Current and Future Distribution of Ricania shantungensis (Hemiptera: Ricaniidae) in Korea: Application of Spatial Analysis to Select Relevant Environmental Variables for MaxEnt and CLIMEX Modeling

被引:18
作者
Baek, Sunghoon [1 ]
Kim, Min-Jung [1 ]
Lee, Joon-Ho [1 ,2 ]
机构
[1] Seoul Natl Univ, Dept Agr Biotechnol, Entomol Program, Seoul 08826, South Korea
[2] Seoul Natl Univ, Res Inst Agr & Life Sci, Seoul 08826, South Korea
来源
FORESTS | 2019年 / 10卷 / 06期
关键词
Ricania shantungensis; CLIMAX; MaxEnt; SADIE; species distribution model; SPECIES DISTRIBUTION MODELS;
D O I
10.3390/f10060490
中图分类号
S7 [林业];
学科分类号
0829 ; 0907 ;
摘要
Since the first report on its occurrence in 2010, Ricania shantungensis Chou & Lu in Korea has quickly spread. This pest population in agricultural areas has increased by over 100% each year and has caused serious economic damage in the last few years. This study was conducted to predict the potential habitat and the current and future distribution of R. shantungensis in Korea using CLIMEX and the Maximum Entropy Model (MaxEnt), and to suggest a new parameter selection method for both modeling programs. Weights of variables used in CLIMEX and those used in MaxEnt were determined using spatial association indices of spatial analysis by distance indices (SADIE). Weather data of Zhejiang province in China and those of all Korean territories were compared with Climate Matching in CLIMEX. MaxEnt was applied and evaluated with 295 data points on the presence and absence of R. shantungensis and eight environmental variables that were preselected by spatial and correlation tests. In MaxEnt, maximum temperature of the warmest month, annual mean temperature, mean temperature of the coldest month, and precipitation of the driest month were determined to be the most important variables affecting the distribution of R. shantungensis in Korea. The results of this study indicated that R. shantungensis had a higher probability of occurrence in western areas than in eastern areas of Korea, and showed great potential to spread eastward. These results are expected to be helpful for managing R. shantungensis in Korea and selecting relevant environmental variables for species distribution modeling.
引用
收藏
页数:14
相关论文
共 37 条
  • [11] A statistical explanation of MaxEnt for ecologists
    Elith, Jane
    Phillips, Steven J.
    Hastie, Trevor
    Dudik, Miroslav
    Chee, Yung En
    Yates, Colin J.
    [J]. DIVERSITY AND DISTRIBUTIONS, 2011, 17 (01) : 43 - 57
  • [12] Species Distribution Models: Ecological Explanation and Prediction Across Space and Time
    Elith, Jane
    Leathwick, John R.
    [J]. ANNUAL REVIEW OF ECOLOGY EVOLUTION AND SYSTEMATICS, 2009, 40 : 677 - 697
  • [13] Hijmans R.J., DIVA GIS FREE GIS BI
  • [14] Which is the optimal sampling strategy for habitat suitability modelling
    Hirzel, A
    Guisan, A
    [J]. ECOLOGICAL MODELLING, 2002, 157 (2-3) : 331 - 341
  • [15] Jo SJ., 2014, J. Tree Health, V19, P35
  • [16] Insect distribution in response to climate change based on a model: Review of function and use of CLIMEX
    Jung, Jae-Min
    Lee, Wang-Hee
    Jung, Sunghoon
    [J]. ENTOMOLOGICAL RESEARCH, 2016, 46 (04) : 223 - 235
  • [17] Kang D.W., 2016, P 2016 FALL M KOR SO
  • [18] Kim Dong Eon, 2015, Korean Journal of Applied Entomology, V54, P179, DOI 10.5656/KSAE.2015.06.0.011
  • [19] Kim Dong Hwan, 2017, Korean Journal of Applied Entomology, V56, P357, DOI 10.5656/KSAE.2017.10.0.028
  • [20] The importance of correcting for sampling bias in MaxEnt species distribution models
    Kramer-Schadt, Stephanie
    Niedballa, Juergen
    Pilgrim, John D.
    Schroeder, Boris
    Lindenborn, Jana
    Reinfelder, Vanessa
    Stillfried, Milena
    Heckmann, Ilja
    Scharf, Anne K.
    Augeri, Dave M.
    Cheyne, Susan M.
    Hearn, Andrew J.
    Ross, Joanna
    Macdonald, David W.
    Mathai, John
    Eaton, James
    Marshall, Andrew J.
    Semiadi, Gono
    Rustam, Rustam
    Bernard, Henry
    Alfred, Raymond
    Samejima, Hiromitsu
    Duckworth, J. W.
    Breitenmoser-Wuersten, Christine
    Belant, Jerrold L.
    Hofer, Heribert
    Wilting, Andreas
    [J]. DIVERSITY AND DISTRIBUTIONS, 2013, 19 (11) : 1366 - 1379