Results 31 to 40 of about 906 (197)
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 +5 more
wiley +1 more source
during the first years of a child's life, he grows intensively, perceives and learns about the world around him, all the systems of his child's body are actively developing, in particular, it is worth noting the muscular and bone systems that form the ...
Ulyana Prusiazhnyk, Andriy Vovkanych
doaj +1 more source
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 +4 more
wiley +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]
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 +2 more
core +2 more sources
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 +4 more
wiley +1 more source
Mapping depth to Pleistocene sand with Bayesian generalized linear geostatistical models
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 +2 more
wiley +1 more source
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 +4 more
wiley +1 more source
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 +3 more
doaj +1 more source
The use of near infrared (NIR) spectroscopy to improve soil mapping at the farm scale [PDF]
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 +2 more
core +1 more source
An integrated spatial econometric approach in valuing soil conservation using contingent valuation
Abstract The integration of soil value in agronomic micro‐level decision‐making and macro‐scale policy development has grown immensely in recent years. Major threats to soil resources and their impact on human well‐being require a comprehensive estimation of soil's economic worth, highlighting the need for sustainable and pragmatic conservation ...
Matthew Oliver Ralp Dimal, Victor Jetten
wiley +1 more source

