Results 21 to 30 of about 861 (182)

Australian soil microbiome: A first sightseeing regional prediction driven by cycles of soil temperature and pedogenic variations

Molecular Ecology, Volume 32, Issue 23, Page 6243-6259, December 2023., 2023
Abstract Declines in soil multifunctionality (e.gsoil capacity to provide food and energy) are closely related to changes in the soil microbiome (e.g., diversity) Determining ecological drivers promoting such microbiome changes is critical knowledge for protecting soil functions.
Vanessa Pino, Mario Fajardo, Alex McBratney, Budiman Minasny, Neil Wilson, Chris Baldock   +5 more
wiley   +1 more source

3–4D soil model as challenge for future soil research: Quantitative soil modeling based on the solid phase

Journal of Plant Nutrition and Soil Science, Volume 185, Issue 6, Page 720-744, December 2022., 2022
Abstract A 3–4D soil model represents a logical step forward from one‐dimensional soil columns (1D), two‐dimensional soil maps (2D), and three‐dimensional soil volumes (3D) toward dynamic soil models (4D), with time as the fourth dimension. The challenge is to develop modeling tools that account for the states of soil properties, including the spatial ...
Horst H. Gerke, Hans‐Jörg Vogel, Tobias K.D. Weber, W. Marijn van der Meij, Thomas Scholten   +4 more
wiley   +1 more source

Assessment of global, national and regional‐level digital soil mapping products at different spatial supports

European Journal of Soil Science, Volume 73, Issue 5, September–October 2022., 2022
Abstract Digital soil mapping provides estimates of soil properties and, in turn, an understanding of the spatial variation in soil across landscapes. In recent years, several digital soil mapping products have been released across the world. An end user in New South Wales (NSW), Australia, could choose between a global product (SoilGrids), a national ...
Si Yang Han, Patrick Filippi, Kanika Singh, Brett M. Whelan, Thomas F. A. Bishop   +4 more
wiley   +1 more source

Mapping depth to Pleistocene sand with Bayesian generalized linear geostatistical models

European Journal of Soil Science, Volume 73, Issue 1, January–February 2022., 2022
Abstract Spatial soil applications frequently involve binomial variables. If relevant environmental covariates are available, using a Bayesian generalized linear model (BGLM) might be a solution for mapping such discrete soil properties. The geostatistical extension, a Bayesian generalized linear geostatistical model (BGLGM), adds spatial dependence ...
Luc Steinbuch, Dick J. Brus, Gerard B. M. Heuvelink   +2 more
wiley   +1 more source

Digital soil mapping in the Bara district of Nepal using kriging tool in ArcGIS. [PDF]

PLoS One, 2018
Digital soil mapping has been widely used to develop statistical models of the relationships between environmental variables and soil attributes. This study aimed at determining and mapping the spatial distribution of the variability in soil chemical ...
Panday D, Maharjan B, Chalise D, Shrestha RK, Twanabasu B.   +4 more
europepmc   +4 more sources

Componentes principais como preditores no mapeamento digital de classes de solos Principal components as predictor variables in digital mapping of soil classes

Ciência Rural, 2011
Tecnologias disponíveis para a observação da Terra oferecem uma grande gama de informações sobre componentes ambientais que, por estarem relacionadas com a formação dos solos, podem ser usadas como variáveis preditoras no Mapeamento Digital de Solos (MDS)
Alexandre ten Caten, Ricardo Simão Diniz Dalmolin, Fabrício de Araújo Pedron, Maria de Lourdes Mendonça Santos   +3 more
doaj   +1 more source

Extrapolação das relações solo-paisagem a partir de uma área de referência Extrapolation of soil-landscaperelationship from a reference area

Ciência Rural, 2011
O objetivo deste estudo foi aplicar uma técnica automatizada de mapeamento de solos a partir de modelos preditivos ajustados em uma área de referência e, posteriormente, aplicados em áreas próximas de mesmas relações solo-paisagem.
Alexandre ten Caten, Ricardo Simão Diniz Dalmolin, Fabrício de Araújo Pedron, Maria de Lourdes Mendonça Santos   +3 more
doaj   +1 more source

The use of near infrared (NIR) spectroscopy to improve soil mapping at the farm scale [PDF]

, 2008
The creation of fine resolution soil maps is hampered by the increasing costs associated with conventional laboratory analyses of soil. In this study, near infrared (NIR) reflectance spectroscopy was used to reduce the number of conventional soil ...
Stenberg, Bo, Söderström, Mats, Wetterlind, Johanna   +2 more
core   +1 more source

Machine learning with GA optimization to model the agricultural soil-landscape of Germany: An approach involving soil functional types with their multivariate parameter distributions along the depth profile [PDF]

, 2021
Societal demands on soil functionality in agricultural soil-landscapes are confronted with yield losses and environmental impact. Soil functional information at national scale isrequired to address these challenges.
Don, Axel, Gebauer, Anika, Ließ, Mareike   +2 more
core   +2 more sources

Regenerative agriculture and integrative permaculture for sustainable and technology driven global food production and security

Agronomy Journal, Volume 113, Issue 6, Page 4541-4559, November/December 2021., 2021
Abstract A growing world population and increases in food and energy consumption have placed production agriculture in a difficult situation. The rapid growth in food production through specialized operations such as monoculture cropping systems has aligned to satisfy increases in demand for food and fiber.
Everald McLennon, Biswanath Dari, Gaurav Jha, Debjani Sihi, Vanaja Kankarla   +4 more
wiley   +1 more source