Results 91 to 100 of about 3,769,150 (256)

Environmental drivers influencing the ambrosia beetle community: The primary role of geographic and climatic drivers in chestnut‐growing areas

Agricultural and Forest Entomology, EarlyView.
Ethanol‐baited traps were placed in cultivated chestnut orchards (a) and mixed environments with assorted tree composition (b), over a 2‐year monitoring period in two valleys (NW Italy). A total of 118,286 ambrosia beetles was collected, representing six species.
Eleonora Vittoria Fontana, Chiara Ferracini   +1 more
wiley   +1 more source

Considerations of Accuracy and Uncertainty with Kriging Surrogate Models in Single-Objective Electromagnetic Design Optimization

, 2007
The high computational cost of evaluating objective functions in electromagnetic optimal design problems necessitates the use of cost-effective techniques.
Hawe, G., Sykulski, J.K.
core  

Using kriging and co-kriging to predict distributional areas of Kilka species (Clupeonella spp.) in the southern Caspian Sea

International Journal of Aquatic Biology, 2017
Understanding ecological and anthropogenic drivers of fish population dynamics and achieving a sustainable yield requires detailed studies on habitat selection and spatial distribution.
Kaveh Amiri, Nader Shabanipour, Soheil Eagderi   +2 more
doaj  

Spatiotemporal analysis of rabies in cattle in central Mexico

Geospatial Health, 2019
Spatial epidemiology of bat-transmitted rabies in cattle has been limited to spatial distribution of cases, an approach that does not identify hidden patterns and the spread resulting in outbreaks in endemic and susceptible areas.
Isabel Bárcenas-Reyes, Diana Paulina Nieves-Martínez, José Quintín Cuador-Gil, Elizabeth Loza-Rubio, Sara González-Ruíz, Germinal Jorge Cantó-Alarcón, Feliciano Milian-Suazo   +6 more
doaj   +1 more source

Structured machine learning modeling to support conservation of deep‐sea benthic biodiversity

Conservation Biology, EarlyView.
Abstract Biodiversity monitoring programs need to deliver accurate, timely, and actionable predictions. To establish a predictive monitoring program for deep‐sea benthos of the Santos Basin, Brazil, we developed a two‐stage structured model that allowed comparison of biodiversity predictions obtained from environmental simulations (2M‐Sim).
Gustavo Fonseca, Danilo C. Vieira, Juliane C. Carneiro, Renato S. Carreira, Milena Ceccopieri, Thais N. Corbisier, Adriana Galindo Dalto, Alberto G. Figueiredo Jr., Fabiane Gallucci, Paula Gheller, Simone Brito de Jesus, Helena Passeri Lavrado, Letícia Lazzari, Eduardo Hilzendeger Marcon, Daniel Leite Moreira, Rafael Bendayan de Moura, Ellen Pape, Ana Cláudia Aoki Santarosa, João Regis dos Santos Filho, Silvia Helena de Mello e Sousa, Thaisa Marques Vicente, Luciana Erika Yaginuma, Cinthia Yamashita, Wandrey Watanabe   +23 more
wiley   +1 more source

Integrating Core Porosity and Well Logging Interpretations for Multivariate Permeability Modeling through Ordinary Kriging and Co-Kriging Algorithms

, 2018
Estimation of core permeability as a function of well logging records is a pivotal task in reservoir characterization as it is affected by data sparseness, distinct scales, various sources, and lithology structures.
Watheq J. Al-Mudhafar
core   +1 more source

Prediction of oil-bearing single sandbody by 3D geological modeling combined with seismic inversion

Petroleum Exploration and Development, 2009
The prediction of geometry and distribution for oil-bearing single sandbody is an important task in fine reservoir characterization. According to the geologic feature, quality of seismic data, and the study purposes of G Oilfield in Bohai Bay Basin ...
Wu Jian, Li Fanhua
doaj   +1 more source

Reconnaissance‐Scale Methods for the Identification of Groundwater Discharge to Streams

Groundwater Monitoring &Remediation, EarlyView.
Abstract Identifying groundwater discharge locations is critical for understanding and monitoring groundwater contributions to streams in terms of water quantity and quality. Streams and rivers are under increasing strain from factors, including increased urbanization, agricultural land use, groundwater extraction, and climate change, which can alter ...
Corey M. Zanatta, Andrew J. Wiebe, David L. Rudolph   +2 more
wiley   +1 more source

Kriging assisted design of a synchronous superconducting generator with YBCO windings

, 2009
This paper describes the applicability of a kriging assisted method to the design of a synchronous generator with a high temperature superconducting (HTS) rotor winding.
Lukasik, B., Goddard, K. F., Sykulski, J. K., Rotaru, M. D.   +3 more
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Perbandingan Metode Interpolasi Spasial Ordinary Kriging dan Ordinary Co – kriging Pada Interpolasi Data Fasilitas Kebutuhan Di Wilayah Kota Surabaya [PDF]

, 2011
Faktor fasilitas kebutuhan kota merupakan salah satu tolak ukur dalam perkembangan kota. Keterbatasan alat serta human error dalam mendeteksi dan mencatat data membuat ketidaklengkapan sumber informasi yang diperoleh dari data tersebut. Metode yang dapat
Dianati, YusrinaNur
core