Dothistroma needle blight

Barnes, Irene; Nest, Ariska van der; Granados, Ginna M.; Wingfield, Michael J.

doi:10.1016/b978-0-323-85042-1.00008-2

Cited by 8 publications

(10 citation statements)

References 100 publications

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“…The significant increase in area of pine forests at risk of BSNB will only be realized following the introduction of the pathogen to these regions. Whilst inter-continental dissemination via wind-blown ascospores is a possibility, as has occurred with D. septosporum (Barnes et al, 2022), introduction via anthropogenic means on infected planting stock is a likely pathway (Santini et al, 2013). The model outputs emphasize the critical importance for these regions of maintaining strict biosecurity measures, as the accidental introduction of L. acicola could have hugely significant impacts on forest condition and ecosystem services, given the large areas of vulnerable pine forests.…”

Section: Discussionmentioning

confidence: 97%

The potential global distribution of an emerging forest pathogen, Lecanosticta acicola, under a changing climate

Ogris¹,

Drenkhan²,

Vahalík³

et al. 2023

Front. For. Glob. Change

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Brown spot needle blight (BSNB), caused by Lecanosticta acicola (Thüm.) Syd., is an emerging forest disease of Pinus species originating from North America and introduced to Europe and Asia. Severity and spread of the disease has increased in the last two decades in North America and Europe as a response to climate change. No modeling work on spread, severity, climatic suitability, or potential distribution has been done for this important emerging pathogen. This study utilizes a global dataset of 2,970 independent observations of L. acicola presence and absence from the geodatabase, together with Pinus spp. distribution data and 44 independent climatic and environmental variables. The objectives were to (1) identify which bioclimatic and environmental variables are most influential in the distribution of L. acicola; (2) compare four modeling approaches to determine which modeling method best fits the data; (3) examine the realized distribution of the pathogen under climatic conditions in the reference period (1971–2000); and (4) predict the potential future global distribution of the pathogen under various climate change scenarios. These objectives were achieved using a species distribution modeling. Four modeling approaches were tested: regression-based model, individual classification trees, bagging with three different base learners, and random forest. Altogether, eight models were developed. An ensemble of the three best models was used to make predictions for the potential distribution of L. acicola: bagging with random tree, bagging with logistic model trees, and random forest. Performance of the model ensemble was very good, with high precision (0.87) and very high AUC (0.94). The potential distribution of L. acicola was computed for five global climate models (GCM) and three combined pathways of Shared Socioeconomic Pathway (SSP) and Representative Concentration Pathway (SSP-RCP): SSP1-RCP2.6, SSP2-RCP4.5, and SSP5-RCP8.5. The results of the five GCMs were averaged on combined SSP-RCP (median) per 30-year period. Eight of 44 studied factors determined as most important in explaining L. acicola distribution were included in the models: mean diurnal temperature range, mean temperature of wettest quarter, precipitation of warmest quarter, precipitation seasonality, moisture in upper portion of soil column of wettest quarter, surface downwelling longwave radiation of driest quarter, surface downwelling shortwave radiation of warmest quarter and elevation. The actual distribution of L. acicola in the reference period 1971–2000 covered 5.9% of Pinus spp. area globally. However, the model ensemble predicted potential distribution of L. acicola to cover an average of 58.2% of Pinus species global cover in the reference period. Different climate change scenarios (five GCMs, three SSP-RCPs) showed a positive trend in possible range expansion of L. acicola for the period 1971–2100. The average model predictions toward the end of the century showed the potential distribution of L. acicola rising to 62.2, 61.9, 60.3% of Pinus spp. area for SSP1-RCP2.6, SSP2-RCP4.5, SSP5-RCP8.5, respectively. However, the 95% confidence interval encompassed 35.7–82.3% of global Pinus spp. area in the period 1971–2000 and 33.6–85.8% in the period 2071–2100. It was found that SSP-RCPs had a little effect on variability of BSNB potential distribution (60.3–62.2% in the period 2071–2100 for medium prediction). In contrast, GCMs had vast impact on the potential distribution of L. acicola (33.6–85.8% of global pines area). The maps of potential distribution of BSNB will assist forest managers in considering the risk of BSNB. The results will allow practitioners and policymakers to focus surveillance methods and implement appropriate management plans.

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Section: Discussionmentioning

confidence: 97%

The potential global distribution of an emerging forest pathogen, Lecanosticta acicola, under a changing climate

Ogris¹,

Drenkhan²,

Vahalík³

et al. 2023

Front. For. Glob. Change

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“…The disease has a long history of having damaged plantations in the Southern Hemisphere dating back to the 1960s ( Gibson, 1972 ), but during the course of the last three decades, it has also increased in severity and incidence in the Northern Hemisphere ( Drenkhan and Hanso, 2009 ; Welsh et al, 2009 ; Fabre et al, 2012 ; Boroń et al, 2016 ; Drenkhan et al, 2016 ; Ghelardini et al, 2020 ). Dothistroma needle blight has been reported on 113 taxa, of which 99 are in the genus Pinus ( Drenkhan et al, 2016 ; Jánošíková-Hečková et al, 2018 ; Barnes et al, 2022 ) and reports of the disease on new hosts and in new geographical regions are increasing ( Jánošíková-Hečková et al, 2018 ; Matsiakh et al, 2018 ; Mullett et al, 2018 ; Ondrušková et al, 2018 ; EPPO, 2019 ; Mesanza et al, 2021 ). The disease has been reported on Abies, Cedrus, Larix, Picea, and Pseudotsuga ( Drenkhan et al, 2016 ), although in most cases, infection has occurred when high inoculum load of the pathogen was present on Pinus species in close proximity to these hosts ( Barnes et al, 2022 ).…”

