More stories

  • in

    Empirical support for sequential imprinting during downstream migration in Atlantic salmon (Salmo salar) smolts

    Lucas, M. & Baras, E. Migration of Freshwater Fishes (Wiley, 2008).
    Google Scholar 
    Milner-Gulland, E. J., Fryxell, J. M. & Sinclair, A. R. Animal Migration: A Synthesis (Oxford University Press, 2011).Book 

    Google Scholar 
    Hendry, A. P. et al. The evolution of philopatry and dispersal. Evolution Illuminated. Salmon and Their Relatives, 52–91 (2004).Greenwood, P. J. Mating systems, philopatry and dispersal in birds and mammals. Anim. Behav. 28, 1140–1162 (1980).Article 

    Google Scholar 
    Klemetsen, A. et al. Atlantic salmon Salmo salar L., brown trout Salmo trutta L. and Arctic charr Salvelinus alpinus (L): A review of aspects of their life histories. Ecol. Freshwater Fish 12, 1–59. https://doi.org/10.1034/j.1600-0633.2003.00010.x (2003).Article 

    Google Scholar 
    VÄHÄ, J. P., Erkinaro, J., Niemelä, E. & Primmer, C. R. Life-history and habitat features influence the within-river genetic structure of Atlantic salmon. Mol. Ecol. 16, 2638–2654 (2007).Article 

    Google Scholar 
    Hansen, L. P., Jonsson, N. & Jonsson, B. Oceanic migration in homing Atlantic salmon. Anim. Behav. 45, 927–941 (1993).Article 

    Google Scholar 
    Keefer, M. L. & Caudill, C. C. Homing and straying by anadromous salmonids: A review of mechanisms and rates. Rev. Fish Biol. Fish. 24, 333–368 (2014).Article 

    Google Scholar 
    Neave, F. Ocean migrations of Pacific salmon. J. Fish. Board Canada 21, 1227–1244 (1964).Article 

    Google Scholar 
    Lohmann, K. J. & Lohmann, C. M. There and back again: Natal homing by magnetic navigation in sea turtles and salmon. J. Exp. Biol. 222, 184077 (2019).Article 

    Google Scholar 
    Scholz, A. T., Horrall, R. M., Cooper, J. C. & Hasler, A. D. Imprinting to chemical cues: The basis for home stream selection in salmon. Science 192, 1247–1249 (1976).ADS 
    CAS 
    Article 

    Google Scholar 
    Hasler, A. D. & Wisby, W. J. Discrimination of stream odors by fishes and its relation to parent stream behavior. Am. Nat. 85, 223–238 (1951).CAS 
    Article 

    Google Scholar 
    Harden Jones, F. R. Fish Migration. (Edward Arnold, 1968).Donaldson, L. R. & Allen, G. H. Return of silver salmon, Oncorhynchus kisutch (Walbaum) to point of release. Trans. Am. Fish. Soc. 87, 13–22 (1958).Article 

    Google Scholar 
    Quinn, T. P. A review of homing and straying of wild and hatchery-produced salmon. Fish. Res. 18, 29–44 (1993).Article 

    Google Scholar 
    Hansen, L. P. & Jonsson, B. Homing of Atlantic salmon: Effects of juvenile learning on transplanted post-spawners. Animal Behav. 47, 220 (1994).Article 

    Google Scholar 
    Nevitt, G. A., Dittman, A. H., Quinn, T. P. & Moody, W. J. Evidence for a peripheral olfactory memory in imprinted salmon. Proc. Natl. Acad. Sci. 91, 4288–4292. https://doi.org/10.1073/pnas.91.10.4288 (1994).ADS 
    CAS 
    Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Dittman, A. H., Quinn, T. P. & Nevitt, G. A. Timing of imprinting to natural and artificial odors by coho salmon (Oncorhynchus kisutch). Can. J. Fish. Aquat. Sci. 53, 434–442 (1996).Article 

    Google Scholar 
    Morin, P.-P., Dodson, J. J. & Doré, F. Y. Cardiac responses to a natural odorant as evidence of a sensitive period for Olfactory imprinting in young Atlantic Salmon, Salmo salar. Can. J. Fish. Aquat. Sci. 46, 122–130. https://doi.org/10.1139/f89-016 (1989).Article 

    Google Scholar 
    Gunnerød, T., Hvidsten, N. & Heggberget, T. Open sea releases of Atlantic salmon smolts, Salmo salar, in central Norway, 1973–83. Can. J. Fish. Aquat. Sci. 45, 1340–1345 (1988).Article 

    Google Scholar 
    Heggberget, T. G., Hvidsten, N. A., Gunnerød, T. B. & Møkkelgjerd, P. I. Distribution of adult recaptures from hatchery-reared Atlantic salmon (Salmo salar) smolts released in and off-shore of the River Surna, western Norway. Aquaculture 98, 89–96 (1991).Article 

    Google Scholar 
    Solazzi, M. F., Nickelson, T. E. & Johnson, S. L. Survival, contribution, and return of hatchery Coho Salmon (Oncorhynchus kisutch) released into freshwater, Estuarine, and Marine environments. Can. J. Fish. Aquat. Sci. 48, 248–253. https://doi.org/10.1139/f91-034 (1991).Article 

    Google Scholar 
    Sturrock, A. M. et al. Eight decades of hatchery salmon releases in the California Central Valley: Factors influencing straying and resilience. Fisheries 44, 433–444 (2019).Article 

    Google Scholar 
    Chapman, D. et al. Homing in sockeye and Chinook salmon transported around part of their smolt migration route in the Columbia River. North Am. J. Fish. Manag. 17, 101–113 (1997).Article 

    Google Scholar 
    Bond, M. H. et al. Combined effects of barge transportation, river environment, and rearing location on straying and migration of adult Snake River fall-run Chinook Salmon. Trans. Am. Fish. Soc. 146, 60–73. https://doi.org/10.1080/00028487.2016.1235614 (2017).Article 

    Google Scholar 
    Hesthagen, T., Larsen, B. M. & Fiske, P. Liming restores Atlantic salmon (Salmo salar) populations in acidified Norwegian rivers. Can. J. Fish. Aquat. Sci. 68, 224–231. https://doi.org/10.1139/f10-133 (2011).Article 

    Google Scholar 
    Haraldstad, T., Höglund, E., Kroglund, F., Haugen, T. O. & Forseth, T. Common mechanisms for guidance efficiency of descending A tlantic salmon smolts in small and large hydroelectric power plants. River Res. Appl. https://doi.org/10.1002/rra.3360 (2018).Article 

    Google Scholar 
    Thorstad, E. B., Økland, F., Kroglund, F. & Jepsen, N. Upstream migration of Atlantic salmon at a power station on the River Nidelva Southern Norway. Fish. Manag. Ecol. 10, 139–146. https://doi.org/10.1046/j.1365-2400.2003.00335.x (2003).Article 

    Google Scholar 
    Fjeldstad, H.-P., Barlaup, B. T., Stickler, M., Gabrielsen, S.-E. & Alfredsen, K. Removal of weirs and the influence on physical habitat for salmonids in a Norwegian river. River Res. Appl. 28, 753–763. https://doi.org/10.1002/rra.1529 (2012).Article 

    Google Scholar 
    Wolf, P. a trap for the capture of fish and other organisms moving downstream. Trans. Am. Fish. Soc. 80, 41–45. https://doi.org/10.1577/1548-8659(1950)80[41:ATFTCO]2.0.CO;2 (1951).Article 

    Google Scholar 
    Johansen, K. When the Solution Becomes a Problem: A Study of Smolt Migration in the Regulated River of Nidelva in Agder county, Norway. MSc thesis, University of Agder, (2021).R: A language and environment for statistical computing (R Foundation for Statistical Computing, Vienna, Austria, 2016).Akaike, H. A new look at the statistical model identification. IEEE Trans. Autom. Control 19, 716–723. https://doi.org/10.1109/TAC.1974.1100705 (1974).ADS 
    MathSciNet 
    Article 
    MATH 

    Google Scholar 
    Anderson, D. R. Model-Based Interference in the Life Sciences: A Primer on Evidence (Springer, 2008).Book 

    Google Scholar 
    Jonsson, B., Jonsson, N. & Hansen, L. P. Does juvenile experience affect migration and spawning of adult Atlantic salmon?. Behav. Ecol. Sociobiol. 26, 225–230 (1990).Article 

    Google Scholar 
    Thorstad, E., Heggberget, T. & Økland, F. Migratory behaviour of adult wild and escaped farmed Atlantic salmon, Salmo salar L., before, during and after spawning in a Norwegian river. Aquac. Res. 29, 419–428 (1998).Article 

    Google Scholar 
    Aarestrup, K. et al. Prespawning migratory behaviour and spawning success of sea-ranched Atlantic salmon, Salmo salar L., in the River Gudenaa, Denmark. Fish. Manag. Ecol. 7, 387–400 (2000).Article 

    Google Scholar 
    Thorstad, E. B. et al. Factors affecting the within-river spawning migration of Atlantic salmon, with emphasis on human impacts. Rev. Fish Biol. Fish. 18, 345–371 (2008).Article 

    Google Scholar 
    Silva, A. T. et al. The future of fish passage science, engineering, and practice. Fish Fish. 19, 340 (2017).Article 

    Google Scholar 
    Čada, G. F. The development of advanced hydroelectric turbines to improve fish passage survival. Fisheries 26, 14–23 (2001).Article 

    Google Scholar 
    Quaranta, E. et al. Hydropower case study collection: Innovative Low head and ecologically improved turbines, hydropower in existing infrastructures, hydropeaking reduction: Digitalization and governing systems. Sustainability 12, 8873 (2020).Article 

    Google Scholar 
    Lusardi, R. A. & Moyle, P. B. Two-way trap and haul as a conservation strategy for anadromous salmonids. Fisheries 42, 478–487 (2017).Article 

    Google Scholar 
    Keefer, M. L., Caudill, C. C., Peery, C. A. & Lee, S. R. Transporting juvenile salmon around dams impairs adult migration. Ecol. Appl. 18, 1888–1900. https://doi.org/10.1890/07-0710.1 (2008).Article 
    PubMed 

    Google Scholar 
    Haraldstad, T., Haugen, T. O., Olsen, E. M., Forseth, T. & Höglund, E. Hydropower-induced selection of behavioural traits in Atlantic salmon (Salmo salar). Sci. Rep. 11, 1–9 (2021).Article 

    Google Scholar 
    Waples, R. S. & Hendry, A. P. Special issue: Evolutionary perspectives on salmonid conservation and management. Evolut. Appl. 1, 183–188. https://doi.org/10.1111/j.1752-4571.2008.00035.x (2008).Article 

    Google Scholar 
    Jonsson, B., Jonsson, N. & Hansen, L. P. Atlantic salmon straying from the River Imsa. J. Fish Biol. 62, 641–657. https://doi.org/10.1046/j.0022-1112.2003.00053.x (2003).Article 

    Google Scholar 
    Brown, C. Fish intelligence, sentience and ethics. Anim. Cogn. 18, 1–17 (2015).Article 

    Google Scholar  More

  • in

    A life history model of the ecological and evolutionary dynamics of polyaneuploid cancer cells

    Housman, G. et al. Drug resistance in cancer: An overview. Cancers 6(3), 1769 (2014).PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Vasan, N. Baselga, J. & Hyman, D. M. A View on Drug Resistance in Cancer, 11 (2019).Casás-Selves, M. & Degregori, J. How cancer shapes evolution and how evolution shapes cancer (2011).Dujon, A. M. et al. Identifying key questions in the ecology and evolution of cancer. Evol. Appl. 14, 4 (2021).
    Google Scholar 
    Korolev, K. S., Xavier, J. B. & Gore, J. Turning ecology and evolution against cancer (2014).Merlo, L. M. F., Pepper, J. W., Reid, B. J. & Maley, C. C. Cancer as an evolutionary and ecological process. Nat. Rev. Cancer 6(12), 924–935 (2006).CAS 
    PubMed 
    Article 

    Google Scholar 
    Ujvari, B., Roche, B. & Thomas, F. Ecology and Evolution of Cancer 1st edn. (Academic Press, 2017).
    Google Scholar 
    Brown, R. L. What evolvability really is. Brit. J. Philos. Sci. 65, 3 (2014).MathSciNet 
    Article 

    Google Scholar 
    Crother, B. I. & Murray, C. M. Early usage and meaning of evolvability. Ecol. Evol. 9, 7 (2019).Article 

    Google Scholar 
    Pigliucci, M. Is evolvability evolvable? (2008).Sniegowski, P. D. & Murphy, H. A. Evolvability (2006).Bukkuri, A. & Brown, J. S. Evolutionary game theory: Darwinian dynamics and the G function approach. MDPI Games 12(4), 1–19 (2021).MathSciNet 
    MATH 

