Techniques for presence-only species distribution modelling

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  • Ishihama Fumiko
    National Institute for Environmental Studies, Center for Environmental Biology and Ecosystem Studies

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  • 標本情報等の分布推定への活用とその実際： バイアスの除去から精度評価まで
  • ヒョウホン ジョウホウ トウ ノ ブンプ スイテイ エ ノ カツヨウ ト ソノ ジッサイ : バイアス ノ ジョキョ カラ セイド ヒョウカ マデ

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Abstract

Presence-only data are distribution records without absence information, such as museum specimens and chance observation data obtained in civil surveys. Recently established open databases, such as the Global Biodiversity Information Facility (GBIF), have promoted the use of presence-only data to estimate species distributions for various conservation purposes. However, the lack of absence data may bias distributions estimated only with presence-only data. To apply species distribution models with presence-only data for conservation purposes, we require a detailed understanding of the logic behind the model and data handling, and should consider factors such as sampling biases pertaining to the area and time of surveys, pseudo-absence data in relation to sampling biases, the validity and reliability of the estimated distribution, and how to assess accuracy and precision evaluation indices. Here, I review international reports and introduce recent advances in species distribution modelling using presence-only data.

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