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    Sense of doubt: inaccurate and alternate locations of virtual magnetic displacements may give a distorted view of animal magnetoreception ability

    Fransson, T. et al. Magnetic cues trigger extensive refuelling. Nature 414, 35–36 (2001).Article 
    CAS 
    PubMed 

    Google Scholar 
    Boles, L. C. & Lohmann, K. J. True navigation and magnetic maps in spiny lobsters. Nature 421, 60–63 (2003).Article 
    CAS 
    PubMed 

    Google Scholar 
    Naisbett-Jones, L. C. & Lohmann, K. J. Magnetoreception and magnetic navigation in fishes: a half-century of discovery. J. Comp. Physiol. A 2021, 1–22 (2022).Xu, J. et al. Magnetic sensitivity of cryptochrome 4 from a migratory songbird. Nature 594, 535–540 (2021).Article 
    CAS 
    PubMed 

    Google Scholar 
    Bellinger, M. R. et al. Conservation of magnetite biomineralization genes in all domains of life and implications for magnetic sensing. Proc. Natl Acad. Sci. USA 119, e2108655119 (2022).Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Boström, J. E., Åkesson, S. & Alerstam, T. Where on earth can animals use a geomagnetic bi-coordinate map for navigation? Ecography 35, 1039–1047 (2012).Article 

    Google Scholar 
    Muheim, R., Moore, F. & Phillips, J. Calibration of magnetic and celestial compass cues in migratory birds–a review of cue-conflict experiments. J. Exp. Biol. 209, 2–17 (2006).Article 
    PubMed 

    Google Scholar 
    Lohmann, K. J. & Lohmann, C. M. F. Sea turtles, lobsters, and oceanic magnetic maps. Mar. Freshw. Behav. Physiol. 39, 49–64 (2006).Freake, M. J., Muheim, R. & Phillips, J. B. Magnetic maps in animals: a theory comes of age? Q. Rev. Biol. 81, 327–347 (2006).Article 
    PubMed 

    Google Scholar 
    Johnsen, S. & Lohmann, K. J. The physics and neurobiology of magnetoreception. Nat. Rev. Neurosci. 2005 69 6, 703–712 (2005).CAS 

    Google Scholar 
    Hore, P. J. & Mouritsen, H. The radical-pair mechanism of magnetoreception. Annu. Rev. Biophys. 45, 299–344 (2016).Komolkin, A. V. et al. Theoretically possible spatial accuracy of geomagnetic maps used by migrating animals. J. R. Soc. Interface 14, 20161002 (2017).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Phillips, J. B., Borland, S. C., Freake, M. J., Brassart, J. & Kirschvink, J. L. ‘Fixed-axis’ magnetic orientation by an amphibian: non-shoreward-directed compass orientation, misdirected homing or positioning a magnetite-based map detector in a consistent alignment relative to the magnetic field? J. Exp. Biol. 205, 3903–3914 (2002).Article 
    PubMed 

    Google Scholar 
    Kishkinev, D. et al. Navigation by extrapolation of geomagnetic cues in a migratory songbird. Curr. Biol. 31, 1563–1569.e4 (2021).Article 
    CAS 
    PubMed 

    Google Scholar 
    Lohmann, K. J., Cain, S. D., Dodge, S. A. & Lohmann, C. M. F. Regional magnetic fields as navigational markers for sea turtles. Science 294, 364–366 (2001).Article 
    CAS 
    PubMed 

    Google Scholar 
    Boström, J. E. et al. Autumn migratory fuelling: a response to simulated magnetic displacements in juvenile wheatears, Oenanthe oenanthe. Behav. Ecol. Sociobiol. 64, 1725–1732 (2010).Article 

    Google Scholar 
    Lohmann, K. & Lohmann, C. Detection of magnetic inclination angle by sea turtles: a possible mechanism for determining latitude. J. Exp. Biol. 194, 23–32 (1994).Article 
    CAS 
    PubMed 

    Google Scholar 
    Fuxjager, M. J., Eastwood, B. S. & Lohmann, K. J. Orientation of hatchling loggerhead sea turtles to regional magnetic fields along a transoceanic migratory pathway. J. Exp. Biol. 214, 2504–2508 (2011).Article 
    PubMed 

    Google Scholar 
    Putman, N. F., Endres, C. S., Lohmann, C. M. F. & Lohmann, K. J. Longitude perception and bicoordinate magnetic maps in sea turtles. Curr. Biol. 21, 463–466 (2011).Article 
    CAS 
    PubMed 

    Google Scholar 
    Scanlan, M. M., Putman, N. F., Pollock, A. M. & Noakes, D. L. G. Magnetic map in nonanadromous Atlantic salmon. Proc. Natl Acad. Sci. USA 23, 10995–10999 (2018).Article 

    Google Scholar 
    Pakhomov, A. et al. Magnetic map navigation in a migratory songbird requires trigeminal input. Sci. Rep. 8, 1–6 (2018).Article 
    CAS 

    Google Scholar 
    Chernetsov, N. et al. Migratory Eurasian reed warblers can use magnetic declination to solve the longitude problem. Curr. Biol. 27, 2647–2651.e2 (2017).Article 
    CAS 
    PubMed 

    Google Scholar 
    Kishkinev, D., Chernetsov, N., Pakhomov, A., Heyers, D. & Mouritsen, H. Eurasian reed warblers compensate for virtual magnetic displacement. Curr. Biol. 25, R822–R824 (2015).Article 
    CAS 
    PubMed 

    Google Scholar 
    Chernetsov, N., Pakhomov, A., Davydov, A., Cellarius, F. & Mouritsen, H. No evidence for the use of magnetic declination for migratory navigation in two songbird species. PLoS One 15, e0232136 (2020).Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Bulte, M., Heyers, D., Mouritsen, H. & Bairlein, F. Geomagnetic information modulates nocturnal migratory restlessness but not fueling in a long distance migratory songbird. J. Avian Biol. 48, 75–82 (2017).Article 

    Google Scholar 
    Kullberg, C., Lind, J., Fransson, T., Jakobsson, S. & Vallin, A. Magnetic cues and time of season affect fuel deposition in migratory thrush nightingales (Luscinia luscinia). Proc. R. Soc. Lond. Ser. B Biol. Sci. 270, 373–378 (2003).Article 

    Google Scholar 
    Henshaw, I. et al. Food intake and fuel deposition in a migratory bird is affected by multiple as well as single-step changes in the magnetic field. J. Exp. Biol. 211, 649–653 (2008).Article 
    PubMed 

    Google Scholar 
    Henshaw, I., Fransson, T., Jakobsson, S., Jenni-Eiermann, S. & Kullberg, C. Information from the geomagnetic field triggers a reduced adrenocortical response in a migratory bird. J. Exp. Biol. 212, 2902–2907 (2009).Article 
    PubMed 

    Google Scholar 
    Henshaw, I., Fransson, T., Jakobsson, S. & Kullberg, C. Geomagnetic field affects spring migratory direction in a long distance migrant. Behav. Ecol. Sociobiol. 64, 1317–1323 (2010).Article 

    Google Scholar 
    Ilieva, M., Bianco, G. & Åkesson, S. Effect of geomagnetic field on migratory activity in a diurnal passerine migrant, the dunnock, Prunella modularis. Anim. Behav. 146, 79–85 (2018).Article 

    Google Scholar 
    Kullberg, C., Henshaw, I., Jakobsson, S., Johansson, P. & Fransson, T. Fuelling decisions in migratory birds: geomagnetic cues override the seasonal effect. Proc. R. Soc. B Biol. Sci. 274, 2145–2151 (2007).Article 

    Google Scholar 
    Boström, J. E., Kullberg, C. & Åkesson, S. Northern magnetic displacements trigger endogenous fuelling responses in a naive bird migrant. Behav. Ecol. Sociobiol. 66, 819–821 (2012).Article 

    Google Scholar 
    Ilieva, M., Bianco, G. & Åkesson, S. Does migratory distance affect fuelling in a medium-distance passerine migrant?: results from direct and step-wise simulated magnetic displacements. Biol. Open 5, 272–278 (2016).Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Putman, N. F. et al. An inherited magnetic map guides ocean navigation in Juvenile Pacific Salmon. Curr. Biol. 24, 446–450 (2014).Article 
    CAS 
    PubMed 

    Google Scholar 
    Putman, N. F., Meinke, A. M. & Noakes, D. L. G. Rearing in a distorted magnetic field disrupts the ‘map sense’ of juvenile steelhead trout. Biol. Lett. 10, 20140169 (2014).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Putman, N. F., Williams, C. R., Gallagher, E. P. & Dittman, A. H. A sense of place: Pink salmon use a magnetic map for orientation. J. Exp. Biol. 223, jeb218735 (2020).Article 
    PubMed 

    Google Scholar 
    Naisbett-Jones, L. C., Putman, N. F., Stephenson, J. F., Ladak, S. & Young, K. A. A magnetic map leads juvenile European eels to the Gulf stream. Curr. Biol. 27, 1236–1240 (2017).Article 
    CAS 
    PubMed 

    Google Scholar 
    Keller, B. A., Putman, N. F., Grubbs, R. D., Portnoy, D. S. & Murphy, T. P. Map-like use of Earth’s magnetic field in sharks. Curr. Biol. 31, 2881–2886.e3 (2021).Article 
    CAS 
    PubMed 

    Google Scholar 
    Putman, N. F., Verley, P., Endres, C. S. & Lohmann, K. J. Magnetic navigation behavior and the oceanic ecology of young loggerhead sea turtles. J. Exp. Biol. 218, 1044–1050 (2015).Article 
    PubMed 

    Google Scholar 
    Fuxjager, M. J., Davidoff, K. R., Mangiamele, L. A. & Lohmann, K. J. The geomagnetic environment in which sea turtle eggs incubate affects subsequent magnetic navigation behaviour of hatchlings. Proc. R. Soc. London Ser. B Biol. Sci. https://doi.org/10.1098/rspb.2014.1218 (2014).Lohmann, K. J., Lohmann, C. M. F., Ehrhart, L. M., Bagley, D. A. & Swing, T. Geomagnetic map used in sea-turtle navigation. Nature 428, 909–910 (2004).Article 
    CAS 
    PubMed 

    Google Scholar 
    Merrill, M. W. & Salmon, M. Magnetic orientation by hatchling loggerhead sea turtles (Caretta caretta) from the Gulf of Mexico. Mar. Biol. 158, 101–112 (2011).Article 

    Google Scholar 
    Wynn, J. et al. Magnetic stop signs signal a European songbird’s arrival at the breeding site after migration. Science 375, 446–449 (2022).Article 
    CAS 
    PubMed 

    Google Scholar 
    McLaren, J., Schmaljohann, H. & Blasius, B. Self-correcting sun compass, spherical geometry and cue-transfers predict naïve migratory performance. PREPRINT (Version 1) available at Research Square. https://doi.org/10.21203/RS.3.RS-996110/V1 (2021).Wynn, J. et al. How might magnetic secular variation impact avian philopatry? J. Comp. Physiol. A Neuroethol. Sens., Neural, Behav. Physiol. 208, 145–154 (2022).Article 
    PubMed 

    Google Scholar 
    Walker, M. M. & Bitterman, M. E. Short communication: honeybees can be trained to respond to very small changes in geomagnetic field intensity. J. Exp. Biol. 145, 489–494 (1989).Article 

    Google Scholar 
    Semm, P. & Beason, R. C. Responses to small magnetic variations by the trigeminal system of the bobolink. Brain Res. Bull. 25, 735–740 (1990).Article 
    CAS 
    PubMed 

    Google Scholar 
    Phillips, J. B., Michael, A. E., Freake, J., Fischer, J. H. & Borland, A. S. C. Behavioral titration of a magnetic map coordinate. J. Comp. Physiol. A 157–160 (2002).Hays, G. C. et al. Travel routes to remote ocean targets reveal the map sense resolution for a marine migrant. J. R. Soc. Interface 19, 20210859 (2022).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Fischer, J. H., Munro, U. & Phillips, J. B. Magnetic navigation by an avian migrant? Avian Migration. 423–432 https://doi.org/10.1007/978-3-662-05957-9_30 (2003).Deutschlander, M. E., Phillips, J. & Munro, U. Age-dependent orientation to magnetically-simulated geographic displacements in migratory Australian Silvereyes (Zosterops l. lateralis). Wilson J. Ornithol. 124, 467–477 (2012).Article 

    Google Scholar  More

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    Directional asymmetry in gonad length indicates moray eels (Teleostei, Anguilliformes, Muraenidae) are “right-gonadal”

    Graham, J. H., Raz, S., Hel-Or, H. & Nevo, E. Fluctuating asymmetry: Methods, theory, and applications. Symmetry 2(2), 466–540 (2010).ADS 
    MathSciNet 

