...
首页> 外文期刊>Ecological Modelling >Predicting the impact of climate change on regional and seasonal abundance of the mealybug Phenacoccus solenopsis Tinsley (Hemiptera: Pseudococcidae) using temperature-driven phenology model linked to GIS
【24h】

Predicting the impact of climate change on regional and seasonal abundance of the mealybug Phenacoccus solenopsis Tinsley (Hemiptera: Pseudococcidae) using temperature-driven phenology model linked to GIS

机译:使用与GIS链接的温度驱动物候模型预测气候变化对粉虱Phenacoccus solenopsis Tinsley(Hemiptera:Pseudococcidae)的区域和季节性丰度的影响

获取原文
获取原文并翻译 | 示例
           

摘要

The mealybug Phenacoccus solenopsis Tinsley (Hemiptera: Pseudococcidae) is a highly invasive and polyphagous pest of global incidence. The fundamental hypothesis of the present study was that the temperature variations due to global climate change may affect seriously the future distribution and abundance of P. solenopsis, which might further aggravate the crop yield losses. We employed a temperature-based phenology model of P. solenopsis in a geographic information system for mapping population growth potentials of P. solenopsis. The three risk indices viz., establishment risk index, generation index and activity index were computed using interpolated temperature data from worldclim database for current (2000) and future (2050) climatic conditions. The daily minimum and maximum temperature data from four selected weather stations in India were used for analysing within-year variation of pest population. A linear relationship was established between the activity indices and yield losses at various locations reported in literatures for predicting the future trend of yield loss due to climate change. The results revealed that, under current temperature conditions P. solenopsis can complete >4.0 generations per year on ~80% of the global cotton production areas. Economic losses are likely to occur in areas where at least 8.0 generations can develop in a year; under current climate ~40% areas fall under this category. The increased geographical suitability at higher latitudes in cotton production areas, additional 2.0 generations per year, and 4.0 fold increase of population abundance of P. solenopsis are expected in tropical and sub-tropical cotton areas of Brazil, South Africa, Pakistan and India due to predicted climate change. Analysis of within year population increase at various selected locations in India revealed that, P. solenopsis attained maximum potential population increase during the major cotton growing season (May-June to October-November). On the other hand, the innate ability of P. solenopsis population to increase reduced considerably during off season and cooler winter months. The increased pest activity of P. solenopsis due to climate change may intensify the losses in cotton yield, with forecasted losses in India to increase from existing losses of million US$ 1217.10 to future losses of million US$ 1764.85 by the year 2050. Here, we illustrate the possible impact of climate change on future P. solenopsis exacerbation based on temperature-driven population studies, which will help in undertaking agro-ecoregion specific management strategies.
机译:粉虱Phenacoccus solenopsis Tinsley(半翅目:Pseudococcidae)是一种具有高侵害性和多食性的全球害虫。本研究的基本假设是,由于全球气候变化而引起的温度变化可能严重影响茄果疫霉的未来分布和丰度,这可能进一步加剧农作物的产量损失。我们在地理信息系统中采用了基于温度的体育疫霉的物候模型来绘制体育疫霉的种群增长潜力。使用Worldclim数据库中针对当前(2000年)和未来(2050年)气候条件的内插温度数据,计算了三个风险指数,即机构风险指数,发电指数和活动指数。来自印度四个选定气象站的每日最低和最高温度数据用于分析有害生物种群的年内变化。在文献中报道的各个位置的活动指数与产量损失之间建立了线性关系,以预测由于气候变化导致的产量损失的未来趋势。结果表明,在当前的温度条件下,在全球约80%的棉花生产地区,茄果假单胞菌每年可完成> 4.0代。一年内至少可发展8.0代的地区可能会发生经济损失;在当前气候下,约40%的地区属于此类。由于以下原因,预计在巴西,南非,巴基斯坦和印度的热带和亚热带棉花地区,棉花生产地区较高纬度的地理适应性将提高,每年增加2.0世代,而南美白对虾的种群数量增加4.0倍。预测的气候变化。对印度各个选定地点的年内人口增长的分析表明,在主要的棉花生长季节(5月至6月至10月至11月),茄果假单胞菌获得了最大的潜在人口增长。另一方面,在淡季和冬季凉爽的月份中,狼疮疫霉菌种群增加的先天能力大大降低。气候变化引起的茄果疫霉病虫害活动增加可能加剧棉花单产的损失,到2050年,印度的损失预测将从现有的1217.10万美元增加到未来的1764.85万美元。基于温度驱动的人口研究,我们说明了气候变化可能对日疫病加剧的可能影响,这将有助于采取针对农业生态区的特定管理策略。

著录项

相似文献

  • 外文文献
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号