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    Morphological variability of Carex buekii (Cyperaceae) as a function of soil conditions: a case study of the Central European populations

    Mal, T. K. & Lovett-Doust, J. Phenotypic plasticity in vegetative and reproductive traits in an invasive weed, Lythrum salicaria (Lythraceae), in response to soil moisture. Am. J. Bot. 92, 819–825 (2005).PubMed 
    Article 

    Google Scholar 
    Wang, S., Li, L. & Zhou, D.-W. Morphological plasticity in response to population density varies with soil conditions and growth stage in Abutilon theophrasti (Malvaceae). Plant Ecol. 218, 785–797 (2017).Article 

    Google Scholar 
    Eid, E. M., Shaltout, K. H., Al-Sodany, Y. M., Haroun, S. A. & Jensen, K. A comparison of the functional traits of Phragmites australis in Lake Burullus (a Ramsar site in Egypt): Young vs. old populations over the nutrient availability gradient. Ecol. Eng. 166, 106244 (2021).Article 

    Google Scholar 
    Hassan, M. O. et al. Habitat variations affect morphological, reproductive and some metabolic traits of Mediterranean Centaurea glomerata Vahl populations. Heliyon 6, e04173 (2020).PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Więcław, H. Within-species variation among populations of the Carex flava complex as a function of habitat conditions. Plant Ecol. Divers. 10, 443–451 (2017).Article 

    Google Scholar 
    MacLeod, N. Phylogenetic signals in morphometric data. In Morphology, Shape and Phylogeny (eds MacLeod, N. & Forey, P.) 100–138 (Taylor & Francis, Routledge, 2002).Chapter 

    Google Scholar 
    Gratani, L. Plant phenotypic plasticity in response to environmental factors. Adv. Bot. 2014, 208747 (2014).
    Google Scholar 
    Koopman, J. et al. Global distribution of Carex buekii (Cyperaceae) reappraised. Phytotaxa 358, 139–161 (2018).Article 

    Google Scholar 
    Egorova, T. V. The Sedges (Carex L.) of Russia and Adjacent States (Within the Limits of the Former USSR) (St.-Petersburg State Chemical-Pharmaceutical Academy, St.-Petersburg, 1999).
    Google Scholar 
    Burkart, M. River corridor plants (Stromtalpflanzen) in Central European lowland: A review of a poorly understood plant distribution pattern: River corridor plants. Glob. Ecol. Biogeogr. 10, 449–468 (2001).Article 

    Google Scholar 
    Więcław, H. et al. Ecology, threats and conservation status of Carex buekii (Cyperaceae) in Central Europe. Sci. Rep. 9, 11162 (2019).ADS 
    PubMed 
    PubMed Central 
    Article 
    CAS 

    Google Scholar 
    Nobis, A. & Skórka, P. River corridor plants revisited: What drives their unique distribution patterns?. Plant Biosyst. 150, 244–253 (2016).Article 

    Google Scholar 
    Spink, A., Sparks, R. E., Van Oorschot, M. & Verhoeven, J. T. A. Nutrient dynamics of large river floodplains. Regul. Rivers. Res. Manag. 14, 203–216 (1998).Article 

    Google Scholar 
    Myśliwy, M. Diversity and environmental variability of riparian tall herb fringe communities of the order Convolvuletalia sepium in Polish river valleys. Monographiae Botaniceae 108, 1–129 (2019).Article 

    Google Scholar 
    Fischer, W. Die Stromtalpflanzen Brandenburgs. Unter Havel. Naturkundliche Berichte 5, 4–13 (1996).
    Google Scholar 
    Thiers, B. Index Herbariorum: A global directory of public herbaria and associated staff. New York Botanical Garden’s Virtual Herbarium. Available from: http://sweetgum.nybg.org/science/ih/ (assessed: 08 March 2022).Methods of Soil Analysis: Part 3 Chemical Methods. (Soil Science Society of America, American Society of Agronomy, 1996). https://doi.org/10.2136/sssabookser5.3.StatSoft Inc. Electronic Statistics Textbook. (Tulsa, OK: StatSoft, 2013).ter Braak, C. J. F. & Smilauer, P. CANOCO Reference Manual and CanoDraw for Windows User’s Guide: Software for Canonical Community Ordination (version 4.5). (Ithaca NY, 2002).Xu, X. et al. Effects of potassium levels on plant growth, accumulation and distribution of carbon, and nitrate metabolism in apple dwarf rootstock seedlings. Front. Plant Sci. 11, 904 (2020).PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Sardans, J. & Peñuelas, J. Potassium control of plant functions: Ecological and agricultural implications. Plants 10, 419 (2021).CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Broadley, M. R. et al. Phylogenetic variation in the shoot mineral concentration of angiosperms. J. Exp. Bot. 55, 321–336 (2004).CAS 
    PubMed 
    Article 

    Google Scholar 
    Watanabe, T. et al. Evolutionary control of leaf element composition in plants. New Phytol. 174, 516–523 (2007).CAS 
    PubMed 
    Article 

    Google Scholar 
    Konings, H., Koot, E. & Wolf, A. T. Growth characteristics, nutrient allocation and photosynthesis of Carex species from floating fens. Oecologia 80, 111–121 (1989).ADS 
    CAS 
    PubMed 
    Article 

    Google Scholar 
    Busch, J. Characteristic values of key ecophysiological parameters in the genus Carex. Flora 196, 405–430 (2001).Article 

    Google Scholar 
    Zhang, D. et al. Effect of hydrological fluctuation on nutrient stoichiometry and trade-offs of Carex schmidtii. Ecol. Ind. 120, 106924 (2021).Article 
    CAS 

    Google Scholar 
    Zhang, D. et al. Growth and physiological responses of Carex schmidtii to water-level fluctuation. Hydrobiologia 847(3), 967–981 (2020).CAS 
    Article 

    Google Scholar 
    Yan, H. et al. Growth and physiological responses to water depths in Carex schmidtii Meinsh. PLoS ONE 10(5), e0128176 (2015).PubMed 
    PubMed Central 
    Article 
    CAS 

    Google Scholar 
    Luo, W. & Xie, Y. Growth and morphological responses to water level and nutrient supply in three emergent macrophyte species. Hydrobiologia 624(1), 151–160 (2009).CAS 
    Article 

    Google Scholar 
    Lu, Y. Growth and morphological responses to water level variations in two Carex species from Sanjiang Plain, China. Afr. J. Agric. Res. 6, 28–34 (2011).
    Google Scholar 
    Cao, Y. et al. Flooding influences on the C, N and P stoichiometry in terrestrial ecosystems: A meta-analysis. CATENA 215, 106287 (2022).CAS 
    Article 

    Google Scholar 
    Sardans, T., Peñuelas, T., Prieto, P. & Estiarte, M. Drought and warming induced changes in P and K concentration and accumulation in plant biomass and soil in a Mediterranean shrubland. Plant Soil 306, 261–271 (2007).Article 
    CAS 

    Google Scholar 
    Flórez-Flórez, C. P., León-Peláez, J. D., Osorio-Vega, N. W. & Restrepo-Llano, M. F. Nutrient dynamics in forest plantations of Azadirachta indica (Meliaceae) established for restoration of degraded lands in Colombia. Rev. Biol. Trop. 61, 515–529 (2013).PubMed 
    Article 

    Google Scholar 
    Jordan-Meille, L. & Pellerin, S. Leaf area establishment of a maize (Zea mays L.) field crop under potassium deficiency. Plant Soil 265, 75–92 (2004).CAS 
    Article 

    Google Scholar 
    Gerardeaux, E., Jordan-Meille, L., Constantin, J., Pellerin, S. & Dingkuhn, M. Changes in plant morphology and dry matter partitioning caused by potassium deficiency in Gossypium hirsutum L. Environ. Exp. Bot. 67, 451–459 (2010).CAS 
    Article 

    Google Scholar 
    Bailey, J. S. & Laidlaw, A. S. Growth and development of white clover (Trifolium repens L.) as influenced by P and K nutrition. Ann. Bot. 81, 783–786 (1998).Article 

    Google Scholar 
    White, P. Relationship between the development and growth of rye (Secale cereale L.) and the potassium concentration in solution. Ann. Bot. 72, 349–358 (1993).CAS 
    Article 

    Google Scholar 
    Pujos, A. & Morard, P. Effects of potassium deficiency on tomato growth and mineral nutrition at the early production stage. Plant Soil 189, 189–196 (1997).CAS 
    Article 

    Google Scholar 
    Osakabe, Y. et al. Osmotic stress responses and plant growth controlled by potassium transporters in Arabidopsis. Plant Cell 25, 609–624 (2013).CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Lebaudy, A. et al. Plant adaptation to fluctuating environment and biomass production are strongly dependent on guard cell potassium channels. Proc. Natl. Acad. Sci. 105, 5271–5276 (2008).ADS 
    CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Tränkner, M., Tavakol, E. & Jákli, B. Functioning of potassium and magnesium in photosynthesis, photosynthate translocation and photoprotection. Physiol. Plantarum 163, 414–431 (2018).Article 
    CAS 

    Google Scholar 
    Du, Q. et al. Effect of potassium deficiency on root growth and nutrient uptake in maize (Zea mays L.). Agric. Sci. 8, 1263–1277 (2017).CAS 

    Google Scholar 
    Hu, W., Coomer, T. D., Loka, D. A., Oosterhuis, D. M. & Zhou, Z. Potassium deficiency affects the carbon-nitrogen balance in cotton leaves. Plant Physiol. Biochem. 115, 408–417 (2017).CAS 
    PubMed 
    Article 

    Google Scholar 
    Reisch, C., Meier, S., Schmid, C. & Bartelheimer, M. Clonal diversity and genetic variation of the sedge Carex nigra in an alpine fen depend on soil nutrients. PeerJ 8, e8887 (2020).PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Lenssen, J. P. M., Menting, F. B. J. & Van der Putten, W. H. Plant responses to simultaneous stress of waterlogging and shade: Amplified or hierarchical effects?. New Phytol. 157, 281–290 (2003).CAS 
    PubMed 
    Article 

