Geostatistical Analysis of Spatial Distribution of <i>Endoclita signifer</i> Larvae on Eucalyptus

Xiuhao Yang; Jianglin Qin; Youqing Luo; Zhongwu Yang; Jiguang Wei

doi:doi:10.11648/j.ajaf.20180606.20

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Geostatistical Analysis of Spatial Distribution of Endoclita signifer Larvae on Eucalyptus

Xiuhao Yang, Jianglin Qin, Youqing Luo, Zhongwu Yang, Jiguang Wei

Published in American Journal of Agriculture and Forestry (Volume 6, Issue 6)

Received: 14 October 2018 Accepted: 10 November 2018 Published: 24 December 2018

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Abstract

Endoclita signifer is a native wood borer species adapted to infest Eucalyptus in Guangxi of China. To better understand its spatial distribution in Eucalyptus forests, geostatistical approach was employed to analyze survey data of small scale (plantation level) and large scale (provincial level). The small scale results showed that the spatial distribution pattern was clumped regardless of infestation level. But the distance of spatial dependence was different with different infestation levels. These distances were 20.0 m, 40.3 m and 69.4 m for light, moderate and severe infestation levels, respectively. This indicated that as infestation level increased, the spatial distribution was less clumped. At the large scale level, the spatial distribution pattern was random when infestation was light. At the moderate and severe infestation level, the distribution pattern was clumped. The distance of spatial dependence was 43.6 km, 15.5 km and 12.47 km for light, moderate and severe infestation, respectively. This trend was opposite to that of the small scale. The large scale survey results reflected the occurrence of E. signifer in Guangxi province. Eucalyptus trees are cultivated in every county of Guangxi. Plantations with light infestation were scattered in a random pattern across the province. Moderate and severe infested plantations were mainly distributed in the central and southern areas of the province where Eucalyptus cultivation has longer history compared to other areas. Furthermore, the distance of spatial dependence was 17.4 km and 21.3 km for the 2nd generation forests (ratoon) and the 1st generation forests (established via seedlings), respectively. The observed spatial distribution patterns of E. signifer larvae seemed closely related to its biology and its successful adaptation to attack exotic Eucalyptus. These results provide fundamental knowledge for forecasting and evaluating E. signifer infestation and damage of Eucalyptus forests.

Published in	American Journal of Agriculture and Forestry (Volume 6, Issue 6)
DOI	10.11648/j.ajaf.20180606.20
Page(s)	226-236
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2018. Published by Science Publishing Group

Keywords

Endoclita signifer, Spatial Distribution Pattern, Geostatistics, Eucalyptus

References

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APA Style

Xiuhao Yang, Jianglin Qin, Youqing Luo, Zhongwu Yang, Jiguang Wei. (2018). Geostatistical Analysis of Spatial Distribution of Endoclita signifer Larvae on Eucalyptus. American Journal of Agriculture and Forestry, 6(6), 226-236. https://doi.org/10.11648/j.ajaf.20180606.20

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ACS Style

Xiuhao Yang; Jianglin Qin; Youqing Luo; Zhongwu Yang; Jiguang Wei. Geostatistical Analysis of Spatial Distribution of Endoclita signifer Larvae on Eucalyptus. Am. J. Agric. For. 2018, 6(6), 226-236. doi: 10.11648/j.ajaf.20180606.20

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AMA Style

Xiuhao Yang, Jianglin Qin, Youqing Luo, Zhongwu Yang, Jiguang Wei. Geostatistical Analysis of Spatial Distribution of Endoclita signifer Larvae on Eucalyptus. Am J Agric For. 2018;6(6):226-236. doi: 10.11648/j.ajaf.20180606.20