    Google Scholar 
    Fisher, R. A. The Genetical Theory of Natural Selection (The Clarendon Press, 1930).MATH 
    Book 

    Google Scholar 
    Li, C. C. Fundamental theorem of natural selection. Nature 214(5087), 4 (1967).Article 

    Google Scholar 
    Vincent, T. L. & Brown, J. S. Evolutionary Game Theory, Natural Selection, and Darwinian Dynamics (Cambridge University Press, 2005).MATH 
    Book 

    Google Scholar 
    Hanahan, D. & Weinberg, R. A. The next generation. Leading edge review hallmarks of cancer. Cell 144, 646–674 (2011).CAS 
    PubMed 
    Article 

    Google Scholar 
    Pienta, K. J. et al. Cancer cells employ an evolutionarily conserved polyploidization program to resist therapy. Semin. Cancer Biol. 20, 1–15 (2020).
    Google Scholar 
    Virchow, R. As based upon physiological and pathological histology: Cellular pathology. Nutr. Rev. 47(1), 23–25 (1989).CAS 
    PubMed 
    Article 

    Google Scholar 
    Razmik, M., Bonnie, A. & David, M. Roles of polyploid/multinucleated giant cancer cells in metastasis and disease relapse following anticancer treatment. Cancers 10(4), 4 (2018).
    Google Scholar 
    Amend, S. R. et al. Polyploid giant cancer cells: Unrecognized actuators of tumorigenesis, metastasis, and resistance. Prostate 79(13), 1489–1497 (2019).PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Kuczler, M. D., Olseen, A. M., Pienta, K. J. & Amend, S. R. ROS-induced cell cycle arrest as a mechanism of resistance in polyaneuploid cancer cells (PACCs). Prog. Biophys. Mol. Biol. 20, 3–7 (2021).Article 
    CAS 

    Google Scholar 
    Kostecka, L. G., Pienta, K. J. & Amend, S. R. Polyaneuploid cancer cell dormancy: Lessons from evolutionary phyla. Front. Ecol. Evol. 9, 439 (2021).Article 

    Google Scholar 
    Rajaraman, R., Rajaraman, M. M., Rajaraman, S. R. & Guernsey, D. L. Neosis—-a paradigm of self-renewal in cancer. Cell Biol. Int. 29(12), 1084–1097 (2005).CAS 
    PubMed 
    Article 

    Google Scholar 
    Rajaraman, R., Guernsey, D. L., Rajaraman, M. M. & Rajaraman, S. R. Neosis—a parasexual somatic reduction division in cancer. Int. J. Hum. Genet. 7(1), 29–48 (2007).CAS 
    Article 

    Google Scholar 
    Sundaram, M., Guernsey, D. L., Rajaraman, M. M. & Rajaraman, R. Neosis: A novel type of cell division in cancer. Cancer Biol. Ther. 3(2), 207–218 (2004).CAS 
    PubMed 
    Article 

    Google Scholar 
    Illidge, T. M., Cragg, M. S., Fringes, B., Olive, P. & Erenpreisa, J. A. Polyploid giant cells provide a survival mechanism for p53 mutant cells after DNA damage. Cell Biol. Int. 24(9), 621–633 (2000).CAS 
    PubMed 
    Article 

    Google Scholar 
    Puig, P. E. et al. Tumor cells can escape DNA-damaging cisplatin through DNA endoreduplication and reversible polyploidy. Cell Biol. Int. 32(9), 1031–1043 (2008).CAS 
    PubMed 
    Article 

    Google Scholar 
    Zhang, S. et al. Generation of cancer stem-like cells through the formation of polyploid giant cancer cells. Oncogene 33(1), 116–128 (2014).CAS 
    PubMed 
    Article 

    Google Scholar 
    Comai, L. The advantages and disadvantages of being polyploid. Nat. Rev. Genet. 6(11), 836–846 (2005).CAS 
    PubMed 
    Article 

    Google Scholar 
    Hassel, C., Zhang, B., Dixon, M. & Calvi, B. R. Induction of endocycles represses apoptosis independently of differentiation and predisposes cells to genome instability. Development (Cambridge) 141(1), 112–123 (2014).CAS 
    Article 

    Google Scholar 
    Lee, H. O., Davidson, J. M. & Duronio, R. J. Endoreplication: Polyploidy with purpose. Genes Dev. 23(21), 2461–2477 (2009).CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Basener, W. F. & Sanford, J. C. The fundamental theorem of natural selection with mutations. J. Math. Biol. 76(7), 1589–1622 (2018).MathSciNet 
    PubMed 
    MATH 
    Article 

    Google Scholar 
    Frank, S. A. & Slatkin, M. Fisher’s fundamental theorem of natural selection. Trends Ecol. Evol. 7(3), 92–95 (1992).CAS 
    PubMed 
    Article 

    Google Scholar 
    Lessard, S. Fisher’s fundamental theorem of natural selection revisited. Theor. Popul. Biol. 52(2), 119–136 (1997).MathSciNet 
    CAS 
    PubMed 
    MATH 
    Article 

    Google Scholar 
    Das, P., Mukherjee, S. & Das, P. An investigation on Michaelis–Menten kinetics based complex dynamics of tumor-immune interaction. Chaos Solitons Fractals 1, 28 (2019).MathSciNet 
    CAS 
    MATH 

    Google Scholar 
    Renee Fister, K. & Panetta, J. C. Optimal control applied to competing chemotherapeutic cell-kill strategies. SIAM J. Appl. Math. 63, 6 (2003).MathSciNet 
    MATH 

    Google Scholar 
    López, Á. G., Seoane, J. M. & Sanjuán, M. A. F. Decay dynamics of tumors. PLoS One 11, 6 (2016).
    Google Scholar 
    Pienta, K. J., Hammarlund, E. U., Brown, J. S., Amend, S. R. & Axelrod, R. M. Cancer recurrence and lethality are enabled by enhanced survival and reversible cell cycle arrest of polyaneuploid cells. Proc. Natl. Acad. Sci. U.S.A. 118(7), 2 (2021).Article 
    CAS 

    Google Scholar 
    Pienta, K. J., Hammarlund, E. U., Axelrod, R., Brown, J. S. & Amend, S. R. Poly-aneuploid cancer cells promote evolvability, generating lethal cancer. Evol. Appl. 13(7), 1626–1634 (2020).PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Mittal, K. et al. Multinucleated polyploidy drives resistance to Docetaxel chemotherapy in prostate cancer. Br. J. Cancer 116, 9 (2017).Article 
    CAS 

    Google Scholar 
    Cunningham, J. J., Bukkuri, A., Gatenby, R., Brown, J. S. & Gillies, R. J. Coupled source-sink habitats produce spatial and temporal variation of cancer cell molecular properties as an alternative to branched clonal evolution and stem cell paradigms. Front. Ecol. Evol. 9, 472 (2021).Article 

    Google Scholar 
    Fujiwara, M. & Diaz-Lopez, J. Constructing stage-structured matrix population models from life tables: Comparison of methods. PeerJ 5(10), 1–27 (2017).
    Google Scholar 
    Kendall, B. E. et al. Persistent problems in the construction of matrix population models. Ecol. Model. 406, 33–43 (2019).Article 

    Google Scholar 
    Law, R. & Edley, M. T. Transient dynamics of populations with age- and size-dependent vital rates. Ecology 71(5), 1863–1870 (1990).Article 

    Google Scholar 
    Velde, R. V. et al. Resistance to targeted therapies as a multifactorial, gradual adaptation to inhibitor specific selective pressures. Nat. Commun. 11(1), 1–13 (2020).Article 
    CAS 

    Google Scholar 
    Salmina, K. et al. The cancer aneuploidy paradox: In the light of evolution. Genes 10(2), 83 (2019).CAS 
    PubMed Central 
    Article 

    Google Scholar 
    Turajlic, S., Sottoriva, A., Graham, T. & Swanton, C. Resolving genetic heterogeneity in cancer. Nat. Rev. Genet. 20(7), 404–416 (2019).CAS 
    PubMed 
    Article 

    Google Scholar 
    Miller, A. K., Brown, J. S., Enderling, H., Basanta, D. & Whelan, C. J. The evolutionary ecology of dormancy in nature and in cancer. Front. Ecol. Evol. 9, 5 (2021).Article 

    Google Scholar 
    Geiser, F. Hibernation. Curr. Biol. 23(5), R188–R193 (2013).CAS 
    PubMed 
    Article 

    Google Scholar 
    Lyman, C. P. & Chatfield, P. O. Physiology of hibernation in mammals. Physiol. Rev. 35(2), 403–425 (1955).CAS 
    PubMed 
    Article 

    Google Scholar 
    Lin, K. C. et al. The role of heterogeneous environment and docetaxel gradient in the emergence of polyploid, mesenchymal and resistant prostate cancer cells. Clin. Exp. Metas. 36(2), 97–108 (2019).Article 

    Google Scholar 
    Lin, K. C. et al. An: In vitro tumor swamp model of heterogeneous cellular and chemotherapeutic landscapes. Lab Chip 20(14), 2453–2464 (2020).CAS 
    PubMed 
    Article 

    Google Scholar 
    Kawamura, E. et al. Identification of novel small molecule inhibitors of centrosome clustering in cancer cells. Oncotarget 4(10), 1763–1776 (2013).PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Kostecka, L. G. et al. High KIFC1 expression is associated with poor prognosis in prostate cancer. Med. Oncol. 38, 1–9 (2021).Article 
    CAS 

    Google Scholar 
    Sekino, Y. et al. KIFC1 induces resistance to docetaxel and is associated with survival of patients with prostate cancer. Urol. Oncol. Semin. Original Investig. 35(1), 1–8 (2017).Article 

    Google Scholar 
    Xiao, Y. X. & Yang, W. X. KIFC1: A promising chemotherapy target for cancer treatment?. Oncotarget 7(30), 1–9 (2016).
    Google Scholar 
    Law, M. E., Corsino, P. E., Narayan, S. & Law, B. K. Cyclin-dependent kinase inhibitors as anticancer therapeutics. Mol. Pharmacol. 88, 5 (2015).Article 
    CAS 

    Google Scholar 
    Tadesse, S., Caldon, E. C., Tilley, W. & Wang, S. Cyclin-Dependent Kinase 2 Inhibitors in Cancer Therapy: An Update (2019).Zhang, M. et al. CDK inhibitors in cancer therapy, an overview of recent development. Am. J. Cancer Res. 11, 5 (2021).CAS 

    Google Scholar 
    Kostecka, L. G., Pienta, K. J. & Amend, S. R. Lipid droplet evolution gives insight into polyaneuploid cancer cell lipid droplet functions. Med. Oncol. 38(11), 1–10 (2021).Article 
    CAS 

    Google Scholar 
    Strobl, M. A. R. et al. Turnover modulates the need for a cost of resistance in adaptive therapy. Can. Res. 81, 4 (2021).Article 

    Google Scholar 
    West, J., Ma, Y. & Newton, P. K. Capitalizing on competition: An evolutionary model of competitive release in metastatic castration resistant prostate cancer treatment. J. Theor. Biol. 4, 55 (2018).MathSciNet 
    MATH 

    Google Scholar  More

  • in

    A new Cretaceous thyreophoran from Patagonia supports a South American lineage of armoured dinosaurs