    Google Scholar 
    Graham, J. H., Emlen, J. M., Freeman, D. C., Leamy, L. J. & Kieser, J. A. Directional asymmetry and the measurement of developmental instability. Biol. J. Lin. Soc. 64(1), 1–16 (1998).
    Google Scholar 
    Dongen, V., Lensm, L. & Molenberghs, G. Mixture analysis of asymmetry: Modelling directional asymmetry, antisymmetry and heterogeneity in fluctuating asymmetry. Ecol. Lett. 2(6), 387–396 (1999).
    Google Scholar 
    Palmer, A. R. Symmetry breaking and the evolution of development. Science 306(5697), 828–833 (2004).ADS 
    CAS 
    PubMed 

    Google Scholar 
    Møller, A. P. Directional selection on directional asymmetry: Testes size and secondary sexual characters in birds. Proc. R. Soc. Lond. Ser. B Biol. Sci. 258(1352), 147–151 (1994).ADS 

    Google Scholar 
    Allenbach, D. M. Fluctuating asymmetry and exogenous stress in fishes: A review. Rev. Fish Biol. Fish. 21(3), 355–376 (2011).
    Google Scholar 
    Werner, Y. L., Rothenstein, D. & Sivan, N. Directional asymmetry in reptiles (Sauria: Gekkonidae: Ptyodactylus) and its possible evolutionary role, with implications for biometrical methodology. J. Zool. 225(4), 647–658 (1991).
    Google Scholar 
    Loehr, J. et al. Asymmetry in threespine stickleback lateral plates. J. Zool. 289(4), 279–284 (2013).
    Google Scholar 
    Bell, M. A., Khalef, V. & Travis, M. P. Directional asymmetry of pelvic vestiges in threespine stickleback. J. Exp. Zool. B Mol. Dev. Evol. 308(2), 189–199 (2007).PubMed 

    Google Scholar 
    Somarakis, S., Kostikas, I. & Tsimenides, N. Fluctuating asymmetry in the otoliths of larval fish as an indicator of condition: Conceptual and methodological aspects. J. Fish Biol. 51, 30–38 (1997).
    Google Scholar 
    Ratty, F. J., Laurs, R. M. & Kelly, R. M. Gonad morphology, histology, and spermatogenesis in South Pacific albacore tuna Thunnus alalunga (Scombridae). Fish. Bull. 88, 207–216 (1989).
    Google Scholar 
    Harrod, C. & Griffiths, D. Parasitism, space constraints, and gonad asymmetry in the pollan (Coregonus autumnalis). Can. J. Fish. Aquat. Sci. 62(12), 2796–2801 (2005).
    Google Scholar 
    Park, I. S., Zhang, C. I., Kim, Y. J. & Bang, I. C. Directional asymmetry of gonadal development in Ayu (Plecoglossus altivelis). Fish. Aquat. Sci. 8(4), 207–212 (2005).
    Google Scholar 
    Bernet, D., Wahli, T., Kueng, C. & Segner, H. Frequent and unexplained gonadal abnormalities in whitefish (central alpine Coregonus sp.) from an alpine oligotrophic lake in Switzerland. Dis. Aquat. Org. 61(1–2), 137–148 (2004).CAS 

    Google Scholar 
    Bittner, D. et al. How normal is abnormal? Discrimination between deformations and natural variation in gonad morphology of European whitefish Coregonus lavaretus. J. Fish Biol. 74(7), 1594–1614 (2009).CAS 
    PubMed 

    Google Scholar 
    Fricke, R., Eschmeyer, W. N. & R. van der Laan (eds) 2022. Eschmeyer’s Catalog of Fishes: Genera, Species, References. (http://researcharchive.calacademy.org/research/ichthyology/catalog/fishcatmain.asp). Electronic version Accessed 31 12 2022).Chen, H. M., Shao, K. T. & Chen, C. T. A review of the muraenid eels (Family Muraenidae) from Taiwan with descriptions of twelve new records. Zool. Stud. 33(1), 44–64 (1994).
    Google Scholar 
    Chen, H. M., Loh, K. H. & Shao, K. T. A new species of moray eel, Gymnothorax taiwanensis (Anguilliformes: Muraenidae) from eastern Taiwan. Raffles Bull. Zool. 19, 131–134 (2008).
    Google Scholar 
    Loh, K. H., Shao, K. T. & Chen, H. M. Gymnothorax melanosomatus, a new moray eel (Teleostei: Anguilliformes: Muraenidae) from southeastern Taiwan. Zootaxa 3134(1), 43–52 (2011).
    Google Scholar 
    Loh, K. H., Shao, K. T., Ho, H. C., Lim, P. E. & Chen, H. M. A new species of moray eel (Anguilliformes: Muraenidae) from Taiwan, with comments on related elongate unpatterned species. Zootaxa 4060(1), 30–40 (2015).PubMed 

    Google Scholar 
    Huang, W. C., Mohapatra, A., Thu, P. T., Chen, H. M. & Liao, T. Y. A review of the genus Strophidon (Anguilliformes: Muraenidae), with description of a new species. J. Fish Biol. 97(5), 1462–1480 (2020).PubMed 

    Google Scholar 
    Huang, W. C., Smith, D. G., Loh, K. H. & Liao, T. Y. Two New Moray Eels of Genera Diaphenchelys and Gymnothorax (Anguilliformes: Muraenidae) from Taiwan and the Philippines. Zool. Stud. 60, e24 (2021).Matić-Skoko, S. et al. Mediterranean moray eel Muraena helena (Pisces: Muraenidae): biological indices for life history. Aquat. Biol. 13(3), 275–284 (2011).
    Google Scholar 
    Fishelson, L. Comparative gonad morphology and sexuality of the Muraenidae (Pisces, Teleostei). Copeia 1992, 197–209 (1992).Froese, R. & D. Pauly. Editors. 2022.FishBase. World Wide Web electronic publication. www.fishbase.org. Accessed March 2022.Almany, G. R. Differential effects of habitat complexity, predators and competitors on abundance of juvenile and adult coral reef fishes. Oecologia 141(1), 105–113 (2004).ADS 
    PubMed 

    Google Scholar 
    Hixon, M. A. & Beets, J. P. Predation, prey refuges, and the structure of coral-reef fish assemblages. Ecol. Monogr. 63(1), 77–101 (1993).
    Google Scholar 
    Muñoz, R. C. Evidence of natural predation on invasive lionfish, Pterois s, by the spotted moray eel, Gymnothorax moringa. Bull. Marine Sci. 93(3), 789–790 (2017).
    Google Scholar 
    Bos, A. R., Sanad, A. M. & Elsayed, K. Gymnothorax spp. (Muraenidae) as natural predators of the lionfish Pterois miles in its native biogeographical range. Environ. Biol. Fish. 100(6), 745–748 (2017).
    Google Scholar 
    Bshary, R., Hohner, A., Ait-el-Djoudi, K. & Fricke, H. Interspecific communicative and coordinated hunting between groupers and giant moray eels in the Red Sea. PLoS Biol. 4(12), e431 (2006).PubMed 
    PubMed Central 

    Google Scholar 
    Hedrick, B. P., Antalek-Schrag, P., Conith, A. J., Natanson, L. J. & Brennan, P. L. Variability and asymmetry in the shape of the spiny dogfish vagina revealed by 2D and 3D geometric morphometrics. J. Zool. 308(1), 16–27 (2019).
    Google Scholar 
    Winters, G. H. Fecundity of the left and right ovaries of Grand Bank capelin (Mallotus villosus). J. Fish. Board Can. 28(7), 1029–1033 (1971).
    Google Scholar 
    Huang, L.Y. Reproductive biology of Gymnothorax reticularis from the waters off northeastern Taiwan. Master Thesis, Department of Aquaculture, College of Life Sciences, National Taiwan Ocean University, Keelung, Taiwan (2008).Loh, K.H. Molecular phylogeny and reproductive biology of moray eels (Muraenidae) around Taiwan. Ph.D. Thesis, Department of Aquaculture, College of Life Sciences, National Taiwan Ocean University, Keelung, Taiwan (2009).Calhim, S. & Birkhead, T. R. Intraspecific variation in testis asymmetry in birds: evidence for naturally occurring compensation. Proc. R. Soc. B Biol. Sci. 276(1665), 2279–2284 (2009).
    Google Scholar 
    Palmer, A. R. What determines direction of asymmetry: Genes, environment or chance?. Philos. Trans. R. Soc. B Biol. Sci. 371(1710), 20150417 (2016).
    Google Scholar 
    Calhim, S. & Montgomerie, R. Testis asymmetry in birds: The influences of sexual and natural selection. J. Avian Biol. 46(2), 175–185 (2015).
    Google Scholar 
    Johnson, G. D. Revisions of anatomical descriptions of the pharyngeal jaw apparatus in moray eels of the family Muraenidae (Teleostei: Anguilliformes). Copeia 107(2), 341–357 (2019).MathSciNet 

    Google Scholar 
    Blackburn, D. G. Structure, function, and evolution of the oviducts of squamate reptiles, with special reference to viviparity and placentation. J. Exp. Zool. 282(4–5), 560–617 (1998).CAS 
    PubMed 

    Google Scholar 
    Guioli, S. et al. Gonadal asymmetry and sex determination in birds. Sex. Dev. 8(5), 227–242 (2014).CAS 
    PubMed 

    Google Scholar 
    Witschi, E. Origin of asymmetry in the reproductive system of birds. Am. J. Anat. 56(1), 119–141 (1935).
    Google Scholar 
    Ramirez-Llodra, E. et al. Deep, diverse and definitely different: Unique attributes of the world’s largest ecosystem. Biogeosciences 7(9), 2851–2899 (2010).ADS 

    Google Scholar 
    Calhim, S., Pruett-Jones, S., Webster, M. S. & Rowe, M. Asymmetries in reproductive anatomy: insights from promiscuous songbirds. Biol. J. Lin. Soc. 128(3), 569–582 (2019).
    Google Scholar 
    Quillet, E., Labbe, L. & Queau, I. Asymmetry in sexual development of gonads in intersex rainbow trout. J. Fish Biol. 64(4), 1147–1151 (2004).
    Google Scholar 
    Burnham, K. P. & Anderson, D. R. Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach 2nd edn. (Springer, 2002).MATH 

    Google Scholar 
    R Core Team. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org/ (2022).Lin, Y. J., Qurban, M. A., Shen, K. N. & Chao, N. L. Delimitation of Tiger-tooth croaker Otolithes species (Teleostei: Sciaenidae) from the Western Arabian Gulf using an integrative approach, with a description of Otolithes arabicus sp. nov. Zool. Stud. 58, 10 (2019).
    Google Scholar 
    Bodenhofer, U., Bonatesta, E., Horejs-Kainrath, C. & Hochreiter, S. msa: An R package for multiple sequence alignment. Bioinformatics 31(24), 3997–9999 (2015).CAS 
    PubMed 

    Google Scholar 
    Paradis, E. & Schliep, K. ape 5.0: An environment for modern phylogenetics and evolutionary analyses in R. Bioinformatics 35, 526–528 (2019).CAS 
    PubMed 

    Google Scholar 
    Oksanen, J., Blanchet, F. G., Friendly, M., Kindt, R., Legendre, P., McGlinn, D., Minchin, P. R., O’Hara, R. B., Simpson, G. L., Solymos, P., Stevens, M. H. H., Szoecs E. & Wagner, H. vegan: Community Ecology Package. R package version 2.5–7. https://CRAN.R-project.org/package=vegan (2020).Clarke, K. R. & Warwick, R. M. A taxonomic distinctness index and its statistical properties. J. Appl. Ecol. 35(4), 523–531 (1998).
    Google Scholar 
    Murtagh, F. & Legendre, P. Ward’s hierarchical agglomerative clustering method: which algorithms implement Ward’s criterion?. J. Classif. 31(3), 274–295 (2014).MathSciNet 
    MATH 

    Google Scholar 
    Legendre, P. & Legendre, L. Numerical Ecology (Elsevier, 2012).MATH 

    Google Scholar  More

  • in

    Author Correction: Prioritizing India’s landscapes for biodiversity, ecosystem services and human well-being

    These authors contributed equally: Arjun Srivathsa, Divya Vasudev, Tanaya Nair, Jagdish Krishnaswamy, Uma Ramakrishnan.National Centre for Biological Science, TIFR, Bengaluru, IndiaArjun Srivathsa, Tanaya Nair, Mahesh Sankaran & Uma RamakrishnanWildlife Conservation Society-India, Bengaluru, IndiaArjun SrivathsaConservation Initiatives, Guwahati, IndiaDivya Vasudev & Varun R. GoswamiDivision of Biosciences, University College London, London, UKTanaya NairDepartments of Biology and Environmental Studies, Macalester College, Saint Paul, MN, USAStotra ChakrabartiWorld Wildlife Fund, Delhi, IndiaPranav Chanchani, Arpit Deomurari, Dipankar Ghose & Prachi ThatteDepartment of Ecology, Evolution and Environmental Biology, Columbia University, New York, NY, USARuth DeFriesAmity Institute of Forestry and Wildlife, Amity University, Noida, IndiaArpit DeomurariWildlife Institute of India, Dehradun, IndiaSutirtha DuttaFoundation for Ecological Research, Advocacy and Learning, Bengaluru, IndiaRajat Nayak & Srinivas VaidyanathanNetwork for Conserving Central India, Gurgaon, IndiaAmrita NeelakantanWorld Resources Institute, New Delhi, IndiaMadhu VermaSchool of Environment and Sustainability, Indian Institute for Human Settlements, Bengaluru, IndiaJagdish KrishnaswamyAshoka Trust for Research in Ecology and the Environment, Bengaluru, IndiaJagdish KrishnaswamyBiodiversity Collaborative, Bengaluru, IndiaJagdish Krishnaswamy, Mahesh Sankaran & Uma Ramakrishnan More