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@article{10.11648/j.ajaf.20180606.20,
  author = {Xiuhao Yang and Jianglin Qin and Youqing Luo and Zhongwu Yang and Jiguang Wei},
  title = {Geostatistical Analysis of Spatial Distribution of Endoclita signifer Larvae on Eucalyptus},
  journal = {American Journal of Agriculture and Forestry},
  volume = {6},
  number = {6},
  pages = {226-236},
  doi = {10.11648/j.ajaf.20180606.20},
  url = {https://doi.org/10.11648/j.ajaf.20180606.20},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajaf.20180606.20},
  abstract = {Endoclita signifer is a native wood borer species adapted to infest Eucalyptus in Guangxi of China. To better understand its spatial distribution in Eucalyptus forests, geostatistical approach was employed to analyze survey data of small scale (plantation level) and large scale (provincial level). The small scale results showed that the spatial distribution pattern was clumped regardless of infestation level. But the distance of spatial dependence was different with different infestation levels. These distances were 20.0 m, 40.3 m and 69.4 m for light, moderate and severe infestation levels, respectively. This indicated that as infestation level increased, the spatial distribution was less clumped. At the large scale level, the spatial distribution pattern was random when infestation was light. At the moderate and severe infestation level, the distribution pattern was clumped. The distance of spatial dependence was 43.6 km, 15.5 km and 12.47 km for light, moderate and severe infestation, respectively. This trend was opposite to that of the small scale. The large scale survey results reflected the occurrence of E. signifer in Guangxi province. Eucalyptus trees are cultivated in every county of Guangxi. Plantations with light infestation were scattered in a random pattern across the province. Moderate and severe infested plantations were mainly distributed in the central and southern areas of the province where Eucalyptus cultivation has longer history compared to other areas. Furthermore, the distance of spatial dependence was 17.4 km and 21.3 km for the 2nd generation forests (ratoon) and the 1st generation forests (established via seedlings), respectively. The observed spatial distribution patterns of E. signifer larvae seemed closely related to its biology and its successful adaptation to attack exotic Eucalyptus. These results provide fundamental knowledge for forecasting and evaluating E. signifer infestation and damage of Eucalyptus forests.},
 year = {2018}
}

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TY - JOUR
T1 - Geostatistical Analysis of Spatial Distribution of Endoclita signifer Larvae on Eucalyptus
AU - Xiuhao Yang
AU - Jianglin Qin
AU - Youqing Luo
AU - Zhongwu Yang
AU - Jiguang Wei
Y1 - 2018/12/24
PY - 2018
N1 - https://doi.org/10.11648/j.ajaf.20180606.20
DO - 10.11648/j.ajaf.20180606.20
T2 - American Journal of Agriculture and Forestry
JF - American Journal of Agriculture and Forestry
JO - American Journal of Agriculture and Forestry
SP - 226
EP - 236
PB - Science Publishing Group
SN - 2330-8591
UR - https://doi.org/10.11648/j.ajaf.20180606.20
AB - Endoclita signifer is a native wood borer species adapted to infest Eucalyptus in Guangxi of China. To better understand its spatial distribution in Eucalyptus forests, geostatistical approach was employed to analyze survey data of small scale (plantation level) and large scale (provincial level). The small scale results showed that the spatial distribution pattern was clumped regardless of infestation level. But the distance of spatial dependence was different with different infestation levels. These distances were 20.0 m, 40.3 m and 69.4 m for light, moderate and severe infestation levels, respectively. This indicated that as infestation level increased, the spatial distribution was less clumped. At the large scale level, the spatial distribution pattern was random when infestation was light. At the moderate and severe infestation level, the distribution pattern was clumped. The distance of spatial dependence was 43.6 km, 15.5 km and 12.47 km for light, moderate and severe infestation, respectively. This trend was opposite to that of the small scale. The large scale survey results reflected the occurrence of E. signifer in Guangxi province. Eucalyptus trees are cultivated in every county of Guangxi. Plantations with light infestation were scattered in a random pattern across the province. Moderate and severe infested plantations were mainly distributed in the central and southern areas of the province where Eucalyptus cultivation has longer history compared to other areas. Furthermore, the distance of spatial dependence was 17.4 km and 21.3 km for the 2nd generation forests (ratoon) and the 1st generation forests (established via seedlings), respectively. The observed spatial distribution patterns of E. signifer larvae seemed closely related to its biology and its successful adaptation to attack exotic Eucalyptus. These results provide fundamental knowledge for forecasting and evaluating E. signifer infestation and damage of Eucalyptus forests.
VL - 6
IS - 6
ER -