    Dinosauria—Owen, 184225,Ornithischia—Seeley, 188726,Thyreophora—Nopcsa, 191527,Jakapil kaniukura gen. et sp. nov. (Figs. 1, 2, 3, 4, Suppl. Figs. 2, 3).Figure 1Holotype of Jakapil kaniukura (MPCA-PV-630), skull bones. (a) Skull bones in right lateral view (dashed contours based on Scelidosaurus10); (b) basisphenoid in left lateral view. af anterior foramen, btp basipterygoid process, bt basal tubera, cp cultriform process, df double foramen, ene external naris edge, jf jugal facet of the maxilla, Mx maxilla, mxe maxillary emargination, Pmx premaxilla, vc Vidian canal, vp ventral process.Full size imageFigure 2Holotype of Jakapil kaniukura (MPCA-PV-630), lower jaw bones. (a) left mandible in lateral view; (b) left mandible in lateral view, interpreted bone contours; (c) left mandible in medial view; (d) left mandible in medial view, interpreted bone contours; (e) right surangular in lateral view (mirrored); (f) transversal section of the posterior half of the left mandible, cranial view; (g) articular bone in occlusal view; (h) predentary bone in occlusal view. A angular, af adductor fossa, Ar articular, Ar (gl) glenoid fossa of the articular, ce coronoid eminence, D dentary, de dentary emargination, dfo dentary foramen, dmp dorsomedial process of the articular, dr dentary rugosities, hi subhorizontal inflection (dashed line), imf internal mandibular fenestra, lp lateral process of the predentary, mc Meckelian canal, Pa prearticular, Pd predentary, rp retroarticular process, S surangular, saf surangular facet for the glenoid articulation, safo surangular foramen (canal), Sp splenial, st surangular tubercle, sy mandibular symphysis, vmc ventral mandibular crest.Full size imageFigure 3Holotype of Jakapil kaniukura (MPCA-PV-630), teeth. Maxillary teeth in labial (a,b) and lingual (c,d); (d) highlight the wear facet) views; dentary teeth in lingual (e,g–j); (h,j) highlight the wear facets) and labial (f) views. dwf dentary tooth wear facet, me prominent mesial edge, mwf maxillary tooth wear facet.Full size imageFigure 4Holotype of Jakapil kaniukura (MPCA-PV-630), postcranial bones. Speculative silhouette showing preserved elements (a); osteoderm distribution is speculative and partial to show non-osteodermal elements); dorsal vertebra elements in dorsal (b), right lateral (c) and anterior (d,e) views; sacral vertebra in left lateral view (f); mid-caudal vertebra in left lateral view (g); fragment of the mid-shaft of a dorsal rib in posterior view (the enlarged, broken posterior edge is highlighted (h); expanded distal ends of two dorsal ribs (i); left scapula in lateral view (j); right scapula in lateral view (k); right coracoid in lateral view (l); left and right humeri in anterior view (m); probable right ulna in lateral view (n); metacarpals, non-ungual and ungual phalanx in dorsal views (o); left femur elements in anterior view (p); proximal end of the right fibula in lateral view (q); distal end of the left tibia in anterior view (r); ischial elements in side view (s); cervical osteoderms in dorsal view (t), flat scutes in dorsal view (u), spine-like osteoderm in side view (v) and ossicle in dorsal view (w). ac acromial crest, aco asymmetrical cervical osteoderm, alp anterolateral process, ap acromial process, at anterior trochanter, bb basal bone, ebr expanded broken rib edge, di diapophysis, dpc deltopectoral crest, ft fourth trochanter, gl glenoid, mc metacarpals, nc neural canal, ncs neurocentral suture, ph non-ungual phalanx, pp pubic peduncle, poz postzygapophyses, rug marginal rugosities, sb scapular blade, sc scute, tp transverse process, uph ungual phalanx.Full size imageEtymologyThe genus, Jakapil (Ja-Kapïl: shield bearer), comes from the ‘gananah iahish’, Puelchean or northern Tehuelchean language. The specific epithet, comprising kaniu (crest) and kura (stone), refers to the diagnostic ventral crest of the mandible, and comes from the Mapudungun language. These languages, currently spoken by more than 200,000 people, have been combined as a tribute to both of the coexisting native populations of North Patagonia, South America.HolotypeMPCA-PV-630 is a partial skeleton of a subadult individual (see Supplementary Information) that preserves fragments of some cranial bones (premaxilla, maxilla and basisphenoid), approximately 15 partial teeth and fragments, a nearly complete left lower jaw plus an isolated surangular, 12 partial vertebral elements, a complete dorsal rib and fifteen rib fragments, a partial coracoid, a nearly complete left scapula, a partial right scapula, two partial humeri, a possible partial right ulna, a complete and a partial metacarpal bone, three ischial and two femoral fragments, the distal end of a right tibia, the proximal end of a right fibula, three pedal phalanges, and more than forty osteoderms.Referred specimensMPCA-PV-371, two partial conical osteoderms.Locality and horizonUpper beds of the Candeleros Formation, early Late Cretaceous (Cenomanian, ~ 94–97 My, see16, and references therein), locality of Cerro Policía, Río Negro Province, North Patagonia, Argentina (Suppl. Fig. 1).DiagnosisJakapil differs from all other thyreophorans in having: a large, ventral crest on the posterior half of the lower jaw, which is composed of the dentary, the angular and the splenial (medially hidden by the crest); a dorsomedially directed process in the short retroarticular process; leaf-shaped tooth crowns with a prominent mesial edge on their labial surface; maxillary and dentary tooth crowns differ from each other in their apical contour, the former being pointed and strongly asymmetrical, and the latter slightly curved distally with a more rounded and less asymmetrical contour; elongated (articular surface almost or completely beyond the posterior centrum face) and slender (width of less than a half postzygapophyses length) postzygapophyses in dorsal vertebrae; a strongly reduced humerus relative to the femur (proximal humeral width smaller than distal femoral width, see Supplementary Information), with a deep proximal fossa distally delimited by a curved ridge; a very large fibula relative to the femur (anteroposterior length of the proximal end almost comparable to the distal width of the femur); flattened and thin disk-like postcranial osteoderms.Summarized descriptionA detailed description of the holotype is provided in the Supplementary Information. Jakapil is a small thyreophoran dinosaur (the subadult holotype is estimated to have been less than 1.5 m in body length and to have weighed 4.5–7 kg; see Supplementary Information, femoral description), with several novelties for a thyreophoran dinosaur.A short skull is suggested by the size of the skull and jaw bones, and the reduced number of dentary tooth positions (eleven), compared with most non-ankylosaurid thyreophorans28,29. The antorbital and mandibular fenestrae seem absent, as in ankylosaurs29 (Fig. 1a; the mandibular fenestra is also absent in Scelidosaurus10). Dentary and maxillary emarginations are present, as usual in ornithischians30 (Fig. 1a). The block-like basisphenoid is strongly similar to that of Scelidosaurus10, with Vidian canals opened posterodorsally to the basipterygoid processes, the basipterygoid processes lateroventrally projected (unlike the anteriorly directed processes of stegosaurs28 and ankylosaurs29), and a strong cultriform process (as in Lesothosaurus31, Thescelosaurus32 and probably Scelidosaurus10; Fig. 1b).Jakapil also bears the first predentary bone (Fig. 2a–d) with a plesiomorphic shape in a thyreophoran. It is subtriangular and quite similar to that of Lesothosaurus31, and externally it is ornamented by sulci and foramina, suggesting the presence of a keratinous beak. A beak is also supported in the edentulous and subtly ornamented preserved part of the premaxilla, as in derived thyreophorans28,29. The posterior half of the short lower jaw (Fig. 2a–f) is strongly dorsoventrally expanded, resembling the general shape of the heterodontosaurid33 and basal ceratopsian jaws34. This expansion is composed of a well-developed coronoid eminence (Fig. 2a–d, ce; similar to that in the stegosaur Huayangosaurus35 and most ankylosaurs36) and a large ventral crest at the dentary-angular contact that is unique among thyreophorans (Fig. 2a–d,f, vmc; resembling that of some ceratopsians, see SI). The dentary symphysis is slightly spout-shaped, as in most ornithischians37. Anteriorly, the dentary oral margin is subhorizontal in lateral view (Fig. 2a–d, D), unlike the strongly downturned line of most thyreophorans30,37. There is no evidence of a mandibular osteoderm as occurs in Scelidosaurus and ankylosaurs10. A surangular tubercle (Fig. 2a, st) adjacent to the glenoid fossa seems anteriorly continued by a subtly developed subhorizontal inflection of the anterior lamina (Fig. 2e, hi), in the position of the surangular ridge (synapomorphy of Thyreophora37), though the first is poorly developed. The glenoid fossa is roughly aligned with the tooth row in lateral view (Fig. 2a–d). The short retroarticular process bears a dorsomedially directed process resembling that of several theropods (Fig. 2g, dmp; see Discussion). This process is absent in all other thyreophorans 9,10,35,36.The tooth crowns are leaf-shaped as in basal ornithischian and thyreophorans10,28,29,38 (Fig. 3). The tooth crowns are swollen labially at their base and lack both cingulum and ornamentation, unlike those of derived eurypodans28,29, heterodontosaurids33 and most neornithischians30,32. The mesial edge of the labial surface in the maxillary and dentary tooth crowns is prominent as in Scelidosaurus10, and ends distally in a denticle-like structure in Jakapil (Fig. 3, me). This prominent edge delimits anteriorly the wear facets of the dentary teeth. A striking difference with respect to most thyreophorans is that the maxillary and dentary tooth crowns are quite different (see Supplementary Information). The maxillary teeth (Fig. 3a–d) show seven/eight mesial and four distal denticles, a vertical apical denticle, and a straighter mesial denticle row (resembling those of non-ankylosaurid and non-stegosaurid thyreophorans10,35,36). The dentary teeth (Fig. 3e–j) bear seven mesial and five/six distal denticles, and a distally curved apical-most denticle. Also, the mesial denticle row is lingually recurved, as in Huayangosaurus35. Large, high-angled wear facets are present (Fig. 3d,h,j; dwf and mwf).The axial elements are similar to those of Scelidosaurus39 (Fig. 4). The posterior articular surface of an isolated cervical centrum is flattened and seems almost as wide as high. A large foramen is placed just posteroventral to the parapophysis. The dorsal centra are cylindrical and elongated, with subcircular articular surfaces, and are biconcave (Fig. 4c,e). The neural arch is low but the neural canal is larger (Fig. 4d,e, nc). A dorsal neurocentral suture is visible (Fig. 4c, ncs). The diapophyses are laterodorsally directed almost 40° from the horizontal (Fig. 4d, di), at a lower angle than in stegosaurs28 and most ankylosaurs29, unlike the horizontal processes of basal ornithischians38. The postzygapophyses are medially fused in a slender (width of less than a half postzygapophyses length) and strongly elongated posteriorly structure (Fig. 4b, poz; more than in some ankylosaurs, such as Euoplocephalus and Polacanthus; see40,41). An isolated mid-caudal vertebra shows an equidimensional centrum in lateral view, with concave, oval articular surfaces (Fig. 4g). Transverse processes are very small and button-like (Fig. 4g, tp). Postzygapophyses are medially fused and do not extend beyond the centrum edge (Fig. 4g, poz). Proximally, the cross-section of the dorsal ribs is T-shaped. The low curvature of the shaft suggests a wide torso, as occurs in Emausaurus42, Scelidosaurus39, and ankylosaurs29. Some rib fragments with expanded (though broken) posterior edges suggest the presence of intercostal bones (Fig. 4h, ebr), as in Scelidosaurus39, Huayangosaurus43,44, some ankylosaurids45 (and references therein) and some basal ornithopods46. Some ribs are distally expanded (Fig. 4i) like the anterior dorsal ribs of Scelidosaurus39 and Huayangosaurus43.Girdle and limb bones (see also Suppl. Figs. 2, 3) are mostly broken and with boreholes (probably due to bioerosion) at their ends. The scapular blade (Fig. 4j, sb) is elongated and parallel-sided, without distal expansion, an overall shape that resembles that of several theropods47, contrasting the distally expanded condition in most ornithischians30. A straight and parallel sided scapular blade is common in ankylosaurids29,40. The proximal scapular plate with a high acromial process (Fig. 4j,k, ap) is stegosaurian-like, and the lateral acromial crest (Fig. 4j,k, ac) is developed as in Huayangosaurus43. A low distinct ridge rises posterior to the glenoid fossa and represents the insertion site for the muscle triceps longus caudalis, as occur in ankylosaurids 40. The incomplete coracoid (Fig. 4l) is much shorter than the scapula, unlike that of ankylosaurs29,40, which bear a large coracoid. The coracoid and the scapula are not fused. The partial humeri (Fig. 3m) are strongly reduced in size, with overall limb proportions resembling those of basal ornithischians3,38 and several theropods47. A possible proximal end of the ulna (Fig. 4n) resembles that of other basal ornithischians, though more strongly laterally compressed. The anterolateral process is present (Fig. 4n, alp), and the olecranon process seems absent or poorly developed, as in Scutellosaurus9 and Scelidosaurus39. The ischia are poorly preserved (Fig. 4s). The pubic peduncle is separated from the iliac articulation, unlike the continuous cup-shaped structure of most ankylosaurs29. The shaft of the ischium is straight and parallel-edged, as in Scutellosaurus9 and Scelidosaurus39, and distally tapers as in stegosaurs28. The preserved femoral pieces (Fig. 4p) resemble those of basal ornithischians38,39. The bases of both the broken anterior and fourth trochanters (Fig. 4p, at, ft) are large, suggesting large elements; the fourth trochanter is proximally placed on the femoral shaft (near the height of the base of the anterior trochanter); and the distal end of the femur is slightly curved posteriorly. The proximal end of the right fibula (Fig. 4q) is much larger than that of all other thyreophorans (compared with both the femoral and tibial distal ends) and bears a large anterior curved crest. The block-like non-ungual phalanges and a bluntly pointed hoof-like ungual (Fig. 4o, ph, uph) are similar to those of Scelidosaurus39.At least five osteoderm types are preserved in the holotype of Jakapil. The cervical elements are composed of an external, low-crested scute (Fig. 4t, sc) over a fused, smooth bone base (Fig. 4t, bb), as in Scelidosaurus48 and several ankylosaurs2,49. A probable cervical element is also composed of a concave base of smooth bone fused to a high, asymmetrical osteoderm (Fig. 4t, aco). The bases of these dermal elements present strong rugosities at one edge, suggesting a sutural contact between (Fig. 4t, rug), as in Scelidosaurus48 and some ankylosaurs (such as Pinacosaurus and Scolosaurus40,49,50). Scute-like post-cervical osteoderms (Fig. 4u) are strongly flattened, disk-shaped, and suboval with a very low crest, resembling those of few ankylosaurs such as Gastonia and Gargoyleosaurus51 (‘body osteoderms’ sensu Kinneer et al.52; see also49). Only one scute shows a high triangular cross-section like those of Scelidosaurus48. Also present are a few conical, spike-like osteoderms with deep concave bases (Fig. 4v), and many flat, disk-shaped, minute (7–10 mm) ossicles without crests (Fig. 4w).PhylogenyThe phylogenetic analysis using the matrix of Soto-Acuña et al.5 recovers Jakapil within Thyreophora, as the sister taxon of Ankylosauria (Fig. 5). The branch support for the basal thyreophorans is considerably lower than that obtained by Soto-Acuña et al.5, although the support of Stegosauria and some less inclusive eurypodan clades is slightly better (ceratopsians and pachycephalosaurs also show a lower support). The Jakapil autapomorphies in this analysis are: ventrally orientated basipterygoid processes (char. 134; shared with Agilisaurus, Hypsilophodon, Zalmoxes, Tenontosaurus, Dryosaurus, Liaoceratops, Yamaceratops, Leptoceratops, Bagaceratops and Protoceratops); lateral orientation of the basipterygoid process articular facet (char. 136; shared with Homalocephale, Prenocephale, Stegoceras and Yinlong); a straight dentary tooth row in lateral view (char. 166; shared with the ornithischians Lesothosaurus, Eocursor, Scutellosaurus, Pinacosaurus, Euoplocephalus, heterodontosaurids and neornithischians); the presence of a ventral flange on the dentary (char. 170; shared with Psittacosaurus, Yamaceratops and Protoceratops); a well-developed coronoid process (char. 174; shared with heterodontosaurids and neornithischians); a surangular length of more than 50% the mandibular length (char. 183; shared with Stegoceras, Psittacosaurus, Yinlong, Chaoyangsaurus and Hualianceratops); less than 15 dentary teeth (char. 204; shared with heterodontosaurids, Gasparinisaura, Hypsilophodon, Wannanosaurus, Tenontosaurus, Dryosaurus and ceratopsians); apicobasally tall and blade-like cheek teeth crowns (char. 205; shared with Laquintasaura, Psittacosaurus, Yinlong, Chaoyangsaurus and Hualianceratops). Alternative phylogenetic analyses using the data matrices of Maidment et al.4, Norman6 and Wiersma and Irmis8 recover Jakapil as the sister taxon of Eurypoda (Stegosauria + Ankylosauria) and as a basal ankylosaur, respectively (see Supplementary Information). Being recovered either as an ankylosauromorph or a stem-eurypodan, Jakapil is closely related to Scelidosaurus in all analyses. Detailed phylogenetic results and discussion are provided in the Supplementary Information.Figure 5Time-calibrated strict consensus of 26,784 most parsimonious trees (L = 1267) with the Soto-Acuña et al.5 matrix. CI 0.359, RI: 0.708. Branch supports are figured (Bremer/bootstrap). Record ages references are listed in the Supplementary Information (Suppl. Fig. 4).Full size image More

