Analysis of spatial distribution of Jas's Larch Inchworm outbreak area
- DOI
- 10.2991/rac-18.2018.4How to use a DOI?
- Keywords
- Jas’s Larch Inchworm outbreak area, GIS spatial analysis,Pest coverage index, Spatial distribution characteristics
- Abstract
Jas’s Larch Inchworm is a pest that harms larch forest in Mongolia plateau. It is important to study the distribution of Jas’s Larch Inchworm outbreak area for effective prevention and control of larch disaster. In this study, the RS data were used to extract pests areas by the change detection-maximum synthesis model, and the pest coverage index was used to extract insect outbreak areas, and then the spatial distribution characteristics of the pest outbreak areas were analyzed from both meteorological and topographic perspectives. The research shows that the Kappa coefficient of extraction of the pest areas is 0.835, indicating that this method has high accuracy. The pest coverage index can be used to rapidly extract pest outbreak areas, which is a new idea for extracting outbreak area in forest pests. During the incubation period, spawning period and wintering period of pests ,the distribution of pest outbreak areas has spatially different rules for temperature and precipitation conditions. The pest outbreak areas are mainly distributed on Semi-sunny slope or semi-shady slopes with gentle slopes of 1676-2996m above sea level. The research results will provide a reference for the occurrence and development of the Jas’s Larch Inchworm.
- Copyright
- © 2018, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Xiaojun Huang AU - Yaowen Xie AU - Yulong Bao AU - D. Enkhnasan AU - B. Ganzorig PY - 2018/10 DA - 2018/10 TI - Analysis of spatial distribution of Jas's Larch Inchworm outbreak area BT - Proceedings of the 8th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC 2018) PB - Atlantis Press SP - 20 EP - 25 SN - 2352-5428 UR - https://doi.org/10.2991/rac-18.2018.4 DO - 10.2991/rac-18.2018.4 ID - Huang2018/10 ER -