Biodiversity Citizen Science Research Articles

“An Emotional Cycle”: Excitement, Worry, and Joy in a Citizen Science Biodiversity Project Using Bee Hotels

ABSTRACT This paper considers the affective and emotional aspects of citizen scientist engagement in a research project aiming to map solitary bee diversity across Johannesburg, South Africa. In social media engagement by people participating as citizen scientists, expressions of emotions were a key feature. To further understand the implications of emotions for the science and for the citizens, we undertook interviews with a sub-set of recruited participants. These are contextualized by a discussion of key literature on citizen science and human-insect relations. The findings presented show how excitement, worry and joy were expressed by participants at different stages of the citizen science project. We then theorize on the role of emotion in this specific citizen science project and argue that emotion should be considered at the design stage of other citizen science projects as it can play a key role in creating experiences that are rewarding for citizens, as well as producing useful data for scientists.

Enhancing the health and wellbeing benefits of biodiversity citizen science

Enhancing the health and wellbeing benefits of biodiversity citizen science

Imaginaries of democratization and the value of open environmental data: Analysis of Microsoft's planetary computer

The proliferation of environmentally oriented programs within the tech industry, and the industry's coinciding efforts toward data and technology democratization, generate concerns about the status of environmental data within digital economy. While the accumulation of digital personal data has been a cornerstone of domination of the data analytics industry, many believe environmental data to be a source of “untapped potential.” The potential of environmental data, the argument goes, would benefit equally the digital economy, environmental sciences, and academic data and artificial intelligence experts. This article analyzes the proliferation of the rhetoric about open environmental data by focusing on Microsoft's Planetary Computer cloud computing program and computer vision experts who curate and use biodiversity data stored on Microsoft's servers. Through an analytical framework of sociotechnical imaginaries, the article draws connections between visions of future for environmental knowledge production and governance promoted by Microsoft and the work of computer vision experts intending to benefit from the potential of environmental data as machine learning training sets while at the same time helping environmental sciences. Although environmental data on the Planetary Computer is democratized, it nonetheless becomes a valued asset to data economy, but often with unintended consequences, such as enabling citizen science biodiversity data to be used by state surveillance apparatus. The article challenges the view that data's democratization is unproblematically serving environmental sciences by examining the consequences of imaginaries of democratization emerging from the data industry leaders and processes of nonmonetary valuation of environmental data by experts who curate these datasets.

No rose on this one?

This study explores how material qualities of tools contribute to shape information practices of observing, documenting, identifying and reporting species in biodiversity citizen science. Through participant observation and trace ethnography, information practices enacted during a field excursion at a World Heritage Site in south-eastern Sweden are investigated in relation to reported data submitted to the species observation system Artportalen. The study, which adopts a theoretical lens comprising the analytical concepts of epistemic objects and inscriptions, finds that the participants’ situated questioning, discussion, documenting and comparison of species through tool use establishes the observations as projections of knowledge claims. These projections are subsequently constrained but also appended as they are reported as data via Artportalen. As material qualities are generally made invisible, the reported data are augmented by the observation system when merged with other reports to aggregated data. The study extends knowledge concerning how biodiversity citizen science field excursions are conducted by understanding information practices and their outcomes as entangled activities characterised by negotiations in relation to material tools rather than as streamlined processes. Consequently, the results expand knowledge of the messy practices carried out to produce biodiversity citizen science data.Keywords: Botany, biodiversity, citizen science, information practices, materiality

A web-based geovisualization framework for exploratory analysis of individual VGI contributor’s participation characteristics

