{"title":"Bioclimatic variables and their impact on the potential distribution of Brenneria goodwinii in Europe","authors":"Miłosz Tkaczyk","doi":"10.1111/efp.12820","DOIUrl":null,"url":null,"abstract":"<p><i>Brenneria goodwinii</i> is a Gram-negative bacterium associated with the phenomenon of Acute Oak Decline (AOD), which has played a very important role in the decline of oak populations in Europe in recent years. In this paper, the Maxent model was developed to detect the trend in the distribution of <i>B. goodwinii</i> in Europe. Generated from confirmed location data and bioclimatic variables, the Maxent model achieved high predictive accuracy as measured by parameters such as AUC and AUC<sub>diff</sub>. Nineteen bioclimatic variables available on the WorldClim portal for the years 1970–2000 were used to create the model. The generated model allows to determine the most useful bioclimatic variables to assess the maximum entropy of the habitat in terms of the occurrence of <i>B. goodwinii</i>. In addition, the model identified areas of Europe where the probabilities of fit for bacteria are >.7. These areas include Great Britain, France, Belgium, the Netherlands, Germany, Denmark, Spain, Portugal and Italy.</p>","PeriodicalId":55153,"journal":{"name":"Forest Pathology","volume":"53 4","pages":""},"PeriodicalIF":1.3000,"publicationDate":"2023-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Forest Pathology","FirstCategoryId":"97","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/efp.12820","RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"FORESTRY","Score":null,"Total":0}
引用次数: 0
Abstract
Brenneria goodwinii is a Gram-negative bacterium associated with the phenomenon of Acute Oak Decline (AOD), which has played a very important role in the decline of oak populations in Europe in recent years. In this paper, the Maxent model was developed to detect the trend in the distribution of B. goodwinii in Europe. Generated from confirmed location data and bioclimatic variables, the Maxent model achieved high predictive accuracy as measured by parameters such as AUC and AUCdiff. Nineteen bioclimatic variables available on the WorldClim portal for the years 1970–2000 were used to create the model. The generated model allows to determine the most useful bioclimatic variables to assess the maximum entropy of the habitat in terms of the occurrence of B. goodwinii. In addition, the model identified areas of Europe where the probabilities of fit for bacteria are >.7. These areas include Great Britain, France, Belgium, the Netherlands, Germany, Denmark, Spain, Portugal and Italy.
goodwinbrenneria goodwinii是一种与橡树急性衰退(Acute Oak Decline, AOD)有关的革兰氏阴性菌，它在近年来欧洲橡树种群的减少中起着非常重要的作用。本文建立了Maxent模型，用于检测白僵菌在欧洲的分布趋势。Maxent模型由确认的位置数据和生物气候变量生成，通过AUC和AUCdiff等参数测量，实现了很高的预测精度。在WorldClim门户网站上提供的1970-2000年的19个生物气候变量被用来创建模型。生成的模型可以确定最有用的生物气候变量，以评估栖息地的最大熵。此外，该模型还确定了欧洲适合细菌生存的地区。这些地区包括英国、法国、比利时、荷兰、德国、丹麦、西班牙、葡萄牙和意大利。
期刊介绍：
This peer reviewed, highly specialized journal covers forest pathological problems occurring in any part of the world. Research and review articles, short communications and book reviews are addressed to the professional, working with forest tree diseases caused by fungi, bacteria, nematodes, viruses, and phytoplasms; their biology, morphology, and pathology; disorders arising from genetic anomalies and physical or chemical factors in the environment. Articles are published in English.
Fields of interest: Forest pathology, effects of air pollution and adverse environmental conditions on trees and forest ecosystems.
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