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Lameris TK, Boom MP, Nuijten RJM, Buitendijk NH, Eichhorn G, Ens BJ, Exo K, Glazov PM, Hanssen SA, Hunke P, van der Jeugd HP, de Jong ME, Kölzsch A, Kondratyev A, Kruckenberg H, Kulikova O, Linssen H, Loonen MJJE, Loshchagina JA, Madsen J, Moe B, Moonen S, Müskens GJDM, Nolet BA, Pokrovsky I, Reneerkens J, Scheiber IBR, Schekkerman H, Schreven KHT, Tal T, Tulp I, Verhoeven MA, Versluijs TSL, Volkov S, Wikelski M, van Bemmelen RSA. Migratory Birds Advance Spring Arrival and Egg-Laying in the Arctic, Mostly by Travelling Faster. GLOBAL CHANGE BIOLOGY 2025; 31:e70158. [PMID: 40201982 PMCID: PMC11979735 DOI: 10.1111/gcb.70158] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/13/2024] [Revised: 02/21/2025] [Accepted: 02/26/2025] [Indexed: 04/10/2025]
Abstract
In the current warming climate, many organisms in seasonal environments advance their timing of reproduction to benefit from resource peaks earlier in spring. For migrants, the potential to advance reproduction may be constrained by their migration strategies, notably their ability to advance arrival at the breeding grounds. Recent studies show various changes in migration strategies, including wintering closer to the breeding grounds, earlier departure from the wintering grounds or faster travels by spending less time at stopover sites. However, whether such changes lead to earlier arrival or earlier breeding remains an open question. We studied changes in migration and reproduction timing in 12 populations of nine migratory birds, including seabirds, shorebirds, birds of prey and waterfowl breeding at Arctic sites bordering the Greenland and Barents Sea, a region undergoing rapid climate warming. The timing of migration and reproduction was derived from tracking and field data and analysed to study (1) how timing has changed in response to the changing moment of snowmelt at the breeding grounds and (2) what adjustments in migration strategies this involved. We found that in years with early snowmelt, egg-laying in multiple populations advanced, but only two waterfowl populations also advanced arrival in the Arctic. In contrast, arrival in the Arctic generally advanced with time, even when snowmelt or egg-laying dates did not advance. Earlier arrival with time was mostly explained by populations traveling to the Arctic faster, likely spending less time at stopover sites. Inability to forecast conditions in the Arctic may limit birds to adjust migration timing to annually varying snowmelt, but we show that several species, particularly waterfowl, are able to travel faster and advance the timing of migration over the years. The question remains whether this reflects adaptations to Arctic climate change or other factors, for example, environmental changes along the migratory route.
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Affiliation(s)
- Thomas K. Lameris
- NIOZ Royal Netherlands Institute for Sea ResearchDen Burgthe Netherlands
- Groningen Institute for Evolutionary Life Sciences (GELIFES)University of GroningenGroningenthe Netherlands
| | - Michiel P. Boom
- Department of Animal EcologyNetherlands Institute of Ecology (NIOO‐KNAW)Wageningenthe Netherlands
- Vogeltrekstation—Dutch Centre for Avian Migration and Demography (NIOO‐KNAW)Wageningenthe Netherlands
- Theoretical and Computational Ecology, Institute for Biodiversity and Ecosystem DynamicsUniversity of AmsterdamAmsterdamthe Netherlands
- Sovon Dutch Centre for Field OrnithologyNijmegenthe Netherlands
| | - Rascha J. M. Nuijten
- Future For Nature, https://futurefornature.org/Arnhemthe Netherlands
- Wildlife Ecology & Conservation GroupWageningen UniversityWageningenthe Netherlands
| | - Nelleke H. Buitendijk
- Department of Animal EcologyNetherlands Institute of Ecology (NIOO‐KNAW)Wageningenthe Netherlands
- Faunabeheereenheid Noord‐HollandHaarlemthe Netherlands
| | - Götz Eichhorn
- Department of Animal EcologyNetherlands Institute of Ecology (NIOO‐KNAW)Wageningenthe Netherlands