    Google Scholar 
    Liu, Z. G. & Li, Z. Q. Effects of different grazing regimes on the morphological traits of Carex duriuscula on the Inner Mongolia steppe, China. N. Z. J. Agric. Res. 53(1), 5–12 (2010).Article 

    Google Scholar 
    Więcław, H. et al. Morphological variability and genetic diversity in Carex buxbaumii and Carex hartmaniorum (Cyperaceae) populations. PeerJ 9, e11372 (2021).PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Więcław, H., Kurnicki, B., Bihun, M., Białecka, B. & Koopman, J. Carex section Racemosae (Cyperaceae) in Europe: Morphological diversity, taxonomy and phylogenetic relationships. Bot. J. Linn. Soc. 183, 124–145 (2017).
    Google Scholar 
    Jiménez-Mejías, P., Benítez-Benítez, C., Fernández-Mazuecos, M. & Martín-Bravo, S. Cut from the same cloth: The convergent evolution of dwarf morphotypes of the Carex flava group (Cyperaceae) in Circum-Mediterranean mountains. PLoS ONE 12(12), e0189769 (2017).PubMed 
    PubMed Central 
    Article 
    CAS 

    Google Scholar 
    Więcław, H. Carex flava agg. (section Ceratocystis, Cyperaceae) in Poland: taxonomy, morphological variation, and soil conditions. Biodivers. Res. Conserv. 33, 3–51 (2014).Article 

    Google Scholar 
    Kalela, A. Systematische und Pflanzengeographische Studien an der Carex-Subsektion Alpinae Kalela. Annales Botanici Societatis Zoologicae-Botanicae Fennicae 19, 1–218 (1944).
    Google Scholar 
    Wallnöfer, B. Uber Carex melanostachya, C. norvegica, C. cespitosa und C. hartmanii in Südtirol. Gredleriana 4, 413–418 (2004).
    Google Scholar 
    Gebauer, S., Röser, M. & Hoffmann, M. H. Molecular phylogeny of the species-rich Carex sect. Racemosae (Cyperaceae) based on four nuclear and chloroplast markers. Syst. Bot. 40, 433–447 (2015).Article 

    Google Scholar 
    Molina, A., Acedo, C. & Llamas, F. Taxonomy and new taxa in Eurasian Carex (Section Phaestoglochin, Cyperaceae). Syst. Bot. 33, 237–250 (2008).Article 

    Google Scholar 
    Molina, A., Acedo, C. & Llamas, F. Taxonomy and new taxa of the Carex divulsa aggregate in Eurasia (section Phaestoglochin, Cyperaceae). Botan. J. Linn. Soc. 156, 385–409 (2008).Article 

    Google Scholar 
    Jiménez-Mejías, P. & Luceño, M. Cyperaceae. in Euro+Med. etc. Plantbase – the information resource for Euro-Mediterranean plant diversity. Available from: http://www.emplantbase.org/home.html (accessed 07 January 2022). (eds Greuter, W. & Raab-Straube, E. von) (2011).Míguez, M., Martín-Bravo, S. & Jiménez-Mejías, P. Reconciling morphology and phylogeny allows an integrative taxonomic revision of the giant sedges of Carex section Rhynchocystis (Cyperaceae). Botan. J. Linn. Soc. 188, 34–58 (2018).Article 

    Google Scholar 
    Kaplan, Z. et al. Distributions of vascular plants in the Czech Republic. Preslia 93, 255–304 (2021).Article 

    Google Scholar  More

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    Neuron numbers link innovativeness with both absolute and relative brain size in birds

    Shultz, S. & Dunbar, R. Encephalization is not a universal macroevolutionary phenomenon in mammals but is associated with sociality. Proc. Natl Acad. Sci. USA 107, 21582–21586 (2010).CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Jerison, H. J. Animal intelligence as encephalization. Phil. Trans. R. Soc. Lond. B 308, 21–35 (1985).CAS 
    Article 

    Google Scholar 
    Roth, G. & Dicke, U. Evolution of the brain and intelligence. Trends Cogn. Sci. 9, 250–257 (2005).PubMed 
    Article 

    Google Scholar 
    Lefebvre, L., Whitle, P., Lascaris, E. & Finkelstein, A. Feeding innovations and forebrain size in birds. Anim. Behav. 53, 549–560 (1997).Article 

    Google Scholar 
    Overington, S. E., Morand-Ferron, J., Boogert, N. J. & Lefebvre, L. Technical innovations drive the relationship between innovativeness and residual brain size in birds. Anim. Behav. 78, 1001–1010 (2009).Article 

    Google Scholar 
    Reader, S. M., Hager, Y. & Laland, K. N. The evolution of primate general and cultural intelligence. Phil. Trans. R. Soc. B 366, 1017–1027 (2011).PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Benson-Amram, S., Dantzer, B., Stricker, G., Swanson, E. M. & Holekamp, K. E. Brain size predicts problem-solving ability in mammalian carnivores. Proc Natl Acad. Sci. USA 113, 2532–2537 (2016).CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Reader, S. M. & Laland, K. N. Social intelligence, innovation, and enhanced brain size in primates. Proc. Natl Acad. Sci. USA 99, 4436–4441 (2002).CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Fristoe, T. S., Iwaniuk, A. N. & Botero, C. A. Big brains stabilize populations and facilitate colonization of variable habitats in birds. Nat. Ecol. Evol. 1, 1706–1715 (2017).PubMed 
    Article 

    Google Scholar 
    van Woerden, J. T., van Schaik, C. P. & Isler, K. Effects of seasonality on brain size evolution: evidence from Strepsirrhine primates. Am. Nat. 176, 758–767 (2010).PubMed 
    Article 

    Google Scholar 
    Ducatez, S., Sol, D., Sayol, F. & Lefebvre, L. Behavioural plasticity is associated with reduced extinction risk in birds. Nat. Ecol. Evol. 4, 788–793 (2020).PubMed 
    Article 

    Google Scholar 
    Herculano-Houzel, S. Brains matter, bodies maybe not: the case for examining neuron numbers irrespective of body size. Ann. NY Acad. Sci. 1225, 191–199 (2011).PubMed 
    Article 

    Google Scholar 
    Logan, C. J. et al. Beyond brain size: uncovering the neural correlates of behavioral and cognitive specialization. Comp. Cogn. Behav. Rev. 13, 55–89 (2018).Article 

    Google Scholar 
    Jerison, H. Evolution of the Brain and Intelligence (Academic Press, 1973).Herculano-Houzel, S. Numbers of neurons as biological correlates of cognitive capability. Curr. Opin. Behav. Sci. 16, 1–7 (2017).Article 

    Google Scholar 
    Van Schaik, C. P., Triki, Z., Bshary, R. & Heldstab, S. A. A farewell to the encephalization quotient: a new brain size measure for comparative primate cognition. Brain Behav. Evol. 96, 1–12 (2021).PubMed 
    Article 

    Google Scholar 
    Striedter, G. F. Principles of Brain Evolution (Sinauer Associates, 2005).
    Google Scholar 
    MacLean, E. L. et al. The evolution of self-control. Proc. Natl Acad. Sci. USA 111, E2140–E2148 (2014).CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Matějů, J. et al. Absolute, not relative brain size correlates with sociality in ground squirrels. Proc. R. Soc. B 283, 20152725 (2016).PubMed 
    PubMed Central 
    Article 
    CAS 

    Google Scholar 
    Deaner, R. O., Isler, K., Burkart, J. & Van Schaik, C. Overall brain size, and not encephalization quotient, best predicts cognitive ability across non-human primates. Brain Behav. Evol. 70, 115–124 (2007).PubMed 
    Article 

    Google Scholar 
    Smaers, J. B., Dechmann, D. K. N., Goswami, A., Soligo, C. & Safi, K. Comparative analyses of evolutionary rates reveal different pathways to encephalization in bats, carnivorans, and primates. Proc. Natl Acad. Sci. USA 109, 18006–18011 (2012).CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Smaers, J. B. et al. The evolution of mammalian brain size. Sci. Adv. 7, eabe2101 (2021).PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Němec, P. & Osten, P. The evolution of brain structure captured in stereotyped cell count and cell type distributions. Curr. Opin. Neurobiol. 60, 176–183 (2020).PubMed 
    PubMed Central 
    Article 
    CAS 

    Google Scholar 
    Olkowicz, S. et al. Birds have primate-like numbers of neurons in the forebrain. Proc. Natl Acad. Sci. USA 113, 7255–7260 (2016).CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Kverková, K. et al. The evolution of brain neuron numbers in amniotes. Proc. Natl Acad. Sci. USA 119, e2121624119 (2022).PubMed 
    PubMed Central 
    Article 
    CAS 

    Google Scholar 
    Iwaniuk, A. N. & Hurd, P. L. The evolution of cerebrotypes in birds. Brain Behav. Evol. 65, 215–230 (2005).PubMed 
    Article 

    Google Scholar 
    Timmermans, S., Lefebvre, L., Boire, D. & Basu, P. Relative size of the hyperstriatum ventrale is the best predictor of feeding innovation rate in birds. Brain Behav. Evol. 56, 196–203 (2000).CAS 
    PubMed 
    Article 

    Google Scholar 
    Sayol, F., Lefebvre, L. & Sol, D. Relative brain size and its relation with the associative pallium in birds. Brain Behav. Evol. 87, 69–77 (2016).PubMed 
    Article 

    Google Scholar 
    Healy, K. et al. Ecology and mode-of-life explain lifespan variation in birds and mammals. Proc. R. Soc. B 281, 20140298 (2014).Deaner, R. O., Barton, R. A. & van Schaik, C. P. in Primate Life Histories and Socioecology (eds Kappeler, P. M. & Pereira, M. E.) 233–265 (Univ. of Chicago Press, 2003).Sol, D., Sayol, F., Ducatez, S. & Lefebvre, L. The life-history basis of behavioural innovations. Phil. Trans. R. Soc. B 371, 20150187 (2016).PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Dukas, R. Evolutionary biology of animal cognition. Ann. Rev. Ecol. Evol. Syst. 35, 347–374 (2004).Article 

    Google Scholar 
    Ricklefs, R. E. The cognitive face of life histories. Wilson Bull. 116, 119–133 (2004).Article 

