Materials and Methods to study relationships between woodpigeon (Columba palumbus ) autumn migrations’ flight’s heights and meteorological-orographical factors : preliminary report-experience 2019 on a single “crossing site-region”( Liguria) in Italy. Cavina Enrico(*),Bucchi Rinaldo,Bianchi Denis,Giovanetti Graziano,Feligetti Vasco Club Italiano del Colombaccio (*)ecavinaster@gmail.com–

image_pdfimage_print

 

The present paper is according to
and it is built to be read – preferably – on P.C.

 

 

 

 

 

 

ABSTRACT/SUMMARY
The definition of “dynamic flight habitat”puts strongly the need to investigate the flight-height of birds during the migration and inside/over the “grounds’ habitat”.
We investigated these items in a special region –Liguria- in North Italy that is crossed in autumn by thousands of flocks of woodpigeons ( Columba palumbus) : they meet various meteo-orographic conditions and over them the birds realize flight’s strategies to overcome a complex orography and connected temporal atmosphere ( Air Pressure,isobaric corridors,winds,humidity,visibility,extreme events).
The present paper –online- offers a detailed material examined by original methods ,comparing flight’s height and some meteo-factors.

The overview is based on  this Map and depending on the recording-work of 9 hunters developed by special accuracy on three sectors ( special Project MSM) East,Central,West.

Our results show a clear relationship between high Air Pressure ,tail winds,and best temporal flight’s height conditions.variously recorded from East to West .

The Authors underline the need of better statistical insights and better research on the anatomy-phisiology of the Para-Tympanic Organo (PTO) of Vitali as supposed barometer-altimeter.

Key-words : flight’s height,Air Pressure,winds,orography,migration routes/paths,isobaric corridors

INTRODUCTION and preliminary discussion

The study of the birds’ flight-height’s dynamics is a special research-section involving the research on the migration phenology of many birds species also as woodpigeons ( Columba palumbus) (A) ,birds migrating on long-medium-short distance ,and usually by medium-large flocks.

Very recently (2019) it was written “ Interactions between landscape and atmoshere result in a dynamic flight habitat wich birds may use opportunistically to save energy during flight.However ,their ability to utilize these dynamic landscapes and its influence on shapping movement paths is not well understood    ( Sage E. & co-Authors :Orographic lift shapes flight routes of gulls in virtually flat landscapes” Scientific Reports (2019) 9:9659 on-line at https://www.nature.com/articles/s41598-019-46017-x)

-This paper ( and connected references) must be considered basic for our report.

Recently our research efforts developed many items concerning autumn migration phenology in Italy , and some of them are focused on the relationships between Air Pressure and “Paratympanic Organ of Vitali” ‘s ( PTO)   supposed function as barometer/altimeter : references (2017-18-19-20) of our investigations are available on the Italian Journal Woodpigeon Research (IJWR)- journal on-line (https://journal.ilcolombaccio.it/) ( AC,AD,AE,AG)

During the last two seasons 2018-19 –inside the spirit of Citizen Science – some papers have been published on IJWR : Rinaldo Bucchi – https://journal.ilcolombaccio.it/m-s-m-suivi-selectif-migration-etude-de-la-migration-post-nuptiale-2019-du-pigeon-ramier/, // Denis Bianchi https://journal.ilcolombaccio.it/migration-du-pigeon-ramier-depuis-le-delta-du-po-jusqua-la-corse-escale-et-hivernage-au-bois-de-mesola-annee-2019-2020/ also these papers are basic for the present report together with the fundamental paper :  Cavina E., Bucchi R.,Busse P. – 2018 – THE GENERAL PATTERN OF SEASONAL DYNAMICS OF THE AUTUMN MIGRATION OF THE WOOD PIGEON (COLUMBA PALUMBUS) IN ITALY-  THE RING 40 (2018) 10.1515/ring-2018-0001 (AA)

https://www.researchgate.net/publication/328336987_The_General_Pattern_of_Seasonal_Dynamics_of_The_Autumn_Migration_of_The_Wood_Pigeon_Columba_Palumbus_in_Italy

Other recent analysis is related to the autumn migration 2018 : “Woodpigeon’s (Columba palumbus) autumn 2018 migration : a new method to study dynamic patterns along a single crossing route in Central Italy .Focus on “flocking” , “hunting pressure” , “ woddpigeons’ ages “ in a preliminary report .” 

Italian Journal Woodpigeon Research – 19 August.2019 https://journal.ilcolombaccio.it/woodpigeons-columba-palumbus-autumn-2018-migration-a-new-method-to-study-dynamic-patterns-along-a-single-crossing-route-in-central-italy-focus-on-flocking/

On these basic papers (main reference :MSM )(25) we have the opportunity to do a special focus on a special transit area ( tyrrenian coast and inlands of Liguria Region ) wich presents various and special orographic characters as following .

  • coastal  inlands with many valleys and hills until the mountain barrier of Marittime Alps
  • large sea-gulf that is first on the Mediterranean coast just before the second Lion Gulf (France) at west.

 

 

 

 

 

 

 

 

 

The geography of the Liguria area realizes various metereological conditions (10) ( sometimes suddenly changing) ( https://www.tandfonline.com/doi/pdf/10.1080/17445647.2012.703901    and  http://www.centrometeo.com/articoli-reportage-approfondimenti/climatologia/5410-clima-liguria) and connected atmosheric movements ( interactions between landscape and atmoshere ) through those the birds must choice virtual air corridors possibly “opportunistically  useful to save energy during the flight “.

The winds (3,6,18,22bis,29,40,44,47,50,58,76,91,99,105,113,123,131,142,163,169,185,197,205,212,215,220,223,AH) play a fundamental role as by seasonal prevalence in various territories and locations

Sometimes –as in November-the Genoa gulf is offended by extreme meteorological events ,testimonials of the frequent variability of Air Pressure conditions   between inlands and the open sea.

On this geographic  area and its climatology and meteorology , we have migration routes followed by woodpigeons at the end of their journey just before the final jump and arrivals to the wintering territories in France,Iberian peninsula,Corse and Sardinia,North Africa .These routes are enclosed in the main Mediterranean Flyway on the way from North-East /East Europe passing through Adriatic coast ,East Italy,and mostly through  Padania valley beneath Alpes chain :  it happens by variable stop-over timing.

 

 

 

 

 

 

 

The last main route on North Italy is from the flat Padania valley ( rich of agriculture-feeding-fields ) ,crossing Appenine mountains between Emilia and Liguria regions,arriving  at west in front of the Marittime Alps ,then crossing them or avoiding at south on the sea , continuing along mediterranean French coast.

An important south-branch route is on the East “door” of the Liguria gulf where after crossed first mountains and passes of Liguria Appennine ,many flocks fly south along the Tyrrenian coast to SanRossore pine-forest(Pise) and other Tuscany stop-over areas or directly to Baratti’s bay and Elba island or Argentario-Punta Ala ,crossing then the sea to Corse (France) and Sardinia big islands.All the Tuscany Achipelago area is crucial to overcome open sea to west /south-west as by data in the paper of Denis Bianchi https://journal.ilcolombaccio.it/migration-du-pigeon-ramier-depuis-le-delta-du-po-jusqua-la-corse-escale-et-hivernage-au-bois-de-mesola-annee-2019-2020/ .   

All the area are subjected to sudden movements of air sacs in atmosphere as by complex meteorological maps of the Region( https://www.tandfonline.com/doi/pdf/10.1080/17445647.2012.703901  ).                                                               

                                                                             ***      ***     ***

We’ll try  to  expose our “reading” of “Liguria” migration’s  air paths by a scientific (Citizen Science) lingo and method , but we must underline that the best knowledge of the various migration’s movements is prerogative of local hunters ,valley by valley,mountain by mountain,village by village.They say that the variables of the migration’s patterns are many,incostant,impredictable through soft or strong winds on the valleys and green canyons,where the flocks choise offhanded fly-routes and altimetric air-corridors  .

If the most important records are connected with flocks started from Padania valley and Adriatic coast flying at low or medium heights over the grounds , many times the hunters observe –only by binoculars – many big flocks at very high atmospheric corridors ( 800-1500 m ) : these flocks very probably- specially during “furor” waves- arrive directly –starting at night or very early hours of the day – from long distance East Europe mass take-offs’ sites .

On the base of so complex local (Liguria) migration’s patterns on the recording sites (nine), we can only present some –also unusual- models of investigation on the relationships between flight-dynamics and meteorological factors. 

We are well conscious that the present our preliminary report (Citizen Science) will need criticism,revisions and better statistical processing ,approches,algoritmic methods by official scientific Researchers and Institutions ,if available to analyze these problems. We ( Citizen science) need help of statistics’ ornithologists specialists :

 

MATERIALS and METHODS

Our materials (A) are extracted from the basic work MSM producted 2020  https://journal.ilcolombaccio.it/m-s-m-suivi-selectif-migration-etude-de-la-migration-post-nuptiale-2019-du-pigeon-ramier/  Author :Rinaldo Bucchi  where on 3 “combs” in Liguria as filters on nine migration’s routes crossing Italian peninsula, the total count of the monitored woodpigeons –and related flight’s heights – is 168.090 recorded birds / total Italy MSM 751.600 . ( A )

Other data and informations arrived from “Forum” ( http://www.ilcolombaccio.it/bacheca/ ) and Regional contributes . 

Our focus was on three combs ( 1 EAST -1 CENTRAL- 1 WEST ) along 240 km of the Liguria-coast  and three stations for each “comb” have collected ( 1st October-15th November 2020) 168.090 woodpigeons wich represents 22,35 % of the total MSM ( differentiated peaks in MSM ) recorded in Italy as :

  • Liguria (East-Central-West ) 168.090
  • Emilia-Romagna  518.000
  • Marche 65.610

 

 

 

 

The counts of Flocks :

 

 

 

 

 

The total area Liguria was monitored by 9 stations as by represented area Latitudes-Longitudes between Long. 10,30 E – 7,30 E / Lat. 43,30 N – $5 N  , mostly focused between Long.10,30 E – 7,30 E / Lat.44 N – 44,30 N 

 

Stations located ( by Municipality-area ) as :

  • EAST  : Fosdinovo 44,07 North/10,01 East – Camogli 44,20 / 9.09 – Recco 44,21 / 9,08
  • CENTRAL : Genoa Coronata 44,43 / 8,88 – Pegli 44,42 / 8,80 – Albisola Marina 44,19 / 8,30
  • WEST: Noli 44,12 / 08,24 – Pietrabruna 43,88 / 7,90 – Garlenda 44,01 / 8,05

managed by Bruzzone Antonio,Bruzzone Sergio,Canepa Stefano,Capurro Mauro,Celsi Federico,Mamberto Nicolò,Meistro Marco,Pelazza Ivo,Quarantella Andrea ( alphabetical  list ). 

