Citizen Science and Bird–Distribution Data: AN Opportunity for Geographical Research*

2010 ◽  
Vol 100 (2) ◽  
pp. 263-273 ◽  
Author(s):  
Peter H. Yaukey
2019 ◽  
Vol 41 (2) ◽  
pp. 186
Author(s):  
Candice J. Skelton ◽  
Amelia S. Cook ◽  
Peter West ◽  
Ricky-John Spencer ◽  
Julie M. Old

Citizen science websites and mobile applications are credited for their ability to engage members of the public in science and enhance scientific literacy, while operating as a cost-effective, geographically vast data-collection tool. Recruiting participants, tailoring online platforms to users’ needs and harnessing community values are key to creating a successful, sustainable citizen science project. However, few studies have conducted a detailed examination of the recruitment experience when trying to build an engaged and active citizen science audience to assess wildlife diseases in Australia. The present study aimed to determine the most effective methods to recruit and continue to engage citizens to use the tool called WomSAT (Wombat Survey and Analysis Tools). Various marketing techniques were employed to recruit participants. A survey was also disseminated to gain feedback on WomSAT and understand the driving factors behind participation. Participation in the WomSAT project was driven by a collective desire to help and learn about wombats. Preliminary distribution data collected by citizens suggest that WomSAT contains the necessary elements to enable it to be an important tool for monitoring wombats and the distribution of disease. Continuation of the WomSAT project will support scientific research while fostering conservation messages amongst the Australian community.


2016 ◽  
Vol 78 (4) ◽  
pp. 317-322 ◽  
Author(s):  
Lee W. Cohnstaedt ◽  
Jamie Ladner ◽  
Leslie Rickert Campbell ◽  
Noah Busch ◽  
Roberto Barrera

Nationwide science classes, from elementary through secondary, are placing a larger emphasis on inquiry and authentic experiences. The opportunity for community members (students, teachers, or interested individuals) to collect real data and contribute to a research project is the definition of citizen science. Recent disease outbreaks of mosquito-transmitted pathogens (West Nile, eastern equine encephalitis, dengue, chikungunya, and Zika) demonstrate the need to educate children and adults about the public health risks posed by mosquitoes. This lesson plan has students determine mosquito species and subsequent disease risk around their house and in their community by collecting mosquito eggs and rearing a portion of them to adults. The students identify adult mosquitoes and associated health risks. Furthermore, students and teachers have the option to participate in a national mosquito-species-distribution study by submitting mosquito eggs and adults to the U.S. Department of Agriculture. The data generated by participant submissions will be available to all mosquito submitters, making each student and school part of a larger project. This lesson plan has three objectives beyond the citizen science experience: (1) clarify the individual's role in protecting individuals, communities, and pets from illness; (2) raise awareness of pathogens transmitted by mosquitoes; and (3) participate in a national program to gather mosquito distribution data. The lesson and the associated supplementary material (available at http://www.citizenscience.us) can be used for middle to high school classes, as well as Advanced Placement classes, because the materials and presentations can be easily modified to classroom needs.


2021 ◽  
pp. e01680
Author(s):  
Thomas M. Squires ◽  
Pramana Yuda ◽  
Panji Gusti Akbar ◽  
Nigel J. Collar ◽  
Christian Devenish ◽  
...  

Author(s):  
Laurens Sparrius

Species distribution data is often collected in local and regional atlas projects, in which data is collected in grid squares to ensure optimal data coverage. Nowadays, many different data sources are available, and atlas projects often start with a large number of observations already being available. We show how existing biodiversity data can be used to determine spatial gaps in atlas projects. An citizen science atlas project for vascular plants in the Netherlands shows how existing data are is used to prioritize grid squares with outdated or missing surveys, and grid squares that should be searched for rare and declining species that have been reported in the past. Data from citizen science projects and professional flora surveys are combined in the National Database of Flora and Fauna (www.ndff.nl), which includes the use of data standards and extensive metadata on data collection protocols. This nearly complete database is used in citizen science projects to prioritize the survey of gaps. The concept of a continuously updated atlas scheme is established. Data can be use for several purposes, providing data for the national Red List, as well as reports on protected species, ecological studies, and the eradication of invasive species.


2021 ◽  
Vol 211 ◽  
pp. 104098
Author(s):  
Aimara Planillo ◽  
Lena Fiechter ◽  
Ulrike Sturm ◽  
Silke Voigt-Heucke ◽  
Stephanie Kramer-Schadt

2021 ◽  
Vol 9 ◽  
Author(s):  
Jiří Skuhrovec ◽  
Helen E. Roy ◽  
Peter M. J. Brown ◽  
Karolis Kazlauskis ◽  
Alberto F. Inghilesi ◽  
...  