    Google Scholar 
    Martin, T. E., Oteyza, J. C., Boyce, A. J., Lloyd, P. & Ton, R. Adult mortality probability and nest predation rates explain parental effort in warming eggs with consequences for embryonic development time. Am. Nat. 186, 223–236 (2015).PubMed 
    Article 

    Google Scholar 
    Unzeta, M., Martin, T. E. & Sol, D. Daily nest predation rates decrease with body size in passerine birds. Am. Nat. 196, 743–754 (2020).PubMed 
    Article 

    Google Scholar 
    Charvet, C. J. & Striedter, G. F. Developmental modes and developmental mechanisms can channel brain evolution. Front. Neuroanat. 5, 4 (2011).Finlay, B. L. & Darlington, R. B. Linked regularities in the development and evolution of mammalian brains. Science 268, 1578–1584 (1995).CAS 
    PubMed 
    Article 

    Google Scholar 
    Herculano-Houzel, S. Isotropic fractionator: a simple, rapid method for the quantification of total cell and neuron numbers in the brain. J. Neurosci. 25, 2518–2521 (2005).CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Massen, J. J. M. et al. Brain size and neuron numbers drive differences in yawn duration across mammals and birds. Commun. Biol. 4, 1–10 (2021).Article 

    Google Scholar 
    Ramsey, G., Bastian, M. L. & Schaik, C. Van Animal innovation defined and operationalized. Behav. Brain Sci. 30, 393–437 (2007).PubMed 
    Article 

    Google Scholar 
    Lefebvre, L. A global database of feeding innovations in birds. Wilson J. Ornithol. 132, 803–809 (2021).Article 

    Google Scholar 
    Barton, R. A. Embodied cognitive evolution and the cerebellum. Phil. Trans. R. Soc. B 367, 2097–2107 (2012).PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Gutiérrez-Ibáñez, C., Iwaniuk, A. N. & Wylie, D. R. Parrots have evolved a primate-like telencephalic–midbrain–cerebellar circuit. Sci. Rep. 8, 9960 (2018).PubMed 
    PubMed Central 
    Article 
    CAS 

    Google Scholar 
    Brieuc, M. S. O. O., Waters, C. D., Drinan, D. P. & Naish, K. A. A practical introduction to random forest for genetic association studies in ecology and evolution. Mol. Ecol. Res. 18, 755–766 (2018).Article 

    Google Scholar 
    Hadfield, J. D. & Nakagawa, S. General quantitative genetic methods for comparative biology: phylogenies, taxonomies and multi-trait models for continuous and categorical characters. J. Evol. Biol. 23, 494–508 (2010).CAS 
    PubMed 
    Article 

    Google Scholar 
    Güntürkün, O., Ströckens, F., Scarf, D. & Colombo, M. Apes, feathered apes, and pigeons: differences and similarities. Curr. Opin. Behav. Sci. 16, 35–40 (2017).Article 

    Google Scholar 
    Ströckens, F. et al. High associative neuron numbers could drive cognitive performance in corvid species. J. Comp. Neurol. 530, 1588–1605 (2022).PubMed 
    Article 

    Google Scholar 
    Shanahan, M., Bingman, V. P., Shimizu, T., Wild, M. & Güntürkün, O. Large-scale network organisation in the avian forebrain: a connectivity matrix and theoretical analysis. Front. Comput. Neurosci. 7, 89 (2013).Emery, N. J. Cognitive ornithology: the evolution of avian intelligence. Phil. Trans. R. Soc. B 361, 23–43 (2006).PubMed 
    Article 

    Google Scholar 
    Lambert, M. L., Jacobs, I., Osvath, M. & von Bayern, A. M. P. Birds of a feather? Parrot and corvid cognition compared. Behaviour 156, 505–594 (2019).Article 

    Google Scholar 
    Ksepka, D. T. et al. Tempo and pattern of avian brain size evolution. Curr. Biol. 30, 2026–2036 (2020).CAS 
    PubMed 
    Article 

    Google Scholar 
    Herculano-Houzel, S., Manger, P. R. & Kaas, J. H. Brain scaling in mammalian evolution as a consequence of concerted and mosaic changes in numbers of neurons and average neuronal cell size. Front. Neuroanat. 8, 77 (2014).Smaers, J. B., Mongle, C. S., Safi, K. & Dechmann, D. K. N. Allometry, evolution and development of neocortex size in mammals. Prog. Brain Res. 250, 83–107 (2019).PubMed 
    Article 

    Google Scholar 
    Cárdenas, A. & Borrell, V. Molecular and cellular evolution of corticogenesis in amniotes. Cell Mol. Life Sci. 77, 435–1460 (2020).Article 
    CAS 

    Google Scholar 
    García-Moreno, F. & Molnár, Z. Variations of telencephalic development that paved the way for neocortical evolution. Prog. Neurobiol. 194, 101865 (2020).PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Charvet, C. J. & Striedter, G. F. Developmental basis for telencephalon expansion in waterfowl: enlargement prior to neurogenesis. Proc. R. Soc. B 276, 3421–3427 (2009).PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Striedter, G. F. & Charvet, C. J. Developmental origins of species differences in telencephalon and tectum size: morphometric comparisons between a parakeet (Melopsittacus undulatus) and a quail (Colinus virgianus). J. Comp. Neurol. 507, 1663–1675 (2008).PubMed 
    Article 

    Google Scholar 
    Sibly, R. M. & Brown, J. H. Effects of body size and lifestyle on evolution of mammal life histories. Proc. Natl Acad. Sci. USA 104, 17707–17712 (2007).CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Uomini, N., Fairlie, J., Gray, R. D. & Griesser, M. Extended parenting and the evolution of cognition. Phil. Trans. R. Soc. Lond. B 375, 20190495 (2020).Article 

    Google Scholar 
    Reiner, A. et al. Revised nomenclature for avian telencephalon and some related brainstem nuclei. J. Comp. Neurol. 473, 377–414 (2004).PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Mullen, R. J., Buck, C. R. & Smith, A. M. NeuN, a neuronal specific nuclear protein in vertebrates. Development 116, 201–211 (1992).CAS 
    PubMed 
    Article 

    Google Scholar 
    Mezey, S. et al. Postnatal changes in the distribution and density of neuronal nuclei and doublecortin antigens in domestic chicks (Gallus domesticus). J. Comp. Neurol. 520, 100–116 (2012).CAS 
    PubMed 
    Article 

    Google Scholar 
    Revell, L. J. phytools: an R package for phylogenetic comparative biology (and other things). Methods Ecol. Evol. 3, 217–223 (2012).Article 

    Google Scholar 
    Ducatez, S. & Lefebvre, L. Patterns of research effort in birds. PLoS ONE 9, e89955 (2014).PubMed 
    PubMed Central 
    Article 
    CAS 

    Google Scholar 
    Sheard, C. et al. Ecological drivers of global gradients in avian dispersal inferred from wing morphology. Nat. Commun. 11, 2463 (2020).Cooney, C. R. et al. Ecology and allometry predict the evolution of avian developmental durations. Nat. Commun. 11, 2383 (2020).CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Botelho, J. F. & Faunes, M. The evolution of developmental modes in the new avian phylogenetic tree. Evol. Dev. 17, 221–223 (2015).PubMed 
    Article 

    Google Scholar 
    Bürkner, P.-C. Brms: an R package for Bayesian multilevel models using Stan. J. Stat. Softw. 80, 1–28 (2017).Article 

    Google Scholar 
    Pigot, A. L. et al. Macroevolutionary convergence connects morphological form to ecological function in birds. Nat. Ecol. Evol. 4, 230–239 (2020).PubMed 
    Article 

    Google Scholar 
    Jetz, W., Thomas, G. H., Joy, J. B., Hartmann, K. & Mooers, A. O. The global diversity of birds in space and time. Nature 491, 444–448 (2012).CAS 
    PubMed 
    Article 

    Google Scholar 
    Berk, R. A. Statistical Learning from a Regression Perspective (Springer International, 2017).Liaw, A. & Wiener, M. Classification and regression by randomForest. R News 2, 18–22 (2002).
    Google Scholar 
    Lleonart, J., Salat, J. & Torres, G. J. Removing allometric effects of body size in morphological analysis. J. Theor. Biol. 205, 85–93 (2000).CAS 
    PubMed 
    Article 

    Google Scholar 
    Sayol, F., Downing, P. A., Iwaniuk, A. N., Maspons, J. & Sol, D. Predictable evolution towards larger brains in birds colonizing oceanic islands. Nat. Commun. 9, 2820 (2018).PubMed 
    PubMed Central 
    Article 
    CAS 

    Google Scholar 
    Torres, C. R., Norell, M. A. & Clarke, J. A. Bird neurocranial and body mass evolution across the end-Cretaceous mass extinction: the avian brain shape left other dinosaurs behind. Sci. Adv. 7, eabg7099 (2021). More

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    First tagging data on large Atlantic bluefin tuna returning to Nordic waters suggest repeated behaviour and skipped spawning

