Biodiv Sci ›› 2014, Vol. 22 ›› Issue (2): 223-230. DOI: 10.3724/SP.J.1003.2014.08178
Special Issue: 生物入侵
• Orginal Article • Previous Articles Next Articles
Gengping Zhu1,*(), Qiang Liu1, Yubao Gao2,*(
)
Received:
2013-08-03
Accepted:
2013-10-15
Online:
2014-03-20
Published:
2014-04-03
Contact:
Zhu Gengping,Gao Yubao
Gengping Zhu,Qiang Liu,Yubao Gao. Improving ecological niche model transferability to predict the potential distribution of invasive exotic species[J]. Biodiv Sci, 2014, 22(2): 223-230.
Fig. 1 Exhibition of ecological niche modeling and species distribution modeling. Ecological niche model refers to niche model calibrated in native area (① and ②) and transferred into the introduced area (③), whereas species distribution model refers to niche model calibration without transferring across space (① and ②, dashed area). A, Native suitable area but not colonized due to dispersal limitation; B, Native suitable area but not colonized due to biotic interaction; C, Suitable area in introduced area; D, Realized niche; E, Fundamental niche.
Fig. 2 Effect of environmental space dimensionality on native model transferability (A case study of Halyomorpha halys, adopted from Zhu et al., 2012a). Niche models were constructed based on native range of H. halys and transferred into the US. White dots were used to fit niche model whereas black dots used to test model. Dark color represents high suitability, and light indicates low suitability. Left panel using 10 variables (A), and right panel using six variables (B). When using less environmental variables, niche model transferability was greatly improved.
Fig. 3 Effect of geographic background space on the transferability of niche model: a case study of Spartina alterniflora (adopted from Zhu et al., 2013a). Left panel exhibited the squared (A) and coastal (B) areas used in native niche model calibration. Niche model based on the coastal areas showed high transferability in capturing the introduced records (right panel).
[1] | Acevedo P, Jiménez-Valverde A, Lobo JM, Real R (2012) Delimiting the geographical background in species distribution modeling. Journal of Biogeography, 39, 1383–1390. |
[2] | Anderson RP (2012) Harnessing the world’s biodiversity data: promise and peril in ecological niche modeling of species distributions. Annals of the New York Academy of Sciences, 1260, 66–80. |
[3] | Anderson RP, Gonzalez Jr. I (2011) Species-specific tuning increases robustness to sampling bias in models of species distributions: an implementation with Maxent. Ecological Modelling, 222, 2796–2811. |
[4] | Anderson RP, Raza A (2010) The effect of the extent of the study region on GIS models of species geographic distributions and estimates of niche evolution: preliminary tests with montane rodents (genus Nephelomys) in Venezuela. Journal of Biogeography, 37, 1378–1393. |
[5] | Barve N, Barve V, Jiménez-Valverde A, Lira-Noriega A, Maher SP, Peterson AT, Soberón J, Villalobos F (2011) The crucial role of the accessible area in ecological niche modeling and species distribution modeling. Ecological Modelling, 222, 1810–1819. |
[6] | Bean WT, Stafford R, Brashares JS (2012) The effects of small sample size and sample bias on threshold selection and accuracy assessment of species distribution models. Ecography, 35, 250–258. |
[7] | Broennimann O, Treier UA, Müller-Scharer H, Thuiller W, Peterson AT, Guisan A (2007) Evidence of climatic niche shift during biological invasion. Ecology Letters, 10, 701–709. |
[8] | Chown SL, Terblanche JS (2007) Physiological diversity in insects: ecological and evolutionary contexts. Advances in Insect Physiology, 33, 50–152. |
[9] | Feeley KJ, Silman MR (2011) Keep collecting: accurate species distribution modelling requires more collections than previously thought. Diversity and Distributions, 17, 1132–1140. |
[10] | Fitzpatrick MC, Weltzin JF, Sanders NJ, Dunn RR (2007) The biogeography of prediction error: why does the introduced range of the fire ant over-predict its native range?Global Ecology and Biogeography, 16, 24–33. |
[11] | Grinnell J (1917) The niche-relationships of the California Thrasher. The Auk, 34, 427–433. |
[12] | Hernandez PA, Graham CH, Master LL, Albert DL (2006) The effect of sample size and species characteristics on performance of different species distribution modeling methods. Ecography, 29, 773–785. |
