More stories

  • in

    Distributions of photosynthetic traits, shoot growth, and anti-herbivory defence within a canopy of Quercus serrata in different soil nutrient conditions

    1.Niinemets, Ü. Within-canopy variations in functional leaf traits: Structural, chemical and ecological controls and diversity of responses. In Canopy Photosynthesis: From Basics to Applications (eds Hikosaka, K. et al.) 101–142 (Springer, Dordrecht, 2016).Chapter 

    Google Scholar 
    2.Field, C. Allocating leaf nitrogen for the maximization of carbon gain: Leaf age as a control on the allocation program. Oecologia 56, 341–347 (1983).ADS 
    CAS 
    PubMed 
    Article 

    Google Scholar 
    3.Hikosaka, K. et al. A meta-analysis of leaf nitrogen distribution within plant canopies. Ann. Bot. 118(2), 239–247 (2016).PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    4.Kitao, M. et al. Canopy nitrogen distribution is optimized to prevent photoinhibition throughout the canopy during sun flecks. Sci. Rep. 8, 503 (2018).ADS 
    PubMed 
    PubMed Central 
    Article 
    CAS 

    Google Scholar 
    5.Lambers, H., Chapin, F. S. III & Pons, T. L. Ecological biochemistry: Allelopathy and defense against herbivores. In Plant Physiological Ecology 2nd edn (eds Lambers, H. et al.) 445–477 (Springer, New York, 2008).Chapter 

    Google Scholar 
    6.Bachofen, C., D’Odorico, P. & Buchmenn, N. Light and VPD gradients drive foliar nitrogen partitioning and photosynthesis in the canopy of European beech and silver fir. Oecologia 192, 323–339 (2020).ADS 
    PubMed 
    Article 

    Google Scholar 
    7.Mole, S., Ross, J. A. M. & Waterman, P. G. Light-induced variation in phenolic levels in foliage of rain-forest plants, I. Chemical changes. J. Chem. Ecol. 14(1), 1–21 (1988).CAS 
    PubMed 
    Article 

    Google Scholar 
    8.Yamasaki, M. & Kikuzawa, K. Temporal and spatial variations in leaf herbivory within a canopy of Fagus crenata. Oecologia 137(2), 226–232 (2003).ADS 
    PubMed 
    Article 

    Google Scholar 
    9.Niinemets, Ü., Ellsworth, D. S., Lukjanova, A. & Tobias, M. Site fertility and the morphological and photosynthetic acclimation of Pinus sylvestris needles to light. Tree Physiol. 21, 1231–1244 (2001).CAS 
    PubMed 
    Article 

    Google Scholar 
    10.Niinemets, Ü., Cescatti, A., Lukjanova, A., Tobias, M. & Truus, L. Modification of light-acclimation of Pinus sylvestris shoot architecture by site fertility. Agric. For. Meteorol. 111, 121–140 (2002).ADS 
    Article 

    Google Scholar 
    11.Ishii, H., Kitaoka, S., Fujisawa, T., Maruyama, Y. & Koike, T. Plasticity of shoot and needle morphology and photosynthesis of two Picea species with different site preferences in northern Japan. Tree Physiol. 27, 1595–1605 (2007).CAS 
    PubMed 
    Article 

    Google Scholar 
    12.Bryant, J. P., Chapin, F. S. III. & Klein, D. R. Carbon/nutrient balance of boreal plants to vertebrate herbivory. Oikos 40, 357–368 (1983).CAS 
    Article 

    Google Scholar 
    13.Coley, P. D., Bryant, J. P. & Chapin, F. S. III. Resource availability and plant antiherbivore defense. Science 230(4728), 895–899 (1985).ADS 
    CAS 
    PubMed 
    Article 

    Google Scholar 
    14.Herms, D. A. & Mattson, W. J. The dilemma of plants: To grow or defend. Q. Rev. Biol. 63(3), 283–335 (1992).Article 

    Google Scholar 
    15.Sun, Y. et al. Negative effects of the simulated nitrogen deposition on plant phenolic metabolism: A meta-analysis. Sci. Total Environ. 719, 137442 (2020).ADS 
    CAS 
    PubMed 
    Article 

    Google Scholar 
    16.Kolstad, A. L., Asplund, J., Nilsson, M.-C., Ohlson, M. & Nybakken, L. Soil fertility and charcoal as determinants of growth and allocation of secondary plant metabolites in seedlings of European beech and Norway spruce. Environ. Exp. Bot. 131, 39–46 (2016).CAS 
    Article 

    Google Scholar 
    17.Caldwell, E., Read, J. & Sanson, G. D. Which leaf mechanical traits correlate with insect herbivory among feeding guilds. Ann. Bot. 117, 349–361 (2016).PubMed 

    Google Scholar 
    18.Warren, C. R. & Adams, M. A. Distribution of N, rubisco and photosynthesis in Pinus pinaster and acclimation to light. Plant Cell Environ. 24(6), 597–609 (2001).CAS 
    Article 

    Google Scholar 
    19.Koike, T., Kitao, M., Maruyama, Y., Mori, S. & Lei, T. T. Leaf morphology and photosynthetic adjustments among deciduous broad-leaved trees within the vertical canopy profile. Tree Physiol. 21, 951–958 (2001).CAS 
    PubMed 
    Article 

    Google Scholar 
    20.Iio, A., Fukasawa, H., Nose, Y., Kato, S. & Kakubari, Y. Vertical, horizontal and azimuthal variations in leaf photosynthetic characteristics within a Fagus crenata crown in relation to light acclimation. Tree Physiol. 25, 533–544 (2005).PubMed 
    Article 

    Google Scholar 
    21.Scartazza, A., Baccio, D. D., Bertolotto, P., Gavrichkova, O. & Matteucci, G. Investigating the European beech (Fagus sylvatica L.) leaf characteristics along the vertical canopy profile: Leaf structure, photosynthetic capacity, light energy dissipation and photoprotection mechanisms. Tree Physiol. 36, 1060–1076 (2016).CAS 
    PubMed 
    Article 

    Google Scholar 
    22.McClure, J. W. Physiology of flavonoids in plants. In Plant Flavonoids in Biology and Medicine (eds Cody, V. et al.) 77–85 (Alan R. Liss Inc, New York, 1985).
    Google Scholar 
    23.Løvdal, T., Plsen, K. M., Slimestad, R., Verheul, M. & Lillo, C. Synergetic effects of nitrogen depletion, temperature, and light on the content of phenolic compounds and gene expression in leaves of tomato. Phytochemistry 71, 605–613 (2010).PubMed 
    Article 
    CAS 

    Google Scholar 
    24.Christopoulos, M. V. & Tsantili, E. Participation of phenylalanine ammonia-lyase (PAL) in increased phenolic compounds in fresh cold stressed walnut (Juglans regia L.) kernels. Postharvest Biol. Technol. 104, 17–25 (2015).CAS 
    Article 

    Google Scholar 
    25.Tanaka, K. et al. Changes in photosynthesis and leaf characteristics with tree height in five dipterocarp species in a tropical rain forest. Tree Physiol. 26, 865–873 (2006).Article 

    Google Scholar 
    26.Poorter, H., Niinemets, Ü., Poorter, L., Wright, I. J. & Villar, R. Causes and consequences of variation in leaf mass per area (LMA): A meta-analysis. New Phytol. 182, 565–588 (2009).PubMed 
    Article 

    Google Scholar 
    27.Rowe, W. J. & Potter, D. A. Vertical stratification of feeding by Japanese beetle within linden tree canopies: Selective foraging or height per se?. Oecologia 108, 459–466 (1996).ADS 
    PubMed 
    Article 

    Google Scholar 
    28.Le Corff, J. & Marquis, R. J. Differences between understorey and canopy in herbivore community composition and leaf quality for two oak species in Missouri. Ecol. Entomol. 24, 46–58 (1999).Article 

    Google Scholar 
    29.Jamieson, M. A., Schwartzberg, E. G., Raffa, K. F., Reich, P. B. & Lindroth, R. L. Experimental climate warming alters aspen and birch phytochemistry and performance traits for an outbreak insect herbivore. Glob. Chang. Biol. 21, 2698–2710 (2015).ADS 
    PubMed 
    Article 

    Google Scholar 
    30.Tripler, C. E., Canham, C. D., Inouye, R. S. & Schnurr, J. L. Soil nitrogen availability, plant luxury consumption, and herbivory by white-tailed deer. Oecologia 133, 517–524 (2002).ADS 
    CAS 
    PubMed 
    Article 

    Google Scholar 
    31.Galloway, J. N. et al. Nitrogen cycles: Past, present and future. Biogeochemistry 70, 153–226 (2004).CAS 
    Article 

    Google Scholar 
    32.Kimura, S. D., Saito, M., Hara, H., Xu, Y. H. & Okazaki, M. Comparison of nitrogen dry deposition on cedar and oak leaves in the Tama hills using foliar rinsing method. Water Air Soil Pollut. 202, 369–377 (2009).ADS 
    CAS 
    Article 

    Google Scholar 
    33.Imamura, N., Tanaka, N., Ohte, N. & Yamamoto, H. Natural transfer with rainfall in the canopies of a broad-leaved deciduous forest in okuchichibu. J. Jpn. For. Soc. 94, 74–83 (2012) ((In Japanese)).CAS 
    Article 

    Google Scholar 
    34.Ogasawara, R., Yamamoto, T. & Arita, T. Biomass and production of the Konara (Quercus serrata) secondary stand. Hardwood Res. 4, 257–262 (1987) ((In Japanese)).
    Google Scholar 
    35.Kitao, M. et al. Increased phytotoxic O3 dose accelerates autumn senescence in an O3-sensitive beech forest even under the present-level O3. Sci. Rep. 6, 32549 (2016).ADS 
    CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    36.Kume, A., Nasahara, K. N., Nagai, S. & Muraoka, H. The ratio transmitted near-infrared radiation to photosynthetically active radiation (PAR) increases in proportion to the adsorbed PAR in the canopy. J. Plant Res. 124(1), 99–106 (2011).PubMed 
    Article 
    PubMed Central 