- Vogeltrekstation—Dutch Centre for Avian Migration and Demography (NIOO‐KNAW)Wageningenthe Netherlands
- Michael‐Otto‐Institut im NABUBergenhusenGermany
| | - Bruno J. Ens
- NIOZ Royal Netherlands Institute for Sea ResearchDen Burgthe Netherlands
- Sovon Dutch Centre for Field OrnithologyNijmegenthe Netherlands
| | - Klaus‐Michael Exo
- Institute of Avian Research, Vogelwarte HelgolandWilhelmshavenGermany
| | - Petr M. Glazov
- Institute of Geography, Russian Academy of SciencesMoscowRussia
| | | | | | - Henk P. van der Jeugd
- Department of Animal EcologyNetherlands Institute of Ecology (NIOO‐KNAW)Wageningenthe Netherlands
- Vogeltrekstation—Dutch Centre for Avian Migration and Demography (NIOO‐KNAW)Wageningenthe Netherlands
| | - Margje E. de Jong
- Department of Behavioral and Cognitive BiologyUniversity of ViennaViennaAustria
- Arctic Centre, University of GroningenGroningenthe Netherlands
| | - Andrea Kölzsch
- Department of Migration, Max Planck Institute of Animal BehaviorGermany
- Radboud Institute for Biological and Environmental SciencesRadboud Universitythe Netherlands
| | | | - Helmut Kruckenberg
- Institute for Wetlands and Waterbird Research IWWR e.VVerden (Aller)Germany
| | - Olga Kulikova
- Institute of Biological Problems of the North FEB RASMagadanRussia
| | - Hans Linssen
- Department of Animal EcologyNetherlands Institute of Ecology (NIOO‐KNAW)Wageningenthe Netherlands
- Theoretical and Computational Ecology, Institute for Biodiversity and Ecosystem DynamicsUniversity of AmsterdamAmsterdamthe Netherlands
| | | | | | - Jesper Madsen
- Department of EcoscienceAarhus UniversityAarhus CDenmark
| | - Børge Moe
- Norwegian Institute for Nature Research (NINA)TrondheimNorway
| | - Sander Moonen
- Institute for Wetlands and Waterbird Research IWWR e.VVerden (Aller)Germany
- Wageningen Environmental Research (WEnR)Wageningenthe Netherlands
| | | | - Bart A. Nolet
- Department of Animal EcologyNetherlands Institute of Ecology (NIOO‐KNAW)Wageningenthe Netherlands
- Theoretical and Computational Ecology, Institute for Biodiversity and Ecosystem DynamicsUniversity of AmsterdamAmsterdamthe Netherlands
| | - Ivan Pokrovsky
- Department of Migration, Max Planck Institute of Animal BehaviorGermany
| | - Jeroen Reneerkens
- NIOZ Royal Netherlands Institute for Sea ResearchDen Burgthe Netherlands
- Department of EcoscienceAarhus UniversityAarhus CDenmark
| | | | | | - Kees H. T. Schreven
- Department of Animal EcologyNetherlands Institute of Ecology (NIOO‐KNAW)Wageningenthe Netherlands
- Theoretical and Computational Ecology, Institute for Biodiversity and Ecosystem DynamicsUniversity of AmsterdamAmsterdamthe Netherlands
| | - Tohar Tal
- Theoretical and Computational Ecology, Institute for Biodiversity and Ecosystem DynamicsUniversity of AmsterdamAmsterdamthe Netherlands
| | - Ingrid Tulp
- Wageningen Marine ResearchWageningen UniversityIJmuidenthe Netherlands
| | - Mo A. Verhoeven
- NIOZ Royal Netherlands Institute for Sea ResearchDen Burgthe Netherlands
- Department of Animal EcologyNetherlands Institute of Ecology (NIOO‐KNAW)Wageningenthe Netherlands
| | - Tom S. L. Versluijs
- NIOZ Royal Netherlands Institute for Sea ResearchDen Burgthe Netherlands
- Groningen Institute for Evolutionary Life Sciences (GELIFES)University of GroningenGroningenthe Netherlands
| | - Sergey Volkov
- Institute of Ecology and Evolution, Russian Academy of SciencesMoscowRussia
| | - Martin Wikelski
- Department of Migration, Max Planck Institute of Animal BehaviorGermany
- Department of BiologyUniversity of KonstanzKonstanzGermany
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2
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Thompson JM, Uher‐Koch BD, Daniels BL, Riecke TV, Schmutz JA, Sedinger BS. Previous reproductive success and environmental variation influence nest-site fidelity of a subarctic-nesting goose. Ecol Evol 2024; 14:e70313. [PMID: 39398630 PMCID: PMC11470157 DOI: 10.1002/ece3.70313] [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: 04/25/2024] [Revised: 08/29/2024] [Accepted: 09/03/2024] [Indexed: 10/15/2024] Open
Abstract