    Satellite tracking has yielded key information about the movements and behaviour of marine vertebrates in ways that were previously logistically impossible34. In the current study, we tagged the first 18 angler-caught ABFT in Skagerrak, and tracked their movements for up to one year. Despite the majority of tags detaching prematurely, our data provides new insights regarding the migration behaviour and habitat use of this species, both locally within the Nordic region and more widely throughout the northeast Atlantic and western Mediterranean Sea. Most fish (N = 9) left Skagerrak via the Norwegian Trench, heading north before exiting into the Atlantic. In addition, the two tags which remained deployed for approximately one full year showed a return migration into the Skagerrak from the northern North Sea and southern Norwegian Sea regions, re-entering north of the British Isles and through the Norwegian Trench. No fish exited or re-entered through the English Channel or the southern North Sea. These observations of entry/exit from the Skagerrak are similar to migration behaviour inferred from historical commercial fishery data in the region during the 1950s–1960s16,19. These historical records also demonstrated that some individuals migrated from the southern Norwegian Sea into the Skagerrak, Kattegat and Øresund, before leaving the area several weeks later, potentially indicating exploratory feeding on herring and mackerel, abundant in the area during this time of year. Our new tagging results confirm this behaviour among at least some of the ABFT migrating to these areas.The migration patterns revealed by our tagging study exposes tuna entering and exiting the Skagerrak, Kattegat and Øresund to targeted exploitation by regional commercial fishing vessels. Presently, these vessels catch ABFT under a Norwegian quota (315 tonnes in 2021) but additional countries in the region may acquire a quota in the future. Moreover, the relatively narrow size distribution of tunas caught indicates that this migratory behaviour may only be performed by a limited number of year classes35, meaning that the continued long-term migration of ABFT to these waters is highly dependent on recruitment and survival of younger year classes. These younger year classes, perhaps once they reach a certain size, could then also undertake a migration to Skagerrak–Kattegat–Øresund. However, the combination of local exploitation pressures, and the presently limited number of year classes found in Skagerrak could result in ABFT migrating into Skagerrak–Kattegat–Øresund being a short-lived phenomenon if those year classes are subject to a large yearly fishing mortality (both regionally within the Nordic region, and more generally throughout the population range) and no younger year classes appear. Additionally, currently there is no scientifically-derived estimates of ABFT abundance for this region. We suggest to monitor the size distribution and abundance of ABFT in Scandinavian waters in the coming years to (1) confirm that visiting ABFT consist of only a few year classes, and clarify if younger year classes begin to appear, (2) evaluate how the numbers migrating to the region annually may change over time (e.g., under different levels of exploitation, or in relation to environmental factors).While most of our tagged ABFT went north after exiting the Skagerrak, one individual turned south into the south-central North Sea before eventually leaving through the northern part of the North Sea. The region to which it migrated in the North Sea is congruent with earlier commercial catches and sightings in this region, including the Dogger Bank vicinity15,16. Although the exact routes that tagged individuals followed were not identical, no individuals used the shortest route to reach the Atlantic: from the Skagerrak through the North Sea to the English Channel, and further south to the Bay of Biscay and other southern regions. Migration along a northerly route probably reflects a trade-off between the potential for higher energetic gain from more abundant food and higher energy resources, and the longer migration distance. This could suggest that ABFT either follow the food, or simply follow the same route by which they came through learned behaviour.Three tags remained attached long enough to explore long-term migration patterns and showed widely different behaviours. One fish crossed the Atlantic and utilized areas near the Grand Banks, crossing the ICCAT management boundary between the Western and Eastern stocks of ABFT (the 45° meridian), while the other two fish remained in the eastern Atlantic. The area west of Ireland, the Bay of Biscay and the area west of Portugal appear to be important feeding areas when the fish are not in Skagerrak or the Norwegian Sea. These results reflect interconnected seascapes for foraging through the NE Atlantic. Connecting foraging grounds off Ireland and the Bay of Biscay, which was previously suggested by Ref.24 is further corroborated by one of the fish tagged in this study, which passed over the Irish continental shelf when returning to Skagerrak in 2018.Depth and temperature useWithin ICES Area 3a, ABFT were predominantly roaming the upper water column, with most observations in the upper 100 m. However, some ABFT did dive to much deeper depths, with the maximum depth recorded being 520 m, showing that they can use the majority of the depth range available in the area (max. depth in the Norwegian Trench is app. 725 m, but represents a relatively small area). The behaviour likely reflects foraging, as ABFT were also observed by both the scientific tagging crews and the anglers to actively chase prey fish, like garfish and mackerel, at the surface during the tagging operations. The temperature ranges recorded varied between 7 and 17 °C. Both the depths and temperatures recorded are well within the thermal and depth limits reported in the literature for ABFT36.SpawningABFT have been shown to successfully spawn at temperatures above 20 °C at night30,31, and to display a distinct dive pattern thought to represent courtship and spawning behaviour29. When matching this described behaviour with the data from fish 34859 in the Mediterranean Sea, almost identical behavioural patterns were detected on specific days (Fig. 4). In total, seven days aligned with temperatures above 20 °C and oscillatory movement past the thermocline. All detected spawning events occurred west of Sardinia, where fishing for mature ABFT has been conducted for centuries37.In light of the recently proposed third spawning area in the Slope Sea of northeast United States38 and other proposed areas outside the Mediterranean19, it is relevant to look for similar temperature and behavioural patterns for fish 34840, which did not enter the Mediterranean Sea, and instead stayed in the eastern Atlantic. We found that this fish did not display a similar oscillatory behaviour, and the temperature experienced during the alleged spawning period (June–July) was above 20 °C only once (20.4 °C on 11 July). In this period, the fish was on the continental shelf west of Ireland, likely feeding and not spawning. Due to the size of the fish (247 cm CFL), reflecting a likely age of 14–16 years (matching the strong 2003 cohort), and the assumption that all eastern ABFT above five years and western ABFT above eight years are mature, we find it unlikely that this fish was immature. As such, these observations may suggest that this fish skipped spawning in 2018. Fish 34861 surfaced on 25 April and the tag was not recovered. The transmitted data does not allow for a detailed analysis of potential spawning behaviour for this fish. It did however, display 6 days where maximum temperatures from the transmitted dataset reached 20 °C (observations from 15. March to 20 April, with temperatures ranging from 20 to 20.6 °C). Given the lack of detailed behaviour and the fact that this time is well outside the normal spawning time for Mediterranean ABFT, we propose that this ABFT did not spawn in that period. However, the documentation of spawning depends on the general applicability of the temperature limits and nightly spawning behaviour30,31. More studies documenting spawning behaviour will be needed to corroborate if this pattern is consistent among locations and stocks. We also suggest more studies with longer lasting tags to elucidate if skipped spawning is a common behaviour and if fish skip one or more consecutive spawning seasons. Skipped spawning has been demonstrated in many fish species, including both freshwater and marine fish39, and likely reflects physiological condition40. If a considerable proportion of the adult population skips spawning every season, current population models, which assume annual spawning by all adult fish, should be modified to more accurately reflect population egg production and reproductive output. Current population modelling may be even further challenged if the proportion of adults that skip spawning varies over time, perhaps depending on environmental conditions. However, we acknowledge that only one of two fish followed through the spawning season appeared to skip spawning, and therefore caution against broad general interpretations. More studies are needed to verify that skipped spawning is a common behaviour, and if so, to estimate just how common that behaviour is.
    Return migrationIn exploited fish populations, large adults are hypothesized to be important components of the spawning population because they contribute more to recruitment than smaller individuals due to a variety of maternal effects including higher fecundity, better quality of eggs and differences in spawning behaviour (e.g. time, location)41. Although such effects remain to be documented for ABFT, it may be prudent to conserve these large individuals as a precautionary measure, to maximize their potential contributions to reproduction and recruitment.In order to protect these fish, new knowledge about their movements and distribution is required. Data from ABFT deployed with long-term electronic tags suggests that after spawning in the Gulf of Mexico, the fish return to the feeding grounds where they were initially tagged, indicating a return feeding migration7. The same has been observed more recently from ABFT tagged in Ireland24, and other large highly migratory fish species (e.g., swordfish, Xiphias gladius42). In the current study, both ABFT that retained the tag for one year also returned to the same area, suggesting a similar seasonal return feeding migration. We also note that ABFT appeared to perform recurrent visits to the Norwegian Sea, Ireland and the Bay of Biscay on their way from Nordic waters and upon their return to the latter. Hence, we hypothesize that large ABFT in Nordic waters generally return to the same feeding area the following year, given suitable habitat features (e.g., food and temperature conditions), and follow a similar migration route as they do so. More studies are nonetheless needed to confirm this hypothesis, given few long-term deployments in the current study. For a deeper understanding of behavioural repeatability, and if/when shifts in the behaviour occur, it will be necessary to follow the same fish over multiple years. Such studies would also act as a highly valuable indicator of survival, independent of stock assessment-derived mortality estimates, and could be used to estimate the local abundance of larger ABFT43. Thus, a promising avenue for future research would be to deploy long-lasting ( > 5 to 10 years) acoustic tags and use existing infrastructure from networks such as the European Tracking Network to track these large fish over the next decade44. Given that ABFT appear to return to the area annually, we suggest that Skagerrak is a promising area for the future deployment and retrieval of PSATs and other long-lasting tags, because of the relatively easy access to locate and recover detached floating tags, given that the area is reachable from land within a few hours by boat. Retrieving PSATs that have detached from animals enables scientists to access full datasets (in the present case with 5 s resolution, rather than the much coarser and variable resolution typically transmitted). This much higher resolution enables much more detailed analysis, as shown in our analysis of spawning behaviour. Additionally, floating Pop-off Data Storage Tags (PDST) tags may also be a prominent and less costly avenue forward as the geographical region is densely populated and contains many sandy beaches and highly visited coastal areas, giving ample opportunity for tag recovery. Previous studies with floating DSTs in this area have shown remarkably high return rates45.The evidence that ABFT have returned to Nordic waters following many years of rarity or absence, and our findings that at least some individuals return to the same site for feeding in consecutive years, raises new questions about the mechanisms that underlie habitat discovery—or the return to previously used habitats—by highly migratory fish species. How individuals or entire schools have discovered this region again as a suitable feeding area after an absence of more than 50 years is unclear. In light of the positive stock development in the last 1–2 decades22 and modelling studies showing suitable habitat in the area46, density-dependent foraging and exploratory behaviour for new feeding areas may be a prominent hypothesis for their return, potentially accompanied by complex social learning interactions among individuals within the population47,48. New tagging data which documents the use of new or formerly occupied habitats will be essential for understanding these processes and how they might be affected by human pressures (e.g., exploitation, climate change). Such data can help to parameterize and validate advanced conceptual models of group movement behaviour, collective memory and habitat use49,50,51, as well as to inform modern stock assessment models used for management.
    Tag deploymentFollowing recommendations from experienced taggers previously operating in the Mediterranean, most fish were tagged in the water alongside the boat. All these tags surfaced prematurely, while two (out of three) tags deployed on tunas brought on board the tagging boat surfaced after approximately one year. Depending on the conditions at sea, tagging along the side of the boat may not be as precise as on-board tagging, and the quality of the tag anchoring cannot be properly assessed. We therefore suggest that tagging on-board a boat is superior to tagging in the water alongside the boat for the deployment of long-lasting tags. This was also suggested in Ref.24. Furthermore, on-board tagging makes biological sampling fast and feasible, as opposed to tagging in the water alongside the boat. However, our advice is limited by a small sample size, making it difficult to draw formal conclusions; more studies are necessary to assess the best method to tag large ABFT. More

