A GIS-coupled thermal response model for predicting the population growth potential of the red cotton bug, Dysdercus koenigii (Fabricius) (Hemiptera: Pyrrhocoridae) in India under climate change conditions.

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Vaishnavi A Nankade, Babasaheb B Fand, N V Lavhe, Shivaji H Thube, Shailesh P Gawande, D T Nagrale, S L Borkar, Tini S Pillai, Akash Nikoshe, Y G Prasad
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Abstract

Recently, the red cotton bug has become a significant menace to cotton in India. With the potential for increased habitat suitability due to predicted temperature rise of 2.5 °C under future climate change in India, this pest could become even more severe in certain regions. Addressing the knowledge gap on the temperature-driven population growth of this pest is crucial for developing a climate-resilient pest management strategy. In this study, life history data gathered at various constant temperatures (15 °C-35 °C) were used to estimate temperature thresholds and thermal requirements for the red cotton bug development. Stochastic estimation of life table parameters and validation with real-time weather data were performed. The phenology model, integrated into a geographic information system, projected the future pest status based on SSP126 temperature change scenarios for the year 2050. The temperatures between 8.35 and 10.83 °C were estimated as lower developmental thresholds for various immature life stages. The optimum and upper threshold temperatures estimated for different life stages ranged between 22.14 - 28.32 °C and 35.80-39.08 °C, respectively. Thermal requirements of 447.97° days for life cycle completion were estimated. The optimum immature survival rates (>70%) were observed at temperatures between 25 and 30 °C. The temperature-dependent decrease in generation times from 90.45 days (15 °C) to 25.44 days (35 °C) was observed, whereas maximum fecundity was recorded at 32 °C. Simulation at fluctuating temperatures across different cotton growing locations provided reasonably similar results on potential population increase (finite rate of increase: 0.99-1.04 females/female/day and a generation time of 44.25-83.97 days). Risk mapping highlighted moderate to high suitability (ERI >0.4, GI > 6, and AI >4) of various cotton growing areas under current climate, and projected shifts in suitability under future climate change. The study has generated information valuable for implementing effective and timely pest management strategies for red cotton bug. Integrating the field observations with model outputs can enhance a practical understanding of red cotton bug dynamics.

用于预测气候变化条件下印度红棉蝽(Dysdercus koenigii (Fabricius) Hemiptera: Pyrrhocoridae)种群增长潜力的地理信息系统热反应耦合模型。
最近,红棉虫已成为印度棉花的一大威胁。据预测,印度未来气候变化将导致气温上升 2.5 摄氏度,栖息地的适宜性可能会增加,因此这种害虫在某些地区可能会变得更加严重。解决有关温度驱动的这种害虫种群增长的知识缺口,对于制定适应气候的害虫管理策略至关重要。本研究利用在不同恒定温度(15 °C-35 °C)下收集的生命史数据来估算温度阈值和红棉铃虫发育的热需求。对生命表参数进行了随机估计,并利用实时天气数据进行了验证。物候模型集成到地理信息系统中,根据 SSP126 温度变化情景预测了 2050 年的未来虫害状况。据估计,8.35 至 10.83 °C 之间的温度是各未成熟生命阶段的发育下限。不同生命阶段的最适温度和上限阈值分别为 22.14 - 28.32 ℃ 和 35.80 - 39.08 ℃。估计完成生命周期所需的温度为 447.97°天。在 25 至 30 ° C 的温度范围内观察到了最佳的未成熟成活率(大于 70%)。世代时间随温度的变化而减少,从 90.45 天(15 °C)减少到 25.44 天(35 °C),而在 32 °C时的繁殖率最高。在不同棉花种植地的波动温度下进行模拟,潜在种群增长的结果相当相似(有限增长率:0.99-1.04 个雌性):0.99-1.04 雌虫/雌虫/天,世代时间为 44.25-83.97 天)。风险分布图显示,在当前气候条件下,各棉花种植区的适宜度为中度至高度(ERI >0.4,GI > 6,AI >4),预计在未来气候变化条件下,适宜度将发生变化。该研究提供的信息对实施有效、及时的红棉虫害虫管理策略非常有价值。将实地观测结果与模型输出结果相结合,可加深对红棉蝽动态的实际了解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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