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Idea paper: Improving forecasts of community composition with lightweight biodiversity monitoring across ecological and anthropogenic disturbance gradients
https://oist.repo.nii.ac.jp/records/2552
https://oist.repo.nii.ac.jp/records/255242fe9d63-caf3-4dbf-b00b-38e3d0417323
名前 / ファイル | ライセンス | アクション |
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Kass-et-al_ideaPaper_2021_ecores_evoecoxriv (678.5 kB)
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Item type | 学術雑誌論文 / Journal Article(1) | |||||
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公開日 | 2022-02-14 | |||||
タイトル | ||||||
言語 | en | |||||
タイトル | Idea paper: Improving forecasts of community composition with lightweight biodiversity monitoring across ecological and anthropogenic disturbance gradients | |||||
言語 | ||||||
言語 | eng | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | community | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | data analysis | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | global change | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | ideas for fundamental questions | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | species distribution modeling | |||||
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.× Takashina, Nao× Friedman, Nicholas R.× Kusumoto, Buntarou× Blair, Mary E. |
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書誌情報 |
en : Ecological Research 発行日 2022-01-17 |
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抄録 | ||||||
内容記述タイプ | Other | |||||
内容記述 | Accurate and up-to-date biodiversity forecasts enable robust planning for environmental management and conservation of landscapes under a wide range of uses. Future predictions of the species composition of ecological communities complement more frequently reported species richness estimates to better characterize the different dimensions of biodiversity. The models that make community composition forecasts are calibrated with data on species' geographic patterns for the present, which may not be good proxies for future patterns. The future establishment of novel communities represents data on species interactions unaccounted for by these models. However, detecting them in a systematic way presents challenges due to the lack of monitoring data for landscapes with high environmental turnover, where such communities are likely to establish. Here, we propose lightweight monitoring over both ecological and anthropogenic disturbance gradients using passive sensors (i.e., those that operate continuously without much human input) to detect novel communities with the aim of updating models that make community composition forecasts. Monitoring over these two gradients should maximize detection of novel communities and improve understanding of relationships between community composition and environmental change. Further, barriers regarding cost and effort are reduced by using relatively few sensors requiring minimal upkeep. Ongoing updates to community composition forecasts based on novel community data and better understanding of the associated uncertainty should improve future decision-making for both resource management and conservation efforts. | |||||
出版者 | ||||||
出版者 | John Wiley & Sons, Inc. | |||||
ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 0912-3814 | |||||
ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 1440-1703 | |||||
DOI | ||||||
関連タイプ | isVersionOf | |||||
識別子タイプ | DOI | |||||
関連識別子 | info:doi/10.1111/1440-1703.12294 | |||||
権利 | ||||||
権利情報 | This is the peer reviewed version of the following article: Kass, J. M. Takashina, N. Friedman, N. R. Kusumoto, B. Blair, M. E. (2022), Idea paper: Improving forecasts of community composition with lightweight biodiversity monitoring across ecological and anthropogenic disturbance gradients. Ecological Research, which has been published in final form at https://esj-journals.onlinelibrary.wiley.com/doi/10.1111/1440-1703.12294. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. This article may not be enhanced, enriched or otherwise transformed into a derivative work, without express permission from Wiley or by statutory rights under applicable legislation. Copyright notices must not be removed, obscured or modified. The article must be linked to Wiley’s version of record on Wiley Online Library and any embedding, framing or otherwise making available the article or pages thereof by third parties from platforms, services and websites other than Wiley Online Library must be prohibited. | |||||
関連サイト | ||||||
識別子タイプ | URI | |||||
関連識別子 | https://esj-journals.onlinelibrary.wiley.com/doi/10.1111/1440-1703.12294 | |||||
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 |