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Assessing the Impact of Climate Change on the Distribution of Lime (16srii-B) and Alfalfa (16srii-D) Phytoplasma Disease Using MaxEnt

机译:评估气候变化对石灰(16SRII-B)和苜蓿(16SRII-D)植物植物的影响使用最大值

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摘要

Witches’ broom disease has led to major losses in lime and alfalfa production in Oman. This paper identifies bioclimatic variables that contribute to the prediction of distribution of witches’ broom disease in current and future climatic scenarios. It also explores the expansion, reduction, or shift in the climatic niche of the distribution of the disease across the different geographical areas of the entire country (309,501 km²). The maximum entropy model (MaxEnt) and geographical information system were used to investigate the potential suitability of habitats for the phytoplasma disease. This study used current (1970–2000) and future projected climatic scenarios (2021–2040, 2041–2060, 2061–2080, and 2081–2100) to model the distribution of phytoplasma for lime trees and alfalfa in Oman. Bioclimatic variables were downloaded from WorldClim with ± 60 occurrence points for lime trees and alfalfa. The area under the curve (AUC) was used to evaluate the model’s performance. Quantitatively, the results showed that the mean of the AUC values for lime (16SrII-B) and alfalfa (16SrII-D) future distribution for the periods of 2021–2040, 2041–2060, 2061–2080, and 2081–2100 were rated as “excellent”, with the values for the specified time periods being 0.859, 0.900, 0.931, and 0.913 for 16SrII-B; and 0.826, 0.837, 08.58, and 0.894 for 16SrII-D respectively. In addition, this study identified the hotspots and proportions of the areas that are vulnerable under the projected climate-change scenarios. The area of current (2021–2040) highly suitable distribution within the entire country for 16SrII-D was 19474.2 km2 (7.1%), while for 16SrII-B, an area of 8835 km2 (3.2%) was also highly suitable for the disease distribution. The proportions of these suitable areas are very significant from the available arable land standpoint. Therefore, the results from this study will be of immense benefit and will also bring significant contributions in mapping the areas of witches’ broom diseases in Oman. The results will equally aid the development of new strategies and the formulation of agricultural policies and practices in controlling the spread of the disease across Oman.
机译:巫婆的扫帚病导致了阿曼石灰和苜蓿生产的主要损失。本文识别生物思维变量,有助于预测巫师扫帚病的分布在当前和未来的气候情景中。它还探讨了在整个国家(309,501平方公里)的不同地理区域的疾病分布的气候利基中的扩张,减少或转变。最大熵模型(MAXENT)和地理信息系统用于研究栖息地对植物疾病的潜在适用性。本研究使用了当前(1970-2000)和未来预计的气候情景(2021-2040,2041-2060,2061-2080,2081-2100),以模拟石灰树和阿尔法布植物的分布。从WorldClim下载生物恐星变量,±60次为石灰树和苜蓿的出现点。曲线下的区域(AUC)用于评估模型的性能。定量地,结果表明,评定了2021-2040,2041-2060,2061-2080和2081-2100期间石灰(16SRII-B)和苜蓿(16SRII-D)未来分布的AUC值的平均值作为“优秀”,指定时间段内的值为0.859,0.900,0.931和16SRII-B的0.913;分别为0.826,0.837,08.58和0.894,分别为16SRII-D.此外,本研究确定了在预计的气候变化方案下易受攻击的区域的热点和比例。当前地区(2021-2040)在整个国家内的高度合适的分布为16SRII-D为19474.2 KM2(7.1%),而16SRII-B,面积8835 km2(3.2%)也非常适合该疾病分配。这些合适区域的比例从可用的耕地角度都非常显着。因此,这项研究的结果将是巨大的益处,也将在绘制阿曼的扫帚疾病领域来带来重大贡献。结果同样有助于制定新战略以及在对阿曼控制疾病传播中的农业政策和实践的制定。

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