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Verheijen BHF, Webb EB, Brasher MG, Hagy HM. Long-term changes in autumn-winter harvest distributions vary among duck species, months, and subpopulations. Ecol Evol 2024; 14:e11331. [PMID: 38832139 PMCID: PMC11145621 DOI: 10.1002/ece3.11331] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Revised: 03/28/2024] [Accepted: 04/10/2024] [Indexed: 06/05/2024] Open
Abstract
Our aim was to describe shifts in autumn and winter harvest distributions of three species of dabbling ducks (blue-winged teal [Spatula discors], mallard [Anas platyrhynchos], and northern pintail [Anas acuta]) in the Central and Mississippi flyways of North America during 1960-2019. We measured shifts in band recovery distributions corrected for changes in hunting season dates and zones by using kernel density estimators to calculate 10 distributional metrics. We then assessed interannual and intraspecific variation by comparing species-specific changes in distributional metrics for 4 months (October-January) and three geographically based subpopulations. During 1960-2019, band recovery distributions shifted west- and southwards (blue-winged teal) or east- and northwards (mallard and northern pintail) by one hundred to several hundred kilometers. For all three species, the broad (95% isopleth) and core distributions (50% isopleth) showed widespread decreases in overlap and increases in relative area compared to a 1960-1979 baseline period. Shifts in band recovery distributions varied by month, with southward shifts for blue-winged teal most pronounced in October and northward shifts for mallard and northern pintail greatest during December and January. Finally, distributional metric response varied considerably among mallard subpopulations, including 2-4-fold differences in longitude, latitude, and overlap, whereas differences among subpopulations were minimal for blue-winged teal and northern pintail. Our findings support the popular notion that winter (December-January) distributions of duck species have shifted north; however, the extent and direction of distributional changes vary among species and subpopulations. Long-term distributional changes are therefore complex and summarizing shifts across species, months, or subpopulations could mask underlying finer-scale patterns that are important to habitat conservation and population management. A detailed understanding of how species distributions have changed over time will help quantify important drivers of species occurrence, identify habitat management options, and could inform decisions on where to focus conservation or restoration efforts.
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Affiliation(s)
- Bram H. F. Verheijen
- Missouri Cooperative Fish and Wildlife Research Unit, School of Natural ResourcesUniversity of MissouriColumbiaMissouriUSA
| | - Elisabeth B. Webb
- U.S. Geological Survey, Missouri Cooperative Fish and Wildlife Research Unit, School of Natural ResourcesUniversity of MissouriColumbiaMissouriUSA
| | | | - Heath M. Hagy
- U.S. Fish and Wildlife Service, Habitat and Population Evaluation TeamBismarckNorth DakotaUSA
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Burner RC, Golas BD, Aagaard KJ, Lonsdorf EV, Thogmartin WE. Marginal value analysis reveals shifting importance of migration habitat for waterfowl under a changing climate. Ecol Evol 2023; 13:e10632. [PMID: 37953991 PMCID: PMC10636373 DOI: 10.1002/ece3.10632] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2023] [Revised: 09/22/2023] [Accepted: 10/06/2023] [Indexed: 11/14/2023] Open
Abstract
Migratory waterfowl are an important resource for consumptive and non-consumptive users alike and provide tremendous economic value in North America. These birds rely on a complex matrix of public and private land for forage and roosting during migration and wintering periods, and substantial conservation effort focuses on increasing the amount and quality of target habitat. Yet, the value of habitat is a function not only of a site's resources but also of its geographic position and weather. To quantify this value, we used a continental-scale energetics-based model of daily dabbling duck movement to assess the marginal value of lands across the contiguous United States during the non-breeding period (September to May). We examined effects of eliminating each habitat node (32 × 32 km) in both a particularly cold and a particularly warm winter, asking which nodes had the largest effect on survival. The marginal value of habitat nodes for migrating dabbling ducks was a function of forage and roosting habitat but, more importantly, of geography (especially latitude and region). Irrespective of weather, nodes in the Southeast, central East Coast, and California made the largest positive contributions to survival. Conversely, nodes in the Midwest, Northeast, Florida, and the Pacific Northwest had consistent negative effects. Effects (positive and negative) of more northerly nodes occurred in late fall or early spring when climate was often severe and was most variable. Importance and effects of many nodes varied considerably between a cold and a warm winter. Much of the Midwest and central Great Plains benefited duck survival in a warm winter, and projected future warming may improve the value of lands in these regions, including many National Wildlife Refuges, for migrating dabbling ducks. Our results highlight the geographic variability in habitat value, as well as shifts that may occur in these values due to climate change.
