scholarly journals Contribution of Citizen Science to Biodiversity Data Mobilization in Russia

2020 ◽  
Vol 4 ◽  
Author(s):  
Natalya Ivanova ◽  
Maxim Shashkov
Keyword(s):  
New Species ◽  
Protected Areas ◽  
Citizen Science ◽  
Biodiversity Data ◽  
Breeding Bird ◽  
Breeding Bird Atlas ◽  
Research Grade ◽  
Taxonomic Groups ◽  
Species Occurrences ◽  
Biodiversity Information

Currently Russia doesn't have a national biodiversity information system, and is still not a GBIF (Global Biodiversity Information Facility) member. Nevertheless, GBIF is the largest source of biodiversity data for Russia. As of August 2020, >5M species occurrences were available through the GBIF portal, of which 54% were published by Russian organisations. There are 107 institutions from Russia that have become GBIF publishers and 357 datasets have been published. The important trend of data mobilization in Russia is driven by the considerable contribution of citizen science. The most popular platform is iNaturalist. This year, the related GBIF dataset (Ueda 2020) became the largest one for Russia (793,049 species occurrences as of 2020-08-11). The first observation for Russia was posted in 2011, but iNaturalist started becoming popular in 2017. That year, 88 observers added >4500 observations that represented 1390 new species for Russia, 7- and 2-fold more respectively, than for the previous 6 years. Now we have nearly 12,000 observers, about 15,000 observed species and >1M research-grade observations. The ratio of observations for Tracheophyta, Chordata, and Arthropoda in Russia is different compared to the global scale. There are almost an equal amount of observations in the global iNaturalist GBIF dataset for these groups. At the same time in Russia, vascular plants make up 2/3rds of the observations. That is due to the "Flora of Russia" project, which attracted many professional botanists both as observers and experts. Thanks to their activity, Russia has a high proportion of research-grade observations in iNaturalist, 78% versus 60% globally. Another consequence of wide participation by professional researchers is the high rate of species accumulation. For some taxonomic groups conspicuous species were already revealed. There are about 850 bird species in Russia of which 398 species were observed in 2018, and only 83 new species in 2019. Currently, the number of new species recorded over time is decreasing despite the increase in observers and overall user activity. Russian iNaturalist observers have shared a lot of archive photos (taken during past years). In 2018, it was nearly 1/4 of the total number of observations and about 3/4 of new species for the year, with similar trends observed during 2019. Usually archive photos are posted from December until April, but the 2020 pandemic lockdown spurred a new wave of archive photo mobilisation in April and May. There are many iNaturalist projects for protected areas in Russia: 27 for strict nature reserves and national parks, and about 300 for others. About 100,000 observations (7.5% of all Russian observations) from the umbrella project "Protected areas of Russia" represent >34% of the species diversity observed in Russia. For some regions, e.g., Novosibirsk, Nizhniy Novgorod and Vladimir Oblasts, almost all protected areas are covered by iNaturalist projects, and are often their only source of available biodiversity data. There are also other popular citizen science platforms developed by Russian researchers. The first one is the Russian birdwatching network RU-BIRDS.RU. The related GBIF dataset (Ukolov et al. 2019) is the third largest dataset for Russia (>370,000 species occurrences). Another Russian citizen science system is wildlifemonitoring.ru, which includes thematic resources for different taxonomic groups of vertebrates. This is the crowd-sourced web-GIS maintained by the Siberian Environmental Center NGO in Novosibirsk. It is noteworthy that iNaturalist activities in Russia are developed more as a social network than as a way to attract volunteers to participate in scientific research. Of 746 citations in the iNaturalist dataset, only 18 articles include co-authors from Russia. iNaturalist data are used for the management of regional red lists (in the Republic of Bashkortostan, Novosibirsk Oblast and others), and as an additional information source for regional inventories. RU-BIRDS data were used in the European Russia Breeding Bird Atlas and the new edition of the European Breeding Bird Atlas. In Russia, citizen science activities significantly contribute to filling gaps in the global biodiversity map. However, Russian iNaturalist observations available through GBIF originate from the USA. It is not ideal, because the iNaturalist GBIF dataset is growing rapidly, and in the future it will represent more than all other datasets for Russia combined. In our opinion, iNaturalist data should be repatriated during the process of publishing through GBIF, as it is implemented for the eBird dataset (Levatich and Ligocki 2020).

