Results 11 to 20 of about 170,155 (161)

Improving the spatial prediction of soil organic carbon using environmental covariates selection: A comparison of a group of environmental covariates

CATENA, 2022
Abstract In the digital soil mapping (DSM) framework, machine learning models quantify the relationship between soil observations and environmental covariates. Generally, the most commonly used covariates (MCC; e.g., topographic attributes and single-time remote sensing data, and legacy maps) were employed in DSM studies. Additionally, remote sensing
Mojtaba Zeraatpisheh, Younes Garosi, Hamid Reza Owliaie, Shamsollah Ayoubi, Ruhollah Taghizadeh-Mehrjardi, Thomas Scholten, Ming Xu   +6 more
openaire   +1 more source

Geospatial Modelling for Delineation of Crop Management Zones Using Local Terrain Attributes and Soil Properties

Remote Sensing, 2022
Defining nutrient management zones (MZs) is crucial for the implementation of site-specific management. The determination of MZs is based on several factors, including crop, soil, climate, and terrain characteristics.
Roomesh Kumar Jena, Siladitya Bandyopadhyay, Upendra Kumar Pradhan, Pravash Chandra Moharana, Nirmal Kumar, Gulshan Kumar Sharma, Partha Deb Roy, Dibakar Ghosh, Prasenjit Ray, Shelton Padua, Sundaram Ramachandran, Bachaspati Das, Surendra Kumar Singh, Sanjay Kumar Ray, Amnah Mohammed Alsuhaibani, Ahmed Gaber, Akbar Hossain   +16 more
doaj   +1 more source

Using Udometric Network Data to Estimate an Environmental Covariate [PDF]

AIP Conference Proceedings, 2011
Many hydrological and ecological studies recognize the importance of characterizing the temporal and spatial variability of precipitation. In this study, geostatistical methodologies were developed in order to estimate a hydro‐meteorological factor by (re)building the space‐time distribution of the precipitation associated to monthly averages in a ...
A. Manuela Gonçalves, Marco Costa, Theodore E. Simos, George Psihoyios, Ch. Tsitouras, Zacharias Anastassi   +5 more
openaire   +3 more sources

Improving 3D Digital Soil Mapping Based on Spatialized Lab Soil Spectral Information

Remote Sensing, 2023
Readily available environmental covariates in current digital soil mapping usually do not indicate the spatial differences between deep soil attributes.
Zheng Sun, Feng Liu, Decai Wang, Huayong Wu, Ganlin Zhang   +4 more
doaj   +1 more source

Genetic and environmental influences on rumination and its covariation with depression [PDF]

Cognition and Emotion, 2014
This study examined the extent to which rumination and depression share genetic and environmental influences in a community sample of adult twins (N=663). Twins completed multiple rumination questionnaires, a depressive symptoms questionnaire and a diagnostic interview.
Daniel P, Johnson, Mark A, Whisman, Robin P, Corley, John K, Hewitt, Naomi P, Friedman   +4 more
openaire   +2 more sources

Digital Mapping of Soil Organic Carbon Using Machine Learning Algorithms in the Upper Brahmaputra Valley of Northeastern India

Land, 2023
Soil Organic Carbon (SOC) is a crucial indicator of ecosystem health and soil quality. Machine learning (ML) models that predict soil quality based on environmental parameters are becoming more prevalent.
Amit Kumar, Pravash Chandra Moharana, Roomesh Kumar Jena, Sandeep Kumar Malyan, Gulshan Kumar Sharma, Ram Kishor Fagodiya, Aftab Ahmad Shabnam, Dharmendra Kumar Jigyasu, Kasthala Mary Vijaya Kumari, Subramanian Gandhi Doss   +9 more
doaj   +1 more source

Genetic and Environmental Contributions to the Covariation Between Cardiometabolic Traits [PDF]

Journal of the American Heart Association, 2018
Background The variation and covariation for many cardiometabolic traits have been decomposed into genetic and environmental fractions, by using twin or single‐nucleotide polymorphism ( SNP ) models.
Chen X., Kuja-Halkola R., Chang Z., Karlsson R., Hägg S., Pedersen N.L., Magnusson P.K.E., Svensson P.   +7 more
openaire   +5 more sources

Mapping soil organic matter content using Sentinel-2 synthetic images at different time intervals in Northeast China

International Journal of Digital Earth, 2023
Mapping soil organic matter (SOM) content has become an important application of digital soil mapping. In this study, we processed all Sentinel-2 images covering the bare-soil period (March to June) in Northeast China from 2019 to 2022 and integrated the
Chong Luo, Wenqi Zhang, Xinle Zhang, Huanjun Liu   +3 more
doaj   +1 more source

Using LISREL to analyze genetic and environmental covariance structure [PDF]

Behavior Genetics, 1986
Describes a method in which the linear structural relationships (LISREL) computer program is used for the genetic analysis of covariance structure. The method is illustrated with simulated and published twin data, including an analysis of twin data by N. G. Martin et al (1981) on psychomotor performance during alcohol intoxication.
Boomsma, D.I., Molenaar, P.C.M.
openaire   +5 more sources

Effects of environmental and physiological covariates on sex differences in unconditioned and conditioned anxiety and fear in a large sample of genetically heterogeneous (N/Nih-HS) rats

Behavioral and Brain Functions, 2011
Physiological and environmental variables, or covariates, can account for an important portion of the variability observed in behavioural/physiological results from different laboratories even when using the same type of animals and phenotyping ...
López-Aumatell Regina, Martínez-Membrives Esther, Vicens-Costa Elia, Cañete Toni, Blázquez Gloria, Mont-Cardona Carme, Johannesson Martina, Flint Jonathan, Tobeña Adolf, Fernández-Teruel Alberto   +9 more
doaj   +1 more source