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48 results for “Spring migration”
Figure 1 in At the crossroads from Asia to Europe: spring migration of raptors and black storks in Dadia National Park (Greece)
Figure 1. Dadia National Park (GR) at the crossroads from Asia to Europe. Letters refer to locations mentioned in the text, A: Dardanelles (TR), B: Evros Delta (GR/TR), C: Dadia NP (GR). Arrows symbolize the main raptor migration routes in spring, 1: Bosphorus (TR), 2: Marmara Flyway (TR), 3: Dardanelles (TR), 4: Black Sea coast (TR/BG), 5: Hypothetical flyway connecting Bosphorus with Central Bulgaria, 6: Flyway connecting Bosphorus and the Evros Delta (TR), 7: Flyway from the Evros Delta northwards along the western fringe of the Evros river floodplain (GR).
Data for Nemes et al. "Springing forward: Migrating songbirds catch up with the start of spring in North America"
<p>R scripts and data used to estimate bird migration rate and timing relative to spring onset rate and timing within North America.</p>
Data from: Spring temperature predicts upstream migration timing of invasive Sacramento pikeminnow within its introduced range
<p>Rapid climate change and invasive species introductions threaten ecological communities across the globe. Freshwaters are particularly vulnerable and impacted, especially when these stresses coincide. We document the migration of an invasive piscine predator, the Sacramento pikeminnow (<em>Ptychocheilus grandis</em>), within its introduced range, the South Fork Eel River, California, USA. Snorkel surveys and temperature monitoring in 2015–2019 showed that pikeminnow migrate upstream during spring and early summer, with earlier migration in warmer years. We developed a statistical temperature model to forecast the timing and extent of upstream migration by pikeminnow under varying combinations of discharge and air temperature. Modeled river temperature increased with air temperature and downstream and decreased with discharge. In years with low discharge and high air temperature, we predict pikeminnow will move upstream earlier, increasing spatial and temporal overlap in their summer range with native fishes. Managing conditions that reduce pikeminnow co-occurrence with native fishes (i.e., decreasing river temperature) could increase the amount and duration of predator-free habitat for native fishes. We predict invasive pikeminnow will have larger impacts on invaded riverine communities with global warming and increasing drought severity. Knowledge of life history and phenology, for pikeminnow and other organisms, can guide effective management as conditions change and help to limit adverse impacts of introduced organisms on native species.</p>
Рис. 4. РаспреΑеΛение рыб в верхнем и нижнем бьефе в периоΑ осенней миграции 2018 г. (а) и верхнем бьефе в весеннюю миграцию 2019 г. (б). Точками показаны места фиксации рыб эхоΛотом Fig. 4. Distribution of fish upstream and downstream of the reservoir during the autumn migration of 2018 (а) and upstream of the reservoir during the spring migration of 2019 (b). Points indicate the locations where fish were registered by echosounder in Dynamics and current status of the Amazar River ichthyofauna after the construction of the PPM «Polyarnaya» hydroelectric complex
Рис. 4. РаспреΑеΛение рыб в верхнем и нижнем бьефе в периоΑ осенней миграции 2018 г. (а) и верхнем бьефе в весеннюю миграцию 2019 г. (б). Точками показаны места фиксации рыб эхоΛотом Fig. 4. Distribution of fish upstream and downstream of the reservoir during the autumn migration of 2018 (а) and upstream of the reservoir during the spring migration of 2019 (b). Points indicate the locations where fish were registered by echosounder
