Ecology

Olszewska-Guizzo, A., Fogel, A., Benjumea, D. & Tahsin, N. Sustainable Policies and Practices in Energy, Environment and Health Research 223–243 (Springer, 2022).Book 

Google Scholar 
Gascon, M. et al. Mental health benefits of long-term exposure to residential green and blue spaces: A systematic review. Int. J. Environ. Res. Public Health 12, 4354–4379. https://doi.org/10.3390/ijerph120404354 (2015).Article 
PubMed 
PubMed Central 

Google Scholar 
Houlden, V., Weich, S., Porto-de-Albuquerque, J., Jarvis, S. & Rees, K. The relationship between greenspace and the mental wellbeing of adults: A systematic review. PLoS ONE 13, 3000 (2018).Article 

Google Scholar 
Hung, S.-H. & Chang, C.-Y. Health benefits of evidence-based biophilic-designed environments: A review. J. People Plants Env. 24, 1–16 (2021).Article 

Google Scholar 
Berman, M. G., Jonides, J. & Kaplan, S. The cognitive benefits of interacting with nature. Psychol. Sci. 19, 1207–1212. https://doi.org/10.1111/j.1467-9280.2008.02225.x (2008).Article 
PubMed 

Google Scholar 
Kaplan, S. Meditation, restoration, and the management of mental fatigue. Environ. Behav. 33, 480–506. https://doi.org/10.1177/00139160121973106 (2001).Article 

Google Scholar 
Ulrich, R. S. et al. Stress recovery during exposure to natural and urban environments. J. Environ. Psychol. 11, 201–230 (1991).Article 

Google Scholar 
Kellert, S. R. & Wilson, E. O. The Biophilia Hypothesis (Island Press, 1993).
Google Scholar 
Stack, K. & Shultis, J. Implications of attention restoration theory for leisure planners and managers. Leisure/Loisir 37, 1–16 (2013).Article 

Google Scholar 
Steel, Z. et al. The global prevalence of common mental disorders: A systematic review and meta-analysis 1980–2013. Int. J. Epidemiol. 43, 476–493. https://doi.org/10.1093/ije/dyu038 (2014).Article 
PubMed 
PubMed Central 

Google Scholar 
Mueller, D. P. The current status of urban-rural differences in psychiatric disorder. An emerging trend for depression. J. Nerv. Ment. Dis. 169, 18–27 (1981).Article 
CAS 
PubMed 

Google Scholar 
Peen, J., Schoevers, R. A., Beekman, A. T. & Dekker, J. The current status of urban-rural differences in psychiatric disorders. Acta Psychiatr. Scand. 121, 84–93. https://doi.org/10.1111/j.1600-0447.2009.01438.x (2010).Article 
CAS 
PubMed 

Google Scholar 
Taylor, L. & Hochuli, D. F. Defining greenspace: Multiple uses across multiple disciplines. Landsc. Urban Plan. 158, 25–38 (2017).Article 

Google Scholar 
en K Staats, H. Restorative Environments The Oxford Handbook of Environmental and Conservation Psychology 445th edn. (Oxford University Press, 2012).
Google Scholar 
Wood, L., Hooper, P., Foster, S. & Bull, F. Public green spaces and positive mental health–investigating the relationship between access, quantity and types of parks and mental wellbeing. Health Place 48, 63–71 (2017).Article 
PubMed 

Google Scholar 
Tsunetsugu, Y. et al. Physiological and psychological effects of viewing urban forest landscapes assessed by multiple measurements. Landsc. Urban Plan. 113, 90–93 (2013).Article 

Google Scholar 
Gidlow, C. J. et al. Where to put your best foot forward: Psycho-physiological responses to walking in natural and urban environments. J. Environ. Psychol. 45, 22–29 (2016).Article 

Google Scholar 
Lee, J. Experimental study on the health benefits of garden landscape. Int. J. Environ. Res. Public Health 14, 829 (2017).Article 
PubMed 
PubMed Central 

Google Scholar 
Fuller, R. A., Irvine, K. N., Devine-Wright, P., Warren, P. H. & Gaston, K. J. Psychological benefits of greenspace increase with biodiversity. Biol. Lett. 3, 390–394 (2007).Article 
PubMed 
PubMed Central 

Google Scholar 
Thompson, C. W., Aspinall, P. & Bell, S. Innovative Approaches to Researching Landscape and Health: Open Space: People Space 2 (Routledge, 2010).Book 

Google Scholar 
Tsutsumi, M., Nogaki, H., Shimizu, Y., Stone, T. E. & Kobayashi, T. Individual reactions to viewing preferred video representations of the natural environment: A comparison of mental and physical reactions. Jpn. J. Nurs. Sci. 14, 3–12 (2017).Article 
PubMed 

Google Scholar 
Grazuleviciene, R. et al. Tracking restoration of park and urban street settings in coronary artery disease patients. Int. J. Environ. Res. Public Health 13, 550 (2016).Article 
PubMed 
PubMed Central 

Google Scholar 
Bostancı, S. H. In New Approaches to Spatial Planning and Design (ed Murat Özyavuz) Ch. 32, 435–451 (Peter Lang, 2019).Daniel, T. C. Measuring Landscape Esthetics: The Scenic Beauty Estimation Method, vol. 167 (Department of Agriculture, Forest Service, Rocky Mountain Forest and Range…, 1976).Bacon, W. R. In (eds Elsner G. H. et al) Technical Coordinators. Proceedings of our national landscape: A conference on applied techniques for analysis and management of the visual resource [Incline Village, Nev., April 23–25, 1979]. Gen. Tech. Rep. PSW-GTR-35. Berkeley, CA. Pacific Southwest Forest and Range Exp. Stn., Forest Service, US Department of Agriculture 660–665 (1979).Gavrilidis, A. A., Ciocănea, C. M., Niţă, M. R., Onose, D. A. & Năstase, I. I. Urban landscape quality index—planning tool for evaluating urban landscapes and improving the quality of life. Procedia Environ. Sci. 32, 155–167. https://doi.org/10.1016/j.proenv.2016.03.020 (2016).Article 

Google Scholar 
Knobel, P. et al. Development of the urban green space quality assessment tool (RECITAL). Urban For. Urban Green. 57, 126895 (2021).Article 

Google Scholar 
Bacon, W. R. & Dell, J. National Forest Landscape Management (Forest Service, US Department of Agriculture, 1973).Kaplan, R., Kaplan, S. & Ryan, R. With People in Mind: Design and Management of Everyday Nature (Island Press, 1998).
Google Scholar 
Smardon, R., Palmer, J. & Felleman, J. P. Foundations for Visual Project Analysis (Wiley, 1986).
Google Scholar 
Jung, C. G. Man and His Symbols Garden City (Doubleday and Co, 1964).
Google Scholar 
Olszewska, A., Marques, P. F., Ryan, R. L. & Barbosa, F. What makes a landscape contemplative?. Env. Plan. B Urban Anal. City Sci. 45, 7–25. https://doi.org/10.1177/0265813516660716 (2016).Article 

Google Scholar 
Tarkka, I. M. & Hallett, M. Cortical topography of premotor and motor potentials preceding self-paced, voluntary movement of dominant and non-dominant hands. Electroencephalogr. Clin. Neurophysiol. 75, 36–43 (1990).Article 
CAS 
PubMed 

Google Scholar 
Olszewska-Guizzo, A., Paiva, T. O. & Barbosa, F. Effects of 3D contemplative landscape videos on brain activity in a passive exposure EEG experiment. Front. Psychiatry 9, 317. https://doi.org/10.3389/fpsyt.2018.00317 (2018).Article 
PubMed 
PubMed Central 

Google Scholar 
Bradley, M. M. & Lang, P. J. Measuring emotion: The self-assessment manikin and the semantic differential. J. Behav. Ther. Exp. Psychiatry 25, 49–59. https://doi.org/10.1016/0005-7916(94)90063-9 (1994).Article 
CAS 
PubMed 

Google Scholar 
Beck, A. T., Steer, R. A. & Brown, G. K. Beck depression inventory-II. San Antonio 78, 490–498 (1996).
Google Scholar 
Ferree, T. C., Luu, P., Russell, G. S. & Tucker, D. M. Scalp electrode impedance, infection risk, and EEG data quality. Clin. Neurophysiol. 112, 536–544. https://doi.org/10.1016/S1388-2457(00)00533-2 (2001).Article 
CAS 
PubMed 

Google Scholar 
Stroganova, T. A. & Orekhova, E. V. EEG and infant states. Infant EEG Event-Relat. Potentials 251, 280 (2007).
Google Scholar 
Cacioppo, J. T., Tassinary, L. G. & Berntson, G. Handbook of Psychophysiology (Cambridge University Press, 2007).
Google Scholar 
Ulrich, R. S. Natural versus urban scenes: Some psychophysiological effects. Environ. Behav. 13, 523–556 (1981).Article 

Google Scholar 
Choi, Y., Kim, M. & Chun, C. Measurement of occupants’ stress based on electroencephalograms (EEG) in twelve combined environments. Build. Environ. 88, 65–72 (2015).Article 

Google Scholar 
Gorji, M. A. H., Davanloo, A. A. & Heidarigorji, A. M. The efficacy of relaxation training on stress, anxiety, and pain perception in hemodialysis patients. Indian J. Nephrol. 24, 356 (2014).Article 

Google Scholar 
Cahn, B. R. & Polich, J. Meditation states and traits: EEG, ERP, and neuroimaging studies. Psychol. Bull. 132, 180 (2006).Article 
PubMed 

Google Scholar 
Gruzelier, J. A theory of alpha/theta neurofeedback, creative performance enhancement, long distance functional connectivity and psychological integration. Cogn. Process. 10, 101–109 (2009).Article 

Google Scholar 
Vecchiato, G. et al. Neurophysiological correlates of embodiment and motivational factors during the perception of virtual architectural environments. Cogn. Process. 16, 425–429 (2015).Article 
PubMed 

Google Scholar 
Lagopoulos, J. et al. Increased theta and alpha EEG activity during nondirective meditation. J. Altern. Complement. Med. 15, 1187–1192 (2009).Article 
PubMed 

Google Scholar 
Wascher, E. et al. Frontal theta activity reflects distinct aspects of mental fatigue. Biol. Psychol. 96, 57–65 (2014).Article 
PubMed 

Google Scholar 
Kabat-Zinn, J. Mindfulness. Mindfulness 6, 1481–1483 (2015).Article 