ABSTRACT Understanding the participation characteristics of VGI (volunteered geographic information) contributors is important as their active participation and consistent data contribution are key to success of any VGI project. Existing studies on this matter focused primarily on deriving and interpreting participation patterns of contributor groups. There is a lack of investigation into the participation pattern of individual contributors, which can be complementary to a comprehensive understanding of VGI contributors’ participation characteristics. Building and using a custom web-based geovisualization framework, this study explores the individual-level participation characteristics of VGI contributors from the perspectives of spatial, temporal, thematic, and social interaction patterns. I conducted geovisual exploratory data analysis on VGI datasets from the iNaturalist biodiversity citizen science project to gain intuitions on the clustering and variabilities of participation patterns in iNaturalist, detect participation pattern shifts over time and form explanation hypotheses, and assess and develop metrics to measure participation. The geovisualization framework is expected to be generally applicable to other VGI datasets for exploring individual-level contributor participation patterns. This work is among the first efforts to explore individual-level VGI participation characteristics through geovisualization and geovisual analytics.

The co-benefits of biodiversity citizen science for well-being and nature relatedness.

Human well-being is dependent on the health of our planet. Biodiversity-related citizen science supports conservation research, and there is increasing interest in its potential as a health co-benefits intervention. This randomized controlled study investigates the health co-benefits of biodiversity citizen science participation. Seventy participants were randomly assigned to a citizen science project or control group for an 8-month period. Both groups completed pre- and post-intervention surveys, evaluating nature relatedness, self-efficacy related to biodiversity loss, subjective well-being, and climate change anxiety. A subset (N = 13) of participants engaged in the citizen science project also took part in focus group discussions. The intervention group reported a significant increase in nature relatedness and self-efficacy to help address issues of biodiversity loss. Although no significant changes were observed for other well-being or anxiety scales, most participants reported positive outcomes related to mental or physical well-being in focus groups. There were stronger positive effects for participants without previous environmental volunteering experience. These results suggest that citizen science participation has the potential to contribute to Planetary Health goals, with sustained co-benefits for well-being and nature relatedness. Future interventions evaluating co-benefits should consider previous environmental volunteering experience and focus on participants with little experience to maximize health outcomes.

The effect of soundscape composition on bird vocalization classification in a citizen science biodiversity monitoring project

There is a need for monitoring biodiversity at multiple spatial and temporal scales to aid conservation efforts. Autonomous recording units (ARUs) can provide cost-effective, long-term and systematic species monitoring data for sound-producing wildlife, including birds, amphibians, insects and mammals over large areas. Modern deep learning can efficiently automate the detection of species occurrences in these sound data with high accuracy. Further, citizen science can be leveraged to scale up the deployment of ARUs and collect reference vocalizations needed for training and validating deep learning models. In this study we develop a convolutional neural network (CNN) acoustic classification pipeline for detecting 54 bird species in Sonoma County, California USA, with sound and reference vocalization data collected by citizen scientists within the Soundscapes to Landscapes project (www.soundscapes2landscapes.org). We trained three ImageNet-based CNN architectures (MobileNetv2, ResNet50v2, ResNet100v2), which function as a Mixture of Experts (MoE), to evaluate the usefulness of several methods to enhance model accuracy. Specifically, we: 1) quantify accuracy with fully-labeled 1-min soundscapes for an assessment of real-world conditions; 2) assess the effect on precision and recall of additional pre-training with an external sound archive (xeno-canto) prior to fine-tuning with vocalization data from our study domain; and, 3) assess how detections and errors are influenced by the presence of coincident biotic and non-biotic sounds (i.e., soundscape components). In evaluating accuracy with soundscape data (n = 37 species) across CNN probability thresholds and models, we found acoustic pre-training followed by fine-tuning improved average precision by 10.3% relative to no pre-training, although there was a small average 0.8% reduction in recall. In selecting an optimal CNN architecture for each species based on maximum F(β = 0.5), we found our MoE approach had total precision of 84.5% and average species precision of 85.1%. Our data exhibit multiple issues arising from applying citizen science and acoustic monitoring at the county scale, including deployment of ARUs with relatively low fidelity and recordings with background noise and overlapping vocalizations. In particular, human noise was significantly associated with more incorrect species detections (false positives, decreased precision), while physical interference (e.g., recorder hit by a branch) and geophony (e.g., wind) was associated with the classifier missing detections (false negatives, decreased recall). Our process surmounted these obstacles, and our final predictions allowed us to demonstrate how deep learning applied to acoustic data from low-cost ARUs paired with citizen science can provide valuable bird diversity data for monitoring and conservation efforts.