    Google Scholar 
    37.Ivančič, I. & Degobbis, D. An optimal manual procedure for ammonia analysis in natural waters by the indophenol blue method. Water Res. 18(9), 1143–1147 (1984).Article 

    Google Scholar 
    38.Bray, R. H. & Kurtz, L. T. Determination of total, organic, and available forms of phosphorus in soils. Soil Sci. 59(1), 39–46 (1945).ADS 
    CAS 
    Article 

    Google Scholar 
    39.Murphy, J. & Riley, J. P. A modified single solution method for the determination of phosphate in natural waters. Anal. Chem. Acta 27, 31–36 (1962).CAS 
    Article 

    Google Scholar 
    40.Watanabe, M., Ryu, K., Kita, K., Takagi, K. & Koike, T. Effects of nitrogen load on the growth and photosynthesis of hybrid larch F1 (Larix gmelinii var. japonica × L. kaempferi) grown on serpentine soil. Environ. Exp. Bot 83, 73–81 (2012).CAS 
    Article 

    Google Scholar 
    41.Watanabe, M. et al. Photosynthetic traits of Siebold’s beech and oak saplings grown under free air ozone exposure in northern Japan. Environ. Pollut. 174, 50–56 (2013).CAS 
    PubMed 
    Article 

    Google Scholar 
    42.Laemmli, U. K. Cleavage of structural proteins during the assembly of the head of bacteriophage T4. Nature 227, 680–685 (1970).ADS 
    CAS 
    Article 

    Google Scholar 
    43.Barnes, J. D., Balaguer, L., Manrique, E., Elvira, S. & Davison, A. W. A reappraisal of the use of DMSO for the extraction and determination of chlorophylls a and b in lichens and higher plants. Environ. Exp. Bot. 32(2), 85–100 (1992).CAS 
    Article 

    Google Scholar 
    44.Julkunen-Tiitto, R. Phenolic constituents in the leaves of northern willows: Methods for the analysis of certain phenolics. J. Agric. Food Chem. 33, 213–217 (1985).CAS 
    Article 

    Google Scholar 
    45.Bate-Smith, E. C. Astringent tannins of Acer species. Phytochemistry 16, 1421–1426 (1977).CAS 
    Article 

    Google Scholar 
    46.Clegg, M. S., Keen, C. L., Lönnerdal, B. & Hurley, L. S. Influence of ashing techniques on the analysis of trace elements in animal tissue I. Wet Ashing. Biol. Trace Elem. Res. 3, 107–115 (1981).CAS 
    PubMed 
    Article 

    Google Scholar 
    47.Takashima, T., Hikosaka, K. & Hirose, T. Photosynthesis or persistence: Nitrogen allocation in leaves of evergreen and deciduous Quercus species. Plant Cell Environ. 27, 1047–1054 (2004).CAS 
    Article 

    Google Scholar 
    48.Vogan, P. J. & Sage, R. F. Effects of low atmospheric CO2 and elevated temperature during growth on the gas exchange responses of C3, C3–C4 intermediate, and C4 species from three evolutionary lineages of C4 photosynthesis. Oecologia 169, 341–352 (2012).ADS 
    PubMed 
    Article 

    Google Scholar 
    49.Evans, J. R. & Seemann, J. R. The allocation of protein nitrogen in the photosynthetic apparatus: Costs, consequences and control. In Photosynthesis (ed. Briggs, W. R.) 183–205 (Alan R Liss Inc, New York, 1989).
    Google Scholar 
    50.Niinemets, Ü. A review of light interception in plant stands from leaf to canopy in different plant functional types and in species with varying shade tolerance. Ecol. Res. 25, 693–714 (2010).Article 

    Google Scholar 
    51.Niinemets, Ü., Keenan, T. F. & Hallik, L. A worldwide analysis of within-canopy variations in leaf structural, chemical and physiological traits across plant functional types. New Phytol. 205, 973–993 (2014).PubMed 
    PubMed Central 
    Article 
    CAS 

    Google Scholar 
    52.Migita, C., Chiba, Y. & Tange, T. Seasonal and spatial variations in leaf nitrogen content and resorption in a Quercus serrata canopy. Tree Physiol. 27, 63–70 (2007).CAS 
    PubMed 
    Article 

    Google Scholar 
    53.Kitao, M. et al. Effects of chronic elevated ozone exposure on gas exchange responses of adult beech trees (Fagus sylvatica) as related to the within-canopy light gradient. Environ. Pollut. 157, 537–544 (2009).CAS 
    PubMed 
    Article 

    Google Scholar 
    54.R Development Core Team. R: A language and environment for statistical computing. R Found. Stat. Comput. Vienna, Austria. (2018).55.Imaizumi, T. An introductory guide to statistical analysis-generalized linear models for proportion data using R. J. Weed Sci. Tech. 55(4), 275–286 (2010) ((In Japanese)).Article 

    Google Scholar 
    56.Underwood, A. J. Techniques of analysis of variance in experimental marine biology and ecology. Oceanogr. Mar. Biol. Ann. Rev. 19, 513–605 (1981).
    Google Scholar  More

  • in

    Silica nanoparticles as pesticide against insects of different feeding types and their non-target attraction of predators

    1.Bhattacharya, A., Bhaumik, A., Pathipati, U., Mandel, S. & Epidi, T. T. Nano-particles: A recent approach to insect pest control. Afr. J. Biotechnol. 9, 3489–3493 (2010).
    Google Scholar 
    2.Barik, T. K., Sahu, B. & Swain, V. Nanosilica- from medicine to pest control. Parasitol. Res. 103, 253–258 (2008).CAS 
    PubMed 
    Article 

    Google Scholar 
    3.Gajbhiye, M., Kesharwani, J., Ingle, A., Gade, A. & Rai, M. Fungus mediated synthesis of silver nanoparticles and its activity against pathogenic fungi in combination of fluconazole. Nanomedicine 5, 382–386 (2009).CAS 
    PubMed 
    Article 

    Google Scholar 
    4.Goswami, A., Roy, I., Sengupta, S. & Debnath, N. Novel applications of solid and liquid formulations of nanoparticles against insect pests and pathogens. Thin Solid Films 519, 1252–1257 (2010).ADS 
    CAS 
    Article 

    Google Scholar 
    5.Abbasi, A., Sufyan, M., Arif, M. J. & Sahi, S. T. Effect of silicon on tritrophic interaction of cotton, Gossypium hirsutum (Linnaeus), Bemisia tabaci (Gennadius) (Homoptera: Aleyrodidae) and the predator, Chrysoperla carnea (Stephens) (Neuroptera: Chrysopidae). Arthropod. Plant Interect. 14, 717–725 (2020).Article 

    Google Scholar 
    6.Croissant, J. G. et al. Synthetic amorphous silica nanoparticles: Toxicity, biomedical and environmental implications. Nat. Rev. Mater. 5, 886–909 (2020).ADS 
    Article 
    CAS 

    Google Scholar 
    7.Zhang, H. et al. Formation and enhanced biocidal activity of water-dispersable organic nanoparticles. Nat. Nanotechnol. 3, 506–511 (2008).ADS 
    CAS 
    PubMed 
    Article 

    Google Scholar 
    8.Ayoub, H. A., Khairy, M., Rashwan, F. A. & Abdel-Hafez, H. F. Synthesis and characterization of silica nanostructures for cotton leaf worm control. J. Nanostruct. Chem. 7, 91–100 (2017).CAS 
    Article 

    Google Scholar 
    9.Shoaib, A. et al. Entomotoxic effect of silicon dioxide nanoparticles on Plutella xylostella (L.) (Lepidoptera: Plutellidae) under laboratory conditions. Toxicol. Environ. Chem. 100, 80–91 (2018).CAS 
    Article 

    Google Scholar 
    10.Rastogi, A. et al. Application of silicon nanoparticles in agriculture. 3 Biotech 9, 90 (2019).PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    11.Galal, O. A. & El Samahy, M. F. M. Genetical effects of using silica nanoparticles as biopesticide on Drosophila melanogaster. Egypt. J. Genet. Cytol 41, 87–106 (2012).Article 

    Google Scholar 
    12.Smith, B. C. Effects of silica on the survival of Coleomegilla maculata lengi (Coleoptera: Coccinellidae) and Leptinotarsa decemlineata (Coleoptera: Chrysomelidae). Can. Entomol. 101, 460–462 (1969).Article 

    Google Scholar 
    13.Mousa, K. M., Elsharkawy, M. M., Khodeir, I. A., El-Dakhakhni, T. N. & Youssef, A. E. Growth perturbation, abnormalities and mortality of oriental armyworm Mythimna separata (Walker) (Lepidoptera: Noctuidae) caused by silica nanoparticles and Bacillus thuringiensis toxin. Egypt. J. Biol. Pest Control 24, 283–287 (2014).
    Google Scholar 
    14.El-Samahy, M. F. M., Khafagy, I. F. & El-Ghobary, A. M. A. Efficiency of silica nanoparticles, two bioinsecticides, peppermint extract and insecticide in controlling cotton leafworm, Spodoptera littoralis Boisd. and their effects on some associated natural enemies in sugar beet fields. J. Plant Prot. Pathol. Mansoura Univ. 6, 1221–1230 (2015).
    Google Scholar 
    15.El-Samahy, M. F. M. & Galal, O. A. Evaluation of silica nanoparticles as a new approach to control faba bean (Vicia faba L.) insects and its genotoxic effect on M2 plants. Egypt. J. Agric. Res. 90, 869–888 (2012).
    Google Scholar 
    16.Hodson, M. J., White, P. J., Mead, A. & Broadley, M. R. Phylogenetic variation in the silicon composition of plants. Ann. Bot. 96, 1027–1046 (2005).CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    17.Cooke, J. & Leishman, M. R. Consistent alleviation of abiotic stress with silicon addition: A meta-analysis. Funct. Ecol. 30, 1340–1357 (2016).Article 

    Google Scholar 
    18.Sangster, A. G. & Hodson, M. J. Silica in higher plants, in Evered, D. & O’Connor, M. (eds.) 90–111, Silicon Biochemistry, Ciba Found. Symp. 121 (Wiley, Chichester, U. K., 1986).19.Johnson, S. N., Hartley, S. E., Ryalls, J. M. W., Frew, A. & Hall, C. R. Targeted plant defense: Silicon conserves hormonal defense signaling impacting chewing but not fluid-feeding herbivores. Ecology https://doi.org/10.1002/ecy.3250 (2021).Article 
    PubMed 