Google Scholar 
McGarrigle, T. & Walsh, C. A. Mindfulness, self-care, and wellness in social work: Effects of contemplative training. J. Relig. Spiritual. Soc. Work Soc. Thought 30, 212–233 (2011).
Google Scholar 
Grossman, P., Niemann, L., Schmidt, S. & Walach, H. Mindfulness-based stress reduction and health benefits: A meta-analysis. J. Psychosom. Res. 57, 35–43 (2004).Article 
PubMed 

Google Scholar 
Bailey, A. W., Allen, G., Herndon, J. & Demastus, C. Cognitive benefits of walking in natural versus built environments. World Leisure J. 60, 293–305 (2018).Article 

Google Scholar 
Qin, J., Zhou, X., Sun, C., Leng, H. & Lian, Z. Influence of green spaces on environmental satisfaction and physiological status of urban residents. Urban For. Urban Green. 12, 490–497 (2013).Article 

Google Scholar 
Kolb, B. & Whishaw, I. Q. Fundamentals of Human Neuropsychology (Freeman, 1990).
Google Scholar 
Milner, B. Visual recognition and recall after right temporal-lobe excision in man. Neuropsychologia 6, 191–209 (1968).Article 

Google Scholar 
Corbetta, M. & Shulman, G. L. Control of goal-directed and stimulus-driven attention in the brain. Nat. Rev. Neurosci. 3, 201–215. https://doi.org/10.1038/nrn755 (2002).Article 
CAS 
PubMed 

Google Scholar 
Chang, C.-Y. & Chen, P.-K. Human response to window views and indoor plants in the workplace. HortScience 40, 1354–1359 (2005).Article 

Google Scholar 
Herzog, T. R., Black, A. M., Fountaine, K. A. & Knotts, D. J. Reflection and attentional recovery as distinctive benefits of restorative environments. J. Environ. Psychol. 17, 165–170 (1997).Article 

Google Scholar 
Baehr, E., Rosenfeld, J. P. & Baehr, R. Clinical use of an alpha asymmetry neurofeedback protocol in the treatment of mood disorders: Follow-up study one to five years post therapy. J. Neurother. 4, 11–18 (2001).Article 

Google Scholar 
Sia, A. et al. Nature-based activities improve the well-being of older adults. Sci. Rep. 10, 1–8 (2020).Article 

Google Scholar 
Olszewska-Guizzo, A., Sia, A., Fogel, A. & Ho, R. Can exposure to certain urban green spaces trigger frontal alpha asymmetry in the brain?—Preliminary findings from a passive task EEG study. Int. J. Environ. Res. Public Health 17, 394 (2020).Article 
PubMed 
PubMed Central 

Google Scholar 
Olszewska-Guizzo, A. et al. Therapeutic garden with contemplative features induces desirable changes in mood and B rain activity in depressed adults. Front. Psychiatry https://doi.org/10.3389/fpsyt.2022.757056 (2021).Article 

Google Scholar 
Tan, S. B., Vignesh, L. N. & Donald, L. Public Housing in Singapore: Examining Fundamental Shifts (Lee Kuan Yew School of Public Policy, National University of Singapore, 2014).Tan, P. Y. Nature, Place & People: Forging Connections Through Neighbourhood Landscape Design (World Scientific Publishing Co., 2018).Book 

Google Scholar 
Peirce, J. et al. PsychoPy2: Experiments in behavior made easy. Behav. Res. Methods 51, 195–203. https://doi.org/10.3758/s13428-018-01193-y (2019).Article 
PubMed 
PubMed Central 

Google Scholar 
Edwards, A. L. Balanced Latin-square designs in psychological research. Am. J. Psychol. 64, 598–603 (1951).Article 
CAS 
PubMed 

Google Scholar 
Korpela, K. M., Ylén, M., Tyrväinen, L. & Silvennoinen, H. Determinants of restorative experiences in everyday favorite places. Health Place 14, 636–652 (2008).Article 
PubMed 

Google Scholar 
Ojala, A., Korpela, K., Tyrväinen, L., Tiittanen, P. & Lanki, T. Restorative effects of urban green environments and the role of urban-nature orientedness and noise sensitivity: A field experiment. Health Place 55, 59–70 (2019).Article 
PubMed 

Google Scholar 
Tyrväinen, L. et al. The influence of urban green environments on stress relief measures: A field experiment. J. Environ. Psychol. 38, 1–9 (2014).Article 

Google Scholar 
Herzog, T. R. & Barnes, G. J. Tranquility and preference revisited. J. Environ. Psychol. 19, 171–181 (1999).Article 

Google Scholar 
Neale, C. et al. The impact of walking in different urban environments on brain activity in older people. Cities Health 4, 94–106. https://doi.org/10.1080/23748834.2019.1619893 (2020).Article 

Google Scholar 
Kaplan, R. & Kaplan, S. The Experience of Nature: A Psychological Perspective (CUP Archive, 1989).
Google Scholar 
Treib, M. In Contemporary Landscapes of Contemplation (ed Rebecca Krinke) 27–49 (Routledge, 2005).Appleton, J. The Experience of Landscape (Wiley Chichester, 1996).
Google Scholar 
Grahn, P., Ottosson, J. & Uvnäs-Moberg, K. The oxytocinergic system as a mediator of anti-stress and instorative effects induced by nature: The calm and connection theory. Front. Psychol. 2021, 12 (2021).
Google Scholar 
Hartig, T., Mang, M. & Evans, G. W. Restorative effects of natural environment experiences. Environ. Behav. 23, 3–26. https://doi.org/10.1177/0013916591231001 (1991).Article 

Google Scholar 
Stamps Iii, A. E. Use of photographs to simulate environments: A meta-analysis. Percept. Mot. Skills 71, 907–913 (1990).Article 

Google Scholar 
Menardo, E., Brondino, M., Hall, R. & Pasini, M. Restorativeness in natural and urban environments: A meta-analysis. Psychol. Rep. 124, 417–437 (2021).Article 
PubMed 

Google Scholar  More

von Humboldt, A., and A. Bonpland. Essai sur la geographiedes plantes. Chez Levrault, Schoell et Campagnie, Libraries, Paris.(1805).Malhi, Y. et al. Introduction: elevation gradients in the tropics: laboratories for ecosystem ecology and global change research. Glob. Change Biol. 16, 3171–3175 (2010).Article 

Google Scholar 
Nottingham, A. T. et al. Climate warming and soil carbon in tropical forests: insights from an elevation gradient in the Peruvian Andes. BioScience 65, 906–921 (2015).Article 
PubMed 
PubMed Central 

Google Scholar 
Malhi, Y. et al. The variation of productivity and its allocation along a tropical elevation gradient: a whole carbon budget perspective. N. Phytologist 214, 1019–1032 (2017).Article 
CAS 

Google Scholar 
Nottingham, A. T. et al. Soil microbial nutrient constraints along a tropical forest elevation gradient: a belowground test of a biogeochemical paradigm. Biogeosciences 12, 6071–6083 (2015).Article 

Google Scholar 
Nottingham, A. T. et al. Microbes follow Humboldt: temperature drives plant and soil microbial diversity patterns from the Amazon to the Andes. Ecology 99, 2455–2466 (2018).Article 
PubMed 

Google Scholar 
Jenny, H., Bingham, F. & Padillasaravia, B. Nitrogen and organic matter contents of equatorial soils of Colombia, South-America. Soil Sci. 66, 173–186 (1948).Article 
CAS 

Google Scholar 
Tanner, E., Vitousek, P. & Cuevas, E. Experimental investigation of nutrient limitation of forest growth on wet tropical mountains. Ecology 79, 10–22 (1998).Article 

Google Scholar 
Vitousek, P. M., Matson, P. A. & Turner, D. R. Elevational and age gradients in Hawaiian montane rainforest: foliar and soil nutrients. Oecologia 77, 565–570 (1988).Article 
PubMed 

Google Scholar 
Vitousek, P. M. & Sanford, R. L. Nutrient cycling in moist tropical forest. Annu. Rev. Ecol. Syst. 17, 137–167 (1986).Article 

Google Scholar 
Krishnaswamy, J., John, R. & Joseph, S. Consistent response of vegetation dynamics to recent climate change in tropical mountain regions. Glob. Change Biol. 20, 203–215 (2014).Article 

Google Scholar 
Duque, A. et al. Mature Andean forests as globally important carbon sinks and future carbon refuges. Nat. Commun. 12, 2138 (2021).Article 
CAS 
PubMed 
PubMed Central 

Google Scholar 
Fadrique, B. et al. Widespread but heterogeneous responses of Andean forests to climate change. Nature 564, 207–212 (2018).Article 
CAS 
PubMed 

Google Scholar 
Nottingham, A. T. et al. Microbial responses to warming enhance soil carbon loss following translocation across a tropical forest elevation gradient. Ecol. Lett. 22, 1889–1899 (2019).Article 
PubMed 

Google Scholar 
Marrs, R. H., Proctor, J., Heaney, A. & Mountford, M. D. Changes in soil nitrogen-mineralization and nitrification along an altitudinal transect in tropical rain forest in Costa Rica. J. Ecol. 76, 466–482 (1988).Grubb, P. J. Control of forest growth and distribution on wet tropical mountains: with special reference to mineral nutrition. Annu. Rev. Ecol. Syst. 8, 83–107 (1977).Article 
CAS 

Google Scholar 
Wolf, K., Veldkamp, E., Homeier, J. & Martinson, G. O. Nitrogen availability links forest productivity, soil nitrous oxide and nitric oxide fluxes of a tropical montane forest in southern Ecuador. Glob. Biogeochem. Cycles 25, GB4009 (2011).Barthel, M. et al. Low N2O and variable CH4 fluxes from tropical forest soils of the Congo Basin. Nat. Commun. 13, 330 (2022).Article 
CAS 
PubMed 
PubMed Central 

Google Scholar 
Brookshire, E. N. J., Hedin, L. O., Newbold, J. D., Sigman, D. M. & Jackson, J. K. Sustained losses of bioavailable nitrogen from montane tropical forests. Nat. Geosci. 5, 123–126 (2012).Article 
CAS 

Google Scholar 
Rütting, T. et al. Leaky nitrogen cycle in pristine African montane rainforest soil. Glob. Biogeochem. Cycles 29, 1754–1762 (2015).Article 