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    Individual structure mapping over six million trees for New York City USA

    Study area and field dataThe dataset was generated over NYC, located in the north-eastern United States (40.713° N, 74.006° W). NYC has a total area of 778.2 km2, which is composed of five boroughs, i.e. Brooklyn, Queens, Manhattan, Bronx, and Staten Island (Fig. 1). There were 296 field plots randomly sampled (Fig. 1a) and measured in the summer of 2013 over NYC following the i-Tree Eco protocols9 developed by the United State Department of Agriculture Forest Service (USFS). Each plot occupied a circular area of 404.7 m2. All the trees with a Diameter at Breast Height (DBH) larger than 2.54 cm were surveyed to record their tree height, species, DBH, and other structural attributes. Within all the 296 plots across NYC, there were 1,075 trees in 139 species surveyed. The species types with the top ten largest sample size were Acer platanoides (65 samples), Cedrus species (59 samples), Ailanthus altissima (58 samples), Sassafras albidum (56 samples), Quercus alba (51 samples), Betula lenta (42 samples), Robinia pseudoacacia (39 samples), Acer rubrum (38 samples), and Hardwood species (37 samples). Because the exact coordinates of individual trees were not collected, we mainly used the plot-level tree attributes (i.e. tree number, mean tree height, and maximum tree height) to validate LiDAR-derived products. Due to confidential requirements, the exact coordinates of field plots were not allowed to be released.Fig. 1The distribution of field plots across five regions in New York City (NYC) borough (a). The land cover map over the entire NYC with seven land cover types (b). The summary of identified trees from remotely sensed datasets across five regions (c), and the tree density map over each block group in NYC (d).Full size imageAerial image and land cover mapsA fine-resolution land cover dataset (0.91 m spatial resolution) provided via NYC OpenData (https://opendata.cityofnewyork.us/) was used to mask out non-vegetation areas. This land cover dataset was generated using an object-based image classification method5 from LiDAR data collected in 2010 and NAIP aerial imageries in 2009. This final land cover map includes seven classes, i.e., tree canopy, grass/shrub, bare earth, water, buildings, roads, and other paved surfaces (Fig. 1b). We regrouped the land cover map into vegetation (tree canopy and grass/shrub) and non-vegetation groups, and resampled the map into 1 m resolution to match with NAIP and LiDAR datasets. We also collected NAIP imagery in the summer of 2013 for tree structural estimation from the Google Earth Engine platform36. The NAIP image had a resolution of 1 m with four spectral bands (Red, Green, Blue, and Near Infrared). We further calculated the NDVI from the Red and Near Infrared bands of NAIP images for tree structural estimation.LiDAR data and processingThe LiDAR data were collected using a Leica ALS70 LiDAR system from two flight missions (https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/4920/index.html). The first LiDAR flight was taken on August 5th, 2013 at 2,286 m above ground level with an average side lap of 30%. The LiDAR data from this flight had a nominal pulse spacing of 0.91 m. The second flight was taken between March and April, 2014 at 2,286 m above ground level with an averaged side lap of 25% and a nominal pulse spacing of 0.7 m. According to the ground control survey, the LiDAR scan had a root mean square error accuracy of 9.25 cm. With up to 7 returns per pulse, the final LiDAR dataset has a point density of 5.9 points/m2.The tree structural information was mainly generated from LiDAR-derived CHM. The CHM was the difference between Digital Surface Model (DSM) and Digital Terrain Model (DTM) generated from LiDAR point clouds using the Kriging interpolation method37. All the raster layers (CHM, DSM, DTM) were generated at 1 m resolution using the LiDAR360 software (GreenValley International). We generated a Tree Canopy Cover (TCC) map by masking out non-vegetation land cover types from areas with CHM values larger than 2 m. The TCC was a binary map with the value of one indicating tree cover and zero indicating non-tree cover at 1 m resolution. The non-vegetation areas were derived from the land cover map (Fig. 1b). The 2 m tree canopy height threshold was chosen by referencing a commonly accepted canopy height threshold38.Individual tree segmentation and feature estimationIndividual tree crowns were segmented from LiDAR-derived CHM using the Marker-controlled Watershed Segmentation algorithm. This algorithm was widely adopted for LiDAR-based tree crown segmentation25,26,29 because it takes the advantages of both region-growing and edge-detection methods39. Due to the relatively low LiDAR point density, the CHM contained abnormal pits even after masking out non-tree-canopy pixels. We applied a Gaussian filter with two standard deviations to smooth the CHM and fill these pits in CHM. Then the segmentation was applied with a 3 × 3 moving window. Both smoothing and segmentation were conducted using the System for Automated Geoscientific Analyses software40. To refine the segmentation results, we deleted small segments with an area smaller than 1 m2 (one CHM pixel), which was most likely to be noise in CHM. We also visually examined and manually re-segmented extremely large segments by assuming most tree crowns should not exceed an area of 200 m2. The final tree crown dataset only contains segments with a maximum CHM value no less than 5 m because vegetation with lower height was mostly likely to be non-tree. All the post-segmentation operations were conducted in ESRI ArcMap 10.8.We estimated five tree structural features for each individual trees, which include tree top height, tree mean height, crown area, tree volume, and carbon storage. Tree top height (m) characterizes the height from ground to tree top, estimated as the maximum CHM value within each tree crown segment. Tree mean height (m) indicates the average height of the tree crown surface, calculated as the mean CHM values within each tree segment. Tree crown area (m2) is the total area of each tree crown segment. Tree volume (m3) is the volume of 3D space occupied by the tree crown25, which was calculated as the volume difference between crown surface (defined by CHM) and crown base (Eq. 1). Because the tree crown base height was difficult to estimate for individual trees due to the relatively low LiDAR point density, we used the 2 m to approximate the averaged crown base height according to Ma et al.25. The sensitivities of crown volume to the selection of crown base height from 1 m to 5 m was presented in the Technical Validation section.$$Volume={sum }_{i=1}^{n}left(CHMi-crown;base;heightright)times 1{m}^{2}$$
    (1)
    Where CHMi is the CHM values of the ith pixels within a tree segment, n is the total number of pixels within a tree segment. 1m2 is the area of each CHM pixel.The carbon storage (ton) was defined as the total carbon stock in both above- and below-ground biomass of each tree. The carbon storage was estimated in two steps: (1) calculating tree biomass from field measurements using allometric equations41; (2) running a regression between field measured carbon storage and LiDAR-derived tree structural features42 and applying the regression model to individual trees. In step (1), we applied species-specific allometric equations from i-Tree Eco database. There are more than 50 species-specific equations in i-Tree Eco, which can be summarised into four main equation forms with different coefficient values (Eqs. 2–5).$$Biomass=exp left({beta }_{1}+{beta }_{2}ast LNleft(DBHright)+frac{{sigma }^{2}}{2}right)$$
    (2)
    $$Biomass=exp left({beta }_{1}+{beta }_{2}ast LNleft({{rm{DBH}}}^{2}ast {rm{H}}right)+frac{{sigma }^{2}}{2}right)$$
    (3)
    $$Biomass={beta }_{1}ast left(DB{H}^{{beta }_{2}}right)$$
    (4)
    $$Biomass={beta }_{1}ast left({left({{rm{DBH}}}^{2}ast {rm{H}}right)}^{{beta }_{2}}right)$$
    (5)
    Where β1 and β2 are species-specific coefficients, DBH is diameter at breast height, H is tree top height, σ2 is the variance of model errors, which is applied to correct the potential underestimations when back-transforming predictions from logarithmic scale to original scale. For other species that were not included in the i-Tree Eco database, the averaged results from the four equations were applied. These allometric equations (Eqs. 2–5) estimate the entire tree biomass including both above- and below-ground biomass, and the final carbon storage for each field plot was converted to carbon by a factor of 0.541.In step 2), we compared different regression models to simulate carbon storage at plot scale using LiDAR data and NAIP imagery. First, we compared the single variable regression for carbon storage from NAIP-derived NDVI, LiDAR-derived TCC, LiDAR-derived CHMmean and CHMmax, respectively. The four metrics were calculated at 1 m resolution, masked out non-vegetation areas, and aggregated over each field plot. TCC was calculated as the percentage area with tree cover (CHM >2 m). CHMmean and CHMmax were calculated as the mean and maximum of all CHM values within each plot. We compared different regression algorithms, including linear, exponential, and quadratic regressions. We also compared the modelling efficiency and accuracy between using single and multiple variables by combing all the attributes together using the Random Forest regression model. Using the optimal regression model, we generated a carbon density map at 20 m spatial resolution (each pixel size is similar to the plot size of 404.7 m2) by dividing the total carbon storage by the pixel size (400 m2) in the unit of ton/ha (Eq. 6). More details of carbon density estimation can be found in our previous publication42. The carbon storage for each tree was calculated as the product of crown area and crown density (Eq. 7).$$Carbon;densityleft(ton/haright)=0.5ast Biomass(ton)/left(400left({m}^{2}right)ast 0.0001left(ha/{m}^{2}right)right)$$
    (6)
    $$Carbon;storageleft(tonright)=Crown;arealeft(haright)ast Carbon;density(ton/ha)$$
    (7)
    Where Biomass is the total biomass for each pixel, which was 400 m2. ha is short for hectare, which is 10000 m2.We further quantified the uncertainty range in carbon storage estimation by propagating the potential error in carbon density regression to tree level carbon storage estimation. We first calculated the 95% confidence interval of the best carbon density regression model, and applied the confidence interval to carbon storage estimation for individual trees. The predicted the upper and lower values for individual tree carbon storage were given in the final dataset and summarized in Table 1.Table 1 A summary of the individual tree carbon storage prediction (Carbon) and their lower (Carbon_lower) and upper (Carbon_upper) values. The minimum (min), maximum (max), mean, standard deviation (std), first quartile (q25), median, and third quartile (q75) values of individual tree carbon storage are presented.Full size tableBlock group level tree structure distribution mappingThree sets of tree structural parameters were mapped at block group level, including tree density (the number of trees in each hectare), tree height (m), and carbon density (ton/ha). The mean values of tree density, tree top height, and carbon density within each block group of NYC. The block group boundary was downloaded from https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.2014.html, which includes a total of 6392 block groups.We also estimated the potential tree height and carbon density at the census block group level. We assumed the 95% of the tree height and carbon storage values within each block group at mapping time were their potential values, which most trees can achieve during their life time. Then, we calculated the difference in tree height and carbon density between potential values (95%) and mapping time values (mean) over each block group, and used them as the extra carbon storage that trees could achieve during their life time. It is to be noticed that in this study we did not consider the carbon loss by tree degradation or removal, or extra carbon gain through the tree planting and management. More

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    Impacts of water hardness and road deicing salt on zooplankton survival and reproduction

    Herbert, E. R. et al. A global perspective on wetland salinization: Ecological consequences of a growing threat to freshwater wetlands. Ecosphere. https://doi.org/10.1890/es14-00534.1 (2015).Article 

    Google Scholar 
    Kelly, V. R. et al. Long-term sodium chloride retention in a rural watershed: Legacy effects of road salt on streamater concentration. Environ. Sci. Tech. 42, 410–415. https://doi.org/10.1021/es071391l (2008).Article 
    CAS 

    Google Scholar 
    Tiwari, A. & Rachlin, J. W. A review of road salt ecological impacts. Northeast. Nat. 25, 123–142. https://doi.org/10.1656/045.025.0110 (2018).Article 

    Google Scholar 
    Hintz, W. D. & Relyea, R. A. A review of the species, community, and ecosystem impacts of road salt salinisation in fresh waters. Freshwater Biol. 64, 1081–1097. https://doi.org/10.1111/fwb.13286 (2019).Article 

    Google Scholar 
    Dugan, H. A. et al. Salting our freshwater lakes. Proc. Natl. Acad. of Sci. U.S.A 114, 4453–4458. https://doi.org/10.1073/pnas.1620211114 (2017).Article 
    ADS 
    CAS 

    Google Scholar 
    Kaushal, S. S. et al. Increased salinization of fresh water in the northeastern United States. Proc. Natl. Acad. of Sci. U.S.A. 102, 13517–13520. https://doi.org/10.1073/pnas.0506414102 (2005).Article 
    ADS 
    CAS 

    Google Scholar 
    Kaushal, S. S. et al. Freshwater salinization syndrome: from emerging global problem to managing risks. Biogeochemistry 154, 255–292. https://doi.org/10.1007/s10533-021-00784-w (2021).Article 

