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Using geotagged crowdsourced data to assess the diverse socio-cultural values of conservation areas: England as a case study
Ecology and Society ( IF 4.1 ) Pub Date : 2023-12-01 , DOI: 10.5751/es-14330-280428
Merry Crowson , Nick Isaac , Andrew Wade , Ken Norris , Robin Freeman , Nathalie Pettorelli

Humanity benefits immensely from nature, including through cultural ecosystem services. Geotagged crowdsourced data provide an opportunity to characterize these services at large scales. Flickr data, for example, have been widely used as an indicator of recreational value, while Wikipedia data are increasingly being used as a measure of public interest, potentially capturing often overlooked and less-tangible aspects of socio-cultural values (such as educational, inspirational, and spiritual values). So far, few studies have explored how various geotagged crowdsourced data complement each other, or how correlated these may be, particularly at national scales. To address this knowledge gap, we compare Flickr and Wikipedia datasets in their ability to help characterize the sociocultural value of designated areas in England and assess how this value relates to species richness.

Our results show that there was at least one Flickr photo in 35% of all designated areas in England, and at least one Wikipedia page in 60% of them. The Wikipedia and Flickr data were shown not to be independent of each other and were significantly correlated. Species richness was positively and significantly associated with the presence of at least one geotagged Wikipedia page; more biodiverse designated areas, however, were not any more likely to have at least one Flickr photo within them. Our results highlight the potential for new, emerging datasets to capture and communicate the socio-cultural value of nature, building on the strengths of more established crowdsourced data.

The post Using geotagged crowdsourced data to assess the diverse socio-cultural values of conservation areas: England as a case study first appeared on Ecology & Society.



中文翻译:

使用地理标记的众包数据评估保护区的多样化社会文化价值:以英格兰为例

人类从自然中获益匪浅,包括通过文化生态系统服务。地理标记的众包数据提供了大规模表征这些服务的机会。例如,Flickr 数据已被广泛用作娱乐价值的指标,而维基百科数据越来越多地被用作公共利益的衡量标准,有可能捕获社会文化价值中经常被忽视和不太具体的方面(例如教育、鼓舞人心和精神价值)。到目前为止,很少有研究探讨各种地理标记的众包数据如何相互补充,或者这些数据之间的相关性如何,特别是在全国范围内。为了解决这一知识差距,我们比较了 Flickr 和维基百科数据集的能力,以帮助描述英格兰指定地区的社会文化价值,并评估该价值与物种丰富度的关系。

我们的结果显示,英格兰 35% 的指定区域中至少有一张 Flickr 照片,其中 60% 的指定区域中至少有一张维基百科页面。维基百科和 Flickr 的数据被证明不是相互独立的,而是显着相关的。物种丰富度与至少一个带有地理标记的维基百科页面的存在呈正相关且显着相关;然而,生物多样性越丰富的指定区域内至少不会有一张 Flickr 照片。我们的结果强调了新兴数据集在捕捉和传达自然的社会文化价值方面的潜力,建立在更成熟的众包数据的优势之上。

使用地理标记的众包数据来评估保护区的多样化社会文化价值:以英格兰为案例研究的帖子首次出现在《生态与社会》上。

更新日期:2023-12-01
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