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GIS-Based Tool for Pest Specific Area-Wide Planning of Crop Rotation Distance with Land Use Data.
Schieler, Manuela; Riemer, Natalia; Racca, Paolo; Kleinhenz, Benno; Saucke, Helmut; Veith, Michael; Meese, Bernd.
Afiliação
  • Schieler M; Central Institute for Decision Support Systems in Crop Protection, Rüdesheimer Str. 60-68, D-55545 Bad Kreuznach, Germany.
  • Riemer N; Department of Biogeography, Faculty of Regional and Environmental Sciences, Trier University, Universitätsring 15, D-54286 Trier, Germany.
  • Racca P; Section of Ecological Plant Protection, Faculty of Organic Agricultural Sciences, University of Kassel, Nordbahnhofstr. 1a, D-37213 Witzenhausen, Germany.
  • Kleinhenz B; Central Institute for Decision Support Systems in Crop Protection, Rüdesheimer Str. 60-68, D-55545 Bad Kreuznach, Germany.
  • Saucke H; Central Institute for Decision Support Systems in Crop Protection, Rüdesheimer Str. 60-68, D-55545 Bad Kreuznach, Germany.
  • Veith M; Section of Ecological Plant Protection, Faculty of Organic Agricultural Sciences, University of Kassel, Nordbahnhofstr. 1a, D-37213 Witzenhausen, Germany.
  • Meese B; Department of Biogeography, Faculty of Regional and Environmental Sciences, Trier University, Universitätsring 15, D-54286 Trier, Germany.
Insects ; 15(4)2024 Apr 04.
Article em En | MEDLINE | ID: mdl-38667379
ABSTRACT
Crop rotation is an important strategy for pest reduction. For mono-, or oligophagous pests that overwinter at a previously infested site, crop rotation means that the pests must find new host crop sites in the following year, and it is more efficient if a pest-specific distance is applied. Here, we report the development of a GIS-based tool for efficient cultivation planning using the example of the pest complex pea moth (Cydia nigricana) and grain and green peas (Pisum sativum). Monitoring data for four consecutive years (2016-2019) from 513 sites were used. Infestation of pea seeds and the distance to the previous year's pea sites were recorded. An adjustable Python script was developed by means of infestation-distance-correlation as a pest and crop-specific minimum migration distance (MD). The output of the tool is a risk map as decision support for cultivation planning. It shows different risk buffers with distances from 1261 m to 1825 m, depending on the cultivation type. The web tool is easily adjustable to other pests and crops anywhere in the world. The tool helps to prevent damages caused by agricultural, mono-, or oligophagous insect pests and consequently reduces pesticide applications for the benefit of the environment and biodiversity.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article