Nest-site fidelity is a common strategy in birds and is believed to be adaptive due to familiarity with local conditions. Returning to previously successful nest sites (i.e., the win-stay lose-switch strategy) may be beneficial when habitat quality is spatially variable and temporally predictable; however, changes in environmental conditions may constrain dispersal decisions despite previous reproductive success. We used long-term (2000-2017) capture-mark-reencounter data and hierarchical models to examine fine-scale nest-site fidelity of emperor geese (Anser canagicus) on the Yukon-Kuskokwim Delta in Alaska. Our objectives were to quantify nest-site dispersal distances, determine whether dispersal distance is affected by previous nest fate, spring timing, or major flooding events on the study area, and determine if nest-site fidelity is adaptive in that it leads to higher nest survival. Consistent with the win-stay lose-switch strategy, expected dispersal distance for individuals that failed their nesting attempt in the previous year was greater (207.7 m, 95% HPDI: 151.1-272.7) than expected dispersal distance for individuals that nested successfully in the previous year (125.5 m, 95% HPDI: 107.1-144.9). Expected dispersal distance was slightly greater following years of major flooding events for individuals that nested successfully, although this pattern was not observed for individuals that failed their nesting attempt. We did not find evidence that expected dispersal distance was influenced by spring timing. Importantly, dispersal distance was positively related to daily survival probability of emperor goose nests for individuals that failed their previous nesting attempt, suggesting an adaptive benefit to the win-stay lose-switch strategy. Our results highlight the importance of previous experience and environmental variation for informing dispersal decisions of a long-lived goose species. However, it is unclear if dispersal decisions based on previous experience will continue to be adaptive as variability in environmental conditions increases in northern breeding areas.
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Affiliation(s)
- Jordan M. Thompson
- College of Natural ResourcesUniversity of Wisconsin‐Stevens PointStevens PointWisconsinUSA
| | | | - Bryan L. Daniels
- Yukon Delta National Wildlife RefugeU.S. Fish and Wildlife ServiceBethelAlaskaUSA
| | | | - Joel A. Schmutz
- U.S. Geological SurveyAlaska Science CenterAnchorageAlaskaUSA
| | - Benjamin S. Sedinger
- College of Natural ResourcesUniversity of Wisconsin‐Stevens PointStevens PointWisconsinUSA
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3
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Chagnon-Lafortune A, Duchesne É, Legagneux P, McKinnon L, Reneerkens J, Casajus N, Abraham KF, Bolduc É, Brown GS, Brown SC, Gates HR, Gilg O, Giroux MA, Gurney K, Kendall S, Kwon E, Lanctot RB, Lank DB, Lecomte N, Leung M, Liebezeit JR, Morrison RIG, Nol E, Payer DC, Reid D, Ruthrauff D, Saalfeld ST, Sandercock BK, Smith PA, Schmidt NM, Tulp I, Ward DH, Høye TT, Berteaux D, Bêty J. A circumpolar study unveils a positive non-linear effect of temperature on arctic arthropod availability that may reduce the risk of warming-induced trophic mismatch for breeding shorebirds. GLOBAL CHANGE BIOLOGY 2024; 30:e17356. [PMID: 38853470 DOI: 10.1111/gcb.17356] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Revised: 03/18/2024] [Accepted: 04/03/2024] [Indexed: 06/11/2024]
Abstract