Google Scholar 
Batjes, N. H. Total carbon and nitrogen in the soils of the world. Eur. J. Soil Sci. 47, 151–163 (1996).Article 
CAS 

Google Scholar 
Hengl, T. et al. SoilGrids250m: Global gridded soil information based on machine learning. PLoS ONE 12, e0169748 (2017).Article 
PubMed 
PubMed Central 

Google Scholar 
Poggio, L. et al. SoilGrids 2.0: producing soil information for the globe with quantified spatial uncertainty. SOIL 7, 217–240 (2021).Article 
CAS 

Google Scholar 
Bauters, M. et al. Parallel functional and stoichiometric trait shifts in South American and African forest communities with elevation. Biogeosciences 14, 5313–5321 (2017).Article 
CAS 

Google Scholar 
Dalling, J. W., Heineman, K., González, G. & Ostertag, R. Geographic, environmental and biotic sources of variation in the nutrient relations of tropical montane forests. J. Tropical Ecol. 32, 368–383 (2016).Article 

Google Scholar 
Porder, S., Vitousek, P., Chadwick, O., Chamberlain, C. & Hilley, G. Uplift, erosion, and phosphorus limitation in terrestrial ecosystems. Ecosystems 10, 158–170 (2007).Article 
CAS 

Google Scholar 
Houlton, B. Z., Morford, S. L. & Dahlgren, R. A. Convergent evidence for widespread rock nitrogen sources in Earth’s surface environment. Science 360, 58–62 (2018).Article 
CAS 
PubMed 

Google Scholar 
Hilton, R. G., Galy, A., West, A. J., Hovius, N. & Roberts, G. G. Geomorphic control on the delta N-15 of mountain forests. Biogeosciences 10, 1693–1705 (2013).Article 
CAS 

Google Scholar 
Vitousek, P. M., Van Cleve, K., Balakrishnan, N. & Mueller-Dombois, D. Soil development and nitrogen turnover in montane rainforest soils on Hawai’i. Biotropica 268–274 (1983).Taylor, P. G. et al. Temperature and rainfall interact to control carbon cycling in tropical forests. Ecol. Lett. 20, 779–788 (2017).Article 
PubMed 

Google Scholar 
Houlton, B. & Bai, E. Imprint of denitrifying bacteria on the global terrestrial biosphere. Proc. Natl Acad. Sci. USA 106, 21713–21716 (2009).Article 
CAS 
PubMed 
PubMed Central 

Google Scholar 
Shi, Z. et al. The age distribution of global soil carbon inferred from radiocarbon measurements. Nat. Geosci. 13, 555–559 (2020).Article 
CAS 

Google Scholar 
Craine, J. M. et al. Ecological interpretations of nitrogen isotope ratios of terrestrial plants and soils. Plant and Soil 396, 1–26 (2015).Högberg, P. Tansley Review No. 95. 15N Natural Abundance in Soil-Plant Systems. N. Phytologist 137, 179–203 (1997).Article 

Google Scholar 
Martinelli, L. et al. Nitrogen stable isotopic composition of leaves and soil: Tropical versus temperate forests. Biogeochemistry 46, 45–65 (1999).Article 
CAS 

Google Scholar 
Amundson, R. et al. Global patterns of the isotopic composition of soil and plant nitrogen. Glob. Biogeochem. Cycles 17, (2003).Craine, J. M. et al. Convergence of soil nitrogen isotopes across global climate gradients. Sci. Rep. 5, 8280 (2015).Mooshammer, M. et al. Adjustment of microbial nitrogen use efficiency to carbon:nitrogen imbalances regulates soil nitrogen cycling. Nat. Commun. 5, 3694 (2014).Camenzind, T., Hättenschwiler, S., Treseder, K. K., Lehmann, A. & Rillig, M. C. Nutrient limitation of soil microbial processes in tropical forests. Ecol. Monogr. 88, 4–21 (2018).Article 

Google Scholar 
Mariotti, A., Pierre, D., Vedy, J. C., Bruckert, S. & Guillemot, J. The abundance of natural nitrogen 15 in the organic matter of soils along an altitudinal gradient (Chablais, Haute Savoie, France). Catena 7, 293–300 (1980).Article 
CAS 

Google Scholar 
Sena‐Souza, J. P., Houlton, B. Z., Martinelli, L. A. & Nardoto, G. B. Reconstructing continental-scale variation in soil δ15N: a machine learning approach in South America. Ecosphere 11, e03223 (2020).Article 

Google Scholar 
Nottingham, A. T., Bååth E., Reischke, S., Salinas, N. & Meir, P. Adaptation of soil microbial growth to temperature: Using a tropical elevation gradient to predict future changes. Glob. change Biol. 25, 827–838 (2019).Liu, Y. et al. A global synthesis of the rate and temperature sensitivity of soil nitrogen mineralization: latitudinal patterns and mechanisms. Glob. Change Biol. 23, 455–464 (2017).Article 

Google Scholar 
Davidson, E. A. & Janssens, I. A. Temperature sensitivity of soil carbon decomposition and feedbacks to climate change. Nature 440, 165–173 (2006).Article 
CAS 
PubMed 

Google Scholar 
Zimmermann, M. & Bird, M. I. Temperature sensitivity of tropical forest soil respiration increase along an altitudinal gradient with ongoing decomposition. Geoderma 187–188, 8–15 (2012).Article 

Google Scholar 
Page, S. E., Rieley, J. O. & Banks, C. J. Global and regional importance of the tropical peatland carbon pool. Glob. Change Biol. 17, 798–818 (2011).Article 

Google Scholar 
Wright, S. J. Plant responses to nutrient addition experiments conducted in tropical forests. Ecol. Monogr. 89, e01382 (2019).Article 

Google Scholar 
Brookshire, E. N. J., Gerber, S., Menge, D. N. L. & Hedin, L. O. Large losses of inorganic nitrogen from tropical rainforests suggest a lack of nitrogen limitation. Ecol. Lett. 15, 9–16 (2012).Article 
CAS 
PubMed 

Google Scholar 
Corrales, A., Henkel, T. W. & Smith, M. E. Ectomycorrhizal associations in the tropics—biogeography, diversity patterns and ecosystem roles. N. Phytologist 220, 1076–1091 (2018).Article 

Google Scholar 
Zeng, Z. et al. Deforestation-induced warming over tropical mountain regions regulated by elevation. Nat. Geosci. 1–7 https://doi.org/10.1038/s41561-020-00666-0 (2020).Nogués-Bravo, D., Araújo, M. B., Errea, M. P. & Martínez-Rica, J. P. Exposure of global mountain systems to climate warming during the 21st Century. Glob. Environ. Change 17, 420–428 (2007).Article 

Google Scholar 
Weintraub, S. R., Cole, R. J., Schmitt, C. G. & All, J. D. Climatic controls on the isotopic composition and availability of soil nitrogen across mountainous tropical forest. Ecosphere 7, e01412 (2016).Article 

Google Scholar 
Brookshire, E. N. J. & Thomas, S. A. Ecosystem consequences of tree monodominance for nitrogen cycling in lowland tropical forest. PLoS ONE 8, e70491 (2013).Article 
CAS 
PubMed 
PubMed Central 

Google Scholar 
Kitayama, K. & Iwamoto, K. Patterns of natural 15N abundance in the leaf-to-soil continuum of tropical rain forests differing in N availability on Mount Kinabalu, Borneo. Plant Soil 229, 203–212 (2001).Article 
CAS 

Google Scholar 
Bauters, M. et al. Contrasting nitrogen fluxes in African tropical forests of the Congo Basin. Ecol. Monogr. 89, e01342 (2019).Article 

Google Scholar 
Proctor, J., Edwards, I. D., Payton, R. W. & Nagy, L. Zonation of forest vegetation and soils of Mount Cameroon, West Africa. Plant Ecol. 192, 251–269 (2007).Article 

Google Scholar 
Grubb, P. J. & Stevens, P. F. The Forests of the Fatima Basin and Mt Kerigomna, Papua New Guinea with a Review of Montane and Subalpine Rainforests in Papuasia (Department of Human Geography, Research School of Pacific Studies…, 2017).Dieleman, W. I. J., Venter, M., Ramachandra, A., Krockenberger, A. K. & Bird, M. I. Soil carbon stocks vary predictably with altitude in tropical forests: Implications for soil carbon storage. Geoderma 204–205, 59–67 (2013).Article 

Google Scholar 
Kapos, V., Rhind, J., Edwards, M., Price, M. F. & Ravilious, C. in Forests in sustainable mountain development: a state of knowledge report for 2000. Task Force on Forests in Sustainable Mountain Development. 4–19 (CABI, 2000). https://doi.org/10.1079/9780851994468.0004.Sexton, J. O. et al. Global, 30-m resolution continuous fields of tree cover: Landsat-based rescaling of MODIS vegetation continuous fields with lidar-based estimates of error. Int. J. Digital Earth 6, 427–448 (2013).Article 

Google Scholar 
R Core Team. R: A language and environment for statistical computing. R Foundation for Statistical Computing. https://www.R-project.org (2022).Bates, D., Maechler, M., Bolker, B. & Walker, S. Fitting linear mixed-effects models using lme4. J. Stat. Softw. 67, 1–48, https://doi.org/10.18637/jss.v067.i01 (2015).Article 

Google Scholar 
Kuznetsova, A., Brockhoff, P. B. & Christensen, R. H. B. lmerTest Package: tests in linear mixed effects models. J. Stat. Softw. 82, 1–26 (2017).Article 

Google Scholar 
Bartoń K. MuMIn: Multi-Model Inference. R package version 1.43.17 (2020).Grömping, U. Relative Importance for Linear Regression in R: The Package Relaimpo. J. Stat. Softw. 17, 1–27 (2006).Article 

Google Scholar 
Baty, F. et al. A Toolbox for Nonlinear Regression in R: The Package nlstools. J. Stat. Softw. 66, 1–21 (2015).Article 

Google Scholar  More

Singh, Y. D., Jena, B. & Ningthoujam, R. Potential bioactive molecules from natural products to combat against coronavirus. Adv. trad. Med. 1, 1–12. https://doi.org/10.1007/s13596-020-00496-w (2020).Article 
CAS 

Google Scholar 
Badke, M. R. et al. Popular knowledge: The use of medicinal plants as therapeutic form in health care. Rev. Enferm. UFSM. 6, 225–234. https://doi.org/10.1590/S0104-07072012000200014 (2016).Article 