    Google Scholar 
    20.Painter, R. H. Insect resistance in crop plants 520 (MacMillan, 1951).
    Google Scholar 
    21.Sasamoto, K. Studies on the relation between insect pests and silica content in rice plant (III). On the relation between some physical properties of silicified rice plant and injuries by rice stem borer, rice plant skipper and rice stem maggot. Oyo Kontyu 11, 66–69 (1955).
    Google Scholar 
    22.Takahashi, E. Uptake mode and physiological functions of silica. Science of the Rice Plant: Physiology, 420–433 (Food and Agriculture Policy Resource Center, Tokyo, 1995).23.Keeping, M. G. & Meyer, J. H. Calcium silicate enhances resistance of sugarcane to the African stalk borer Eldana saccharina Walker (Lepidoptera: Pyralidae). Agric. For. Entomol. 4, 265–274 (2002).Article 

    Google Scholar 
    24.Reynolds, O. L., Keeping, M. G. & Meyer, J. H. Silicon-augmented resistance of plants to herbivorous insects: A review. Ann. Appl. Biol. 155, 171–186 (2009).CAS 
    Article 

    Google Scholar 
    25.Massey, F. P. & Hartley, S. E. Physical defences wear you down: Progressive and irreversible impacts of silica on insect herbivores. J. Anim. Ecol. 78, 281–291 (2009).PubMed 
    Article 

    Google Scholar 
    26.Agarie, S. et al. Effects of silicon on tolerance to water deficit and heat stress in rice plants (Oryza sativa L.), monitored by electrolyte leakage. Plant Prod. Sci. 1, 96–103 (1998).Article 

    Google Scholar 
    27.Ye, M. et al. Priming of jasmonate mediated antiherbivore defence responses in rice by silicon. Proc. Natl. Acad. Sci. USA 110, E3631–E3639 (2013).CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    28.Mumm, R. & Dicke, M. Variation in natural plant products and the attraction of bodyguards involved in indirect plant defense. Can. J. Zool. 88, 628–667 (2010).CAS 
    Article 

    Google Scholar 
    29.Dudareva, N., Negre, F., Nagegowda, D. A. & Orlova, I. Plant volatiles: Recent advances and future perspectives. Crit. Rev. Plant Sci. 25, 417–440 (2006).CAS 
    Article 

    Google Scholar 
    30.Leroy, N., de Tombeur, F., Walgraffe, Y., Cornélis, J.-T. & Verheggen, F. J. Silicon and plant natural defenses against insect pests: Impact on plant volatile organic compounds and cascade effects on multitrophic interactions. Plants 8, 444 (2019).CAS 
    PubMed Central 
    Article 
    PubMed 

    Google Scholar 
    31.Gurr, G. M. & Kvedaras, O. L. Synergizing biological control: Scope for sterile insect technique, induced plant defences and cultural techniques to enhance natural enemy impact. Biol. Control 52, 198–207 (2010).Article 

    Google Scholar 
    32.Reynolds, O. L., Padula, M. P., Zeng, R. & Gurr, G. M. Silicon: Potential to promote direct and indirect effects on plant defense against arthropod pests in agriculture. Front. Plant Sci. 7, 744 (2016).PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    33.Hall, C. R., Waterman, J. M., Vandegeer, R. K., Hartley, S. E. & Johnson, S. N. The role of silicon in antiherbivore phytohormonal signalling. Front. Plant Sci. 10, 1132 (2019).PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    34.Liu, J. et al. Silicon supplementation alters the composition of herbivore-induced plant volatiles and enhances attraction of parasitoids to infested rice plants. Front. Plant Sci. 8, 1–8 (2017).
    Google Scholar 
    35.Johnson, S. N., Rowe, R. C. & Hall, C. R. Silicon is an inducible and effective herbivore defence against Helicoverpa punctigera (Lepidoptera: Noctuidae) in soybean. Bull. Entomol. Res. 110, 417–422 (2019).PubMed 
    Article 
    CAS 

    Google Scholar 
    36.Kvedaras, O. L., An, M., Choi, Y. S. & Gurr, G. M. Silicon enhances natural enemy attraction and biological control through induced plant defences. Bull. Entomol. Res. 100, 367–371 (2010).CAS 
    PubMed 
    Article 

    Google Scholar 
    37.Connick, V. J. The impact of silicon fertilisation on the chemical ecology of grapevine, Vitis vinifera constitutive and induced chemical defences against arthropod pests and their natural enemies. Ph.D. Thesis, Charles Sturt University, Albury-Wodonga, NSW, Australia (2011).38.Moraes, J. C. et al. Silicon influence on the tritrophic interaction: Wheat plants, the greenbug Schizaphis graminum (Rondani) (Hemiptera: Aphididae), and its natural enemies, Chrysoperla externa (Hagen) (Neuroptera: Chrysopidae) and Aphidius colemani Viereck (Hymenoptera: Aphidiidae). Neotrop. Entomol. 33, 619–624 (2004).Article 

    Google Scholar 
    39.Bao-shan, L., Chun-hui, L., Li-jun, F., Shu-chun, Q. & Min, Y. Effect of TMS (nanostructured silicon dioxide) on growth of Changbai larch seedlings. J. For. Res. (Harbin) 15, 138–140 (2004).Article 

    Google Scholar 
    40.Azimi, R., Borzelabad, M. J., Feizi, H. & Azimi, A. Interaction of SiO2 nanoparticles with seed prechilling on germination and early seedling growth of tall wheatgrass (Agropyron elongatum L.). Pol. J. Chem. Technol. 16, 25–29 (2014).CAS 
    Article 

    Google Scholar 
    41.Suriyaprabha, R., Karunakaran, G., Yuvakkumar, R., Rajendran, V. & Kannan, N. Foliar application of silica nanoparticles on the phytochemical responses of maize (Zea mays L.) and its toxicological behavior. Synth. React. Inorgan. Met. Org. Nano-Met. Chem. 44, 1128–1131 (2014).CAS 
    Article 

    Google Scholar 
    42.Alsaeedi, A. H., Elgarawany, M. M., El-Ramady, H., Alshaal, T. & AL-Otaibi A. O. A. Application of silica nanoparticles induces seed germination and growth of cucumber (Cucumis sativus). Met. Environ. Arid. Land Agric. Sci. 28, 57–68 (2019).43.Roohizadeh, G., Majd, A. & Arbabian, S. The effect of sodium silicate and silica nanoparticles on seed germination and some of growth indices in the Vicia faba L. Trop. Plant Res. 2, 85–89 (2015).
    Google Scholar 
    44.Thabet, A. F., Galal, O. A., El-Samahy, M. F. M. & Tuda, M. Higher toxicity of nano-scale TiO2 and dose-dependent genotoxicity of nano-scale SiO2 on the cytology and seedling development of broad bean Vicia faba. Appl. Sci. 1, 956 (2019).CAS 

    Google Scholar 
    45.Yang, Z. et al. Assessment of the phytotoxicity of metal oxide nanoparticles on two crop plants, maize (Zea mays L.) and rice (Oryza sativa L.). Int. J. Environ. Res. Public Health 12, 15100–15109 (2015).CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    46.Sharifi-Rad, J., Sharifi-Rad, M. & Teixeira da Silva, J. A. Morphological, physiological and biochemical responses of crops (Zea mays L., Phaseolus vulgaris L.), medicinal plants (Hyssopus officinalis L., Nigella sativa L.), and weeds (Amaranthus retroflexus L., Taraxacum officinale F. H. Wigg) exposed to SiO2 nanoparticles. J. Agric. Sci. Technol. 18, 1027–1040 (2016).
    Google Scholar 
    47.Silva, G. H. & Monteiro, R. T. Toxicity assessment of silica nanoparticles on Allium cepa. Ecotox. Environ. Contam. 12, 25–31 (2017).
    Google Scholar 
    48.Khan, Z. & Ansari, M. Y. K. Impact of engineered Si nanoparticles on seed germination, vigour index and genotoxicity assessment via DNA damage of root tip cells in Lens culinaris. J. Plant. Biochem. Physiol. 6, 5243–5246 (2018).Article 

    Google Scholar 
    49.Galal, O. A., Thabet, A. F., Tuda, M. & El-Samahy, M. F. M. RAPD analysis of genotoxic effects of nano-scale SiO2 and TiO2 on broad bean (Vicia faba L.). J. Fac. Agric. Kyushu Univ. 65, 57–63 (2020).CAS 
    Article 

    Google Scholar 
    50.Elsadany, M. F. I., Aboulila, A. A., Abo-Sein, T. M. & Magouz, R. I. E. Effect of silica nano-particles in control of mite Tetranychus cucurbitacearum (Sayed) and agronomic traits of soybean plants and qualitative assessment of its genotoxicity using total protein and RAPD analysis. J. Agric. Chem. Biotechnol. Mansoura Univ. 6, 529–544 (2015).
    Google Scholar 
    51.Salama, H. S., Dimetry, N. Z. & Salem, S. A. On the host preference and biology of the cotton leaf worm Spodoptera littoralis Bois. Zeitung Angew Entomol. 67, 261–266 (1971).Article 

    Google Scholar 
    52.Anonymous,. Data sheets on quarantine organisms. EPPO list A2 (European and Mediterranean Plant Protection Organization, 1981).
    Google Scholar 
    53.Hassan, A. S., Moussa, M. A. & Nasr, E. A. Behaviour of larvae and adults of the cotton leaf worm, Prodenia litura. Bull. Soc. Ent. Egypt 44, 337–343 (1960).
    Google Scholar 
    54.Talati, G. M. & Butani, P. G. Reproduction and population dynamics of groundnut aphid. Guj. Agric. Univ. Res. J. 5, 54–56 (1980).
    Google Scholar 
    55.Dixon, A. F. G. Structure of aphid populations. Annu. Rev. Entomol. 30, 155–174 (1985).Article 