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    Enhanced leaf turnover and nitrogen recycling sustain CO2 fertilization effect on tree-ring growth

    Cole, C. T., Anderson, J. E., Lindroth, R. L. & Waller, D. M. Rising concentrations of atmospheric CO2 have increased growth in natural stands of quaking aspen (Populus tremuloides). Glob. Change Biol. 16, 2186–2197 (2010).Article 

    Google Scholar 
    Urrutia-Jalabert, R. et al. Increased water use efficiency but contrasting tree growth patterns in Fitzroya cupressoides forests of southern Chile during recent decades. J. Geophys. Res. Biogeosci. 120, 2505–2524 (2015).Article 

    Google Scholar 
    Cienciala, E. et al. Increased spruce tree growth in Central Europe since 1960s. Sci. Total Environ. 619–620, 1637–1647 (2018).PubMed 
    Article 

    Google Scholar 
    Mathias, J. M. & Thomas, R. B. Disentangling the effects of acidic air pollution, atmospheric CO2, and climate change on recent growth of red spruce trees in the Central Appalachian Mountains. Glob. Change Biol. 24, 3938–3953 (2018).Article 

    Google Scholar 
    Körner, C. et al. Carbon flux and growth in mature deciduous forest trees exposed to elevated CO2. Science 309, 1360–1362 (2005).PubMed 
    Article 

    Google Scholar 
    Klein, T. et al. Growth and carbon relations of mature Picea abies trees under 5 years of free-air CO2 enrichment. J. Ecol. 104, 1720–1733 (2016).CAS 
    Article 

    Google Scholar 
    Norby, R. J. & Zak, D. R. Ecological lessons from free-air CO2 enrichment (FACE) experiments. Annu. Rev. Ecol. Evol. Syst. 42, 181–203 (2011).Article 

    Google Scholar 
    Peñuelas, J., Canadell, J. G. & Ogaya, R. Increased water-use efficiency during the 20th century did not translate into enhanced tree growth. Glob. Ecol. Biogeogr. 20, 597–608 (2011).Article 

    Google Scholar 
    IPCC. Climate Change 2013: The Physical Science Basis (eds Stocker, T. F. et al.) (Cambridge Univ. Press, 2013).Dong, N. et al. Rising CO2 and warming reduce global canopy demand for nitrogen. New Phytol. https://doi.org/10.1111/nph.18076 (2022).Finzi, A. C., Allen, A. S., DeLucia, E. H., Ellsworth, D. S. & Schlesinger, W. H. Forest litter production, chemistry, and decomposition following two years of free-air CO2 enrichment. Ecology 82, 470–484 (2001).
    Google Scholar 
    Liberloo, M. et al. Elevated CO2 concentration, fertilization and their interaction: growth stimulation in a short-rotation poplar coppice (EUROFACE). Tree Physiol. 25, 179–189 (2005).PubMed 
    Article 

    Google Scholar 
    Hungate, B. A. et al. Nitrogen cycling during seven years of atmospheric CO2 enrichment in a scrub oak woodland. Ecology 87, 26–40 (2006).PubMed 
    Article 

    Google Scholar 
    Ainsworth, E. A. & Long, S. P. What have we learned from 15 years of free-air CO2 enrichment (FACE)? A meta-analytic review of the responses of photosynthesis, canopy properties and plant production to rising CO2. New Phytol. 165, 351–372 (2005).PubMed 
    Article 

    Google Scholar 
    Liberloo, M. et al. Coppicing shifts CO2 stimulation of poplar productivity to above-ground pools: a synthesis of leaf to stand level results from the POP/EUROFACE experiment. New Phytol. 182, 331–346 (2009).CAS 
    PubMed 
    Article 

    Google Scholar 
    McCarthy, H. R. et al. Re-assessment of plant carbon dynamics at the Duke free-air CO2 enrichment site: interactions of atmospheric [CO2] with nitrogen and water availability over stand development. New Phytol. 185, 514–528 (2010).CAS 
    PubMed 
    Article 

    Google Scholar 
    Dawes, M. A. et al. Species-specific tree growth responses to 9 years of CO2 enrichment at the alpine treeline. J. Ecol. 99, 383–394 (2011).
    Google Scholar 
    Luo, Y. Q. et al. Progressive nitrogen limitation of ecosystem responses to rising atmospheric carbon dioxide. Bioscience 54, 731–739 (2004).Article 

    Google Scholar 
    Keenan, T. F. et al. Increase in forest water-use efficiency as atmospheric carbon dioxide concentrations rise. Nature 499, 324–327 (2013).CAS 
    PubMed 
    Article 

    Google Scholar 
    Luo, Y. Q., Hui, D. F. & Zhang, D. Q. Elevated CO2 stimulates net accumulations of carbon and nitrogen in land ecosystems: a meta-analysis. Ecology 87, 53–63 (2006).PubMed 
    Article 

    Google Scholar 
    Kikuzawa, K. A cost-benefit analysis of leaf habit and leaf longevity of trees and their geographical pattern. Am. Nat. 138, 1250–1263 (1991).Article 

    Google Scholar 
    Wright, I. J. et al. The worldwide leaf economics spectrum. Nature 428, 821–827 (2004).CAS 
    PubMed 
    Article 

    Google Scholar 
    Luo, T. X. et al. Summer solstice marks a seasonal shift in temperature sensitivity of stem growth and nitrogen-use efficiency in cold-limited forests. Agric. For. Meteorol. 248, 469–478 (2018).Article 

    Google Scholar 
    Rossi, S. et al. Conifers in cold environments synchronize maximum growth rate of tree-ring formation with day length. New Phytol. 170, 301–310 (2006).PubMed 
    Article 

    Google Scholar 
    Bauerle, W. L. et al. Photoperiodic regulation of the seasonal pattern of photosynthetic capacity and the implications for carbon cycling. Proc. Natl Acad. Sci. USA 109, 8612–8617 (2012).CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Jarvis, P. & Linder, S. Constraints to growth of boreal forests. Nature 405, 904–905 (2000).CAS 
    PubMed 
    Article 

    Google Scholar 
    Sullivan, P. F., Ellison, S. B., McNown, R. W., Brownlee, A. H. & Sveinbjörnsson, B. Evidence of soil nutrient availability as the proximate constraint on growth of treeline trees in northwest Alaska. Ecology 96, 716–727 (2015).PubMed 
    Article 

    Google Scholar 
    Dodd, A. N. et al. Plant circadian clocks increase photosynthesis, growth, survival, and competitive advantage. Science 309, 630–633 (2005).CAS 
    PubMed 
    Article 

    Google Scholar 
    Jackson, S. D. Plant responses to photoperiod. New Phytol. 181, 517–531 (2009).CAS 
    PubMed 
    Article 

    Google Scholar 
    Chapin III, F. S., Matson, P. A. & Mooney, H. A. Principles of Terrestrial Ecosystem Ecology (Springer-Verlag, 2002).Hikosaka, K. Leaf canopy as a dynamic system: ecophysiology and optimality in leaf turnover. Ann. Bot. 95, 521–533 (2005).CAS 
    PubMed 
    Article 

    Google Scholar 
    Jiang, M. K. et al. The fate of carbon in a mature forest under carbon dioxide enrichment. Nature 580, 227–231 (2020).CAS 
    PubMed 
    Article 

    Google Scholar 
    Guerrieri, R. et al. Disentangling the role of photosynthesis and stomatal conductance on rising forest water-use efficiency. Proc. Natl Acad. Sci. USA 116, 16909–16914 (2019).CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Mathias, J. M. & Thomas, R. B. Global tree intrinsic water use efficiency is enhanced by increased atmospheric CO2 and modulated by climate and plant functional types. Proc. Natl Acad. Sci. USA 118, e2014286118 (2021).CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Finzi, A. C. et al. Increases in nitrogen uptake rather than nitrogen-use efficiency support higher rates of temperate forest productivity under elevated CO2. Proc. Natl Acad. Sci. USA 104, 14014–14019 (2007).CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Soulé, P. T. & Knapp, P. A. Radial growth rate increases in naturally occurring ponderosa pine trees: a late-20th century CO2 fertilization effect? New Phytol. 171, 379–390 (2006).PubMed 
    Article 

    Google Scholar 
    Linares, J. C. & Camarero, J. J. From pattern to process: linking intrinsic water-use efficiency to drought-induced forest decline. Glob. Change Biol. 18, 1000–1015 (2012).Article 

    Google Scholar 
    Kagawa, A., Sugimoto, A. & Maximov, T. C. 13CO2 pulse-labelling of photoassimilates reveals carbon allocation within and between tree rings. Plant Cell Environ. 29, 1571–1584 (2006).CAS 
    PubMed 
    Article 

    Google Scholar 
    Epron, D. et al. Pulse-labelling trees to study carbon allocation dynamics: a review of methods, current knowledge and future prospects. Tree Physiol. 32, 776–798 (2012).CAS 
    PubMed 
    Article 

    Google Scholar 
    Wiley, E. & Helliker, B. A re-evaluation of carbon storage in trees lends greater support for carbon limitation to growth. New Phytol. 195, 285–289 (2012).CAS 
    PubMed 
    Article 

    Google Scholar 
    Rocha, A. V., Goulden, M. L., Dunn, A. L. & Wofsy, S. C. On linking interannual tree ring variability with observations of whole-forest CO2 flux. Glob. Change Biol. 12, 1378–1389 (2006).Article 

    Google Scholar 
    Zweifel, R. et al. Link between continuous stem radius changes and net ecosystem productivity of a subalpine Norway spruce forest in the Swiss Alps. New Phytol. 187, 819–830 (2010).CAS 
    PubMed 
    Article 

    Google Scholar 
    Kong, G. Q., Luo, T. X., Liu, X. S., Zhang, L. & Liang, E. Y. Annual ring widths are good predictors of changes in net primary productivity of alpine Rhododendron shrubs in the Sergyemla Mountains, southeast Tibet. Plant Ecol. 213, 1843–1855 (2012).Article 