All the expert hunters have recorded and collected detailed data about the flight’s heights ( high,medium,low) of the observed flocks –day by day,hour by hour – on their note-books ,then revised in our analysis .

The hunters (nine) have recorded  ( 1st October-15th November ) 168.090 woodpigeons in 2057 flocks ( average 82 woodpigeons / 1 flock ) and the flight height was :

  • < 100 m.  : 744 flocks ( 36,17 %) for 69.097 birds
  • 100-300 m. : 733 flocks ( 35,63 %) for 50.446 birds 
  • > 300 m. :580 flocks ( 28,2 %) for 48.547 birds as by timetabled graphics

The flight-height data “Liguria” seem quite in contrast respect the data of transit in Central Italy as by https://journal.ilcolombaccio.it/woodpigeons-columba-palumbus-autumn-2018-migration-a-new-method-to-study-dynamic-patterns-along-a-single-crossing-route-in-central-italy-focus-on-flocking/   .

In this paper  ( monitored  607.749 woodpigeons in 5.805 flocks) the analysis of flight-altitude is related on a path from Adriatic coast to Tyrrenina coas along a single corridor of 300 Km (large 15-25 km) over hills and Appennine mountains  ( “continental” orography quite different respect the Liguria’s orography ) mostly dominated by stable Air Pressure isobares  : most important data extracted from this analysis ( Central Italy 2018) are as following 

  • flocking : the sizes of flocks changes during the fly crossing Central Italy in the corridor “Mesola forest – Elba island” as by a sequence fom average values of 306 birds (Mesola) to 46 ( Central Tuscany) and then 81 and finally 156 ( increasing 239%) in Elba island .
  • Height of flying: low 24,52% ,medium 26.66% ,high 51,87%
  • Meteo : all the peaks/waves are connected with jumps of Air Pressure more than 10 hPa.

It is evident the contrast high “ flight-height “average percentages between  Liguria  28,2 % –and Central Italy  51,87%- 

It confirms the complexity of the Liguria orography between inlands and sea where the migration developes itself mostly arriving from the flat Padania valley and then along the coastal borders . 

We must also consider that in 2018 the migratory season happened with a prevalent stable high A.P. all over Europe and Mediterranea area ,contrary of the season 2019 when the Air Pressure was unstable and weather’s conditions very variable ,also in Liguria during the season.

About the character of the size-flock during migration across Italy ( A ),specifically for 2019 a detailed analysis is reported in MSM 2020 (https://journal.ilcolombaccio.it/m-s-m-suivi-selectif-migration-etude-de-la-migration-post-nuptiale-2019-du-pigeon-ramier/, ) but we must underline again that  a depth detailed analysis on a specific migration corridor crossing Central Italy (2018) has been reported as by https://journal.ilcolombaccio.it/flocking-preliminary-report-on-the-autumn-migration-2018-in-italy/ : big flocks arrive after the crossing of Adriatic sea ,the size of the flocks reduces itself over the continental Italy , and is growing up again in front of the flight over Tyrrenian sea . The same happens along the secod route from Liguria “East door” until Elba island along Tuscany coasts , ready to continue flying over the sea to  Corse and Sardinia. Biggest flocks fly over the sea at higher flight’s height . 

                                                       ****                   ****                    ****                  ****

The related analysis(77) of meteorological factors and relationships with migration phenology concerns all the area crossed by two main migration paths ,as by preliminary discussion in present “Introduction” and related maps and complex orography  where         the winds can channel and force the flocks at various height .

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

The factor “winds” ( as force and direction) is most import factor as well known by all hunters , important to determine the flight’s height .( 3,6,7)

A schematic syntesis of the winds evolution over the migrations’routes is very difficult specially if considering the complex orography of the Liguria region as well represented in 3D Googlearth maps.Inside the single valleys or canyons or crests and passes of the mountains the normal or falling winds can change suddenly in direction and/or force influencing the flight decision making preferences of the birds during their journey .

However – as overview of prevalent winds – we have extracted the directions of winds as aforementioned above in present “Introduction” . Concerning our study ,transit area and related dates-timing and peaks , we have:

 

 

 

 

 

 

 

 

 

 

 

 

 

All these winds’data are extracted by detailed reports in Archives of
https://rp5.ru/Weather_archive_in……….._
 

selecting the prevalent winds in the first hours of every day .

What emerges ?

EAST area (between Padania valley and sea-coast ) : N-NE-E for 21 days / NE for 10 days/ SE for 12 days/no winds for 2 days

CENTRAL area : N-NE for 33 days / NW for 3 days / SE for 9 days

WEST area : NW 42 days /NE for 1 day/ SE for 2 days

It is evident that different local orographies (85) are basic for the prevalence of winds during the migratory season. All the peaks-days have prevalence of tail-winds from North (N-NE-NW ). A special mention must be done for the Gulf of Genoa (Central area) where the prevalence of North winds (36/45) is very evident , and for the “west exit-door” the North prevalence is NW 42/45 days and NE 1/45 . 

A part the local orography we must consider the isobaric & Air Pressure maps on larger European areas or total  Europe .Indeed , if the local movements are influenced by local meteo-orographic conditions ,these conditions are inside larger seasonal meteo-climatological-status of the atmosphere in Western Paleartic continental area . Consulting many Meteo-websites (10)we can take detailed knowledge on the isobaric general Map of Europe day by day .

 

 

 

 

 

 

Extracted from these general conditions and local meteo-data we know that altimetric air corridors –as “interactions between landscape and atmoshere” ( “dynamic flight habitat”) –(72,91)  are realized and  offer themselves to the flight choices of the birds (83) who utilize all the coordinated forces of their admirable sensitive-eco-system (PTO , mechanoreceptors, central nervous system).

Regarding the relationship between migration and Air Pressure changes , we have collected all the A.P. changes ( day by day  – East-Central-West ) between 24h before and the recording day , and marked peaks’dates. 

 

 

On the same investigative target we have collected the “Air Pressure tendency Index”  (APTI) (https://rp5.ru/weather_in_the_world),  as above along all the 45 days of the migration season and related peaks as by the graphics ( blue –East/ red-Central/green-West ——- black Average ).                                                                                                                         

                                                                                                                                                                                                                          

Most important aim of the present study is to identify possible correlations between flight-height of woodbigeons and meteorological factors –as above “winds”- remembering cited “dynamic flight habitat”.

The hunters-observers have signed every day the height of flocks monitored as low(< 100m)-medium ( 100-300m.) – high ( > 300 m.)  on the total numbers of birds and flocks . Here basic raw numbers total Liguria : 

The total results –all over Liguria- of “ heights’ monitoring” are represented as above by the following graphics 

and AIR PRESSURE TENDENCY index (Appendix -1- )

Legenda : it appears quite evident that we have some differences related the “AP tendency indexwich is higher(red line) in Central area ( open sea –Gulf) respect the other two areas (East- West )  particularly during the Peaks  as confirmed by the “changing AP 24h before the migration day monitored “ higher .

                                  Peaks  >                         ^                       ^                            ^                     ^

To better investigate the daily preferential height of the birds we have calculated every day – disrecpectful of numbers-values’ quantity of woodpigeons – the percentage of birds at high,medium,low height in the same day  . The “East,Central,West” transits are represented in the following graphics ,also considering the peaks’days more representative of the migration’s phenology of the day and local meteo-conditions .

EAST *V

 

 

 

 

 

 

 

 

 

 

 

 

 

CENTER *V

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

WEST *V

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

A syntesis of all these graphics – all these graphics are the results of long detailed collecting of data,numbers,percentages – a syntesis by uniform looks of confront appears really difficult in the field of Citizen Science where we have poor confidence with statistical methods .

We underline as above “We are well conscious that the present our preliminary report (Citizen Science) will need criticism,revisions and better statistical processing ,approches,algoritmic methods by official scientific Researchers and Institutions ,if available to analyze these problems. We ( Citizen science) need help of statistics’ ornithologists specialists”

However we see that higher flights’ heights are documented in some areas and waves/ peacks’timing when higher isobaric corridors run at more than 100 m. ,and when the Air Pressure is increasing and persists ,and when the “migration furor” is stronger well represented by big flocks in very high altitude ,and when Northern winds are prevalent .   

DISCUSSION

The above presentation of  “materials and methods” very probably could be read as a “dead letter” if projected to do answers as requested about “interactions between landscape and atmosphere “ at present time “ not well understood”. We tried to present “materials and methods” , as title of the present paper becouse we are not able to present much more that is in the traditional experience of hunters. 

Apart from the rigid reading of the recorded numbers ,it seems important considering the empirical portray of “Liguria transit” as by historical knowledge of some traditional hunters ( Walter Porcile in Forum https://www.ilcolombaccio.it/bacheca/index.php/topic,4223.0.html)

< The preferential routes are from East to West ( France coast ) ,but we must consider the populations entering on extreme East Riviera and preferring turning the direction to South  along Tyrrhenian coast until Elba area ,and from here crossing the sea  to Corse ( France) . It seems difficult to believe that also big flocks cross the open-sea directly to Corse ( Walter Porcile ) . On other hand many flocks arriving from Piacenza area ( Padania valley) ,depending on winds ,can cross the Gulf of Liguria directly to Caprazoppa Point – Alassio . Departing from Padania valley they have to choices ,influenced by winds/weather : crossing hills and  mountains of inlands through Val Trebbia or directly to Arenzano Varazze .Many flocks outflank the mountains of the Liguria inland until the barrier of Marittime Alps ,some flocks crossing them on the Cuneo area ,many flocks lowering close to the coast crossing the Melogno Pass or directly to Albenga and then following the coast until France coast .> 

The observations of many big flocks ( more than thousands of woodpigeons’ size) visible only by binoculars and the increasing populations crossing Liguria during the last 2-3 years , according with the observations on Tagliamento valley ( Friuli region at East ) ( personal  communication Piero Barbieri -2019 ) and according to the results of the investigation concerning the woodpigeons’ migration ( recent seasons) on the Polish Carpathians (  Rafael Bobrek, Tomasz Wilk, Aleksandra Pępkowska-Król  – Migration of the Woodpigeon Columba palumbus in the Polish Carpathians – migration parameters and birds’ selectivity for meteorological variables Ornis Polonica 2017, 58: 160–177 ) and according with the arrivals’census in Mesola forest area ( Denis Bianchi  2020 ) , all these factors leave to speculate that during last 3-4 years many northern populations ( North East Russia ,Belarus,Baltic Countties) have abandoned the Central Europe Flyway ( north of Alps Mountains ) preferring to alight at South on the Mediterranean Flyway through the Morava Port ( Sudeti mountains- Polish Carpathians )  . The observations  ,specially during peaks/waves , of many big flocks at very high altitudes ( High Pressure altimetric corridors) could be explained by very long distance take-offs of populations flying over Padania valley in a single step ,directly overcoming the Gulf of Liguria . This item is an acceptable  hypothesis to be confirmed , probably only by satellite monitoring . 