  • in

    Accurate phenology analyses require bud traits and energy budgets

    Peñuelas, J. & Filella, I. Phenology. Responses to a warming world. Science 294, 793–795 (2001).PubMed 
    Article 

    Google Scholar 
    Peñuelas, J., Rutishauser, T. & Filella, I. Ecology. Phenology feedbacks on climate change. Science 324, 887–888 (2009).PubMed 
    Article 

    Google Scholar 
    Ramos-Jiliberto, R., Moisset de Espanés, P., Franco-Cisterna, M., Petanidou, T. & Vázquez, D. P. Phenology determines the robustness of plant-pollinator networks. Sci. Rep. 8, 14873 (2018).PubMed 
    PubMed Central 
    Article 
    CAS 

    Google Scholar 
    Chuine, I. Why does phenology drive species distribution? Philos. Trans. R. Soc. Lond. B Biol. Sci. 365, 3149–3160 (2010).PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Chmielewski, F.-M. in Phenology: An Integrative Environmental Science 2nd edn (ed. Schwartz M. D.) 539–561 (Springer, 2013).Morellato, L. P. C. et al. Linking plant phenology to conservation biology. Biol. Conserv. 195, 60–72 (2016).Article 

    Google Scholar 
    Katelaris, C. H. & Beggs, P. J. Climate change: allergens and allergic diseases. Intern. Med. J. 48, 129–134 (2018).PubMed 
    Article 

    Google Scholar 
    Schwartz, M. D. (ed.) Phenology: An Integrative Environmental Science 2nd edn (Springer, 2013).Cleland, E. E., Chuine, I., Menzel, A., Mooney, H. A. & Schwartz, M. D. Shifting plant phenology in response to global change. Trends Ecol. Evol. 22, 357–365 (2007).PubMed 
    Article 

    Google Scholar 
    Fu, Y. H. et al. Recent spring phenology shifts in western Central Europe based on multiscale observations. Glob. Ecol. Biogeogr. 23, 1255–1263 (2014).Article 

    Google Scholar 
    Jeong, S.-J., Ho, C.-H., Gim, H.-J. & Brown, M. E. Phenology shifts at start vs. end of growing season in temperate vegetation over the Northern Hemisphere for the period 1982-2008. Glob. Change Biol. 17, 2385–2399 (2011).Article 

    Google Scholar 
    Liu, Q. et al. Delayed autumn phenology in the Northern Hemisphere is related to change in both climate and spring phenology. Glob. Change Biol. 22, 3702–3711 (2016).Article 

    Google Scholar 
    Vitasse, Y. et al. Leaf phenology sensitivity to temperature in European trees: do within-species populations exhibit similar responses. Agric. For. Meteorol. 149, 735–744 (2009).Article 

    Google Scholar 
    Wang, S. et al. Temporal trends and spatial variability of vegetation phenology over the Northern Hemisphere during 1982-2012. PLoS ONE 11, e0157134 (2016).PubMed 
    PubMed Central 
    Article 
    CAS 

    Google Scholar 
    Fu, Y. H. et al. Declining global warming effects on the phenology of spring leaf unfolding. Nature 526, 104–107 (2015).CAS 
    PubMed 
    Article 

    Google Scholar 
    Huang, M. et al. Velocity of change in vegetation productivity over northern high latitudes. Nat. Ecol. Evol. 1, 1649–1654 (2017).PubMed 
    Article 

    Google Scholar 
    Peaucelle, M. et al. Spatial variance of spring phenology in temperate deciduous forests is constrained by background climatic conditions. Nat. Commun. 10, 5388 (2019).PubMed 
    PubMed Central 
    Article 
    CAS 

    Google Scholar 
    Zohner, C. M., Mo, L., Pugh, T. A. M., Bastin, J.-F. & Crowther, T. W. Interactive climate factors restrict future increases in spring productivity of temperate and boreal trees. Glob. Change Biol. https://doi.org/10.1111/gcb.15098 (2020).Montgomery, R. A., Rice, K. E., Stefanski, A., Rich, R. L. & Reich, P. B. Phenological responses of temperate and boreal trees to warming depend on ambient spring temperatures, leaf habit, and geographic range. Proc. Natl Acad. Sci. USA 117, 10397–10405 (2020).Zohner, C. M., Benito, B. M., Svenning, J.-C. & Renner, S. S. Day length unlikely to constrain climate-driven shifts in leaf-out times of northern woody plants. Nat. Clim. Change 6, 1120–1123 (2016).Article 

    Google Scholar 
    Peñuelas, J. et al. Complex spatiotemporal phenological shifts as a response to rainfall changes. New Phytol. 161, 837–846 (2004).PubMed 
    Article 

    Google Scholar 
    Papagiannopoulou, C. et al. Vegetation anomalies caused by antecedent precipitation in most of the world. Environ. Res. Lett. 12, 74016 (2017).Article 

    Google Scholar 
    Delpierre, N. et al. Modelling interannual and spatial variability of leaf senescence for three deciduous tree species in France. Agric. For. Meteorol. 149, 938–948 (2009).Article 

    Google Scholar 
    Fu, Y. H. et al. Nutrient availability alters the correlation between spring leaf-out and autumn leaf senescence dates. Tree Physiol. 39, 1277–1284 (2019).CAS 
    PubMed 
    Article 

    Google Scholar 
    Seyednasrollah, B., Swenson, J. J., Domec, J.-C. & Clark, J. S. Leaf phenology paradox: why warming matters most where it is already warm. Remote Sens. Environ. 209, 446–455 (2018).Article 

    Google Scholar 
    Chuine, I., Morin, X. & Bugmann, H. Warming, photoperiods, and tree phenology. Science 329, 277–278 (2010).PubMed 
    Article 

    Google Scholar 
    Vitasse, Y. & Basler, D. What role for photoperiod in the bud burst phenology of European beech. Eur. J. For. Res 132, 1–8 (2013).Article 

    Google Scholar 
    Way, D. A. & Montgomery, R. A. Photoperiod constraints on tree phenology, performance and migration in a warming world. Plant Cell Environ. 38, 1725–1736 (2015).PubMed 
    Article 

    Google Scholar 
    Caffarra, A., Donnelly, A. & Chuine, I. Modelling the timing of Betula pubescens budburst. II. Integrating complex effects of photoperiod into process-based models. Clim. Res. 46, 159–170 (2011).Article 

    Google Scholar 
    Körner, C. & Basler, D. Plant science. Phenology under global warming. Science 327, 1461–1462 (2010).PubMed 
    Article 

    Google Scholar 
    Fu, Y. H. et al. Daylength helps temperate deciduous trees to leaf-out at the optimal time. Glob. Change Biol. 25, 2410–2418 (2019).Article 

    Google Scholar 
    Singh, R. K., Svystun, T., AlDahmash, B., Jönsson, A. M. & Bhalerao, R. P. Photoperiod- and temperature-mediated control of phenology in trees – a molecular perspective. New Phytol. 213, 511–524 (2017).CAS 
    PubMed 
    Article 

    Google Scholar 
    Flynn, D. F. B. & Wolkovich, E. M. Temperature and photoperiod drive spring phenology across all species in a temperate forest community. New Phytol. 219, 1353–1362 (2018).CAS 
    PubMed 
    Article 

    Google Scholar 
    Brelsford, C. C., Nybakken, L., Kotilainen, T. K. & Robson, T. M. The influence of spectral composition on spring and autumn phenology in trees. Tree Physiol. 39, 925–950 (2019).CAS 
    PubMed 
    Article 

    Google Scholar 
    Strømme, C. B. et al. UV-B and temperature enhancement affect spring and autumn phenology in Populus tremula. Plant Cell Environ. 38, 867–877 (2015).PubMed 
    Article 

    Google Scholar 
    Fu, Y. H. et al. Increased heat requirement for leaf flushing in temperate woody species over 1980-2012: effects of chilling, precipitation and insolation. Glob. Change Biol. 21, 2687–2697 (2015).Article 

    Google Scholar 
    Huang, Y., Jiang, N., Shen, M. & Guo, L. Effect of preseason diurnal temperature range on the start of vegetation growing season in the Northern Hemisphere. Ecol. Indic. 112, 106161 (2020).Article 

    Google Scholar 
    Meng, F. et al. Opposite effects of winter day and night temperature changes on early phenophases. Ecology 100, e02775 (2019).PubMed 
    Article 

    Google Scholar 
    Zhang, S., Isabel, N., Huang, J.-G., Ren, H. & Rossi, S. Responses of bud-break phenology to daily-asymmetric warming: daytime warming intensifies the advancement of bud break. Int. J. Biometeorol. 63, 1631–1640 (2019).PubMed 
    Article 

    Google Scholar 
    Meng, L. et al. Divergent responses of spring phenology to daytime and nighttime warming. Agric. For. Meteorol. 281, 107832 (2020).Article 

    Google Scholar 
    Bigler, C. & Vitasse, Y. Daily maximum temperatures induce lagged effects on leaf unfolding in temperate woody species across large elevational gradients. Front. Plant Sci. 10, 398 (2019).PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Fu, Y. H. et al. Three times greater weight of daytime than of night-time temperature on leaf unfolding phenology in temperate trees. New Phytol. 212, 590–597 (2016).CAS 
    PubMed 
    Article 

    Google Scholar 
    Piao, S. et al. Leaf onset in the northern hemisphere triggered by daytime temperature. Nat. Commun. 6, 6911 (2015).CAS 
    PubMed 
    Article 