Wildlife observations submitted by volunteers through citizen science initiatives are increasingly used within research and policy. Ladybirds are popular and charismatic insects, with most species being relatively easy to identify from photographs. Therefore, they are considered an appropriate taxonomic group for engaging people through citizen science initiatives to contribute long-term and large-scale datasets for use in many different contexts. Building on the strengths of a mass participation citizen science survey on ladybirds in the United Kingdom, we have developed a mobile application for ladybird recording and identification across Europe. The main aims of the application are to: (1) compile distribution data for ladybird species throughout Europe, and use this to assess changes in distribution over time; (2) connect and engage people in nature and increase awareness about the diversity and ecological importance of ladybirds. In developing the application we first constructed a database including ladybird species from the United Kingdom, Czech Republic, Slovakia, Italy, Belgium, and Portugal with associated information on relevant morphological features (e.g., size, main color, pronotum pattern) to inform identification. Additionally, the species were assessed on the basis of probability of occurrence within each country which enables users to reduce the number of species to only those with relevance to the location of the recorder. This is amongst the first collaborative citizen science approaches aimed at involving participants across Europe in recording a group of insects. In the near future, we aim to expand the use of the application to all countries in Europe.


2021 ◽  
Author(s):  
Huijie Qiao ◽  
Michael Orr ◽  
Qinmin Yang ◽  
Xiangjiang Zhan ◽  
Fumin Lei ◽  
...  

Birdwatching is a global phenomenon involving many thousands of people. Citizen science generates data providing insights into global patterns of bird distribution across space and time, yet how the pandemic may cast a longer shadow remains unassessed. Here, we explore whether pandemic restrictions influenced observations globally from 2020-May 2021, considering also GDPc and tourism income. We analysed 10,338 bird species (93% of all bird species) and found that whilst high-income regions recover to pre-pandemic assessment rates quickly, middle and low-income regions remain at low levels. Furthermore, protected areas see huge losses in recorded richness. Whilst observer count increased overall, the number of bird species recorded dramatically decreased, especially in 2020. These trends are most marked in developing countries and regions, especially where tourism is important. Due to increased bushmeat consumption during the pandemic, some species may become more threatened, but with no data we cannot yet discern such trends.


PLoS ONE ◽  
2021 ◽  
Vol 16 (8) ◽  
pp. e0255416
Author(s):  
Thomas Edwards ◽  
Christopher B. Jones ◽  
Sarah E. Perkins ◽  
Padraig Corcoran

Citizen science plays an important role in observing the natural environment. While conventional citizen science consists of organized campaigns to observe a particular phenomenon or species there are also many ad hoc observations of the environment in social media. These data constitute a valuable resource for ‘passive citizen science’—the use of social media that are unconnected to any particular citizen science program, but represent an untapped dataset of ecological value. We explore the value of passive citizen science, by evaluating species distributions using the photo sharing site Flickr. The data are evaluated relative to those submitted to the National Biodiversity Network (NBN) Atlas, the largest collection of species distribution data in the UK. Our study focuses on the 1500 best represented species on NBN, and common invasive species within UK, and compares the spatial and temporal distribution with NBN data. We also introduce an innovative image verification technique that uses the Google Cloud Vision API in combination with species taxonomic data to determine the likelihood that a mention of a species on Flickr represents a given species. The spatial and temporal analyses for our case studies suggest that the Flickr dataset best reflects the NBN dataset when considering a purely spatial distribution with no time constraints. The best represented species on Flickr in comparison to NBN are diurnal garden birds as around 70% of the Flickr posts for them are valid observations relative to the NBN. Passive citizen science could offer a rich source of observation data for certain taxonomic groups, and/or as a repository for dedicated projects. Our novel method of validating Flickr records is suited to verifying more extensive collections, including less well-known species, and when used in combination with citizen science projects could offer a platform for accurate identification of species and their location.


2020 ◽  
Vol 24 ◽  
pp. e01215 ◽  
Author(s):  
Wieland Heim ◽  
Ramona J. Heim ◽  
Ilka Beermann ◽  
Oleg A. Burkovskiy ◽  
Yury Gerasimov ◽  
...  

Author(s):  
P. Singh ◽  
S. Saran

Abstract. Due to a growing revolution of the citizen science era with the involvement of non-professionals in scientific tasks such as species observation, yields an opportunistic data for modeling and planning purposes. Such citizen science based scientific observations can be a sustainable option to answer many research questions. Here, citizen science data of the Clamator jacobinus bird is taken from Global Biodiversity Information facility to predict its habitat suitability through maximum entropy approach. The distribution data is divided into two monthly sets – June to October and November to May for critically analysing the probable climatic reasons for its migration and understanding the influence of climatic variables in its suitability during the Indian monsoon season and Southern Africa rainy season. Also, the influential role of different bioclimatic variables in determining the bird’s suitability is described in this paper and to predict how this bird will react to different climate change scenarios in 2050 year. The maximum entropy modeling is performed on both sets of data and results are surprisingly interesting, which verifies an Indian myth that this bird is harbinger of the monsoon in India. This study concluded that the precipitation during warmest and wettest quarter, and isothermality are the major factors in determining the migration of Clamator jacobinus, but, hot, dry and cold climate is not suitable for this bird suitability. Such study using the citizen science data can be used in biodiversity planning as well as in improving the agricultural economy because monsoon is considered as an auspicious season for functioning of biodiversity and agricultural tasks.


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