Google Scholar 
Macedo, J. G. F. et al. Analysis of the variability of therapeutic indications of medicinal species in the Northeast of Brazil: Comparative study. Evid. Based Complementary Altern. Med. 2018, 1–29. https://doi.org/10.1155/2018/6769193 (2018).Article 

Google Scholar 
Farias, J. C., Bomfim, B. L. S., Fonseca Filho, I. C., Silva, P. R. R. & Barros, R. F. M. Insecticides and repellents plants used in a rural community in northeast Brazilian. Revista Espacios. 37, 1–6 (2016).
Google Scholar 
Silva, M. G. V., Lima, D. R., Monteiro, J. A. & Magalhães, F. E. A. Anxiolytic-like effect of chrysophanol from Senna Cana Stem in Adult Zebrafish (Danio Rerio). Nat. Prod. Res. 22, 1–5. https://doi.org/10.1080/14786419.2021.1980788 (2021).Article 
CAS 

Google Scholar 
Vincenzi, F., Borea, P. A. & Varani, K. Anxiolytic properties of A1 adenosine receptor PAMs. Oncotarget 8, 7216–7217. https://doi.org/10.18632/oncotarget.13802 (2017).Article 
PubMed 

Google Scholar 
Silva, M. I. G., Gondim, A. P. S., Nunes, I. F. S. & Sousa, F. C. F. Utilização de fitoterápicos nas unidades básicas de atenção à saúde da família no município de Maracanaú (CE). Rev. Bras. Farmacog. 16, 455–462. https://doi.org/10.1590/S0102-695X2006000400003 (2006).Article 

Google Scholar 
Guimarães, L. G. L., Silva, M. L. M., Reis, P. C. J., Costa, M. T. R. & Alves, L. L. General characteristics, phytochemistry and pharmacognosy of Lippia sidoides. Nat. Prod. Commun. 10, 1861–1867. https://doi.org/10.1177/1934578X1501001116 (2015).Article 

Google Scholar 
Veras, H. L. H. et al. Synergistic antibiotic activity of volatile compounds from the essential oil of Lippia sidoides and thymol. Fitoterap. 83, 508–512. https://doi.org/10.1016/j.fitote.2011.12.024 (2012).Article 
CAS 

Google Scholar 
Farias, E. M. F. G. et al. Antifungal activity of Lippia sidoides Cham. (Verbenaceae) against clinical isolates of Candida species. J. Herb. Med. 2, 63–67. https://doi.org/10.1016/j.hermed.2012.06.002 (2012).Article 

Google Scholar 
Cavalcanti, S. C. H. et al. Composition and acaricidal activity of Lippia sidoides essential oil Against two-spotted spider mite (Tetranychus urticae Koch). Bioresour. Technol. 101, 829–832. https://doi.org/10.1016/j.biortech.2009.08.053 (2010).Article 
CAS 
PubMed 

Google Scholar 
Monteiro, M. V. B., Leite, A. K. R. M., Bertini, L. M., Morais, S. M. & Nunes-Pinheiro, D. C. S. Topical anti-inflammatory, gastroprotective and antioxidant effects of the essential oil of Lippia sidoides Cham. Leaves. J. Ethnopharmacol. 111, 378–382. https://doi.org/10.1016/j.jep.2006.11.036 (2007).Article 
CAS 
PubMed 

Google Scholar 
Botelho, M. A. et al. Effect of a novel essential oil mouthrinse without alcohol on gingivitis: A double-blinded randomized controlled tria. J. Appl. Oral. Sci. 15, 175–180 (2007).Article 
CAS 
PubMed 
PubMed Central 

Google Scholar 
Botelho, M. A. et al. Comparative effect of an essential oil mouthrinse on plaque, gingivitis and salivary Streptococcus mutans levels: A double blind randomized study. Phytother. Res. 23, 1214–1219. https://doi.org/10.1002/ptr.2489 (2009).Article 
CAS 
PubMed 

Google Scholar 
Medeiros, M. G. F. et al. In vitro antileishmanial activity and cytotoxicity of essential oil from Lippia sidoides Cham. Parasitol. Inter. 60, 237–241. https://doi.org/10.1016/j.parint.2011.03.004 (2011).Article 
CAS 

Google Scholar 
Gomide, M. S. et al. The effect of the essential oils from five different Lippia species on the viability of tumor cell lines. Rev. Bras. Farmacogn. 23, 895–902. https://doi.org/10.1590/S0102-695X2013000600006 (2013).Article 
CAS 

Google Scholar 
Murade, V. et al. A plausible involvement of GABAA/benzodiazepine receptor in the anxiolytic-like effect of ethyl acetate fraction and quercetin isolated from Ricinus communis Linn. leaves in mice. Phytomed. Plus. 1, 100041. https://doi.org/10.1016/j.phyplu.2021.100041 (2021).Article 

Google Scholar 
Coleta, M., Campos, M. A., Cotrim, M. D., Lima, T. C. M. & Cunha, A. P. Assessment of luteolin (3′,4′,5,7-tetrahydroxyflavone) neuropharmacological activity. Behav. Brain Res. 189, 75–82. https://doi.org/10.1016/j.bbr.2007.12.010 (2008).Article 
CAS 
PubMed 

Google Scholar 
Kosalec, I., Bakmaz, M., Pepeliniak, S. & Vladimir-Knezevic, S. Quantitative analysis of the flavonoids in raw propolis from northern Croatia. A Pharmaceut. 54, 65–72 (2004).CAS 

Google Scholar 
Cunha, F. A. B. et al. Eugenia uniflora leaves essential oil induces toxicity in Drosophila melanogaster: Involvement of oxidative stress mechanisms. Toxicol. Res. 4, 634–644. https://doi.org/10.1039/c4tx00162a (2015).Article 

Google Scholar 
Coulom, H. & Birman, S. Chronic exposure to rotenone models sporadic Parkinson’s disease in Drosophila melanogaster. J. Neurosci. 24, 10993–10998. https://doi.org/10.1523/JNEUROSCI.2993-04.2004 (2004).Article 
CAS 
PubMed 
PubMed Central 

Google Scholar 
Barros, F. J. et al. Activity of essential oils of Piper aduncum anf and Cinnamomum zeylanicum by evaluating osmotic and morphologic fragility of erythrocytes. Eur. J. Integr. Med. 515, 1–8. https://doi.org/10.1016/j.eujim.2016.02.011 (2016).Article 

Google Scholar 
Meyer, B. N. et al. Brine Shrimp: A convenient general bioassay for active plant constituints. Planta Med. 45, 31–34. https://doi.org/10.1055/s-2007-971236 (1982).Article 
CAS 
PubMed 

Google Scholar 
de Magalhães, F. E. A. et al. Adult zebrafish: an alternative behavioral model of formalin-induced nociception. Zebrafish 4, 422–429. https://doi.org/10.1089/zeb.2017.1436 (2017).Article 
CAS 

Google Scholar 
OECD guideline for testing acute toxicity in fishes, Test No. 1992. http://www.oecd.org/chemicalsafety/risk-assessment/1948241.pdf. (Acessado em 25 de octuber, 2021).Arellano-Aguilar, O. et al. Use of the zebrafish embryo toxicity test for use of the zebrafish embryo toxicity test for risk assessment purpose: Case study. J. Fish Sci. 4, 52–62 (2015).
Google Scholar 
Gonçalves, N. G. G. et al. Protein fraction from Artocarpus Altilis pulp exhibits antioxidant properties and reverses anxiety behavior in adult zebrafish via the serotoninergic system. J. Funct. Foods. 66, 103772. https://doi.org/10.1016/j.jff.2019.103772 (2020).Article 
CAS 

Google Scholar 
Gebauer, D. L. et al. Effects of anxiolytics in zebrafish: Similarities and differences between benzodiazepines. Buspirone and Ethanol. Pharmacol. Biochem. Behav. 99, 480–486. https://doi.org/10.1016/j.pbb.2011.04.021 (2011).Article 
CAS 
PubMed 

Google Scholar 
Benneh, C. K. et al. Maerua Angolensis stem bark extract reverses anxiety and related behaviours in zebrafish—Involvement of GABAergic and 5-HT systems. J. Ethnopharmacol. 207, 129–145. https://doi.org/10.1016/j.jep.2017.06.012 (2017).Article 
CAS 
PubMed 

Google Scholar 
Santos, S. A., Vilela, C., Freire, C. S., Neto, C. P. & Silvestre, A. J. Ultra-high performance liquid chromatography coupled to mass spectrometry applied to the identification of valuable phenolic compounds from Eucalyptus wood. J. Chromatogr. B. 938, 65–74. https://doi.org/10.1016/j.jchromb.2013.08.034 (2013).Article 
CAS 

Google Scholar 
Pereira, O. R., Peres, A. M., Silva, A. M. S., Domingues, M. R. M. & Cardoso, S. M. Simultaneous characterization and quantification of phenolic compounds in Thymus x citriodorus using a validated HPLC–UV and ESI–MS combined method. Food Res. Inter. 54, 1773–1780. https://doi.org/10.1016/j.foodres.2013.09.016.( (2013).Article 
CAS 

Google Scholar 
Zhao, Y. et al. Characterization of phenolic constituents in Lithocarpus polystachyus. Royal Soc. Chem. https://doi.org/10.1039/c3ay41288a (2014).Article 

Google Scholar 
Petkovska, A., Gjamovski, V., Stanoeva, J. P. & Stefova, M. Characterization of the polyphenolic profiles of peel, flesh and leaves of malus domestica cultivars using UHPLC-DAD-HESI-MSn. Nat. Prod. Commun. https://doi.org/10.1177/1934578X1701200111 (2017).Article 
PubMed 

Google Scholar 
Mena, P. et al. Rapid and comprehensive evaluation of (poly)phenolic compounds in pomegranate (Punica granatum L.) juice by UHPLC-MSn. Molecules 17, 14821–14840. https://doi.org/10.3390/molecules171214821 (2012).Article 
CAS 
PubMed 
PubMed Central 

Google Scholar 
Ye, M., Han, J., Chen, H., Zheng, J. & Guo, D. Analysis of phenolic compounds in rhubarbs using liquid chromatography coupled with electrospray ionization mass spectrometry. J. Am. Soc. Mass Spectrom. 18, 82–91. https://doi.org/10.1016/j.jasms.2006.08.009 (2007).Article 
CAS 
PubMed 