    Google Scholar 
    Vitasse, Y. et al. Impact of microclimatic conditions and resource availability on spring and autumn phenology of temperate tree seedlings. New Phytol. https://doi.org/10.1111/nph.17606 (2021).Azeez, A. et al. EARLY BUD-BREAK 1 and EARLY BUD-BREAK 3 control resumption of poplar growth after winter dormancy. Nat. Commun. 12, 1123 (2021).CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Hamer, P. The heat balance of apple buds and blossoms. Part I. Heat transfer in the outdoor environment. Agric. For. Meteorol. 35, 339–352 (1985).Article 

    Google Scholar 
    Landsberg, J. J., Butler, D. R. & Thorpe, M. R. Apple bud and blossom temperatures. J. Horticultural Sci. 49, 227–239 (1974).Article 

    Google Scholar 
    Grace, J. The temperature of buds may be higher than you thought. N. Phytol. 170, 1–3 (2006).Article 

    Google Scholar 
    Muir, C. D. tealeaves: an R package for modelling leaf temperature using energy budgets. AoB Plants 11, plz054 (2019).PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Knohl, A., Schulze, E.-D., Kolle, O. & Buchmann, N. Large carbon uptake by an unmanaged 250-year-old deciduous forest in Central Germany. Agric. For. Meteorol. 118, 151–167 (2003).Article 

    Google Scholar 
    Zellweger, F. et al. Forest microclimate dynamics drive plant responses to warming. Science 368, 772–775 (2020).CAS 
    PubMed 
    Article 

    Google Scholar 
    Bailey, B. N., Stoll, R., Pardyjak, E. R. & Miller, N. E. A new three-dimensional energy balance model for complex plant canopy geometries: Model development and improved validation strategies. Agric. For. Meteorol. 218-219, 146–160 (2016).Article 

    Google Scholar 
    Michaletz, S. T. & Johnson, E. A. A heat transfer model of crown scorch in forest fires. Can. J. For. Res. 36, 2839–2851 (2006).Article 

    Google Scholar 
    Sanchez‐Lorenzo, A. et al. Reassessment and update of long‐term trends in downward surface shortwave radiation over Europe (1939–2012). J. Geophys. Res. Atmos. 120, 9555–9569 (2015).Pfeifroth, U., Sanchez‐Lorenzo, A., Manara, V., Trentmann, J. & Hollmann, R. Trends and variability of surface solar radiation in Europe based on surface‐ and satellite-based data records. J. Geophys. Res. Atmos. 123, 1735–1754 (2018).Article 

    Google Scholar 
    Richardson, A. D. et al. Terrestrial biosphere models need better representation of vegetation phenology: results from the North American Carbon Program Site Synthesis. Glob. Change Biol. 18, 566–584 (2012).Article 

    Google Scholar 
    Liu, Q. et al. Extension of the growing season increases vegetation exposure to frost. Nat. Commun. 9, 426 (2018).PubMed 
    PubMed Central 
    Article 
    CAS 

    Google Scholar 
    Ma, Q., Huang, J.-G., Hänninen, H. & Berninger, F. Divergent trends in the risk of spring frost damage to trees in Europe with recent warming. Glob. Change Biol. 25, 351–360 (2019).Article 

    Google Scholar 
    Zohner, C. M. et al. Late-spring frost risk between 1959 and 2017 decreased in North America but increased in Europe and Asia. Proc. Natl Acad. Sci. USA https://doi.org/10.1073/pnas.1920816117 (2020).Xiao, L. et al. Estimating spring frost and its impact on yield across winter wheat in China. Agric. For. Meteorol. 260–261, 154–164 (2018).Article 

    Google Scholar 
    Unterberger, C. et al. Spring frost risk for regional apple production under a warmer climate. PLoS ONE 13, e0200201 (2018).PubMed 
    PubMed Central 
    Article 
    CAS 

    Google Scholar 
    Leolini, L. et al. Late spring frost impacts on future grapevine distribution in Europe. Field Crops Res. 222, 197–208 (2018).Article 

    Google Scholar 
    Greco, S. et al. Late spring frost in mediterranean beech forests: extended crown dieback and short-term effects on moth communities. Forests 9, 388 (2018).Article 

    Google Scholar 
    Augspurger, C. K. Spring 2007 warmth and frost: phenology, damage and refoliation in a temperate deciduous forest. Funct. Ecol. 23, 1031–1039 (2009).Article 

    Google Scholar 
    Dong, N., Prentice, I. C., Harrison, S. P., Song, Q. H. & Zhang, Y. P. Biophysical homoeostasis of leaf temperature: a neglected process for vegetation and land-surface modelling. Glob. Ecol. Biogeogr. 26, 998–1007 (2017).Article 

    Google Scholar 
    Jones, H. G. Plants and Microclimate. A Quantitative Approach to Environmental Plant Physiology (Cambridge Univ. Press, 2013).University Of East Anglia Climatic Research Unit (CRU) & Harris, I. C. CRU JRA v1.1: a forcings dataset of gridded land surface blend of Climatic Research Unit (CRU) and Japanese reanalysis (JRA) data; Jan.1901–Dec.2017, 2019; https://catalogue.ceda.ac.uk/uuid/13f3635174794bb98cf8ac4b0ee8f4edDupleix, A., Sousa Meneses, D., de, Hughes, M. & Marchal, R. Mid-infrared absorption properties of green wood. Wood Sci. Technol. 47, 1231–1241 (2013).CAS 
    Article 

    Google Scholar 
    Howard, R. & Stull, R. IR radiation from trees to a ski run: a case study. J. Appl. Meteorol. Climatol. 52, 1525–1539 (2013).Article 

    Google Scholar 
    Monteith, J. L. & Unsworth, M. H. Principles of Environmental Physics. Plants, Animals, and the Atmosphere 4th edn (Elsevier/Academic Press, 2013).Bergman, T. L., Incropera, F. P. & Lavine, A. S. Fundamentals of Heat and Mass Transfer (J. Wiley & Sons, 2011).Jacobs, A., Heusinkveld, B. G. & Kessel, G. Simulating of leaf wetness duration within a potato canopy. NJAS Wagening. J. Life Sci. 53, 151–166 (2005).Article 

    Google Scholar 
    Gerlein-Safdi, C. et al. Dew deposition suppresses transpiration and carbon uptake in leaves. Agric. For. Meteorol. 259, 305–316 (2018).Article 

    Google Scholar 
    Muñoz Sabater, J. Copernicus Climate Change Service: ERA5-Land hourly data from 1981 to present, 2019; https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-landKusch, E. & Davy, R. KrigR – A tool for downloading and statistically downscaling climate reanalysis data. Environ. Res. Lett. 17, 024005 (2022).Article 

    Google Scholar 
    R Core Team. R: A Language and Environment for Statistical Computing (R Foundation for Statistical Computing, 2018); https://www.R-project.org/ More

  • in

    Invasion stages help resolve Darwin’s naturalization conundrum

    Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.This is a summary of: Omer, A. et al. The role of phylogenetic relatedness on alien plant success depends on the stage of invasion. Nat. Plants https://doi.org/10.1038/s41477-022-01216-9 (2022). More

  • in

    Thermal adaptation best explains Bergmann’s and Allen’s Rules across ecologically diverse shorebirds

    Delhey, K. A review of Gloger’s rule, an ecogeographical rule of colour: definitions, interpretations and evidence. Biol. Rev. 94, 1294–1316 (2019).PubMed 

    Google Scholar 
    Tian, L. & Benton, M. J. Predicting biotic responses to future climate warming with classic ecogeographic rules. Curr. Biol. 30, R744–R749 (2020).CAS 
    PubMed 

    Google Scholar 
    Ryding, S., Klaassen, M., Tattersall, G. J., Gardner, J. L. & Symonds, M. R. E. Shape-shifting: changing animal morphologies as a response to climatic warming. Trends Ecol. Evol. 36, 1036–1048 (2021).Salewski, V. & Watt, C. Bergmann’s rule: a biophysiological rule examined in birds. Oikos 126, 161–172 (2017).
    Google Scholar 
    Allen, J. A. The influence of physical conditions in the genesis of species. Radic. Rev. 1, 108–140 (1877).
    Google Scholar 
    Ashton, K. G., Tracy, M. C. & De Queiroz, A. Is Bergmann’s rule valid for mammals? Am. Nat. 156, 390–415 (2000).PubMed 

    Google Scholar 
    Ashton, K. G. Patterns of within-species body size variation of birds: strong evidence for Bergmann’s rule. Glob. Ecol. Biogeogr. 11, 505–523 (2002).
    Google Scholar 
    Nudds, R. L. & Oswald, S. A. An interspecific test of Allen’s rule: evolutionary implications for endothermic species. Evolution (N. Y) 61, 2839–2848 (2007).CAS 

    Google Scholar 
    Symonds, M. R. E. & Tattersall, G. J. Geographical variation in bill size across bird species provides evidence for Allen’s rule. Am. Nat. 176, 188–197 (2010).PubMed 

    Google Scholar 
    Cardilini, A. P. A., Buchanan, K. L., Sherman, C. D. H., Cassey, P. & Symonds, M. R. E. Tests of ecogeographical relationships in a non-native species: what rules avian morphology? Oecologia 181, 783–793 (2016).ADS 
    PubMed 

    Google Scholar 
    Alhajeri, B. H., Fourcade, Y., Upham, N. S. & Alhaddad, H. A global test of Allen’s rule in rodents. Glob. Ecol. Biogeogr. 29, 2248–2260 (2020).
    Google Scholar 
    McNab, B. K. On the ecological significance of Bergmann’s rule. Ecology 52, 845–854 (1971).
    Google Scholar 
    Meiri, S., Dayan, T. & Simberloff, D. Carnivores, biases and Bergmann’s rule. Biol. J. Linn. Soc. 81, 579–588 (2004).
    Google Scholar 
    Gohli, J. & Voje, K. L. An interspecific assessment of Bergmann’s rule in 22 mammalian families. BMC Evol. Biol. 16, 1–12 (2016).
    Google Scholar 
    Freeman, B. G. Little evidence for Bergmann’s rule body size clines in passerines along tropical elevational gradients. J. Biogeogr. 44, 502–510 (2017).
    Google Scholar 
    Riemer, K., Guralnick, R. P. & White, E. No general relationship between mass and temperature in endothermic species. Elife 7, e27166 (2018).PubMed 
    PubMed Central 

    Google Scholar 
    Blackburn, T. M., Gaston, K. J. & Loder, N. Geographic gradients in body size: a clarification of Bergmann’s rule. Divers. Distrib. 5, 165–174 (1999).
    Google Scholar 
    Watt, C., Mitchell, S. & Salewski, V. Bergmann’s rule; a concept cluster? Oikos 119, 89–100 (2010).
    Google Scholar 
    James, F. C. Geographic size variation in birds and its relationship to climate. Ecology 51, 365–390 (1970).
    Google Scholar 
    Cartar, R. V. & Morrison, R. I. G. Metabolic correlates of leg length in breeding arctic shorebirds: the cost of getting high. J. Biogeogr. 32, 377–382 (2005).
    Google Scholar 
    Friedman, N. R., Harmáčková, L., Economo, E. P. & Remeš, V. Smaller beaks for colder winters: thermoregulation drives beak size evolution in Australasian songbirds. Evolution (N. Y). 71, 2120–2129 (2017).Fan, L., Cai, T., Xiong, Y., Song, G. & Lei, F. Bergmann’s rule and Allen’s rule in two passerine birds in China. Avian. Res. 10, 1–11 (2019).
    Google Scholar 
    Romano, A., Séchaud, R. & Roulin, A. Geographical variation in bill size provides evidence for Allen’s rule in a cosmopolitan raptor. Glob. Ecol. Biogeogr. 29, 65–75 (2020).
    Google Scholar 
    Romano, A., Séchaud, R. & Roulin, A. Generalized evidence for Bergmann’s rule: body size variation in a cosmopolitan owl genus. J. Biogeogr. 48, 51–63 (2021).
    Google Scholar 
    Gardner, J. L. et al. Spatial variation in avian bill size is associated with humidity in summer among Australian passerines. Clim. Chang. Responses 3, 1–11 (2016).
    Google Scholar 
    Greenberg, R. & Danner, R. M. The influence of the california marine layer on bill size in a generalist songbird. Evolution (N. Y) 66, 3825–3835 (2012).
    Google Scholar 
    Greenberg, R., Danner, R., Olsen, B. & Luther, D. High summer temperature explains bill size variation in salt marsh sparrows. Ecography (Cop.) 35, 146–152 (2012).
    Google Scholar 
    Klir, J. J. & Heath, J. E. An infrared thermographic study of surface temperature in relation to external thermal stress in three species of foxes: the red fox (Vulpes vulpes), Arctic fox, and kit fox (Vulpes macrotis). Physiol. Zool. 65, 1011–1021 (1992).
    Google Scholar 
    Ballentine, B. & Greenberg, R. Common garden experiment reveals genetic control of phenotypic divergence between swamp sparrow subspecies that lack divergence in neutral genotypes. PLoS One 5, 1–6 (2010).
    Google Scholar 
    Nord, A. & Giroud, S. Lifelong effects of thermal challenges during development in birds and mammals. Front. Physiol. 11, 1–9 (2020).
    Google Scholar 
    Riek, A. & Geiser, F. Developmental phenotypic plasticity in a marsupial. J. Exp. Biol. 215, 1552–1558 (2012).PubMed 