[13] | Hutchinson GE (1957) Concluding remarks. Cold Spring Harbor Symposia on Quantitative Biology, 22, 415–427. |
[14] | Ju RT (鞠瑞亭), Li H (李慧), Shi ZR (石正人), Li B (李博) (2012) Progress of biological invasions research in China over the last decade. Biodiversity Science(生物多样性), 20, 581–611. (in Chinese with English abstract) |
[15] | Li XW (李小文), Cao CX (曹春香), Chang CY (常超一) (2007) The first law of geography and spatial-temporal proximity. Chinese Journal of Nature(自然杂志), 29, 68–71. (in Chinese with English abstract) |
[16] | Martínez-Meyer E, Díaz-Porras D, Peterson AT, Yáñez-Arenas C (2012) Ecological niche structure and rangewide abundance patterns of species. Biology Letters, 9, 20120637. doi: 10.1098/rsbl.2012.0637. |
[17] | Medley KA (2010) Niche shifts during the global invasion of the Asian tiger mosquito, Aedes albopictus Skuse (Culicidae), revealed by reciprocal distribution models. Global Ecology and Biogeography, 19, 122–133. |
[18] | Owens HL, Campbell LP, Dornak L, Saupe EE, Barve N, Soberón J, Ingenloff K, Lira-Noriega A, Hensz CM, Myers CE, Peterson AT (2013) Constraints on interpretation of ecological niche models by limited environmental ranges on calibration areas. Ecological Modelling, 263, 10–18. |
[19] | Papeş M, Gaubert P (2007) Modelling ecological niches from low numbers of occurrences: assessment of the conservation status of poorly known viverrids (Mammalia, Carnivora) across two continents. Diversity and Distributions, 13, 890–902. |
[20] | Pearson RG, Dawson TP (2003) Predicting the impacts of climate change on the distribution of species: are bioclimatic envelope models useful?Global Ecology Biogeography, 12, 361–371. |
[21] | Pearson RG, Raxworthy CJ, Nakamura M, Peterson AT (2007) Predicting species distributions from small numbers of occurrence records: a test case using cryptic geckos in Madagascar. Journal of Biogeography, 34, 102–117. |
[22] | Peterson AT, Soberón J (2012a) Integrating fundamental concepts of ecology, biogeography, and sampling into effective ecological niche modeling and species distribution modeling. Plant Biosystems, 146, 789–796. |
[23] | Peterson AT, Soberón J (2012b) Species distribution modeling and ecological niche modeling: getting the concepts right. Natureza and Conservação, 10, 102–107. |
[24] | Peterson AT, Soberón J, Pearson RG, Anderson RP, Nakamura M, Martínez-Meyer E, Araújo MB (2011) Ecological Niches and Geographical Distributions. Princeton University Press, New Jersey. |
[25] | Rödder D, Schmidtlein S, Veith M, Lötters S (2009) Alien invasive slider turtle in unpredicted habitat: a matter of niche shift or of predictors studied?PLoS ONE, 4, e7843. |
[26] | Saupe E, Barve V, Myers C, Soberón J, Barve N, Hensz C, Peterson AT, Owens HL, Lira-Noriega A (2012) Variation in niche and distribution model performance: the need for a priori assessment of key causal factors. Ecological Modelling, 237–238, 11–22. |
[27] | Tobler ERW (1970) A computer movie simulating urban growth in the Detroit region. Economic Geography, 46, 234–240. |
[28] | Václavík T, Meentemeyer RK (2012) Equilibrium or not? Modelling potential distribution of invasive species in different stages of invasion. Diversity and Distributions, 18, 73–83. |
[29] | Verbruggen H, Tyberghein L, Belton GS, Mineur F, Jueterbock A, Hoarau G, Gurgel CFD, Clerck OD (2013) Improving transferability of introduced species’ distribution models: new tools to forecast the spread of a highly invasive seaweed. PLoS ONE, 8, e68337. |
[30] | Wang Q (王卿), An SQ (安树青), Ma ZJ (马志军), Zhao B (赵斌), Chen JK (陈家宽), Li B (李博) (2006) Invasive Spartina alterniflora: biology, ecology and management. Acta Phytotaxonomica Sinica(植物分类学报), 44, 559–588. (in Chinese with English abstract). |
[31] | Wisz MS, Hijmans RJ, Li J, Peterson AT, Graham CH, Guisan A, NCEAS Predicting Species Distributions Working Group (2008) Effects of sample size on the performance of species distribution models. Diversity and Distributions, 14, 763–773. |
[32] | Zhu GP, Bu WJ, Gao YB, Liu GQ (2012a) Potential geographic distribution of Brown Marmorated Stink Bug invasion (Halyomorpha halys). PLoS ONE, 7, e31246. |
[33] | Zhu GP, Gao YB, Zhu L (2013a) Delimiting the coastal geographic background to predict potential distribution of Spartina alterniflora. Hydrobiologia, 717, 177–187. |