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Affiliation(s)
- Ryan C. Burner
- U.S. Geological SurveyUpper Midwest Environmental Sciences CenterLa CrosseWisconsinUSA
| | - Benjamin D. Golas
- U.S. Geological SurveyUpper Midwest Environmental Sciences CenterLa CrosseWisconsinUSA
- Department of BiologyColorado State UniversityFort CollinsColoradoUSA
| | | | - Eric V. Lonsdorf
- Department of Environmental SciencesEmory UniversityAtlantaGeorgiaUSA
| | - Wayne E. Thogmartin
- U.S. Geological SurveyUpper Midwest Environmental Sciences CenterLa CrosseWisconsinUSA
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Pearse AT, Szymanski ML, Anchor CA, Anteau MJ, Murano RM, Brandt DA, Stafford JD. Factors influencing autumn-winter movements of midcontinent Mallards and consequences for harvest and habitat management. Ecol Evol 2023; 13:e10605. [PMID: 37899883 PMCID: PMC10600409 DOI: 10.1002/ece3.10605] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Revised: 09/15/2023] [Accepted: 09/25/2023] [Indexed: 10/31/2023] Open
Abstract
Annual phenology and distributions of migratory wildlife have been noticeably influenced by climate change, leading to concerns about sustainable populations. Recent studies exploring conditions influencing autumn migration departure have provided conflicting insights regarding factors influencing the movements of Mallards (Anas platyrhynchos), a popular game species. We determined factors affecting timing and magnitude of long-distance movements of 97 juvenile Mallards during autumn-winter across the midcontinent of North America marked with implanted transmitters in North and South Dakota, 2018-2019. Factors influencing variation in movement timing, along with direction and magnitudes, depended on type of movement (i.e., regional [25-310 km], initial migration, or subsequent migration movements [>310 km]). Photoperiod influenced probability of initiating all movements, although the effect was most influential for regional movements. Minimum temperature most influenced initial migration events (probability of movement increased 29% for each 1°C decrease); favorable winds also increased likelihood of initial migration events. Probability of subsequent migration events increased 80% for each 1 cm increase in depth of snow. Subsequent migration movements also were 2.0 times more likely to occur on weekend days, indicating disturbance from humans may influence movements. Migration distances increased 166 km for each 1°C reduction in minimum temperature. We also observed markedly different autumn-winter distributions of marked birds between years. Median locations during autumn-winter 2018-2019 were ~250 km farther north and ~300 km farther west during mid-December-January compared to the same time in 2019-2020. Concurrently, harvest rates for marked females and males were 10% and 26% during autumn-winter 2018-2019 and 26% and 31% during autumn-winter 2019-2020. Climate-related changes may result in increasingly variable autumn-winter distributions, with implications for wildlife recreationalists, conservation planners, and harvest managers.