Seasonally abundant arthropods are a crucial food source for many migratory birds that breed in the Arctic. In cold environments, the growth and emergence of arthropods are particularly tied to temperature. Thus, the phenology of arthropods is anticipated to undergo a rapid change in response to a warming climate, potentially leading to a trophic mismatch between migratory insectivorous birds and their prey. Using data from 19 sites spanning a wide temperature gradient from the Subarctic to the High Arctic, we investigated the effects of temperature on the phenology and biomass of arthropods available to shorebirds during their short breeding season at high latitudes. We hypothesized that prolonged exposure to warmer summer temperatures would generate earlier peaks in arthropod biomass, as well as higher peak and seasonal biomass. Across the temperature gradient encompassed by our study sites (>10°C in average summer temperatures), we found a 3-day shift in average peak date for every increment of 80 cumulative thawing degree-days. Interestingly, we found a linear relationship between temperature and arthropod biomass only below temperature thresholds. Higher temperatures were associated with higher peak and seasonal biomass below 106 and 177 cumulative thawing degree-days, respectively, between June 5 and July 15. Beyond these thresholds, no relationship was observed between temperature and arthropod biomass. Our results suggest that prolonged exposure to elevated temperatures can positively influence prey availability for some arctic birds. This positive effect could, in part, stem from changes in arthropod assemblages and may reduce the risk of trophic mismatch.
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Affiliation(s)
- Aurélie Chagnon-Lafortune
- Chaire de Recherche du Canada en Biodiversité Nordique, Département de Biologie, and Centre d'études Nordiques, Université du Québec à Rimouski, Rimouski, Québec, Canada
| | - Éliane Duchesne
- Chaire de Recherche du Canada en Biodiversité Nordique, Département de Biologie, and Centre d'études Nordiques, Université du Québec à Rimouski, Rimouski, Québec, Canada
| | - Pierre Legagneux
- Département de Biologie, Chaire de Recherche Sentinelle Nord Sur l'impact des Migrations Animales Sur les Écosystèmes Nordiques et Centre d'études Nordiques, Université Laval, Québec City, Québec, Canada
- CNRS- Centre d'Études Biologiques de Chizé - UMR 7372, Beauvoir-sur-Niort, France
| | - Laura McKinnon
- Department of Multidisciplinary Studies and Graduate Program in Biology, York University, Glendon Campus, Toronto, Ontario, Canada
| | - Jeroen Reneerkens
- Groningen Institute for Evolutionary Life Sciences (GELIFES), University of Groningen, Groningen, The Netherlands
| | - Nicolas Casajus
- Chaire de Recherche du Canada en Biodiversité Nordique, Département de Biologie, and Centre d'études Nordiques, Université du Québec à Rimouski, Rimouski, Québec, Canada
| | - Kenneth F Abraham
- Wildlife Research and Monitoring Section, Ontario Ministry of Natural Resources and Forestry, Trent University, Peterborough, Ontario, Canada
| | - Élise Bolduc
- Chaire de Recherche du Canada en Biodiversité Nordique, Département de Biologie, and Centre d'études Nordiques, Université du Québec à Rimouski, Rimouski, Québec, Canada
| | - Glen S Brown
- Wildlife Research and Monitoring Section, Ontario Ministry of Natural Resources and Forestry, Trent University, Peterborough, Ontario, Canada
| | | | - H River Gates
- Manomet, Shorebird Recovery Program, Plymouth, Massachusetts, USA
- Migratory Bird Management, U.S. Fish and Wildlife Service, Anchorage, Alaska, USA
| | - Olivier Gilg
- Laboratoire Chrono-Environnement, UMR 6249 CNRS-UFC, Université de Franche-Comté, Besançon, France
- Groupe de Recherche en Écologie Arctique, Francheville, France
| | - Marie-Andrée Giroux
- K.-C.-Irving Research Chair in Environmental Sciences and Sustainable Development, Université de Moncton, Moncton, New Brunswick, Canada
| | - Kirsty Gurney
- Institute of Arctic Biology, University of Alaska Fairbanks, Fairbanks, Alaska, USA
| | - Steve Kendall
- Arctic National Wildlife Refuge, U.S. Fish and Wildlife Service, Fairbanks, Alaska, USA
| | - Eunbi Kwon
- Department of Behavioural Ecology & Evolutionary Genetics, Max Planck Institute for Ornithology, Seewiesen, Germany
| | - Richard B Lanctot
- Migratory Bird Management, U.S. Fish and Wildlife Service, Anchorage, Alaska, USA
| | - David B Lank
- Department of Biological Sciences, Simon Fraser University, Burnaby, British Columbia, Canada
| | - Nicolas Lecomte