    Google Scholar 
    Teets, A. et al. Linking annual tree growth with eddy-flux measures of net ecosystem productivity across twenty years of observation in a mixed conifer forest. Agric. For. Meteorol. 249, 479–487 (2018).Article 

    Google Scholar 
    Luo, T. X., Li, M. C. & Luo, J. Seasonal variations in leaf δ13C and nitrogen associated with foliage turnover and carbon gain for a wet subalpine fir forest in the Gongga Mountains, eastern Tibetan Plateau. Ecol. Res. 26, 253–263 (2011).CAS 
    Article 

    Google Scholar 
    Kobe, R. K., Lepczyk, C. A. & Iyer, M. Resorption efficiency decreases with increasing green leaf nutrients in a global data set. Ecology 86, 2780–2792 (2005).Article 

    Google Scholar 
    Vergutz, L., Manzoni, S., Porporato, A., Novais, R. F. & Jackson, R. B. Global resorption efficiencies and concentrations of carbon and nutrients in leaves of terrestrial plants. Ecol. Monogr. 82, 205–220 (2012).Article 

    Google Scholar 
    Holmes, R. L. Computer-assisted quality control in tree-ring dating and measurement. Tree-Ring Bull. 43, 69–78 (1983).
    Google Scholar 
    Cook, E. R. & Kairiukstis, L. A. Methods of Dendrochronology: Applications in the Environmental Sciences (Kluwer Academic Publishers, 1990).Editorial Board of Vegetation Map of China, Chinese Academy of Sciences. Vegetation Atlas of China (Science Press, 2001). More

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    Reference database of teeth images from the Family Bovidae

    Fossil remains from the Family Bovidae, such as antelopes and buffalo, are frequently used to reconstruct past environments1,2,3. Bovids reflect distinct ecological adaptations in terms of diet, habitat, water dependence, and seasonal migrations that vary according to their respective ecological niches. Widespread cooling in the late Miocene led to a major adaptive radiation of the bovids, and increasingly they began to exploit more open environments4,5,6. Thus, by approximately 4 Ma, bovids came to dominate the African fauna, replacing the previously abundant suids7,8,9. The current distribution of bovids extends across the African continent in myriad environments that differ significantly in proportions of wood and grass cover.The importance of bovid remains to paleoanthropological research was established initially by Broom10,11 and Wells and Cooke12. This dependence has been expanded and now ranges from paleodietary studies and evolutionary trends to hominin behavioral patterns13,14,15. In addition, several studies have demonstrated that changes in the relative abundance of bovid taxa reflected in fossil assemblages are indicative of fluctuations in environmental conditions, as bovids appear to be particularly responsive to environmental changes16,17,18.Bovid teeth, in particular isolated teeth, make up a majority of the southern African fossil record. Thus, bovid teeth, coupled with their ecological tendencies, are important sources of information for reconstructing the paleoenvironments associated with the fossil hominins. Taxonomic identification of fossil bovid teeth, however, is often problematic; biasing factors such as age and degree of wear complicate identifications and often result in considerable overlap in the shape and size of teeth. Traditionally, researchers rely upon modern and fossil comparative collections to identify isolated bovid teeth. However, researchers are somewhat limited by travel and the specific type and number of bovids housed at each institution. Here, we present B.O.V.I.D. (Bovidae Occlusal Visual IDentification) which is a repository of images of the occlusal surface of bovid teeth (~3900). The purpose of the database is to allow researchers to visualize a large sample of teeth from different tribes, genera, and species. The sample includes the three upper and three lower molars in multiple states of wear from the seven most common tribes in the southern African fossil record and the twenty most common species from those tribes. This design will help researchers see the natural variation that exists within a specific tooth type of a taxon and, with the current sample, help taxonomically identify extant and fossil teeth with modern counterparts. More

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    Routes of soil microbiome dispersal

    Dispersal is assumed to contribute to microbiome composition and function; however, it is difficult to measure. Walters et al. now set out a 6-month experiment looking at different dispersal routes of environmental microorganisms to the surface soil layer. They set up different ‘traps’, either glass slides or freshly cut grass, to determine the number, identity and function of incoming microorganisms. The traps ‘recorded’ dispersal through air, from plants and their litter, or from below through the decomposing litter and bulk soil. This was achieved by placing the traps either on a pedestal, closing them off at the bottom or leaving them open, respectively. The authors found that the overall dispersal rate was low, with little influence of the route, with only 0.5% incoming bacterial cells per day compared with the number of resident cells. However, the dispersal routes did influence microbiome composition, at least if from above and close to the surface. Finally, without dispersal, the initial decomposition of the cut grass was slower.
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    Impact of squid predation on juvenile fish survival

    Bailey, K. M. & Houde, E. D. Predation on eggs and larvae of marine fishes and the recruitment problem. Adv. Mar. Biol. 25, 1–83. https://doi.org/10.1016/S0065-2881(08)60187-X (1989).Article 

    Google Scholar 
    Houde, E. D. Fish early life dynamics and recruitment variability. Am. Fish. Soc. Symp. 2, 17–29 (1987).ADS 

    Google Scholar 
    Anderson, J. T. A review of size dependent survival during pre-recruit stages of fishes in relation to recruitment. J. Northw. Atl. Fish. Sci. 8, 55–66. https://doi.org/10.2960/J.v8.a6 (1988).Article 

    Google Scholar 
    McCarthy, I. D. Temporal repeatability of relative standard metabolic rate in juvenile Atlantic salmon and its relation to life history variation. J. Fish Biol. 57, 224–238. https://doi.org/10.1111/j.1095-8649.2000.tb00788.x (2000).Article 

    Google Scholar 
    Biro, P. A. & Stamps, J. A. Do consistent individual differences in metabolic rate promote consistent individual differences in behavior?. Trends Ecol. Evol. 25, 653–659. https://doi.org/10.1016/j.tree.2010.08.003,Pubmed:20832898 (2010).Article 
    PubMed 

    Google Scholar 
    Endler, J. A. Natural Selection in the Wild (Princeton Univ. Pr., 1986).Meekan, M. G. & Fortier, L. Selection for fast growth during the larval life of Atlantic cod Gadus morhua on the Scotian Shelf. Mar. Ecol. Prog. Ser. 137, 25–37. https://doi.org/10.3354/meps137025 (1996).ADS 
    Article 

    Google Scholar 
    Gilly, W. F. et al. Vertical and horizontal migrations by the jumbo squid Dosidicus gigas revealed by electronic tagging. Mar. Ecol. Prog. Ser. 326, 1–17 (2006).ADS 
    Article 

    Google Scholar 
    Watanabe, H., Kubodera, T., Moku, M. & Kawaguchi, K. Diel vertical migration of squid in the warm core ring and cold water masses in the transition region of the western North Pacific. Mar. Ecol. Prog. Ser. 315, 187–197. https://doi.org/10.3354/meps315187 (2006).ADS 
    Article 

    Google Scholar 
    Phillips, K. L., Jackson, G. D. & Nichols, P. D. Predation on myctophids by the squid Moroteuthis ingens around Macquarie and Heard Islands: stomach contents and fatty acid analyses. Mar. Ecol. Prog. Ser. 215, 179–189. https://doi.org/10.3354/meps215179 (2001).ADS 
    CAS 
    Article 

    Google Scholar 
    Field, J. C., Baltz, K., Phillips, A. J. & Walker, W. A. Range expansion and trophic interactions of the jumbo squid, Dosidicus gigas, in the California Current. CalCOFI Rep. 48, 131–146 (2007).
    Google Scholar 
    Ellis, T. & Gibson, R. N. Size-selective predation of 0-group flatfishes on a Scottish coastal nursery ground. Mar. Ecol. Prog. Ser. 127, 27–37. https://doi.org/10.3354/meps127027 (1995).ADS 
    Article 

    Google Scholar 
    Takasuka, A., Aoki, I. & Oozeki, Y. Predator-specific growth-selective predation on larval Japanese anchovy Engraulis japonicus. Mar. Ecol. Prog. Ser. 350, 99–107. https://doi.org/10.3354/meps07158 (2007).ADS 
    Article 

    Google Scholar 
    Tucker, S., Hipfner, J. M. & Trudel, M. Size- and condition-dependent predation: A seabird disproportionately targets substandard individual juvenile salmon. Ecology 97, 461–471. https://doi.org/10.1890/15-0564.1,Pubmed:27145620 (2016).Article 
    PubMed 

    Google Scholar 
    Rodhouse, P. G. & Nigmatullin, C. M. Role as consumers. Phil. Trans. R. Soc. Lond. B 351, 1003–1022. https://doi.org/10.1098/rstb.1996.0090 (1996).ADS 
    Article 

    Google Scholar 
    Hunsicker, M. E. & Essington, T. E. Size-structured patterns of piscivory of the longfin inshore squid (Loligo pealeii) in the mid-Atlantic continental shelf ecosystem. Can. J. Fish. Aquat. Sci. 63, 754–765. https://doi.org/10.1139/f05-258 (2006).Article 

    Google Scholar 
    Hunsicker, M. E. & Essington, T. E. Evaluating the potential for trophodynamic control of fish by the longfin inshore squid (Loligo pealeii) in the northwest Atlantic Ocean. Can. J. Fish. Aquat. Sci. 65, 2524–2535. https://doi.org/10.1139/F08-154 (2008).Article 

    Google Scholar 
    Wang, K. Y., Liao, C. H. & Lee, K. T. Population and maturation dynamics of the swordtip squid (Photololigo edulis) in the southern East China Sea. Fish. Res. 90, 178–186. https://doi.org/10.1016/j.fishres.2007.10.015 (2008).Article 

    Google Scholar 
    Sassa, C., Yamamoto, K., Tsukamoto, Y., Konishi, Y. & Tokimura, M. Distribution and migration of age-0 jack mackerel (Trachurus japonicus) in the East China and Yellow Seas, based on seasonal bottom trawl surveys. Fish. Oceanogr. 18, 255–267. https://doi.org/10.1111/j.1365-2419.2009.00510.x (2009).Article 

    Google Scholar 
    Tokai, T., Shiode, D., Sakai, T. & Yoda, M. Codend selectivity in the East China Sea of a trawl net with the legal minimum mesh size. Fish. Sci. 85, 19–32. https://doi.org/10.1007/s12562-018-1270-x (2019).CAS 
    Article 

