A pathway for citizen science data to inform policy: A case study using <scp>eBird</scp> data for defining low‐risk collision areas for wind energy development

Ruiz‐Gutiérrez, Viviana; Bjerre, Emily R.; Otto, Mark C.; Zimmerman, Guthrie S.; Millsap, Brian A.; Fink, Daniel; Stuber, Erica F.; Strimas‐Mackey, Matthew; Robinson, Orin J.

doi:10.1111/1365-2664.13870

Cited by 25 publications

(22 citation statements)

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“…This aligns with what ornithologists have found when hobbyist bird watchers register their sightings on applications: bird abundance data from the citizen science application eBird have undergone scrutiny to understand if, how, and when user checklists could be applied to management of bird populations (e.g. Ruiz‐Gutierrez et al, 2021). For fisheries applications, some anglers are very active in recording catches on specific websites either with the intention for the data to be available for research or alternatively for the information to be available to their social network (e.g.…”

Section: Recreational Fisheries Management Questions and Their Potent...supporting

confidence: 64%

Digital fisheries data in the Internet age: Emerging tools for research and monitoring using online data in recreational fisheries

et al. 2022

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Recreational fisheries are diverse in scale, scope, and participation worldwide, constituting an important ecosystem service of marine and freshwater ecosystems.Management of these socio-ecological systems is challenged by monitoring gaps, stemming from difficulties engaging with participants, biased sampling, and insufficient resources to conduct biological or social surveys of fish and human populations.In the Internet age, online data have great potential to make a meaningful contribution to recreational fisheries research, monitoring, and management. Recreational fishers in some countries increasingly use social and other digital media to share their experiences with followers, with most data freely available to web scrapers that compile databases of text (e.g. tweets, status updates, comments), photos, videos and other media that contain information about spatiotemporal activity, sentiments towards catches/experiences, targeted and bycatch species, effort levels, and more.Although the future of recreational fisheries research, monitoring and management will likely involve more digital scraping, uptake is only just beginning and there are

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Section: Recreational Fisheries Management Questions and Their Potent...supporting

confidence: 64%

Digital fisheries data in the Internet age: Emerging tools for research and monitoring using online data in recreational fisheries

et al. 2022

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“…Crowd-sourced science has informed ecology and conservation (e.g., Ruiz-Gutierrez et al, 2021), primarily because of increasing participation and data collection at broad spatiotemporal scales (Chandler et al, 2017;Pocock et al, 2017). Despite increasing participation, few studies have evaluated the utility of eBird data to monitor bird populations at daily-weekly time intervals (Cohen et al, 2020(Cohen et al, , 2021Neate-Clegg et al, 2020), which are time intervals when species cope with ECEs.…”

Section: Discussionmentioning

confidence: 99%

Citizen science reveals waterfowl responses to extreme winter weather

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et al. 2022

Global Change Biology

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Global climate change is increasing the frequency and severity of extreme climatic events (ECEs) which may be especially detrimental during late‐winter when many species are surviving on scarce resources. However, monitoring animal populations relative to ECEs is logistically challenging. Crowd‐sourced datasets may provide opportunity to monitor species' responses to short‐term chance phenomena such as ECEs. We used 14 years of eBird—a global citizen science initiative—to examine distribution changes for seven wintering waterfowl species across North America in response to recent extreme winter polar vortex disruptions. To validate inferences from eBird, we compared eBird distribution changes against locational data from 362 GPS‐tagged Mallards (Anas platyrhynchos) in the Mississippi Flyway. Distributional shifts between eBird and GPS‐tagged Mallards were similar following an ECE in February 2021. In general, the ECE affected continental waterfowl population distributions; however, responses were variable across species and flyways. Waterfowl distributions tended to stay near wintering latitudes or moved north at lesser distances compared with non‐ECE years, suggesting preparedness for spring migration was a stronger “pull” than extreme weather was a “push” pressure. Surprisingly, larger‐bodied waterfowl with grubbing foraging strategies (i.e., geese) delayed their northward range shift during ECE years, whereas smaller‐bodied ducks were less affected. Lastly, wetland obligate species shifted southward during ECE years. Collectively, these results suggest specialized foraging strategies likely related to resource limitations, but not body size, necessitate movement from extreme late‐winter weather in waterfowl. Our results demonstrate eBird's potential to monitor population‐level effects of weather events, especially severe ECEs. eBird and other crowd‐sourced datasets can be valuable to identify species which are adaptable or vulnerable to ECEs and thus, begin to inform conservation policy and management to combat negative effects of global climate change.

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“…A crescente participação das pessoas e os dados por elas coletados permitem estudos envolvendo migração, tamanhos populacionais, uso de habitat, biogeografia e outras questões. O uso desses dados é crescente também em estudos com MDE (HADLEY et al, 2018;RUIZ-GUTIERREZ;, porém há uma lacuna sobre o grau de incerteza que os dados coletados por cidadãos cientistas trazem para os modelos destinados à conservação aplicada de espécies ameaçadas.…”

Section: Introductionunclassified

“…Nesse sentido, dados coletados por amadores têm expandido o conhecimento sobre a distribuição de diversas espécies (DOMÍNGUEZ et al, 2021). Como consequência dessa disponibilidade de dados, e para aumentar o entendimento sobre a biogeografia, dados de ciência cidadã têm sido empregados na Modelagem de Distribuição de Espécies (MDE -HADLEY et al, 2018;RUIZ-GUTIERREZ;.…”

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Ciência cidadã e modelos de distribuição de espécies para a conservação de aves ameaçadas

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A pathway for citizen science data to inform policy: A case study using eBird data for defining low‐risk collision areas for wind energy development

Abstract: This article has been accepted for publication and undergone full peer review but has not been through the copyediting, typesetting, pagination and proofreading process, which may lead to differences between this version and the Version of Record. Please cite this article as

Cited by 25 publications

References 29 publications

Digital fisheries data in the Internet age: Emerging tools for research and monitoring using online data in recreational fisheries

Digital fisheries data in the Internet age: Emerging tools for research and monitoring using online data in recreational fisheries

Citizen science reveals waterfowl responses to extreme winter weather

Ciência cidadã e modelos de distribuição de espécies para a conservação de aves ameaçadas

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