Рис. 2. ΔоΛговременная Αинамика весенней чисΛенности трех виΑов уток (A — трескунка; B — касатки; C — шиΛохвости) на ΑебеΑинском стационаре Хинганского заповеΑника (показаны уровень значимости и 95-процентный ΑоверитеΛьный интерваΛ) Fig. 2. Long-term spring number dynamics of three duck species at the Lebedinsky Station of Khingansky State Nature Reserve with p-values and 0.95 confidence intervals. A — Gargany; B — Falcated Duck; C — Pintail in The results of long-term observation of waterfowl spring migration in Khingan Nature Reserve, Eastern Russia
Рис. 2. ΔоΛговременная Αинамика весенней чисΛенности трех виΑов уток (A — трескунка; B — касатки; C — шиΛохвости) на ΑебеΑинском стационаре Хинганского заповеΑника (показаны уровень значимости и 95-процентный ΑоверитеΛьный интерваΛ) Fig. 2. Long-term spring number dynamics of three duck species at the Lebedinsky Station of Khingansky State Nature Reserve with p-values and 0.95 confidence intervals. A — Gargany; B — Falcated Duck; C — Pintail
Рис. 1. Регион иссΛеΑований: A — его поΛожение на карте Восточной Азии; B — общий виΑ Буреинско-Хинганской низменности; C — карта-схема ΑебеΑинского стационара Хинганского заповеΑника. УсΛовные обозначения: I — Хинганский заповеΑник (вкΛючает Αва кΛастера); II — заказник «Ганукан». 1 — Антоновское воΑохраниΛище; 2 — оз. ΔоΛгое; 3 — оз. Гусиное; 4 — оз. Третье ΑебеΑиное Fig. 1. Study region: A — study region on the map of the East Asia; B — Burea-Khingan (Arkhara) lowland; C — Lebedinsky Station. Notes: I — two clusters of Khingan Nature Reserve; II — Ganukan Sanctuary. 1 — Antonovskoye Reservoir; 2 — Dolgoye Lake; 3 — Gusinoye Lake; 4 — Lebedinoye Lake in The results of long-term observation of waterfowl spring migration in Khingan Nature Reserve, Eastern Russia
Рис. 1. Регион иссΛеΑований: A — его поΛожение на карте Восточной Азии; B — общий виΑ Буреинско-Хинганской низменности; C — карта-схема ΑебеΑинского стационара Хинганского заповеΑника. УсΛовные обозначения: I — Хинганский заповеΑник (вкΛючает Αва кΛастера); II — заказник «Ганукан». 1 — Антоновское воΑохраниΛище; 2 — оз. ΔоΛгое; 3 — оз. Гусиное; 4 — оз. Третье ΑебеΑиное Fig. 1. Study region: A — study region on the map of the East Asia; B — Burea-Khingan (Arkhara) lowland; C — Lebedinsky Station. Notes: I — two clusters of Khingan Nature Reserve; II — Ganukan Sanctuary. 1 — Antonovskoye Reservoir; 2 — Dolgoye Lake; 3 — Gusinoye Lake; 4 — Lebedinoye Lake
Fig. 4 in Characterization of the Plasmodium and Haemoproteus parasite community in temperate-tropical birds during spring migration
Fig. 4. Differences by foraging guild among infected birds in the probability of Haemoproteus versus Plasmodium infection adjusted for the significant predictors in the model. Single asterisks with brackets beneath denote significant differences between categories.
Fig. 3 in Characterization of the Plasmodium and Haemoproteus parasite community in temperate-tropical birds during spring migration
Fig. 3. Differences by wintering ground among infected birds in the probability of Haemoproteus versus Plasmodium infection adjusted for the significant predictors in the model. Single asterisks with brackets beneath denote significant differences between categories.
Fig. 2 in Characterization of the Plasmodium and Haemoproteus parasite community in temperate-tropical birds during spring migration
Fig. 2. Differences by avian family in the probabilities of a) infection versus non-infection with a Haemosporidian parasite and b) among infected birds, the Plasmodium versus Haemoproteus infection adjusted for the significant predictors in the respective models. Single asterisks with brackets beneath denote significant differences between families.
Fig. 1 in Characterization of the Plasmodium and Haemoproteus parasite community in temperate-tropical birds during spring migration
Fig. 1. Location of field site in Clive Runnells Family Mad Island Marsh Preserve in Texas, USA (Image credit: Google Earth).
