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Spatially explicit approach to estimation of total population abundance in field surveys
https://oist.repo.nii.ac.jp/records/781
https://oist.repo.nii.ac.jp/records/781e509f8de-ec26-4aa3-825b-273958c25238
名前 / ファイル | ライセンス | アクション |
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Takashin_et_al_JTB_2018 (567.2 kB)
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Creative Commons
Attribution-NonCommercial-NoDerivatives 4.0 International https://creativecommons.org/licenses/by-nc-nd/4.0/ |
Item type | 学術雑誌論文 / Journal Article(1) | |||||
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公開日 | 2019-05-20 | |||||
タイトル | ||||||
言語 | en | |||||
タイトル | Spatially explicit approach to estimation of total population abundance in field surveys | |||||
言語 | ||||||
言語 | eng | |||||
資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
資源タイプ | journal article | |||||
著者(英) |
Takashina, Nao
× Takashina, Nao× Kusumoto, Buntarou× Beger, Maria× Rathnayake, Suren× Possingham, Hugh P. |
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書誌情報 |
en : Journal of Theoretical Biology 巻 453, p. 88-95, 発行日 2018-05-19 |
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抄録 | ||||||
内容記述タイプ | Other | |||||
内容記述 | Population abundance is fundamental in ecology and conservation biology, and provides essential information for predicting population dynamics and implementing conservation actions. While a range of approaches have been proposed to estimate population abundance based on existing data, data deficiency is ubiquitous. When information is deficient, a population estimation will rely on labor intensive field surveys. Typically, time is one of the critical constraints in conservation, and management decisions must often be made quickly under a data deficient situation. Hence, it is important to acquire a theoretical justification for survey methods to meet a required estimation precision. There is no such theory available in a spatially explicit context, while spatial considerations are critical to any field survey. Here, we develop a spatially explicit theory for population estimation that allows us to examine the estimation precision under different survey designs and individual distribution patterns (e.g. random/clustered sampling and individual distribution). We demonstrate that clustered sampling decreases the estimation precision when individuals form clusters, while sampling designs do not affect the estimation accuracy when individuals are distributed randomly. Regardless of individual distribution, the estimation precision becomes higher with increasing total population abundance and the sampled fraction. These insights provide theoretical bases for efficient field survey designs in information deficiency situations. | |||||
出版者 | ||||||
出版者 | Elsevier Ltd. | |||||
ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 0022-5193 | |||||
PubMed番号 | ||||||
関連タイプ | isVersionOf | |||||
識別子タイプ | PMID | |||||
関連識別子 | info:pmid/29787747 | |||||
DOI | ||||||
関連タイプ | isVersionOf | |||||
識別子タイプ | DOI | |||||
関連識別子 | info:doi/10.1016/j.jtbi.2018.05.013 | |||||
権利 | ||||||
権利情報 | © 2018 Elsevier Ltd. | |||||
関連サイト | ||||||
識別子タイプ | URI | |||||
関連識別子 | https://www.sciencedirect.com/science/article/pii/S0022519318302480?via%3Dihub | |||||
著者版フラグ | ||||||
出版タイプ | AM | |||||
出版タイプResource | http://purl.org/coar/version/c_ab4af688f83e57aa |