Predicting the likely impact of urbanisation on bat populations using citizen science data, a case study for Norfolk, UK

2017 ◽  
Vol 162 ◽  
pp. 44-55 ◽  
Author(s):  
Jennifer A. Border ◽  
Stuart E. Newson ◽  
David C.J. White ◽  
Simon Gillings
Keyword(s):  
Citizen Science ◽  
Science Data

scholarly journals Using citizen science data to monitor the Sustainable Development Goals: a bottom-up analysis

2021 ◽  
Author(s):  
Laura Ballerini ◽  
Sylvia I. Bergh
Keyword(s):  
Sustainable Development ◽  
Citizen Science ◽  
Sustainable Development Goals ◽  
Comparative Case Study ◽  
Science Data ◽  
The Sustainable Development ◽  
Case Study Analysis ◽  
Wide Range ◽  
Development Goals

AbstractOfficial data are not sufficient for monitoring the United Nations Sustainable Development Goals (SDGs): they do not reach remote locations or marginalized populations and can be manipulated by governments. Citizen science data (CSD), defined as data that citizens voluntarily gather by employing a wide range of technologies and methodologies, could help to tackle these problems and ultimately improve SDG monitoring. However, the link between CSD and the SDGs is still understudied. This article aims to develop an empirical understanding of the CSD-SDG link by focusing on the perspective of projects which employ CSD. Specifically, the article presents primary and secondary qualitative data collected on 30 of these projects and an explorative comparative case study analysis. It finds that projects which use CSD recognize that the SDGs can provide a valuable framework and legitimacy, as well as attract funding, visibility, and partnerships. But, at the same time, the article reveals that these projects also encounter several barriers with respect to the SDGs: a widespread lack of knowledge of the goals, combined with frustration and political resistance towards the UN, may deter these projects from contributing their data to the SDG monitoring apparatus.

scholarly journals Citizen science with colour blindness: A case study on the Forel-Ule scale

PLoS ONE ◽  
2021 ◽  
Vol 16 (4) ◽  
pp. e0249755
Author(s):  
Olivier Burggraaff ◽  
Sanjana Panchagnula ◽  
Frans Snik
Keyword(s):  
Citizen Science ◽  
Data Entry ◽  
Science Data ◽  
Training Materials ◽  
Colour Scale ◽  
The Social ◽  
Uncertainty Estimates ◽  
Colour Blindness ◽  
The Impact

Many citizen science projects depend on colour vision. Examples include classification of soil or water types and biological monitoring. However, up to 1 in 11 participants are colour blind. We simulate the impact of various forms of colour blindness on measurements with the Forel-Ule scale, which is used to measure water colour by eye with a 21-colour scale. Colour blindness decreases the median discriminability between Forel-Ule colours by up to 33% and makes several colour pairs essentially indistinguishable. This reduces the precision and accuracy of citizen science data and the motivation of participants. These issues can be addressed by including uncertainty estimates in data entry forms and discussing colour blindness in training materials. These conclusions and recommendations apply to colour-based citizen science in general, including other classification and monitoring activities. Being inclusive of the colour blind increases both the social and scientific impact of citizen science.

Collaborative approaches to accessing and utilising historical citizen science data: a case-study with spearfishers from eastern Australia

2015 ◽  
Vol 66 (3) ◽  
pp. 195 ◽  
Author(s):  
Daniel C. Gledhill ◽  
Alistair J. Hobday ◽  
David J. Welch ◽  
Stephen G. Sutton ◽  
Matthew J. Lansdell ◽  
...  
Keyword(s):  
Environmental Change ◽  
Citizen Science ◽  
Marine Species ◽  
Scientific Data ◽  
Science Data ◽  
Coastal Fish ◽  
Eastern Australia ◽  
Fit For Purpose ◽  
The 1960S

Scientists are increasingly utilising non-traditional data to assist with defining biological baselines and for monitoring environmental change. These data present challenges not encountered with traditional, fit-for-purpose scientific data, including engaging with data owners, building trust and maintaining relationships, analysing and interpreting data collected under varying methodologies, and the possibility that data may not suit an intended purpose. Here we describe engagement activities undertaken with recreational spearfishers to collate and examine spearfishing club data collected from competitions held throughout south-eastern Australia from the 1960s until the present, representing one of the most extensive citizen science datasets for marine species in the region. The data proved suitable for demonstrating change in coastal fish communities, some of which were consistent with expectations given a warming climate over the period considered. With an attitudinal survey of divers we also asked about their experience of environmental change, and interaction with management over recent decades. Mutually beneficial outcomes include: collating and archiving significant data that may otherwise have been lost; improved understanding of spearfisher concerns and experiences; improved engagement between collaborators; and recognition of spearfishers’ desire for better engagement in science and management. Lessons learnt may be broadly applicable to improving collaboration between recreational fishers, citizen science groups, researchers and managers.