Data from: Spring temperature predicts upstream migration timing of invasive Sacramento pikeminnow within its introduced range
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Multiple drivers of spring migration timing for red deer over the past 16 years in northern Europe
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Data from: Stopover refueling, movement, and departure decisions in the White-throated Sparrow: the influence of intrinsic and extrinsic factors during spring migration
<p>1. Differential migration timing between sex or age classes are examples of how migratory movement strategies can differ among sub-groups within a population. However, in songbirds, evidence for intrinsic differences in en route migratory behavior is often mixed, suggesting that the local environmental context may play a role in accentuating or diminishing patterns. 2. We evaluated how multiple intrinsic and extrinsic variables influenced refueling rates, local movement behavior, and departure decisions in the White-throated Sparrow (Zonotrichia albicollis) during spring migration. This species exhibits a unique genetically-based plumage dimorphism, providing a unique class of individual in which to evaluate patterns and processes of differential migration, in addition to sex, age, and migration distance. 3. At a migratory stopover site, plasma metabolite analysis was used to quantify individual variation in stopover refueling rate. In after second year adults, automated and manual radio telemetry was used to quantify daily activity timing, daily movement distances, stopover duration, and departure time. Arrival timing to the stopover site was determined using capture data. Non-breeding and previous breeding/natal latitude were determined using analysis of hydrogen isotopes in claws and feathers. 4. Males arrived at the stopover site 11 days on average before females, but no difference in migration timing was observed between plumage morph or age classes. After second year adults with more southern previous breeding latitudes arrived at stopover earlier whereas second year birds making their first return migration arrived at stopover in an inverse relationship to non-breeding latitude. Stopover refueling rate did not differ between ages, sexes, or plumage morphs, and daily departure probability of adults was higher under warmer temperatures and favorable tailwinds. White-striped morphs moved greater distances during stopover, initiated daily activity earlier in the morning, and departed for migration earlier in the evening than tan-striped morphs. 5. Our results show that while individual phenotype can influence some aspects of local stopover-scale movement behavior, evidence for differential stopover behavior was weak. Differential migration timing is unlikely to result from intrinsic differences in en route refueling rate and departure decisions, especially because the latter is strongly influenced by meteorological conditions. </p>
The Spring Festival Effect: the change of NO2 column concentration in China caused by the migration of human activities
<p>The Spring Festival is the most important holiday in China, human activity and population mobility may contribute greatly to air quality, especially in the megacities. According to the satellite-based tropospheric nitrogen dioxide (NO<sub>2</sub>) column and ground-based observational concentration of NO<sub>2</sub> in the megacities from 2013 to 2018 around the Spring Festival, we found that NO<sub>2</sub> concentration decreases obviously during the Spring Festival and rebounds after the Spring Festival in China, particularly in the megacities. The tropospheric NO<sub>2</sub> columns density around Beijing-Tianjin-Hebei region decreases about 40% than the period before the festival, and it in Beijing decreases by 41.6% and rebounds by 22.3%. While under the Coronavirus disease 2019 (COVID-19) pandemic progresses, the tropospheric NO<sub>2</sub> columns density in Beijing decreases by 56.2% and rebounds only by 6.8% in 2020.</p>
Determinants of spring migration departure dates in a New World sparrow: weather variables reign supreme
<p><span>Numerous factors influence the timing of spring migration in birds, yet the relative importance of intrinsic and extrinsic variables on migration initiation remains unclear. To test for interactions among weather, migration distance, parasitism, and physiology in determining spring departure date, we used the Dark-eyed Junco (<em>Junco</em> <em>hyemalis</em>) as a model migratory species known to harbor diverse and common haemosporidian parasites. Prior to spring migration departure from their wintering grounds in Indiana, USA, we quantified the intrinsic variables of fat, body condition (i.e., mass~tarsus residuals), physiological stress (i.e., ratio of heterophils to lymphocytes), cellular immunity (i.e., leukocyte composition and total count), migration distance (i.e., distance to the breeding grounds) using stable isotopes of hydrogen from feathers, and haemosporidian