Do model choice and sample ratios separately or simultaneously influence soil organic matter prediction?
文献类型：期刊论文
| 作者 | John, Kingsley2; Bouslihim, Yassine1; Ofem, Kokei Ikpi3; Hssaini, Lahcen1; Razouk, Rachid1; Okon, Paul Bassey3; Isong, Isong Abraham3; Agyeman, Prince Chapman2; Kebonye, Ndiye Michael2; Qin, Chengzhi4 |
| 刊名 | INTERNATIONAL SOIL AND WATER CONSERVATION RESEARCH
 |
| 出版日期 | 2022-09-01 |
| 卷号 | 10期号:3页码:470-486 |
| 关键词 | Analysis of variance Agriculture Digital soil mapping Predictive mapping Mediterranean |
| ISSN号 | 2095-6339 |
| DOI | 10.1016/j.iswcr.2021.11.0032095-6339 |
| 通讯作者 | John, Kingsley(johnk@af.czu.cz) |
| 英文摘要 | This study was performed to examine the separate and simultaneous influence of predictive models' choice alongside sample ratios selection in soil organic matter (SOM). The research was carried out in northern Morocco, characterized by relatively cold weather and diverse geological conditions. The dataset herein used accounted for 1591 soil samples, which were randomly split into the following ra-tios: 10% (-150 sample ratio), 20% (-250 sample ratio), 35% (-450 sample ratio), 50% (-600 sample ratio) and 95% (-1200 sample ratio). Models herein involved were ordinary kriging (OK), regression kriging (RK), multiple linear regression (MLR), random forest (RF), quantile regression forest (QRF), Gaussian process regression (GPR) and an ensemble model. The findings in the study showed that the accuracy of SOM prediction is sensitive to both predictive models and sample ratios. OK combined with 95% sample ratio performed equally to RF in conjunction with all the sample ratios, as the latter did not show much sensitivity to sample ratios. ANOVA results revealed that RF with a-10% sample ratio could also be optimum for predicting SOM in the study area. In conclusion, the findings herein reported could be instrumental for producing cost-effective detailed and accurate spatial estimation of SOM in other sites. Furthermore, they could serve as a baseline study for future research in the region or elsewhere. Therefore, we recommend conducting series of simulation of all possible combinations between various predictive models and sample ratios as a preliminary step in soil organic matter prediction. (c) 2021 International Research and Training Center on Erosion and Sedimentation, China Water and Power Press, and China Institute of Water Resources and Hydropower Research. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. This is an open access article under the CC BY -NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
| WOS关键词 | CONCORDANCE CORRELATION-COEFFICIENT ; SPATIAL PREDICTION ; INTERPOLATION ; INDICATORS ; ATTRIBUTES ; SIZE |
| 资助项目 | Faculty of Agrobiology, Food and Natural Resources of the Czech University of Life Sciences Prague (CZU)[CZ.02.1.01/0.0/0.0/16_019/000 0845] ; NutRisk grant: European Regional Development Fund ; project Center for the investigation of synthesis and transformation of nutritional substances in the food chain in interaction with potentially harmful substances of anthropogenic origin: comprehensive assessment of soil contamination risks for the qualit[CZ.02.1.01/0.0/0.0/16_019/000 0845] ; [SV20-5-21130] |
| WOS研究方向 | Environmental Sciences & Ecology ; Agriculture ; Water Resources |
| 语种 | 英语 |
| WOS记录号 | WOS:000834171200001 |
| 出版者 | KEAI PUBLISHING LTD |
| 资助机构 | Faculty of Agrobiology, Food and Natural Resources of the Czech University of Life Sciences Prague (CZU) ; NutRisk grant: European Regional Development Fund ; project Center for the investigation of synthesis and transformation of nutritional substances in the food chain in interaction with potentially harmful substances of anthropogenic origin: comprehensive assessment of soil contamination risks for the qualit |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/181902]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | John, Kingsley |
| 作者单位 | 1.Natl Inst Agr Res, Rabat, Morocco 2.Czech Univ Life Sci, Fac Agrobiol Food & Nat Resources, Dept Soil Sci & Soil Protect, Kamycka 129, Prague 16500, Czech Republic 3.Univ Calabar, Fac Agr Forestry & Wildlife Resources Management, Dept Soil Sci, PMB 1115,Etta Agbo Rd, Calabar 540004, Nigeria 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | John, Kingsley,Bouslihim, Yassine,Ofem, Kokei Ikpi,et al. Do model choice and sample ratios separately or simultaneously influence soil organic matter prediction?[J]. INTERNATIONAL SOIL AND WATER CONSERVATION RESEARCH,2022,10(3):470-486. |
| APA | John, Kingsley.,Bouslihim, Yassine.,Ofem, Kokei Ikpi.,Hssaini, Lahcen.,Razouk, Rachid.,...&Qin, Chengzhi.(2022).Do model choice and sample ratios separately or simultaneously influence soil organic matter prediction?.INTERNATIONAL SOIL AND WATER CONSERVATION RESEARCH,10(3),470-486. |
| MLA | John, Kingsley,et al."Do model choice and sample ratios separately or simultaneously influence soil organic matter prediction?".INTERNATIONAL SOIL AND WATER CONSERVATION RESEARCH 10.3(2022):470-486. |
入库方式： OAI收割
来源：地理科学与资源研究所
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