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Effects of Sample Size on Accuracy and Stability of Species Distribution Models: A Comparison of GARP and Maxent

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Recent Advances in Computer Science and Information Engineering

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 125))

Abstract

Prediction of species distribution and its changes play an increasingly important role in the fields of ecological protection and application as well as global climate changes. It is impracticable to survey species distribution in large area, especially for rare species; therefore species distribution models are very useful for predicting species distribution. Sampling size has an essential influence on the cost of actual survey and the accuracy of model prediction. Generally, the larger sample size, the higher accuracy of models, but with the more cost of survey. It is necessary to research species distribution models to get the highest accuracy but with the least sample size. Taking 31 different sample sizes (5, 10, 15, 20, 25, 30, 40, 50, 60, 70, 80, 90, 100, 120, 150, 180, 200, 220, 250, 300, 350, 400, 450, 500, 550, 600, 650, 700, 800, 900, 1000 and 1200) of 4 species as an example, this study analyzed the influence of different sample sizes on accuracy and stability of both MaxEnt (Maximum Entropy Species Prediction Model) and GARP(Genetic Algorithm for Rule-set Production). The results showed that both the accuracy and stability of two models increased with the sample size. And the two models had different predictive results to different species. The omission values of GARP were always smaller than that of MaxEnt at the same sample size to all species.

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Authors and Affiliations

  1. Research Institute of Forest Resources Information Techniques, Chinese Academy of Forestry, Beijing, 100091, P.R. China

    Xinmei Chen & Yuancai Lei

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  1. Xinmei Chen
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  2. Yuancai Lei
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Correspondence to Xinmei Chen .

Editor information

Editors and Affiliations

  1. , College of Communication Engineering, Jilin University, Room 313, Building No.1, Changchun, Nanhu Avenue 5372, Jilin, 130012, China, People's Republic

    Zhihong Qian

  2. , Department of Electrical Engineering, The University of Mississippi, Anderson Hall 314, Mississippi, 38677, Mississippi, USA

    Lei Cao

  3. , Department of Electrical and Computer En, Naval Postgraduate School, Rm. 452 Spanagel Bldg. 232, Dyer Road 833, Monterey, 93943-5121, California, USA

    Weilian Su

  4. , Faculty of Computing, London Metropolitan University, Holloway Road 166-220, London, N7 8DB, United Kingdom

    Tingkai Wang

  5. , College of Software, Changchun University of Science and Tech, Changchun, Jilin, 130022, China, People's Republic

    Huamin Yang

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© 2012 Springer-Verlag GmbH Berlin Heidelberg

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Chen, X., Lei, Y. (2012). Effects of Sample Size on Accuracy and Stability of Species Distribution Models: A Comparison of GARP and Maxent. In: Qian, Z., Cao, L., Su, W., Wang, T., Yang, H. (eds) Recent Advances in Computer Science and Information Engineering. Lecture Notes in Electrical Engineering, vol 125. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25789-6_80

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  • DOI: https://doi.org/10.1007/978-3-642-25789-6_80

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25788-9

  • Online ISBN: 978-3-642-25789-6

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