    Google Scholar 
    Cunningham, S. J., Martin, R. O., Hojem, C. L. & Hockey, P. A. R. Temperatures in excess of critical thresholds threaten nestling growth and survival in a rapidly-warming arid savanna: a study of common fiscals. PLoS One 8, e74613 (2013).Mariette, M. M. & Buchanan, K. L. Prenatal acoustic communication programs offspring for high posthatching temperatures in a songbird. Science 353, 812–814 (2016).ADS 
    CAS 
    PubMed 

    Google Scholar 
    Nord, A. & Nilsson, J. Å. Incubation temperature affects growth and energy metabolism in blue tit nestlings. Am. Nat. 178, 639–651 (2011).PubMed 

    Google Scholar 
    Serrat, M. A. Allen’s rule revisited: temperature influences bone elongation during a critical period of postnatal development. Anat. Rec. 296, 1534–1545 (2013).
    Google Scholar 
    Larson, E. R. et al. Nest microclimate predicts bill growth in the Adelaide rosella (Aves: Psittaculidae). Biol. J. Linn. Soc. 124, 339–349 (2018).
    Google Scholar 
    Burness, G., Huard, J. R., Malcolm, E. & Tattersall, G. J. Post-hatch heat warms adult beaks: irreversible physiological plasticity in Japanese quail. Proc. R. Soc. B Biol. Sci. 280, 20131436 (2013).Husby, A., Hille, S. M. & Visser, M. E. Testing mechanisms of bergmann’s rule: phenotypic decline but no genetic change in body size in three passerine bird populations. Am. Nat. 178, 202–213 (2011).PubMed 

    Google Scholar 
    Cresswell, W., Clark, J. A. & Macleod, R. How climate change might influence the starvation-predation risk trade-off response. Proc. R. Soc. B Biol. Sci. 276, 3553–3560 (2009).CAS 

    Google Scholar 
    McNamara, J. M., Higginson, A. D. & Verhulst, S. The influence of the starvation-predation trade-off on the relationship between ambient temperature and body size among endotherms. J. Biogeogr. 43, 809–819 (2016).PubMed 

    Google Scholar 
    Dickman, C. R. Body size, prey size, and community structure in insectivorous mammals. Ecology 69, 569–580 (1988).
    Google Scholar 
    Carbone, C., Mace, G. M., Roberts, S. C. & Macdonald, D. W. Energetic constraints on the diet of terrestrial carnivores. Nature 402, 286–288 (1999).ADS 
    CAS 
    PubMed 

    Google Scholar 
    Cohen, J. E., Pimm, S. L., Yodzis, P., & Saldaña, J. Body sizes of animal predators and animal prey in food webs. J. Anim. Ecol. 62, 67–78 (1993).
    Google Scholar 
    McKinnon, L. et al. Lower predation risk for migratory birds at high latitudes. Science 327, 326–327 (2010).ADS 
    CAS 
    PubMed 

    Google Scholar 
    Díaz, M. et al. The geography of fear: a latitudinal gradient in anti-predator escape distances of birds across Europe. PLoS One 8, e64634 (2013).Gosler, A. G., Greenwood, J. J. D. & Perrins, C. Predation risk and the cost of being fat. Nature 377, 621–623 (1995).ADS 
    CAS 

    Google Scholar 
    Anderson, A. M. et al. Consistent declines in wing lengths of Calidridine sandpipers suggest a rapid morphometric response to environmental change. PLoS One 14, 1–21 (2019).CAS 

    Google Scholar 
    Milá, B., Wayne, R. K. & Smith, T. B. Ecomorphology of migratory and sedentary populations of the yellow-rumped warbler (Dendroica Coronata). Condor 110, 335–344 (2008).
    Google Scholar 
    O’Hara, P. D., Fernández, G., Haase, B., de la Cueva, H. & Lank, D. B. Differential migration in western sandpipers with respect to body size and wing length. Condor 108, 225–232 (2006).
    Google Scholar 
    Ketterson, E. D. & Nolan, V. Geographic variation and its climatic correlates in the sex ratio of eastern-wintering dark-eyed juncos (Junco hyemalis hyemalis). Ecology 57, 679–693 (1976).
    Google Scholar 
    Nebel, S. Differential migration of shorebirds in the East Asian-Australasian Flyway. Emu 107, 14–18 (2007).
    Google Scholar 
    Elner, R. W. & Seaman, D. A. Calidrid conservation: unrequited needs. Wader Study Gr. Bull. 100, 30–34 (2003).
    Google Scholar 
    Greenberg, R. Dissimilar bill shapes in new world tropical versus temperate forest foliage-gleaning birds. Oecologia 49, 143–147 (1981).ADS 
    PubMed 

    Google Scholar 
    Nebel, S. Latitudinal clines in bill length and sex ratio in a migratory shorebird: a case of resource partitioning? Acta Oecologica 28, 33–38 (2005).ADS 

    Google Scholar 
    Mathot, K. J., Smith, B. D. & Elner, R. W. Latitudinal clines in food distribution correlate with differential migration in the Western Sandpiper. Ecology 88, 781–791 (2007).PubMed 

    Google Scholar 
    Duijns, S. et al. Sex-specific winter distribution in a sexually dimorphic shorebird is explained by resource partitioning. Ecol. Evol. 4, 4009–4018 (2014).PubMed 
    PubMed Central 

    Google Scholar 
    Wilson, J. R., Nebel, S. & Minton, C. D. T. Migration ecology and morphometrics of two Bar-tailed Godwit populations in Australia. Emu 107, 262–274 (2007).
    Google Scholar 
    Nebel, S., Rogers, K. G., Minton, C. D. T. & Rogers, D. I. Is geographical variation in the size of Australian shorebirds consistent with hypotheses on differential migration? Emu 113, 99–111 (2013).
    Google Scholar 
    Beltran, R. S., Burns, J. M. & Breed, G. A. Convergence of biannual moulting strategies across birds and mammals. Proc. R. Soc. B Biol. Sci. 285, 20180318 (2018).Tattersall, G. J., Arnaout, B. & Symonds, M. R. E. The evolution of the avian bill as a thermoregulatory organ. Biol. Rev. 92, 1630–1656 (2017).PubMed 

    Google Scholar 
    Battley, P. F., Rogers, D. I., Piersma, T. & Koolhaas, A. Behavioural evidence for heat-load problems in Great Knots in tropical Australia fuelling for long-distance flight. Emu 103, 97–103 (2003).
    Google Scholar 
    Rogers, D. I., Piersma, T. & Hassell, C. J. Roost availability may constrain shorebird distribution: Exploring the energetic costs of roosting and disturbance around a tropical bay. Biol. Conserv. 133, 225–235 (2006).
    Google Scholar 
    Danner, R. M. & Greenberg, R. A critical season approach to Allen’s rule: Bill size declines with winter temperature in a cold temperate environment. J. Biogeogr. 42, 114–120 (2015).
    Google Scholar 
    Buchholz, R. Thermoregulatory role of the unfeathered head and neck in male wild turkeys. Auk 113, 310–318 (1996).
    Google Scholar 
    Marchant, S. & Higgins, P. J. (eds.) Handbook of Australian, New Zealand and Antarctic Birds. Volume 2: Raptors to Lapwings (Oxford University Press, 1993).Higgins, P. J. & Davies, S. J. J. F. (eds.) Handbook of Australian, New Zealand and Antarctic Birds. Volume 3: Snipe to Pigeons (Oxford University Press, 1996).Andrew, S. C., Hurley, L. L., Mariette, M. M. & Griffith, S. C. Higher temperatures during development reduce body size in the zebra finch in the laboratory and in the wild. J. Evol. Biol. 30, 2156–2164 (2017).CAS 
    PubMed 

    Google Scholar 
    Morrick, Z. N. et al. Differential population trends align with migratory connectivity in an endangered shorebird. Conserv. Sci. Pract. 4, 1–13 (2022).
    Google Scholar 
    Hassell, C., Southey, I., Boyle, A. & Yang, H.-Y. Red knot Calidris canutus: subspecies and migration in the East Asian-Australasian flyway – where do all the red knot go? BirdingASIA 16, 89–93 (2011).
    Google Scholar 
    Battley, P. F. et al. Contrasting extreme long-distance migration patterns in bar-tailed godwits Limosa lapponica. J. Avian Biol. 43, 21–32 (2012).
    Google Scholar 
    Aharon-Rotman, Y., Buchanan, K. L., Clark, N. J., Klaassen, M. & Buttemer, W. A. Why fly the extra mile? Using stress biomarkers to assess wintering habitat quality in migratory shorebirds. Oecologia 182, 385–395 (2016).ADS 
    PubMed 

    Google Scholar 
    Aharon-Rotman, Y., Gosbell, K., Minton, C. & Klaassen, M. Why fly the extra mile? Latitudinal trend in migratory fuel deposition rate as driver of trans-equatorial long-distance migration. Ecol. Evol. 6, 6616–6624 (2016).PubMed 
    PubMed Central 

    Google Scholar 
    Hollands, D. & Minton, C. Waders: The Shorebirds of Australia (Bloomings Books, 2012).Siepielski, A. M. et al. No evidence that warmer temperatures are associated with selection for smaller body sizes. Proc. R. Soc. B Biol. Sci. 286, 20191332 (2019).Ho, C. K., Pennings, S. C. & Carefoot, T. H. Is diet quality an overlooked mechanism for Bergmann’s rule? Am. Nat. 175, 269–276 (2010).PubMed 

    Google Scholar 
    Piersma, T. et al. Fuel storage rates in Red Knots worldwide: facing the severest ecological constraint in tropical intertidal environments? In Birds of Two Worlds: Ecology and Evolution of Migration (eds Greenburg, R. & Marra, P. P.) (Smithsonian Institution Press, 2005).Hedenström, A. & Rosén, M. Predator versus prey: on aerial hunting and escape strategies in birds. Behav. Ecol. 12, 150–156 (2001).
    Google Scholar 
    Van Den Hout, P. J., Mathot, K. J., Maas, L. R. M. & Piersma, T. Predator escape tactics in birds: linking ecology and aerodynamics. Behav. Ecol. 21, 16–25 (2010).
    Google Scholar 
    Schemske, D. W., Mittelbach, G. G., Cornell, H. V., Sobel, J. M. & Roy, K. Is there a latitudinal gradient in the importance of biotic interactions? Annu. Rev. Ecol. Evol. Syst. 40, 245–269 (2009).
    Google Scholar 
    Cain, K. E. et al. Conspicuous plumage does not increase predation risk: a continent-wide test using model songbirds. Am. Nat. 193, 359–372 (2019).PubMed 

    Google Scholar 
    Cohen, J. E., Pimm, S. L., Yodzis, P. & Saldana, J. Body sizes of animal predators and animal prey in food webs. J. Anim. Ecol. 62, 67–78 (1993).
    Google Scholar 
    Gotmark, F. & Post, P. Prey selection by sparrowhawks, Accipiter nisus: relative predation risk for breeding passerine birds in relation to their size, ecology and behaviour. Philos. Trans. R. Soc. B Biol. Sci. 351, 1559–1577 (1996).ADS 

    Google Scholar 
    McQueen, A. et al. Evolutionary drivers of seasonal plumage colours: colour change by moult correlates with sexual selection, predation risk and seasonality across passerines. Ecol. Lett. 22, 1838–1849 (2019).PubMed 

    Google Scholar 
    Martínez, A. E. & Zenil, R. T. Foraging guild influences dependence on heterospecific alarm calls in Amazonian bird flocks. Behav. Ecol. 23, 544–550 (2012).
    Google Scholar 
    Gauthreaux, S. A. The ecological significance of behavioral dominance. In Social Behavior. Perspectives in Ethology, vol 3 (eds Bateson, P. P. G. & Klopfer, P. H.) (Springer, 1978).Friedman, N. R. et al. Evolution of a multifunctional trait: Shared effects of foraging ecology and thermoregulation on beak morphology, with consequences for song evolution. Proc. R. Soc. B Biol. Sci. 286, 20192474 (2019).Campbell-Tennant, D. J. E., Gardner, J. L., Kearney, M. R. & Symonds, M. R. E. Climate-related spatial and temporal variation in bill morphology over the past century in Australian parrots. J. Biogeogr. 42, 1163–1175 (2015).
    Google Scholar 
    Sullivan, T. N., Meyers, M. A. & Arzt, E. Scaling of bird wings and feathers for efficient flight. Sci. Adv. 5, 1–9 (2019).
    Google Scholar 
    Gosler, A. G., Greenwood, J. J. D., Baker, J. K. & Davidson, N. C. The field determination of body size and condition in passerines: a report to the British Ringing Committee. Bird. Study 45, 92–103 (1998).
    Google Scholar 
    Tattersall, G. J., Chaves, J. A. & Danner, R. M. Thermoregulatory windows in Darwin’s finches. Funct. Ecol. 32, 358–368 (2018).
    Google Scholar 
    Weeks, B. C. et al. Shared morphological consequences of global warming in North American migratory birds. Ecol. Lett. 23, 316–325 (2020).PubMed 