- Canada Research Chair in Polar and Boreal Ecology, Centre d'études Nordiques, Université de Moncton, Moncton, New Brunswick, Canada
| | - Maria Leung
- Wild Tracks Ecological Consulting, Whitehorse, Yukon, Canada
| | | | - R I Guy Morrison
- National Wildlife Research Centre, Environment and Climate Change Canada, Ottawa, Ontario, Canada
| | - Erica Nol
- Department of Biology, Trent University, Peterborough, Ontario, Canada
| | - David C Payer
- U.S. Fish and Wildlife Service, Fairbanks, Alaska, USA
| | - Donald Reid
- Wildlife Conservation Society Canada, Whitehorse, Yukon, Canada
| | - Daniel Ruthrauff
- Alaska Science Center, US Geological Survey, Anchorage, Alaska, USA
| | - Sarah T Saalfeld
- Migratory Bird Management, U.S. Fish and Wildlife Service, Anchorage, Alaska, USA
| | - Brett K Sandercock
- Department of Terrestrial Ecology, Norwegian Institute for Nature Research, Trondheim, Norway
| | - Paul A Smith
- Wildlife Research Division, Environment and Climate Change Canada, Ottawa, Ontario, Canada
| | - Niels Martin Schmidt
- Department of Ecoscience and Arctic Research Centre, Aarhus University, Roskilde, Denmark
| | - Ingrid Tulp
- Wageningen Marine Research, Wageningen University & Research, IJmuiden, The Netherlands
| | - David H Ward
- Alaska Science Center, US Geological Survey, Anchorage, Alaska, USA
| | - Toke T Høye
- Department of Ecoscience and Arctic Research Centre, Aarhus University, Aarhus, Denmark
| | - Dominique Berteaux
- Chaire de Recherche du Canada en Biodiversité Nordique, Département de Biologie, and Centre d'études Nordiques, Université du Québec à Rimouski, Rimouski, Québec, Canada
| | - Joël Bêty
- Chaire de Recherche du Canada en Biodiversité Nordique, Département de Biologie, and Centre d'études Nordiques, Université du Québec à Rimouski, Rimouski, Québec, Canada
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4
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Tavera EA, Lank DB, Douglas DC, Sandercock BK, Lanctot RB, Schmidt NM, Reneerkens J, Ward DH, Bêty J, Kwon E, Lecomte N, Gratto-Trevor C, Smith PA, English WB, Saalfeld ST, Brown SC, Gates HR, Nol E, Liebezeit JR, McGuire RL, McKinnon L, Kendall S, Robards M, Boldenow M, Payer DC, Rausch J, Solovyeva DV, Stalwick JA, Gurney KEB. Why do avian responses to change in Arctic green-up vary? GLOBAL CHANGE BIOLOGY 2024; 30:e17335. [PMID: 38771086 DOI: 10.1111/gcb.17335] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Revised: 03/29/2024] [Accepted: 04/17/2024] [Indexed: 05/22/2024]
Abstract
Global climate change has altered the timing of seasonal events (i.e., phenology) for a diverse range of biota. Within and among species, however, the degree to which alterations in phenology match climate variability differ substantially. To better understand factors driving these differences, we evaluated variation in timing of nesting of eight Arctic-breeding shorebird species at 18 sites over a 23-year period. We used the Normalized Difference Vegetation Index as a proxy to determine the start of spring (SOS) growing season and quantified relationships between SOS and nest initiation dates as a measure of phenological responsiveness. Among species, we tested four life history traits (migration distance, seasonal timing of breeding, female body mass, expected female reproductive effort) as species-level predictors of responsiveness. For one species (Semipalmated Sandpiper), we also evaluated whether responsiveness varied across sites. Although no species in our study completely tracked annual variation in SOS, phenological responses were strongest for Western Sandpipers, Pectoral Sandpipers, and Red Phalaropes. Migration distance was the strongest additional predictor of responsiveness, with longer-distance migrant species generally tracking variation in SOS more closely than species that migrate shorter distances. Semipalmated Sandpipers are a widely distributed species, but adjustments in timing of nesting relative to variability in SOS did not vary across sites, suggesting that different breeding populations of this species were equally responsive to climate cues despite differing migration strategies. Our results unexpectedly show that long-distance migrants are more sensitive to local environmental conditions, which may help them to adapt to ongoing changes in climate.