Google Scholar 
Kang, J., Price, W., Ashton, J., Tapsell, L. C. & Johnson, S. Identification and characterization of phenolic compounds in hydromethanolic extracts of sorghum wholegrains by LC-ESI-MSn. Food Chem. 211, 215–226. https://doi.org/10.1016/j.foodchem.2016.05.052 (2016).Article 
CAS 
PubMed 

Google Scholar 
Schutz, K., Kammerer, D. R., Carle, R. & Schieber, A. Characterization of phenolic acids and flavonoids in dandelion (Taraxacum officinale WEB. ex WIGG.) root and herb by high-performance liquid chromatography/electrospray ionization mass spectrometry. Rapid Commun. Mass Spectrom. 19, 179–186. https://doi.org/10.1002/rcm.1767.15593267 (2005).Article 
PubMed 

Google Scholar 
Hassan, K. O., Bedgood, D. R. Jr., Prenzler, P. D. & Robards, K. Chemical screening of olive biophenol extracts by hyphenated liquid chromatography. Anal. Chim. Acta 603, 176–189. https://doi.org/10.1016/j.aca.2007.09.044 (2007).Article 
CAS 

Google Scholar 
Brito, A., Ramirez, J. E., Areche, C., Sepúlveda, B. & Simirgiotis, M. J. HPLC-UV-MS profiles of phenolic compounds and antioxidant activity of fruits from three citrus species consumed in Northern Chile. Molecules 19, 17400–17421. https://doi.org/10.3390/moléculas191117400 (2014).Article 
PubMed 
PubMed Central 

Google Scholar 
McNab, H., Ferreira, E. S. B., Hulme, A. N. & Quye, A. Negative ion ESI–MS analysis of natural yellow dye flavonoids—An isotopic labelling study. Int. J. Mass Spectrometry. 284, 57–65. https://doi.org/10.1016/j.ijms.2008.05.039 (2009).Article 
CAS 

Google Scholar 
Gouveia, S. & Castilho, P. C. Characterisation of phenolic acid derivatives and flavonoids from different morphological parts of Helichrysum obconicum by a RP-HPLC–DAD-()–ESI-MSn method. Food Chem. 129, 333–344. https://doi.org/10.1016/j.foodchem.2011.04.078 (2011).Article 
CAS 
PubMed 

Google Scholar 
Peter, S. R., Peru, K. M., Fahlman, B., McMartin, D. W. & Headley, J. V. The application of HPLC ESI MS in the investigation of the flavonoids and flavonoid glycosides of a Caribbean Lamiaceae plant with potential for bioaccumulation. J. Environ. Sci. Health B. 50, 819–826. https://doi.org/10.1080/03601234.2015.1058103 (2015).Article 
CAS 
PubMed 

Google Scholar 
Rashid, N. A. A., Lau, B. F. & Kue, C. S. Differential toxicity and teratogenic effects of the hot water and cold water extracts of Lignosus rhinocerus (Cooke) Ryvarden sclerotium on zebrafish (Danio rerio) embryos. J. Ethnopharmacol. 285(114787), 2022. https://doi.org/10.1016/j.jep.2021.114787 (2022).Article 
CAS 

Google Scholar 
Costa, S. M. O. et al. Chemical constituents from Lippia sidoides and cytotoxic activity. J. Nat. Prod. 64, 792–795. https://doi.org/10.1021/np0005917 (2001).Article 
CAS 
PubMed 

Google Scholar 
Fabri, R. L., Nogueira, M. S., Moreira, J. R., Bouzada, M. L. M. & Scio, E. Identification of antioxidant and antimicrobial compounds of Lippia Species by bioautography. J. Med. Food. 14, 840–846. https://doi.org/10.1089/jmf.2010.0141 (2011).Article 
CAS 
PubMed 

Google Scholar 
Funari, C. S. et al. Chemical and antifungal investigations of six Lippia species (Verbenaceae) from Brazil. Food Chem. 135, 2086–2094. https://doi.org/10.1016/j.foodchem.2012.06.077 (2012).Article 
CAS 
PubMed 

Google Scholar 
Garmus, T. T., Paviani, L. C., Queiroga, C. L. & Cabral, F. A. Extraction of phenolic compounds from pepper-rosmarin (Lippia sidoides Cham.) leaves by sequential extraction in fixed bed extractorusing supercritical CO2, ethanol and water as solvents. J. Supercrit. Fluids. 99, 68–75. https://doi.org/10.1016/j.supflu.2015.01.016 (2015).Article 
CAS 

Google Scholar 
Botelho, M. A. et al. Nanotechnology in phytotherapy: Antiinflammatory effect of a nanostructured thymol gel from Lippia sidoides in acute periodontitis in rats. Phytother. Res. 30, 152–159. https://doi.org/10.1002/ptr.5516 (2016).Article 
CAS 
PubMed 

Google Scholar 
Veras, H. N. et al. Atividade anti-inflamatória tópica do óleo essencial de Lippia sidoides cham: Possível mecanismo de ação. Phytother. Res. 27, 179–185. https://doi.org/10.1002/ptr.4695 (2013).Article 
CAS 
PubMed 

Google Scholar 
Fernandes, L. M., Guterres, Z. R., Almeida, I. V. & Vicentini, V. E. P. Genotoxicity and antigenotoxicity assessments of the flavonoid vitexin by the Drosophila melanogaster somatic mutation and recombination test. J. Med. food. 20, 1–9. https://doi.org/10.1089/jmf.2016.0149 (2017).Article 
CAS 

Google Scholar 
Sotibrán, A. N. C., Ordaz-Téllez, M. G. & Rodríguez-Arnaiz, R. Flavonoids and oxidative stress in Drosophila melanogaster. Mutation Res. 726(60–65), 2011. https://doi.org/10.1016/j.mrgentox.2011.08.005 (2011).Article 
CAS 

Google Scholar 
Silva, L. V. F., Mourão, R. H. V., Manimala, J. & Lnenicka, G. A. The essential oil of Lippia alba and its components affect Drosophila behavior and synaptic physiology. J. Experim. Biol. 221, 1–10. https://doi.org/10.1242/jeb.176909 (2018).Article 

Google Scholar 
Poetini, M. R. et al. Hesperidin attenuates iron-induced oxidative damage and dopamine depletion in Drosophila melanogaster model of Parkinson’s disease. Chem. Biol. Interact. 279, 177–186. https://doi.org/10.1016/j.cbi.2017.11.018 (2018).Article 
CAS 
PubMed 

Google Scholar 
Xavier, A. L. et al. Chemical composition, antitumor activity, and toxicity of essential oil from the leaves of Lippia microphylla. Z. Naturforsch. 70, 129–137. https://doi.org/10.1515/znc-2014-4138 (2015).Article 
CAS 

Google Scholar 
Freitas, M. V. et al. Influence of aqueous crude extracts of medicinal plants on the osmotic stability of human erythrocytes. Toxicol. In Vitro. 22, 219–224. https://doi.org/10.1016/j.tiv.2007.07.010 (2008).Article 
CAS 
PubMed 

Google Scholar 
Oyedapo, O. O., Akinpelu, B. A., Akinwunmi, K. F., Adeyinka, M. O. & Sipeolu, F. O. Red blood cell membrane stabilizing potentials of extracts of Lantana camara and its fractions. Plant Physiol. Biochem. 2, 46–51 (2010).
Google Scholar 
Bilto, Y. Y., Suboh, S., Aburjai, T. & Abdalla, S. Structure-activity relationships regarding the antioxidant effects of the flavonoids on human erythrocytes. Nat. Sci. 4, 740–747. https://doi.org/10.4236/ns.2012.4909 (2012).Article 

Google Scholar 
Ajaiyeoba, E. O. et al. In vitro cytotoxicity studies of 20 plants used in Nigerian antimalarial ethnomedicine. Phytomed. 13, 295–298 (2006).Article 
CAS 

Google Scholar 
Vélez, E., Regnault, H. D., Jaramillo, C. J., Veléz, A. P. E. & Isitua, C. C. Fitoquímica de Lippia citriodora K cultivada en Ecuador y su actividad biológica. Rev. Cien. UNEMI. 12, 9–19 (2019).Article 

Google Scholar 
Costa, P. S. et al. Antifungal activity and synergistic effect of essential oil from Lippia alba against trichophyton rubrum and Candida spp. Rev. Virt. Quim. 12, 1–12. https://doi.org/10.21577/1984-6835.20200119 (2020).Article 
CAS 

Google Scholar 
Gupta, P., Khobragade, S. B., Shingatgeri, V. M. & Rajaram, S. M. Assessment of locomotion behavior in adult Zebrafish after acute exposure to different pharmacological reference compounds. Drug Des. Devel. Ther. 5, 127–133. https://doi.org/10.4103/2394-2002.139626 (2014).Article 
CAS 

Google Scholar 
Bezerra, P. et al. Composição química e atividade biológicade óleos essenciais de plantas do Nordeste—gênero Lippia. Cienc. Cult. 33, 1–14 (1981).CAS 

Google Scholar 
Pascual, M. E., Slowing, K., Carretero, E., Sánchez Mata, D. & Villar, A. Lippia: Traditional uses, chemistry and pharmacology: A review. J. Ethnopharmacol. 76, 201–214. https://doi.org/10.1016/s0378-8741(01)00234-3 (2001).Article 
CAS 
PubMed 

Google Scholar 
Mamun-Or-Rashid, A. N. M., Sen, M. K., Jamal, M. A. H. M. & Nasrin, S. A comprehensive ethnopharmacological review on Lippia alba M. Int. J. Biomed. Mater. Res. 1, 14–20. https://doi.org/10.11648/j.ijbmr.20130101.13 (2013).Article 

Google Scholar 
Mácová, S. et al. Comparison of acute toxicity of 2-phenoxyethanol and clove oil to juvenile and embryonic stages of Danio rerio. Neuroendocrinol. Lett. 29, 680–684 (2008).PubMed 

Google Scholar 
Batista, F. L. A. et al. Antinociceptive effect of volatile oils from Ocimum basilicum flowers on Adult Zebrafish. Rev. Bras. Farmacog. 31, 282–289. https://doi.org/10.1007/s43450-021-00154-5 (2021).Article 
CAS 

Google Scholar 
Horzmann, K. A. & Freeman, J. L. Making waves: New developments in toxicology with the Zebrafish. Toxicol. Sci. 163, 5–12. https://doi.org/10.1093/toxsci/kfy044 (2018).Article 
CAS 
PubMed 
PubMed Central 

