2016
DOI: 10.5194/we-16-37-2016
|View full text |Cite
|
Sign up to set email alerts
|

Potential climate-induced distributions of <i>Lophodermium</i> needle cast across central Siberia in the 21 century

Abstract: Abstract. Needle cast caused by fungi of the genus Lophodermium Chevall. is a common disease in pine trees in Siberia. Regression analyses relating needle cast events to climatic variables in [1997][1998][1999][2000][2001][2002][2003][2004][2005][2006][2007][2008][2009][2010] showed that the disease depended most on precipitation of two successive years. Temperature conditions were important to trigger the disease in wetter years. We used our regional bioclimatic envelope model and IPCC scenarios to model the … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2

Citation Types

1
2
0
1

Year Published

2017
2017
2024
2024

Publication Types

Select...
4
1

Relationship

0
5

Authors

Journals

citations
Cited by 5 publications
(4 citation statements)
references
References 3 publications
1
2
0
1
Order By: Relevance
“…The values estimated in this work agree with those obtained by Tchebakova et al (2016), who registered a larger amount of forest areas damaged by Lophodermium spp. in the short term (year 2020); although they used different climate change scenarios from those utilized in the present study (B1 and A2: model HadCm3), they cite a tendency toward favorable conditions for the development of Lophodermium spp.…”
Section: Spatial Distribution Of Lophodermium Spp Under Scenario Rcpsupporting
confidence: 91%
See 1 more Smart Citation
“…The values estimated in this work agree with those obtained by Tchebakova et al (2016), who registered a larger amount of forest areas damaged by Lophodermium spp. in the short term (year 2020); although they used different climate change scenarios from those utilized in the present study (B1 and A2: model HadCm3), they cite a tendency toward favorable conditions for the development of Lophodermium spp.…”
Section: Spatial Distribution Of Lophodermium Spp Under Scenario Rcpsupporting
confidence: 91%
“…Los valores obtenidos en este trabajo coinciden con lo documentado por Tchebakova et al (2016), autores que registran, en el corto plazo (año 2020), una mayor cantidad de áreas forestales dañadas por Lophodermium ssp. Aunque, se utilizaron escenarios de cambio climático diferentes al presente estudio (B1 y A2: modelo HadCm3), citan una tendencia a condiciones favorables para el desarrollo de Lophodermium ssp.…”
Section: Spatial Distribution Of Lophodermium Spp Under Scenario Rcpunclassified
“…The recent emergence of several needle diseases has been attributed to more frequent regional warm rain events as a result of changing climates (Lee et al., 2017; Ondrušková et al., 2020; Welsh et al., 2009; Wyka et al., 2017). Projected warmer and wetter years in some regions could likely trigger large‐scale disease outbreaks with significant consequences, although these impacts may be counterbalanced by drier summers and overall drier climates anticipated in the future (Desprez‐Loustau et al., 2007; Sturrock et al., 2011; Tchebakova et al., 2016). Besides the intensified occurrence of native needle pathogens, cryptic and introduced pathogens are also emerging that further threaten conifer forests (Barnes et al., 2008; Mullett & Brown, 2018; Piškur et al., 2013).…”
Section: Introductionmentioning
confidence: 99%
“…One such biological niche includes the geographical area encompasses of the Siberian region which constitutes one of the vast region conquering almost northern Asia with its border extending through different countries like Russia, China, Kazakhstan, Mongolia and arctic regions (Raiklin 2008). Apart from its vast territory, varied climatic conditions, soil, and topography make Siberia one of the interesting habitat (Tchebakova et al 2016). Till date, it can be believed that Siberia is one of the underexplored areas with scanty exploratory missions being carried out (Franke et al 2004).…”
Section: Introductionmentioning
confidence: 99%