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Affiliation(s)
| | - David B Lank
- Simon Fraser University, Burnaby, British Columbia, Canada
| | - David C Douglas
- Alaska Science Center, U.S. Geological Survey, Anchorage, Alaska, USA
| | | | | | | | - Jeroen Reneerkens
- Groningen Institute for Evolutionary Life Sciences, University of Groningen, Groningen, The Netherlands
| | - David H Ward
- Alaska Science Center, U.S. Geological Survey, Anchorage, Alaska, USA
| | - Joël Bêty
- Université du Québec à Rimouski and Centre d'études nordiques, Rimouski, Quebec, Canada
| | - Eunbi Kwon
- Max Planck Institute for Biological Intelligence, Seewiesen, Germany
| | | | - Cheri Gratto-Trevor
- Science and Technology Branch, Environment and Climate Change Canada, Saskatoon, Saskatchewan, Canada
| | - Paul A Smith
- Science and Technology Branch, Environment and Climate Change Canada, Ottawa, Ontario, Canada
| | | | | | | | - H River Gates
- Manomet, Shorebird Recovery Program, Plymouth, Massachusetts, USA
- Migratory Bird Management, U.S. Fish and Wildlife Service, Anchorage, Alaska, USA
| | - Erica Nol
- Trent University, Peterborough, Ontario, Canada
| | | | | | | | - Steve Kendall
- U.S. Fish and Wildlife Service, Arctic National Wildlife Refuge, Fairbanks, Alaska, USA
| | | | | | | | - Jennie Rausch
- Canadian Wildlife Service, Environment and Climate Change Canada, Yellowknife, Northwest Territories, Canada
| | - Diana V Solovyeva
- Institute of Biological Problems of the North, Far Eastern Branch, Russian Academy of Sciences, Magadan, Russia
| | - Jordyn A Stalwick
- Science and Technology Branch, Environment and Climate Change Canada, Saskatoon, Saskatchewan, Canada
| | - Kirsty E B Gurney
- Science and Technology Branch, Environment and Climate Change Canada, Saskatoon, Saskatchewan, Canada
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5
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Rademaker M, van Leeuwen A, Smallegange IM. Why we cannot always expect life history strategies to directly inform on sensitivity to environmental change. J Anim Ecol 2024; 93:348-366. [PMID: 38303132 DOI: 10.1111/1365-2656.14050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Accepted: 12/20/2023] [Indexed: 02/03/2024]
Abstract
Variation in life history traits in animals and plants can often be structured along major axes of life history strategies. The position of a species along these axes can inform on their sensitivity to environmental change. For example, species with slow life histories are found to be less sensitive in their long-term population responses to environmental change than species with fast life histories. This provides a tantalizing link between sets of traits and population responses to change, contained in a highly generalizable theoretical framework. Life history strategies are assumed to reflect the outcome of life history tradeoffs that, by their very nature, act at the individual level. Examples include the tradeoff between current and future reproductive success, and allocating energy into growth versus reproduction. But the importance of such tradeoffs in structuring population-level responses to environmental change remains understudied. We aim to increase our understanding of the link between individual-level life history tradeoffs and the structuring of life history strategies across species, as well as the underlying links to population responses to environmental change. We find that the classical association between lifehistory strategies and population responses to environmental change breaks down when accounting for individual-level tradeoffs and energy allocation. Therefore, projecting population responses to environmental change should not be inferred based only on a limited set of species traits. We summarize our perspective and a way forward in a conceptual framework.
