The Potential Geographical Distribution of bactrocera Dorsalis (Diptera: Tephrididae) in China Based on Emergence Rate Model and Arcgis

Precision agriculture is an important choice for the future agriculture. It is the base for precision agriculture development to change the state of small-scale farmland production and weak agricultural foundation in China gradually. Combined with the poorness of village in China, the variation of farmland and the dominance of small-scale peasant economy, this paper analyzed the adaptability of farmland landscape pattern to precision agriculture based on literatures and farmland landscape survey. With the requirements of precision agricultural production, this paper put forward the standards on cultivated field scale and shape, farmland corridor structure, cultivated field matrix and farmland landscape protection in order to make farmland landscape suitable for precision agriculture and to provide references for the sustainable development of precision agriculture in China.

[1]  R. Sutherst,et al.  A Climate Model of the Red Imported Fire Ant, Solenopsis invicta Buren (Hymenoptera: Formicidae): Implications for Invasion of New Regions, Particularly Oceania , 2005 .

[2]  M. Y. Nuttonson.  Agroclimatology and Crop Ecology of the Ukraine and Climatic Analogues in North America , 1947 .

[3]  M. Y. Nuttonson.  Ecological crop geography of Norway and its agro-climatic analogues in North America. , 1950 .

[4]  A. Townsend Peterson,et al.  Novel methods improve prediction of species' distributions from occurrence data , 2006 .

[5]  Wang Yunsheng,et al.  Application of ROC curve analysis in evaluating the performance of alien species' potential distribution models. , 2007 .

[6]  Zhou Guo.  Predicting potential ecological distribution of Bactrocera dorsalis in China using GARP ecological niche modeling , 2007 .

[7]  L. Yong.  Cold hardiness of pupae and over-wintering adults from natural populations of Bactrocera dorsalis (Hendel) (Diptera:Tephritidae) in China , 2007 .

[8]  C. Peng.  Population dynamics of Bactrocera dorsalis (Diptera:Tephritidae) in Liuku,Yunnan with an analysis of the influencing factors , 2007 .

[9]  W. C. Cook.  Notes on Predicting the Probable Future Distribution of Introduced Insects , 1931 .

[10]  Yuan Shengyong.  Influence of drowning and pupal depth on the duration and eclosion rate of Bactrocera dorsalis Hendel , 2004 .

[11]  Wu Yu-fen.  Geographical distribution model of oriental fruit fly , 2005 .

[12]  Chen Lin,et al.  The analysis for the red imported fire ant Solenopsis invicta (Hymenoptera: Formicidae) distribution in China based on 3S technology, climate model and colony dynamic model , 2006 .

[13]  Zhang Chao-liang.  STUDY ON THE BIOLOGY AND SURVIVAL OF BACTROCERA DORSALIS IN THE BORDER REGION OF YUNNAN , 2001 .

[14]  Zhang Run.  Assessment on the introduction risk of Bactrocera dorsalis(Hendel) through imported fruits with fuzzy mathematics , 2005 .

[15]  H. M. Armitage,et al.  The oriental fruit fly [Dacus dorsalis]. , 1949 .

[16]  R. Sutherst,et al.  From CLIMEX to PESKY, a generic expert system for pest risk assessment , 1991 .

[17]  R. Vargas,et al.  Survival and Development of Immature Stages of Four Hawaiian Fruit Flies (Diptera: Tephritidae) Reared at Five Constant Temperatures , 1996 .

[18]  H. Su.  Advance in the research on the quarantine pest Bactrocera dorsalis , 2005 .

[19]  Xiong Yan.  Study on the suitable establishment of Bactrocera dorsalis Hendel in Jiangsu Province,China , 2006 .

[20]  Lin Jin,et al.  Influence of soil moisture on the surviral of oriental fruit fly Bactrocera (Bactrocera) dorsalis pupa , 2005 .

[21]  A. E. A. Stephens,et al.  The current and future potential geographical distribution of the oriental fruit fly, Bactrocera dorsalis (Diptera: Tephritidae) , 2007, Bulletin of Entomological Research.

[22]  Song Hong.  CLIMEX:professional biological software for predicting potential distribution of species. , 2004 .

[23]  R. H. Foote,et al.  Biology of Fruit Flies , 1960 .

[24]  P. Hernandez,et al.  The effect of sample size and species characteristics on performance of different species distribution modeling methods , 2006 .