Modelling the monthly abundance of Culicoides biting midges in nine European countries using Random Forests machine learning

被引：0

作者：

Ana Carolina Cuéllar

Lene Jung Kjær

Andreas Baum

Anders Stockmarr

Henrik Skovgard

Søren Achim Nielsen

Mats Gunnar Andersson

Anders Lindström

Jan Chirico

Renke Lühken

Sonja Steinke

Ellen Kiel

Jörn Gethmann

Franz J. Conraths

Magdalena Larska

Marcin Smreczak

Anna Orłowska

Inger Hamnes

Ståle Sviland

Petter Hopp

Katharina Brugger

Franz Rubel

Thomas Balenghien

Claire Garros

Ignace Rakotoarivony

Xavier Allène

Jonathan Lhoir

David Chavernac

Jean-Claude Delécolle

Bruno Mathieu

Delphine Delécolle

Marie-Laure Setier-Rio

Bethsabée Scheid

Miguel Ángel Miranda Chueca

Carlos Barceló

Javier Lucientes

Rosa Estrada

Alexander Mathis

Roger Venail

Wesley Tack

Rene Bødker

机构：

[1] National Veterinary Institute,Division for Diagnostics and Scientific Advice

[2] Technical University of Denmark (DTU),Department of Applied Mathematics and Computer Science

[3] Technical University of Denmark (DTU),Department of Agroecology

[4] Aarhus University, Entomology and Plant Pathology

[5] Roskilde University,Department of Science and Environment

[6] National Veterinary Institute (SVA),Faculty of Mathematics, Informatics and Natural Sciences

[7] Universität Hamburg,Department of Biology and Environmental Sciences

[8] Bernhard Nocht Institute for Tropical Medicine,Institute of Epidemiology

[9] Carl von Ossietzky University,Department of Virology

[10] Friedrich-Loeffler-Institut,Unit of Veterinary Public Health and Epidemiology

[11] National Veterinary Research Institute,Applied Zoology and Animal Conservation Research Group

[12] Norwegian Veterinary Institute,Department of Animal Pathology

[13] University of Veterinary Medicine,Institute of Parasitology, National Centre for Vector Entomology, Vetsuisse FacultyInstitute of Parasitology, National Centre for Vector Entomology, Vetsuisse Faculty

[14] CIRAD,undefined

[15] UMR ASTRE,undefined

[16] IAV Hassan II,undefined

[17] Unité MIMC,undefined

[18] Institute of Parasitology and Tropical Pathology of Strasbourg,undefined

[19] UR7292,undefined

[20] Université de Strasbourg,undefined

[21] EID Méditerranée,undefined

[22] University of the Balearic Islands,undefined

[23] University of Zaragoza,undefined

[24] University of Zürich,undefined

[25] Avia-GIS NV,undefined

[26] Meise Botanic Garden,undefined

来源：

Parasites & Vectors | / 13卷

关键词：

abundance; Random Forest machine learning; Spatial predictions; Europe; Environmental variables; seasonality;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

引用

共 40 条

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