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Affiliation(s)
- Mark Rademaker
- Department of Coastal Systems, Royal NIOZ and Utrecht University, Texel, The Netherlands
| | - Anieke van Leeuwen
- Department of Coastal Systems, Royal NIOZ and Utrecht University, Texel, The Netherlands
| | - Isabel M Smallegange
- School of Natural & Environmental Sciences, Newcastle University, Newcastle upon Tyne, UK
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6
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Huang X, An R, Wang H, Xing F, Wang B, Fan M, Fang Y, Lu H. Differential effects of climatic and non-climatic factors on the distribution of vegetation phenology trends on the Tibetan plateau. Heliyon 2023; 9:e21069. [PMID: 37876470 PMCID: PMC10590980 DOI: 10.1016/j.heliyon.2023.e21069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Revised: 10/13/2023] [Accepted: 10/13/2023] [Indexed: 10/26/2023] Open
Abstract
The study of vegetation phenology changes is important because it is a sensitive indicator of climate change, affecting the exchange of carbon, energy and water fluxes between the land and the atmosphere. Previous studies have focused on the effects of climatic factors among environmental factors on vegetation phenology, thus the effects of non-climatic factors among environmental factors have not been well quantified. This study endeavors to scrutinize the spatiotemporal inconsistency in the start-of-season (SOS) and the end-of-season (EOS) on the Tibetan Plateau (TP) and to quantify the effects of environmental factors on phenology. To this end, the Moderate-resolution Imaging Spectroradiomater (MODIS) Normalized Difference Vegetation Index (NDVI) data from 2001 to 2018 and four common used methods were employed to extract SOS and EOS, and the site data was used to select the most appropriate phenology results. The Geodetector model was used to assess and measure the explanatory power of different environmental factors. The research results indicate that temperature exerts a more substantial impact on phenology than precipitation on TP. non-climatic factors such as longitude, latitude, and elevation are more influential in determining the distribution of phenological trends than climatic factors. Among these non-climatic factors, latitude has the most prominent effect on the trends of SOS. Furthermore, non-climatic factors exhibit a stronger effect on SOS, whereas EOS is more susceptible to climatic factors and less influenced by non-climatic factors. These discoveries bear great significance in comprehending the intricate outcomes of regional changes on vegetation phenology and enhancing phenology models.
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Affiliation(s)
- Xianglin Huang
- College of Hydrology and Water Resources, Hohai University, Nanjing, 210024, China
- School of Earth Science and Engineering, Hohai University, Nanjing, 211100, China
- Australian Rivers Institute, Griffith University, Queensland, 4111, Australia
| | - Ru An
- College of Hydrology and Water Resources, Hohai University, Nanjing, 210024, China
| | - Huilin Wang
- Department of Geography Information Science, Nanjing University, Nanjing, 210023, China
| | - Fei Xing
- School of Earth Science and Engineering, Hohai University, Nanjing, 211100, China
| | - Benlin Wang
- School of Geographic Information and Tourism, Chuzhou University, Chuzhou, 239000, China
| | - Mengyao Fan
- School of Earth Science and Engineering, Hohai University, Nanjing, 211100, China
| | - Yunying Fang
- Australian Rivers Institute, Griffith University, Queensland, 4111, Australia
| | - Hongliang Lu
- School of Earth Science and Engineering, Hohai University, Nanjing, 211100, China
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