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Affiliation(s)
- Aaron T. Pearse
- U.S. Geological Survey, Northern Prairie Wildlife Research CenterJamestownNorth DakotaUSA
| | | | - Cynthia A. Anchor
- Department of Natural Resources ManagementSouth Dakota State UniversityBrookingsSouth DakotaUSA
| | - Michael J. Anteau
- U.S. Geological Survey, Northern Prairie Wildlife Research CenterJamestownNorth DakotaUSA
| | | | - David A. Brandt
- U.S. Geological Survey, Northern Prairie Wildlife Research CenterJamestownNorth DakotaUSA
| | - Joshua D. Stafford
- U.S. Geological Survey, South Dakota Cooperative Fish and Wildlife Research UnitBrookingsSouth DakotaUSA
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Bragazzi NL, Garbarino S, Puce L, Trompetto C, Marinelli L, Currà A, Jahrami H, Trabelsi K, Mellado B, Asgary A, Wu J, Kong JD. Planetary sleep medicine: Studying sleep at the individual, population, and planetary level. Front Public Health 2022; 10:1005100. [PMID: 36330122 PMCID: PMC9624384 DOI: 10.3389/fpubh.2022.1005100] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Accepted: 09/20/2022] [Indexed: 01/27/2023] Open
Abstract
Circadian rhythms are a series of endogenous autonomous oscillators that are generated by the molecular circadian clock which coordinates and synchronizes internal time with the external environment in a 24-h daily cycle (that can also be shorter or longer than 24 h). Besides daily rhythms, there exist as well other biological rhythms that have different time scales, including seasonal and annual rhythms. Circadian and other biological rhythms deeply permeate human life, at any level, spanning from the molecular, subcellular, cellular, tissue, and organismal level to environmental exposures, and behavioral lifestyles. Humans are immersed in what has been called the "circadian landscape," with circadian rhythms being highly pervasive and ubiquitous, and affecting every ecosystem on the planet, from plants to insects, fishes, birds, mammals, and other animals. Anthropogenic behaviors have been producing a cascading and compounding series of effects, including detrimental impacts on human health. However, the effects of climate change on sleep have been relatively overlooked. In the present narrative review paper, we wanted to offer a way to re-read/re-think sleep medicine from a planetary health perspective. Climate change, through a complex series of either direct or indirect mechanisms, including (i) pollution- and poor air quality-induced oxygen saturation variability/hypoxia, (ii) changes in light conditions and increases in the nighttime, (iii) fluctuating temperatures, warmer values, and heat due to extreme weather, and (iv) psychological distress imposed by disasters (like floods, wildfires, droughts, hurricanes, and infectious outbreaks by emerging and reemerging pathogens) may contribute to inducing mismatches between internal time and external environment, and disrupting sleep, causing poor sleep quantity and quality and sleep disorders, such as insomnia, and sleep-related breathing issues, among others. Climate change will generate relevant costs and impact more vulnerable populations in underserved areas, thus widening already existing global geographic, age-, sex-, and gender-related inequalities.
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Affiliation(s)
- Nicola Luigi Bragazzi
- Laboratory for Industrial and Applied Mathematics (LIAM), Department of Mathematics and Statistics, York University, Toronto, ON, Canada,*Correspondence: Nicola Luigi Bragazzi
| | - Sergio Garbarino
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics and Maternal/Child Sciences (DINOGMI), University of Genoa, Genoa, Italy
| | - Luca Puce
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics and Maternal/Child Sciences (DINOGMI), University of Genoa, Genoa, Italy
| | - Carlo Trompetto
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics and Maternal/Child Sciences (DINOGMI), University of Genoa, Genoa, Italy,Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Ospedale Policlinico San Martino, Genoa, Italy
| | - Lucio Marinelli
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics and Maternal/Child Sciences (DINOGMI), University of Genoa, Genoa, Italy,Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Ospedale Policlinico San Martino, Genoa, Italy
| | - Antonio Currà
- Department of Medical-Surgical Sciences and Biotechnologies, Academic Neurology Unit, Ospedale A. Fiorini, Terracina, Italy,Sapienza University of Rome, Rome, Italy
| | - Haitham Jahrami
- Ministry of Health, Manama, Bahrain,College of Medicine and Medical Sciences, Arabian Gulf University, Manama, Bahrain
| | - Khaled Trabelsi
- High Institute of Sport and Physical Education of Sfax, University of Sfax, Sfax, Tunisia,Research Laboratory: Education, Motricity, Sport and Health, EM2S, LR19JS01, University of Sfax, Sfax, Tunisia
| | - Bruce Mellado
- School of Physics and Institute for Collider Particle Physics, University of the Witwatersrand, Johannesburg, South Africa,Subatomic Physics, iThemba Laboratory for Accelerator Based Sciences, Somerset West, South Africa
| | - Ali Asgary
- Disaster and Emergency Management Area and Advanced Disaster, Emergency and Rapid-Response Simulation (ADERSIM), School of Administrative Studies, York University, Toronto, ON, Canada
| | - Jianhong Wu
- Laboratory for Industrial and Applied Mathematics (LIAM), Department of Mathematics and Statistics, York University, Toronto, ON, Canada
| | - Jude Dzevela Kong
- Laboratory for Industrial and Applied Mathematics (LIAM), Department of Mathematics and Statistics, York University, Toronto, ON, Canada
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