    Google Scholar 
    Sassa, C. & Konishi, Y. Vertical distribution of jack mackerel Trachurus japonicus larvae in the southern part of the East China Sea. Fish. Sci. 72, 612–619. https://doi.org/10.1111/j.1444-2906.2006.01191.x (2006).CAS 
    Article 

    Google Scholar 
    Takahashi, M., Sassa, C. & Tsukamoto, Y. Growth-selective survival of young jack mackerel Trachurus japonicus during transition from pelagic to demersal habitats in the East China Sea. Mar. Biol. 159, 2675–2685. https://doi.org/10.1007/s00227-012-2025-3 (2012).Article 

    Google Scholar 
    Ishida, K. Feeding ecology of swordtip squid (Loligo edulis). Rep. Shimane Pref. Fish. Exp. Stan. 3, 31–35 (1981) (in Japanese).
    Google Scholar 
    Tashiro, M., Tokunaga, T., Machida, S. & Takata, J. Distribution of a squidfish, Loliogo edulis HOYLE, in the East China Sea. Bull. Nagasaki Pref. Inst. Fish. 7, 21–30 (1981) (in Japanese).
    Google Scholar 
    Jennings, S. & Warr, K. J. Smaller predator-prey body size ratios in longer food chains. Proc. Biol. Sci. 270, 1413–1417. https://doi.org/10.1098/rspb.2003.2392 (2003).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Barnes, C., Maxwell, D., Reuman, D. C. & Jennings, S. Global patterns in predator-prey size relationships reveal size dependency of trophic transfer efficiency. Ecology 91, 222–232. https://doi.org/10.1890/08-2061.1 (2010).Article 
    PubMed 

    Google Scholar 
    Cabana, G. & Rasmussen, J. B. Modelling food chain structure and contaminant bioaccumulation using stable nitrogen isotopes. Nature 372, 255–257. https://doi.org/10.1038/372255a0 (1994).ADS 
    CAS 
    Article 

    Google Scholar 
    Castilla, A. C., Hernández-Urcera, J., Gouranguine, A., Guerra, Á. & Cabanellas-Reboredo, M. Predation behaviour of the European squid Loligo vulgaris. J. Ethol. 38, 311–322. https://doi.org/10.1007/s10164-020-00652-4 (2020).Article 

    Google Scholar 
    Fiorito, G. et al. Guidelines for the Care and Welfare of Cephalopods in Research–A consensus based on an initiative by CephRes, FELASA and the Boyd Group. Lab. Anim. 49, 1–90. https://doi.org/10.1177/0023677215580006la.sagepub.com (2015).Article 
    PubMed 

    Google Scholar 
    Percie du Sert, N. et al. Reporting animal research: Explanation and elaboration for the ARRIVE guidelines 2.0. PLoS Biol. 18, e3000411 (2020). https://doi.org/10.1371/journal.pbio.3000411Campana, S. E. How reliable are growth back-calculations based on otoliths?. Can. J. Fish. Aquat. Sci. 47, 2219–2227. https://doi.org/10.1139/f90-246 (1990).Article 

    Google Scholar 
    Xie, S. et al. Growth and morphological development of sagittal otoliths of larval and early juvenile Trachurus japonicus. J. Fish Biol. 66, 1704–1719. https://doi.org/10.1111/j.0022-1112.2005.00717.x (2005).Article 

    Google Scholar 
    Yasui, T. & Sakurai, Y. Gastric evacuation rate of Todarodes pacificus. Rep. Annu. Meet. Squid Res 32, 55–57 (2005) (in Japanese).
    Google Scholar 
    Šifner, S. K. & Vrgoč, N. Population structure, maturation and reproduction of the European squid, Loligo vulgaris, in the Central Adriatic Sea. Fish. Res. 69, 239–249. https://doi.org/10.1016/j.fishres.2004.04.011 (2004).Article 

    Google Scholar 
    Kono, N., Tsukamoto, Y. & Zenitani, H. RNA:DNA ratio for diagnosis of the nutritional condition of Japanese anchovy larvae Engraulis japonicus during the first-feeding stage. Fish. Sci. 69, 1096–1102. https://doi.org/10.1111/j.0919-9268.2003.00733.x (2003).CAS 
    Article 

    Google Scholar 
    Booman, C., Folkvord, A. & Hunter, J. R. Responsiveness of starved northern anchovy Engraulis mordax larvae to predation attacks by adult anchovy. Fish. Bull. 89, 707–711 (1991).
    Google Scholar 
    Chick, J. H. & Van Den Avyle, M. J. Effects of feeding ration on larval swimming speed and responsiveness to predator attacks: Implications for cohort survival. Can. J. Fish. Aquat. Sci. 57, 106–115. https://doi.org/10.1139/f99-185 (2000).Article 

    Google Scholar 
    Hunsicker, M. E. et al. Functional responses and scaling in predator-prey interactions of marine fishes: Contemporary issues and emerging concepts. Ecol. Lett. 14, 1288–1299. https://doi.org/10.1111/j.1461-0248.2011.01696.x (2011).Article 
    PubMed 

    Google Scholar 
    Chambers, R. C. & Miller, T. J. Evaluating fish growth by means of otolith increment analysis: spectral properties of individual-level longitudinal data in in Recent Developments in Fish Otolith Research (ed. Secor, D. H., Dean, J. M. & Campana, S. E.) 155–175 (University of South Carolina Press, 1995).Mizutani, T. et al. Diel variability in the catch composition of bottom trawl survey in East China Sea. Nippon Suisan Gakkaishi 71, 44–53 (2005). (in Japanese with English abstract). https://doi.org/10.2331/suisan.71.44.Sassa, C., Takahashi, M., Konishi, Y. & Tsukamoto, Y. Interannual variations in distribution and abundance of Japanese jack mackerel Trachurus japonicus larvae in the East China Sea. ICES J. Mar. Sci. 73, 1170–1185. https://doi.org/10.1093/icesjms/fsv269 (2016).Article 

    Google Scholar 
    Takahashi, M., Sassa, C., Nishiuchi, K. & Tsukamoto, Y. Interannual variations in rates of larval growth and development of jack mackerel (Trachurus japonicus) in the East China Sea: Implications for juvenile survival. Can. J. Fish. Aquat. Sci. 73, 155–162. https://doi.org/10.1139/cjfas-2015-0077 (2016).Article 

    Google Scholar 
    Takahashi, M., Sassa, C., Nishiuchi, K. & Tsukamoto, Y. Variability in growth rates of Japanese jack mackerel Trachurus japonicus larvae and juveniles in the East China Sea—effects of temperature and prey abundance in in Kuroshio Current, Physical, Biogeochemical and Ecosystem Dynamics (ed. Nagai, T., Saito, H., Suzuki, K. & Takahashi, M.) 295–307 (Wiley, 2019).Anraku, M. & Azeta, M. The feeding habits of larvae and juveniles of the yellowtail, Seriola quinqueradiata Temminck et Schlegel, associated with floating seaweeds. Bull. Seikai Reg. Fish. Res. Lab 33, 13–45 (1965) (in Japanese with English abstract).
    Google Scholar 
    Villanueva, R., Perricone, V. & Fiorito, G. Cephalopods as predators: a short journey among behavioral flexibilities, adaptations, and feeding habits. Front. Physiol. 8, 598. https://doi.org/10.3389/fphys.2017.00598,Pubmed:28861006 (2017).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Wang, R., Zuo, T. & Wang, K. The Yellow Sea Cold Bottom Water—an oversummering site for Calanus sinicus (Copepoda, Crustacea). J. Plankton Res. 25, 169–183. https://doi.org/10.1093/plankt/25.2.169 (2003).CAS 
    Article 

    Google Scholar 
    Sassa, C., Kitajima, S., Nishiuchi, K. & Takahashi, M. Ontogenetic and inter-annual variation in the diet of Japanese jack mackerel (Trachurus japonicus) juveniles in the East China Sea. J. Mar. Biol. Assoc. U K 99, 525–538. https://doi.org/10.1017/S0025315418000206 (2019).Article 

    Google Scholar 
    Nakazawa, T., Ushio, M. & Kondoh, M. Scale dependence of predator–prey mass ratio: Determinants and applications. Adv. Ecol. Res. 45, 269–302. https://doi.org/10.1016/B978-0-12-386475-8.00007-1 (2011).Article 

    Google Scholar 
    Ohshimo, S., Tanaka, H., Nishiuchi, K. & Yasuda, T. Trophic positions and predator-prey mass ratio of the pelagic food web in the East China Sea and Sea of Japan. Mar. Freshw. Res. 67, 1692–1699. https://doi.org/10.1071/MF15115 (2016).Article 

    Google Scholar 
    Vidal, E. A. G. & Salvador, B. The tentacular strike behavior in squid: functional interdependency of morphology and predatory behaviors during ontogeny. Front. Physiol. 10, 1558. https://doi.org/10.3389/fphys.2019.01558 (2019).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Doubleday, Z. A. et al. Global proliferation of cephalopods. Curr. Biol. 26, R406–R407. https://doi.org/10.1016/j.cub.2016.04.002 (2016).CAS 
    Article 
    PubMed 

    Google Scholar 
    Overholtz, W. J., Link, J. S. & Suslowicz, L. E. Consumption of important pelagic fish and squid by predatory fish in the northeastern USA shelf with some fishery comparisons. ICES J. Mar. Sci. 57, 1147–1159. https://doi.org/10.1006/jmsc.2000.0802 (2000).Article 

    Google Scholar 
    Montevecchi, W. A. & Myers, R. A. Prey harvests of seabirds reflect pelagic fish and squid abundance on multiple spatial and temporal scales. Mar. Ecol. Prog. Ser. 117, 1–9. https://doi.org/10.3354/meps117001 (1995).ADS 
    Article 

    Google Scholar  More

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    Reply to: No new evidence for an Atlantic eels spawning area outside the Sargasso Sea