    Google Scholar 
    56.Jackai, L. E. N. & Daoust, R. A. Insect pests of cowpeas. Annu. Rev. Entomol. 31, 95–119 (1986).Article 

    Google Scholar 
    57.Singh, S. R. Insects damaging cowpeas in Asia. In Cowpea research, production and utilization (eds Singhand, S. R. & Rachie, K. O.) 247–264 (Wiley, 1985).
    Google Scholar 
    58.Atiri, G. I. & Thottappilly, G. Aphis craccivora settling behaviour and acquisition of cowpea aphid borne mosaic virus in aphid-resistant cowpea lines. Entomol. Exp. Appl. 39, 241–245 (1985).Article 

    Google Scholar 
    59.Aamer, N. A. & Hegazi, E. M. Parasitoids of the leaf miners Liriomyza spp. (Diptera: Agromyzidae) attacking faba bean in Alexandria, Egypt. Egypt. J. Biol. Pest Control 24, 301–305 (2014).
    Google Scholar 
    60.Bassiony, R. A., Abou-Attia, F. A., Samy, M. A., Youssef, A. E. & Ueno, T. Infestation caused by the agromyzid leafminer Liriomyza trifolii of bean crops in Kafr EL-Shiekh, Egypt. J. Fac. Agric. Kyushu Univ. 62, 435–438 (2017).Article 

    Google Scholar 
    61.Borges, I., Soares, A. O., Magro, A. & Hemptinne, J. L. Prey availability in time and space is a driving force in life history evolution of predatory insects. Evol. Ecol. 25, 1307–1319 (2011).Article 

    Google Scholar 
    62.Hendawy, M. A., Saleh, A. A. A., Jabbar, A. S. & El-Hadary, A. S. N. Efficacy of some insecticides against the cowpea aphid, Aphis craccivora Koch infesting cowpea plants and their associated predators under laboratory and field conditions. Zagazig J. Agric. Res. 45, 2367–2375 (2018).Article 

    Google Scholar 
    63.Jabbar, A. S., Zawrah, M. F. M., Amer, S. A. M. & Saleh, A. A. A. Ecological and biological studies of certain predatory insects of aphid Aphis craccivora (koch.) on cowpea. Res J Parasitol 15, 20–30 (2020).Article 

    Google Scholar 
    64.Khodeir, I. A. et al. Population densities of pest aphids and their associated natural enemies on faba bean in Kafr EL–Sheikh, Egypt. J. Fac. Agric. Kyushu Univ. 65, 97–102 (2020).Article 

    Google Scholar 
    65.Lattin, J. D. Bionomics of the anthocoridae. Annu. Rev. Entomol. 44, 207–231 (1999).CAS 
    PubMed 
    Article 

    Google Scholar 
    66.Tuda, M. & Shima, K. Relative importance of weather and density dependence on the dispersal and on-plant activity of the predator Orius minutus. Popul. Ecol. 44, 251–257 (2002).Article 

    Google Scholar 
    67.Henderson, C. F. & Tilton, E. W. Tests with acaricides against the brow wheat mite. J. Econ. Entomol. 48, 157–161 (1955).CAS 
    Article 

    Google Scholar 
    68.Kergoat, G. J. et al. A novel reference dated phylogeny for the genus Spodoptera Guenée (Lepidoptera: Noctuidae: Noctuinae): new insights into the evolution of a pest-rich genus. Mol. Phylogenet. Evol. 161, 107161 (2021).PubMed 
    Article 

    Google Scholar 
    69.Emrani, S. N., Arzani, A. & Saeidi, G. Seed viability, germination and seedling growth of canola (Brassica napus L.) as influenced by chemical mutagens. Afr. J. Biotechnol. 10, 12602–12613 (2011).CAS 
    Article 

    Google Scholar 
    70.Edmond, J. B. & Drapala, W. J. The effects of temperature, sand and soil, and acetone on germination of okra seed. Proc. Am. Soc. Hort. Sci. 71, 428–434 (1958).
    Google Scholar 
    71.Ranal, M. A. & de Santana, D. G. How and why to measure the germination process?. Braz. J. Bot. 29, 1–11 (2006).Article 

    Google Scholar 
    72.Dahindwal, A. S., Lather, B. P. S. & Singh, J. Efficacy of seed treatment on germination, seedling emergence and vigor of cotton (Gossypium hirsutum) genotypes. Seed Res. 19, 59–61 (1991).
    Google Scholar 
    73.Derbalah, A. S., Morsey, S. Z. & El-Samahy, M. Some recent approaches to control Tuta absoluta in tomato under greenhouse conditions. Afr. Entomol. 20, 27–34 (2012).Article 

    Google Scholar 
    74.Borei, H. A., El-Samahy, M. F. M., Galal, O. A. & Thabet, A. F. The efficiency of silica nanoparticles in control cotton leafworm, Spodoptera littoralis Boisd. (Lepidoptera: Noctuidae) in soybean under laboratory conditions. Glob. J. Agric. Food Saf. Sci. 1, 161–168 (2014).
    Google Scholar 
    75.Debnath, N., Mitra, S., Das, S. & Goswami, A. Synthesis of surface functionalized silica nanoparticles and their use as entomotoxic nanocides. Powder Technol. 221, 252–256 (2012).CAS 
    Article 

    Google Scholar 
    76.El-Bendary, H. M. & El-Helaly, A. A. First record nanotechnology in agricultural: Silica nanoparticles a potential new insecticide for pest control. Appl. Sci. Rep. 4, 241–246 (2013).
    Google Scholar 
    77.Rowen, E. & Kaplan, I. Eco-evolutionary factors drive induced plant volatiles: A meta-analysis. New Phytol. 210, 284–294 (2016).CAS 
    PubMed 
    Article 

    Google Scholar 
    78.Fawe, A., Abou-Zaid, M., Menzies, J. & Bélanger, R. Silicon-mediated accumulation of flavonoid phytoalexins in cucumber. Phytopathology 88, 396–401 (1998).CAS 
    PubMed 
    Article 

    Google Scholar 
    79.Coscun, D. et al. The controversies of silicon’s role in plant biology. New Phytol. 221, 67–85 (2019).Article 

    Google Scholar 
    80.Murakami, S. et al. Insect-induced Daidzein, Formononetin and their conjugates in soybean leaves. Metabolites 4, 532–546 (2014).PubMed 
    PubMed Central 
    Article 
    CAS 

    Google Scholar 
    81.Kessler, A. & Baldwin, I. T. Defensive function of herbivore-induced plant volatile emissions in nature. Science 291, 2141–2144 (2001).ADS 
    CAS 
    PubMed 
    Article 

    Google Scholar 
    82.Horiuchi, J.-I. et al. A comparison of the responses of Tetranychus urticae (Acari: Tetranychidae) and Phytoseiulus persimilis (Acari: Phytoseiidae) to volatiles emitted from lima bean leaves with different levels of damage made by T. urticae or Spodoptera exigua (Lepidoptera: Noctuidae). Appl. Entomol. Zool. 38, 109–116 (2003).Article 

    Google Scholar 
    83.Yoneya, K., Kugimiya, S. & Takabayashi, J. Can herbivore-induced plant volatiles inform predatory insect about the most suitable stage of its prey?. Physiol. Entomol. 34, 379–386 (2009).CAS 
    Article 

    Google Scholar 
    84.Acevedo, F. E. et al. Quantitative proteomic analysis of the fall armyworm saliva. Insect Biochem. Mol. Biol. 86, 81–92 (2017).CAS 
    PubMed 
    Article 

    Google Scholar 
    85.Vet, L. E. & Dicke, M. Ecology of infochemical use by natural enemies in a tritrophic context. Annu. Rev. Entomol. 37, 141–172 (1992).Article 

    Google Scholar 
    86.Yan, Z. G. & Wang, C. Z. Similar attractiveness of maize volatiles induced by Helicoverpa armigera and Pseudaletia separata to the generalist parasitoid Campoletis chlorideae. Entomol. Exp. Appl. 118, 87–96 (2006).CAS 
    Article 

    Google Scholar 
    87.McCormick, A. C., Unsicker, S. B. & Gershenzon, J. The specificity of herbivore-induced plant volatiles in attracting herbivore enemies. Trends Plant Sci. 17, 303–310 (2012).Article 
    CAS 

    Google Scholar 
    88.Lee, C. W. et al. Developmental phytotoxicity of metal oxide nanoparticles to Arabidopsis thaliana. Environ. Toxicol. Chem. 29, 669–675 (2010).CAS 
    PubMed 
    Article 

    Google Scholar 
    89.Sabaghnia, N. & Janmohammadi, M. Effect of nanosilicon particles application on salinity tolerance in early growth of some lentil genotypes. Ann. UMCS Biol. 69, 39–55 (2014).
    Google Scholar 
    90.Slomberg, D. L. & Schoenfisch, M. H. Silica nanoparticle phytotoxicity to Arabidopsis thaliana. Environ. Sci. Technol. 46, 10247–10254 (2012).CAS 
    PubMed 

    Google Scholar 
    91.Le, V. N. et al. Uptake, transport, distribution and bio-effects of SiO2 nanoparticles in Bt-transgenic cotton. J. Nanobiotechnol. 12, 50 (2014).Article 
    CAS 

    Google Scholar  More

  • in

    Italy: Forest harvesting is the opposite of green growth

    CORRESPONDENCE
    13 July 2021

    Italy: Forest harvesting is the opposite of green growth

    Roberto Cazzolla Gatti

    0
    ,

    Gianluca Piovesan

    1
    &

    Alessandro Chiarucci

    2

    Roberto Cazzolla Gatti

    Tomsk State University, Russia.

    View author publications

    You can also search for this author in PubMed
     Google Scholar

    Gianluca Piovesan

    University of Tuscia, Viterbo, Italy.

    View author publications

    You can also search for this author in PubMed
     Google Scholar

    Alessandro Chiarucci

    University of Bologna, Italy.

