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| 1 | Do model choice and sample ratios separately or simultaneously influence soil organic matter prediction?显示文摘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 ratios: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. | Kingsley John Yassine Bouslihim Kokei Ikpi Ofem Lahcen Hssaini Rachid Razouk Paul Bassey Okon Isong Abraham Isong Prince Chapman Agyeman Ndiye Michael Kebonye Chengzhi Qin | 2022 | International Soil and Water Conservation Research2022，10，3： | 1 |
| 2 | Ortho- static function after renal sympathetic denervation in patients with resistant hypertension 显示文摘 | LENSKI M MAHFOUD F RAZOUK A | 2013 | Int J Cardiol2013，169，6： | 1 |
| 3 | Determination of trace elements in Syrian medicinal plants and their infusions by energy dispersive X-ray fluorescence and total reflection X-ray fluorescence spectrometry显示文摘 | Khuder A Sawan M K Karjou J Razouk A K | | 0，，： | 1 |
| 4 | The relationship between thelength of orthodontic treatm ent and p a tie n t显示文摘 | Royko A Denes Z Razouk G | | F o g o rv S z0，92，3： | 1 |
| 5 | Orthostatic function after renal sympathetic denervation in patients with resistant hypertension显示文摘 | Matthias Lenski Felix Mahfoud Amjad Razouk Christian Ukena Denise Lenski Christine Barth Dominik Linz Ulrich Laufs Ingrid Kindermann Michael B?hm | 2013 | International Journal of Cardiology2013，，6： | 1 |
| 6 | Dependence of interface state density on silicon thermal oxidation process variables 显示文摘 | Razouk R R Deal B E | 1979 | Journal of the Electrochemical Society1979，126，9： | 1 |
| 7 | The optimal fontan connection:a growing extracardiac,lateral tunnel with pedicled pericardium 显示文摘 | GUNDRY S R RAZOUK A J | 1991 | Journal of Thoracic and Cardiovascular Surgery1991，114，： | 1 |
| 8 | YIELD AND FRUIT QUALITY OF ALMOND,PEACH AND PLUM UNDER REGULATED DEFICIT IRRIGATION显示文摘The effects of regulated deficit irrigation(RDI)on the performance of almond cv.Tuono,peach cv.JH-Hall and plum cv.Stanley were assessed on the Saiss Plain(NW,Morocco)over three consecutive growing seasons(2011–2013).Irrigation treatments consisted of a control,irrigation applied to fully satisfy crop water requirements(100%ETC),and two RDI treatments,irrigation applied to 75%ETC(RDI-75)and 50%ETC(RDI-50).These three treatments were applied during fruitgrowth slowdown periods corresponding to Stages II and III in almond and Stage II in peach and plum.Yield and fruit quality traits were determined.The effect of RDI differed between species.Yield and fruit size were reduced significantly only in peach under RDI-50.Fruit quality improved in this species in the first year of the experiment,with an increase of sugar/acid ratio and polyphenol content.Plum quality also improved but the effects were significant only in the second and third years.Similar results were recorded in almond kernel,but their epidermal grooves were deeper under RDI-50,and this may have affected their commercial value.It is concluded that water can be saved during the fruitgrowth slowdown period by up to 25%in peach and 50%in almond and plum with improvements in fruit quality without affecting total yield. | Rachid RAZOUK Abdellah KAJJIAnas HAMDANI Jamal CHARAFI Lahcen HSSAINI Said BOUDA | 2021 | Frontiers of Agricultural Science and Engineering2021，8，4： | 0 |
| 9 | Mapping soil nutrients via different covariates combinations:theory and an example from Morocco显示文摘Background:Mapping of soil nutrients using different covariates was carried out in northern Morocco.This study was undertaken in response to the region’s urgent requirement for an updated soil map.It aimed to test various covariates combinations for predicting the variability in soil properties using ordinary kriging and kriging with external drift.Methods:A total of 1819 soil samples were collected at a depth of 0–40 cm using the 1-km grid sampling method.Samples were screened for their pH,soil organic matter(SOM),potassium(K_(2)O),and phosphorus(P_(2)O_(5))using standard laboratory protocols.Terrain attributes(T)computed using a 30-m resolution digital elevation model,bioclimatic data(C),and vegetation indices(V)were used as covariates in the study.Each targeted soil property was modeled using covariates separately and then combined(e.g.,pH~T,pH~C,pH~V,and pH~T+C+V).k=tenfold cross-validation was applied to examine the performance of each employed model.The statistical parameter RMSE was used to determine the accuracy of different models.Results:The pH of the area is slightly above the neutral level with a corresponding 7.82%of SOM,290.34 ppm of K_(2)O,and 100.86 ppm of P_(2)O_(5).This was used for all the selected targeted soil properties.As a result,the studied soil properties showed a linear relationship with the selected covariates.pH,SOM,and K 2O presented a moderate spatial autocorrelation,while P2O5 revealed a strong autocorrelation.The cross-validation result revealed that soil pH(RMSE=0.281)and SOM(RMSE=9.505%)were best predicted by climatic variables.P_(2)O_(5)(RMSE=106.511 ppm)produced the best maps with climate,while K_(2)O(RMSE=209.764 ppm)yielded the best map with terrain attributes.Conclusions:The findings suggest that a combination of too many environmental covariates might not provide the actual variability of a targeted soil property.This demonstrates that specific covariates with close relationships with certain soil properties might perform better than the compilation of different environmental covariates,introducing errors due to randomness.In brief,the approach of the present study is new and can be inspiring to decision-makers in the region and other world areas as well. | Kingsley John Yassine Bouslihim Isong Abraham Isong Lahcen Hssaini Rachid Razouk Ndiye M.Kebonye Prince C.Agyeman Vit Penížek Tereza Zádorová | 2022 | Ecological Processes2022，11，1： | 0 |
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