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231225s2021 xx |||||o 00| ||eng c |
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|a 10.1111/cobi.13706
|2 doi
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|a pubmed24n1076.xml
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|a (NLM)33749027
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|a DE-627
|b ger
|c DE-627
|e rakwb
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| 041 |
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|a eng
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| 100 |
1 |
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|a Correia, Ricardo A
|e verfasserin
|4 aut
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| 245 |
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|a Digital data sources and methods for conservation culturomics
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| 264 |
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|c 2021
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| 336 |
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
|b c
|2 rdamedia
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| 338 |
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|a ƒa Online-Ressource
|b cr
|2 rdacarrier
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| 500 |
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|a Date Completed 26.04.2021
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| 500 |
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|a Date Revised 26.04.2021
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|a published: Print-Electronic
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|a Citation Status MEDLINE
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| 520 |
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|a © 2021 The Authors. Conservation Biology published by Wiley Periodicals LLC on behalf of Society for Conservation Biology.
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| 520 |
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|a Ongoing loss of biological diversity is primarily the result of unsustainable human behavior. Thus, the long-term success of biodiversity conservation depends on a thorough understanding of human-nature interactions. Such interactions are ubiquitous but vary greatly in time and space and are difficult to monitor efficiently at large spatial scales. However, the Information Age also provides new opportunities to better understand human-nature interactions because many aspects of daily life are recorded in a variety of digital formats. The emerging field of conservation culturomics aims to take advantage of digital data sources and methods to study human-nature interactions and thus to provide new tools for studying conservation at relevant temporal and spatial scales. Nevertheless, technical challenges associated with the identification, access, and analysis of relevant data hamper the wider adoption of culturomics methods. To help overcome these barriers, we propose a conservation culturomics research framework that addresses data acquisition, analysis, and inherent biases. The main sources of culturomic data include web pages, social media, and other digital platforms from which metrics of content and engagement can be obtained. Obtaining raw data from these platforms is usually desirable but requires careful consideration of how to access, store, and prepare the data for analysis. Methods for data analysis include network approaches to explore connections between topics, time-series analysis for temporal data, and spatial modeling to highlight spatial patterns. Outstanding challenges associated with culturomics research include issues of interdisciplinarity, ethics, data biases, and validation. The practical guidance we offer will help conservation researchers and practitioners identify and obtain the necessary data and carry out appropriate analyses for their specific questions, thus facilitating the wider adoption of culturomics approaches for conservation applications
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| 650 |
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|a Journal Article
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| 650 |
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4 |
|a Research Support, Non-U.S. Gov't
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| 650 |
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4 |
|a ciencia guiada por datos
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| 650 |
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4 |
|a contenido digital
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| 650 |
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4 |
|a data-driven science
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| 650 |
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4 |
|a digital content
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| 650 |
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4 |
|a digital methods
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| 650 |
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4 |
|a human-nature interactions
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| 650 |
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4 |
|a interacciones humano-naturaleza
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| 650 |
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4 |
|a marco de trabajo de investigación
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| 650 |
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4 |
|a métodos digitales
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| 650 |
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4 |
|a research framework
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| 650 |
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4 |
|a 人与自然的互动
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| 650 |
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4 |
|a 数字内容
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| 650 |
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4 |
|a 数字方法
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| 650 |
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4 |
|a 数据驱动的科学
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| 650 |
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4 |
|a 研究框架
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| 700 |
1 |
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|a Ladle, Richard
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Jarić, Ivan
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Malhado, Ana C M
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Mittermeier, John C
|e verfasserin
|4 aut
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| 700 |
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|a Roll, Uri
|e verfasserin
|4 aut
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| 700 |
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|a Soriano-Redondo, Andrea
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Veríssimo, Diogo
|e verfasserin
|4 aut
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| 700 |
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|a Fink, Christoph
|e verfasserin
|4 aut
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| 700 |
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|a Hausmann, Anna
|e verfasserin
|4 aut
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| 700 |
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|a Guedes-Santos, Jhonatan
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Vardi, Reut
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Di Minin, Enrico
|e verfasserin
|4 aut
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| 773 |
0 |
8 |
|i Enthalten in
|t Conservation biology : the journal of the Society for Conservation Biology
|d 1999
|g 35(2021), 2 vom: 30. Apr., Seite 398-411
|w (DE-627)NLM098176803
|x 1523-1739
|7 nnns
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| 773 |
1 |
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|g volume:35
|g year:2021
|g number:2
|g day:30
|g month:04
|g pages:398-411
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| 856 |
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|u http://dx.doi.org/10.1111/cobi.13706
|3 Volltext
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