Concerning  the numbers of woodpigeons crossing Liguria – as for all Italian peninsula- are growing in order 200-300% during last 3 seasons : the local observations can differ very much between themselves depending on weather and winds’ condition.

As a first step of our investigation we have focused the study on a difficult geographic area characterized by a complex orography that influences drammatically the variables of air corridors useful to optimize the flight’s height to save energies .

        http://rbt.cse.tamu.edu/bird_detection/

Concluding  ,some elements can be underlined : 

  • All our data confirm that the main behaviour’s character of Columba palumbus is the flexibilty (224),wich is very probably the best weapon  to defend the optimal excellent status of the species in Western Paleartic –Europe

We have underlined the special characteristic of Orographic factors present on the Liguria Region , so much rich of variables able to influence strongly the local ,and also detailed local atmospheric conditions where the Woodpigeons’ flocks need to perform instant decision-making useful for the best altimetric corridors over the open sea or along the coasts or over the inlands hills and mountains or mostly Inside valleys and their changing of winds , all factors influencing their choices to continue to West along the French coasts and inlands or divert to South along the Tuscany coasts – until the Tuscany Archipelago ( isle of Elba) – before crossing the sea to West to Corse and Sardinia .

It seems to us that this crucial area ( Liguria Region) can be considered as a natural geographic transit “ laboratory” able to try the most important character of Columba palumbus Species : flexibility .

It seems to us that our results are according with the deep sense of analysis ,very recently ( Front. Ecol. Evol., 26 March 2020 | https://doi.org/10.3389/fevo.2020.00078) reported in a Review Artcle ( Endogenous Programs and Flexibility in Bird Migration by Susanne Åkesson and Barbara Helm) .Some important concepts can be extracted from this Review Article ,all of them pertinent with many items of our study .

“….. Central questions in this research field are concerned with inheritance of migration programs, their integration of environmental cues, and their physiological and genetic mechanisms (van Noordwijk et al., 2006; Åkesson et al., 2017; Merlin and Liedvogel, 2019). Here, we review key insights, and apply them to address sources of variation in spatiotemporal migratory traits within and among individuals, as well as among populations. ……”

“….. , we still need to understand exactly how the endogenous migration program interacts with external information, and how birds keep track of space during long migrations throughout the annual cycle…………..

….. Variation within the population can reveal interesting characteristics, where interactions of the inherited migration phenotype with different environmental factors can lead to the evolution of diverse migration patterns. Phenotypic plasticity may for example lead to advancement of migration timing in response to environmental conditions, in particular in flock-migrating birds…….”

“ ………..Programmed Flexibility in Response to Environmental

Within the time window set by the program for migration, decisions about its implementation are sensitive to a range of environmental factors that determine successful migration . Departure time may be adjusted in response to level of fuel reserves, and relative to the expected onward migration route, including distance of barrier crossings (Müller et al., 2018). Responses to these environmental factors are partly inherited, and therefore, we here expand on their effects. We consider some other aspects of flexibility, for example learning, social behavior and responses to weather, to represent residual flexibility……”

“……For some aspects of migration, we begin to understand the birds’ flexibility on the basis of inherited reaction norms that provide solutions which were effective over evolutionary time. “ ( 224- Susanne Åkesson , Barbara Helm -2020 –https://doi.org/10.3389/fevo.2020.00078   )

  • Positive : the collecting ad registering methods to outline data, have been developed by particular accuracy.
  • Negative : our ( Citizen Science)  ability to develop right scientific statistical analysis is poor.
  • Evidence based analysis seemed almost representative about a right reading of many items,based also on  raw numbers.
  • It appears almost impressive the coincidence of the peaks’dates and the average line(black) of the Air Pressure jumps on the total area  as in

The growing up of the “A.P.tendency index” is significative of a trend of atmosphere’s conditions stabilized as high values and connected none or poor turbolences.

  • North and North East winds faciltate the arrivals and transits of flocks , and North West winds are prevalent at west area ( exit area ) close to the Marittime Alps at inland and to Gulf of the Lion (France) at the coasts .
  • The focused “area Liguria” is not an area where we can observe mass take-offs , but the not officially recorded evidence –in some peaks’ days – of big or very big flocks identified only by binoculars at very high altitude on the sea , is evidence of great populations flied from long-middle distances sites along the origins’ area ( K.Hobson -2009)

 

 

 

 

 

 

 

 

 

arriving and cotinuining  the migratory fly over the Gulf , specially during the days with stable high A.P. conditions.

  • In contrast of so many references concerning the relationships between migration behaviour and Air Pressure-meteo conditions , the item “ barometric/altimetric sense “ is  not or poorly developed and discussed.
  • Some Researchers have introducted the doubt that the study of flight’s height is not so important for the study of the migration phenology : it seems that so numerous specific  References collected in our Bibliography are a sufficient answer to this doubt.
  • The present research ( Liguria) can be considered preliminary, ready to be carried on the other MSM “ combs” in Central Italy .
  • Finally the key-consideration : if all these data are connected with a “barometric-altimetric” sense(AC,AE,AG) and related sensitive eco-system and supposed related anatomy ( Paratympanic Organ of Vitali ) , the challenge is in front of the Science to better investigate this sense. 

REFERENCES – BIBLIOGRAPHY –  WEB-BIBLIOGRAPHY 

( marked References for specific interest

1-Ainley DG, Porzig E, Zajanc D, Spear LB (2015) Seabird flight behavior and height in response to altered wind strength and direction. Marine Ornithol 43:25–36

2-Åkesson S, Weimerskirch H (2005) Albatross long distance navigation: comparing adults and juveniles. J.   Navigation 58:365–373. doi:10.1017/S0373463305003401

3-  Alerstam T (1979) Optimal use of wind by migrating birds: combined drift and  overcompensation. J Theor Biol 79:341–353. doi:10.1016/0022-5193(79)90351-5

4- Alerstam T (1990) Bird migration. Cambridge University Press, Cambridge

5- Alerstam T (2001) Detours in bird migration. J Theor Biol 209:319–331

6- Alerstam T (2011) Optimal bird migration revisited. J Ornithol 152:5–23. 7-

7- Alerstam T, Lindström A (1990) Optimal bird migration: the relative importance of time, energy, and safety. In:    Gwinner E (ed) Bird migration: physiology and ecophysiology. Springer, Berlin, pp 331–351

8- Allen PE, Goodrich LJ, Bildstein KL (1996) Within- and among-year effects of cold fronts on migrating raptors at Hawk Mountain, Pennsylvania, 1934-1991. Auk 113:329–338

9-Alves JA, Dias MP, Méndez V, Katrínardóttir B, Gunnarsson TG (2016) Very rapid long-distance sea crossing by  a migratory bird. Sci Rep. doi:10.1038/srep38154

10-American Meteorological Society (2016) Glossary of meteorology. http://glossary.ametsoc.org/wiki/Main_Page. Accessed 3 May 2017

11-Andueza M, Arizaga J, Belda EJ, Barba E (2013) The role of extrinsic and intrinsic factors on the departure decisions of a long-distance migratory passerine. Ardeola 60:59–72

12-Arizaga J, Belda EJ, Barba E (2011) Effect of fuel load, date, rain and wind on departure decisions of a migratory passerine. J Ornithol 152:991–999. doi:10.1007/s10336-011-0685-2

13-Bäckman J, Alerstam T (2003) Orientation scatter of free-flying nocturnal passerine migrants: components and causes. Anim Behav 65:987–996. doi:10.1006/anbe.2003.2119

14-Battley PF, Warnock N, Tibbitts TL, Gill RE, Piersma T, Hassell CJ, Douglas DC, Mulcahy DM, Gartrell BD, Schuckard R, Melville DS (2012) Contrasting extreme long-distance migration patterns in bar-tailed godwits Limosa lapponica. J Avian Biol 43:21–32. doi:10.1111/j.1600-048X.2011.05473.x

15-Bauer S, Hoye BJ (2014) Migratory animals couple biodiversity and ecosystem functioning worldwide. Science. doi:10.1126/science.1242552

16-Bauer S, Klaassen M (2013) Mechanistic models of animal migration behaviour—their diversity, structure and use. J Anim Ecol 82:498–508. doi:10.1111/1365-2656.12054

17-Berchtold A, Nightingale I, Vandermeer C, MacDougall-Shackleton Scott A (2017) Experimental temperature manipulations alter songbird autumnal nocturnal migratory restlessness. Anim Migr 4:1. doi:10.1515/ami-2017-0001

18-Beth P (1961) Weather and early spring migration in Iowa. Wilson Bull73:41–45

19-Bildstein KL, Zalles JI (2005) Old world versus new world long-distance migration in accipiters, buteos, and falcons. The interplay of migration ability and global biogeography. In: Greenberg R, Marra PP (eds) Birds of two worlds: the ecology and evolution of migration. Johns Hopkins University Press, Baltimore, pp 154–167

20-Bishop CM, Spivey RJ, Hawkes LA, Batbayar N, Chua B, Frappell PB, Milsom WK, Natsagdorj T, Newman SH, Scott GR, Takekawa JY, Wikelski M, Butler PJ (2015) The roller coaster flight strategy of bar-headed geese conserves energy during Himalayan migrations. Science 347:250–254

21-Bohrer G, Brandes D, Mandel JT, Bildstein KL, Miller TA, Lanzone M, Katzner T, Maisonneuve C, Tremblay JA (2012) Estimating updraft velocity components over large spatial scales: contrasting migration strategies of golden eagles and turkey vultures. Ecol Lett 15:96–103. doi:10.1111/j.1461-0248.2011.01713.x

22-Bowlin MS, Enstrom DA, Murphy BJ, Plaza E, Jurich P, Cochran J (2015) Unexplained altitude changes in a migrating thrush: long-flight altitude data from radio-telemetry. Auk 132:808–816. doi:10.1642/auk-15-33.1

22bis-Bradbury T (2000) Meteorology and Flight, 3rd edn. A and C Black, London

23-Bruderer B, Boldt A (2001) Flight characteristics of birds: I. radar measurements of speeds. Ibis 143:178–204

24-Bruderer B, Underhill LG, Liechti F (1995) Altitude choice by night migrants in a desert area predicted by meteorological factors. Ibis 137:44–55

25-Bucchi R.- (2018 – 2020 ) – Selective Migration Monitoring (MSM) of Woodpigeons migrated in  Italy   https://journal.ilcolombaccio.it/ijwr-vol-1-2018-papers-short-comunications/

26-Bulte M, McLaren JD, Bairlein F, Bouten W, Schmaljohann H, Shamoun-Baranes J (2014) Can wheatears weather the Atlantic? Modeling nonstop trans-Atlantic flights of a small migratory songbird. Auk 131:363–370. doi:10.1642/auk-13-233.1

27-Chapman JW, Klaassen RH, Drake VA, Fossette S, Hays GC, Metcalfe JD, Reynolds AM, Reynolds DR, Alerstam T (2011) Animal orientation strategies for movement in flows. Curr Biol 21:R861–R870

28-Chevallier D, Handrich Y, Georges JY, Baillon F, Brossault P, Aurouet A, Le Maho Y, Massemin S (2010) Influence of weather conditions on the flight of migrating black storks. Proc R Soc B Biol Sci 277:2755–2764. doi:10.1098/rspb.2010.0422

29-Conklin JR, Battley PF (2011) Impacts of wind on individual migration schedules of New Zealand bar-tailed godwits. Beh Ecol 22:854–861. 