    Google Scholar 
    Kaushal, S. S. et al. Freshwater salinization syndrome on a continental scale. Proc. Natl. Acad. of Sci. U.S.A. 115, E574–E583. https://doi.org/10.1073/pnas.1711234115 (2018).Article 
    CAS 

    Google Scholar 
    Hintz, W. D., Fay, L. & Relyea, R. A. Road salts, human safety, and the rising salinity of our fresh waters. Front. Ecol. Environ. 9, 22–30. https://doi.org/10.1002/fee.2433 (2022).Article 

    Google Scholar 
    Petranka, J. W. & Doyle, E. J. Effects of road salts on the composition of seasonal pond communities: Can the use of road salts enhance mosquito recruitment?. Aquat. Ecol. 44, 155–166. https://doi.org/10.1007/s10452-009-9286-z (2010).Article 
    CAS 

    Google Scholar 
    Petranka, J. W. & Francis, R. A. Effects of road salts on seasonal wetlands: Poor prey performance may compromise growth of predatory salamanders. Wetlands 33, 707–715. https://doi.org/10.1007/s13157-013-0428-7 (2013).Article 

    Google Scholar 
    Searle, C. L., Shaw, C. L., Hunsberger, K. K., Prado, M. & Duffy, M. A. Salinization decreases population densities of the freshwater crustacean Daphnia dentifera. Hydrobiologia 770, 165–172. https://doi.org/10.1007/s10750-015-2579-4 (2016).Article 
    CAS 

    Google Scholar 
    Hebert, M. P. et al. Lake salinization drives consistent losses of zooplankton abundance and diversity across coordinated mesocosm experiments. Limnol. Oceanogr. Let. https://doi.org/10.1002/lol2.10239 (2022).Article 

    Google Scholar 
    Collins, S. J. & Russell, R. W. Toxicity of road salt to nova scotia amphibians. Environ. Pollut. 157, 320–324. https://doi.org/10.1016/j.envpol.2008.06.032 (2009).Article 
    CAS 
    PubMed 

    Google Scholar 
    Milotic, D., Milotic, M. & Koprivnikar, J. Effects of road salt on larval amphibian susceptibility to parasitism through behavior and immunocompetence. Aquat. Toxicol. 189, 42–49. https://doi.org/10.1016/j.aquatox.2017.05.015 (2017).Article 
    CAS 
    PubMed 

    Google Scholar 
    Sanzo, D. & Hecnar, S. J. Effects of road de-icing salt (NaCl) on larval wood frogs (Rana sylvatica). Environ. Pollut. 140, 247–256. https://doi.org/10.1016/j.envpol.2005.07.013 (2006).Article 
    CAS 
    PubMed 

    Google Scholar 
    Arnott, S. E. et al. Road salt impacts freshwater zooplankton at concentrations below current water quality guidelines. Envir. Sci. Tech. 54, 9398–9407. https://doi.org/10.1021/acs.est.0c02396 (2020).Article 
    CAS 

    Google Scholar 
    Elphick, J. R. F., Bergh, K. D. & Bailey, H. C. Chronic toxicity of chloride to freshwater species effects of hardness and implications for water quality guidelines. Environ. Toxicol. Chem. 30, 239–246. https://doi.org/10.1002/etc.365 (2011).Article 
    CAS 
    PubMed 

    Google Scholar 
    Mount, D. R. et al. The acute toxicity of major ion salts to Ceriodaphnia dubia: I. Influence of background water chemistry. Environ. Toxicol. Chem. 35, 3039–3057. https://doi.org/10.1002/etc.3487 (2016).Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Soucek, D. J. Comparison of hardness- and chloride-regulated acute effects of sodium sulfate on two freshwater crustaceans. Environ. Toxicol. Chem. 26, 773–779. https://doi.org/10.1897/06-229r.1 (2007).Article 
    CAS 
    PubMed 

    Google Scholar 
    Bhateria, R. & Jain, D. Water quality assessment of lake water: A review. Sustain. Wat. Res. Manag. 2, 161–173. https://doi.org/10.1007/s40899-015-0014-7 (2016).Article 

    Google Scholar 
    USGS. Hardness of Water. https://www.usgs.gov/special-topics/water-science-school/science/hardness-water#overview, Accessed: 1 August 2022 (2018).Brown, A. H. & Yan, N. D. Food quantity affects the sensitivity of Daphnia to Road Salt. Environ. Sci. Tech. 49, 4673–4680. https://doi.org/10.1021/es5061534 (2015).Article 
    CAS 

    Google Scholar 
    Smith, D. W. & Cooper, S. D. Competition among cladocera. Ecology 63, 1004–1015. https://doi.org/10.2307/1937240 (1982).Article 

    Google Scholar 
    Soucek, D. J. et al. Influence of water hardness and sulfate on the acute toxicity of chloride to sensitive freshwater invertebrates. Environ. Toxicol. Chem. 30, 930–938. https://doi.org/10.1002/etc.454 (2011).Article 
    CAS 
    PubMed 

    Google Scholar 
    Gust, K. A. et al. Daphnia magna’s sense of competition: Intra-specific interactions (ISI) alter life history strategies and increase metals toxicity. Ecotoxicology 25, 1126–1135. https://doi.org/10.1007/s10646-016-1667-1 (2016).Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Liu, X. & Steiner, C. F. Ecotoxicology of salinity tolerance in Daphnia pulex: Interactive effects of clonal variation, salinity stress and predation. J. Plankton Res. 39, 687–697. https://doi.org/10.1093/plankt/fbx027 (2017).Article 
    CAS 

    Google Scholar 
    Evans, M. & Frick, C. The effects of road salts on aquatic ecosystems. Report No. 02-308, (Environment Canada – Water Science and Technology Directorate, 2001).USEPA. (U.S. Environmental Protection Agency, 1988).Schuler, M. S. et al. Regulations are needed to protect freshwater ecosystems from salinization. Phil. Trans. R. Soc. B. https://doi.org/10.1098/rstb.2018.0019 (2019).Article 

    Google Scholar 
    Canadian Council of Ministers for the Environment. Candadian water Quality Guidelines for the Protection of Aquatic Life: Chloride. (Environment Canada, Gatineau, Canada, 2011).Valleau, R. E., Paterson, A. M. & Smol, J. P. Effects of road-salt application on Cladocera assemblages in shallow precambrian shield lakes in south-central Ontario, Canada. Freshwat. Sci. 39, 824–836. https://doi.org/10.1086/711666 (2020).Article 

    Google Scholar 
    Hintz, W. D. et al. Current water quality guidelines across North America and Europe do not protect lakes from salinization. Proc. Natl. Acad. of Sci. U.S.A. https://doi.org/10.1073/pnas.2115033119 (2022).Article 

    Google Scholar 
    Valleau, R. E., Celis-Salgado, M. P., Arnott, S. E., Paterson, A. M. & Smol, J. P. Assessing the effect of salinization (NaCl) on the survival and reproduction of two ubiquitous cladocera species (Bosmina longirostris and Chydorus brevilabris). Wat. Air Soil Pollut. 233, 135. https://doi.org/10.1007/s11270-021-05482-9 (2022).Article 
    ADS 
    CAS 

    Google Scholar 
    Celis-Salgado, M. P., Cairns, A., Kim, N. & Yan, N. D. The FLAMES medium: A new, soft-water culture and bioassay medium for Cladocera. SIL Proc. 1922–2010(30), 265–271. https://doi.org/10.1080/03680770.2008.11902123 (2008).Article 

    Google Scholar 
    USEPA. Methods for measuring the acute toxicity of effluents and receiving waters to freshwater and marine organisms, 5th ed. Office of Water Washington, DC (2002).Hintz, W. D. et al. Concurrent improvement and deterioration of epilimnetic water quality in an oligotrophic lake over 37 years. Limnol. Oceanogr. 65, 927–938. https://doi.org/10.1002/lno.11359 (2020).Article 
    ADS 
    CAS 

    Google Scholar 
    Winner, R. W. Interactive effects of water hardness and humic acid on the chronic toxicity of cadmium to Daphnia pulex. Aquat. Toxicol. 8, 281–293. https://doi.org/10.1016/0166-445X(86)90080-9 (1986).Article 
    CAS 

    Google Scholar 
    Kaushal, S. S. et al. Novel “chemical cocktails” in inland waters are a consequence of the freshwater salinization syndrome. Phil. Trans. R. Soc. B. https://doi.org/10.1098/rstb.2018.0017 (2019).Article 

    Google Scholar 
    Kaushal, S. S. et al. Making “chemical cocktails”: Evolution of urban geochemical processes across the periodic table of elements. Appl. Geochem. https://doi.org/10.1016/j.apgeochem.2020.104632 (2020).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Cremona, F. et al. How warming and other stressors affect zooplankton abundance, biomass and community composition in shallow eutrophic lakes. Clim. Change 159, 565–580. https://doi.org/10.1007/s10584-020-02698-2 (2020).Article 
    ADS 
    CAS 

    Google Scholar 
    Lind, L. et al. Salty fertile lakes: How salinization and eutrophication alter the structure of freshwater communities. Ecosphere. https://doi.org/10.1002/ecs2.2383 (2018).Article 

    Google Scholar 
    Stoler, A. B. et al. Effects of a common insecticide on wetland communities with varying quality of leaf litter inputs. Environ. Pollut. 226, 452–462. https://doi.org/10.1016/j.envpol.2017.04.019 (2017).Article 
    CAS 
    PubMed 

    Google Scholar 
    Riessen, H. P. & Sprules, W. G. Demographic costs of antipredator defenses in Daphnia pulex. Ecology 71, 1536–1546. https://doi.org/10.2307/1938290 (1990).Article 

    Google Scholar  More

  • in

    Salinity stress improves antioxidant potential by modulating physio-biochemical responses in Moringa oleifera Lam.

    Bibi, S. et al. Exogenous Ca/Mg quotient reduces the inhibitory effects of PEG induced osmotic stress on Avena sativa L. Braz. J. Biol. 84, 264642 (2022).Article 

    Google Scholar 
    Yasmeen, S. et al. Melatonin as a foliar application and adaptation in lentil (Lens culinaris Medik.) crops under drought stress. Sustainability 14, 16345 (2022).Article 
    CAS 

    Google Scholar 
    Ali, S. et al. The effects of osmosis and thermo-priming on salinity stress tolerance in Vigna radiata L. Sustain. 14, 12924 (2022).Article 
    CAS 

    Google Scholar 
    Umar, U. D. et al. Micronutrients foliar and drench application mitigate mango sudden decline disorder and impact fruit yield. Agronomy 12, 2449 (2022).Article 
    CAS 

    Google Scholar 
    Raymond, M. J. & Smirnoff, N. Proline metabolism and transport in maize seedlings at low water potential. Ann. Bot. 89, 813–823 (2002).Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Afridi, M. S. et al. New opportunities in plant microbiome engineering for increasing agricultural sustainability under stressful conditions. Front. Plant Sci. 13, 1–22 (2022).Article 

    Google Scholar 
    Salam, A. et al. Nano-priming against abiotic stress: A way forward towards sustainable agriculture. Sustainability 14, 14880 (2022).Article 
    CAS 

    Google Scholar 
    Yuan, F., Guo, J., Shabala, S. & Wang, B. Reproductive physiology of halophytes: Current standing. Front. Plant Sci. 9, 1954 (2019).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Flowers, T. J. & Colmer, T. D. Plant salt tolerance: Adaptations in halophytes. Ann. Bot. 115, 327–331 (2015).Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Roy, S. & Chakraborty, U. Cross-generic studies with rice indicate that ion homeostasis and antioxidant defense is associated with superior salinity tolerance in Cynodon dactylon (L.) Pers. Indian J. Plant Physiol. 20, 14–22 (2015).Article 

    Google Scholar 
    Ali, B. et al. Bacillus thuringiensis PM25 ameliorates oxidative damage of salinity stress in maize via regulating growth, leaf pigments, antioxidant defense system, and stress responsive gene expression. Front. Plant Sci. 13, 921668 (2022).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Ali, B. et al. Role of endophytic bacteria in salinity stress amelioration by physiological and molecular mechanisms of defense: A comprehensive review. S. Afr. J. Bot. 151, 33–46 (2022).Article 
    CAS 

    Google Scholar 
    Ali, B. et al. Bacillus mycoides PM35 reinforces photosynthetic efficiency, antioxidant defense, expression of stress-responsive genes, and ameliorates the effects of salinity stress in maize. Life 12, 219 (2022).Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Ali, B. et al. PGPR-mediated salt tolerance in maize by modulating plant physiology, antioxidant defense, compatible solutes accumulation and bio-surfactant producing genes. Plants 11, 345 (2022).Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Munns, R. & Tester, M. Mechanisms of salinity tolerance. Annu. Rev. Plant Biol. 59, 651–681 (2008).Article 
    CAS 
    PubMed 