    The Sargasso Sea has long been considered as the spawning area for Atlantic eels, despite the absence of direct observations after more than a hundred years of the survey. We proposed a new insight on the location of Atlantic eels spawning areas eastward of the Sargasso Sea at the intersection between the Mid-Atlantic Ridge and the oceanic fronts1. Our hypothesis is based on a body of corroborating cues from literature. We suggested that European silver eels converge towards the Azores whatever their departure point from Europe and Northern Africa, then they follow the Mid-Atlantic Ridge south westerly until they reach oceanographic fronts where temperature and depths are favourable for reproduction. These orientation behaviours are potentially based on magnetic fields and odours that might be generated by the Mid-Atlantic Ridge volcanic activity and detected by eels during their diel vertical movements. The first favourable meeting point is then located at the crossing between the Mid-Atlantic Ridge and the oceanic thermic isotherms located around 45° W and 26° N. Our hypothesis is supported by (i) microchemical differences between the core of otoliths extracted from leptocephali collected in the Sargasso Sea and from glass eels collected across Europe suggesting that glass eels hatch in different chemical environments than leptocephali (ii) an asymmetric genetic introgression between American and European eels2 suggesting that the overlapping spawning areas favour transport of hybrids towards northern Europe rather than to America and to southern Europe. This supports the possible existence of several distinct spawning areas, where currents favour transport either westward (American eel), north eastward (hybrids and European eels) or eastward (European eels). To test this hypothesis, we developed a transport model and compared the dispersion dynamics of virtual leptocephali released from the Sargasso Sea and from above the Mid-Atlantic Ridge. The transport models showed that virtual eels released from the Mid-Atlantic Ridge reached Europe and America following similar patterns than those released from the Sargasso Sea thus supporting the Mid-Atlantic Ridge spawning hypothesis.Hanel et al.3 have raised several concerns, one of which being that “microchemical evidence was the only was the major argument supporting the Mid-Atlantic Ridge hypothesis”. This was their start point of a critical rebuttal of our findings to question our hypothesis. Instead, we consider that our regrettable error does not fundamentally contradict the possibility that eels do indeed successfully spawn outside the so-called Sargasso Sea.(Comment 1) The importance of seamounts as orientation and navigation cues towards a spawning area was hypothesized, no clear mechanism is proposed for how the migrating eels can detect the ridge.(Response 1) Our Hypothesis does not state that eels find a kind of shallow seamount where they spawn. Instead, we propose that orientation of silver eels during their spawning migration could be based on a combination of behavioural mechanisms including geomagnetism, odours, temperature and salinity gradients4,5,6,7,8. These environmental cues and related gradients are strongly controlled or influenced by the topography of the oceanic floor. The Mid-Atlantic Ridge and the Mariana areas have similarities with ridges and seamount chains oriented perpendicularly to temperature and salinity fronts surrounded by deep abyssal plains. Our Mid-Atlantic Ridge hypothesis proposed that Atlantic eels could use similar signposts as Japanese eel, which hatch near the Mariana Ridge9. Indeed, as for the Japanese eels, the orientation mechanism that lead Atlantic eels from the growth areas to the ridge are not understood, but the empirical observations from Righton et al.10 suggest that eels converge towards the Azores whatever their release point across Europe and that their diel vertical migration takes them down to 500–1000 m every day. The reasons for this behaviour are not elucidated, but since they cost energy, they are likely compensated by advantages such as orientation together with predator avoidance and sexual maturation11,12,13. Following our hypothesis, eels search for orientation cues during DVM. The geomagnetic fields are suggested to provide detectable information for silver eels on their oceanic spawning migration14. However, whether magnetic characteristics of the Mid-Atlantic ridge may provide detectable orientation cues still needs to be documented. Similarly, the existence of detectable odours that might be generated by the tectonic activity and hydrodynamics of the Mid-Atlantic ridge and serve as orientation cues for eels is still unknown. Hydrodynamic mesoscale turbulence and vertical flows have been shown to be generated along the Mid-Atlantic Ridge15, which we propose eels might be able to detect. There are no well supported spawning areas of freshwater eels other than A. japonica and one north Pacific population of A. marmorata. The spawning areas of the other species remain unknown. In the south west Indian Ocean, spawning areas of 3 species (A. mossambica, A. marmorata and A. bicolor) were proposed on the east of the Mascarene Ridge with a similar topography (although shallower) than along the Mid-Atlantic Ridge and the Mid-Pacific ridge and seamounts16,17. Inaccurate spawning areas were also proposed for the South Pacific A. diffenbachii between Fiji, New Caledonia and New Zealand; in the vicinity of a number of oceanic ridges and trenches18 that may also serve as landmarks. Because all eel species studied on their spawning migration show similar diel vertical migration behaviours, it is likely that common orientation mechanisms could lead to detection of oceanographic variability related to the topography of the sea floor and related geomagnetism, local hydrodynamic turbulence and odour caused by vertical currents. This kind of oceanic landscape (chains of seamounts) occurs on narrow areas which strongly increase the meeting probability of spawners searching for partners and favourable spawning places.(Comment 2) Drift simulation with departures from the Mid-Atlantic Ridge and from the Sargasso Sea showed similar results. This is not surprising since the modelling of larval drift seems essentially just to reflect the slow westward drift prevailing both in the Sargasso Sea and Mid-Atlantic Ridge areas. The assumption of using the intersection of the Mid-Atlantic Ridge by the two thermal fronts as presumed spawning places seems to have little basis. There is no indication neither of one nor two temperature fronts at depths where leptocephali are found along a 45  W latitudinal section in the middle of the Mid-Atlantic Ridge area.(Response 2) We agree with the comments that the similar distributions between the departure from the Sargasso Sea and the Mid-Atlantic Ridge are expected, as they mainly reflect the ocean circulation. This is also what we wanted to address, if different departures could lead to similar distributions, either Sargasso Sea or Mid-Atlantic Ridge could be candidates for the spawning area. We also agree that many eel larvae were collected at the two fronts in the Sargasso Sea, but not near the Mid-Atlantic Ridge. However, if the departure from the Sargasso Sea and the Mid-Atlantic Ridge led to similar distributions after 720 days, they were not the result of westward current, but the cause of a relatively quiet ocean in the Sargasso Sea and its surrounding area (i.e. Fig. 1). Without prevailing current, small larvae were mainly transported by ocean dispersion, and would later be transported by the major currents that lie in the north (Azores Current), south (North Equatorial Current), and west (Gulf Stream) of the Sargasso Sea. So, we compared departures at 100 km from west and east of the Mid-Atlantic Ridge. Subtle differences occurred (figure below). V-larvae departing from the east of the ridge dispersed relatively less northward compared to larvae released 100 km at the west of the ridge (this figure and original paper). Secondly v-larvae released at the south east of the study area (red dots on the figure, right panel) disperse relatively less towards the Caribbean Sea than when released at the west (red dots of the figure, left panel). This suggests that the dispersion of European eel larvae is optimum in an area comprised between the Mid-Atlantic Ridge and the Sargasso Sea (our previous simulation in the original paper), and declines eastward of the Mid-Atlantic Ridge (present simulation below).Figure 1Distribution of v-larvae released departure at the west (left) and east (right) of Mid-Atlantic Ridge. The tracking method is the same as described in the paper, v-larvae were release within 100 km west and east of the ridge.Full size imageHanel et al. also indicate that the convergence front weakens from West, in the Sargasso Sea, to East above the ridge. We consider that this constitutes an additional argument that the Mid-Atlantic Ridge is indeed at the edge of the convergence zone at the first area of the Atlantic Ocean where currents and temperatures are favourable for reproduction of eels.(Comment 3) Elevated manganese (Mn) concentrations in the otolith cores of glass eels as a hint for successful spawning only in areas with volcanic activity based on observations of Martin et al.18. However, the results from Martin et al.19 were entirely misread, resulting in a mis-interpretation of the data.(Response 3) Based on Martin et al.19, we stated that higher concentrations of Mn were found in glass eels’ otoliths collected across European estuaries than in otoliths of leptocephali larvae sampled in the Sargasso Sea. We suggested that this was the indication that glass eels were born in areas where volcanic activity produces high loads of Mn and other metals. This formed one of the arguments supporting our hypothesis that Atlantic eels could spawn in the proximity to the Mid-Atlantic Ridge. Thanks to Reinhold Hanel and colleagues, we realized that Martin et al.19 in fact showed that concentrations of Mn were higher in the center of otoliths of leptocephali larvae than in those of glass eels collected along the European coasts. Consequently, this argument is no longer valid. Nonetheless, otolith microchemical fingerprints significantly differ between young leptocephali sampled in the Sargasso Sea in 2008 and glass eels collected in Europe, hence suggesting that they have distinct spawning areas19. These authors indicated that the incorporation of elements from the environment to the otoliths needed to be better understood, namely as stated by Hanel et al., because of physiological and environmental control such as temperature and salinity. In addition, they outline that the dynamics of elements from the sea floor to the subsurface is not well understood and could be slow. We totally share these conclusions that are well known facts, and that simply confirm that environmental characteristics (trace element concentrations, salinity and temperature) are responsible for the elemental signature of the central part of otoliths. Hanel et al. also state that the composition of otoliths are also controlled by elemental maternal transfer from the egg to the otoliths. We are aware of this fact that has been shown is other fish species. However, the laser ablations were performed after the first feed check where maternal influence is reduced and is overruled by environment18. This supports the idea that glass eels collected in Europe do not originate from the same environments as leptocephali captured in the Sargasso Sea.(Comment 4) Insufficient sampling efforts and a limited area coverage of recent surveys as a possible reason for “false negative” observations along the Mid-Atlantic Ridge. This statement does not recognize the investigations by Johannes Schmidt as well as earlier and later surveys in the Mid-Atlantic Ridge area. The ICES “Eggs and Larvae database” records a total of 48 A anguilla leptocephali caught within the area 15–29 N and 43–48 W, at 10 stations between 1913 and 1970.Thanks for pointing out that larvae have been caught near the Mid-Atlantic Ridge, in which larvae were not newly hatched because of their relatively large size (23–45 mm). Ocean currents were weak and could flow either eastward or westward in this region, indicating that the spawning could occur from west to east of the ridge, without considering swimming. Note that ocean currents could change directions, so that it was also possible to spawn near the ridge after been transported eastward and westward.The observed distribution of small larvae  More