30-Covino KM, Holberton RL, Morris SR (2015) Factors influencing migratory decisions made by songbirds on spring stopover. J Avian Biol 46:73–80. doi:10.1111/jav.00463

31-Cresswell W (2014) Migratory connectivity of Palaearctic-African migratory birds and their responses to environmental change: the serial residency hypothesis. Ibis 156:493–510. doi:10.1111/ibi.12168

32-Davy CM, Ford AT, Fraser KC (2017) Aeroconservation for the fragmented skies. Cons Lett. doi:10.1111/conl.12347

33-Deppe JL, Ward MP, Bolus RT, Diehl RH, Celis-Murillo A, Zenzal TJ, Moore FR, Benson TJ, Smolinsky JA, Schofield LN, Enstrom DA (2015) Fat, weather, and date affect migratory songbirds’ departure decisions, routes, and time it takes to cross the Gulf of Mexico. Proc Natl Acad Sci 112:E6331–E6338. doi:10.1073/pnas.1503381112

34-Dias MP, Granadeiro JP, Catry P (2013) Individual variability in the migratory path and stopovers of a long-distance pelagic migrant. Anim Behav 86:359–364. doi:10.1016/j.anbehav.2013.05.026

35-Diehl RH (2013) The airspace is habitat. Trends Ecol Evol 28:377–379. doi:10.1016/j.tree.2013.02.015

36-Diehl RH, Bates JM, Willard DE, Gnoske TP (2014) Bird mortality during nocturnal migration over Lake Michigan: a case study. Wilson J Ornithol 126:19–29

37-Dodge S, Bohrer G, Weinzierl R, Davidson SC, Kays R, Douglas D, Cruz S, Han J, Brandes D, Wikelski M (2013) The environmental-data automated track annotation (Env-DATA) system: linking animal tracks with environmental data. Movement Ecology 1:3

38-Dokter AM, Shamoun-Baranes J, Kemp MU, Tijm S, Holleman I (2013) High altitude bird migration at temperate latitudes: a synoptic perspective on wind assistance. PLoS One 8:e52300. doi:10.1371/journal.pone.0052300

39-Drake VA, Reynolds DR (2012) Radar entomolog: observing insect flight and migration. B. International, Oxfordshire

40-Drake A, Rock CA, Quinlan SP, Martin M, Green DJ (2014) Wind speed during migration influences the survival, timing of breeding, and productivity of a neotropical migrant, Setophaga petechia. PLOS One 9:e97152. doi:10.1371/journal.pone.0097152

41-Duerr AE, Miller TA, Lanzone M, Brandes D, Cooper J, O’Malley K, Maisonneuve C, Tremblay J, Katzner T (2012) Testing an emerging paradigm in migration ecology shows surprising differences in efficiency between flight modes. PLoS One 7:e35548

42-Duerr AE, Miller TA, Lanzone M, Brandes D, Cooper J, O’Malley K, Maisonneuve C, Tremblay JA, Katzner T (2015) Flight response of slope soaring birds to seasonal variation in thermal generation. Funct Ecol 29:779–790. doi:10.1111/1365-2435.12381

43-Egevang C, Stenhouse IJ, Phillips RA, Petersen A, Fox JW, Silk JRD (2010) Tracking of Arctic terns Sterna paradisaea reveals longest animal migration. Proc Natl Acad Sci 107:2078–2081. doi:10.1073/pnas.0909493107

44-Elkins N (2004) Weather and bird behaviour, 3rd edn. Poyser Monographs, London

45-Ellis KS, Jehl JR, Knight RN, Marvel KS, Larsen RT (2016) Spring downings clarify the migration biology of 

eared grebes (Podiceps nigricollis). Waterbirds 39:338–345. doi:10.1675/063.039.0403

46-Erni B, Liechti F, Underhill LG, Bruderer B (2002) Wind and rain govern the intensity of nocturnal bird migration in central Europe-a log-linear regression analysis. Ardea 90:155–166

47-Erni B, Liechti F, Bruderer B (2005) The role of wind in passerine autumn migration between Europe and Africa. Behav Ecol 16:732–740

48-Farnsworth A, Van Doren BM, Hochachka WM, Sheldon D, Winner K, Irvine J, Geevarghese J, Kelling S (2016) A characterization of autumn nocturnal migration detected by weather surveillance radars in the northeastern USA. Ecol Appl 26:752–770. doi:10.1890/15-0023

49- Fischer, J. & Lindenmayer, D. Landscape Modification and Habitat     Fragmentation: A. synthesis. Glob. Ecol. Biogeogr. 15, 55–66 (2003).

50-Felicísimo AM, Muñoz J, González-Solis J (2008) Ocean surface winds drive dynamics of transoceanic aerial movements. PLoS One 3:e2928. doi:10.1371/journal.pone.0002928

51-Ferguson AL, Ferguson HL (1922) The fall migration of Hawks as observed at Fishers Island, NY. Auk 39:488–496. doi:10.2307/4073571

52-Fox AD, Desholm M, Kahlert J, Christensen TK, Krag Petersen IB (2006) Information needs to support environmental impact assessment of the effects of European marine offshore wind farms on birds. Ibis 148:129–144. doi:10.1111/j.1474-919X.2006.00510.x

53-Garthe S, Hüppop O (2004) Scaling possible adverse effects of marine wind farms on seabirds: developing and applying a vulnerability index. J Appl Ecol 41:724–734

54-Gauthreaux SA (1971) A radar and direct visual study of passerine spring migration in Southern Louisiana. Auk 88:343–365

55-Gauthreaux SA, Michi J, Belser C (2005) The temporal and spatial structure of the atmosphere and its influence on bird migration strategies. Birds of two worlds: the ecology and evolution of migration. The John Hopkins University Press, Baltimore, p 182

56-Gauthreaux SA, Belser CG, Welch CM (2006) Atmospheric trajectories and spring bird migration across the Gulf of Mexico. J Ornithol 147:317–325. doi:10.1007/s10336-006-0063-7

57-Gill RE, Douglas DC, Handel CM, Tibbitts TL, Hufford G, Piersma T (2014) Hemispheric-scale wind selection facilitates bar-tailed godwit circum-migration of the Pacific. Anim Behav 90:117–130. doi:10.1016/j.anbehav.2014.01.020

58-González-Solís J, Felicísimo A, Fox JW, Afanasyev V, Kolbeinsson Y, Muñoz J (2009) Influence of sea surface winds on shearwater migration detours. Mar Ecol-Prog Ser 391:221–230. doi:10.3354/meps08128

59-Green M, Alerstam T (2002) The problem of estimating wind drift in migrating birds. J Theor Biol 218:485–496

60-Grönroos J, Green M, Alerstam T (2013) Orientation of shorebirds in relation to wind: both drift and compensation in the same region. J Ornithol 154:385–392. doi:10.1007/s10336-012-0902-7

61-Hake M, Kjellén N, Alerstam T (2003) Age-dependent migration strategy in honey buzzards Pernis apivorus tracked by satellite. Oikos 103:385–396

62-Harel R, Horvitz N, Nathan R (2016) Adult vultures outperform juveniles in challenging thermal soaring conditions. Sci Rep 6:27865. doi:10.1038/srep27865

63-Harrison XA, Blount JD, Inger R, Norris DR, Bearhop S (2011) Carry-over effects as drivers of fitness differences in animals. J Anim Ecol 80:4–18. doi:10.1111/j.1365-2656.2010.01740.x

64-Hawkes LA, Balachandran S, Batbayar N, Butler PJ, Chua B, Douglas DC, Frappell PB, Hou Y, Milsom WK, Newman SH, Prosser DJ (2013) The paradox of extreme high-altitude migration in bar-headed geese Anser indicus. Proc R Soc B Biol Sci. doi:10.1098/rspb.2012.2114

65-Hedenström A, Åkesson S (2017) Adaptive airspeed adjustment and compensation for wind drift in the common swift: differences between day and night. Anim Behav 127:117–123.doi:10.1016/j.anbehav.2017.03.010

66-Hedenström A, Norevik G, Warfvinge K, Andersson A, Bäckman J, Åkesson S (2016) Annual 10-month aerial life phase in the common swift Apus apus. Curr Biol 26:3066–3070. doi:10.1016/j.cub.2016.09.014

67-Horton KG, Van Doren BM, Stepanian PM, Hochachka WM, Farnsworth A, Kelly JF (2016a) Nocturnally migrating songbirds drift when they can and compensate when they must. Sci Rep. doi:10.1038/srep21249

68-Horton KG, Van Doren BM, Stepanian PM, Farnsworth A, Kelly JF (2016b) Where in the air?