scholarly journals Accounting for spatial varying sampling effort due to accessibility in Citizen Science data: A case study of moose in Norway

2020 ◽  
pp. 100446 ◽  
Author(s):  
Jorge Sicacha-Parada ◽  
Ingelin Steinsland ◽  
Benjamin Cretois ◽  
Jan Borgelt
Keyword(s):  
Citizen Science ◽  
Sampling Effort ◽  
Science Data

scholarly journals Assessing citizen science data quality: an invasive species case study

2011 ◽  
Vol 4 (6) ◽  
pp. 433-442 ◽  
Author(s):  
Alycia W. Crall ◽  
Gregory J. Newman ◽  
Thomas J. Stohlgren ◽  
Kirstin A. Holfelder ◽  
Jim Graham ◽  
...  
Keyword(s):  
Invasive Species ◽  
Data Quality ◽  
Citizen Science ◽  
Science Data

scholarly journals Utility of citizen science data: A case study in land-based shark fishing

PLoS ONE ◽  
2019 ◽  
Vol 14 (12) ◽  
pp. e0226782 ◽  
Author(s):  
Kesley J. Gibson ◽  
Matthew K. Streich ◽  
Tara S. Topping ◽  
Gregory W. Stunz
Keyword(s):  
Citizen Science ◽  
Science Data

scholarly journals The Use of Citizen Science to Achieve Multivariate Management Goals on Public Lands

Diversity ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 293
Author(s):  
Sara Souther ◽  
Vincent Randall ◽  
Nanebah Lyndon
Keyword(s):  
Citizen Science ◽  
Land Management ◽  
Ecological Integrity ◽  
Public Land ◽  
Suitable Habitat ◽  
Science Data ◽  
Public Land Management ◽  
Federal Land ◽  
Botanical Research ◽  
Federal Land Management

Federal land management agencies in the US are tasked with maintaining the ecological integrity of over 2 million km2 of land for myriad public uses. Citizen science, operating at the nexus of science, education, and outreach, offers unique benefits to address socio-ecological questions and problems, and thus may offer novel opportunities to support the complex mission of public land managers. Here, we use a case study of an iNaturalist program, the Tribal Nations Botanical Research Collaborative (TNBRC), to examine the use of citizen science programs in public land management. The TNBRC collected 2030 observations of 34 plant species across the project area, while offering learning opportunities for participants. Using occurrence data, we examined observational trends through time and identified five species with 50 or fewer digital observations to investigate as species of possible conservation concern. We compared predictive outcomes of habitat suitability models built using citizen science data and Forest Inventory and Analysis (FIA) data. Models exhibited high agreement, identifying the same underlying predictors of species occurrence and, 95% of the time, identifying the same pixels as suitable habitat. Actions such as staff training on data use and interpretation could enhance integration of citizen science in Federal land management.

scholarly journals Abundant Citizen Science Data Reveal That the Peacock Butterfly Aglais io Recently Became Bivoltine in Belgium

Insects ◽  
2021 ◽  
Vol 12 (8) ◽  
pp. 683
Author(s):  
Marc Herremans ◽  
Karin Gielen ◽  
Jos Van Kerckhoven ◽  
Pieter Vanormelingen ◽  
Wim Veraghtert ◽  
...  
Keyword(s):  
Citizen Science ◽  
Western Europe ◽  
Environmental Changes ◽  
Early Summer ◽  
Science Data ◽  
The Public ◽  
Online Portal ◽  
Spring Generation ◽  
Reproductive Cycles ◽  
New Generation

The peacock butterfly is abundant and widespread in Europe. It is generally believed to be univoltine (one generation per year): adults born in summer overwinter and reappear again in spring to reproduce. However, recent flight patterns in western Europe mostly show three peaks during the year: a first one in spring (overwintering butterflies), a second one in early summer (offspring of the spring generation), and a third one in autumn. It was thus far unclear whether this autumn flight peak was a second new generation or consisted of butterflies flying again in autumn after a summer rest (aestivation). The life cycle of one of Europe’s most common butterflies is therefore still surprisingly inadequately understood. We used hundreds of thousands of observations and thousands of pictures submitted by naturalists from the public to the online portal observation.orgin Belgium and analyzed relations between flight patterns, condition (wear), reproductive cycles, peak abundances, and phenology to clarify the current life history. We demonstrate that peacocks have shifted towards two new generations per year in recent decades. Mass citizen science data in online portals has become increasingly important in tracking the response of biodiversity to rapid environmental changes such as climate change.

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