Citizen Scientist Engagement in Mammal Monitoring through Mammalweb

公民科学家通过 Mammalweb 参与哺乳动物监测

基本信息

  • 批准号:
    2057909
  • 负责人:
  • 金额:
    --
  • 依托单位:
  • 依托单位国家:
    英国
  • 项目类别:
    Studentship
  • 财政年份:
    2018
  • 资助国家:
    英国
  • 起止时间:
    2018 至 无数据
  • 项目状态:
    已结题

项目摘要

Increasingly, the threats to biodiversity operate over large spatial scales [1]. To understand these threats and to manage their impacts, it is essential that we monitor biodiversity over correspondingly large scales [2]. For some taxa, such as birds and butterflies, this already occurs thanks to the efforts of large numbers of volunteers who record abundance of their taxa of interest using standardised protocols. Mammals are of similar interest to the public but, relative to these other taxa, have been monitored poorly [3]. This is problematic because of the ecological [4], economic [5] and cultural [6] significance of many mammal species. The relatively poor monitoring of mammals is largely attributable to their low detectability: many species are nocturnal, elusive, or rare [7]. Passive infra-red camera traps can be deployed for long periods to photograph passing wildlife, and offer significant potential to enhance the monitoring of mammals [8]. However the use of camera traps for widespread monitoring brings with it significant hurdles. Principally, these include the logistical difficulties of deploying and servicing cameras over large spatial scales, and the burden of classifying the contents of - potentially - thousands of images per camera-year [9]. This suggests that the recruitment and retention of volunteer "citizen scientists" may be of fundamental importance to a successful programme of mammal monitoring with camera traps. Indeed, the pressing need for volunteer amateur naturalists (citizen scientists) to participate in data collection for biodiversity monitoring programmes in Europe has long been recognised [10]. MammalWeb was designed by Durham University in collaboration with Durham Wildlife Trust (DWT) to involve citizen scientists in mammal monitoring with camera traps (www.mammalweb.org; Figure 1). Volunteers deploy camera traps and upload the resultant images and associated meta-data, and/or classify the growing bank of images to yield 'consensus classifications' of the image content. To date, nearly 70 volunteers have been trained to deploy camera traps associations of wild mammals in the area, and have been fed into local and national databases (e.g. Environmental Records Information Centre North East; National Biodiversity Network). MammalWeb has had considerable success at a local level but important challenges remain as the platform and approach is rolled out more widely. One particular issues centres on volunteer engagement, especially in the context of achieving sufficient image classifications. Here, in particular, there is a need to examine motivations of citizen scientists, building on previous work to understand the features that facilitate recruitment, retention and motivations of volunteer participants in biodiversity monitoring [10] to ensure their long-term engagement. A second challenge relates to making the most of the data in order to drive end-user engagement. Here, there is a need to ensure that the data are available for use by a broad spectrum of people (students, teachers, scientists, NGOs, government agencies, land managers, and policy makers) since feedback from these communities helps identify development priorities [11]. This project will tackle both of those challenges, focusing on understanding and increasing volunteer engagement and the value of the data generated by the MammalWeb project. The most fundamental contribution will thus be to ensure volunteer involvement at all 3 levels of engagement [12]: citizens as sensors; citizens as basic data interpreters; and involvement in problem definition and analysis. Through enhancing citizen scientist engagement with ecological data the project has the opportunity to make a profound difference to mammal monitoring in the UK.
对生物多样性的威胁越来越多地在大的空间尺度上发生[1]。为了了解这些威胁并管理其影响,我们必须在相应的大尺度上监测生物多样性[2]。对于一些分类群,如鸟类和蝴蝶,这已经发生了,这要归功于大量志愿者的努力,他们使用标准化的协议记录了大量感兴趣的分类群。哺乳动物对公众也有类似的兴趣,但相对于其他类群,监测得很差[3]。这是有问题的,因为许多哺乳动物物种的生态[4],经济[5]和文化[6]意义。对哺乳动物的监测相对较差,主要是由于它们的可检测性较低:许多物种是夜行性的,难以捉摸的或罕见的[7]。被动红外相机陷阱可以长时间部署,以拍摄经过的野生动物,并提供显着的潜力,以加强对哺乳动物的监测[8]。然而,使用相机陷阱进行广泛监测带来了重大障碍。主要地,这些包括在大空间尺度上部署和维护相机的后勤困难,以及对每个相机年可能数千张图像的内容进行分类的负担[9]。这表明,招募和留住志愿“公民科学家”可能是一个成功的哺乳动物监测与相机陷阱方案的根本重要性。事实上,志愿业余自然学家(公民科学家)参与欧洲生物多样性监测计划的数据收集的迫切需要早已得到认可。MammalWeb是由达勒姆大学与达勒姆野生动物信托基金会(DWT)合作设计的,目的是让公民科学家参与使用相机陷阱监测哺乳动物(www.mammalweb.org;图1)。志愿者部署相机陷阱并上传所得到的图像和相关联的元数据,和/或对不断增长的图像库进行分类以产生图像内容的“共识分类”。迄今为止,已经培训了近70名志愿者,以便在该地区的野生哺乳动物协会中部署相机陷阱,并将其输入地方和国家数据库(例如东北环境记录信息中心;国家生物多样性网络)。MammalWeb在地方一级取得了相当大的成功,但随着该平台和方法的更广泛推广,仍然存在重大挑战。一个特别的问题是志愿人员的参与,特别是在实现充分的图像分类方面。在这方面,特别需要研究公民科学家的动机,在以前工作的基础上了解促进生物多样性监测志愿参与者的招募,保留和动机的特征,以确保他们的长期参与。第二个挑战是如何充分利用数据,以推动最终用户的参与。在这方面,有必要确保数据可供广泛的人(学生、教师、科学家、非政府组织、政府机构、土地管理者和决策者)使用,因为这些社区的反馈有助于确定发展优先事项。该项目将应对这两个挑战,重点是了解和增加志愿人员的参与以及MammalWeb项目产生的数据的价值。因此,最根本的贡献将是确保志愿人员参与所有三个层次的参与[12]:公民作为传感器;公民作为基本数据的解释者;以及参与问题的定义和分析。通过加强公民科学家对生态数据的参与,该项目有机会对英国的哺乳动物监测产生深远的影响。