    Google Scholar 
    Yildiz, M. & Terzi, H. Small heat shock protein responses in leaf tissues of wheat cultivars with different heat susceptibility. Biologia (Bratisl). 63, 521–525 (2008).Article 
    CAS 

    Google Scholar 
    Shao, T., Zhang, L., Shimojo, M. & Masuda, Y. Fermentation quality of Italian ryegrass (Lolium multiflorum Lam.) silages treated with encapsulated-glucose, glucose, sorbic acid and pre-fermented juices. Asian Australas. J. Anim. Sci. 20, 1699–1704 (2007).Article 
    CAS 

    Google Scholar 
    Ashraf, M. & Harris, P. J. C. Photosynthesis under stressful environments: An overview. Photosynthetica 51, 163–190 (2013).Article 
    CAS 

    Google Scholar 
    Ma, J. et al. Short-term responses of Spinach (Spinacia oleracea L.) to the individual and combinatorial effects of Nitrogen, Phosphorus and Potassium and silicon in the soil contaminated by boron. Front. Plant Sci. 13, 983156 (2022).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Ma, J. et al. Impact of foliar application of syringic acid on tomato (Solanum lycopersicum L.) under heavy metal stress-insights into nutrient uptake, redox homeostasis, oxidative stress, and antioxidant defense. Front. Plant Sci. 13, 950120 (2022).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Ma, J. et al. Individual and combinatorial effects of SNP and NaHS on morpho-physio-biochemical attributes and phytoextraction of chromium through Cr-stressed spinach (Spinacia oleracea L.). Front. Plant Sci. 13, 973740 (2022).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Butcher, K., Wick, A. F., DeSutter, T., Chatterjee, A. & Harmon, J. Soil salinity: A threat to global food security. Agron. J. 108, 2189–2200 (2016).Article 
    CAS 

    Google Scholar 
    Apel, K. & Hirt, H. Reactive oxygen species: Metabolism, oxidative stress, and signaling transduction. Annu. Rev. Plant Biol. 55, 373 (2004).Article 
    CAS 
    PubMed 

    Google Scholar 
    Triantaphylides, C. et al. Singlet oxygen is the major reactive oxygen species involved in photooxidative damage to plants. Plant Physiol. 148, 960–968 (2008).Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Amna et al. Bio-fabricated silver nanoparticles: A sustainable approach for augmentation of plant growth and pathogen control. In Sustainable Agriculture Reviews, Vol. 53 345–371 (Springer, 2021).Faryal, S. et al. Thiourea-capped nanoapatites amplify osmotic stress tolerance in Zea mays L. by conserving photosynthetic pigments, Osmolytes Biosynthesis and Antioxidant Biosystems. Molecules 27, 5744 (2022).Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Tuteja, N. Abscisic acid and abiotic stress signaling. Plant Signal. Behav. 2, 135–138 (2007).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Saleem, K. et al. Chrysotile-asbestos-induced damage in Panicum virgatum and Phleum pretense species and its alleviation by organic-soil amendment. Sustainability 14, 10824 (2022).Article 

    Google Scholar 
    Wahab, A. et al. Plants’ physio-biochemical and phyto-hormonal responses to alleviate the adverse effects of drought stress: A comprehensive review. Plants 11, 1620 (2022).Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    McCord, J. M. The evolution of free radicals and oxidative stress. Am. J. Med. 108, 652–659 (2000).Article 
    CAS 
    PubMed 

    Google Scholar 
    Farooq, T. H. et al. Morpho-physiological growth performance and phytoremediation capabilities of selected xerophyte grass species towards Cr and Pb stress. Front. Plant Sci. 13, 997120 (2022).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Dola, D. B. et al. Nano-iron oxide accelerates growth, yield, and quality of Glycine max seed in water deficits. Front. Plant Sci. 13, 992535 (2022).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Mittler, R. Oxidative stress, antioxidants and stress tolerance. Trends Plant Sci. 7, 405–410 (2002).Article 
    CAS 
    PubMed 

    Google Scholar 
    Jaleel, C. A., Gopi, R., Alagu Lakshmanan, G. M. & Panneerselvam, R. Triadimefon induced changes in the antioxidant metabolism and ajmalicine production in Catharanthus roseus (L.) G. Don. Plant Sci. 171, 271–276 (2006).Article 
    CAS 

    Google Scholar 
    Zainab, N. et al. Pgpr-mediated plant growth attributes and metal extraction ability of sesbania sesban l. In industrially contaminated soils. Agronomy 11, 11 (2021).Article 

    Google Scholar 
    Nawaz, H. et al. Comparative effectiveness of EDTA and citric acid assisted phytoremediation of Ni contaminated soil by using canola (Brassica napus). Braz. J. Biol. 82, 261785 (2022).Article 

    Google Scholar 
    Hasanuzzaman, M. et al. Reactive oxygen species and antioxidant defense in plants under abiotic stress: Revisiting the crucial role of a universal defense regulator. Antioxidants 9, 681 (2020).Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Dixon, D. P., Cummins, I., Cole, D. J. & Edwards, R. Glutathione-mediated detoxification systems in plants. Curr. Opin. Plant Biol. 1, 258–266 (1998).Article 
    CAS 
    PubMed 

    Google Scholar 
    Kangasjärvi, S. et al. Diverse roles for chloroplast stromal and thylakoid-bound ascorbate peroxidases in plant stress responses. Biochem. J. 412, 275–285 (2008).Article 
    PubMed 

    Google Scholar 
    Cai, Y., Luo, Q., Sun, M. & Corke, H. Antioxidant activity and phenolic compounds of 112 traditional Chinese medicinal plants associated with anticancer. Life Sci. 74, 2157–2184 (2004).Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Gengmao, Z., Quanmei, S., Yu, H., Shihui, L. & Changhai, W. The physiological and biochemical responses of a medicinal plant (Salvia miltiorrhiza L.) to stress caused by various concentrations of NaCl. PLoS ONE 9, e89624 (2014).Article 
    ADS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Schroeter, H. et al. MAPK signaling in neurodegeneration: Influences of flavonoids and of nitric oxide. Neurobiol. Aging 23, 861–880 (2002).Article 
    CAS 
    PubMed 

    Google Scholar 
    Horemans, N., Foyer, C. H. & Asard, H. Transport and action of ascorbate at the plant plasma membrane. Trends Plant Sci. 5, 263–267 (2000).Article 
    CAS 
    PubMed 

    Google Scholar 
    Miller, N. J., Diplock, A. T. & Rice-Evans, C. A. Evaluation of the total antioxidant activity as a marker of the deterioration of apple juice on storage. J. Agric. Food Chem. 43, 1794–1801 (1995).Article 
    CAS 

    Google Scholar 
    Elkhlifi, Z. et al. Potential role of biochar on capturing soil nutrients, carbon sequestration and managing environmental challenges: A review. Sustainability 15, 2527. https://doi.org/10.3390/su15032527 (2023).Article 

    Google Scholar 
    Mahmood, K. T., Mugal, T. & Haq, I. U. Moringa oleifera: A natural gift-a review. J. Pharm. Sci. Res. 2, 775 (2010).
    Google Scholar 
    Anwar, F., Hussein, A. I., Ashraf, M., Jamail, A. & Iqbal, S. Effect of salinity on yield and quality of Moringa oleifera seed oil. Grasas y Aceites 57, 394–401 (2006).Article 
    CAS 

    Google Scholar 
    Barrs, H. D. & Weatherley, P. E. A re-examination of the relative turgidity technique for estimating water deficits in leaves. Aust. J. Biol. Sci. 15, 413–428 (1962).Article 

    Google Scholar 
    Kirk, J. T. O. & Allen, R. L. Dependence of chloroplast pigment synthesis on protein synthesis: Effect of actidione. Biochem. Biophys. Res. Commun. 21, 523–530 (1965).Article 
    CAS 
    PubMed 

    Google Scholar 
    Callister, A. N., Arndt, S. K. & Adams, M. A. Comparison of four methods for measuring osmotic potential of tree leaves. Physiol. Plant. 127, 383–392 (2006).Article 
    CAS 

    Google Scholar 
    Bates, L. S., Waldren, R. P. & Teare, I. D. Rapid determination of free proline for water-stress studies. Plant Soil 39, 205–207 (1973).Article 
    CAS 

    Google Scholar 
    Yemm, E. W. & Willis, A. The estimation of carbohydrates in plant extracts by anthrone. Biochem. J. 57, 508 (1954).Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Velikova, V., Yordanov, I. & Edreva, A. Oxidative stress and some antioxidant systems in acid rain-treated bean plants: Protective role of exogenous polyamines. Plant Sci. 151, 59–66 (2000).Article 
    CAS 

    Google Scholar 
    Heath, R. L. & Packer, L. Photoperoxidation in isolated chloroplasts: I. Kinetics and stoichiometry of fatty acid peroxidation. Arch. Biochem. Biophys. 125, 189–198 (1968).Article 
    CAS 
    PubMed 

    Google Scholar 
    Dionisio-Sese, M. L. & Tobita, S. Antioxidant responses of rice seedlings to salinity stress. Plant Sci. 135, 1–9 (1998).Article 
    CAS 

    Google Scholar 
    Bradford, M. M. A rapid and sensitive method for the quantitation of microgram quantities of protein utilizing the principle of protein-dye binding. Anal. Biochem. 72, 248–254 (1976).Article 
    CAS 
    PubMed 

    Google Scholar 
    Fridovich, I. Superoxide dismutases. Annu. Rev. Biochem. 44, 147–159 (1975).Article 
    CAS 
    PubMed 

    Google Scholar 
    Aebi, H. Catalase in vitro. In Methods in enzymology 105, 121–126 (Elsevier, 1984).Nakano, Y. & Asada, K. Hydrogen peroxide is scavenged by ascorbate-specific. Anal. Antioxid. Enzym. Act. lipid peroxidation proline content Agropyron desertorum under drought Stress (1981).Polle, A., Otter, T. & Seifert, F. Apoplastic peroxidases and lignification in needles of Norway spruce (Picea abies L.). Plant Physiol. 106, 53–60 (1994).Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Guri, A. Variation in glutathione and ascorbic acid content among selected cultivars of Phaseolus vulgaris prior to and after exposure to ozone. Can. J. Plant Sci. 63, 733–737 (1983).Article 
    CAS 

    Google Scholar 
    Brand-Williams, W., Cuvelier, M.-E. & Berset, C. Use of a free radical method to evaluate antioxidant activity. LWT-Food Sci. Technol. 28, 25–30 (1995).Article 
    CAS 

    Google Scholar 
    Re, R. et al. Antioxidant activity applying an improved ABTS radical cation decolorization assay. Free Radic. Biol. Med. 26, 1231–1237 (1999).Article 
    CAS 
    PubMed 

    Google Scholar 
    Benzie, I. F. F. & Strain, J. J. The ferric reducing ability of plasma (FRAP) as a measure of “antioxidant power”: The FRAP assay. Anal. Biochem. 239, 70–76 (1996).Article 
    CAS 
    PubMed 

    Google Scholar 
    Prieto, P., Pineda, M. & Aguilar, M. Spectrophotometric quantitation of antioxidant capacity through the formation of a phosphomolybdenum complex: Specific application to the determination of vitamin E. Anal. Biochem. 269, 337–341 (1999).Article 
    CAS 
    PubMed 

    Google Scholar 
    Singleton, V. L. & Rossi, J. A. Colorimetry of total phenolics with phosphomolybdic-phosphotungstic acid reagents. Am. J. Enol. Vitic. 16, 144–158 (1965).CAS 

    Google Scholar 
    Chang, C.-C., Yang, M.-H., Wen, H.-M. & Chern, J.-C. Estimation of total flavonoid content in propolis by two complementary colometric methods. J. food drug Anal. 10, 3 (2002).
    Google Scholar 
    Saeed, S. et al. Validating the impact of water potential and temperature on seed germination of wheat (Triticum aestivum L.) via hydrothermal time model. Life 12, 983 (2022).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Fatima, N. et al. Germination, growth and ions uptake of moringa (Moringa oleifera L.) grown under saline condition. J. Plant Nutr. 41, 1555–1565 (2018).Article 
    CAS 

    Google Scholar 
    Bashir, S. et al. Structural and functional stability of photosystem-II in Moringa oleifera under salt stress. Aust. J. Crop Sci. 15, 676–682 (2021).Article 
    CAS 

    Google Scholar 
    Farooq, F. et al. Impact of varying levels of soil salinity on emergence, growth and biochemical attributes of four Moringa oleifera landraces. PLoS ONE 17, e0263978 (2022).Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Bekka, S., Tayeb-Hammani, K., Boucekkine, I., Aissiou, M.Y.E.-A. & Djazouli, Z. E. Adaptation strategies of Moringa oleifera under drought and salinity stresses. Ukr. J. Ecol. 12, 8–16 (2022).
    Google Scholar 
    Uematsu, K., Suzuki, N., Iwamae, T., Inui, M. & Yukawa, H. Increased fructose 1,6-bisphosphate aldolase in plastids enhances growth and photosynthesis of tobacco plants. J. Exp. Bot. 63, 3001–3009 (2012).Article 
    CAS 
    PubMed 