Section: Introductionmentioning

confidence: 99%

“…Dothistroma needle blight has been reported on 113 taxa, of which 99 are in the genus Pinus ( Drenkhan et al, 2016 ; Jánošíková-Hečková et al, 2018 ; Barnes et al, 2022 ) and reports of the disease on new hosts and in new geographical regions are increasing ( Jánošíková-Hečková et al, 2018 ; Matsiakh et al, 2018 ; Mullett et al, 2018 ; Ondrušková et al, 2018 ; EPPO, 2019 ; Mesanza et al, 2021 ). The disease has been reported on Abies, Cedrus, Larix, Picea, and Pseudotsuga ( Drenkhan et al, 2016 ), although in most cases, infection has occurred when high inoculum load of the pathogen was present on Pinus species in close proximity to these hosts ( Barnes et al, 2022 ).…”

Section: Introductionmentioning

confidence: 99%

Population structure and diversity of the needle pathogen Dothistroma pini suggests human-mediated movement in Europe

Nest

Wingfield²,

Sadiković³

et al. 2023

Front. Genet.

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Dothistroma needle blight (DNB) is an important disease of Pinus species that can be caused by one of two distinct but closely related pathogens; Dothistroma septosporum and Dothistroma pini. Dothistroma septosporum has a wide geographic distribution and is relatively well-known. In contrast, D. pini is known only from the United States and Europe, and there is a distinct lack of knowledge regarding its population structure and genetic diversity. The recent development of 16 microsatellite markers for D. pini provided an opportunity to investigate the diversity, structure, and mode of reproduction for populations collected over a period of 12 years, on eight different hosts in Europe. In total, 345 isolates from Belgium, the Czech Republic, France, Hungary, Romania, Western Russia, Serbia, Slovakia, Slovenia, Spain, Switzerland, and Ukraine were screened using microsatellite and species-specific mating type markers. A total of 109 unique multilocus haplotypes were identified and structure analyses suggested that the populations are influenced by location rather than host species. Populations from France and Spain displayed the highest levels of genetic diversity followed by the population in Ukraine. Both mating types were detected in most countries, with the exception of Hungary, Russia and Slovenia. Evidence for sexual recombination was supported only in the population from Spain. The observed population structure and several shared haplotypes between non-bordering countries provides good evidence that the movement of D. pini in Europe has been strongly influenced by human activity in Europe.

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“…Dothistroma septosporum is one of two distinct species of Dothistroma that cause Dothistroma needle blight (DNB) on Pinus spp. and other Pinaceae hosts (Barnes et al, 2016(Barnes et al, , 2022. Repeated infections result in severe defoliation, yield reduction, tree death and economic losses (Brown, 2011;Bulman et al, 2008;Gibson, 1979).…”

Section: Introductionmentioning

confidence: 99%

Patterns of Dothistroma septosporum conidial dispersal in Colombian Pinus tecunumanii plantations

Granados,

Rodas,

Vivas

et al. 2023

Forest Pathology

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Dothistroma needle blight (DNB) caused by Dothistroma septosporum is one of the most important needle diseases of Pinus spp., especially in Southern Hemisphere plantations. In Colombia, the pathogen has caused severe outbreaks in plantations of Pinus tecunumanii of the low elevation population (LE). Currently, management strategies suffer from a lack of knowledge regarding the epidemiology of D. septosporum under tropical climatic conditions. In this study we determined the patterns of conidial dispersal and considered how climatic conditions in Colombia influence them. The study was conducted over 15 consecutive months between October 2010 and December 2011 using glass slide‐based spore traps. Conidia were found on the traps throughout the year, with the peak abundance during November to January (2010) and November to December (2011). During peak conidial production, relative humidity and temperature had the greatest influence on conidial dispersal. Favourable weather conditions in Colombia, particularly rainfall, have contributed to continuous conidial production throughout the year, leading to D. septosporum infections all year round. This high reproductive rate as a consequence of high precipitation is in contrast to other Southern Hemisphere and Northern Hemisphere countries with more specific periods of rainfall and infection.

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Dothistroma needle blight

Cited by 8 publications

References 100 publications

The potential global distribution of an emerging forest pathogen, Lecanosticta acicola, under a changing climate

The potential global distribution of an emerging forest pathogen, Lecanosticta acicola, under a changing climate

Population structure and diversity of the needle pathogen Dothistroma pini suggests human-mediated movement in Europe

Patterns of Dothistroma septosporum conidial dispersal in Colombian Pinus tecunumanii plantations

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