    Google Scholar 
    Minton, C. The history and achievements of the Victorian Wader Study Group. Stilt 50, 285–294 (2006).
    Google Scholar 
    Minton, C. The history of wader studies in north-west Australia. Stilt 50, 224–234 (2006).
    Google Scholar 
    Lowe, K. W. The Australian Bird Bander’s Manual (Australian Bird and Bat Banding Scemes, Australian National Parks and Wildlife Services, 1989).Aarif, K. M. Some aspects of feeding ecology of the lesser sand plover Charadrius mongolus in three different zones in the Kadalundy Estuary, Kerala, South India. Podoces 4, 100–1007 (2009).
    Google Scholar 
    Bates, D., Maechler, M. & Bolker, B. Fitting linear mixed-effects models using lme4. J. Stat. Softw. 67, 1–48 (2015).
    Google Scholar 
    Rue, H. et al. Bayesian computing with INLA: a review. Annu. Rev. Stat. Its Appl. 4, 395–421 (2017).ADS 

    Google Scholar 
    Li, D., Dinnage, R., Nell, L. A., Helmus, M. R. & Ives, A. R. phyr: an r package for phylogenetic species-distribution modelling in ecological communities. Methods Ecol. Evol. 11, 1455–1463 (2020).
    Google Scholar 
    Simpson, D., Rue, H., Riebler, A., Martins, T. G. & Sørbye, S. H. Penalising model component complexity: a principled, practical approach to constructing priors. Stat. Sci. 32, 1–28 (2017).MathSciNet 
    MATH 

    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).ADS 
    CAS 
    PubMed 

    Google Scholar 
    Schliep, K. Phangorn: phylogenetic analysis in R. Bioinformatics 27, 592–593 (2011).CAS 
    PubMed 

    Google Scholar 
    McQueen, A et al. Data from: thermal adaptation best explains Bergmann’s and Allen’s rule across ecologically diverse shorebirds. Dryad Dataset. https://doi.org/10.5061/dryad.xsj3tx9j5.Tattersall, G. J., Andrade, D. V. & Abe, A. S. Heat exchange from the toucan bill reveals a controllable vascular thermal radiator. Science 325, 468–470 (2009).ADS 
    CAS 
    PubMed 

    Google Scholar 
    Greenberg, R., Cadena, V., Danner, R. M. & Tattersall, G. Heat loss may explain bill size differences between birds occupying different habitats. PLoS One 7, 1–9 (2012).
    Google Scholar 
    Ryeland, J., Weston, M. A. & Symonds, M. R. E. Bill size mediates behavioural thermoregulation in birds. Funct. Ecol. 31, 885–893 (2017).
    Google Scholar 
    Pavlovic, G., Weston, M. A. & Symonds, M. R. E. Morphology and geography predict the use of heat conservation behaviours across birds. Funct. Ecol. 33, 286–296 (2019).
    Google Scholar  More

  • in

    Context-specific emergence and growth of the SARS-CoV-2 Delta variant

    These authors contributed equally: John T. McCrone, Verity Hill, Sumali Bajaj, Rosario Evans PenaThese authors jointly supervised this work: Oliver G. Pybus, Andrew Rambaut, Moritz U.G. KraemerA list of authors and their affiliations appears in the Supplementary InformationInstitute of Evolutionary Biology, University of Edinburgh, Edinburgh, UKJohn T. McCrone, Verity Hill, Ben Jackson, Rachel Colquhoun, Áine O’Toole & Andrew RambautDepartment of Zoology, University of Oxford, Oxford, UKSumali Bajaj, Rosario Evans Pena, Rhys Inward, Alexander E. Zarebski, Jayna Raghwani, Nuno R. Faria, Louis du Plessis, Oliver G. Pybus & Moritz U. G. KraemerDepartment of Computer Science, University of Oxford, Oxford, UKBen C. LambertMRC Centre of Global Infectious Disease Analysis, Jameel Institute for Disease and Emergency Analytics, Imperial College London, London, UKRhys Inward, Samir Bhatt, Erik Volz & Nuno R. FariaSection of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, DenmarkSamir BhattMolecular Immunity Unit, Department of Medicine, Cambridge University, Cambridge, UKChristopher RuisSpatial Epidemiology Lab (SpELL), Université Libre de Bruxelles, Bruxelles, BelgiumSimon DellicourDepartment of Microbiology, Immunology and Transplantation, Rega Institute, KU Leuven, Leuven, BelgiumSimon Dellicour & Guy BaeleGoogle, Mountain View, CA, USAAdam Sadilek, Neo Wu & Aaron SchneiderDepartment of Mathematics, School of Science & Engineering, Tulane University, New Orleans, LA, USAXiang JiDepartment of Infectious Disease, Imperial College London, London, UKThomas P. Peacock & Wendy S. BarclayUK Health Security Agency, London, UKThomas P. Peacock, Kate Twohig, Simon Thelwall, Gavin Dabrera, Richard Myers & Meera ChandInstituto de Medicina Tropical, Faculdade de Medicina da Universidade de Sao Paulo, Sao Paulo, BrazilNuno R. FariaBlueDot, Toronto, CanadaCarmen Huber & Kamran KhanDivisions of Internal Medicine & Infectious Diseases, Toronto General Hospital, University Health Network, Toronto, CanadaIsaac I. BogochDepartment of Medicine, Division of Infectious Diseases, University of Toronto, Toronto, ON, CanadaIsaac I. Bogoch & Kamran KhanLi Ka Shing Knowledge Institute, St. Michael’s Hospital, Toronto, ON, CanadaKamran KhanDepartment of Biosystems Science and Engineering, ETH Zurich, Zurich, SwitzerlandLouis du PlessisWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UKJeffrey C. Barrett & David M. AanensenBig Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, UKDavid M. AanensenPathogen Genomics Unit, Public Health Wales NHS Trust, Cardiff, UKThomas ConnorSchool of Biosciences, The Sir Martin Evans Building, Cardiff University, Cardiff, UKThomas ConnorQuadram Institute, Norwich, UKThomas ConnorInstitute of Microbiology and Infection, University of Birmingham, Birmingham, UKNicholas J. LomanDepartments of Biostatistics, Biomathematics and Human Genetics, University of California, Los Angeles, Los Angeles, CA, USAMarc A. SuchardDepartment of Pathobiology and Population Sciences, Royal Veterinary College London, London, UKOliver G. PybusPandemic Sciences Institute, University of Oxford, Oxford, UKOliver G. Pybus & Moritz U. G. Kraemer More

  • in

    The role of phylogenetic relatedness on alien plant success depends on the stage of invasion

    Richardson, D. M. et al. Naturalization and invasion of alien plants: concepts and definitions. Divers. Distrib. 6, 93–107 (2000).Article 

    Google Scholar 
    van Kleunen, M. et al. Global exchange and accumulation of non-native plants. Nature 525, 100–103 (2015).PubMed 
    Article 
    CAS 

    Google Scholar 
    Capinha, C., Essl, F., Seebens, H., Moser, D. & Pereira, H. M. The dispersal of alien species redefines biogeography in the Anthropocene. Science 348, 1248–1251 (2015).CAS 
    PubMed 
    Article 

    Google Scholar 
    Vilà, M. & Hulme, P. E. in Impact of Biological Invasions on Ecosystem Services Vol. 12 Invading Nature – Springer Series in Invasion Ecology (eds Vilà, M. & Hulme, P. E.) 1–14 (Springer, 2017).Pyšek, P. et al. A global assessment of invasive plant impacts on resident species, communities and ecosystems: the interaction of impact measures, invading species’ traits and environment. Glob. Chang. Biol. 18, 1725–1737 (2012).PubMed Central 
    Article 

    Google Scholar 
    Pyšek, P. et al. Scientists’ warning on invasive alien species. Biol. Rev. 95, 1511–1534 (2020).PubMed 
    Article 

    Google Scholar 
    Bacher, S. et al. Socio-economic impact classification of alien taxa (SEICAT). Methods Ecol. Evol. 9, 159–168 (2018).Article 

    Google Scholar 
    Seebens, H. et al. No saturation in the accumulation of alien species worldwide. Nat. Commun. 8, 14435 (2017).CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Seebens, H. et al. Projecting the continental accumulation of alien species through to 2050. Glob. Chang. Biol. 27, 970–982 (2021).CAS 
    Article 

    Google Scholar 
    Kriticos, D. J., Sutherst, R. W., Brown, J. R., Adkins, S. W. & Maywald, G. F. Climate change and the potential distribution of an invasive alien plant: Acacia nilotica ssp. indica in Australia. J. Appl. Ecol. 40, 111–124 (2003).Article 

    Google Scholar 
    Thuiller, W., Richardson, D. M. & Midgley, G. F. in Biological Invasions (ed. Nentwig, W.) 197–211 (Springer, 2007).Hobbs, R. J. in Invasive Species in a Changing World (eds Mooney, H. A. & Hobbs, R. J.) 55–64 (Island Press, 2000).Seebens, H. et al. Global trade will accelerate plant invasions in emerging economies under climate change. Glob. Chang. Biol. 21, 4128–4140 (2015).PubMed 
    Article 

    Google Scholar 
    Razanajatovo, M. et al. Plants capable of selfing are more likely to become naturalized. Nat. Commun. 7, 13313 (2016).CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Bucharova, A. & van Kleunen, M. Introduction history and species characteristics partly explain naturalization success of North American woody species in Europe. J. Ecol. 97, 230–238 (2009).Article 

    Google Scholar 
    Ordonez, A., Wright, I. J. & Olff, H. Functional differences between native and alien species: a global-scale comparison. Funct. Ecol. 24, 1353–1361 (2010).Article 

    Google Scholar 
    van Kleunen, M., Weber, E. & Fischer, M. A meta-analysis of trait differences between invasive and non-invasive plant species. Ecol. Lett. 13, 235–245 (2010).PubMed 
    Article 

    Google Scholar 
    van Kleunen, M., Dawson, W. & Maurel, N. Characteristics of successful alien plants. Mol. Ecol. 24, 1954–1968 (2015).PubMed 
    Article 

    Google Scholar 
    Essl, F. et al. Drivers of the relative richness of naturalized and invasive plant species on Earth. AoB Plants 11, plz051 (2019).PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Winkler, D. E., Gremer, J. R., Chapin, K. J., Kao, M. & Huxman, T. E. Rapid alignment of functional trait variation with locality across the invaded range of Sahara mustard (Brassica tournefortii). Am. J. Bot. 105, 1188–1197 (2018).PubMed 
    Article 

    Google Scholar 
    Divíšek, J. et al. Similarity of introduced plant species to native ones facilitates naturalization, but differences enhance invasion success. Nat. Commun. 9, 4631 (2018).PubMed 
    PubMed Central 
    Article 
    CAS 

    Google Scholar 
    Banerjee, A. K., Prajapati, J., Bhowmick, A. R., Huang, Y. & Mukherjee, A. Different factors influence naturalization and invasion processes – a case study of Indian alien flora provides management insights. J. Environ. Manag. 294, 113054 (2021).Article 

    Google Scholar 
    Ni, M. et al. Invasion success and impacts depend on different characteristics in non-native plants. Divers. Distrib. 27, 1194–1207 (2021).Article 

    Google Scholar 
    Fristoe, T. S. et al. Dimensions of invasiveness: links between local abundance, geographic range size, and habitat breadth in Europe’s alien and native floras. Proc. Natl Acad. Sci. USA 118, e2021173118 (2021).CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Omer, A. et al. Characteristics of the naturalized flora of Southern Africa largely reflect the non-random introduction of alien species for cultivation. Ecography 44, 1812–1825 (2021).Article 

    Google Scholar 
    Pyšek, P. et al. Naturalization of central European plants in North America: species traits, habitats, propagule pressure, residence time. Ecology 96, 762–774 (2015).PubMed 
    Article 

    Google Scholar 
    Omer, A., Kordofani, M., Gibreel, H. H., Pyšek, P. & van Kleunen, M. The alien flora of Sudan and South Sudan: taxonomic and biogeographical composition. Biol. Invasions 23, 2033–2045 (2021).Article 