Google Scholar 
Ferreira, M. K. A. et al. Anxiolytic-like effect of chalcone N-{(4′-[(E)-3-(4-fluorophenyl)-1-(phenyl) prop-2-en-1-one]} acetamide on adult zebrafish (Danio Rerio): Involvement of the GABAergic system. Behav. Brain Res. 374, 111871. https://doi.org/10.1016/j.bbr.2019.03.040 (2019).Article 
CAS 
PubMed 

Google Scholar 
Siqueira-Lima, P. S. et al. Central nervous system and analgesic profiles of Lippia Genus. Rev. Bras. Farmacogn. 29, 125–135. https://doi.org/10.1016/j.bjp.2018.11.006 (2019).Article 
CAS 

Google Scholar 
Ferreira, M.K.A. da Silva, A.W. dos Santos Moura, A.L. Sales, K.V.B. Marinho, E.M. do Nascimento Martins Cardoso, J. Marinho, M.M. Bandeira, P.N. Magalhães, F.E.A. Marinho, E.S. et al. Chalcones reverse the anxiety and convulsive behavior of adult zebrafish. Epilepsy Behav. https://doi.org/10.1016/j.yebeh.2021.107881 (2021).Silva, A. W., Wlisses, A., Kueirislene, M., Ferreira, A. & Ramos, L. Combretum lanceolatum extract reverses anxiety and seizure behavior in adult zebrafish through GABAergic neurotransmis-Sion: An in vivo and in silico study. J. Biomol. Struct. Dyn. https://doi.org/10.1080/07391102.2021.1935322 (2021).Article 
PubMed 
PubMed Central 

Google Scholar 
Selmani, A. & Kovaˇcevi´, D., Bohinc, K.,. Nanoparticles: From synthesis to applications and beyond. Adv. Colloid Interface Sci. 303, 102640. https://doi.org/10.1016/j.cis.2022.102640 (2022).Article 
CAS 
PubMed 

Google Scholar  More

The structure and microstructure of the fibresThe surfaces of the natural fibres are presented from Figs. 6, 7, 8, 9, 10 and of the synthetic fibres are presented in Figs. 11 and 12.Figure 6SEM of jute fibre [Fot.M.Kurpińska].Full size imageFigure 7SEM of bamboo fibre [Fot.M.Kurpińska].Full size imageFigure 8SEM of sisal fibre [Fot.M.Kurpińska].Full size imageFigure 9SEM of cotton fibre [Fot.M.Kurpińska].Full size imageFigure 10SEM of ramie fibre [Fot.M.Kurpińska].Full size imageFigure 11SEM of polymer fibre [Fot.M.Kurpińska].Full size imageFigure 12SEM of polypropylene (PP) fibre [Fot.M.Kurpińska].Full size imageThe basic components of natural fibres influencing their properties are cellulose, hemicellulose, lignin, waxes, oils, and pectin. Cellulose is mainly composed of three elements such as carbon, hydrogen, and oxygen, and it is the material basis that forms the cell wall natural fibre. Typically, cellulose remains in the form of micro-fibrils within the cell wall of a plant. Cellulose is the main factor affecting the tensile strength along natural fibre and the cellulose content is closely related to the plant’s age and content decreases with the increasing age of the plant6.Hemicellulose is an amorphous substance offering a low degree of polymerization and it exists between fibres. Hemicellulose is a complex polysaccharide with xylan as the predominant chain, and the branches mainly include 4-O-methyl-D-glucuronic acid, L-arabinose, and D-xylose. Lignin is a kind of polymer with complex structures and of many types. The basic units of lignin include: guaiacyl, syringyl monomers, and p-hydroxyphenyl monomers. The structural units in lignin are mainly connected by ether bonds and carbon–carbon single bonds. Usually, lignin is not evenly distributed in the plant fibre wall9.In addition to three main components, lignin often contains various sugars, fats, protein substances, and a small amount of ash elements. These chemical compositions affect not only the properties of natural fibres, but also the possibility of a specific application of fibre. The composition of individual natural fibres and their properties are presented in Table 1. Figure 6a–c shows longitudinal and cross-sectional views of the untreated jute fibre. Externally, the fibre is smooth and shiny. The presence of hemicellulose influences the high hygroscopicity of jute fibres. The structure of the jute fibre shows that the fibre swells when it absorbs water. Possible swelling of the fibre in the cross-section by approx. 30%. The microscope scans of indicate the succinylated regions. This is due to the chemical bonding of the succinic anhydride molecule with the hydroxyl group of the cellulose present in the fibre. The encircled region in the top side shows an unsuccinylated region with naturally waxy impurities16.Figure 7a shows the scanning electron micrograph (SEM) of the bamboo fibre. According to the SEM analysis, the microstructure of bamboo is anisotropic. At the Fig. 7b–c it can be recognized that the orientation of cellulose fibrils was placed almost along the fibre axis which may affect to maximize the modulus of elasticity. Factors affect the mechanical properties of bamboo fibres are the chemical composition and structure of bamboo fibres, moisture content, age of bamboo, etc. In addition, the age of the plant affects the chemical composition and structure of fibre. These factors and the natural humidity influence their change of mechanical properties. The hemicellulose content directly influences the tensile strength. This parameter increases with the decrease in the hemicellulose content in the bamboo fibre18.The cell structure of bamboo fibres is complex, and the middle layer of the cell wall has a multi-layer structure. The lignification of the thin and thick layers in the multilayer structure varies. The multi-layered cell wall structure leads to better fracture resistance and promotes internal sliding between the cell wall layers during tension. The angle of the microfiber alignment is also an important factor influencing the mechanical properties of the fibre. Typically, the tensile strength and modulus of elasticity of a fibre increase as the angle between the interposition of the microfibers decreases. Hence, the smaller microfibril angle is an important factor that contributes to the good mechanical properties of bamboo fibre. Large voids between bamboo fibre molecules can be seen, which impact good hygroscopicity19. The moisture content is an important factor affecting the mechanical properties of bamboo fibres. Figure 8a–c shows the morphology of the sisal fibre. The surface of the sisal fibre has higher roughness, and it increases the bonding area between the fibre and cement paste. This leads to increase the mechanical properties of the composites38.Figure 9a–c shows images of the cotton fibres. At the microscope image, a cotton fibre looks like a twisted ribbon or a collapsed and twisted tube. These twists are called convolutions: there are about 60 convolutions per centimetre. The weaves give the cotton an uneven surface of the fibres, which increases the friction between the fibres, but at the same time they can prevent fibres from evenly dispersing in the cement matrix. The outer layer, the cuticle is a thin film of mostly fats and waxes. Figure 9b shows the waxy layer surface with some smooth grooves. The waxy layer forms a thin sheet over the primary wall that forms grooves on the cotton surface19. The cotton fibre surface comprises non-cellulosic materials and amorphous cellulose in which the fibrils are arranged in a criss-cross pattern. Owing to the non-structured orientation of cellulose and non-cellulosic materials, the wall surface is unorganized and open. This gives flexibility to the fibre. The basic ingredients, responsible for the complicated interconnections in the primary wall, are cellulose, hemicelluloses, pectin, proteins, and ions. In the core of fibre, only the crystalline cellulose is present, what is highly ordered and has a compact structure with the cellulose fibrils lying parallel to one another18.SEM micrograph of the surface and cross section of the ramie fibre are shown at Fig. 10a–c. The surface of the ramie fibres is dense but porous. There are many micropores and continuous bubbles in the porous structure of a single bundle of a ramie fibre Fig. 10c. This structure has some effect for low absorption of water, moreover, it is also related to the fibre distribution in the cement composites. In case of the short ramie fibre, due to its random distribution in composites, the strength of the composite may be affected. Cellulose, lignin, and hemicellulose weight materials can form a dense layer on the surface of the ramie fibres, so the water absorptivity is low. This special structure of the fibre with a dense matrix, and at the same time, with a characteristic pore arrangement has an influence on the adhesion of the cement matrix and the strength of the cement composite18.The surface and cross section of multifilament macrofibre is demonstrated at Fig. 11a–c. From the chemical point of view, this type of fibres belongs to the polymers from the group of polyolefins, composed of units of the formula: –[CH2CH (CH3)]–. They are obtained by low-pressure polymerization of propylene. They are made of 100% pure co-polymer twisted bundles of multifilament fibres Fig. 11c. Polypropylene is one of two most commonly used plastics, in addition to polyethylene. Polypropylene is a hydrocarbon thermoplastic polymer2.Figure 12a–c shows the structure of a bundle of polypropylene (PP) fibres in the form of a 3D mesh. They are made of isotactic polypropylene, called propylene, CH2=CHCH3 obtained from crude oil. They are one of the finest polypropylene fibres. The surface of the fibres is smooth Fig. 12b 2.The consistency—fluidityThe results of fluidity are shown at Fig. 13. The fluidity of the composite not modified with fibres is 145 mm and is a reference to other test results. The use of bamboo fibres increased the composite fluidity and composite flow by 8.6% (157.5 mm). The use of polymer fibers and jute increased the consistency by about 7%, while the use of sisal fibres by 3%. The use of PP fibres (122.5 mm) had the greatest impact on the loss of consistency by 15.5%. The use of cotton and frame fibres resulted in a reduction of workability and consistency by 13.8% and 3.5%, respectively.Figure 13Results of fluidity test.Full size imageBased on the research results, it was found that in the case of using bamboo fibres characterizing a high absorption of 120–145%, the consistency of composite increased by 8.2% compared to the consistency of composite without fibres. In the case of a change in consistency, the chemical composition of natural fibres, their surface, and the total length in the volume of composite are significant, too. There is a noticeable regularity related to the cellulose content in natural fibres. If the higher cellulose content, it reduces the consistency of the composite. For example, the cellulose content in bamboo fibres is the lowest and amounts to 40–45%, while the cellulose content in cotton fibres is the highest, ranging from 80 to 94%. It can also be recognized that consistency and workability will be influenced by the hemicellulose content.The higher the hemicellulose content, it impacts the higher consistency of the composite. It is similar referring to the content of lignin. It was noticed that the higher the lignin content, the higher the composite consistency was found. Regarding the total length of the fibres, a regularity is apparent that the greater the total length of fibres, e.g., in the case of cotton fibres, the greater decrease in consistency is visible. In the case of polymer and polypropylene (PP) fibres, the consistency is influenced by the surface of the fibre, the number of fibres, and their total length in the volume of the composite. Increasing the total length of PP fibres by approx. 15% resulted in a reduction of the consistency of approx. 20%.Flexural and compressive strengthAssigning mechanical properties of fibre reinforced composite, particular emphasis was placed on the determination of the flexural strength of the composite. This parameter was appointed by the 3-point test. Figure 14. shows the flexural strength of plain composite and 7 groups of different fibre reinforced composites on the 2nd, 7th, 28th, and 56th days.Figure 14Flexural strength test results.Full size imageIt can be seen that the bending strength of composites with the addition of natural fibres, ramie, bamboo, jute, and sisal are similar. The bending strength of composites with PP and polymer fibres is lower. It should be noted that the strength of the cotton fibre-reinforced composite is much lower than that of all the others tested. The reason may be the low tensile strength of the cotton fibres used. When mixing the composites, a tendency to create conglomerates of cotton fibres was also noticed, which may affect the strength of the composites.The test results clearly show that the effectiveness of the added natural fibres depends on the chemical composition and mechanical properties, and above all, on their adhesion to the cement matrix. The adhesion of the natural fibre to the cement matrix has a significant influence on the mechanical properties of the cement composite, in particular on compression and bending strength. The highest bending strength was achieved by cement composites modified with ramie fibres. Ramie fibres are characterized by the highest tensile strength among the tested synthetic and natural fibres, ranging from 400 to 1000 MPa. The results of the compressive strength are shown in Fig. 15.Figure 15Compressive strength test results.Full size imageThe analysis of the test results shows that the use of dispersed fibres reduced the early compressive strength after 2 days from 8.5 to 33%. The exception is the ramie fibres, the use of which increased the early strength by 6.6%. Within 28 days, as in the case of early strength, the use of all types of synthetic and natural fibres resulted in a decrease in strength from 4.6 to 26.5%. The exception is the use of ramie fibres, which increased the compressive strength by 7.2% after 28 days. After 56 days, a decrease in strength was noticed in the case of using PP and polymer synthetic fibres as well as natural cotton and bamboo from 5.5 to 11.9%.On the other hand, the increase in compressive strength after 56 days from 5.8 to 16.4% was visible in the case of using fibres such as sisal, jute and ramie. The highest compressive strength was achieved by the composite with a ramie fibre. The fibre of the ramie is characterized by the highest modulus of elasticity ranging from 24.5 to 128 GPa and is over 100% higher than the Young’s modulus of the other fibres.Shrinkage testFigure 16A shows that the samples after demolding showed expansion for about 2 days, and from the third day after demolding, the length of the samples was shortened. The lowest degree of expansion in the first days was shown by samples without fibres and samples containing cotton fibres. In this case, the expansion did not exceed 0.02 mm/m. However, the same samples finally showed the highest shrinkage after 180 days, which was 0.06 mm/m.Figure 16Testing the change in length of samples.Full size imageThe highest expansion within 48 h after deformation was shown by samples containing sisal fibres, while these samples finally after 180 days showed the lowest deformation of the length of the samples, which was 0.001 mm/m. The samples containing the synthetic fibres showed an expansion of about 0.02–0.03 mm/m in 48 h and the final shrinkage after 180 days was 0.03 mm/m for both the polymer and PP fibre samples. The bamboo and ramie fibres initially showed an expansion of 0.04–0.06 mm/m while their final shrinkage was 0.02 mm/m. The samples with jute fibres showed an expansion of 0.04 mm/m and the final shrinkage of the samples was 0.04 mm/m. Figure 16a,b shows the results of testing the change in length of samples over time.After 180 days, the total deformation of the samples was determined. Samples containing sisal fibers showed a slight expansion of about 0.001 mm/m, while the highest deformation (shrinkage) was shown for composite samples without fibers and with cotton fibres, which was 0.06 mm/m. Samples with bamboo, jute, PP, polymer and ramie fibres showed a shrinkage from 0.02 to 0.04 mm/m. Only the samples containing the sisal fibre showed a slight expansion of 0.001 mm/m.Ultimately, the samples containing sisal fibres were characterized by the lowest deformability. This phenomenon is related to the fibre structure and the total length of the fibres in a sample with dimensions of 40 × 40 × 160mm. For example, in a sample containing sisal fibres, their total length is 5856.7 m. Otherwise, a sample containing jute fibres, their total length in the sample is only 7.4 m. Therefore it was found that the fibre structure, its diameter, the cellulose content and the total length of the fibres in the element are important factors of deformation as a result of shrinkage or expansion of the fibre reinforced composite.Water absorption of composite testHigher water absorption (8.5%) compared to the composite without fibres was noticed in the case of using both synthetic fibres and with the exception of the use of ramie fibres, which caused a slight reduction in water absorption to 8.2%. It can be recognized that the water absorption rate of the 8 groups of samples is slightly different, the highest is the polymer fibre-reinforced composite (9.2%); the lowest water absorption rate refers to ramie fibre-reinforced composite (8.2%). The difference in water absorption rates is presented at Fig. 17.Figure 17Water absorption of composite (%).Full size imageExcept for cotton fibre-reinforced composite, the water absorption rate of another plant fibre-reinforced composite is lower than that of synthetic fibre-reinforced composite. Probably because of the fact that ramie, sisal, and jute fibres all have good moisture absorption and release properties. It is commonly known that plant fibre-reinforced cement-based materials have reduced strength and initial properties due to their performance degradation in a humid environment, so their long-term durability could become problematic. Sisal fibres (with noticed absorption of 95–100%) have absorbed more cement slurry on their surface than jute fibres (absorption of fibre 7–12%). This phenomenon could be explained by the fact that the slurry became the impregnation of the fibre. The absorbability of the composite was tested after the composite had completely hardened. Probably a fibre that is characterized by high absorption—sisal is very well “embedded” in the matrix, therefore the bending strength results for composites with sisal fibre were higher by 8–10%. More