[34] | Zhu GP (朱耿平), Liu GQ (刘国卿), Bu WJ (卜文俊), Gao YB (高玉葆) (2013) Ecological niche modeling and its applications in biodiversity conservation. Biodiversity Science(生物多样性), 21, 90–98. (in Chinese with English abstract) |
[35] | Zhu GP, Petersen MJ, Bu WJ (2012b) Selecting biological meaningful environmental dimensions of low discrepancy among ranges to predict potential distribution of bean plataspid invasion. PLoS ONE, 7, e46247. |
[36] | Zhu GP, Rédei D, Kment P, Bu WJ (2013b) Effect of geographic background and equilibrium state on niche model transferability: predicting areas of invasion of Leptoglossus occidentalis. Biological Invasions, doi: 10.1007/s10530- 013-0559-z. |
[37] | Zimmermann NE, Yoccoz NG, Edwards TC, Meier ES, Thuiller W, Guisan A, Schmatz DR, Pearman PB (2009) Climatic extremes improve predictions of spatial patterns of tree species. Proceedings of the National Academy of Sciences, USA, 106, 19723–19728. |
[1] | Lixia Han, Yongjian Wang, Xuan Liu. Comparisons between non-native species invasion and native species range expansion [J]. Biodiv Sci, 2024, 32(1): 23396-. |
[2] | Jiajia Pu, Pingjun Yang, Yang Dai, Kexin Tao, Lei Gao, Yuzhou Du, Jun Cao, Xiaoping Yu, Qianqian Yang. Species identification and population genetic structure of non-native apple snails (Ampullariidea: Pomacea) in the lower reaches of the Yangtze River [J]. Biodiv Sci, 2023, 31(3): 22346-. |
[3] | Bo Wei, Linshan Liu, Changjun Gu, Haibin Yu, Yili Zhang, Binghua Zhang, Bohao Cui, Dianqing Gong, Yanli Tu. The climate niche is stable and the distribution area of Ageratina adenophora is predicted to expand in China [J]. Biodiv Sci, 2022, 30(8): 21443-. |
[4] | Yanjie Liu, Wei Huang, Qiang Yang, Yu-Long Zheng, Shao-Peng Li, Hao Wu, Ruiting Ju, Yan Sun, Jianqing Ding. Research advances of plant invasion ecology over the past 10 years [J]. Biodiv Sci, 2022, 30(10): 22438-. |
[5] | Jing Yan, Xiaoling Yan, Huiru Li, Cheng Du, Jinshuang Ma. Composition, time of introduction and spatial-temporal distribution of naturalized plants in East China [J]. Biodiv Sci, 2021, 29(4): 428-438. |
[6] | He Weiming. Biological invasions: Are their impacts precisely knowable or not? [J]. Biodiv Sci, 2020, 28(2): 253-255. |
[7] | Zhang Jiazhen, Gao Chunlei, Li Yan, Sun Ping, Wang Zongling. Species composition of dinoflagellates cysts in ballast tank sediments of foreign ships berthed in Jiangyin Port [J]. Biodiv Sci, 2020, 28(2): 144-154. |
[8] | Wandong Yin, Mingke Wu, Baoliang Tian, Hongwei Yu, Qiyun Wang, Jianqing Ding. Effects of bio-invasion on the Yellow River basin ecosystem and its countermeasures [J]. Biodiv Sci, 2020, 28(12): 1533-1545. |
[9] | Li Hanxi, Huang Xuena, Li Shiguo, Zhan Aibin. Environmental DNA (eDNA)-metabarcoding-based early monitoring and warning for invasive species in aquatic ecosystems [J]. Biodiv Sci, 2019, 27(5): 491-504. |
[10] | Yu Wensheng,Guo Yaolin,Jiang Jiajia,Sun Keke,Ju Ruiting. Comparison of the life history of a native insect Laelia coenosa with a native plant Phragmites australis and an invasive plant Spartina alterniflora [J]. Biodiv Sci, 2019, 27(4): 433-438. |
[11] | Shiguo Sun,Bin Lu,Xinmin Lu,Shuangquan Huang. On reproductive strategies of invasive plants and their impacts on native plants [J]. Biodiv Sci, 2018, 26(5): 457-467. |
[12] | Yan Sun, Zhongshi Zhou, Rui Wang, Heinz Müller-Schärer. Biological control opportunities of ragweed are predicted to decrease with climate change in East Asia [J]. Biodiv Sci, 2017, 25(12): 1285-1294. |
[13] | Junwei Ye, Yongge Yuan, Li Cai, Xiaojuan Wang. Research progress of phylogeographic studies of plant species in temperate coniferous and broadleaf mixed forests in Northeastern China [J]. Biodiv Sci, 2017, 25(12): 1339-1349. |
[14] | Gengping Zhu, Huijie Qiao. Effect of the Maxent model’s complexity on the prediction of species potential distributions [J]. Biodiv Sci, 2016, 24(10): 1189-1196. |
[15] | You Nong, Lu Zheng, Hongyan Jia, Lihua Lu, Dewei Huang, Bohua Huang, Liqun Lei. Community characteristics and spatial distribution of dominant tree species in a secondary forest of Daqing Mountains, southwestern Guangxi, China [J]. Biodiv Sci, 2015, 23(3): 321-331. |
Viewed | ||||||
Full text |
|
|||||
Abstract |
|
|||||
Copyright © 2022 Biodiversity Science
Editorial Office of Biodiversity Science, 20 Nanxincun, Xiangshan, Beijing 100093, China
Tel: 010-62836137, 62836665 E-mail: biodiversity@ibcas.ac.cn