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Biotic predictors with phenological information improve range estimates for migrating monarch butterflies in Mexico
https://oist.repo.nii.ac.jp/records/1345
https://oist.repo.nii.ac.jp/records/1345908d48e7-d13b-48a1-8441-58c6739a3c82
名前 / ファイル | ライセンス | アクション |
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Kass_et_al-2019-Ecography (2.1 MB)
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Item type | 学術雑誌論文 / Journal Article(1) | |||||
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公開日 | 2020-04-03 | |||||
タイトル | ||||||
言語 | en | |||||
タイトル | Biotic predictors with phenological information improve range estimates for migrating monarch butterflies in Mexico | |||||
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) |
Kass, Jamie M.
× Kass, Jamie M.× Anderson, Robert P.× Espinosa‐Lucas, Alejandro× Juárez‐Jaimes, Verónica× Martínez‐Salas, Esteban× Botello, Francisco× Tavera, Gloria× Flores‐Martínez, José Juan× Sánchez‐Cordero, Víctor |
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書誌情報 |
en : Ecography 巻 43, 号 3, p. 341-352, 発行日 2019-12-01 |
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抄録 | ||||||
内容記述タイプ | Other | |||||
内容記述 | Although long-standing theory suggests that biotic variables are only relevant at local scales for explaining the patterns of species' distributions, recent studies have demonstrated improvements to species distribution models (SDMs) by incorporating predictor variables informed by biotic interactions. However, some key methodological questions remain, such as which kinds of interactions are permitted to include in these models, how to incorporate the effects of multiple interacting species, and how to account for interactions that may have a temporal dependence. We addressed these questions in an effort to model the distribution of the monarch butterfly Danaus plexippus during its fall migration (September-November) through Mexico, a region with new monitoring data and uncertain range limits even for this well-studied insect. We estimated species richness of selected nectar plants (Asclepias spp.) and roosting trees (various highland species) for use as biotic variables in our models. To account for flowering phenology, we additionally estimated nectar plant richness of flowering species per month. We evaluated three types of models: climatic variables only (abiotic), plant richness estimates only (biotic) and combined (abiotic and biotic). We selected models with AICc and additionally determined if they performed better than random on spatially withheld data. We found that the combined models accounting for phenology performed best for all three months, and better than random for discriminatory ability but not omission rate. These combined models also produced the most ecologically realistic spatial patterns, but the modeled response for nectar plant richness matched ecological predictions for November only. These results represent the first model-based monarch distributional estimates for the Mexican migration route and should provide foundations for future conservation work. More generally, the study demonstrates the potential benefits of using SDM-derived richness estimates and phenological information for biotic factors affecting species distributions. | |||||
出版者 | ||||||
出版者 | John Wiley & Sons Ltd | |||||
ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 0906-7590 | |||||
ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 1600-0587 | |||||
DOI | ||||||
関連タイプ | isIdenticalTo | |||||
識別子タイプ | DOI | |||||
関連識別子 | info:doi/10.1111/ecog.04886 | |||||
権利 | ||||||
権利情報 | © 2019 The Author(s) | |||||
情報源 | ||||||
関連名称 | https://creativecommons.org/licenses/by/3.0/ | |||||
関連サイト | ||||||
識別子タイプ | URI | |||||
関連識別子 | https://onlinelibrary.wiley.com/doi/full/10.1111/ecog.04886 | |||||
著者版フラグ | ||||||
出版タイプ | VoR | |||||
出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 |