    Google Scholar 
    Khan, M. A. An ecological overview of halophytes from Pakistan. In Cash Crop Halophytes: Recent Studies. Tasks for Vegetation Science Vol. 38 (eds Lieth, H., Mochtchenko, M.) 167–187 (Springer, Dordrecht, 2003). https://doi.org/10.1007/978-94-017-0211-9_20.Chapter 

    Google Scholar 
    Chapin, F. S., Bloom, A. J., Field, C. B. & Waring, R. H. Plant responses to multiple environmental factors. Bioscience 37, 49–57 (1987).Article 

    Google Scholar 
    Ma, T. et al. Shoot and root biomass allocation of sunflower varying with soil salinity and nitrogen applications. Agron. J. 109, 2545–2555 (2017).Article 
    CAS 

    Google Scholar 
    Moud, A. & Maghsoudi, K. Salt stress effects on respiration and growth of germinated seeds of different wheat (Triticum aestivum L.) cultivars. World J. Agric. 4, 351–358 (2008).
    Google Scholar 
    Meloni, D. A., Oliva, M. A., Ruiz, H. A. & Martinez, C. A. Contribution of proline and inorganic solutes to osmotic adjustment in cotton under salt stress. J. Plant Nutr. 24, 599–612 (2001).Article 
    CAS 

    Google Scholar 
    Geissler, N., Hussin, S. & Koyro, H. W. Interactive effects of NaCl salinity and elevated atmospheric CO2 concentration on growth, photosynthesis, water relations and chemical composition of the potential cash crop halophyte Aster tripolium L. Environ. Exp. Bot. 65, 220–231 (2009).Article 
    CAS 

    Google Scholar 
    Sun, Y. L. et al. The increase in unsaturation of fatty acids of phosphatidylglycerol in thylakoid membrane enhanced salt tolerance in tomato. Photosynthetica 48, 400–408 (2010).Article 
    CAS 

    Google Scholar 
    Takamiya, K. I., Tsuchiya, T. & Ohta, H. Degradation pathway(s) of chlorophyll: What has gene cloning revealed? Trends Plant Sci. 5, 426–431 (2000).Article 
    CAS 
    PubMed 

    Google Scholar 
    Adnan, M. Y. et al. Desmostachya bipinnata manages photosynthesis and oxidative stress at moderate salinity. Flora Morphol. Distrib. Funct. Ecol. Plants 225, 1–9 (2016).Article 

    Google Scholar 
    Pinheiro, H. A. et al. Leaf gas exchange, chloroplastic pigments and dry matter accumulation in castor bean (Ricinus communis L) seedlings subjected to salt stress conditions. Ind. Crops Prod. 27, 385–392 (2008).Article 
    CAS 

    Google Scholar 
    Zhou, Y. et al. Production of betacyanins in transgenic Nicotiana tabacum increases tolerance to salinity. Front. Plant Sci. 12, 653147 (2021).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Ribeiro, V. P. et al. Endophytic Bacillus strains enhance pearl millet growth and nutrient uptake under low-P. Braz. J. Microbiol. 49, 40–46 (2018).Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Elhag, A. Z. & Abdalla, M. H. Investigation of sodium chloride tolerance of moringa (Moringa Oleifera Lam.) Transplants. Univers. J. Agric. Res. 2, 45–49 (2014).Article 

    Google Scholar 
    Nouman, W. et al. Drought affects size, nutritional quality, antioxidant activities and phenolic acids pattern of Moringa oleifera Lam. J. Appl. Bot. Food Qual. 91, 79–87 (2018).CAS 

    Google Scholar 
    Carballo-Méndez, F. D. J. et al. Silicon improves seedling production of Moringa oleifera Lam. Under saline stress. Pak. J. Bot. 54, 751–757 (2022).Article 

    Google Scholar 
    Gorai, M., Ennajeh, M., Khemira, H. & Neffati, M. Influence of NaCl-salinity on growth, photosynthesis, water relations and solute accumulation in Phragmites australis. Acta Physiol. Plant. 33, 963–971 (2011).Article 
    CAS 

    Google Scholar 
    Pagter, M., Bragato, C., Malagoli, M. & Brix, H. Osmotic and ionic effects of NaCl and Na2SO4 salinity on Phragmites australis. Aquat. Bot. 90, 43–51 (2009).Article 

    Google Scholar 
    Abideen, Z. et al. Antioxidant activity and polyphenolic content of phragmites karka under saline conditions. Pakistan J. Bot. 47, 813–818 (2015).CAS 

    Google Scholar 
    Teakle, N. L. et al. Differential tolerance to combined salinity and O2 deficiency in the halophytic grasses Puccinellia ciliata and Thinopyrum ponticum: The importance of K+ retention in roots. Environ. Exp. Bot. 87, 69–78 (2013).Article 
    CAS 

    Google Scholar 
    Panuccio, M. R., Jacobsen, S. E., Akhtar, S. S. & Muscolo, A. Effect of saline water on seed germination and early seedling growth of the halophyte quinoa. AoB Plants 6, plu047. https://doi.org/10.1093/aobpla/plu047 (2014).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Wege, S., Gilliham, M. & Henderson, S. W. Chloride: Not simply a ‘cheap osmoticum’, but a beneficial plant macronutrient. J. Exp. Bot. 68, 3057–3069 (2017).Article 
    CAS 
    PubMed 

    Google Scholar 
    Aziz, I., Gulzar, S., Noor, M. & Khan, M. A. Seasonal variation in water relations of Halopyrum mucronatum (L.) Stapf. growing near Sandspit, Karachi. Pak. J. Bot. 37, 141–148 (2005).
    Google Scholar 
    Teixeira Lins, C. M. et al. Pressure–volume (P–V) curves in Atriplex nummularia Lindl. for evaluation of osmotic adjustment and water status under saline conditions. Plant Physiol. Biochem. 124, 155–159 (2018).Article 
    PubMed 

    Google Scholar 
    Verslues, P. E., Agarwal, M., Katiyar-Agarwal, S., Zhu, J. & Zhu, J. K. Methods and concepts in quantifying resistance to drought, salt and freezing, abiotic stresses that affect plant water status. Plant J. 45, 523–539 (2006).Article 
    CAS 
    PubMed 

    Google Scholar 
    Shoukat, E., Aziz, I., Ahmed, M. Z., Abideen, Z. & Khan, M. A. Growth patterns of Phragmites karka under saline conditions depend on the bulk elastic modulus. Crop Pasture Sci. 69, 535–545 (2018).Article 
    CAS 

    Google Scholar 
    Rozema, J. & Schat, H. Salt tolerance of halophytes, research questions reviewed in the perspective of saline agriculture. Environ. Exp. Bot. 92, 83–95 (2013).Article 
    CAS 

    Google Scholar 
    Hameed, A. & Khan, M. A. Halophytes: Biology and economic potentials. Karachi Univ. J. Sci. 39, 40–44 (2011).
    Google Scholar 
    Katschnig, D., Broekman, R. & Rozema, J. Salt tolerance in the halophyte Salicornia dolichostachya Moss: Growth, morphology and physiology. Environ. Exp. Bot. 92, 32–42 (2013).Article 
    CAS 

    Google Scholar 
    Salehi, M., Majnun Hoseini, N., Naghdi Badi, H. & Mazaheri, D. Biochemical and growth responses of Moringa peregrina (Forssk.) fiori to different sources and levels of salinity. J. Med. Plants 11, 54–61 (2012).CAS 

    Google Scholar 
    Soliman, A. S., El-Feky, S. A. & Darwish, E. Alleviation of salt stress on Moringa peregrina using foliar application of nanofertilizers. J. Hortic. For. 7, 36–47 (2015).Article 
    CAS 

    Google Scholar 
    Azeem, M. et al. Salicylic acid seed priming modulates some biochemical parametrs to improve germination and seedling growth of salt stressed wheat (Triticum aestivum L.). Pakistan J. Bot. 51, 385–391 (2019).MathSciNet 
    CAS 

    Google Scholar 
    Sultana, R. et al. Coumarin-Mediated growth regulations, antioxidant enzyme activities, and photosynthetic efficiency of sorghum bicolor under saline conditions. Front. Plant Sci. 13, 799404 (2022).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Coêlho, M. R. V. et al. Salt tolerance of Calotropis procera begins with immediate regulation of aquaporin activity in the root system. Physiol. Mol. Biol. Plants 27, 457–468 (2021).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Bouassaba, K. & Chougui, S. Effet Du Stress Salin Sur Le Comportement Biochimique Et Anatomique Chez Deux Variétés De Piment (Capsicum Annuum L.) À Mila /Algérie. Eur. Sci. J. ESJ 14, 159 (2018).
    Google Scholar 
    El Moukhtari, A., Cabassa-Hourton, C., Farissi, M. & Savouré, A. How does proline treatment promote salt stress tolerance during crop plant development? Front. Plant Sci. 11, 1127 (2020).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Afridi, M. S. et al. Plant microbiome engineering: Hopes or hypes. Biology 11, 1782. https://doi.org/10.3390/biology11121782 (2022).Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Sami, F., Yusuf, M., Faizan, M., Faraz, A. & Hayat, S. Role of sugars under abiotic stress. Plant Physiol. Biochem. 109, 54–61 (2016).Article 
    CAS 
    PubMed 

    Google Scholar 
    Saleem, A. et al. Iron sulfate (FeSO4) improved physiological attributes and antioxidant capacity by reducing oxidative stress of Oryza sativa L. cultivars in alkaline soil. Sustainability 14, 16845. https://doi.org/10.3390/su142416845 (2022).Article 
    CAS 

    Google Scholar 
    Mehmood, S. et al. Bacillus sp. PM31 harboring various plant growth-promoting activities regulates Fusarium dry rot and wilt tolerance in potato. Arch. Agron. Soil Sci. https://doi.org/10.1080/03650340.2021.1971654 (2021).Article 

    Google Scholar 
    Benzarti, M., Rejeb, K. B., Debez, A., Messedi, D. & Abdelly, C. Photosynthetic activity and leaf antioxidative responses of Atriplex portulacoides subjected to extreme salinity. Acta Physiol. Plant. 34, 1679–1688 (2012).Article 
    CAS 

    Google Scholar 
    Duarte, B., Santos, D., Marques, J. C. & Caçador, I. Ecophysiological adaptations of two halophytes to salt stress: Photosynthesis, PS II photochemistry and anti-oxidant feedback—implications for resilience in climate change. Plant Physiol. Biochem. 67, 178–188 (2013).Article 
    CAS 
    PubMed 

    Google Scholar 
    Foyer, C. H. & Noctor, G. Redox regulation in photosynthetic organisms: Signaling, acclimation, and practical implications. Antioxid. Redox Signal. 11, 861–905 (2009).Article 
    CAS 
    PubMed 

    Google Scholar 
    Abogadallah, G. M. Insights into the significance of antioxidative defense under salt stress. Plant Signal. Behav. 5, 369–374 (2010).Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Subudhi, P. K. & Baisakh, N. Spartina alterniflora Loisel., a halophyte grass model to dissect salt stress tolerance. In Vitro Cell. Dev. Biol. Plant 47, 441–457 (2011).Article 
    CAS 

    Google Scholar 
    De Abreu, I. N. & Mazzafera, P. Effect of water and temperature stress on the content of active constituents of Hypericum brasiliense Choisy. Plant Physiol. Biochem. 43, 241–248 (2005).Article 

    Google Scholar 
    Askarzadeh, A. & Rezazadeh, A. Parameter identification for solar cell models using harmony search-based algorithms. Sol. Energy 86, 3241–3249 (2012).Article 
    ADS 

    Google Scholar 
    Parida, A. K. & Jha, B. Salt tolerance mechanisms in mangroves: A review. Trees Struct. Funct. 24, 199–217 (2010).Article 

    Google Scholar 
    Niknam, V. & Ebrahimzadeh, H. Phenolics content in Astragalus species. Pak. J. Bot. 34, 283–289 (2002).
    Google Scholar 
    Agati, G., Matteini, P., Goti, A. & Tattini, M. Chloroplast-located flavonoids can scavenge singlet oxygen. New Phytol. 174, 77–89 (2007).Article 
    CAS 
    PubMed 

    Google Scholar 
    Rai, S. N. & Proctor, J. Ecological studies on four rainforests in Karnataka, India: II. Litterfall. J. Ecol. 74, 439–454 (1986).Article 

    Google Scholar 
    Thakur, A. et al. Nutritional evaluation, phytochemical makeup, and antibacterial and antioxidant properties of wild plants utilized as food by the Gaddis, a tribe in the Western Himalayas. Front. Agron. 4, 1010309. https://doi.org/10.3389/fagro.2022.1010309 (2022).Article 