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Author Information

Xiuhao Yang

Department of Guangxi Forestry Pest Management, Bureau of Guangxi Forestry, Nanning, China
Jianglin Qin

Guangxi Institute of Meteorological Disaster-Reducing Research, Nanning, China
Youqing Luo

Forestry College, Beijing Forestry University, Beijing, China
Zhongwu Yang

Forestry Pest Management Station of Guiling Districts, Guiling, China
Jiguang Wei

Agriculture College, Guangxi University, Nanning, China

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Plain Text BibTeX RIS

APA Style

Xiuhao Yang, Jianglin Qin, Youqing Luo, Zhongwu Yang, Jiguang Wei. (2018). Geostatistical Analysis of Spatial Distribution of Endoclita signifer Larvae on Eucalyptus. American Journal of Agriculture and Forestry, 6(6), 226-236. https://doi.org/10.11648/j.ajaf.20180606.20

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ACS Style

Xiuhao Yang; Jianglin Qin; Youqing Luo; Zhongwu Yang; Jiguang Wei. Geostatistical Analysis of Spatial Distribution of Endoclita signifer Larvae on Eucalyptus. Am. J. Agric. For. 2018, 6(6), 226-236. doi: 10.11648/j.ajaf.20180606.20

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AMA Style

Xiuhao Yang, Jianglin Qin, Youqing Luo, Zhongwu Yang, Jiguang Wei. Geostatistical Analysis of Spatial Distribution of Endoclita signifer Larvae on Eucalyptus. Am J Agric For. 2018;6(6):226-236. doi: 10.11648/j.ajaf.20180606.20

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@article{10.11648/j.ajaf.20180606.20,
  author = {Xiuhao Yang and Jianglin Qin and Youqing Luo and Zhongwu Yang and Jiguang Wei},
  title = {Geostatistical Analysis of Spatial Distribution of Endoclita signifer Larvae on Eucalyptus},
  journal = {American Journal of Agriculture and Forestry},
  volume = {6},
  number = {6},
  pages = {226-236},
  doi = {10.11648/j.ajaf.20180606.20},
  url = {https://doi.org/10.11648/j.ajaf.20180606.20},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajaf.20180606.20},
  abstract = {Endoclita signifer is a native wood borer species adapted to infest Eucalyptus in Guangxi of China. To better understand its spatial distribution in Eucalyptus forests, geostatistical approach was employed to analyze survey data of small scale (plantation level) and large scale (provincial level). The small scale results showed that the spatial distribution pattern was clumped regardless of infestation level. But the distance of spatial dependence was different with different infestation levels. These distances were 20.0 m, 40.3 m and 69.4 m for light, moderate and severe infestation levels, respectively. This indicated that as infestation level increased, the spatial distribution was less clumped. At the large scale level, the spatial distribution pattern was random when infestation was light. At the moderate and severe infestation level, the distribution pattern was clumped. The distance of spatial dependence was 43.6 km, 15.5 km and 12.47 km for light, moderate and severe infestation, respectively. This trend was opposite to that of the small scale. The large scale survey results reflected the occurrence of E. signifer in Guangxi province. Eucalyptus trees are cultivated in every county of Guangxi. Plantations with light infestation were scattered in a random pattern across the province. Moderate and severe infested plantations were mainly distributed in the central and southern areas of the province where Eucalyptus cultivation has longer history compared to other areas. Furthermore, the distance of spatial dependence was 17.4 km and 21.3 km for the 2nd generation forests (ratoon) and the 1st generation forests (established via seedlings), respectively. The observed spatial distribution patterns of E. signifer larvae seemed closely related to its biology and its successful adaptation to attack exotic Eucalyptus. These results provide fundamental knowledge for forecasting and evaluating E. signifer infestation and damage of Eucalyptus forests.},
 year = {2018}
}

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