scholarly journals Making Biodiversity Data Social, Shareable, and Scalable: Reflections on iNaturalist & citizen science

2019 ◽  
Vol 3 ◽  
Author(s):  
Carrie Seltzer
Keyword(s):  
Social Interaction ◽  
Citizen Science ◽  
Biodiversity Informatics ◽  
Strategic Decisions ◽  
Biodiversity Data ◽  
Helping Others ◽  
Advance Research ◽  
Biodiversity Information

Since 2008, iNaturalist has been crowdsourcing identifications for biodiversity observations collected by citizen scientists. Today iNaturalist has over 25 million records of wild biodiversity with photo or audio evidence, from every country, representing more than 230,000 species, collected by over 700,000 people, and with 90,000 people helping others with identifications. Hundreds of publications have used iNaturalist data to advance research, conservation, and policy. There are three key themes that iNaturalist has embraced: social interaction; shareability of data, tools, and code; and scalability of the platform and community. The keynote will share reflections on what has (and has not) worked for iNaturalist while drawing on other examples from biodiversity informatics and citizen science. Insights about user motivations, synergistic collaborations, and strategic decisions about scaling offer some transferable approaches to address the broadly applicable questions: Which species is represented? How do we make the best use of the available biodiversity information? And how do we build something viable and enduring in the process?

scholarly journals Completeness of Digital Accessible Knowledge of the Plants of Ghana

2016 ◽  
Vol 11 ◽  
Author(s):  
Alex Asase ◽  
A. Townsend Peterson
Keyword(s):  
Geographic Distance ◽  
Northern Ghana ◽  
Biodiversity Informatics ◽  
Primary Research ◽  
Biodiversity Data ◽  
Global Biodiversity Information Facility ◽  
Herbarium Data ◽  
Research Grade ◽  
Biodiversity Information

Providing comprehensive, informative, primary, research-grade biodiversity information represents an important focus of biodiversity informatics initiatives. Recent efforts within Ghana have digitized >90% of primary biodiversity data records associated with specimen sheets in Ghanaian herbaria; additional herbarium data are available from other institutions via biodiversity informatics initiatives such as the Global Biodiversity Information Facility. However, data on the plants of Ghana have not as yet been integrated and assessed to establish how complete site inventories are, so that appropriate levels of confidence can be applied. In this study, we assessed inventory completeness and identified gaps in current Digital Accessible Knowledge (DAK) of the plants of Ghana, to prioritize areas for future surveys and inventories. We evaluated the completeness of inventories at ½° spatial resolution using statistics that summarize inventory completeness, and characterized gaps in coverage in terms of geographic distance and climatic difference from well-documented sites across the country. The southwestern and southeastern parts of the country held many well-known grid cells; the largest spatial gaps were found in central and northern parts of the country. Climatic difference showed contrasting patterns, with a dramatic gap in coverage in central-northern Ghana. This study provides a detailed case study of how to prioritize for new botanical surveys and inventories based on existing DAK.

Butterflies of Guinea-Bissau: VIII. New data, new reports, corrections and biodiversity (Lepidoptera: Papilionoidea)

Zootaxa ◽  
2016 ◽  
Vol 4201 (1) ◽  
pp. 1 ◽  
Author(s):  
ANTÓNIO BIVAR-DE-SOUSA ◽  
SASHA VASCONCELOS ◽  
LUÍS F. MENDES ◽  
TORBEN B. LARSEN ◽  
JON BAKER ◽  
...  
Keyword(s):  
New Species ◽  
Protected Areas ◽  
Host Plants ◽  
New Records ◽  
Conservation Status ◽  
New Genera ◽  
Guinea Bissau ◽  
As Species ◽  
Primary Habitat ◽  
Species Occurrences