Unlocking Hong Kong’s hidden jellyfish diversity with citizen science

Jellyfish are important organisms within marine ecosystems, although the extent of their occurrence and diversity is likely underestimated, particularly for biodiversity-rich locations such as the Indo-Pacific. The potential for citizen science to monitor phenomena associated with these Cnidarians over large spatial scales has been recognized in an increasingly broad array of locations, including the Mediterranean, South Africa, and the UK. Here, we were interested if such an approach could be used to understand more about their presence, seasonal occurrence, and distribution in Hong Kong. To address these areas, the Hong Kong Jellyfish Project was launched in early 2021 with citizen scientists invited to submit photographs and simple information (date, time, location, number of jellyfish) to a project website or a collection project on the online citizen science biodiversity platform iNaturalist. For some of these observations, jellyfish were sampled and DNA analysis conducted to confirm morphologically-based identification. During 2021, over 380 observations of jellyfish were submitted through the website and iNaturalist project, with 19 species recorded as present. The species most frequently recorded were Cyanea nozakii and Rhopilema hispidum, and two new species records of Thysanostoma loriferum and Netrostoma setouchianum were documented for Hong Kong. There was a seasonal trend in observations, with most jellyfish seen in March–May. Finally, there was a broad geographical distribution of observations throughout Hong Kong’s coastal waters, with more observations made in the south/east. Together, these observations gathered by citizen scientists indicate a broad distribution of jellyfish – and the occurrence of previously undocumented species – in Hong Kong’s waters.

Recognition and completeness: two key metrics for judging the utility of citizen science data

Biodiversity citizen science data are being collected at unprecedented scales, and are key for informing conservation and research. Species‐level data typically provide the most valuable information, but recognition of specimens to species level from photographs varies among taxa. We examined a large dataset of Australian photographic observations of terrestrial invertebrates uploaded to iNaturalist to quantify recognition to species across different taxa. We also quantified the proportion of Australian species that have been uploaded to iNaturalist. Across 1,013,171 observations covering 14,663 species (17.8% completeness), 617,045 (60.9%) were recognized to species. Dragonflies/damselflies and butterflies were the best‐recognized and most complete taxa, and therefore represent the best groups for researchers and managers intending to use existing iNaturalist data at large spatial and temporal scales. The recruitment of additional experts to identify records, and enhanced support for accessible resources for hard‐to‐identify taxa, will likely increase recognition for other taxa.

Science knowledge and trust in science in biodiversity citizen science projects

Citizen science projects are valued for their impact on participants' knowledge, attitude and behavior towards science. In this paper, we explore how participation in biodiversity citizen science projects is correlated to different dimensions of trust in science. We conduct a quantitative study through an online survey of 1,199 individuals, 586 of them being part of a biodiversity citizen science program in France. Our results suggest that participation-related trust is more exhaustive — it covers more dimensions of the scientific endeavor — than education-related trust. This exploratory study calls for more empirical research on the links between citizen science and the different dimensions of public trust in science.