 Aerial habitat use of nocturnally migrating birds. Biol Lett. doi:10.1098/rsbl.2016.0591

69-Horvitz N, Sapir N, Liechti F, Avissar R, Mahrer I, Nathan R (2014) The gliding speed of migrating birds: slow and safe or fast and risky? Ecol Lett 17:670–679. doi:10.1111/ele.12268

70-Hüppop O, Hüppop K (2003) North Atlantic Oscillation and timing of spring migration in birds. Proc R Soc B Biol Sci 270:233–240

71-Jenni L, Schaub M (2003) Behavioural and physiological reactions to environmental variation in bird migration: a review. In: Berthold P, Gwinner E, Sonnenschein E (eds) Avian Migration. Springer-Verlag, Berlin Heidelberg, pp 155–171

72-Kahlert J, Leito A, Laubek B, Luigujoe L, Kuresoo A, Aaen K, Lund A (2012) Factors affecting the flight altitude of migrating waterbirds in Western Estonia. Ornis Fennica 89:241–253

73-Karlsson H, Henningsson P, Bäckman J, Hedenström A, Alerstam T (2010) Compensation for wind drift by migrating swifts. Anim Behav 80:399–404

74-Katzner TE, Turk PJ, Duerr AE, Miller TA, Lanzone MJ, Cooper JL, Brandes D, Tremblay JA, Lemaître J (2015) Use of multiple modes of flight subsidy by a soaring terrestrial bird, the golden eagle Aquila chrysaetos, when on migration. J R Soc Interface. doi:10.1098/rsif.2015.0530

75-Kelly JF, Horton KG (2016) Toward a predictive macrosystems framework for migration ecology. Global Ecol Biogeogr 25:1159–1165. doi:10.1111/geb.12473

76-Kemp MU, Shamoun-Baranes J, Van Gasteren H, Bouten W, Van Loon EE (2010) Can wind help explain seasonal differences in avian migration speed? J Avian Biol 41:672–677. doi:10.1111/j.1600-048X.2010.05053.x

77-Kemp MU, van Loon EE, Shamoun-Baranes J, Bouten W (2012a) RNCEP: global weather and climate data at your fingertips. Methods Ecol Evol 3:65–70. doi:10.1111/j.2041-210X.2011.00138.x

78-Kemp MU, Shamoun-Baranes J, van Loon EE, McLaren JD, Dokter AM, Bouten W (2012b) Quantifying flow-assistance and implications for movement research. J Theor Biol 308:56–67

79-Kemp MU, Shamoun-Baranes J, Dokter AM, van Loon E, Bouten W (2013) The influence of weather on the flight altitude of nocturnal migrants in mid-latitudes. Ibis 155:734–749. doi:10.1111/ibi.12064

80-Kerlinger P (1989) Flight strategies of migrating hawks. The University of Chicago Press, Chicago

81-Kerlinger P, Gauthreaux SA Jr (1984) Flight behaviour of sharp-shinned hawks during migration. I: over land. Anim Behav 32:1021–1028. doi:10.1016/S0003-3472(84)80216-X

82-Klaassen M, Beekman JH, Kontiokorpi J, Mulder RJW, Nolet BA (2004) Migrating swans profit from favourable changes in wind conditions at low altitude. J Ornithol 145:142–151

83-Klaassen RH, Hake M, Strandberg R, Alerstam T (2010a) Geographical and temporal flexibility in the response to crosswinds by migrating raptors. Proc R Soc B Biol Sci 278:1339–1346

84-Klaassen RHG, Strandberg R, Hake M, Olofsson P, Tøttrup AP, Alerstam T (2010b) Loop migration in adult marsh harriers Circus aeruginosus, as revealed by satellite telemetry. J Avian Biol 41:200–207. doi:10.1111/j.1600-048X.2010.05058.x

85-Klaassen RHG, Hake M, Strandberg R, Alerstam T (2011) Geographical and temporal flexibility in the response to crosswinds by migrating raptors. Proc R Soc B-Biol Sci 278:1339–1346. doi:10.1098/rspb.2010.2106

86-Klaassen RHG, Schlaich AE, Bouten W, Koks BJ (2017) Migrating Montagu’s harriers frequently interrupt daily flights in both Europe and Africa. J Avian Biol 48:180–190. doi:10.1111/jav.01362

87-Knudsen E, Lindén A, Both C, Jonzén N, Pulido F, Saino N, Sutherland WJ, Bach LA, Coppack T, Ergon T, Gienapp P (2011) Challenging claims in the study of migratory birds and climate change. Biol Rev 86:928–946. doi:10.1111/j.1469-185X.2011.00179.x

88-Kokko H (1999) Competition for early arrival in migratory birds. J Anim Ecol 68:940–950. doi:10.2307/2647239

89-Kopp M, Peter HU, Mustafa O, Lisovski S, Ritz MS, Phillips RA, Hahn S (2011) South polar skuas from a single breeding population overwinter in different oceans though show similar migration patterns. Mar Ecol Prog Ser435:263–267

90-Kranstauber B, Weinzierl R, Wikelski M, Safi K (2015) Global aerial flyways allow efficient travelling. Ecol Lett 18:1338–1345. doi:10.1111/ele.12528

91-Krüger T, Garthe S (2001) Flight altitudes of coastal birds in relation to wind direction and speed. Atlantic Seabirds 3:203–216

92-La Sorte FA, Fink D (2017) Projected changes in prevailing winds for transatlantic migratory birds under global warming. J Anim Ecol 86:273–284. doi:10.1111/1365-2656.12624

93-La Sorte FA, Fink D, Hochachka WM, Farnsworth A, Rodewald AD, Rosenberg KV, Sullivan BL, Winkler DW, Wood C, Kelling S (2014) The role of atmospheric conditions in the seasonal dynamics of North American migration flyways. J Biogeogr 41:1685–1696. doi:10.1111/jbi.12328

94-La Sorte FA, Hochachka WM, Farnsworth A, Sheldon D, Fink D, Geevarghese J, Winner K, Van Doren BM, Kelling S (2015a) Migration timing and its determinants for nocturnal migratory birds during autumn migration. J Anim Ecol 84:1202–1212. doi:10.1111/1365-2656.12376

95-La Sorte FA, Hochachka WM, Farnsworth A, Sheldon D, Van Doren BM, Fink D, Kelling S (2015b) Seasonal changes in the altitudinal distribution of nocturnally migrating birds during autumn migration. R Soc Open Sci. doi:10.1098/rsos.150347

96-Lack D (1960a) The influence of weather on passerine migration. A review. Auk 77:171–209

97-Lack D (1960b) Migration across the North Sea studied by radar part 2. The spring departure 1956–59. Ibis 102:26–57. doi:10.1111/j.1474-919X.1960.tb05091.x

98-Lanzone MJ, Miller TA, Turk P, Brandes D, Halverson C, Maisonneuve C, Tremblay J, Cooper J, O’Malley K, Brooks RP, Katzner T (2012) Flight responses by a migratory soaring raptor to changing meteorological conditions. Biol Lett 8:710–713. doi:10.1098/rsbl.2012.0359

99-Lempidakis, E., Wilson, R. P., Luckman, A. & Metcalfe, R. S. What can knowledge of the energy landscape tell us about animal movement trajectories and space use? A case study with humans. J. Theor. Biol. 457, 101–111 (2018).

100-Leskinen M, Markkula I, Koistinen J, Pylkkö P, Ooperi S, Siljamo P, Ojanen H, Raiskio S, Tiilikkala K (2009) Pest insect immigration warning by an atmospheric dispersion model, weather radars and traps. J Appl Entomol 135:55–67. doi:10.1111/j.1439-0418.2009.01480.x

101-Leyrer J, Pruiksma S, Piersma T (2009) On 4 June 2008 Siberian red knots at Elbe Mouth kissed the canonical evening migration departure rule goodbye. Ardea 97:71–79. doi:10.5253/078.097.0109

102-Liechti F (2006) Birds: blowin’ by the wind? J Ornithol 147:202–211

103-Liechti F, Bruderer B (1998) The relevance of wind for optimal migration theory. J Avian Biol 29:561–568

104-Liechti F, Schaller E (1999) The use of low-level jets by migrating birds. Naturwissenschaften 86:549–551

105-Liechti F, Schmaljohann H (2007) Wind-governed flight altitudes of nocturnal spring migrants over the Sahara Ostrich. J Afr Ornithol 78:337–341

106-Liechti F, Hedenström A, Alerstam T (1994) Effects of sidewinds on optimal flight speed of birds. J Theor Biol 170:219–225

107-Liechti F, Klaassen M, Bruderer B (2000) Predicting migratory flight altitudes by physiological migration models. Auk 117:205–214

108-Liechti F, Witvliet W, Weber R, Bachler E (2013) First evidence of a 200-day non-stop flight in a bird. Nat Comm. doi:10.1038/ncomms3554

109-Liminana R, Romero M, Mellone U, Urios V (2013) Is there a different response to winds during migration between soaring and flapping raptors? An example with the Montagu’s harrier and the lesser kestrel. Behav Ecol Sociobiol 67:823–835. doi:10.1007/s00265-013-1506-9

110-Liu M, Swanson DL (2015) Stopover duration, movement patterns and temporary home ranges of fall migrant yellow-rumped warblers Setophaga coronata in native and anthropogenic woodlands of the Northern Prairie region, USA. J Avian Biol 46:452–461. doi:10.1111/jav.00672

111-Lok T, Overdijk O, Piersma T (2015) The cost of migration: spoonbills suffer higher mortality during trans-Saharan spring migrations only. Biol Lett. doi:10.1098/rsbl.2014.0944

112-Lowery GH (1945) Trans-Gulf spring migration of birds and the coastal hiatus. Wilson Bull 57:92–121

113-Lutgens FK, Tarbuck EJ (2010) The atmosphere: an introduction to meteorology, 11th edn.Prentice Hall, New Jersey

114-Ma Z, Hua N, Zhang X, Guo H, Zhao BI, Ma Q, Xue W, Tang C (2011) Wind conditions affect stopover decisions and fuel stores of shorebirds migrating through the south Yellow Sea. Ibis 153:755–767. doi:10.1111/j.1474-919X.2011.01164.x

115-Mackintosh DR (1949) The use of thermal currents by birds on migration. Ibis 91:55–59. doi:10.1111/j.1474-919X.1949.tb02235.x

116-Mandel JT, Bildstein KL, Bohrer G, Winkler DW (2008) Movement ecology of migration in turkey vultures. Proc Natl Acad Sci 105:19102–19107. doi:10.1073/pnas.0801789105

117-Mandel, J. T. et al. Migration path annotation: Cross-continental study of migration-flight response to environmental conditions. Ecol. Appl. 21, 2258–2268 (2011).

118-Mann, R. P. et al. Landscape complexity influences route-memory formation in navigating pigeons. Biol. Lett. 10, 20130885–20130885 (2014).

