Evidence map›Paper›PMID 35656733›Full record

ArticleGlobal change biology2022

Citizen science reveals waterfowl responses to extreme winter weather.

Nicholas M Masto, Orin J Robinson, Michael G Brasher, Allison C Keever, Abigail G Blake-Bradshaw, Cory J Highway, Jamie C Feddersen, Heath M Hagy, Douglas C Osborne, Daniel L Combs and 1 more

Abstract read
In one paragraph

Article in Global change biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Nicholas M MastoCollege of Arts and Sciences, Tennessee Technological University, Cookeville, Tennessee, USA.ORCID 0000-0002-0186-3057
Orin J RobinsonCornell Lab of Ornithology, Cornell University, Ithaca, New York, USA.
Michael G BrasherDucks Unlimited Inc., Memphis, Tennessee, USA.
Allison C KeeverCollege of Arts and Sciences, Tennessee Technological University, Cookeville, Tennessee, USA.
Abigail G Blake-BradshawCollege of Arts and Sciences, Tennessee Technological University, Cookeville, Tennessee, USA.
Cory J HighwayCollege of Arts and Sciences, Tennessee Technological University, Cookeville, Tennessee, USA.
Jamie C FeddersenDivision of Wildlife and Forestry, Tennessee Wildlife Resources Agency, Nashville, Tennessee, USA.
Heath M HagyNational Wildlife Refuge System, U.S. Fish and Wildlife Service, Stanton, Tennessee, USA.
Douglas C OsborneCollege of Forestry, Agriculture, and Natural Resources, University of Arkansas at Monticello, Monticello, Arkansas, USA.
Daniel L CombsCollege of Arts and Sciences, Tennessee Technological University, Cookeville, Tennessee, USA.
Bradley S CohenCollege of Arts and Sciences, Tennessee Technological University, Cookeville, Tennessee, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Citizen ScienceExtreme WeatherAnimalsClimate ChangeDucksSeasonsWeathercitizen scienceclimate changedistributionseBirdextreme climatic eventGPS telemetrypolar vortexwaterfowlweather severity

Identifiers

PMID35656733
PMCPMC9545755

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.