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.
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页数:14
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共 37 条
  • [1] [Anonymous], 1982, The insects, structure and function
  • [2] Baek S, 2015, THESIS W VIRGINIA U
  • [3] Spatial filtering to reduce sampling bias can improve the performance of ecological niche models
    Boria, Robert A.
    Olson, Link E.
    Goodman, Steven M.
    Anderson, Robert P.
    [J]. ECOLOGICAL MODELLING, 2014, 275 : 73 - 77
  • [4] A quantitative synthesis of the importance of variables used in MaxEnt species distribution models
    Bradie, Johanna
    Leung, Brian
    [J]. JOURNAL OF BIOGEOGRAPHY, 2017, 44 (06) : 1344 - 1361
  • [5] Selecting from correlated climate variables: a major source of uncertainty for predicting species distributions under climate change
    Braunisch, Veronika
    Coppes, Joy
    Arlettaz, Raphael
    Suchant, Rudi
    Schmid, Hans
    Bollmann, Kurt
    [J]. ECOGRAPHY, 2013, 36 (09) : 971 - 983
  • [6] Presence-absence versus presence-only modelling methods for predicting bird habitat suitability
    Brotons, L
    Thuiller, W
    Araújo, MB
    Hirzel, AH
    [J]. ECOGRAPHY, 2004, 27 (04) : 437 - 448
  • [7] Choi Yong-Seok, 2017, Korean Journal of Applied Entomology, V56, P319, DOI 10.5656/KSAE.2017.09.0.023
  • [8] Chou I, 1985, Economic Insect Fauna of China, Fasc. 36, Homoptera Fulgoroidea
  • [9] Collinearity: a review of methods to deal with it and a simulation study evaluating their performance
    Dormann, Carsten F.
    Elith, Jane
    Bacher, Sven
    Buchmann, Carsten
    Carl, Gudrun
    Carre, Gabriel
    Garcia Marquez, Jaime R.
    Gruber, Bernd
    Lafourcade, Bruno
    Leitao, Pedro J.
    Muenkemueller, Tamara
    McClean, Colin
    Osborne, Patrick E.
    Reineking, Bjoern
    Schroeder, Boris
    Skidmore, Andrew K.
    Zurell, Damaris
    Lautenbach, Sven
    [J]. ECOGRAPHY, 2013, 36 (01) : 27 - 46
  • [10] Transferability of species distribution models: The case of Phytophthora cinnamomi in Southwest Spain and Southwest Australia
    Duque-Lazo, J.
    van Gils, H.
    Groen, T. A.
    Navarro-Cerrillo, R. M.
    [J]. ECOLOGICAL MODELLING, 2016, 320 : 62 - 70