    Google Scholar 
    Boumenjel, A., Pantera, A., Papadopoulos, A. & Ammari, Y. Tolerance and adaptation mechanisms developed by Moringa oleifera (L.) seeds under oxidative stress induced by salt stress during in vitro germination. Glob. Nest J. 23, 1–10 (2021).
    Google Scholar 
    Wong, S. P., Leong, L. P. & William Koh, J. H. Antioxidant activities of aqueous extracts of selected plants. Food Chem. 99, 775–783 (2006).Article 
    CAS 

    Google Scholar 
    Djeridane, A. et al. Antioxidant activity of some Algerian medicinal plants extracts containing phenolic compounds. Food Chem. 97, 654–660 (2006).Article 
    CAS 

    Google Scholar 
    Meireles, D., Gomes, J., Lopes, L., Hinzmann, M. & Machado, J. A review of properties, nutritional and pharmaceutical applications of Moringa oleifera: Integrative approach on conventional and traditional Asian medicine. Adv. Tradit. Med. 20, 495–515 (2020).Article 

    Google Scholar 
    Ichoku, C. et al. A spatio-temporal approach for global validation and analysis of MODIS aerosol products. Geophys. Res. Lett. 29, 1616 (2002).Article 

    Google Scholar 
    Shahidi, F. & Ambigaipalan, P. Phenolics and polyphenolics in foods, beverages and spices: Antioxidant activity and health effects—a review. J. Funct. Foods 18, 820–897 (2015).Article 
    CAS 

    Google Scholar 
    Qasim, M. et al. Antioxidant properties, phenolic composition, bioactive compounds and nutritive value of medicinal halophytes commonly used as herbal teas. S. Afr. J. Bot. 110, 240–250 (2017).Article 
    CAS 

    Google Scholar 
    Benabderrahim, M. A., Yahia, Y., Bettaieb, I., Elfalleh, W. & Nagaz, K. Antioxidant activity and phenolic profile of a collection of medicinal plants from Tunisian arid and Saharan regions. Ind. Crops Prod. 138, 111427 (2019).Article 
    CAS 

    Google Scholar 
    Singh, B. N. et al. Oxidative DNA damage protective activity, antioxidant and anti-quorum sensing potentials of Moringa oleifera. Food Chem. Toxicol. 47, 1109–1116 (2009).Article 
    CAS 
    PubMed 

    Google Scholar 
    Jaiswal, D. et al. Role of Moringa oleifera in regulation of diabetes-induced oxidative stress. Asian Pac. J. Trop. Med. 6, 426–432 (2013).Article 
    CAS 
    PubMed 

    Google Scholar 
    Sreelatha, S., Jeyachitra, A. & Padma, P. R. Antiproliferation and induction of apoptosis by Moringa oleifera leaf extract on human cancer cells. Food Chem. Toxicol. 49, 1270–1275 (2011).Article 
    CAS 
    PubMed 

    Google Scholar 
    Sreelatha, S. & Padma, P. R. Antioxidant activity and total phenolic content of Moringa oleifera leaves in two stages of maturity. Plant Foods Hum. Nutr. 64, 303–311 (2009).Article 
    CAS 
    PubMed 

    Google Scholar 
    Rani, N. Z. A., Husain, K. & Kumolosasi, E. Moringa genus: A review of phytochemistry and pharmacology. Front. Pharmacol. 9, 108 (2018).Article 

    Google Scholar  More

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    Necrophagy by insects in Oculudentavis and other lizard body fossils preserved in Cretaceous amber

    Sawyer, S. J. & Bloch, C. P. Effects of carrion decomposition on litter arthropod assemblages. Ecol. Entomol. 45, 1499–1503. https://doi.org/10.1111/een.12910 (2020).Article 

    Google Scholar 
    Galante, E. & Marcos-Garcia, M. A. Decomposer insects. In Encyclopedia of Entomology (ed. Capinera, J. L.) 1158–1168 (Kluwer Academic Publisher, 2008).
    Google Scholar 
    Byrd, J. H. & Castner, J. L. Insects of forensic importance. In Forensic Entomology: The Utility of Arthropods in Legal Investigations (ed. Byrd, J. H.) 39–126 (CRC Press, 2009).Chapter 

    Google Scholar 
    Cruzado-Caballero, P. et al. Bioerosion and palaeoecological association of osteophagous insects in the Maastrichtian dinosaur Arenysaurus ardevoli. Lethaia 54, 957–968 (2021).
    Google Scholar 
    Paes Neto, V. D. et al. Oldest evidence of osteophagic behavior by insects from the Triassic of Brazil. Palaeogeogr. Palaeoclimatol. Palaeoecol. 453, 30–41 (2016).Article 

    Google Scholar 
    Grimaldi, D. A. Amber: Window to the Past (AMNH, 1996).
    Google Scholar 
    Holden, A. R., Harris, J. M. & Timm, R. M. Paleoecological and taphonomic implications of insect-damaged Pleistocene vertebrate remains from Rancho La Brea, Southern California. PLoS ONE 8(7), e67119. https://doi.org/10.1371/journal.pone.0067119 (2013).Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Zherikhin, V. V. Chapter 3.2. Ecological history of the terrestrial insects. In History of Insects (eds Rasnitsyn, A. P. & Quicke, D. L. J.) 331–388 (Kluwer Academic Publisher, 2002).
    Google Scholar 
    Boucot, A. J. Evolutionary Paleobiology of Behavior and Coevolution (Elsevier, 1990).
    Google Scholar 
    Boucot, A. J. & Poinar, G. O. Jr. Fossil Behavior Compendium (CRC Press, 2010).Book 

    Google Scholar 
    Martı́nez-Delclòs, X., Briggs, D. E. & Peñalver, E. Taphonomy of insects in carbonates and amber. Palaeogeogr. Palaeoclimatol. Palaeoecol. 203(1–2), 19–64 (2004).Article 

    Google Scholar 
    Solórzano Kraemer, M. M. et al. Arthropods in modern resins reveal if amber accurately recorded forest arthropod communities. Proc. Natl. Acad. Sci. USA 115(26), 6739–6744. https://doi.org/10.1073/pnas.1802138115 (2018).Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Álvarez-Parra, S., Delclòs, X., Solórzano-Kraemer, M. M., Alcalá, L. & Peñalver, E. Cretaceous amniote integuments recorded through a taphonomic process unique to resins. Sci. Rep. 10(1), 19840. https://doi.org/10.1038/s41598-020-76830-8 (2020).Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Jordan, F. Keystone species and food webs. Philos. Trans. R. Soc. Lond. B Biol. Sci. 364(1524), 1733–1741 (2009).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Baranov, V. et al. Synchrotron-radiation computed tomography uncovers ecosystem functions of fly larvae in an Eocene forest. Palaeontol. Electron. 24(1), a07. https://doi.org/10.26879/1129 (2021).Article 

    Google Scholar 
    Cornaby, B. W. Carrion reduction by animals in contrasting tropical habitats. Biotropica 6(1), 51–63 (1974).Article 

    Google Scholar 
    Barton, P. S., Cunningham, S. A., Lindenmayer, D. B. & Manning, A. D. The role of carrion in maintaining biodiversity and ecological processes in terrestrial ecosystems. Oecologia 171(4), 761–772 (2013).Article 
    ADS 
    PubMed 

    Google Scholar 
    Kneidel, K. A. Influence of carcass taxon and size on species composition of carrion-breeding Diptera. Am. Midl. Nat. 111(1), 57–63 (1984).Article 

    Google Scholar 
    Lewis, A. The ecology of carrion decomposition: Necrophagous invertebrate assembly and microbial community metabolic activity during decomposition of Sus scrofa carcasses in a temperate mid-west forest (Master Thesis, University of Dayton, 2011).Vasconcelos, S. D. & Araujo, M. Necrophagous species of Diptera and Coleoptera in northeastern Brazil: State of the art and challenges for the Forensic Entomologist. Rev. Bras. Entomol. 56(1), 7–14 (2012).Article 

    Google Scholar 
    Vasconcelos, S. D., Cruz, T. M., Salgado, R. L. & Thyssen, P. J. Dipterans associated with a decomposing animal carcass in a rainforest fragment in Brazil: Notes on the early arrival and colonization by necrophagous species. J. Insect Sci. 13(145), 1–11. https://doi.org/10.1673/031.013.14501 (2013).Article 

    Google Scholar 
    Solórzano Kraemer, M. M., Kraemer, A. S., Stebner, F., Bickel, D. J. & Rust, J. Entrapment bias of arthropods in Miocene amber revealed by trapping experiments in a tropical forest in Chiapas, Mexico. PLoS ONE 10(3), e0118820. https://doi.org/10.1371/journal.pone.0118820 (2015).Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Solórzano Kraemer, M. M. & Brown, B. V. Dohrniphora (Diptera: Phoridae) from the Miocene Mexican and Dominican ambers with a paleobiological reconstruction. Insect Syst. Evol. 49(3), 299–327 (2018).Article 

    Google Scholar 
    Perrichot, V. & Girard, V. A unique piece of amber and the complexity of ancient forest ecosystems. Palaios 24(3), 137–139 (2009).Article 
    ADS 

    Google Scholar 
    Wichard, W. Taphozönosen im Baltischen Bernstein. Denisia 26, 257–266 (2009).
    Google Scholar 
    Penney, D. & Langan, A. M. Comparing amber fossil assemblages across the Cenozoic. Biol. Lett. 2(2), 266–270 (2006).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Koteja, J. Report of the IInd Paleoentomological Meeting, Cracow, March 21–22, 1986 (in Polish). Incl.-Wrostek 4, 1–6 (1986).
    Google Scholar 
    Koteja, J. Stellate hairs—Index fossils of ambers. Incl.-Wrostek 5, 4–8 (1986).
    Google Scholar 
    Koteja, J. Syninclusions. Incl.-Wrostek 22, 10–12 (1996).
    Google Scholar 
    Lozano, R. P. et al. Phloem sap in Cretaceous ambers as abundant double emulsions preserving organic and inorganic residues. Sci. Rep. 10, 9751. https://doi.org/10.1038/s41598-020-66631-4 (2020).Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Heinrichs, J. et al. Lejeuneaceae (Marchantiophyta) from a species-rich taphocoenosis in Miocene Mexican amber, with a review of liverworts fossilised in amber. Rev. Palaeobot. Palynol. 221, 59–70 (2015).Article 

    Google Scholar 
    Peñalver, E. et al. Ticks parasitised feathered dinosaurs as revealed by Cretaceous amber assemblages. Nat. Commun. 8(1), 1924. https://doi.org/10.1038/s41467-017-01550-z (2017).Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Sánchez-García, A., Peñalver, E., Delclòs, X. & Engel, M. S. Mating and aggregative behaviors among basal hexapods in the Early Cretaceous. PLoS ONE 13(2), e0191669. https://doi.org/10.1371/journal.pone.0191669 (2018).Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Grimaldi, D. A., Peñalver, E., Barrón, E., Herhold, H. W. & Engel, M. S. Direct evidence for eudicot pollen-feeding in a Cretaceous stinging wasp (Angiospermae; Hymenoptera, Aculeata) preserved in Burmese amber. Commun. Biol. 2(1), 408. https://doi.org/10.1038/s42003-019-0652-7 (2019).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Pérez-de la Fuente, R., Engel, M. S., Azar, D. & Peñalver, E. The hatching mechanism of 130-million-year-old insects: An association of neonates, egg shells and egg bursters in Lebanese amber. Palaeontology 62(4), 547–559 (2019).Article 

    Google Scholar 
    Robin, N., D’haese, C. & Barden, P. Fossil amber reveals springtails’ longstanding dispersal by social insects. BMC Evol. Biol. 19(1), 213. https://doi.org/10.1186/s12862-019-1529-6 (2019).Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Coty, D. et al. The first ant-termite syninclusion in amber with CT-Scan analysis of taphonomy. PLoS ONE 9(8), e104410. https://doi.org/10.1371/journal.pone.0104410 (2014).Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Peñalver, E. & Grimaldi, D. Assemblages of mammalian hair and blood-feeding midges (Insecta: Diptera: Psychodidae: Phlebotominae) in Miocene amber. Trans. R. Soc. Edinb. Earth Sci. 96, 177–195 (2006).Article 

    Google Scholar 
    Bolet, A. et al. Unusual morphology in the mid-Cretaceous lizard Oculudentavis. Curr. Biol. 31, 3303–3314. https://doi.org/10.1016/j.cub.2021.05.040 (2021).Article 
    ADS 
    CAS 
    PubMed 

    Google Scholar 
    Kundrata, R., Packova, G., Prosvirov, A. S. & Hoffmannova, J. The fossil record of elateridae (Coleoptera: Elateroidea): Described species. Curr. Probl. Future Prospects Insects 12(4), 286. https://doi.org/10.3390/insects12040286 (2021).Article 

    Google Scholar 
    Wagner, P., Stanley, E. L., Daza, J. D. & Bauer, A. M. A new agamid lizard in mid-Cretaceous amber from northern Myanmar. Cretac. Res. 124, 104813. https://doi.org/10.1016/j.cretres.2021.104813 (2021).Article 

