Spatial Distribution Pattern of Pine Trees Killed by Pine Wilt Disease in a Sparsely Growing, Young Pine Stand

Sone, Kenbun; Ohkubo, Keisuke; Matsuo, Toshiyuki; Hata, Kunihiko

doi:10.5539/jps.v2n1p36

Cited by 2 publications

(2 citation statements)

References 12 publications

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“…A minimum rate of coinfection was necessary for aggregation to occur, but more coinfected plants did not lead to extended aggregation between viruses. While there is evidence for local dispersal of B/CYDVs from 'spillover' hosts (Power and Mitchell 2004), this and other studies showing plant disease aggregation often occur in assemblages of low plant diversity (Sone et al 2012, Nessa et al 2015. Natural grasslands and other highly diverse ecological environments are likely to obscure aggregation caused by localized dispersal through mechanisms such as variation in host quality, vector foraging preferences, and the initial spatial distribution of disease inoculum (Caraco et al 2001, Medel et al 2004, Ferrari et al 2006, Gosme and Lucas 2011.…”

Section: Discussionmentioning

confidence: 99%

Characteristics and drivers of plant virus community spatial patterns in US west coast grasslands

Kendig

Borer

Mitchell

et al. 2017

Oikos

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The spatial distribution of disease risk caused by multi‐pathogen infections is not frequently characterized, limiting understanding of the drivers of infection and thwarting prediction of future risk in a changing environment. Further complicating this predictive understanding is that interactions among multiple pathogens within a host commonly alter transmission success, infection risk, and disease dynamics. By characterizing spatial patterns of Barley and Cereal Yellow Dwarf Virus (B/CYDV) infections that range from the scale of an individual plant to thousands of neighboring plants, we examined the contributions of spatial processes to the distribution of disease risk. In a two‐year field experiment, we planted grass hosts of B/CYDVs into fertilized plots of US west coast grasslands. We determined how vector‐sharing, environmental conditions and spatial variation in host quality affected spatial patterns of single viruses, pairs of viruses and the whole virus community across out‐planted grass hosts. We found that single viruses and virus communities were spatially random, indicating that infection does not solely spread through the community in a wave‐like manner. On the other hand, we found that pairs of viruses, especially those that share a vector species, were aggregated spatially. This suggests that if within‐host competition exists, it is not strong. Aggregation in one pair of viruses was more frequent due to environmental conditions and spatial variation in out‐planted host quality, measured as vector preference. These results highlight the importance of insect vectors for predicting the spatial distribution of coinfection risk by B/CYDVs.

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Section: Discussionmentioning

confidence: 99%

Characteristics and drivers of plant virus community spatial patterns in US west coast grasslands

Kendig

Borer

Mitchell

et al. 2017

Oikos

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“…The analysis of the spatial pattern of individuals of a particular species has long been a concern of ecologists [21].…”

Section: Introductionmentioning

confidence: 99%

Spatial Distribution Pattern of the Populations of Carex siderosticta at Mt. Geumjeong and Mt. Ahop

Huh¹

2015

Journal of Life Science

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Data on the spatial distribution of a plant population among administrative areas is useful for various purposes. In this study, I analyzed the spatial distribution of the geographical distances of Carex siderosticta at Mt. Geumjeong and Mt. Ahop in Korea. The aim was to test a spatial structure within two populations of C. siderosticta. Most natural plots of C. siderosticta are not uniformly distributed in the forest community; for example, uniform plots were aggregately distributed within a space of 6.0 m × 6.0 m. When the sampling plots were larger than 6.0 m × 12.0 m, the individuals of C. siderosticta were aggregately distributed. The neighboring patches of C. siderosticta were predominantly 7.5 m to 9.0 m apart, on average; however, if the natural populations were disturbed by human activities, the aggregation occurred in shorter distances than a scale of 9.0 m. Moran's I of C. siderosticta significantly differed from the expected value in only 16 of 40 cases (40%). In conclusion, the geographical distribution of C. siderosticta is not even, with varying degrees of size in the plots, while human activities give rise to density effects in the plots at both Mt. Geumjeong and Mt. Ahop in Korea.

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Spatial Distribution Pattern of Pine Trees Killed by Pine Wilt Disease in a Sparsely Growing, Young Pine Stand

Abstract: We studied the spatial distribution pattern of surviving Japanese black pine trees and those killed by pine wilt

Cited by 2 publications

References 12 publications

Characteristics and drivers of plant virus community spatial patterns in US west coast grasslands

Characteristics and drivers of plant virus community spatial patterns in US west coast grasslands

Spatial Distribution Pattern of the Populations of Carex siderosticta at Mt. Geumjeong and Mt. Ahop

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