parasite intensity. We then attached nanotags to determine the timing of spring migration departure date using the Motus Wildlife Tracking System. We used additive Cox proportional hazard mixed models to test how risk of spring migratory departure was predicted by the combined intrinsic measures, along with meteorological predictors on the evening of departure (i.e., average wind speed and direction, relative humidity, and temperature). Model comparisons found that the best predictor of spring departure date was average nightly wind direction and a principal component combining relative humidity and temperature. Juncos were more likely to depart for spring migration on nights with largely southwestern winds and on warmer and drier evenings (relative to cooler and more humid evenings). Our results indicate that weather conditions at take-off are more critical to departure decisions than the measured physiological and parasitism variables.</span></p>
Winds aloft over three water bodies influence spring stopover distributions of migrating birds along the Gulf of Mexico coast
<p>Migrating birds contend with dynamic wind conditions that ultimately influence most aspects of their migration, from broad-scale movements to individual decisions about where to rest and refuel. We used weather surveillance radar data to measure spring stopover distributions of northward migrating birds along the northern Gulf of Mexico coast and found a strong influence of winds over non-adjacent water bodies, the Caribbean Sea and Atlantic Ocean, along with the contiguous Gulf of Mexico. Specifically, we quantified the relative influence of meridional (north-south) and zonal (west-east) wind components over the three water bodies on weekly spring stopover densities along western, central, and eastern regions of the northern Gulf of Mexico coast. Winds over the Caribbean Sea and Atlantic Ocean were just as, or more, influential than winds over the Gulf of Mexico, with the highest stopover densities in the central and eastern regions of the coast following the fastest winds from the east over the Caribbean Sea. In contrast, stopover density along the western region of the coast was most influenced by winds over the Gulf of Mexico, with the highest densities following winds from the south. Our results elucidate the important role of wind conditions over multiple water bodies on region-wide stopover distributions and complement tracking data showing Nearctic-Neotropical birds flying non-stop from South America to the northern Gulf of Mexico coast. Smaller-bodied birds may be particularly sensitive to prevailing wind conditions during non-stop flights over water, with probable orientation and energetic consequences that shape subsequent terrestrial stopover distributions. In the future, the changing climate is likely to alter wind conditions associated with migration, so birds that employ non-stop over-water flight strategies may face growing challenges. </p>
Micro-evolutionary response of spring migration timing in a wild seabird
<p><span>In the context of rapid climate change, phenological advance is a key adaptation for which evidence is accumulating across taxa. Among vertebrates, phenotypic plasticity is known to underlie most of this phenological change, while evidence for micro-evolution is very limited and challenging to obtain. In this study, we quantified phenotypic and genetic trends in timing of spring migration using 8032 dates of arrival at the breeding grounds obtained from observations on 1715 individual common terns (<em>Sterna</em> <em>hirundo</em>) monitored across 27 years, and tested whether these trends were consistent with predictions of a micro-evolutionary response to selection. We observed a strong phenotypic advance of 9.3 days in arrival date, of which c. 5% was accounted for by an advance in breeding values. The Breeder's equation and Robertson's Secondary Theorem of Selection predicted qualitatively similar evolutionary responses to selection, and these theoretical predictions were largely consistent with our estimated genetic pattern. Overall, our study provides rare evidence for micro-evolution underlying (part of) an adaptive response to climate change in the wild and illustrates how a combination of adaptive micro-evolution and phenotypic plasticity facilitated a shift towards earlier spring migration in this free-living population of common terns.</span></p>
Flexibility in the face of climate change? A rapid and dramatic shift toward later spring migration in Hudsonian godwits (Limosa haemastica)
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Micro-evolutionary response of spring migration timing in a wild seabird
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Winds aloft over three water bodies influence spring stopover distributions of migrating birds along the Gulf of Mexico coast
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Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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