项目成果

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其他文献

吉治仁志 他: "トランスジェニックマウスによるTIMP-1の線維化促進機序"最新医学. 55. 1781-1787 (2000)
Hitoshi Yoshiji 等:“转基因小鼠中 TIMP-1 的促纤维化机制”现代医学 55. 1781-1787 (2000)。
  • DOI:
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  • 影响因子:
    0
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LiDAR Implementations for Autonomous Vehicle Applications
  • DOI:
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    0
  • 作者:
  • 通讯作者:
生命分子工学・海洋生命工学研究室
生物分子工程/海洋生物技术实验室
  • DOI:
  • 发表时间:
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    0
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吉治仁志 他: "イラスト医学&サイエンスシリーズ血管の分子医学"羊土社(渋谷正史編). 125 (2000)
Hitoshi Yoshiji 等人:“血管医学与科学系列分子医学图解”Yodosha(涉谷正志编辑)125(2000)。
  • DOI:
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    0
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Effect of manidipine hydrochloride,a calcium antagonist,on isoproterenol-induced left ventricular hypertrophy: "Yoshiyama,M.,Takeuchi,K.,Kim,S.,Hanatani,A.,Omura,T.,Toda,I.,Akioka,K.,Teragaki,M.,Iwao,H.and Yoshikawa,J." Jpn Circ J. 62(1). 47-52 (1998)
钙拮抗剂盐酸马尼地平对异丙肾上腺素引起的左心室肥厚的影响:“Yoshiyama,M.,Takeuchi,K.,Kim,S.,Hanatani,A.,Omura,T.,Toda,I.,Akioka,
  • DOI:
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    0
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的其他文献

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{{ truncateString('', 18)}}的其他基金

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用于实时测量循环生物标志物的植入式生物传感器微系统
  • 批准号:
    2901954
  • 财政年份:
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  • 资助金额:
    --
  • 项目类别:
    Studentship
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利用人类肠道微生物群的多糖分解能力来开发环境可持续的洗碗解决方案
  • 批准号:
    2896097
  • 财政年份:
    2027
  • 资助金额:
    --
  • 项目类别:
    Studentship
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    --
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Likelihood and impact of severe space weather events on the resilience of nuclear power and safeguards monitoring.
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    2908918
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    --
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Proton, alpha and gamma irradiation assisted stress corrosion cracking: understanding the fuel-stainless steel interface
质子、α 和 γ 辐照辅助应力腐蚀开裂:了解燃料-不锈钢界面
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Field Assisted Sintering of Nuclear Fuel Simulants
核燃料模拟物的现场辅助烧结
  • 批准号:
    2908917
  • 财政年份:
    2027
  • 资助金额:
    --
  • 项目类别:
    Studentship
Assessment of new fatigue capable titanium alloys for aerospace applications
评估用于航空航天应用的新型抗疲劳钛合金
  • 批准号:
    2879438
  • 财政年份:
    2027
  • 资助金额:
    --
  • 项目类别:
    Studentship
Developing a 3D printed skin model using a Dextran - Collagen hydrogel to analyse the cellular and epigenetic effects of interleukin-17 inhibitors in
使用右旋糖酐-胶原蛋白水凝胶开发 3D 打印皮肤模型,以分析白细胞介素 17 抑制剂的细胞和表观遗传效应
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    2890513
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    2027
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  • 项目类别:
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CDT 第 1 年,预计 2024 年 10 月
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Understanding the interplay between the gut microbiome, behavior and urbanisation in wild birds
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    2876993
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    2027
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    --
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