120-Maransky B, Goodrich L, Bildstein K (1997) Seasonal shifts in the effects of weather on the visible migration of Red-tailed Hawks at Hawk Mountain, Pennsylvania, 1992–1994. Wilson Bull 109:246–252

121-Marra PP, Cohen EB, Loss SR, Rutter JE, Tonra CM (2015) A call for full annual cycle research in animal ecology. Biol Lett. doi:10.1098/rsbl.2015.0552

122-Mateos-Rodríguez M, Bruderer B (2012) Flight speeds of migrating seabirds in the Strait of Gibraltar and their relation to wind. J Ornithol 153:881–889. doi:10.1007/s10336-012-0814-6

123-Mateos-Rodríguez M, Liechti F (2012) How do diurnal long-distance migrants select flight altitude in relation to wind? Behav Ecol 23:403–409. doi:10.1093/beheco/arr204

124-McLaren JD, Shamoun-Baranes J, Bouten W (2012) Wind selectivity and partial compensation for wind drift among nocturnally migrating passerines. Behav Ecol 23:1089–1101. doi:10.1093/beheco/ars078

125-McLaren JD, Shamoun-Baranes J, Dokter AM, Klaassen RHG, Bouten W (2014) Optimal orientation in flows: providing a benchmark for animal movement strategies. J R Soc Interface 11:20140588. doi:10.1098/rsif.2014.0588

116-McLaren JD, Shamoun-Baranes J, Camphuysen CJ, Bouten W (2016) Directed flight and optimal airspeeds: homeward-bound gulls react flexibly to wind yet fly slower than predicted. J Avian Biol 47:476–490. doi:10.1111/jav.00828

117-Mellone U, Lopez-Lopez P, Liminana R, Urios V (2011) Weather conditions promote route flexibility during open ocean crossing in a long-distance migratory raptor. Int J Biometeorol 55:463–468. doi:10.1007/s00484-010-0368-3

118-Mellone U, Klaassen RH, García-Ripollés C, Limiñana R, López-López P, Pavón D, Strandberg R, Urios V, Vardakis M, Alerstam T (2012) Interspecific comparison of the performance of soaring migrants in relation to morphology, meteorological conditions and migration strategies. Plos One 7:e39833. doi:10.1371/journal.pone.0039833

119-Mellone U, De La Puente J, Lopez-Lopez P, Liminana R, Bermejo A, Urios V (2015) Seasonal differences in migration patterns of a soaring bird in relation to environmental conditions: a multi-scale approach. Behav Ecol Sociobiol 69:75–82. doi:10.1007/s00265-014-1818-4

120-Mery F, Burns JG (2010) Behavioural plasticity: an interaction between evolution and experience. Evol Ecol 24:571–583. doi:10.1007/s10682-009-9336-y

121-Metcalfe J. and co-Auth.(2013) -White-throated sparrows adjust behaviour in response to manipulations of barometric pressure and temperature-Animal Behaviour 86(6):1285–1290 · December 2013

122-Meyburg BU, Paillat P, Meyburg C (2003) Migration routes of Steppe Eagles between Asia and Africa: a study by means of satellite telemetry. Condor 105:219–227

123-Meyer SK, Spaar R, Bruderer B (2000) To cross the sea or to follow the coast? Flight directions and behaviour of migrating raptors approaching the Mediterranean Sea in autumn. Behaviour 137:379–399

124-Miller TA, Brooks RP, Lanzone MJ, Brandes D, Cooper J, Tremblay JA, Wilhelm J, Duerr A, Katzner TE (2016) Limitations and mechanisms influencing the migratory performance of soaring birds. Ibis 158:116–134.doi:10.1111/ibi.12331

125-Moreau RE (1972) Palaearctic African bird migration systems. Academic Press, London and New York

126-Mueller T, O’Hara RB, Converse SJ, Urbanek RP, Fagan WF (2013) Social learning of migratory performance. Science 341:999–1002. doi:10.1126/science.1237139

127-Nathan R, Getz WM, Revilla E, Holyoak M, Kadmon R, Saltz D, Smouse PE (2008) A movement ecology paradigm for unifying organismal movement research. Proc Natl Acad Sci 105:19052–19059. doi:10.1073/pnas.0800375105

128-Newton I (2006) Can conditions experienced during migration limit the population levels of birds? J Ornithol 147:146–166. doi:10.1007/s10336-006-0058-4

129-Newton I (2007) Weather-related mass-mortality events in migrants. Ibis 149:453–467. doi:10.1111/j.1474-919X.2007.00704.x

130-Newton, I. The Migration Ecology of Birds. (Academic Press, 2007). *****

131-Nisbet ICT, Drury WH Jr (1968) Short-term effects of weather on bird migration: a field study using multivariate statistics. Anim Behav 16:496–530. doi:10.1016/0003-3472(68)90046-8

132-Norberg UM (1990) Vertebrate flight: mechanics, physiology, morphology, ecology and evolution, vol 27. Springer-Verlag, Berlin, Zoophysiology

133-Nourani E, Yamaguchi NM (2017) The effects of atmospheric currents on the migratory behavior of soaring birds: A review. Ornithol Sci 16:5–15. doi:10.2326/osj.16.5

134-Nourani E, Yamaguchi NM, Manda A, Higuchi H (2016) Wind conditions facilitate the seasonal water-crossing behaviour of Oriental Honey-buzzards Pernis ptilorhynchus over the East China Sea. Ibis 158:506–518. doi:10.1111/ibi.12383

135-Overdijk O, Navedo JG (2012) A massive spoonbill stopover episode: identifying emergency sites for the conservation of migratory waterbird populations. Aquat Conserv 22:695–703. doi:10.1002/aqc.2275

136-Panuccio M, Duchi A, Lucia G, Agostini N (2017) Species-specific behaviour of raptors migrating across the Turkish Straits in relation to weather and geography. Ardeola 64(2):305–324. doi:10.13157/arla.64.2.2017.ra2

137-Pennycuick CJ (2003) The concept of energy height in animal locomotion: separating mechanics from physiology. J Theor Biol 224:189–203

138-Pennycuick CJ (2008) Modelling the flying bird. Elsevier, Boston

139-Pennycuick CJ, Battley PF (2003) Burning the engine: a time-marching computation of fat and protein consumption in a 5420-km non-stop flight by great knots. Calidris tenuirostris Oikos 103:323–332. doi:10.1034/j.1600-0706.2003.12124.x

140-Richardson WJ (1978) Timing and amount of bird migration in relation to weather: a Review. Oikos 30:224–272

141-Richardson WJ (1990a) Timing of bird migration in relation to weather: updated review. In: Gwinner E (ed) bird migration. Springer-Verlag, Berlin, pp 78–101

142-Richardson WJ (1990b) Wind and orientation of migrating birds: a review. Experientia 46:416–425

143-Richardson PL (2011) How do albatrosses fly around the world without flapping their wings? Prog Oceanogr 88:46–58. doi:10.1016/j.pocean.2010.08.001

144-Ross-Smith VH, Thaxter CB, Masden EA, Shamoun-Baranes J, Burton NH, Wright LJ, Rehfisch MM, Johnston A (2016) Modelling flight heights of lesser black-backed gulls and great skuas from GPS: a Bayesian approach. J Appl Ecol 53:1676–1685. doi:10.1111/1365-2664.12760

145-Rotics S, Kaatz M, Resheff YS, Turjeman SF, Zurell D, Sapir N, Eggers U, Flack A, Fiedler W, Jeltsch F, Wikelski M (2016) The challenges of the first migration: movement and behavior of juvenile versus adult white storks with insights regarding juvenile mortality. J Anim Ecol 85:938–947. 

146-Rus AI, Duerr AE, Miller TA, Belthoff JR, Katzner TE (2017) Counterintuitive roles of experience and weather on migratory performance. Auk 134:485–497. doi:10.1642/AUK-16-147.1

147-Sachs G, Traugott J, Nesterova AP, Bonadonna F (2013) Experimental verification of dynamic soaring in albatrosses. J Exp Biol 216:4222–4232. doi:10.1242/jeb.085209

148-Sapir N, Wikelski M, McCue MD, Pinshow B, Nathan R (2010) Flight modes in migrating European beeeaters: heart rate may indicate low metabolic rate during soaring and gliding. PLoS One 5:e13956

149-Sapir N, Horvitz N, Wikelski M, Avissar R, Mahrer Y, Nathan R (2011a) Migration by soaring or flapping: numerical atmospheric simulations reveal that turbulence kinetic energy dictates bee-eater flight mode. Proc R Soc B Biol Sci 278:3380–3386. doi:10.1098/rspb.2011.0358

150-Sapir N, Wikelski M, Avissar R, Nathan R (2011b) Timing and flight mode of departure in migrating European bee-eaters in relation to multi-scale meteorological processes. Behav Ecol Sociobiol 65:1353–1365. doi:10.1007/s00265-011-1146-x

151-Sapir N, Horvitz N, Wikelski M, Avissar R, Nathan R (2014) Compensation for lateral drift due to crosswind in migrating European Bee-eaters. J Ornithol 155:745–753. doi:10.1007/s10336-014-1060-x

152-Schaub M, Liechti F, Jenni L (2004) Departure of migrating European robins, Erithacus rubecula, from a stopover site in relation to wind and rain. Anim Behav 67:229–237

153-Schmaljohann H, Liechti F (2009) Adjustments of wingbeat frequency and air speed to air density in free-flying migratory birds. J Exp Biol 212:3633–3642. doi:10.1242/jeb.031435

154-Schmaljohann H, Liechti F, Bruderer B (2009) Trans-Sahara migrants select flight altitudes to minimize energy costs rather than water loss. Behav Ecol Sociobiol 63:1609–1619

155-Schmaljohann H, Becker P, Karaardic H, Liechti F, Naef-Daenzer B, Grande C (2011) Nocturnal exploratory flights, departure time, and direction in a migratory songbird. J Ornithol 152:439–452. doi:10.1007/s10336-010-0604-y

156-Schmaljohann H, Lisovski S, Bairlein F (2017) Flexible reaction norms to environmental variables along the migration route and the significance of stopover duration for total speed of migration in a songbird migrant. Front Zool 14:17. doi:10.1186/s12983-017-0203-3

157-Schoener TW (2011) The newest synthesis: understanding the interplay of evolutionary and ecological dynamics. Science 331:426–429. doi:10.1126/science.1193954

        158- Seinfeld JH, Pandis SN (2016) Atmospheric chemistry and physics: from air    pollution to climate change,

         3rd   edn-Wiley, Hoboken

159-Senner NR, Verhoeven MA, Abad-Gómez JM, Gutierrez JS, Hooijmeijer JC, Kentie R, Masero JA, Tibbitts TL, Piersma T (2015a) When Siberia came to the Netherlands: the response of continental black-tailed godwits to a rare spring weather event. J Anim Ecol 84:1164–1176. doi:10.1111/1365-2656.12381

