Results 21 to 30 of about 330,119 (322)

Digital mapping of soil organic carbon stocks in the forest lands of Dominican Republic

European Journal of Remote Sensing, 2022
Mapping the spatial distribution of soil organic carbon (SOC) in lands covered by tropical forests is important to understand the relationship and dynamics of SOC in this type of ecosystem.
Efraín Duarte, Erick Zagal, Juan A. Barrera, Francis Dube, Fabio Casco, Alexander J. Hernández   +5 more
doaj   +1 more source

The Effect of Bioclimatic Covariates on Ensemble Machine Learning Prediction of Total Soil Carbon in the Pannonian Biogeoregion

Agronomy, 2023
This study employed an ensemble machine learning approach to evaluate the effect of bioclimatic covariates on the prediction accuracy of soil total carbon (TC) in the Pannonian biogeoregion. The analysis involved two main segments: (1) evaluation of base
Dorijan Radočaj, Mladen Jurišić, Vjekoslav Tadić   +2 more
doaj   +1 more source

Spatial Prediction of Soil Organic Carbon Stock in the Moroccan High Atlas Using Machine Learning

Remote Sensing, 2023
Soil organic carbon (SOC) is an essential component, which soil quality depends on. Thus, understanding the spatial distribution and controlling factors of SOC is paramount to achieving sustainable soil management.
Modeste Meliho, Mohamed Boulmane, Abdellatif Khattabi, Caleb Efelic Dansou, Collins Ashianga Orlando, Nadia Mhammdi, Koffi Dodji Noumonvi   +6 more
doaj   +1 more source

Predictors for digital mapping of forest soil organic carbon stocks in different types of landscape

Soil and Water Research, 2022
Forest soils have a high potential to store carbon and thus mitigate climate change. The information on spatial distribution of soil organic carbon (SOC) stocks is thus very important. This study aims to analyse the importance of environmental predictors
Luboš Borůvka, Radim Vašát, Vít Šrámek, Kateřina Neudertová Hellebrandová, Věra Fadrhonsová, Milan Sáňka, Lenka Pavlů, Ondřej Sáňka, Oldřich Vacek, Karel Němeček, Shahin Nozari, Vincent Yaw Oppong Sarkodie   +11 more
doaj   +1 more source

Covariability of Vibrio cholerae Microdiversity and Environmental Parameters [PDF]

Applied and Environmental Microbiology, 2008
ABSTRACT Fine-scale diversity of natural bacterial assemblages has been attributed to neutral radiation because correspondence between bacterial phylogenetic signals in the natural environment and environmental parameters had not been detected. Evidence that such correspondence occurs is provided for Vibrio cholerae
Young-Gun, Zo, Nipa, Chokesajjawatee, Eiji, Arakawa, Haruo, Watanabe, Anwar, Huq, Rita R, Colwell   +5 more
openaire   +2 more sources

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

Genetic and Environmental Covariation Between Autistic Traits and Behavioral Problems [PDF]

Twin Research and Human Genetics, 2007
AbstractOur objective was to examine the overlap between autistic traits and other behavioral problems in a general population sample, and explore the extent to which this overlap is due to genetic or environmental factors. Youth Self Report (YSR) data were collected in a general population sample of 424 twin pairs at 18 years of age, and their nontwin
Hoekstra, Rosa A., Bartels, Meike, Hudziak, James J., Van Beijsterveldt, Toos C. E. M., Boomsma, Dorret I.   +4 more
openaire   +3 more sources

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

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

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