Who and Where Are the Observers behind Biodiversity Citizen Science Data? Effect of Landscape Naturalness on the Spatial Distribution of French Birdwatching Records

The study of spatial bias in opportunistic data produced by citizen science programs is mainly approached either from a geographical angle (site proximity, accessibility, habitat quality) or from the angle of human behavior and volunteer engagement. In this study we linked both by analyzing the effect of observer profile on spatial distribution of recordings. We hypothesized that observer profile biases spatial distribution of records and that this bias can be explained by landscape naturalness. First, we established observer profiles from analysis of the temporal and spatial distributions of their records as well as record contents. Second, we mapped a naturalness gradient at regional and local scales. Using a dataset of more than 7 million bird records covering a time span of 15 years from the west of France, we defined four types of observer: garden-watchers, beginners, naturalists, and experts. We found that recording intensity could be related to naturalness at regional level; most visited areas were those where naturalness was on average lower i.e., close to population basins and highly accessible due to well-developed road infrastructure. At local level (neighborhood of recording sites), we found that experts and naturalists recorded in areas of higher naturalness index than those of garden-watchers and beginners. These results highlight how records contributed by different types of observer may lead to complementary coverage of different areas of the landscape. Future studies should therefore fully consider observer heterogeneity and how different observer profiles are influenced by local landscape naturalness.

Science learning in biodiversity citizen science: Inputs from the analysis of online social interactions within a contributory project for pollinators' monitoring

Biodiversity citizen science projects are both valued for their contribution to scientific research and for their impact on participants' science learning and engagement towards the environment. In this paper, we assess the impact of participation in a biodiversity citizen science project (the Spipoll, dedicated to pollinators' monitoring) through the analysis of online interactions within the program's data sharing platform. By drawing on a previous qualitative analysis of the comments exchanged by the participants within this platform, we focus on those comments which share items on aspects of biology and ecology related to the Spipoll program. This sample gathers 2009 comments from 2010 to 2018. We first classified the different constitutive elements from these comments into seven categories following the topics they deal with. We then studied the temporal change in occurrence of each of these topics from 2010 to 2018. We show that long-term participation is associated with the growing expression of scientific procedural skills: formulation of hypothesis and explanation, proposition of new research questions. To our knowledge, our study is the first one that detects the acquisition of such procedural skills in biodiversity citizen science. We also show that long-term participation is associated with the growing attention to natural seasonal cycles. This study finally illustrates the value of the online traces of citizen scientists' activities to analyze participants' outcomes of citizen science. Consequently, it should encourage the development of such online communication spaces within contributory projects, without restricting them to online citizen science.

Unfolding material constraints and opportunities in biodiversity citizen science information practices

The purpose of this paper is to outline an approach for understanding how information practices in biodiversity citizen science are enabled and constrained through participants’ interactions with material objects such as cameras, artificial intelligence-supported smartphone applications and information systems. The approach draws on the theory of objectual practice; how knowledge is constructed iteratively through interaction with epistemic objects. Epistemic objects are understood as objects sustained by projections of knowledge, open for interpretation and question-generation, rather than clearly defined things. The approach is empirically contextualised through a study of biodiversity citizen science activities in relation to a bioblitz, a short-term, intensive period of species observations in a given geographical setting. Three empirical units of analysis are to be studied: binoculars, cameras, and loupes for observing species; field guides, identification keys and smartphone applications for identifying species; and standardising, large-scale information systems for reporting identified observations. The approach opens up for studying how material objects enable and constrain biodiversity citizen science information practices. The objectual practice approach in relation to a multifaceted empirical setting such as biodiversity citizen science extends sociomaterial aspects to citizen science studies by enabling practice-oriented observation and trace investigations of large-scale phenomena.

Spatial distribution of biodiversity citizen science in a natural area depends on area accessibility and differs from other recreational area use