New records are added to the Papilionoidea of Guinea-Bissau, many of which were obtained within the country’s Protected Areas. Examination of the collected material yielded 9 new genera and 47 new species for the country, significantly increasing the knowledge of local butterfly diversity. 99 genera and 244 species are now known to occur in Guinea-Bissau, representing an increase of almost 20 % in the number of species and 7 % in the genera in relation to previous data. For each species, the studied material, probable abundance and proposed conservation status in the country are reported; some corrections relative to a few previous misidentifications are added. A gazetteer of the prospected localities is included, as well as species’ occurrences within the Protected Areas and previous bibliographic references in Guinea-Bissau. The known geographical range, primary habitat and host-plants of each species/subspecies are also provided. 

scholarly journals How A Citizen Scientist Can Reuse & Link Biodiversity Heritage Library Data

2018 ◽  
Vol 2 ◽  
pp. e25298
Author(s):  
Siobhan Leachman
Keyword(s):  
Open Access ◽  
Citizen Science ◽  
The Internet ◽  
Biodiversity Data ◽  
The Public ◽  
Citizen Scientist ◽  
Creative Commons ◽  
Internet Search Engine ◽  
Effective Dissemination ◽  
Biodiversity Information

The Biodiversity Heritage Library (BHL) provides open access to over 54 million pages of biodiversity literature. Much of this literature is either in the public domain or is licensed for reuse under the Creative Commons framework. Anyone can therefore freely reuse much of the information and data provided by BHL. This presentation will outline how the work of a citizen scientist using BHL content might benefit research scientists. It will discuss how a citizen scientist can reuse and link BHL literature and data in Wikipedia and Wikidata. It will explain the research efficiencies that can be obtained through this reuse and linking, for example through the consolidation of database identifiers. The presentation will outline the subsequent reuse of the BHL data added to Wikipedia and Wikidata by the internet search engine Google. It will discuss an example of the linking of this information in the citizen science observation platform iNaturalist. The presentation will explain how BHL, as a result of its open reuse licensing of information and data, helps in the creation of more accurate citizen science generated biodiversity data and assists with the wider and more effective dissemination of biodiversity information.

scholarly journals Bhutan’s Challenges in Biodiversity Informatics

2019 ◽  
Vol 3 ◽  
Author(s):  
Choki Gyeltshen ◽  
Sangay Dema
Keyword(s):  
Protected Areas ◽  
Coordination Mechanism ◽  
Easy Access ◽  
Observation Data ◽  
Biodiversity Data ◽  
User Friendliness ◽  
Or Education ◽  
Web Based ◽  
The Status ◽  
Biodiversity Information

Access to reliable and updated data and information on the status of biodiversity for effective conservation and sustainable use has been one of the major challenges in Bhutan. The current scenario of inaccessibility is due to the fact that biodiversity inventories and documentation are carried out within the context of individual projects and institutions, guided by their specific objectives and collection standards, often in isolation. More critical is the fact that these data hardly get shared nor are they easily accessible, resulting in either duplication of efforts or underutilization of the existing data. It has been duly noted that despite the global recognition of Bhutan’s protected areas system and its conservation achievements, information on the existing biodiversity of these protected areas is not easily accessible. There is also inadequate information on the critical biodiverse areas of the country, making it difficult to make informed decisions for either initiating developmental activities or prioritizing the area for conservation. These gaps are acknowledged and discussed in national documents (NBSAP 2014). In order to provide easy access to comprehensive biodiversity data and information of the country and to ensure the judicious use of our scarce resources, there is a compelling need to establish a coordination mechanism for sharing data on a common platform, not only to overcome the existing gaps but also to enable consolidation and analysis of the data in order to generate information for broader use such as conservation planning or education. Thus in 1994, Bhutan, along with the South-South Cooperation (PSC 2009), which included Benin and Costa Rica, initiated a basic biodiversity information system in each country, funded by the Kingdom of Netherlands. In 2008, the National Biodiversity Centre (NBC) developed a web-based biodiversity portal, which was subsequently upgraded to the status of a national biodiversity information clearing house in 2010. However, because of the vastness and variety of biodiversity data, it was not feasible for a single agency to collect as well as curate these vast data. Thus, in early 2013, the Centre proposed the formation of a consortium to manage biodiversity data through a strengthened and an improved version of a web-based portal. In addition, this initiative to form a consortium amongst different biodiversity stakeholders, was also to address the issue of duplicative efforts in developing and managing isolated information systems and databases. The Bhutan Biodiversity Portal (www.biodiversity.bt) was launched on 17th December 2013. Currently, the observation data has crossed 63,000 of all taxa owing mostly to the efforts of a mass campaign across the country. However, one of the major challenges is the availability of active taxonmic curators especially for the understudied taxonomic groups such as invertebrates. In addition, some users prefer social media over the portal due to its user-friendliness.

