A review on digital mapping of soil carbon in cropland: progress, challenge, and prospect
文献类型：期刊论文
| 作者 | Huang, Haili2; Yang, Lin2; Zhang, Lei2; Pu, Yue2; Yang, Chenconghai2; Wu, Qi2; Cai, Yanyan2; Shen, Feixue2; Zhou, Chenghu1,2 |
| 刊名 | ENVIRONMENTAL RESEARCH LETTERS
 |
| 出版日期 | 2022-12-01 |
| 卷号 | 17期号:12页码:27 |
| 关键词 | soil carbon cropland digital soil mapping soil information environmental covariates predictive models |
| ISSN号 | 1748-9326 |
| DOI | 10.1088/1748-9326/aca41e |
| 通讯作者 | Yang, Lin(yanglin@nju.edu.cn) |
| 英文摘要 | Cropland soil carbon not only serves food security but also contributes to the stability of the terrestrial ecosystem carbon pool due to the strong interconnection with atmospheric carbon dioxide. Therefore, the better monitoring of soil carbon in cropland is helpful for carbon sequestration and sustainable soil management. However, severe anthropogenic disturbance in cropland mainly in gentle terrain creates uncertainty in obtaining accurate soil information with limited sample data. Within the past 20 years, digital soil mapping has been recognized as a promising technology in mapping soil carbon. Herein, to advance existing knowledge and highlight new directions, the article reviews the research on mapping soil carbon in cropland from 2005 to 2021. There is a significant shift from linear statistical models to machine learning models because nonlinear models may be more efficient in explaining the complex soil-environment relationship. Climate covariates and parent material play an important role in soil carbon on the regional scale, while on a local scale, the variability of soil carbon often depends on topography, agricultural management, and soil properties. Recently, several kinds of agricultural covariates have been explored in mapping soil carbon based on survey or remote sensing technique, while, obtaining agricultural covariates with high resolution remains a challenge. Based on the review, we concluded several challenges in three categories: sampling, agricultural covariates, and representation of soil processes in models. We thus propose a conceptual framework with four future strategies: representative sampling strategies, establishing standardized monitoring and sharing system to acquire more efficient crop management information, exploring time-series sensing data, as well as integrating pedological knowledge into predictive models. It is intended that this review will support prospective researchers by providing knowledge clusters and gaps concerning the digital mapping of soil carbon in cropland. |
| WOS关键词 | NEAR-INFRARED SPECTROSCOPY ; ARTIFICIAL NEURAL-NETWORK ; ORGANIC-MATTER CONTENTS ; REMOTELY-SENSED DATA ; SPATIAL PREDICTION ; RANDOM FOREST ; SPECTRAL LIBRARY ; REGIONAL-SCALE ; LAND-USE ; REFLECTANCE SPECTROSCOPY |
| 资助项目 | National Natural Science Foundation of China[41971054] ; Leading Funds for the First Class Universities[020914912203] ; Leading Funds for the First Class Universities[020914902302] ; Research Funds for the Frontiers Science Center for Critical Earth Material Cycling, Nanjing University |
| WOS研究方向 | Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences |
| 语种 | 英语 |
| WOS记录号 | WOS:000893187900001 |
| 出版者 | IOP Publishing Ltd |
| 资助机构 | National Natural Science Foundation of China ; Leading Funds for the First Class Universities ; Research Funds for the Frontiers Science Center for Critical Earth Material Cycling, Nanjing University |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/187811]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Yang, Lin |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China 2.Nanjing Univ, Sch Geog & Ocean Sci, Nanjing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Huang, Haili,Yang, Lin,Zhang, Lei,et al. A review on digital mapping of soil carbon in cropland: progress, challenge, and prospect[J]. ENVIRONMENTAL RESEARCH LETTERS,2022,17(12):27. |
| APA | Huang, Haili.,Yang, Lin.,Zhang, Lei.,Pu, Yue.,Yang, Chenconghai.,...&Zhou, Chenghu.(2022).A review on digital mapping of soil carbon in cropland: progress, challenge, and prospect.ENVIRONMENTAL RESEARCH LETTERS,17(12),27. |
| MLA | Huang, Haili,et al."A review on digital mapping of soil carbon in cropland: progress, challenge, and prospect".ENVIRONMENTAL RESEARCH LETTERS 17.12(2022):27. |
入库方式： OAI收割
来源：地理科学与资源研究所
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