    View author publications

    You can also search for this author in PubMed
     Google Scholar

    Share on Twitter
    Share on Twitter

    Share on Facebook
    Share on Facebook

    Share via E-Mail
    Share via E-Mail

    Download PDF

    We question plans to step up the harvesting of forest biomass, as set out in Italy’s Fourth Report on the State of Natural Capital. Rather than supporting a transition to a green economy, this could translate into more logging and perturbation of forest ecosystems.The loss of trees in Italy’s forests in recent years (go.nature.com/3yzvdp9) is only partly explained by disturbances such as Storm Vaia in 2018, and salvage logging thereafter. The dominant driver is the production of wood fuel (D. Pettenella et al. Forest@ 18, 1–4; 2021), mainly from coppice. This probably removes about 50% of estimated annual growth (see go.nature.com/3xr1mzc).The new biomass policy could threaten the functionality of forest ecosystems unless it includes measurable targets and a reliable monitoring system for tracking the impacts of removing wood. In a geographically complex country, rich in biodiversity, this could undermine progress towards the European Union’s 2030 biodiversity strategy.For Italy’s forests to contribute to the economy, provide ecosystem services, halt biodiversity loss and mitigate climate change, the country needs ecological planning, data monitoring, forest protection, restoration and rewilding.

    Nature 595, 353 (2021)
    doi: https://doi.org/10.1038/d41586-021-01923-x

    Competing Interests
    The authors declare no competing interests.

    Subjects

    Conservation biology

    Sustainability

    Climate change

    Latest on:

    Sustainability

    Does the fight against hunger need its own IPCC?
    Editorial 13 JUL 21

    Supply chain diversity buffers cities against food shocks
    Article 07 JUL 21

    Five ways to ensure flood-risk research helps the most vulnerable
    Comment 29 JUN 21

    Climate change

    Operationalizing the net-negative carbon economy
    Article 08 JUL 21

    Climate change made North America’s deadly heatwave 150 times more likely
    News 08 JUL 21

    Precise date for the Laacher See eruption synchronizes the Younger Dryas
    Article 30 JUN 21

    Jobs

    Postdoctoral Associate

    Baylor College of Medicine (BCM)
    Houston, TX, United States

    Postdoctoral Associate

    Baylor College of Medicine (BCM)
    Houston, TX, United States

    Postdoctoral Associate -Computational Biology

    Baylor College of Medicine (BCM)
    Houston, TX, United States

    Postdoctoral Associate

    Baylor College of Medicine (BCM)
    Houston, TX, United States

    Nature Briefing
    An essential round-up of science news, opinion and analysis, delivered to your inbox every weekday.

    Email address

    Yes! Sign me up to receive the daily Nature Briefing email. I agree my information will be processed in accordance with the Nature and Springer Nature Limited Privacy Policy.

    Sign up More

  • in

    Optimization of the flow conditions in the spawning ground of the Chinese sturgeon (Acipenser sinensis) through Gezhouba Dam generating units

    Flow velocity thresholdThere were 92 Chinese sturgeon signals from 2016 to 2019, which were identified with the DIDSON dual-frequency video sonar system. The distribution map of Chinese sturgeon signals was shown in Fig. 1. The number of monitored signals in 2016 was significantly higher than in 2017–2019. The latest wild reproduction of the Chinese sturgeon occurred in 2016. Overall, most Chinese sturgeon signals were distributed within 500 m downstream from Gezhouba Dam, and there were more in the right side(facing downstream) than in the left side. The flow field of each sturgeon signal was simulated by the model, and the velocity of each signal location was obtained. According to the statistical analysis of the flow velocity values, the frequency of the sturgeon signal at different flow velocity values was shown in Fig. 2. The results show that most signals were concentrated in areas with flow velocities of 0.6–1.5 m/s, which accounted for 88.1% of the signals; areas with flow velocities below 0.6 m/s accounted for 4.3% of the signals, and areas with flow velocities above 1.5 m/s accounted for 7.6%. Therefore, 0.6–1.5 m/s was selected as the preferred flow velocity range of the Chinese sturgeon for spawning activity. This result was approximately consistent with the ranges proposed by most other researchers. The low limit of the velocity range was lower than that of other researchers. There may be two reasons for this result: the first was that the bottom velocity we analysed was lower than the surface velocity and vertical average velocity under the same conditions; the second was that our research time was after 2016, and the discharge during the spawning period was relatively low, so the velocity of the Chinese sturgeon signal was also relatively low.Figure 1Distribution map of Chinese sturgeon signals, where ○ indicates Chinese sturgeon signals monitored in 2016, ∆ indicates those in 2017, □ indicates those in 2018, and ✩ indicates those in 2019. Map generated in ArcGIS Pro (https://www.esri.com/en-us/arcgis/products/arcgis-pro/overview).Full size imageFigure 2Plots of the frequency for the different flow velocity ranges of Chinese sturgeon signals.Full size imageDifferent opening modes with identical dischargeThe discharge of 6150 m3/s on November 24, 2016, when the latest wild reproduction of Chinese sturgeon occurred, was used to study the flow velocity distribution with different opening modes. The specific opening mode cases are shown in Table 1. Case 1 was the actual situation, and the Dajiang Plant featured 7 open units: #8, #11, #13, #14, #16, #19, and #21. According to the amounts of electricity generated by Dajiang Plant and Erjiang Plant on that day, the proportion of the Dajiang River flow was 58.8%, and the average discharge of each unit was 516.6 m3/s. Case 2 and case 3 featured 7 open units with the same discharge, but in case 2, units #15–21 were continuously open on the right-side (facing downstream), and in case 3, units #8–14 were continuously open near the left side. Case 4 and case 5 were the most concentrated conditions with the discharge of 6150 m3/s because the maximum through-discharge for each unit in the Dajiang Plant is 825 m3/s19. In these cases, at least 5 units were open with an average discharge of 723 m3/s per unit. Case 4 involved continuously opening units #8–12 on the left side, and case 5 involved continuously opening units #17–21 on the right side. Case 6 involved simultaneously opening 14 units on Dajiang River, and the average discharge of each unit was 258.3 m3/s.Table 1 Calculation cases with different opening modes of units under the identical discharge.Full size tableFigure 3 shows the flow fields of the spawning ground under different opening modes with identical discharge. By comparing the areas with a velocity threshold range of 0.6–1.5 m/s in different cases, the most favourable opening mode was determined. In case 1, the velocity at the outlet of the units was higher than the 1.5 m/s velocity threshold, but the discharge of each unit was only 516.6 m3/s, so the high-velocity range was limited, and most areas were suitable. In case 2 and case 3, there was a large difference in proportions of suitable area. Because the left side was deeper than the right side, the flow velocity on the right side was higher under the same discharge, and case 3 more easily exceeded the flow threshold, which resulted in a larger unsuitable area. Case 2 was more suitable than case 1, which also demonstrated that opening the left-side units was more favourable. In case 4 and case 5, the proportions of suitable area were small. Because the units were concentrated, the discharge of each unit was too high, and the outlet velocity was more than 2 m/s, so a large area of high velocity appeared downstream of the units with backflow under the shut-down units. The proportion of suitable area in case 5 was larger than those in case 4 and case 3, which further indicates that opening the left-side units was more favourable than opening the right-side units. Case 6 was greater than that of any other case. Because the discharge of each unit was only 258.3 m3/s, the velocity of the unit outlet was less than 1.5 m/s, and almost all areas were suitable except for the small areas on both sides. The suitable-velocity area was the largest when all units of the Dajiang Plant of Gezhouba Dam were open; therefore, for a given discharge, it was best to open all units.Figure 3Flow field of the spawning ground in different opening modes with identical discharge, where the numbers at the top of each picture are the numbers of units to open, and the arrows indicate the direction of the water flow. Maps generated in Tecplot360 EX 2020 R1 (https://www.tecplot.com/products/tecplot-360/).Full size imageDifferent discharges under identical opening modeThe velocity distribution of the spawning field is affected by the opening mode of the units and discharge of Gezhouba Dam. To study the effect of different discharges, 14 cases were simulated, as shown in Table 2. All units of the Dajiang Plant were considered open because the proportion of suitable area was expected to be maximal under such circumstances. From 1982 to the present, the discharge during the spawning day of Chinese sturgeon under Gezhouba Dam has a wide range: the highest discharge was 27,290 m3/s in 1990, and the lowest discharge was 5590 m3/s in 2012. However, the highest design discharge of the Gezhouba Dam units is 17,930 m3/s20. Once the design discharge is exceeded, the spillway on Erjiang River discharges water, and the velocity distribution of the study area is not affected. Therefore, case 1 represents the lowest discharge of 5590 m3/s, and case 2 represents a discharge of 6000 m3/s. For each subsequent case, the discharge was increased by 1000 m3/s to case 13 with the highest flow of 17,930 m 3/s. In case 14, all units reached the design discharge, and the discharge of each unit was 825 m3/s19.Table 2 Calculation cases with the same opening mode under different discharges.Full size tableFigure 4 shows the proportion of suitable-velocity area with all units open under different discharges. According to the calculation results, the proportion of suitable area slightly fluctuated at approximately 96.2% for discharges of 5590–11,000 m3/s. Because the discharge of each unit was low, the velocity of the unit outlet was low, and most areas were within the velocity threshold. Therefore, it is advantageous to open all units when the discharge is low. After the discharge reached 12,000 m3/s, the proportion of suitable area rapidly decreased. Because the discharge of each unit was high, on the right side of Dajiang River, the velocity of the unit outlet exceeded the velocity threshold and increased with increases in discharge, and the range of effect gradually increased. In the last case, the proportion of suitable area was only 6% when the units reached the designed discharge of 825 m3/s. Because the discharge of each unit was too high, almost all areas exceeded the velocity threshold except for small areas on both sides. Therefore, at discharges below 12,000 m3/s, opening all units is favourable, and at discharge above 12,000 m3/s, a higher discharge corresponds to more unfavourable conditions.Figure 4Proportions of the suitable-velocity area with all units opened under different discharges.Full size imageOptimal scheme under high-flow conditionsHigh-flow conditions at Gezhouba Dam are considered those that exceed 12,000 m3/s because of the substantive decline in suitable habitat area at higher discharges. Because opening the units on the left side of the Dajiang Plant provides a more uniform, suitable habitat, we evaluated 20 cases with a left-side opening mode under different discharge, as shown in Table 3. Because the highest discharge of each unit in the Dajiang Plant is 825 m3/s, at least 9 units must be open when the discharge is 12,000 m3/s. Case 1 was designed to open 9 units on the left, i.e., units #13–21, and the discharge of each unit was 784 m3/s. Cases 2–5 increased by 1 unit from left to right until 13 units were opened. For discharges of 13,000 m3/s, 14,000 m3/s, 15,000 m3/s, and 16,000 m3/s, at least 10, 10, 11, and 12 units were opened. When the discharge was 17,000 m3/s and 17,930 m3/s, at least 13 units were open.Table 3 Calculation cases with different opening modes under high-flow conditions.Full size tableFigure 5 shows the proportions of suitable area for different opening modes under high-flow conditions. The calculation results show that when the discharge was 12,000 m3/s, 13,000 m3/s, and 14,000 m3/s, the proportion of suitable area showed a parabolic trend with the increase in number of units. When the discharge was 12,000 m3/s, the proportion of suitable area with 11 open units on the left was the largest, which was 8.7% larger than the value for all open units and 15% larger than the value for the lowest number of open units. When the discharge was 13,000 m3/s, 12 open units on the left had the largest proportion of suitable-flow-velocity area. When the discharge was 14,000 m3/s, the proportions of suitable area produced by opening 12 and 13 units on the left were the largest. The proportion of suitable area of the lowest number of open units was usually minimal because the discharge of each unit was too high, which resulted in a large area of high velocity that was not suitable for Chinese sturgeon to spawn. Because of the underwater topography, opening the left-side units was more favourable than opening the right-side units, so for all open units, the proportions of suitable area will be lower, and the number of units opened in the middle will be the most advantageous. For a discharge of 15,000 m3/s, with the increase in number of units, the proportion of suitable area increased, and there was no parabolic trend because the discharge of each unit exceeded 678 m3/s; thus, on the left side, there was a large area of high velocity, and the effect extended very far, which was not suitable for Chinese sturgeon.Figure 5Proportions of the suitable area for different opening modes under high-flow conditions, where 12,000–09 on the x-axis indicates that the discharge is 12,000 m3/s, and 9 units are open on the left.Full size image More