    Google Scholar 
    Duncan, R. P. & Williams, P. A. Darwin’s naturalization hypothesis challenged. Nature 417, 608–609 (2002).CAS 
    PubMed 
    Article 

    Google Scholar 
    Daehler, C. C. Darwin’s naturalization hypothesis revisited. Am. Nat. 158, 324–330 (2001).CAS 
    PubMed 
    Article 

    Google Scholar 
    Pyšek, P. Is there a taxonomic pattern to plant invasions? Oikos 82, 282–294 (1998).Article 

    Google Scholar 
    Tan, J., Pu, Z., Ryberg, W. A. & Jiang, L. Resident–invader phylogenetic relatedness, not resident phylogenetic diversity, controls community invasibility. Am. Nat. 186, 59–71 (2015).PubMed 
    Article 

    Google Scholar 
    Thuiller, W. et al. Resolving Darwin’s naturalization conundrum: a quest for evidence. Divers. Distrib. 16, 461–475 (2010).Article 

    Google Scholar 
    Loiola, P. P. et al. Invaders among locals: alien species decrease phylogenetic and functional diversity while increasing dissimilarity among native community members. J. Ecol. 106, 2230–2241 (2018).Article 

    Google Scholar 
    Lososová, Z. et al. Alien plants invade more phylogenetically clustered community types and cause even stronger clustering. Glob. Ecol. Biogeogr. 24, 786–794 (2015).Article 

    Google Scholar 
    Marx, H. E., Giblin, D. E., Dunwiddie, P. W. & Tank, D. C. Deconstructing Darwin’s naturalization conundrum in the San Juan Islands using community phylogenetics and functional traits. Divers. Distrib. 22, 318–331 (2016).Article 

    Google Scholar 
    Darwin, C. On the Origin of Species by Means of Natural Selection or the Preservation of Favoured Races in the Struggle for Life (John Murray, 1859).Procheş, Ş., Wilson, J. R. U., Richardson, D. M. & Rejmánek, M. Searching for phylogenetic pattern in biological invasions. Glob. Ecol. Biogeogr. 17, 5–10 (2008).
    Google Scholar 
    Diez, J. M., Sullivan, J. J., Hulme, P. E., Edwards, G. & Duncan, R. P. Darwin’s naturalization conundrum: dissecting taxonomic patterns of species invasions. Ecol. Lett. 11, 674–681 (2008).PubMed 
    Article 

    Google Scholar 
    Cadotte, M. W., Campbell, S. E., Li, S. P., Sodhi, D. S. & Mandrak, N. E. Preadaptation and naturalization of nonnative species: Darwin’s two fundamental insights into species invasion. Annu Rev. Plant Biol. 69, 661–684 (2018).CAS 
    PubMed 
    Article 

    Google Scholar 
    van Kleunen, M., Bossdorf, O. & Dawson, W. The ecology and evolution of alien plants. Annu. Rev. Ecol. Evol. Syst. 49, 25–47 (2018).Article 

    Google Scholar 
    Park, D. S., Feng, X., Maitner, B. S., Ernst, K. C. & Enquist, B. J. Darwin’s naturalization conundrum can be explained by spatial scale. Proc. Natl Acad. Sci. USA 117, 10904–10910 (2020).CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Diez, J. M. et al. Learning from failures: testing broad taxonomic hypotheses about plant naturalization. Ecol. Lett. 12, 1174–1183 (2009).PubMed 
    Article 

    Google Scholar 
    Malecore, E. M., Dawson, W., Kempel, A., Müller, G. & van Kleunen, M. Nonlinear effects of phylogenetic distance on early-stage establishment of experimentally introduced plants in grassland communities. J. Ecol. 107, 781–793 (2019).Article 

    Google Scholar 
    Schaefer, H., Hardy, O. J., Silva, L., Barraclough, T. G. & Savolainen, V. Testing Darwin’s naturalization hypothesis in the Azores. Ecol. Lett. 14, 389–396 (2011).PubMed 
    Article 

    Google Scholar 
    Strauss, S. Y., Webb, C. O. & Salamin, N. Exotic taxa less related to native species are more invasive. Proc. Natl Acad. Sci. USA 103, 5841–5845 (2006).CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Li, S.-p. et al. The effects of phylogenetic relatedness on invasion success and impact: deconstructing Darwin’s naturalisation conundrum. Ecol. Lett. 18, 1285–1292 (2015).PubMed 
    Article 

    Google Scholar 
    Pellock, S., Thompson, A., He, K., Mecklin, C. & Yang, J. Validity of Darwin’s naturalization hypothesis relates to the stages of invasion. Community Ecol. 14, 172–179 (2013).Article 

    Google Scholar 
    Blackburn, T. M. et al. A proposed unified framework for biological invasions. Trends Ecol. Evol. 26, 333–339 (2011).PubMed 
    Article 

    Google Scholar 
    van Kleunen, M. et al. Economic use of plants is key to their naturalization success. Nat. Commun. 11, 3201 (2020).PubMed 
    PubMed Central 
    Article 
    CAS 

    Google Scholar 
    Broennimann, O. et al. Distance to native climatic niche margins explains establishment success of alien mammals. Nat. Commun. 12, 2353 (2021).CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Carboni, M. et al. What it takes to invade grassland ecosystems: traits, introduction history and filtering processes. Ecol. Lett. 19, 219–229 (2016).PubMed 
    Article 

    Google Scholar 
    Milbau, A. & Stout, J. C. Factors associated with alien plants transitioning from casual, to naturalized, to invasive. Conserv. Biol. 22, 308–317 (2008).PubMed 
    Article 

    Google Scholar 
    Dawson, W., Burslem, D. F. R. P. & Hulme, P. E. Factors explaining alien plant invasion success in a tropical ecosystem differ at each stage of invasion. J. Ecol. 97, 657–665 (2009).Article 

    Google Scholar 
    Rejmánek, M. in Invasive Species and Biodiversity Management (eds Schei, P. J. & Vilken, A.) 79–102 (Kluwer Academic, 1998).Rejmánek, M. A theory of seed plant invasiveness: the first sketch. Biol. Conserv. 78, 171–181 (1996).Article 

    Google Scholar 
    Maurel, N., Hanspach, J., Kuhn, I., Pysek, P. & van Kleunen, M. Introduction bias affects relationships between the characteristics of ornamental alien plants and their naturalization success. Glob. Ecol. Biogeogr. 25, 1500–1509 (2016).Article 

    Google Scholar 
    Glen, H. F. Cultivated Plants of Southern Africa: Botanical Names, Common Names, Origins, Literature (National Botanical Institute, 2002).Reichard, S. H. & White, P. Horticulture as a pathway of invasive plant introductions in the United States. Bioscience 51, 103–113 (2001).Article 

    Google Scholar 
    Faulkner, K. T., Robertson, M. P., Rouget, M. & Wilson, J. R. U. Understanding and managing the introduction pathways of alien taxa: South Africa as a case study. Biol. Invasions 18, 73–87 (2016).Article 

    Google Scholar 
    Dodd, A. J., Burgman, M. A., McCarthy, M. A. & Ainsworth, N. The changing patterns of plant naturalization in Australia. Divers. Distrib. 21, 1038–1050 (2015).Article 

    Google Scholar 
    Lambdon, P.-W. et al. Alien flora of Europe: species diversity, temporal trends, geographical patterns and research needs. Preslia 80, 101–149 (2008).
    Google Scholar 
    Bennett, B. M. Naturalising Australian trees in South Africa: climate, exotics and experimentation. J. South. Afr. Stud. 37, 265–280 (2011).Article 

    Google Scholar 
    Richardson, D. M. et al. in Biological Invasions in South Africa (eds van Wilgen, B. W. et al.) 67–96 (Springer, 2020).Li, S.-p. et al. Contrasting effects of phylogenetic relatedness on plant invader success in experimental grassland communities. J. Appl. Ecol. 52, 89–99 (2015).CAS 
    Article 

    Google Scholar 
    Duarte, M., Verdú, M., Cavieres, L. A. & Bustamante, R. O. Plant–plant facilitation increases with reduced phylogenetic relatedness along an elevation gradient. Oikos 130, 248–259 (2021).Article 

    Google Scholar 
    Verdú, M., Rey, P. J., Alcántara, J. M., Siles, G. & Valiente-Banuet, A. Phylogenetic signatures of facilitation and competition in successional communities. J. Ecol. 97, 1171–1180 (2009).Article 

    Google Scholar 
    Valiente-Banuet, A. & Verdu, M. Plant facilitation and phylogenetics. Annu. Rev. Ecol. Evol. Syst. 44, 347–366 (2013).Article 

    Google Scholar 
    Anacker, B. L. & Strauss, S. Y. Ecological similarity is related to phylogenetic distance between species in a cross-niche field transplant experiment. Ecology 97, 1807–1818 (2016).PubMed 
    Article 

    Google Scholar 
    Dostál, P. Plant competitive interactions and invasiveness: searching for the effects of phylogenetic relatedness and origin on competition intensity. Am. Nat. 177, 655–667 (2011).PubMed 
    Article 

    Google Scholar 
    Levin, S. C., Crandall, R. M., Pokoski, T., Stein, C. & Knight, T. M. Phylogenetic and functional distinctiveness explain alien plant population responses to competition. Proc. R. Soc. B 287, 20201070 (2020).CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Williams, E. W., Zeldin, J., Semski, W. R., Hipp, A. L. & Larkin, D. J. Phylogenetic distance and resource availability mediate direction and strength of plant interactions in a competition experiment. Oecologia 197, 459–469 (2021).PubMed 
    Article 

    Google Scholar 
    Bezeng, S. B., Davies, J. T., Yessoufou, K., Maurin, O. & Van der Bank, M. Revisiting Darwin’s naturalization conundrum: explaining invasion success of non-native trees and shrubs in Southern Africa. J. Ecol. 103, 871–879 (2015).Article 

    Google Scholar 
    Trotta, L. B., Siders, Z. A., Sessa, E. B. & Baiser, B. The role of phylogenetic scale in Darwin’s naturalization conundrum in the critically imperilled pine rockland ecosystem. Divers. Distrib. 27, 618–631 (2021).Article 

    Google Scholar 
    Sol, D. et al. A test of Darwin’s naturalization conundrum in birds reveals enhanced invasion success in the presence of close relatives. Ecol. Lett. 25, 661–672 (2022).PubMed 
    Article 

    Google Scholar 
    Smith, S. A. & Brown, J. W. Constructing a broadly inclusive seed plant phylogeny. Am. J. Bot. 105, 302–314 (2018).PubMed 
    Article 

    Google Scholar 
    Henderson, L. Comparisons of invasive plants in Southern Africa originating from southern temperate, northern temperate and tropical regions. Bothalia 36, 201–222 (2006).Article 

    Google Scholar 
    Cayuela, L., Stein, A. & Oksanen, J. Taxonstand: Taxonomic Standardization of Plant Species Names. R package version 2.2. https://CRAN.R-project.org/package=Taxonstand (R Foundation for Statistical Computing, Vienna, 2019).Weigelt, P., König, C. & Kreft, H. GIFT – A Global Inventory of Floras and Traits for macroecology and biogeography. J. Biogeogr. 47, 16–43 (2020).Article 

    Google Scholar 
    van Kleunen, M. et al. The Global Naturalized Alien Flora (GloNAF) database. Ecology 100, e02542 (2019).PubMed 
    Article 

    Google Scholar 
    Zengeya, T. A. & Wilson, J. R. (eds) The Status of Biological Invasions and Their Management in South Africa in 2019 (South African National Biodiversity Institute and DSI-NRF Centre of Excellence for Invasion Biology, 2021).Revell, L. J. phytools: an R package for phylogenetic comparative biology (and other things). Methods Ecol. Evol. 3, 217–223 (2012).Article 

    Google Scholar 
    R: A Language and Environment for Statistical Computing v.3.6.1 (R Foundation for Statistical Computing, 2019).Zuur, A. F., Ieno, E. N., Walker, N. J., Saveliev, A. A. & Smith, G. M. Mixed Effects Models and Extensions in Ecology with R Vol. 574 (Springer, 2009).Schielzeth, H. Simple means to improve the interpretability of regression coefficients. Methods Ecol. Evol. 1, 103–113 (2010).Article 

    Google Scholar 
    Nagelkerke, N. J. D. A note on a general definition of the coefficient of determination. Biometrika 78, 691–692 (1991).Article 

    Google Scholar 
    rcompanion: Functions to support extension education program evaluation v. 2.4.1 (R Foundation for Statistical Computing, 2021).Tung Ho, L. S. & Ané, C. A linear-time algorithm for Gaussian and non-Gaussian trait evolution models. Syst. Biol. 63, 397–408 (2014).Article 

    Google Scholar  More