1 |
Austin M. Spatial prediction of species distribution: an interface between ecological theory and statistical modelling. Ecol Model, 2002, 157: 101-118,
DOI
|
2 |
Black EN, Blair JD, van der Burg KRL, Marshall KE. Crowd-sourced observations of a polyphagous moth reveal evidence of allochronic speciation varying along a latitudinal gradient. PLoS ONE, 2023, 18(7): ,
DOI
|
3 |
Chen CH, Wei B. Predicting the potential distribution of Aedes albopictus in Guangdong Province based on the combined models and GIS. J Biosaf, 2023, 32(02): 161-167,
DOI
|
4 |
Chen M. Occurrence and control measures of Hyphantria cunea. Liaoning for Sci Technol, 2022, 06: 57-60
|
5 |
Dai JX, Cao LJ, Chen JC, Yang F, Shen XJ, Ma LJ, Hoffmann AA, Chen M, Wei SJ. Testing for adaptive changes linked to range expansion following a single introduction of the fall webworm. Mol Ecol, 2023,
DOI
|
6 |
Gao R, Wang Z, Shi J, Luo Y. Effect of Bursaphelenchus xylophilus infection on leaf photosynthetic characteristics and resource-use efficiency of Pinus massoniana. Ecol Evol, 2017, 7: 3455-3463,
DOI
|
7 |
Gomi T, Nagasaka M, Fukuda T, Hagihara H. Shifting of the life cycle and life-history traits of the fall webworm in relation to climate change. Entomol Exp Appl, 2007, 125: 179-184,
DOI
|
8 |
Guo QQ, Li HE, Zheng WL, Pan JW, Lu J, Li JR, Zheng Y. Analysis of genetic diversity and prediction of Larix species distribution in the Qinghai-Tibet Plateau. China J for Res, 2023, 34: 705-715,
DOI
|
9 |
|
10 |
|
11 |
Ji YL, Su XY, Yu ZJ. Potential habitat prediction of Hyphantria cunea based on a random forest model in China. J Nanjing for Univ (natURAL SCIences Edition), 2019, 43(06): 121-128,
DOI
|
12 |
Jia HM, Zhang HJ, Zhang X. Occurrence characteristic and comprehensive countermeasure of Hyphantria cunea. J Fruit Resour, 2022, 3(02): 60-62,
DOI
|
13 |
Kreft H, Jetz W. Global patterns and determinants of vascular plant diversity. Proc Natl Acad Sci, 2007, 104: 5925-5930,
DOI
|
14 |
Lewis OT. Climate change, species–area curves and the extinction crisis. Philos Trans r Soc B: Biol Sci, 2006, 361: 163-171,
DOI
|
15 |
Li DB, Lu XL, He S, Luo ZQ, Wu H, Song YS. Disaster spread process and trend analysis of Hyphantria cunea in Northeast China. Forest Pest Dis, 2023, 42(02): 9-15,
DOI
|
16 |
Li T, Li ZH, Yu ZD, Li B. Adaptability analysis and risk assessment of Hyphantria cunea in Sichuan. J Northwest A & F Univ (natural Science Edition), 2018, 46(01): 60-67,
DOI
|
17 |
Liu F, Gong CQ, Li S, Chen YF, Zhou HW. Predicted future range of the fall webworm in China based on different climate scenarios. Chin J Appl Entomol, 2023, 60(01): 76-86,
DOI
|
18 |
Liu F, Li Q. Occurrence, forest control status and prospect of fall-webworm (Hyphantria cunea Drury) in China. J Shenyang Agric Univ, 2022, 53(05): 630-640,
DOI
|
19 |
Lu X, Du XM, An JM. Garp based prediction of suitable habitat for Hyphantria cunea in China. Agric Technol, 2016, 36(19): 46-50
|
20 |
Lu XL, Xie T, Cheng XC, Zhang RX, Wang B, Jin J, Wang M, Shi Y. Change in voltinism increases the spread of Hyphantria cunea in China. J Biosaf, 2023, 32(01): 1-7,