160-Senner NR, Conklin JR, Piersma T (2015b) An ontogenetic perspective on individual differences. Proc R Soc B 282:20151050. doi:10.1098/rspb.2015.1050

161-Sergio F, Tanferna A, De Stephanis R, Jiménez LL, Blas J, Tavecchia G, Preatoni D, Hiraldo F (2014) Individual improvements and selective mortality shape lifelong migratory performance. Nature 515:410–413. doi:10.1038/nature13696

162-Shaffer SA, Tremblay Y, Weimerskirch H, Scott D, Thompson DR, Sagar PM, Moller H, Taylor GA, Foley DG, Block BA, Costa DP (2006) Migratory shearwaters integrate oceanic resources across the Pacific Ocean in an endless summer. P Natl Acad Sci USA 103:12799–12802

163-Shamoun-Baranes J, van Gasteren H (2011) Atmospheric conditions facilitate mass migration events across the North Sea. Anim Behav 81:691–704. doi:10.1016/j.anbehav.2011.01.003

164-Shamoun-Baranes J, Leshem Y, Yom-Tov Y, Liechti O (2003b) Differential use of thermal convection by soaring -birds over central Israel. Condor 105:208–218

165-Shamoun-Baranes, J., Liechti, F. & Vansteelant, W.M.G. Atmospheric conditions create freeways, detours and tailbacks for migrating birds. J Comp Physiol A 203, 509–529 (2017). https://doi.org/10.1007/s00359-017-1181-9

166-Shamoun-Baranes J, van Loon E, Alon D, Alpert P, Yom-Tov Y, Leshem Y (2006) Is there a connection between weather at departure sites, onset of migration and timing of soaring-bird autumn migration in Israel? Global Ecol Biogeogr 15:541–552. doi:10.1111/j.1466-822x.2006.00261.x

167-Shamoun-Baranes J, van Loon E, Liechti F, Bouten W (2007) Analyzing the effect of wind on flight: pitfalls and solutions. J Exp Biol 210:82–90. doi:10.1242/jeb.02612

168-Shamoun-Baranes J, Bouten W, Buurma L, DeFusco R, Dekker A, Sierdsema H, Sluiter F, Belle JV, Gasteren HV, Loon EV (2008) Avian information systems: Developing web-based Bird Avoidance Models. Ecol and Soc13:38

169-Shamoun-Baranes J, Bouten W, van Loon EE (2010a) Integrating meteorology into research on migration. Integr Comp Biol 50:280–292. doi:10.1093/icb/icq011

170-Shamoun-Baranes J, Leyrer J, van Loon E, Bocher P, Robin F, Meunier F, Piersma T (2010b) Stochastic atmospheric assistance and the use of emergency staging sites by migrants. Proc R Soc B Biol Sci 277:1505–1511. doi:10.1098/rspb.2009.2112

171-Shamoun-Baranes J, Alves JA, Bauer S, Dokter AM, Hüppop O, Koistinen J, Leijnse H, Liechti F, van Gasteren H, Chapman JW (2014) Continental-scale radar monitoring of the aerial movements of animals Movement. Ecology 2:9. doi:10.1186/2051-3933-2-9

172-Shamoun-Baranes J, Bouten W, van Loon EE, Meijer C, Camphuysen CJ (2016a) Flap or soar? How a flight generalist responds to its aerial environment. Phil Trans R Soc B Biol Sci. doi:10.1098/rstb.2015.0395

173-Shamoun-Baranes J, Farnsworth A, Aelterman B, Alves JA, Azijn K, Bernstein G, Branco S, Desmet P, Dokter AM, Horton K, Kelling S (2016b) Innovative visualizations shed light on avian nocturnal migration. PLoS One 11:e0160106. doi:10.1371/journal.pone.0160106

174-Shamoun-Baranes J, Liechti F, Vansteelant WMG (2017) Data from: atmospheric conditions create freeways, detours and tailbacks for migrating birds. Dryad data repository. doi:10.5061/dryad.1c394

175-Shamoun-Baranes, J., Bouten, W., van Loon, E. E., Meijer, C. & Camphuysen, C. J. Flap or soar? How a flight generalist responds to its aerial environment. Philos. 1329 (2013).

176-Shannon HD, Young GS, Yates MA, Fuller MR, Seegar WS (2002) American White Pelican soaring flight times and altitudes relative to changes in thermal depth and intensity. Condor 104:679–683

178-Sherub S, Bohrer G, Wikelski M, Weinzierl R (2016) Behavioural adaptations to flight into thin air. Biol Lett. doi:10.1098/rsbl.2016.0432

179-Sih A, Bell A, Johnson JC (2004) Behavioral syndromes: an ecological and evolutionary overview. Trends Ecol Evol 19:372–378. doi:10.1016/j.tree.2004.04.009

180-Smith F (1917) The correlation between the migratory flights of birds and certain accompanying meteorlogical conditions. Wilson Bull 29:32–35

181-Spaar R (1997) Flight strategies of migrating raptors; a comparative study of interspecific variation in flight characteristics. Ibis 139:523–535

182-Spaar R, Bruderer B (1996) Soaring migration of Steppe Eagles Aquila nipalensis in southern Israel: flight behaviour under various wind and thermal conditions. J Avian Biol 27:289–301

183-Spaar R, Bruderer B (1997) Migration by flapping or soaring: flight strategies of Marsh, Montagu’s and Pallid Harriers in southern Israel. Condor 99:458–469

184-Stark H, Liechti F (1993) Do Levant Sparrowhawks Accipiter brevipes also migrate at night. Ibis 135:233–236

185-Stoddard PK, Marsden JE, Williams TC (1983) Computer simulation of autumnal bird migration over the western North Atlantic. Anim Behav 31:173–180

186-Strandberg R, Klaassen RHG, Hake M, Alerstam T (2010) How hazardous is the Sahara Desert crossing for migratory birds? Indications from satellite tracking of raptors. Biol Lett 6:297–300. doi:10.1098/rsbl.2009.0785

187-Stull RB (1988) An introduction to boundary layer meteorology. Kluwer Academic Publishers, Dordrecht

188-Suryan RM, Anderson DJ, Shaffer SA, Roby DD, Tremblay Y, Costa DP, Sievert PR, Sato F, Ozaki K, Balogh GR, Nakamura N (2008) Wind, waves, and wing loading: morphological specialization may limit range expansion of endangered albatrosses. PLoS One 3:e4016. doi:10.1371/journal.pone.0004016

189-Thorup K, Alerstam T, Hake M, Kjellen N (2003) Bird orientation:compensation for wind drift in migrating raptors is age dependent. Biol Lett 270:8–11

190-Thorup K, Alerstam T, Hake M, Kjellen N (2006) Traveling or stopping of migrating birds in relation to wind: an illustration for the osprey. Behav Ecol 17:497–502. doi:10.1093/beheco/arj054

191-Tøttrup AP, Klaassen RH, Strandberg R, Thorup K, Kristensen MW, Jørgensen PS, Fox J, Afanasyev V, Rahbek C, Alerstam T (2012) The annual cycle of a trans-equatorial Eurasian-African passerine migrant: different spatio-temporal strategies for autumn and spring migration. Proc R Soc B Biol Sci 279:1008–1016.doi:10.1098/rspb.2011.1323

192-Treep J, Bohrer G, Shamoun-Baranes J, Duriez O, Frasson RPdM, Bouten W (2016) Using high-resolution GPS tracking data of bird flight for meteorological observations. B Am Meteorol Soc 97:951–961. doi:10.1175/BAMS-D-14-00234.1

193-Tsvey A, Bulyuk VN, Kosarev V (2007) Influence of body condition and weather on departures of first-year European robins, Erithacus rubecula, from an autumn migratory stopover site. Behav Ecol Sociobiol 61:1665–1674. doi:10.1007/s00265-007-0397-z

194-Usui T, Butchart SHM, Phillimore AB (2017) Temporal shifts and temperature sensitivity of avian spring migratory phenology: a phylogenetic meta-analysis. J Anim Ecol 86:250–261. doi:10.1111/1365-2656.12612

195-van Belle J, Shamoun-Baranes J, van Loon E, Bouten W (2007) An operational model predicting autumn bird migration intensities for flight safety. J Appl Ecol 44:864–874. doi:10.1111/j.1365-2664.2007.01322.x

196-Van Doren BM, Horton KG, Stepanian PM, Mizrahi DS, Farnsworth A (2016) Wind drift explains the reoriented morning flights of songbirds. Behav Ecol 27:1122–1131. doi:10.1093/beheco/arw021

197-Vansteelant WMG, Verhelst B, Shamoun-Baranes J, Bouten W, van Loon EE, Bildstein KL (2014) Effect of wind, thermal convection, and variation in flight strategies on the daily rhythm and flight paths of migrating raptors at Georgia’s Black Sea coast. J Field Ornithol 85:40–55. doi:10.1111/jofo.12048

198-Vansteelant WM, Bouten W, Klaassen RH, Koks BJ, Schlaich AE, van Diermen J, van Loon EE, Shamoun-Baranes J (2015) Regional and seasonal flight speeds of soaring migrants and the role of weather conditions at hourly and daily scales. J Avian Biol 46:25–39. doi:10.1111/jav.00457

199-Vansteelant WMG, Shamoun-Baranes J, McLaren JD, van Diermen J, Bouten W (2017a) Soaring across continents: decision-making of a soaring migrant under changing atmospheric conditions along an entire flyway. J Avian Biol. doi:10.1111/jav.01298

200-Vansteelant WMG, Shamoun-Baranes J, van Manen W, van Diermen J, Bouten W (2017b) Seasonal detours by soaring migrants shaped by wind regimes along the East Atlantic Flyway. J Anim Ecol 86:179–191. doi:10.1111/1365-2656.12593

201-Vidal-Mateo J, Mellone U, Lopez-Lopez P, De la Puente J, Garcia-Ripolles C, Bermejo A, Urios V (2016) Wind effects on the migration routes of trans-Saharan soaring raptors: geographical, seasonal, and interspecific variation. Curr Zool 62:89–97. doi:10.1093/cz/zow008

202-Vrugt JA, van Belle J, Bouten W (2007) Pareto front analysis of flight time and energy use in long-distance bird migration. J Avian Biol 38:432–442. doi:10.1111/j.2007.0908-8857.03909.x

203-Wainwright CE, Stepanian PM, Horton KG (2016) The role of the US Great Plains low-level jet in nocturnal migrant behavior. Int J Biometeorol. doi:10.1007/s00484-016-1144-9

