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昆虫丰度的季节性变化:将孟加拉国朗布尔地区特定生长阶段指标与天气模式相关联

Seasonal variations of insect abundance: Correlating growth stage-specific metrics with weather patterns in Rangpur Region, Bangladesh.

作者信息

Roy Tapon Kumar, Kabir Mir Md Moniruzzaman, Akter Sanjida, Nayeem Abu, Alam Zakaria, Hasan Md Rokebul, Bari Md Nazmul, Sannal Anamika

机构信息

Entomology Division, Bangladesh Rice Research Institute (BRRI), Gazipur, Bangladesh.

Tuber Crops Research Centre, Bangladesh Agriculture Research Institute, BARI, Gazipur, Bangladesh.

出版信息

Heliyon. 2024 Sep 19;10(18):e38121. doi: 10.1016/j.heliyon.2024.e38121. eCollection 2024 Sep 30.

DOI:10.1016/j.heliyon.2024.e38121
PMID:39347423
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11437843/
Abstract

The disclosure of insect occurrences correlating with meteorological data is pivotal in devising effective management strategies for rice fields. The study collected data on harmful and beneficial insects, along with meteorological variables, for three consecutive rice-growing seasons in 2021 and 2022. Month-wise insect distribution were delineated, with prominent species such as green leafhopper, brown planthopper, white-backed planthopper, rice whorl maggot, damselfly, parasitic wasps and green mirid bug observed consistently. Notably, most of the harmful insects were predominantly present during March-July and September-October. The spatial distribution, further segmented based on the rice-growing seasons, revealing the Aus season's preeminence in hosting harmful insects followed by Aman and Boro. The prevalence of most of the harmful insects were in tillering stage. Beneficial insects, displayed their dominance during specific months, growth stage, emphasizing their potential role in controlling harmful species and their prevalence were increased by increased of harmful insects. Furthermore, the study elucidated the correlation between climatic factors and insect abundance, emphasizing the role of temperature, rainfall and relative humidity. Temperature metrics and relative humidity manifested significant associations with several insects both harmful and beneficial species differently. While rainfall notably correlated with rice bug, short-horned grasshoppers, yellow stem borer, and non-significant association with other insects. The study underscored mutual dependencies between predator and prey species, emphasizing the ecological balance within the agricultural ecosystem. This comprehensive analysis indicated the need for integrated pest management strategies, considering both harmful and beneficial insect dynamics, to promote sustainable practices for optimizing rice production in changing climatic scenarios.

摘要

揭示昆虫发生情况与气象数据之间的关联对于制定有效的稻田管理策略至关重要。该研究在2021年和2022年连续三个水稻种植季节收集了有害昆虫和有益昆虫的数据以及气象变量。按月份划分了昆虫分布情况,始终观察到一些突出的物种,如绿叶蝉、褐飞虱、白背飞虱、稻瘿蚊、豆娘、寄生蜂和绿盲蝽。值得注意的是,大多数有害昆虫主要出现在3月至7月以及9月至10月。基于水稻种植季节进一步细分的空间分布显示,奥氏季在容纳有害昆虫方面最为突出,其次是阿曼季和boro季。大多数有害昆虫在分蘖期最为普遍。有益昆虫在特定月份和生长阶段表现出优势,强调了它们在控制有害物种方面的潜在作用,并且随着有害昆虫数量的增加,它们的数量也有所增加。此外,该研究阐明了气候因素与昆虫数量之间的相关性,强调了温度、降雨和相对湿度的作用。温度指标和相对湿度与几种有害和有益昆虫物种均表现出不同的显著关联。虽然降雨与稻蝽、短角蚱蜢、二化螟显著相关,但与其他昆虫无显著关联。该研究强调了捕食者和猎物物种之间的相互依存关系,强调了农业生态系统内的生态平衡。这一全面分析表明,需要考虑有害和有益昆虫动态的综合虫害管理策略,以促进在不断变化的气候情景下优化水稻生产的可持续做法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d31f/11437843/200cb28edc39/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d31f/11437843/6d1b383ad007/ga1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d31f/11437843/cdb2331e2e2b/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d31f/11437843/200cb28edc39/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d31f/11437843/6d1b383ad007/ga1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d31f/11437843/cdb2331e2e2b/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d31f/11437843/200cb28edc39/gr2.jpg

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本文引用的文献

1
Global insect herbivory and its response to climate change.全球昆虫食草性及其对气候变化的响应。
Curr Biol. 2024 Jun 17;34(12):2558-2569.e3. doi: 10.1016/j.cub.2024.04.062. Epub 2024 May 21.
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The Impact of Climate Change on Agricultural Insect Pests.气候变化对农业害虫的影响。
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Temperature effects on development and fecundity of Brachmia macroscopa (Lepidoptera: Gelechiidae).温度对大斑短痣蛾(鳞翅目:麦蛾科)发育和繁殖力的影响
PLoS One. 2017 Mar 2;12(3):e0173065. doi: 10.1371/journal.pone.0173065. eCollection 2017.
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