Abstract Opportunistic citizen science produces large amounts of primary biodiversity data but is underutilized in the conservation and management of protected areas despite these areas’ status as citizen science hotspots. Application of these data may be limited by the challenge of understanding sampling patterns associated with opportunistic data at a scale relevant to local area management. An improved understanding of citizen science activity patterns within protected areas could strengthen both data analysis and the local promotion and guidance of citizen science activity. We investigated local‐scale patterns of citizen science activity, using a case study approach to examine citizen science activity in a recreationally popular natural area that serves as a regional citizen science hotspot. We modelled the relationship between local citizen science activity and 10 spatial covariates broadly related to ease of access and natural interest, factors which have been shown to drive citizen science activity at regional scales. We further compared the distribution of citizen science activity with that of professional data collection and recreational visitor activity in the study area. We found that citizen science data largely complement rather than replicate openly available professional data. Citizen science participation was primarily driven by ease of access, especially the presence of trails. However, citizen science use of the trail network differed from other types of recreational trail use, including a weaker preference for well‐established trails and a stronger association with developed areas. This improved understanding of patterns in citizen science participation may be used to better account for spatial biases in citizen science data and to manage natural areas in a way that supports and guides future citizen science activity.

Showcasing synergies between agriculture, biodiversity and ecosystem services to help farmers capitalising on native biodiversity (SHOWCASE)

The slow adoption by the agricultural sector of practices to promote biodiversity are thought to originate from three interrelated issues. First, we know little about which incentives effectively motivate farmers to integrate biodiversity into daily farm management. Second, few studies so far have produced evidence that biodiversity-based approaches produce benefits in terms of key variables for farmers (yield, profit). Third, there is a large communication gap between the scientists investigating biodiversity-based farming practices and the farmers who have to implement them. To overcome these barriers, SHOWCASE will review and test the effectiveness of a range of economic and societal incentives to implement biodiversity management in farming operations and examine farmer and public acceptance. Focus will be on three promising approaches: (i) result-based incentives, (ii) involvement in citizen science biodiversity monitoring and (iii) biodiversity-based business models. SHOWCASE will co-produce together with stakeholders solid interdisciplinary evidence for the agro-ecological and socio-economic benefits of biodiversity management in 10 contrasting farming systems across Europe. SHOWCASE will also design communication strategies that are tailor-made to farmers and other key stakeholders operating in different socio-economic and environmental conditions. SHOWCASE will develop a multi-actor network of 10 Experimental Biodiversity Areas in contrasting European farming systems that will be used for in-situ research on biodiversity incentives and evidence for benefits as well as knowledge exchange. This network will be used to identify and test biodiversity indicators and targets relevant to all stakeholders and use them in a learning-by-doing approach to improve benefits of biodiversity management on farms, both within the network and beyond.

Establishing a Long Term Citizen Science Biodiversity Monitoring Program to Inform Adaptive Management – Greg Kerr

Establishing a Long Term Citizen Science Biodiversity Monitoring Program to Inform Adaptive Management – Greg Kerr

Thousands of examining eyes: credibility, authority and validity in biodiversity citizen science data production

PurposeThe purpose of this study is to contribute with knowledge about how valid research data in biodiversity citizen science are produced through information practices and how notions of credibility and authority emerge from these practices.Design/methodology/approachData were collected through an empirical, interview-based study of the information practices of 15 participants active in the vicinity of the Swedish biodiversity citizen science information system Artportalen. Interview transcripts were analysed abductively and qualitatively through a coding scheme by working back and forth between theory and data. Values of credibility, authority and validity of research data were unfolded through a practice-oriented perspective to library and information studies by utilising the theoretical lens of boundary objects.FindingsNotions of credibility, authority and validity emerge through participant activities of transforming species observations to data, supplementing reports with objects of trust, augmenting identification through authority outreach and assessing credibility via peer monitoring. Credibility, authority and validity of research data are shown to be co-constructed in a distributed fashion by the participants and the information system.Originality/valueThe article extends knowledge about information practices in emerging, heterogeneous scholarly settings by focussing on the complex co-construction of credibility, authority and validity in relation to data production.

