Study on the spatiotemporal variation mechanisms of soil moisture in maize fields
文献类型：期刊论文
| 作者 | Lan, Lihua3,5,6; Zhang, Tingting1,2,3; Wang, Baolin4; He, Fei5,6; Wu, Xiaoyong2; Bao, Junwei4 |
| 刊名 | SCIENTIFIC REPORTS
 |
| 出版日期 | 2025-12-27 |
| 卷号 | 16期号:1页码:2434 |
| 关键词 | Soil moisture variability Phenological stages of maize Environmental indicators Radar-based modeling Machine learning analysis |
| ISSN号 | 2045-2322 |
| DOI | 10.1038/s41598-025-32304-3 |
| 产权排序 | 4 |
| 文献子类 | Article |
| 英文摘要 | Soil Moisture Content (SMC) is crucial for sustaining agricultural productivity, ecosystem health, and climate feedback processes. This study investigates the spatiotemporal variation of SMC during two key maize growth stages using a combined physically-based and data-driven approach, which synergizes Water Cloud vegetation correction, Dubois-Dobson dielectric retrieval. The developed SMC inversion method achieving high accuracy with determination coefficients (R2) of 0.75 in the maturity stage and 0.78 in the filling stage, yielding high-resolution SMC product. Machine learning methods, enhanced by Shapley Additive Explanations (SHAP), were employed to analyze the impacts of environmental factors on SMC based on the high-resolution SMC product. Land surface temperature (LST) was identified as the primary driver of spatial variation during maturity, while elevation dominated during the filling stage. The different levels of SMC in two stages were largely dictated by meteorological factors, but the role of maize was deemed inconsequential on SMC's temporal variation. Furthermore, the relationships between SMC and environmental factors were quantified. SMC exhibits a gradual decrease trend with rising LST, yet this trend escalates sharply when LST surpasses 15 degrees C. An optimal range of Normalized difference vegetation index (NDVI) value, between 0.2 and 0.5, was discovered to be most effective for preserving SMC. This research offers a comprehensive perspective on the drivers of SMC variation, which is pivotal for informed agricultural practices and the enhancement of climate models. |
| URL标识 | 查看原文 |
| WOS关键词 | SPATIAL VARIABILITY ; WATER STORAGE ; VEGETATION ; LAND ; CLIMATE ; PATTERNS ; STRESS ; REGION ; TEMPERATURE ; NETWORKS |
| WOS研究方向 | Science & Technology - Other Topics |
| 语种 | 英语 |
| WOS记录号 | WOS:001666114700001 |
| 出版者 | NATURE PORTFOLIO |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/219740]  |
| 专题 | 陆地水循环及地表过程院重点实验室_外文论文 |
| 通讯作者 | Zhang, Tingting |
| 作者单位 | 1.Hangzhou City Univ, Inst Spatial Informat City Brain, Hangzhou 310015, Peoples R China; 2.Deqing Acad Satellite Applicat, Lab Microwave Spatial Intelligence & Cloud Platfor, Deqing 313200, Peoples R China; 3.Chinese Acad Sci, Aerosp Informat Res Inst, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China; 4.Inner Mongolia Acad Agr & Anim Husb Sci, Hohhot 010031, Peoples R China 5.Univ Chinese Acad Sci UCAS, Coll Resources & Environm, Beijing 100190, Peoples R China; 6.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res IGSNRR, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Lan, Lihua,Zhang, Tingting,Wang, Baolin,et al. Study on the spatiotemporal variation mechanisms of soil moisture in maize fields[J]. SCIENTIFIC REPORTS,2025,16(1):2434. |
| APA | Lan, Lihua,Zhang, Tingting,Wang, Baolin,He, Fei,Wu, Xiaoyong,&Bao, Junwei.(2025).Study on the spatiotemporal variation mechanisms of soil moisture in maize fields.SCIENTIFIC REPORTS,16(1),2434. |
| MLA | Lan, Lihua,et al."Study on the spatiotemporal variation mechanisms of soil moisture in maize fields".SCIENTIFIC REPORTS 16.1(2025):2434. |
入库方式： OAI收割
来源：地理科学与资源研究所
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