  • in

    Climate change drives mountain butterflies towards the summits

    1.Maxwell, S. L., Fuller, R. A., Brooks, T. M. & Watson, J. E. M. Biodiversity: The ravages of guns, nets and bulldozers. Nature 536, 143–145 (2016).ADS 
    CAS 
    PubMed 
    Article 

    Google Scholar 
    2.Ripple, W. J., Wolf, C., Newsome, T. M., Barnard, P. & Moomaw, W. R. World scientists’ warning of a climate emergency. Bioscience https://doi.org/10.1093/biosci/biz088 (2019).Article 

    Google Scholar 
    3.Seneviratne, S. I., Lüthi, D., Litschi, M. & Schär, C. Land–atmosphere coupling and climate change in Europe. Nature 443, 205–209 (2006).ADS 
    CAS 
    PubMed 
    Article 

    Google Scholar 
    4.Liu, H. et al. Shifting plant species composition in response to climate change stabilizes grassland primary production. Proc. Natl. Acad. Sci. 115, 4051–4056 (2018).CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    5.Schweiger, O., Settele, J., Kudrna, O., Klotz, S. & Kühn, I. Climate change can cause spatial mismatch of trophically interacting species. Ecology 89, 3472–3479 (2008).PubMed 
    Article 

    Google Scholar 
    6.Parmesan, C. et al. Poleward shifts in geographical ranges of butterfly species associated with regional warming. Nature 399, 579–583 (1999).ADS 
    CAS 
    Article 

    Google Scholar 
    7.Dieker, P., Drees, C. & Assmann, T. Two high-mountain burnet moth species (Lepidoptera, Zygaenidae) react differently to the global change drivers climate and land-use. Biol. Conserv. 144, 2810–2818 (2011).Article 

    Google Scholar 
    8.Habel, J. C., Rödder, D., Schmitt, T. & Nève, G. Global warming will affect the genetic diversity and uniqueness of Lycaena helle populations. Glob. Change Biol. 17, 194–205 (2011).ADS 
    Article 

    Google Scholar 
    9.Grabherr, G., Gottfried, M. & Pauli, H. Climate change impacts in alpine environments. Geogr. Compass 4, 1133–1153 (2010).Article 

    Google Scholar 
    10.Alexander, J. M. et al. Lags in the response of mountain plant communities to climate change. Glob. Change Biol. 24, 563–579 (2018).11.Renner, S. S. & Zohner, C. M. Climate change and phenological mismatch in trophic interactions among plants, insects, and vertebrates. Annu. Rev. Ecol. Evol. Syst. 49, 165–182 (2018).Article 

    Google Scholar 
    12.Fleishman, E. & Murphy, D. D. A realistic assessment of the indicator potential of butterflies and other charismatic taxonomic groups. Conserv. Biol. 23, 1109–1116 (2009).PubMed 
    Article 

    Google Scholar 
    13.Sexton, J. P., Montiel, J., Shay, J. E., Stephens, M. R. & Slatyer, R. A. Evolution of ecological niche breadth. Annu. Rev. Ecol. Evol. Syst. 48, 183–206 (2017).Article 

    Google Scholar 
    14.Herrera, J. M., Ploquin, E. F., Rasmont, P. & Obeso, J. R. Climatic niche breadth determines the response of bumblebees (Bombus spp.) to climate warming in mountain areas of the Northern Iberian Peninsula. J. Insect Conserv. 22, 771–779 (2018).Article 

    Google Scholar 
    15.Habel, J. C. et al. Butterfly community shifts over two centuries. Conserv. Biol. 30, 754–762 (2016).PubMed 
    Article 

    Google Scholar 
    16.Descombes, P., Pradervand, J. N., Golay, J., Guisan, A. & Pellissier, L. Simulated shifts in trophic niche breadth modulate range loss of alpine butterflies under climate change. Ecography 39, 796–804 (2016).Article 

    Google Scholar 
    17.Kerr, J. T. Racing against change: Understanding dispersal and persistence to improve species’ conservation prospects. Proc. R. Soc. B 287, 20202061 (2020).CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    18.Dapporto, L., Cini, A., Voda, R., Dinca, V., Wiemers, M., Menchetti, M., Magini, G., Talavera, G., Shreeve, T., Bonelli, S., Casacci, L. P., Balletto, E., Scalercio, S. & Vila, R. Data from: Integrating three comprehensive datasets shows that mitochondrial DNA variation is linked to species traits and paleogeographic events in European butterflies. (Version 2, p. 4647103 bytes). Dryad (2019).19.Wiemers, M. et al. An updated checklist of the European butterflies (Lepidoptera, Papilionoidea). ZooKeys 811, 9–45 (2018).Article 

    Google Scholar 
    20.Wiemers, M., Chazot, N., Wheat, C., Schweiger, O. & Wahlberg, N. A complete time-calibrated multi-gene phylogeny of the European butterflies. ZooKeys 938, 97–124 (2020).PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    21.Middleton-Welling, J. et al. A new comprehensive trait database of European and Maghreb butterflies, Papilionoidea. Sci. Data 7, 351 (2020).PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    22.Weckström, K. et al. Impacts of climate warming on alpine lake biota over the past decade. Arct. Antarct. Alp. Res. 48, 361–376 (2016).Article 

    Google Scholar 
    23.Steinbauer, K., Lamprecht, A., Winkler, M., Bardy-Curchhalter, M., Kreiner, D., Suen, M. & Pauli, H. Shifting composition and functioning in alpine plant communities—Evidence of climate warming effects from 14 years biodiversity observation in the Northeastern Alps. In Conference Vol. 621–622 (2017).24.Bräu, M., Arbeitsgemeinschaft Bayerischer Entomologen & Bayerisches Landesamt für Umwelt (Eds.). Tagfalter in Bayern: 26 Tabellen. (Ulmer, 2013).25.Weidemann, H.-J. Tagfalter Vol. 1 (Neumann-Neudamm, 1986).
    Google Scholar 
    26.Weidemann, H.-J. Tagfalter: Biologie-Ökologie-Biotopschutz Vol. 2 (Neumann-Neudamm, 1988).
    Google Scholar 
    27.Konvicka, M., Maradova, M., Benes, J., Fric, Z. & Kepka, P. Uphill shifts in distribution of butterflies in the Czech Republic: Effects of changing climate detected on a regional scale. Glob. Ecol. Biogeogr. 12, 403–410 (2003).Article 

    Google Scholar 
    28.Wilson, R. J., Gutiérrez, D., Gutiérrez, J. & Monserrat, V. J. An elevational shift in butterfly species richness and composition accompanying recent climate change. Glob. Change Biol. 13, 1873–1887 (2007).ADS 
    Article 

    Google Scholar 
    29.Wilson, R. J. et al. Changes to the elevational limits and extent of species ranges associated with climate change: Elevational shifts accompany climate change. Ecol. Lett. 8, 1138–1146 (2005).PubMed 
    Article 
    PubMed Central 

    Google Scholar 
    30.Forister, M. L. et al. Compounded effects of climate change and habitat alteration shift patterns of butterfly diversity. Proc. Natl. Acad. Sci. 107, 2088–2092 (2010).ADS 
    CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    31.Warren, M. S. et al. Rapid responses of British butterflies to opposing forces of climate and habitat change. Nature 414, 65–69 (2001).ADS 
    CAS 
    PubMed 
    Article 

    Google Scholar 
    32.Hill, J. K. et al. Responses of butterflies to twentieth century climate warming: Implications for future ranges. Proc. R. Soc. Lond. Ser. B Biol. Sci. 269, 2163–2171 (2002).CAS 
    Article 

    Google Scholar 
    33.Essens, T., van Langevelde, F., Vos, R. A., Van Swaay, C. A. M. & WallisDeVries, M. F. Ecological determinants of butterfly vulnerability across the European continent. J. Insect Conserv. 21, 439–450 (2017).Article 

    Google Scholar 
    34.van Swaay, C., Warren, M. & Loïs, G. Biotope use and trends of European butterflies. J. Insect Conserv. 10, 189–209 (2006).Article 