Online data sharing with virtual social interactions favor scientific and educational successes in a biodiversity citizen science project

ABSTRACT Given the diversity of biodiversity citizen science projects' design and objectives, a major challenge is to better understand the factors influencing their successes. We study an online communication space where participants to a participative biodiversity monitoring program share their data and freely interact. A quantitative analysis of the comments' distribution among participants reveals the multiplicity of epistemic and social roles they endorse: helping collective identification of plants and insects, moderating the respect of the scientific protocol, or maintaining community's life. By building a typology of these comments, we show how this space of discussion favors exchanges and reflections about esthetical, interpersonal, biological and methodological aspects. We argue that the existence of such spaces favors all together the production of high-quality data, science learning, and individual commitment towards environmental issues. Maybe more importantly, they allow citizens to build and strengthen collective epistemic and affective relationships with science.

A niche of their own: variations of information practices in biodiversity citizen science

PurposeInformation practices become highly complex in biodiversity citizen science projects due to the projects’ large scale, distributed setting and vast inclusion of participants. This study aims to contribute to knowledge concerning what variations of information practices can be found in biodiversity citizen science and what these practices may mean for the overall collaborative biodiversity data production in such projects.Design/methodology/approachFifteen semi-structured interviews were carried out with participants engaged with the Swedish biodiversity citizen science information system Artportalen. The empirical data were analysed through a practice-theoretical lens investigating information practices in general and variations of practices in particular.FindingsThe analysis shows that the nexus of biodiversity citizen science information practices consists of observing, identifying, reporting, collecting, curating and validating species as well as decision-making. Information practices vary depending on participants’ technical know-how; knowledge production and learning; and preservation motivations. The study also found that reporting tools and field guides are significant for the formation of information practices. Competition was found to provide data quantity and knowledge growth but may inflict data bias. Finally, a discrepancy between practices of validating and decision-making have been noted, which could be mitigated by involving intermediary participants for mutual understandings of data.Originality/valueThe study places an empirically grounded information practice-theoretical perspective on citizen science participation, extending previous research seeking to model participant activities. Furthermore, the study nuances previous practice-oriented perspectives on citizen science by emphasising variations of practices.

Harnessing the Power of Social Media to Obtain Biodiversity Data About Cetaceans in a Poorly Monitored Area

The study and conservation of cetaceans benefit from systematic studies and non-systematic records about sightings and strandings. However, iEcology (internet ecology) was critical for numerous ecological studies and should be in the toolkit of cetacean ecologists. We hypothesize that iEcology is irreplaceable to obtain diversity data about cetaceans in poorly monitored regions that coincide with touristic destinations, where whale-watching companies go out to sea regularly and post their sightings on social media. Our study assessed the advantages and disadvantages of iEcology while obtaining the first broadscale and long-term assessment about cetaceans’ diversity off the Algarve, a European tourist destination with numerous whale-watching companies. We retrieved 1,299 time-referenced records about 15 species posted on Facebook and Instagram between 2011 and 2020. Data collected from Biodiversity4All, an online citizen science biodiversity database, disclosed georeferenced records about nine species made between 2008 and 2020, however, the number of records was 15.8 times lower than social media posts. We obtained information about 16 species, two of which were never mentioned in the scientific literature [Balaenoptera musculus, Balaenoptera edeni (record made in 2021)] and five species were only mentioned in the gray literature. Previous assessments were restricted in time, published in the gray literature, and only reported six and 11 species. So, social media was essential to obtain the first broadscale and long-term assessment of cetaceans’ diversity off the Algarve. The main advantages of iEcology were the possibility to obtain data collected over one decade and its low cost. The main disadvantages are the impossibility to obtain georeferenced records from social media, the difficulty to estimate the number of individuals in large groups, and the presence of rare species can be inflated if multiple whale-watching companies report the same individual(s) while they migrate along the coast. Nonetheless, these disadvantages can be mitigated. Overall, we endorse the use of iEcology to increase the ecological knowledge about cetaceans which might be the only tool to study them in numerous regions across the world. The contributions of whale-watching companies are invaluable, so we recommend the implementation of a standardized cetacean observation log as a relevant source of data for conservation.