204-Weber TP, Hedenström A (2000) Optimal stopover decisions under wind influence: the effects of correlated winds. J Theor Biol 205:95–104

205-Weimerskirch H, Louzao M, de Grissac S, Delord K (2012) Changes in wind pattern alter albatross distribution and life-history traits. Science 335:211–214. doi:10.1126/science.1210270

206-Weimerskirch H, Bishop C, Jeanniard-du-Dot T, Prudor A, Sachs G (2016) Frigate birds track atmospheric conditions over months-long transoceanic flights. Science 353:74–78. doi:10.1126/science.aaf4374

207-Weinzierl R, Bohrer G, Kranstauber B, Fiedler W, Wikelski M, Flack A (2016) Wind estimation based on thermal soaring of birds. Ecol Evol:n/a-n/a. doi:10.1002/ece3.2585

208-Woodcock AH (1940) Convection and soaring over the open sea. J Mar Res 3:248–253

209-Woodworth BK, Mitchell GW, Norris DR, Francis CM, Taylor PD (2015) Patterns and correlates of songbird movements at an ecological barrier during autumn migration assessed using landscape- and regional-scale automated radiotelemetry. Ibis 157:326–339. doi:10.1111/ibi.12228

210-Yamaguchi NM, Arisawa Y, Shimada Y, Higuchi H (2012) Real-time weather analysis reveals the adaptability of direct sea-crossing by raptors. J Ethol 30:1–10. doi:10.1007/s10164-011-0301-1

211- Yonehara Y, Goto Y, Yoda K, Watanuki Y, Young LC, Weimerskirch H, Bost CA, Sato K (2016) Flight paths of seabirds soaring over the ocean surface enable measurement of fine-scale wind speed and direction. Proc Natl Acad Sci 113:9039–9044. doi:10.1073/pnas.1523853113

Updating specific  REFERENCES

212-Meier C.M. & co-Auth. (2018) What makes Alpine swift ascend  at twilight ? Novel geolocators reveal yearround flight behaviour . Behav.Ecology Sociobiol.(2018) 72:45 – related bibliography

213- Shamoun-Baranes, J., Liechti, F. & Vansteelant, W.M.G. (2017)  Atmospheric conditions create freeways, detours and tailbacks for migrating birds. J Comp Physiol A 203, 509–529 (2017). https://doi.org/10.1007/s00359-017-1181-9 – related bibliography

214Alerstam T.,Ulfstrand S. (1974) A radar study of the autumn migration of woodpigeons Columba palumbus  in southern Scandinavia  – IBIS  116.522-542 

215- Altshuler D.L. & co-Auth- (2015) The biophysics of bird flight : functional relationships integrate aerodynamics,morphology,kinematics,muscles,and sensors- Can.J.Zool. (2015)vol.93:961-975

216- Bagg A.M & co-Auth. ( 1950) Barometric pressure-patterns and Spring migration . Wilson Bull.(1950)vol.62.1 : 5 19

217- Becciu P. & co-Auth. ( 2019) Enviromental effects on flying migrants revealed by radar . Ecography (2019)42:1-14

218- Blomkvist O. & co-Auth. ( 2012 ) Mathematical modeling of flocking behaviour  Royal Institute Technology – Bachelor Yhesis  SA104X –SA108X- May 25,2012 pgg 1-51

219- Breuner C.W. & co-Auth. (2013) Environment,Behavior anPhysiology : do birds use Barometric Pressure ti predict storms ? Biol.Science Faculty Pub. Univ. Of Montana 6-1-2013 /pgg. 1982-1990 J. Exp.Biol.

220– Brown R.E.,Fedde M.R. (1993) Airflow sensors in the avian wing. J.Ex.Biol. (1993)179,13-30

221- Dokter A.M. & co-Auth. (2010) Bird migration flight altitudes studied by a network of operational weather radars . Jour.Royal Soc.Interface (2010) DOI :10.1098

222-Johnson K.P. & co-Auth ( 2010) The flight the Passenger Pigeon : Phylogenetics and biogeographic history of an extinct species . Molec.Philog. and Evol. (2010)57:455-458

223- Sachs G. (2009). Speed stability in birds . Mathematical Bioscence (2009)19,1,1:6. 

224- Åkesson S and Helm B (2020) Endogenous Programs and Flexibility in Bird Migration.
Front. Ecol. Evol. 8:78. doi: 10.3389/fevo.2020.00078

Special personal bibliography  and update March 2020  at Publications –extra-special (A – AA>AH)

  1. All papers (including 2020 ) in   >>    https://journal.ilcolombaccio.it/

          

AA)  Cavina E.,Bucchi R.,Busse P. – (2018) – The General Pattern of Seasonal Dynamics of the Autumn Migration of the Wood Pigeon (Columba Palumbus ) in Italy – THE RING 40 (2018) 10.1515/ring-2018-0001and https://www.researchgate.net/publication/328336987 *****

 

AB) Cavina E.,Bucchi R.,Bianchi D.,Giovanetti G.,Feligetti V.,Giannerini S.,Bececco L –La Migrazione autunnale del Colombaccio ( Columba palumbus) in Italia –Monography – Ed.Aracne Editrice-Roma – 2017

 

PTO –special  Bibliography 

AC) Cavina E. : THE PARA-TYMPANIC ORGAN (PTO) of VITALI : a documental *

continuing forgotten request to the SCIENCE  ****

and related bibliograpphy 

 

  • Vitali G. Di un interessante derivato della prima fessura branchiale nel passero. Anat Anz. 1911;39:219–224.
  • Vitali G. Di un interessante derivato dell’ectoderma della prima fessura branchiale nel passero. Un organo nervoso di senso nell’orecchio medio degli uccelli. Anat Anz. 1912;40:631–639
  • Vitali G. Il comportamento dell’organo della prima fessura branchiale (placode epibranchiale) nei Selaci. Monit Zool Ital. 1925;36:122–130.
  • Vitali G. Sui disturbi funzionali e sulle lesioni istologiche dipendenti della distruzione dell’organo nervoso di senso da me descritto nell’orecchio medio degli Uccelli. Atti dell’Acc Dei Fisiocritici di Siena. 1915a;5 (7):291–302
  • Vitali G. Il comportamento dell’organo della prima fessura branchiale negli anfibi, nei rettili e nei mammiferi. Ricerche Morfol. 1924;4:191–220.

 

 

*      Ruffini A. Sull’organo nervoso paratimpanico di G. Vitali od organo del volo degli uccelli. Boll Sci med Soc med-chir

       Bologna. 1920:141–154.
      

 

AD) Francesco Giannessi,a,*Riccardo Ruffoli,a and Christopher S. von Bartheld – (2013 ) –Giovanni Vitali: Discoverer of the Paratympanic Organ – Ann Anat. 2013   Jan;195(1): 10.

 

AE) von Bartheld C.S.,Giannessi F.- (2011)- The paratympanic organ: a barometer and altimeter in the middle ear of   birds?- Exp. Zool. (Mol. Dev. Evol.) 316:402–408, 2011

  • Giannessi F. On the presence of reciprocal synapses in the paratympanic organ of the chicken. Anat Embryol (Berl) 1989;180:175–178.
  • Giannessi F. Ultrastructure of the supporting cells of the paratympanic organ in the chicken: a preliminary study. Boll Soc Ital Biol Sper. 1990;66:99–104
  • Giannessi F, Ruffoli R. The ultrastructure of the sensory hair cells of the paratympanic organ receptor cells in chicken. Anat Embryol. 1996b;193:569–575
  • Federici F. Ueber die Innervation des von Vitali entdeckten Sinnesorgans im Mittelohr der Voegel (sogen. paratympanisches Organ) Anat Anz. 1927;62:241–254.
  • Benjamins CE. Y a-t-il une relation entre l’organe paratympanique de Vitali et le vol des oiseaux? Arch Neerl Physiol. 1926;11:215–222.
  • Benjamins CE. L’organe paratympanique de Vitali, soi-disant organe du vol des oiseaux, chez le pingouin. Acta otolar. 1939;27:266–270.

        Giannessi F, Pera L. On the presence of fibers of probable efferent function in the paratympanic organ in chickens. Boll 

       SocBioSper. 1987;63:337–340  

  • Giannessi F, Fattori B, Ruffoli R, Gagliardo A. Homing experiments on pigeons subjected to bilateral destruction of the paratympanic organ. J Exp Biol. 1996;199:2035–2039.
  • Barry MA, Boord RL. The spiracular organ of sharks and skates: anatomical evidence indicating a mechanoreceptive role. 1984;226:990–992.
  •   Baker CVH, O’Neill P, McCole RB. Lateral line, otic and epibranchial placodes:developmental and evolutionary links? ExpZoolB Mol Dev Evol. 2008;310:370–383.
  • Petrash EW, Andres KH, von Düring M, Delius JD. Morphologische Aspekte des Vitali-Organs bei der Taube. Anat Anz. 1983;153:288.
  • Ruffoli R, Giambelluca MA, Giannessi F. Ultrastructure of the supporting cells in the paratympanic organ of chicken, Gallus gallus domesticus. J Morphol. 1998;236:65–73.
  • Simonetta A. L’organo di senso dello spiracolo e l’organo paratimpanico nella sistematica dei vertebrati. Arch Ital Anat Embryol. 1953;58:266–294
  • von Bartheld CS. Development and innervation of the paratympanic organ (Vitali organ) in chick embryos. Brain Behav Evol. 1990;35:1–15
  • von Bartheld CS. Functional morphology of the paratympanic organ in the middle ear of birds. Brain Behav Evol. 1994;44:61–73.
  • von Bartheld CS, Giannessi F. The paratympanic organ: a barometer and altimeter in the middle ear of birds? J Exp Zool B Mol Dev Evol. 2011;316:402–408. [PMC free article]
  • von Bartheld CS, Rubel EW. Paratympanic and spiracular sense organs: phylogenetic distribution and theories of function, including hearing. In: Webster DB, Fay RR, Popper AN, editors. Evolutionary Biology of Hearing.Springer; New York: 1992. pp. 582–583.
  • O’Neill P. Molecular mechanisms underlying paratympanic organ development and evolution. RIKEN FY2009 Foreign Postdoctoral Researchers. 2010;22:193–194.

AG ) Martin G. – (2017)- The sensory ecology of birds – Oxford Univ.Press 2017

AF ) Alerstam T.-(1997)- Bird Migration – Cambridge Univ.Press 1997

AH ) Newton I.- (2007) – The migration ecology of birds – Elsevier Pub. 2007

———————————————————————————————————————–

image_pdfimage_print