    Google Scholar 
    Barthel, H. J., Fougerouse, D., Geisler, T. & Rust, J. Fluoridation of a lizard bone embedded in Dominican amber suggests open-system behavior. PLoS ONE 15(2), e0228843 (2020).Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Arillo, A. Paleoethology: fossilized behaviours in amber. Geol. Acta 5(2), 159–166 (2007).
    Google Scholar 
    Xing, L. et al. A mid-Cretaceous enantiornithine (Aves) hatchling preserved in Burmese amber with unusual plumage. Gondwana Res. 49, 264–277 (2017).Article 
    ADS 

    Google Scholar 
    Daza, J. D., Stanley, E. L., Wagner, P., Bauer, A. M. & Grimaldi, D. A. Mid-Cretaceous amber fossils illuminate the past diversity of tropical lizards. Sci. Adv. 2(3), e1501080. https://doi.org/10.1126/sciadv.1501080 (2016).Article 
    ADS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Wang, M. & Xing, L. A brief review of lizard inclusions in amber. Biol. Syst. 1(01), 39–53 (2020).CAS 

    Google Scholar 
    Perrichot, V. Early Cretaceous amber from south-western France: insight into the Mesozoic litter fauna. Geol. Acta 2(1), 9–22 (2004).
    Google Scholar 
    De Baets, K., Huntley, J. W., Klompmaker, A. A., Schiffbauer, J. D. & Muscente, A. D. The fossil record of parasitism: its extent and taphonomic constraints. In The Evolution and Fossil Record of Parasitism (eds De Baets, K. & Huntley, J. W.) 1–50 (Springer, 2021).
    Google Scholar 
    Martín-Perea, D. M. et al. Recurring taphonomic processes in the carnivoran-dominated Late Miocene assemblages of Batallones-3, Madrid Basin. Spain. Lethaia 54, 871–890 (2021).
    Google Scholar 
    Delventhal, R. et al. The taste response to ammonia in Drosophila. Sci. Rep. 7(1), 43754. https://doi.org/10.1038/srep43754 (2017).Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    McCoy, V. E., Soriano, C. & Gabbott, S. E. A review of preservational variation of fossil inclusions in amber of different chemical groups. Earth Environ. Sci. Trans. R. Soc. Edinb. 107(2–3), 203–211 (2016).
    Google Scholar 
    McCoy, V. E. et al. Unlocking preservation bias in the amber insect fossil record through experimental decay. PLoS ONE 13(4), e0195482. https://doi.org/10.1371/journal.pone.0195482 (2018).Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Weihrauch, D., Donini, A. & O’Donnell, M. J. Ammonia transport by terrestrial and aquatic insects. J. Insect Physiol. 58(4), 473–487 (2012).Article 
    CAS 
    PubMed 

    Google Scholar 
    Clements, T., Colleary, C., De Baets, K. & Vinther, J. Buoyancy mechanisms limit preservation of coleoid cephalopod soft tissues in Mesozoic Lagerstätten. Palaeontology 60(1), 1–14 (2017).Article 

    Google Scholar 
    Grimaldi, D. & Engel, M. S. Evolution of the Insects (University Press, 2005).
    Google Scholar 
    Boehme, P., Amendt, J., Disney, R. H. L. & Zehner, R. Molecular identification of carrion-breeding scuttle flies (Diptera: Phoridae) using COI barcodes. Int. J. Legal Med. 124(6), 577–581 (2010).Article 
    PubMed 

    Google Scholar 
    Disney, R. H. L. Scuttle Flies—The Phoridae (Chapman & Hall, 1994).Book 

    Google Scholar 
    Hong, Y. C. Eocene Fossil Diptera Insecta in Amber of Fushun Coalfield (Geological Publishing House, 1981).
    Google Scholar 
    Brues, C. T. Fossil Phoridae in Baltic amber. Bull. Mus. Comp. Zool 85, 413–436 (1939).
    Google Scholar 
    Brown, B. V. Re-evaluation of the fossil Phoridae. J. Nat. Hist. 33, 1561–1573 (1999).Article 

    Google Scholar 
    Tomberlin, J. K., Benbow, M. E., Tarone, A. M. & Mohr, R. M. Basic research in evolution and ecology enhances forensics. Trends Ecol. Evol. 26(2), 53–55 (2011).Article 
    PubMed 

    Google Scholar 
    Downes, J. A. & Smith, S. M. New or little known feeding habits in Empididae (Diptera). Can. Entomol. 101(4), 404–408 (1969).Article 

    Google Scholar 
    Daugeron, C. Evolution of feeding and mating behaviors in the Empidoidea (Diptera: Eremoneura). In The Origin of Biodiversity in INSECTS: TEsts of Evolutionary Scenarios (ed. Grandcolas, P.) 163–182 (Mémoires du Muséum National d’Histoire Naturelle, Zoologie, 1997).
    Google Scholar 
    Sherratt, E. et al. Amber fossils demonstrate deep-time stability of Caribbean lizard communities. Proc. Natl. Acad. Sci. USA 112(32), 9961–9966 (2015).Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    de Queiroz, K., Chu, L. R. & Losos, J. B. A second Anolis lizard in Dominican amber and the systematics and ecological morphology of Dominican amber anoles. Am. Mus. Novit. 3249, 1–23 (1998).
    Google Scholar 
    Castañeda, M. D. R., Sherratt, E. & Losos, J. The Mexican amber anole, Anolis electrum, within a phylogenetic context: Implications for the origins of Caribbean anoles. Zool. J. Linn. Soc. 172(1), 133–144 (2014).Article 

    Google Scholar 
    Sun, Q., Haynes, K. F. & Zhou, X. Managing the risks and rewards of death in eusocial insects. Philos. Trans. R. Soc. Lond. B Biol. Sci. 373(1754), 20170258 (2018).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    López-Riquelme, G. O. & Fanjul-Moles, M. L. The funeral ways of social insects. Social strategies for corpse disposal. Trends Entomol. 9, 71–129 (2013).
    Google Scholar 
    Barden, P. & Grimaldi, D. A. Adaptive radiation in socially advanced stem-group ants from the Cretaceous. Curr. Biol. 26(4), 515–521 (2016).Article 
    CAS 
    PubMed 

    Google Scholar 
    Schultheiss, P. et al. The abundance, biomass, and distribution of ants on Earth. Proc. Natl. Acad. Sci. USA 119(40), e2201550119 (2022).Article 
    CAS 
    PubMed 

    Google Scholar 
    Grimaldi, D. A., Engel, M. S. & Nascimbene, P. C. Fossiliferous Cretaceous amber from Myanmar (Burma): Its rediscovery, biotic diversity, and paleontological significance. Am. Mus. Novit. 2002(3361), 1–71 (2002).Article 

    Google Scholar 
    Barden, P. & Grimaldi, D. A diverse ant fauna from the mid-Cretaceous of Myanmar (Hymenoptera: Formicidae). PLoS ONE 9(4), e93627. https://doi.org/10.1371/journal.pone.0093627 (2014).Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Shi, G. et al. Age constraint on Burmese amber based on U-Pb dating of zircons. Cretac. Res. 37, 155–163 (2012).Article 

    Google Scholar 
    Xing, L. & Qiu, L. Zircon UPb age constraints on the mid-Cretaceous Hkamti amber biota in northern Myanmar. Palaeogeogr. Palaeoclimatol. Palaeoecol. 558, 109960 (2020).Article 

    Google Scholar 
    Musa, M., Kaye, T. G., Bieri, W. & Peretti, A. Burmese amber compared using micro-attenuated total reflection infrared spectroscopy and ultraviolet imaging. Appl. Spectrosc. 75(7), 839–845. https://doi.org/10.1177/0003702820986880 (2021).Article 
    ADS 
    CAS 
    PubMed 

    Google Scholar 
    Peretti, A. & Bieri, W. PMF collection data depository of analysis by FTIR, PL, CT-and UV imaging of amber containing holotype Yaksha perettii and Oculudentavis naga and comparative amber samples, and associated invertebrate inclusions. J. Appl. Ethic. Min. Nat. Resour. Paleontol. 2, 1–37 (2021).
    Google Scholar 
    Peretti, A. An alternative perspective for acquisitions of amber from Myanmar including recommendations of the United Nations Human Rights Council. J. Int. Humanit. Action 6(1), 1–6 (2021).Article 

    Google Scholar  More

  • in

    Continuous advance in the onset of vegetation green-up in the Northern Hemisphere, during hiatuses in spring warming

    Peñuelas, J., Rutishauser, T. & Filella, I. Phenology feedbacks on climate change. Science 324, 887 (2009).Article 

    Google Scholar 
    Lian, X. et al. Summer soil drying exacerbated by earlier spring greening of northern vegetation. Sci. Adv. 6, eaax0255 (2020).Article 

    Google Scholar 
    Shen, M. et al. Plant phenology changes and drivers on the Qinghai–Tibetan Plateau. Nat. Rev. Earth Environ. 3, 633–651 (2022).Menzel, A. et al. Climate change fingerprints in recent European plant phenology. Glob. Change Biol. 26, 2599–2612 (2020).Piao, S. et al. Plant phenology and global climate change: current progresses and challenges. Glob. Change Biol. 25, 1922–1940 (2019).Article 

    Google Scholar 
    Wang, X. et al. No trends in spring and autumn phenology during the global warming hiatus. Nat. Commun. 10, 2389 (2019).Article 

    Google Scholar 
    Park, H., Jeong, S.-J., Ho, C.-H., Park, C.-E. & Kim, J. Slowdown of spring green-up advancements in boreal forests. Remote Sens. Environ. 217, 191–202 (2018).Article 

    Google Scholar 
    IPCC. Summary for Policymakers (Cambridge Univ. Press, 2013).Fyfe, J. C. et al. Making sense of the early-2000s warming slowdown. Nat. Clim. Change 6, 224–228 (2016).Article 

    Google Scholar 
    Pinzon, J. & Tucker, C. A non-stationary 1981–2012 AVHRR NDVI3g time series. Remote Sens. 6, 6929–6960 (2014).Article 

    Google Scholar 
    Ye, W., van Dijk, A. I. J. M., Huete, A. & Yebra, M. Global trends in vegetation seasonality in the GIMMS NDVI3g and their robustness. Int. J. Appl. Earth Obs. Geoinf. 94, 102238 (2021).
    Google Scholar 
    Zhang, J. et al. Comparison of land surface phenology in the Northern Hemisphere based on AVHRR GIMMS3g and MODIS datasets. ISPRS J. Photogramm. Remote Sens. 169, 1–16 (2020).Article 

    Google Scholar 
    Wang, X. et al. No consistent evidence for advancing or delaying trends in spring phenology on the Tibetan Plateau. J. Geophys. Res. Biogeosci. 122, 3288–3305 (2017).Article 

    Google Scholar 
    Shen, M. et al. Greater temperature sensitivity of vegetation greenup onset date in areas with weaker temperature seasonality across the Northern Hemisphere. Agric. For. Meteorol. 313, 108759 (2022).Article 

    Google Scholar 
    Zhang, C., Li, S., Luo, F. & Huang, Z. The global warming hiatus has faded away: an analysis of 2014–2016 global surface air temperatures. Int. J. Climatol. 39, 4853–4868 (2019).Article 

    Google Scholar 
    Gonsamo, A., Chen, J. M. & D’Odorico, P. Deriving land surface phenology indicators from CO2 eddy covariance measurements. Ecol. Indic. 29, 203–207 (2013).Article 

    Google Scholar 
    Huete, A. et al. Overview of the radiometric and biophysical performance of the MODIS vegetation indices. Remote Sens. Environ. 83, 195–213 (2002).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 
    Wang, S. et al. Temporal trends and spatial variability of vegetation phenology over the northern hemisphere during 1982–2012. PLoS ONE 11, e0157134 (2016).Article 

    Google Scholar 
    Chen, L. et al. Spring phenology at different altitudes is becoming more uniform under global warming in Europe. Glob. Change Biol. 24, 3969–3975 (2018).Article 

    Google Scholar 
    Ren, S., Yi, S. Peichl, M. & Wang, X. Diverse responses of vegetation phenology to climate change in different grasslands in inner Mongolia during 2000–2016. Remote Sens. 10, 17 (2017).Vitasse, Y., Signarbieux, C. & Fu, Y. H. Global warming leads to more uniform spring phenology across elevations. Proc. Natl Acad. Sci. USA 115, 1004–1008 (2018).Article 

    Google Scholar 
    Zhu, Z. et al. The accelerating land carbon sink of the 2000s may not be driven predominantly by the warming Hiatus. Geophys. Res. Lett. 45, 1402–1409 (2018).Article 

    Google Scholar 
    Ballantyne, A. et al. Accelerating net terrestrial carbon uptake during the warming hiatus due to reduced respiration. Nat. Clim. Change 7, 148–152 (2017).Article 

    Google Scholar 
    Zhou, X. et al. Legacy effect of spring phenology on vegetation growth in temperate China. Agric. For. Meteorol. 281, 107845 (2020).Liu, Q. et al. Extension of the growing season increases vegetation exposure to frost. Nat. Commun. 9, 426 (2018). More