DOI
|
21 |
Meng B, Wang JF, Zhang WZ, Liu XH. Evaluation of regional disparity in China based on spatial analysis. Sci Geograph Sinica, 2005, 04: 11-18
|
22 |
Ni TL, Wen SQ, Yu B. Occurrence characteristics and lntegrated control measures for Hyphantria cunea in Hebei Province. Guizhou Agric Sci, 2009, 37(10): 82-84
|
23 |
Rahman MM, Zalucki MP, Furlong MJ. Diamondback moth egg susceptibility to rainfall: effects of leaf surface properties on the direct and indirect impact of simulated rain. Entomol Exp Appl, 2023, 171: 704-715,
DOI
|
24 |
Seguna A, Catania A, Sammut P, Borg JJ. Hyphantria cunea (Drury, 1773) new for the Maltese Islands (Lepidoptera: Erebidae, Arctiinae, Arctiini). SHILAP Revista De Lepidopterología, 2023, 51(202): 255-257,
DOI
|
25 |
Sun SH, Nan JK, Yang LY, Song LW, Zuo TT, Wang Y, Li S. Research progress on natural enemies of the Hyphantria cunea (Drury). J Environ Entomol, 2021, 43(06): 1331-1347,
DOI
|
26 |
Tian S, Gu T, Chen C, Zhao XD, Liu PC, Hao DJ. The effects of temperature and host size on the development of Brachymeria lasus parasitising Hyphantria cunea. J for Res, 2021, 32: 401-407,
DOI
|
29 |
Wang JF, Li XH, Christakos G, Liao YL, Zhang T, Gu X, Zheng XY. Geographical detectors-based health risk assessment and its application in the neural tube defects study of the Heshun Region, China. Int J Geogr Inf Sci, 2010, 24(1): 107-127,
DOI
|
27 |
Wang SW, Liang B, Lin JJ. Analysis and prediction of meteorological conditions during the peak period of Hyphantria cunea pest damage in the Kunyu Mountain Forest of Yantai. China Sci Technol Overview, 2016, 21: 2,
DOI
|
28 |
Wang JF, Zhang TL, Fu BJ. A Measure of Spatial Stratified Heterogeneity. Ecol Ind, 2016, 67: 250-256,
DOI
|
30 |
Wei SH, Liu XQ, McNeill MR, Wang Y, Sun W, Tu XB, Wang GJ, Ban LP, Zhang ZH, Zhang R. Identification of spatial distribution and drivers for grasshopper populations based on geographic detectors. Ecol Indic, 2023,
DOI
|
31 |
Xia Y, Yang Y, Liu JH. Adaptability Analysis of Hyphantria cunea in Henan Province Based on MaxEnt Mode. Hunan Agric Sci, 2022, 12: 66-70,
DOI
|
32 |
Xu T, Yu H, Kong B, Qiu X, Hu MK, Ling PF. Spatial heterogeneity of gravel size in Northern Tibetan Plateau. Arid Zone Res, 2023, 40(02): 292-302,
DOI
|
33 |
Xue DX, Zhang RR, Chen LP, Chen MX, Xu G. Faster R-CNN based image recognition research of Hyphantria cunea. J Environ Entomol, 2020, 42(06): 1502-1509,
DOI
|
34 |
|
35 |
Ye JX, Wang JW, Zhang MS, Zhou RL, Shi L. Risk pattern analysis of Hyphantria cunea based on spatial matrix model and 0–1 measure. Sci Silvae Sinicae, 2021, 57(1): 140-152,
DOI
|
36 |
Zhao J Q, Zhang Y, Pan Y P, Shi J (2018) Risk Study on temporal and spatial distribution of Hyphantria cunea(Drury) in Beijing based on GS and GIS. The 5th National Congress on Invasive Biology - Invasive Organisms and Ecological Security
|
37 |
Zhao R, Zhan LP, Yao MX, Yang LC. A geographically weighted regression model augmented by Geodetector analysis and principal component analysis for the spatial distribution of PM2.5. Sustain Cities an Soc, 2020, 56: 102106,
DOI
|