Paper Info
Title
Mapping the Spatio-Temporal Distribution of Fall Armyworm in China by Coupling Multi-Factors
Abstract
The fall armyworm (FAW) (Spodoptera frugiperda) (J. E. Smith) is a migratory pest that lacks diapause and has raised widespread concern in recent years due to its global dispersal and infestation. Seasonal environmental changes lead to its large-scale seasonal activities, and quantitative simulations of its dispersal patterns and spatiotemporal distribution facilitate integrated pest management. Based on remote sensing data and meteorological assimilation products, we constructed a mechanistic model of the dynamic distribution of FAW (FAW-DDM) by integrating weather-driven flight of FAW with host plant phenology and environmental suitability. The potential distribution of FAW in China from February to August 2020 was simulated. The results showed a significant linear relationship between the dates of the first simulated invasion and the first observed invasion of FAW in 125 cities (R-2 = 0.623; p < 0.001). From February to April, FAW was distributed in the Southwestern and Southern Mountain maize regions mainly due to environmental influences. From May to June, FAW spread rapidly, and reached the Huanghuaihai and North China maize regions between June to August. Our results can help in developing pest prevention and control strategies with data on specific times and locations, reducing the impact of FAW on food security.
Year
DOI
Venue
2022
10.3390/rs14174415
REMOTE SENSING
Keywords
DocType
Volume
fall armyworm, dynamic distribution, migration simulation, maize phenology, environmental suitability
Journal
14
Issue
ISSN
Citations 
17
2072-4292
0
PageRank 
References 
Authors
0.34
0
11
Name
Order
Citations
PageRank
Yanru Huang100.34
Hua Lv200.34
Yingying Dong31811.41
wenjiang huang41612.02
Gao Hu500.34
Yang Liu61568126.97
Hui Chen7513.63
Yun Geng801.01
Jie Bai900.34
Peng Guo1001.35
Yifeng Cui1100.34