Al-Mutawa, A. M., Al Murbati, W. M., Al Ruwaili, N. A., Al Orafi, A. S., Al Orafi, A., Al Arafati, A., Nasrullah, A., Al Bahow, M. R., Al Anzi, S. M., Rashisi, M. & Al Moosa, S. Z. Desalination in the gcc. the history, the present & the future. Available from: https://www.gcc-sg.org/en-us/CognitiveSources/DigitalLibrary/Lists/DigitalLibrary/WaterandElectricity/1414489603.pdf Second edition, The Cooperation Council for the Arab States of the Gulf (GCC) General Secretariat (2014).Global Water Intelligence. DesalData. https://www.desaldata.com/. Accessed 2022-05-01 (2022).Sharifinia, M., Afshari Bahmanbeigloo, Z., Smith Jr, W. O., Yap, C. K. & Keshavarzifard, M. Prevention is better than cure: Persian gulf biodiversity vulnerability to the impacts of desalination plants. Glob. Change Biol. 25(12), 4022–4033 (2019).Article 

Google Scholar 
Connor, R. The United Nations World Water Development Report 2015: Water for a Sustainable World. Number 79. UNESCO, (2015).Al-Senafy, M., Al-Fahad, K. & Hadi, K. Water management strategies in the Arabian gulf countries. In Developments in Water Science, volume 50, pages 221–224. Elsevier, (2003).Ulrichsen, K.C.. Internal and external security in the arab gulf states. Middle East Policy16(2), 39 (2009).Verner, D. Adaptation to a changing climate in the Arab countries: a case for adaptation governance and leadership in building climate resilience. Number 79. World Bank Publications, (2012).Einav, R., Harussi, K. & Perry, D. The footprint of the desalination processes on the environment. Desalination 152(1–3), 141–154 (2003).Article 

Google Scholar 
Dawoud, M. A. Environmental impacts of seawater desalination: Arabian Gulf case study. Int. J. Environ. Sustain.1(3) (2012).Chow, A. C. et al. Numerical prediction of background buildup of salinity due to desalination brine discharges into the Northern Arabian Gulf. Water 11(11), 2284 (2019).Article 

Google Scholar 
Lee, K. & Jepson, W. Environmental impact of desalination: A systematic review of life cycle assessment. Desalination 509, 115066 (2021).Article 

Google Scholar 
Hosseini, H. et al. Marine health of the Arabian gulf: Drivers of pollution and assessment approaches focusing on desalination activities. Mar. Pollut. Bull. 164, 112085 (2021).Article 
PubMed 

Google Scholar 
Le Quesne, W. J. F. et al. Is the development of desalination compatible with sustainable development of the Arabian Gulf?. Mar. Pollut. Bull. 173, 112940 (2021).Article 
PubMed 

Google Scholar 
Kress, N., & Galil, B. Impact of seawater desalination by reverse osmosis on the marine environment. Efficient Desalination by Reverse Osmosis: A guide to RO practice. IWA, London, UK, pp. 177–202 (2015).Reynolds, R. M. Physical oceanography of the Gulf, Strait of Hormuz, and the Gulf of Oman: Results from the Mt Mitchell expedition. Mar. Pollut. Bull. 27, 35–59 (1993).Article 

Google Scholar 
Swift, S. A. & Bower, A. S. Formation and circulation of dense water in the Persian/Arabian Gulf. J. Geophys. Res. Oceans 108(C1), 1–4 (2003).Article 

Google Scholar 
Pous, S. P., Carton, X., & Lazure, P. Hydrology and circulation in the strait of hormuz and the Gulf of Oman: Results from the gogp99 experiment: 1. strait of hormuz. J. Geophys. Res. Oceans109(C12), (2004).Pous, S., Lazure, P. & Carton, X. A model of the general circulation in the persian gulf and in the strait of hormuz: Intraseasonal to interannual variability. Cont. Shelf Res. 94, 55–70 (2015).Article 

Google Scholar 
Johns, W. E., Yao, F., Olson, D. B., Josey, S. A., Grist, J. P. & Smeed, D. A. Observations of seasonal exchange through the Straits of Hormuz and the inferred heat and freshwater budgets of the Persian Gulf. J. Geophys. Res. Oceans108(C12) (2003).Hassanzadeh, S., Hosseinibalam, F. & Rezaei-Latifi, A. Numerical modelling of salinity variations due to wind and thermohaline forcing in the Persian gulf. Appl. Math. Model. 35(3), 1512–1537 (2011).Article 
MathSciNet 
MATH 

Google Scholar 
Price, A. R. G. Western Arabian gulf echinoderms in high salinity waters and the occurrence of dwarfism. J. Nat. Hist. 16(4), 519–527 (1982).Article 