scholarly journals Description of two new species of Avicularia Lamarck 1818 and redescription of Avicularia diversipes (C. L. Koch 1842) (Araneae, Theraphosidae, Aviculariinae)—three possibly threatened Brazilian species

Zootaxa ◽  
2009 ◽  
Vol 2223 (1) ◽  
pp. 25-47 ◽  
Author(s):  
ROGÉRIO BERTANI ◽  
CAROLINE SAYURI FUKUSHIMA
Keyword(s):  
New Species ◽  
Protected Areas ◽  
Conservation Status ◽  
Original Description ◽  
Color Pattern ◽  
Habitat Destruction ◽  
Southern State ◽  
Two New Species ◽  
Specimen Identification ◽  
Brazilian Atlantic Rainforest

Avicularia diversipes (C. L. Koch 1842) known previously only from its original description is redescribed along with Avicularia sooretama sp. nov. and Avicularia gamba sp. nov. The three species are endemic to Brazilian Atlantic rainforest. With other Avicularia species, they share a procurved anterior eye row, slender embolus and medially folded spermathecae, whereas they have unusual characters, such as a very long and spiraled embolus (A. diversipes) and spermathecae with multilobular apex (A. sooretama sp. nov.). Furthermore, the three species lack a tibial apophysis in males and share a distinctive color pattern ontogeny that is not known in any other Avicularia species. The conservation status of the three species is discussed, especially with respect to endemism, illegal trafficking and habitat destruction. The creation of protected areas in southern State of Bahia, Brazil, is recommended, as well as the inclusion of these species in IUCN and CITES lists. Appendices with figures and species information are presented to facilitate correct specimen identification by custom officers, in order to limit illegal traffic.

scholarly journals A Framework of Observer-Based Biases in Citizen Science Biodiversity Monitoring: Semi-Structuring Unstructured Biodiversity Monitoring Protocols

2021 ◽  
Vol 9 ◽  
Author(s):  
Ofer Arazy ◽  
Dan Malkinson
Keyword(s):  
Decision Making ◽  
Citizen Science ◽  
Temporal Distribution ◽  
Biodiversity Monitoring ◽  
Biodiversity Data ◽  
Science Data ◽  
The Public ◽  
Spatio Temporal ◽  
Monitoring Protocols ◽  
And Behavior

Citizen science, whereby ordinary citizens participate in scientific endeavors, is widely used for biodiversity monitoring, most commonly by relying on unstructured monitoring approaches. Notwithstanding the potential of unstructured citizen science to engage the public and collect large amounts of biodiversity data, observers’ considerations regarding what, where and when to monitor result in biases in the aggregate database, thus impeding the ability to draw conclusions about trends in species’ spatio-temporal distribution. Hence, the goal of this study is to enhance our understanding of observer-based biases in citizen science for biodiversity monitoring. Toward this goals we: (a) develop a conceptual framework of observers’ decision-making process along the steps of monitor – > record and share, identifying the considerations that take place at each step, specifically highlighting the factors that influence the decisions of whether to record an observation (b) propose an approach for operationalizing the framework using a targeted and focused questionnaire, which gauges observers’ preferences and behavior throughout the decision-making steps, and (c) illustrate the questionnaire’s ability to capture the factors driving observer-based biases by employing data from a local project on the iNaturalist platform. Our discussion highlights the paper’s theoretical contributions and proposes ways in which our approach for semi-structuring unstructured citizen science data could be used to mitigate observer-based biases, potentially making the collected biodiversity data usable for scientific and regulatory purposes.

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