SOC dynamics has rarely been quantified. In this study, six digital paddy soils databases of the Tai -Lake region in China at scales of 1:50,000 (P005),1:200,000 (P02),1:500,000 (P05), 1:1,000,000 (P1), 1:4,000,000 (P4), and 1:14,000,000 (P14) were used to drive the DNDC (DeNitrification & DeComposition) model to quantify SOC dynamics for the period of 2001-2019. Model simulations show that the total SOC changes from 2001 to 2019 in the top layer (0-30 cm) of paddy soils using P005, P02, P05, P1, P4, and P14 soil maps would be 3.44, 3.71, 1.41, 2.01, 3.57 and 0.10 Tg C, respectively. The simulated SOC dynamics are significantly influenced by map scales. Taking the total SOC changes based on the most detailed soil map, P005, as a reference, the relative deviation of P02, P05, P1, P4, and P14 were 7.9%, 58.9%, 41.6%, 3.9%, and 97.0%, respectively. Such differences are primarily attributed to missing soil types and spatial variations in soil types in coarse -scale maps. Although the relative deviation of P4 soil map for the entire Tai -Lake region is the lowest, substantial differences (i.e., 22-1010%) exist at soil subgroups level. Overall, soil map scale of P02 provides best accuracy for quantifying SOC dynamics of paddy soils in the study region. Considering the soil data availability of. entire China, P1 soil map is also recommended.This study suggested how to select an appropriate scale of input soil data for modeling the carbon cycle of agro-ecosystems. (C) 2016 Elsevier B.V. All rights reserved.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Zhang, Liming UNSPECIFIED UNSPECIFIED UNSPECIFIED Zhuang, Qianlai UNSPECIFIED UNSPECIFIED UNSPECIFIED Zhao, Quanying UNSPECIFIED UNSPECIFIED UNSPECIFIED He, Yujie UNSPECIFIED orcid.org/0000-0001-8261-5399 UNSPECIFIED Yu, Dongsheng UNSPECIFIED UNSPECIFIED UNSPECIFIED Shi, Xuezheng UNSPECIFIED UNSPECIFIED UNSPECIFIED Xing, Shihe UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-278582
DOI:	10.1016/j.agee.2016.01.049
Journal or Publication Title:	Agric. Ecosyst. Environ.
Volume:	222
Page Range:	S. 13 - 23
Date:	2016
Publisher:	ELSEVIER
Place of Publication:	AMSTERDAM
ISSN:	1873-2305
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language GREENHOUSE-GAS EMISSIONS; DNDC MODEL; RICE FIELDS; MANAGEMENT; STORAGE; SENSITIVITY; CALIBRATION; VALIDATION; SIMULATION; DATABASE Multiple languages Agriculture, Multidisciplinary; Ecology; Environmental Sciences Multiple languages
Refereed:	Yes
URI:	http://kups.ub.uni-koeln.de/id/eprint/27858