eBird Status and Trends

Fink, Daniel; Auer, Tom; Johnston, Alison; Strimas‐Mackey, Matthew; Robinson, Orin J.; Ligocki, Shawn; Hochachka, Wesley M.; Jaromczyk, L; Rodewald, Amanda D.; Wood, C; Davies, I; Spencer, A

doi:10.2173/ebirdst.2021

Cited by 61 publications

(56 citation statements)

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“…Birdwatcher skill is based on the checklist calibration index, a standardized measure indexing differences in behavior among observers (Johnston et al, 2018; Kelling et al, 2015). The AdaSTEM weekly estimates of relative abundance were available for the year 2020 for 1051 species at a 2.96 × 2.96 km spatial resolution using an equal‐area sinusoidal projection (Fink et al, 2021). Weekly relative abundance estimates were available for all 169 NMP bird species that occur in North America (Horton et al, 2019).…”

Section: Methodsmentioning

confidence: 99%

Light pollution enhances ground‐level exposure to airborne toxic chemicals for nocturnally migrating passerines

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Lepczyk

Aronson

2022

Global Change Biology

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Anthropogenic activities generate different forms of environmental pollution, including artificial light at night (ALAN) and airborne toxic chemicals (ATCs). Nocturnally migrating birds are attracted to ALAN during migration and if ALAN occurs in unison with ATC, the chances of ground-level ATC contamination occurring at stopover sites could increase. Here, we document the relationship between ALAN and ATC within the contiguous United States based on 479 toxic chemicals from 15,743 releasing facilities. Using weekly diurnal estimates of relative abundance for 165 nocturnally

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Section: Methodsmentioning

confidence: 99%

Light pollution enhances ground‐level exposure to airborne toxic chemicals for nocturnally migrating passerines

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Lepczyk

Aronson

2022

Global Change Biology

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“…We used eBird Status and Trends data to estimate the timing of peak migration based on changes in weekly relative abundance (Auer et al 2020; package ebirdst version 0.30, Fink et al 2020b). These annually updated data products use statistical and machine learning models that use observer effort, and temporal and environmental covariates to estimate occurrence and abundance while accounting for variability associated with citizen science data (Fink et al 2020a).…”

Section: Statistical Analysesmentioning

confidence: 99%

Origins of harvested American black ducks: stable isotopes support the flyover hypothesis

et al. 2022

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Waterfowl management is more effective when based on detailed information on population connectivity between breeding, wintering, and stopover sites. For the American black duck (Anas rubripes), a species of conservation concern, estimates for the fall age ratio at harvest differed depending on whether harvest data were derived from Canada or the United States, suggesting regional differences. Within Canada, hunters in Atlantic Canada were more likely to harvest black ducks from nearby breeding locations compared to hunters in southern Ontario and Quebec, Canada, who were more likely to harvest individuals from the Boreal Softwood and Taiga Shield of eastern Canada. Black ducks harvested in the United States are thought to originate predominantly from northern portions of the breeding range, leading to the flyover hypothesis, which postulates that black ducks produced in the Boreal Softwood and Taiga Shield region are less susceptible to harvest by hunters in Atlantic Canada and northeastern United States. To test the flyover hypothesis, we examined regional and temporal differences in the origins of harvested black ducks using feathers from wings (n = 664) submitted by hunters to the species composition and parts collection surveys across 3 hunting seasons (2017-2018, 2018-2019, 2019-2020). We used a likelihood-based assignment method that relied on feather stable-hydrogen isotopes (δ 2 H) and stable-carbon isotopes (δ 13 C) to determine the natal or molt origin of individuals harvested within eastern Canada and the United States. We also used a spatial clustering

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“…Our predictions of high abundance areas in the north agree with what we see on the ground (TL pers. obs) and ebird data (Fink et al 2021). Another area where there is a lack of predicted GGMs is over areas of expansive monoculture crops such as banana and pineapple in the southeast of the ebird range; this is likely because the ebird range is the extent of the range and does not have detail within it.…”

Section: Key Covariates Of Ggm Abundancementioning

confidence: 99%

“…In Costa Rica, the GGM's range was reduced by ~90% by the end of the 1990s (Chassot and Monge 2002) but may have increased slightly since then (Fink et al 2021). One of the main drivers of this decline was habitat loss and degradation, with the loss of around 90% of the mountain almond (Dipteryx panamensis), a vital food and nesting tree (Monge et al 2003;Chassot et al 2007;Monge et al 2012).…”

Section: Introductionmentioning

confidence: 99%

Using passive acoustic monitoring to estimate the abundance of a critically endangered parrot, the great green macaw (Ara ambiguus)

Lewis

Vargas

Williams³

et al. 2022

Preprint

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Most conservation relies on being able to estimate population size accurately. The development, implementation and adaptation of effective conservation strategies rely on quantifying the impacts of different threats on population dynamics, identifying species that need conservation management, and providing feedback on the effectiveness of any management actions. However, current approaches are not suitable for wide-ranging species that reside in tropical ecosystems. Here we use the great green macaw Ara ambiguus as a case study to show that passive acoustic monitoring is an effective tool for collecting data that can then estimate abundance. We estimate a population of 485.65 +/- 61 SE great green macaws in Costa Rica during the breeding, suggesting the population here is larger than previously estimated. We have also highlighted potentially important areas for the species in regions that had not previously been studied. We have demonstrated at a population scale that passive acoustic monitoring (PAM) offers conservationists an efficient and effective way to understand population dynamics. With a high proportion of parrot species threatened globally, passive acoustic monitoring will enable effective monitoring and become an essential tool in conservation planning and evaluation. PAM technology has enormous potential to facilitate such assessments because it is easily scalable, recordings can be stored and re-analysed as machine learning, and abundance estimation techniques become more advanced.

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eBird Status and Trends

Cited by 61 publications

References 0 publications

Light pollution enhances ground‐level exposure to airborne toxic chemicals for nocturnally migrating passerines

Light pollution enhances ground‐level exposure to airborne toxic chemicals for nocturnally migrating passerines

Origins of harvested American black ducks: stable isotopes support the flyover hypothesis

Using passive acoustic monitoring to estimate the abundance of a critically endangered parrot, the great green macaw (Ara ambiguus)

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