Assessing pollen beetle dynamics in diversified agricultural landscapes with reduced pesticide management strategies

被引:3
作者
Dovydaitis, Emily [1 ]
Kunze, Thomas [2 ]
Born, Fabian [3 ]
Ewert, Frank [1 ]
Dachbrodt-Saaydeh, Silke [2 ]
Grahmann, Kathrin [1 ,4 ]
机构
[1] Leibniz Ctr Agr Landscape Res ZALF, Muncheberg, Germany
[2] Julius Kuhn Inst JKI, Inst Strategies & Technol Assessment, Fed Res Ctr Cultivated Plants, Kleinmachnow, Germany
[3] Bayer AG Laacher Hof, Monheim, Germany
[4] Leibniz Ctr Agr Landscape Res ZALF, Eberswalder Str 84, D-15374 Muncheberg, Germany
来源
LANDBAUFORSCHUNG-JOURNAL OF SUSTAINABLE AND ORGANIC AGRICULTURAL SYSTEMS | 2023年 / 72卷 / 01期
关键词
rapeseed Brassicanapus digital technologies camera; artificial intelligence; Brassica napus; digital technologies; camera; diversification; flower strips; OILSEED; ABUNDANCE;
D O I
10.5073/LBF.2023.01.03
中图分类号
S [农业科学];
学科分类号
09 ;
摘要
The European Farm to Fork strategy strives to reduce pesticide use and risk by 50% by 2030, preserving agricultural productivity, biodiversity, and human health. Novel research on crop diversification and new field arrangements, supported by digital technologies, offers sustainable innovations for pest control. This study evaluates digital yellow water traps, equipped with a camera and associated artificial intelligence model for continuous pollen beetle monitoring in diversified agricultural landscapes. Data were collected in oilseed rape from three harvest years (20212023) at the experimental site patchCROP, a landscape experiment established to study the effects of spatial and temporal crop diversification measures on yield, ecosystem services, and biodiversity. In patchCROP, crops were planted in smaller, 0.5 ha (72 x 72 m) squares called "patches" with different pesticide management strategies and were compared to surrounding commercial fields. The digital yellow water traps and AI were evaluated and found to be useful for gauging pollen beetle immigration into the crop. Across all years, higher insect pest pressure was recorded in the patches compared to commercial fields but did not necessarily compromise yields. Implementation of pesticide management strategies, including targeted insecticide applications at specific insect pest thresholds, were not associated with reduced yields in patches with flower strips. Future studies should consider examining the role of field size and alternative diversification approaches to fine-tune insecticide reduction strategies at the landscape scale.
引用
收藏
页数:24
相关论文
共 56 条
[1]   An interactive website for analytical method comparison and bias estimation [J].
Bahar, Burak ;
Tuncel, Ayse F. ;
Holmes, Earle W. ;
Holmes, Daniel T. .
CLINICAL BIOCHEMISTRY, 2017, 50 (18) :1025-1029
[2]  
Bartels A., 2023, Leitlinie des integrierten Pflanzenschutzes im Rapsanbau
[3]   Dynamics of pollen beetle (Brassicogethes aeneus) immigration and colonization of oilseed rape (Brassica napus) in Europe [J].
Bick, Emily ;
Sigsgaard, Lene ;
Torrance, Martin T. ;
Helmreich, Salena ;
Still, Laurence ;
Beck, Brittany ;
El Rashid, Rami ;
Lemmich, Jesper ;
Nikolajsen, Thomas ;
Cook, Samantha M. .
PEST MANAGEMENT SCIENCE, 2024, 80 (05) :2306-2313
[4]   Accurate detection and identification of insects from camera trap images with deep learning [J].
Bjerge, Kim ;
Alison, Jamie ;
Dyrmann, Mads ;
Frigaard, Carsten Eie ;
Mann, Hjalte M. R. ;
Hoye, Toke Thomas .
PLOS SUSTAINABILITY AND TRANSFORMATION, 2023, 2 (03)
[5]   How farmers think about insects: perceptions of biodiversity, biodiversity loss and attitudes towards insect-friendly farming practices [J].
Busse, Maria ;
Zoll, Felix ;
Siebert, Rosemarie ;
Bartels, Annette ;
Bokelmann, Anke ;
Scharschmidt, Phillipp .
BIODIVERSITY AND CONSERVATION, 2021, 30 (11) :3045-3066
[6]   Automatic Detection and Monitoring of Insect Pests-A Review [J].
Cardim Ferreira Lima, Matheus ;
Damascena de Almeida Leandro, Maria Elisa ;
Valero, Constantino ;
Pereira Coronel, Luis Carlos ;
Goncalves Bazzo, Clara Oliva .
AGRICULTURE-BASEL, 2020, 10 (05)
[7]   Applications for deep learning in ecology [J].
Christin, Sylvain ;
Hervet, Eric ;
Lecomte, Nicolas .
METHODS IN ECOLOGY AND EVOLUTION, 2019, 10 (10) :1632-1644
[8]  
Core Team R Team A. RC, 2022, R LANG ENV STAT COMP
[9]   Frequency and spatial distribution of knock-down resistance (kdr) to pyrethroids in multiple oilseed rape pest species of the genus Ceutorhynchus [J].
Daum, Eve ;
Brandes, Meike ;
Heimbach, Udo ;
Zimmer, Christoph ;
Slater, Russell ;
Elias, Jan .
PEST MANAGEMENT SCIENCE, 2024, 80 (05) :2314-2324
[10]   Colour choice behaviour in the pollen beetle Meligethes aeneus (Coleoptera: Nitidulidae) [J].
Doering, Thomas F. ;
Skellern, Matthew ;
Watts, Nigel ;
Cook, Samantha M. .
PHYSIOLOGICAL ENTOMOLOGY, 2012, 37 (04) :360-378