    Google Scholar 
    35.Pyke, G. H., Thomson, J. D., Inouye, D. W. & Miller, T. J. Effects of climate change on phenologies and distributions of bumble bees and the plants they visit. Ecosphere 7, e01267 (2016).Article 

    Google Scholar 
    36.Biella, P. et al. Distribution patterns of the cold adapted bumblebee Bombus alpinus in the Alps and hints of an uphill shift (Insecta: Hymenoptera: Apidae). J. Insect Conserv. 21, 357–366 (2017).Article 

    Google Scholar 
    37.Parolo, G. & Rossi, G. Upward migration of vascular plants following a climate warming trend in the Alps. Basic Appl. Ecol. 9, 100–107 (2008).Article 

    Google Scholar 
    38.Filazzola, A., Matter, S. F. & Roland, J. Inclusion of trophic interactions increases the vulnerability of an alpine butterfly species to climate change. Glob. Change Biol. 26, 2867–2877 (2020).ADS 
    Article 

    Google Scholar 
    39.Schweiger, O. et al. Multiple stressors on biotic interactions: How climate change and alien species interact to affect pollination. Biol. Rev. 85, 777–795 (2010).PubMed 

    Google Scholar 
    40.Inouye, B. D., Ehrlén, J. & Underwood, N. Phenology as a process rather than an event: From individual reaction norms to community metrics. Ecol. Monogr. 89, e01352 (2019).Article 

    Google Scholar 
    41.Birkhofer, K. et al. Land-use type and intensity differentially filter traits in above- and below-ground arthropod communities. J. Anim. Ecol. 86, 511–520 (2017).PubMed 
    Article 

    Google Scholar 
    42.Dapporto, L. & Dennis, R. L. H. The generalist–specialist continuum: Testing predictions for distribution and trends in British butterflies. Biol. Conserv. 157, 229–236 (2013).Article 

    Google Scholar 
    43.Bartoňová, A., Benes, J. & Konvicka, M. Generalist–specialist continuum and life history traits of Central European butterflies (Lepidoptera)—Are we missing a part of the picture?. Eur. J. Entomol. 111, 543–553 (2014).Article 

    Google Scholar 
    44.Bartoňová, A. et al. Isolated Asian steppe element in the Balkans: Habitats of Proterebia afra (Lepidoptera: Nymphalidae: Satyrinae) and associated butterfly communities. J. Insect Conserv. 21, 559–571 (2017).Article 

    Google Scholar 
    45.Hodkinson, I. D. Terrestrial insects along elevation gradients: Species and community responses to altitude. Biol. Rev. 80, 489 (2005).PubMed 
    Article 

    Google Scholar 
    46.Roth, T., Plattner, M. & Amrhein, V. Plants, birds and butterflies: Short-term responses of species communities to climate warming vary by taxon and with altitude. PLoS ONE 9, e82490 (2014).ADS 
    PubMed 
    PubMed Central 
    Article 
    CAS 

    Google Scholar 
    47.Biesmeijer, J. C. et al. Parallel declines in pollinators and insect-pollinated plants in Britain and the Netherlands. Science 313, 351–354 (2006).ADS 
    CAS 
    PubMed 
    Article 

    Google Scholar 
    48.Filz, K. J., Engler, J. O., Stoffels, J., Weitzel, M. & Schmitt, T. Missing the target? A critical view on butterfly conservation efforts on calcareous grasslands in south-western Germany. Biodivers. Conserv. 22, 2223–2241 (2013).Article 

    Google Scholar 
    49.Hiebl, J. & Frei, C. Daily temperature grids for Austria since 1961—Concept, creation and applicability. Theor. Appl. Climatol. 124, 161–178 (2016).ADS 
    Article 

    Google Scholar 
    50.Hiebl, J. & Frei, C. Daily precipitation grids for Austria since 1961—Development and evaluation of a spatial dataset for hydroclimatic monitoring and modelling. Theor. Appl. Climatol. 132, 327–345 (2018).ADS 
    Article 

    Google Scholar 
    51.Bivand, R. & Yu, D. spgwr: Geographically Weighted Regression (R Package Version 0.6-34) [Computer Software]. https://CRAN.R-project.org/package=spgwr (2019).52.Hijmans, R. J. raster: Geographic Data Analysis and Modeling (R Package Version 3.3-13) [Computer Software]. https://CRAN.R-project.org/package=raster (2019).53.Hijmans, R. J., Phillips, S., Leathwick, J. & Elith, J. dismo: Species Distribution Modeling (R Package Version 1.1-4) [Computer Software]. https://CRAN.R-project.org/package=dismo (2017)54.Höttinger, H. & Pennerstorfer, J. Rote Liste der Tagschmetterlinge Österreichs (Lepidoptera: Papilionoidea & Hesperioidea). In Rote Listen gefährdeter Tiere Österreichs. Checklisten, Gefährdungsanalysen, Handlungsbedarf. Teil 1: Säugetiere, Vögel, Heuschrecken, Wasserkäfer, Netzflügler, Schnabelfliegen, Tagfalter. Grüne Reihe des Bundesministeriums für Land- und Forstwirtschaft, Umwelt und Wasserwirtschaft (Gesamtherausgeberin Ruth Wallner) Band 14/1 (ed. Zulka, K. P.) 313–354 (Böhlau, 2005).55.Blonder, B. & Harris, D. J. hypervolume: High Dimensional Geometry and Set Operations Using Kernel Density Estimation, Support Vector Machines, and Convex Hulls (R Package Version 2.0.12) [Computer Software]. https://CRAN.R-project.org/package=hypervolume (2019).56.Phillips, S. J., Anderson, R. P. & Schapire, R. E. Maximum entropy modeling of species geographic distributions. Ecol. Model. 190, 231–259 (2006).Article 

    Google Scholar 
    57.Phillips, S. J., Anderson, R. P., Dudík, M., Schapire, R. E. & Blair, M. E. Opening the black box: An open-source release of Maxent. Ecography 40, 887–893 (2017).Article 

    Google Scholar 
    58.Phillips, S. J., Dudík, M. & Schapire, R. E. Maxent Software for Modeling Species Niches and Distributions (Version 3.4.1) [Computer Software]. http://biodiversityinformatics.amnh.org/open_source/maxent/ (2017).59.Swets, J. Measuring the accuracy of diagnostic systems. Science 240, 1285–1293 (1988).ADS 
    MathSciNet 
    CAS 
    PubMed 
    MATH 
    Article 

    Google Scholar 
    60.Weiss, M. & Banko, G. Ecosystem Type Map v3.1—Terrestrial and Marine Ecosystems. ETC/BD report to the EEA (2018). More

  • in

    The impact of large-scale afforestation on ecological environment in the Gobi region

    The gobi region ecosystem has low stability because of its single species composition and simple structure (Fig. 8a). Large-scale shrub planting destroyed the original stable state (Fig. 8b) and resulted in another stable state via self-adjustment. In this process, the planted shrubs deteriorated the original ecosystem by competing for water and a chain reaction may ensue, leading to greater ecological problems. The original intention of the large-scale planting of shrubs was to maintain regional ecological balance, protect biodiversity, and fix sand, thus improving the environment (Fig. 8c). However, given the poor choice of the planting location, the expected results were not achieved. In fact, the opposite results of the original good intentions were achieved (Fig. 8d).Figure 8Diagram of different development stages of large-scale afforestation in the gobi region (a: original ground surface; b: holes dug for afforestation; c the living trees planted; d: ground surface when the trees are dead).Full size imageChina has a large expanse of arid areas, and has suffered from droughts for a long time. Land afforestation has been at the forefront of China’s policy principles, and there are government departments specializing in this field. In recent years, the Chinese Government has recommended a series of major strategies, for example, the “construction of ecological civilization” and “lucid waters and lush mountains are invaluable assets”, and also promoted greening projects, including “Three North Shelterbelt Project”, “Beijing-Tianjin Sandstorm Source Control Project”, and the “Natural Forest Protection Project”. More recently, desert greening has been conducted by people and enterprises, for example, the Ant Forest and Society of Entrepreneurs & Ecology (SEE). As a result of these projects and initiatives, China’s greening has contributed to global greening totals15,16. For afforestation, China’s policy departments have recommended the principles of “sticking to local conditions, suitable land for green, suitable trees for trees, suitable shrub for shrub, suitable grass for grass” and promoting the overall protection of “Mountain-River-Forest-Farmland-Lake-Grass-Desert system”, with particular references to desert. Their goal is to scientifically promote afforestation of the land and to clarify “where to afforest, what to afforest, how to afforest, how to manage”. However, problems arise very easily when grassroots executors are involved.The total area of the gobi region in China is approximately 56.95 × 104 km2, accounting for 13.36% of the national area, and is primarily distributed in the northwest extreme arid regions17. As mentioned above, gobi refers to a special arid landform that has a notably low water supply and is unsuitable for growing trees and shrubs. As an important natural landform, the gobi plays a key role in ecological protection; hence, its reference as “black vegetation”. However, there is a lack of understanding of the gobi, and it is often regarded as an area that needs to be greened or reformed. However, gobi, as an extremely arid region, is a fragile ecosystem. Once the gravel on the gobi surface is destroyed, it could lead to a series of ecological and environmental problems. Therefore, afforestation in arid areas is both a scientific and technical issue which must be conducted according to different regional characteristics, rather than by blindly planting trees in unsuitable areas. This study aims to attract more attention from the government forestry department and implementation personnel involved in afforestation activities so as to revise relevant policies. In response to the findings of this study, we have several recommendations: (1) it is necessary to popularize the understanding of scientific greening within the general public; (2) scientific understanding of the gobi needs to be increased, and awareness must be raised to promote its protection; (3) afforestation projects and management must be scientifically and systematically improved to ensure long-term effectiveness, and; (4) restoration and protection measures should be taken immediately in the gobi regions that have been afforested or destroyed.One of the most important causes of all these problems is the implementation of national policies on subsidies for greening and planting trees in desert areas. According to our survey, personnel who specifically plant trees and engage in afforestation are businessmen, farmers, or others, with most of them being businessmen from abroad, and only a few being local people. All the personnel are more concerned about the subsidies than greening and planting trees itself. According to the policy, they will receive majority of the subsidy if the planted trees live for three years, irrespective of whether the trees survive after that. Therefore, to guarantee the survival of the planted trees for three years, they even use water tankers to carry water to the trees from a great distance. However, after three years, the people stop watering the trees planted in the Gobi region, thereby leading to the death of trees after a few years as they cannot survive only on natural precipitation and groundwater. In pursuit of maximum profits, these businessmen will pursue larger areas for planting trees, which will cause further damage to the ecological environment in the Gobi region. Based on the current situation, we propose the following suggestions: (1) Trees that are planted must be monitored over a long time period, which will greatly reduce the short-term profit motive of the people engaged in planting trees. (2) We must plan greening and planting trees according to local conditions, respecting the laws of nature. Not all areas should be greened; moreover, we should not plant trees, especially in the gobi region, where planting trees can possibly destroy the gobi ecological environment, which is a very fragile desert ecosystem. (4) Personnel responsible for the destruction of the gobi ecological environment by unscientific greening and planting of trees must be obligated to restore the surface conditions of the gobi to prevent the aggravation of wind erosion and desertification, which will increase their awareness of environmental protection and receive punishment for environmental damage. More

  • in

    Destructive fires serve as pest control for lizards

    A Psammodromus algirus lizard in Spain, where wildfires can confer long-lasting relief from parasites. Credit: Philippe Clement/Nature Picture Library

    Ecology
    13 July 2021
    Destructive fires serve as pest control for lizards

    Mediterranean lizards in burnt areas are less likely to be afflicted by mites than their neighbours in unburnt woodlands.

    Share on Twitter
    Share on Twitter

    Share on Facebook
    Share on Facebook

    Share via E-Mail
    Share via E-Mail

    Occasional wildfires can help lizards to keep a clean house: the blazes cleanse natural areas of mites that can infest the reptiles’ skin.High-intensity fires in Mediterranean shrublands and woodlands renew vegetation, shoo away seed eaters and keep tree diseases in check. Lola Álvarez-Ruiz at the Desertification Research Centre in Valencia, Spain, and her colleagues were curious to know whether the flames could also be beneficial to animals.Between 2016 and 2018, the researchers sampled Psammodromus algirus, a species of ground-dwelling lizard, in eight burnt and adjacent unburnt areas in Spain. They then counted either how many mites were attached to the creatures’ skin or how many raised scales the lizards had — an indication of previous infection with the parasite.Lizards that lived in unburnt areas were four times more likely to carry mites than were those in recently scorched environments, and were also more likely to have raised scales. The results suggest that there was a lower incidence of parasitism even several years after a fire had occurred.

    Proc. R. Soc. B (2021)

    Ecology More

  • in

    Mechanisms and heterogeneity of in situ mineral processing by the marine nitrogen fixer Trichodesmium revealed by single-colony metaproteomics

    Oceanographic context of the sampling locationAll Trichodesmium colonies used in this study were collected from the same phytoplankton net which sampled a surface-ocean Southern Caribbean Sea community (Fig. 1a). At the sampling station the phosphate concentration was low (0.13 μM at 100 m) as is typical in an oligotrophic environment, while the surface dissolved iron concentration was relatively high (2.02 nM at 100 m), consistent with coastal or atmospheric inputs being mobilized in this region (Fig. 1a). By far the most abundant Trichodesmium species at this location was an uncharacterized Trichodesmium thiebautii species, as determined by Trichodesmium-specific metagenome-assembled-genome recruiting (see Table S1).Thirty individual colonies of mixed morphology were separated by hand-picking, immediately examined, and photographed by fluorescent microscopy (385 excitation, >420 nm emission), then frozen individually for particle characterization and metaproteomic analysis (Fig. S1). All colonies used in this study presented as healthy with reddish-orange pigmentation and well-defined shape. When the particles were present they auto-fluoresced in the visual light range, appearing as yellow, red, or blue dots. In general, the particles were concentrated in the center of puff-type colonies, though they were also present in tufts but in smaller numbers. Strikingly, colonies either had many such particles or none at all. Based on prior experimental evidence demonstrating that Trichodesmium colonies can capture mineral particles and access iron from them [14,15,16, 21], we hypothesized that these particles were terrestrially derived minerals (Fig. 1c–h). Therefore, we embarked to understand the morphological heterogeneity by characterizing the particles and the colony’s molecular response to them.Mineralogical characterization of the colony-associated particlesTo find out whether these natural colonies of Trichodesmium had captured iron-rich mineral particles, we performed synchrotron-based micro-X-ray fluorescence (μ-XRF) element mapping of representative colonies with the observed particle associations. Prior evidence of Trichodesmium–particle associations has been based mainly on experimental “feeding” of dust to cultured or captured colonies [15, 16, 20, 22,23,24,25], and it was therefore important to establish these specific Trichodesmium–particle relationships, which developed in nature. We examined one tuft- and two puff-type colonies, all of which had particles associated with them. The element maps were consistent with the hypothesis that there were mineral particles enriched in iron (Fe), copper (Cu), zinc (Zn), titanium/barium (Ti/Ba, which cannot be distinguished by this method), manganese (Mn) and cobalt (Co), though the concentrations approached the limit of detection for the latter two elements (Fig. 2, Figs. S2 and S3). Iron concentrations were particularly high in the particles. Micro-X-ray absorption near-edge structure (μ-XANES) spectra for iron were collected on six particles—three each from the two puffs (Fig. 2 and Fig. S4). The particles contained mineral-bound iron with average oxidation states of 2.6, 2.7, two of oxidation state 2.9, and two of oxidation state 3.0 (Table S2, Fig. S5). While the mineralogy of these particles could not be definitively resolved using μ-XANES, the structure of the absorption edge and post-edge region provided insight into broad mineral groups. Both Fe(III) (oxy/hydro)oxides and mixed-valence iron-bearing minerals consistent with iron silicates were present, suggesting heterogeneous mineral character. While we could not positively identify the silicate mineral phases based on XANES, the spectroscopic similarity of some samples to iron-smectite and the geologic context suggest iron-bearing clays were present (Fig. S5). In this geographic region, iron oxides and clays could be sourced from atmospheric dust deposition, which is common in this region [27, 28] and/or from riverine sources such as the Orinoco and/or Amazon rivers [29, 30].Fig. 2: μ-XRF-based element maps of a Trichodesmium tuft (left) and puff (right) colony (beamsize 3 ×3 μm).White/gray contours, based on the sulfur panel, which is indicative of biomass, have been provided (white = high [S] threshold, gray = lower [S] threshold). The color scale is the same for each image, with the maximum concentration for each element indicated in parentheses; iron is displayed using two scales. Iron oxidation states were determined via μ XANES for three particles in the puff colony, and these are annotated in yellow. The corresponding XANES spectra are shown in Fig. S4 and tabulated data in Table S2.Full size imageThese colony-associated mineral particles likely serve as a simultaneous source of nutritional (Fe, Ni, Co, Mn) and toxic (Cu) metals to the colonies. The elemental composition of the particles is similar to a recent characterization of Trichodesmium-particle associations in the South Atlantic [30]. Release of metals from the particles likely vary over time, with copper, nickel, zinc, and cobalt continually leaching and iron leaching initially, then re-adsorbing back onto particles unless organic chelates assist in solubilization [31].Proteome composition is altered by particle presenceTo understand the impact of the particles on colony diversity and function, we performed comparative metaproteomic analysis of the individual Trichodesmium colonies and their microbiota. Seven puffs without particles, 14 puffs with particles, and 4 tufts with particles were analyzed by a new single-colony metaproteomic method. This approach allowed for the first time the molecular profiles of heterogeneous Trichodesmium colonies to be examined individually. Compared to bulk population-level metaproteomes from this location, which achieved deeper resolution of low-abundance proteins by integrating biomass from 50 to 100 colonies (4478 proteins identified) [32], proteome coverage for the low-biomass single colonies was lower yet sufficient for characterizing colony function (2078 proteins identified, Fig. S6) [32]. In total, 1591 Trichodesmium and 487 epibiont proteins were identified across the 25 single-colony metaproteomes versus 2944 Trichodesmium and 1534 epibiont proteins across triplicate population-level metaproteomes (Tables S3 and S4). Phylogenetic exclusivity was checked such that peptides used to identify epibiont proteins were not present in the Trichodesmium genome (Table S5 and Fig. S7) [33, 34].Trichodesmium’s epibiont community plays crucial roles in colony health and physiology, and together the single-colony proteomes demonstrated a diverse and functionally active microbiome associated with the colonies (Fig. 1b and Fig. S8). The proteomic analysis generally reflected the more abundant, “core” members of the epibiont community as was expected given their low-biomass proportion relative to Trichodesmium cells. Many commonly identified epibiont groups were present including Alphaproteobacteria, Microscilla, and non-Trichodesmium cyanobacteria [12, 35, 36]. In general, epibiont abundance was unaffected by particle presence, with one exception: Firmicute proteins were more abundant in tufts and puffs with particles, suggesting enhanced, possibly anaerobic, metabolism. Greater differences were identified between the puff and tuft morphologies, independent of particle presence and consistent with prior characterizations finding that puffs and tufts harbor distinct epibiont communities [12]. Specifically, eukaryotic proteins were more abundant in puffs compared to tufts. These proteins likely represent copepods due to sequence similarity to the model organism Calanus finmarchicus, and this result is consistent with observed associations between copepods and puffs at this location (Fig. S8B). Notably, proteins from the PVC superphylum, particularly an uncharacterized eukaryote pathogen species related to Chlamydia, were also more abundant in puffs. Eukaryotes are often observed in association with Trichodesmium colonies, but are not always identified due to differences in sampling protocols that could wash them away [12], as well as due to biases in analytical methods, for instance in studies with a focus on bacterial 16S or metagenomic analyses. Overall, the differences in the epibiont community were small, suggesting that these do not explain the observed morphological heterogeneity. We therefore turn our attention to describing how the particles impacted the proteome of Trichodesmium specifically.Mineral presence was associated with significant differences in the Trichodesmium proteome. In total, 131 proteins were differently abundant in puffs with particles versus without particles (p  More