Google Scholar 
Sheppard, C. R. C. Similar trends, different causes: Responses of corals to stressed environments in Arabian seas. In Proceedings of the 6th International Coral Reef Symposium Townsville, Australia, volume 3, pp. 297–302 (1988).Coles, S. L. & Jokiel, P. L. Effects of salinity on coral reefs. In Connell, D. W., & Hawker, D. W. editors, Pollution in tropical aquatic systems, pp. 147–166. CRC Press, Florida (1992).Coles, S. L. Coral species diversity and environmental factors in the Arabian gulf and the Gulf of Oman: A comparison to the Indo-Pacific region. Atoll Res. Bull. (2003).D’Agostino, D. et al. Growth impacts in a changing ocean: Insights from two coral reef fishes in an extreme environment. Coral Reefs 40(2), 433–446 (2021).Article 

Google Scholar 
Bœuf, G. & Payan, P. How should salinity influence fish growth?. Compar. Biochem. Physiol. Part C Toxicol. Pharmacol. 130(4), 411–423 (2001).Article 

Google Scholar 
Baudron, A. R., Needle, C. L., Rijnsdorp, A. D. & Marshall, C. T. Warming temperatures and smaller body sizes: Synchronous changes in growth of north sea fishes. Glob. Change Biol. 20(4), 1023–1031 (2014).Article 

Google Scholar 
Dore, M. H. I. Forecasting the economic costs of desalination technology. Desalination 172(3), 207–214 (2005).Article 

Google Scholar 
Karagiannis, I. C. & Soldatos, P. G. Water desalination cost literature: Review and assessment. Desalination 223(1–3), 448–456 (2008).Article 

Google Scholar 
Al Barwani, H. H. & Purnama, A. Evaluating the effect of producing desalinated seawater on hypersaline Arabian Gulf. Eur. J. Sci. Res. 22(2), 279–285 (2008).
Google Scholar 
Lee, W. & Kaihatu, J. M. Effects of desalination on hydrodynamic process in Persian Gulf. Coast. Eng. Proc. 36, 3–3 (2018).Article 

Google Scholar 
Ibrahim, H. D. & Eltahir, E. A. B. Impact of brine discharge from seawater desalination plants on Persian/Arabian gulf salinity. J. Environ. Eng. 145(12), 04019084 (2019).Article 

Google Scholar 
Campos, E. J. D. et al. Impacts of brine disposal from water desalination plants on the physical environment in the Persian/Arabian Gulf. Environ. Res. Commun. 2(12), 125003 (2020).Article 

Google Scholar 
Ibrahim, H. D., Xue, P. & Eltahir, E. A. B. Multiple salinity equilibria and resilience of Persian/Arabian Gulf basin salinity to brine discharge. Front. Mar. Sci. 7, 573 (2020).Article 

Google Scholar 
Ibrahim, H. D. Simulated effects of seawater desalination on Persian/Arabian Gulf exchange flow. J. Environ. Eng. 148(4), 04022012 (2022).Article 

Google Scholar 
Purnama, A. Assessing the environmental impacts of seawater desalination on the hypersalinity of arabian/persian gulf. In The Arabian Seas: Biodiversity, Environmental Challenges and Conservation Measures, pp. 1229–1245. Springer, (2021).GEBCO Compilation Group. The GEBCO_2021 grid: A continuous terrain model of the global oceans and land, (2021).Stommel, H. Thermohaline convection with two stable regimes of flow. Tellus 13(2), 224–230 (1961).Article 

Google Scholar 
Nakamura, M., Stone, P. H. & Marotzke, J. Destabilization of the thermohaline circulation by atmospheric eddy transports. J. Clim. 7(12), 1870–1882 (1994).Article 

Google Scholar 
Pasquero, C. & Tziperman, E. Effects of a wind-driven gyre on thermohaline circulation variability. J. Phys. Oceanogr. 34(4), 805–816 (2004).Article 

Google Scholar 
Lucarini, V. & Stone, P. H. Thermohaline circulation stability: A box model study. part ii: coupled atmosphere-ocean model. J. Clim. 18(4), 514–529 (2005).Article 

Google Scholar 
Wunsch, C. Thermohaline loops, stommel box models, and the sandström theorem. Tellus A Dyn. Meteorol. Oceanogr. 57(1), 84–99 (2005).
Google Scholar 
Privett, D. W. Monthly charts of evaporation from the N. Indian Ocean (including the Red Sea and the Persian Gulf). Q. J. R. Meteorol. Soc. 85(366), 424–428 (1959).Article 

Google Scholar 
Chao, S.-Y., Kao, T. W. & Al-Hajri, K. R. A numerical investigation of circulation in the Arabian Gulf. J. Geophys. Res. Oceans 97(C7), 11219–11236 (1992).Article 

Google Scholar 
Hersbach, H. et al. The ERA5 global reanalysis. Q. J. R. Meteorol. Soc. 146(730), 1999–2049 (2020).Article 

Google Scholar 
Thoppil, P. G. & Hogan, P. J. Persian Gulf response to a wintertime shamal wind event. Deep Sea Res. Part I 57(8), 946–955 (2010).Article 

Google Scholar 
Paparella, F., Chenhao, X., Vaughan, G. O. & Burt, J. A. Coral bleaching in the Persian/Arabian Gulf is modulated by summer winds. Front. Mar. Sci. 6, 205 (2019).Article 

Google Scholar 
Gutiérrez, J.M., Jones, R. G., Narisma, G.T., Alves, L.M., Amjad, M., Gorodetskaya, I.V., Grose, M., Klutse, N.A.B., Krakovska, S., Li, J., Martínez-Castro, D., Mearns, L.O., Mernild, S.H., Ngo-Duc, T., van den Hurk, B. & Yoon, J.-H. Atlas. In V. Masson-Delmotte, P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou, editors, Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, (2021). Available from http://interactive-atlas.ipcc.ch/.Alosairi, Y., Imberger, J., & Falconer, R. A. Mixing and flushing in the Persian Gulf (Arabian Gulf). J. Geophys. Res. Oceans116(C3) (2011).Whitehead, J. A. Internal hydraulic control in rotating fluids – applications to oceans. Geophys. Astrophys. Fluid Dyn. 48(1–3), 169–192 (1989).Article 
MATH 

Google Scholar 
Dougherty, W. W., Yates, D. N., Pereira, J. E., Monaghan, A., Steinhoff, D., Ferrero, B., Wainer, I., Flores-Lopez, F., Galaitsi, S., & Kucera, P., et al. The energy–water–health nexus under climate change in the united arab emirates: Impacts and implications. In Climate Change and Energy Dynamics in the Middle East, pp. 131–180. Springer, (2019).Al-Shehhi, M. R., Song, H., Scott, J. & Marshall, J. Water mass transformation and overturning circulation in the Arabian gulf. J. Phys. Oceanogr. 51(11), 3513–3527 (2021).
Google Scholar 
Hausfather, Z. & Peters, G. P. Emissions-the “business as usual’’ story is misleading. Nature 577, 618–620 (2020).Article 
PubMed 

Google Scholar 
Al-Ghouti, M. A., Al-Kaabi, M. A., Ashfaq, M. Y. & Da’na, D. A. Produced water characteristics, treatment and reuse: A review. J. Water Process Eng. 28, 222–239 (2019).Article 

Google Scholar 
Riegl, B. M. & Purkis, S. J. Coral reefs of the gulf: adaptation to climatic extremes in the world’s hottest sea. In Coral reefs of the Gulf, pp. 1–4. Springer, (2012).Burt, J. A. et al. Insights from extreme coral reefs in a changing world. Coral Reefs 39(3), 495–507 (2020).Article 

Google Scholar 
D’Agostino, D. et al. The influence of thermal extremes on coral reef fish behaviour in the Arabian/Persian gulf. Coral Reefs 39(3), 733–744 (2020).Article 

Google Scholar 
Lachkar, Z., Mehari, M., Lévy, M., Paparella, F., & Burt, J.A. Recent expansion and intensification of hypoxia in the Arabian gulf and its drivers. Front. Mar. Sci. 1616 (2022).De Verneil, A., Burt, J. A., Mitchell, M., & Paparella, F. Summer oxygen dynamics on a southern Arabian Gulf coral reef. Front. Mar. Sci. 1676 (2021).Petersen, K. L. et al. Impact of brine and antiscalants on reef-building corals in the gulf of aqaba-potential effects from desalination plants. Water Res. 144, 183–191 (2018).Article 
PubMed 

Google Scholar 
Sanchez-Lizaso, J. L. et al. Salinity tolerance of the mediterranean seagrass posidonia oceanica: recommendations to minimize the impact of brine discharges from desalination plants. Desalination 221(1–3), 602–607 (2008).Article 

Google Scholar 
Cambridge, M. L., Zavala-Perez, A., Cawthray, G. R., Mondon, J. & Kendrick, G. A. Effects of high salinity from desalination brine on growth, photosynthesis, water relations and osmolyte concentrations of seagrass posidonia australis. Mar. Pollut. Bull. 115(1–2), 252–260 (2017).Article 
PubMed 

Google Scholar 
Cambridge, M. L. et al. Effects of desalination brine and seawater with the same elevated salinity on growth, physiology and seedling development of the seagrass posidonia australis. Mar. Pollut. Bull. 140, 462–471 (2019).Article 
PubMed 

Google Scholar 
Kelaher, B. P., Clark, G. F., Johnston, E. L. & Coleman, M. A. Effect of desalination discharge on the abundance and diversity of reef fishes. Environ. Sci. Technol. 54(2), 735–744 (2019).Article 
PubMed 

Google Scholar 
Gegner, H. M. et al. High salinity conveys thermotolerance in the coral model aiptasia. Biol. Open 6(12), 1943–1948 (2017).PubMed 
PubMed Central 

Google Scholar 
Ochsenkühn, M. A., Röthig, T., D’Angelo, C., Wiedenmann, J. & Voolstra, C. R. The role of floridoside in osmoadaptation of coral-associated algal endosymbionts to high-salinity conditions. Sci. Adv. 3(8), e1602047 (2017).Article 
PubMed 
PubMed Central 

Google Scholar 
Gegner, H. M. et al. High levels of floridoside at high salinity link osmoadaptation with bleaching susceptibility in the cnidarian-algal endosymbiosis. Biol. Open 8(12), bio045591 (2019).Article 
PubMed 
PubMed Central 

Google Scholar 
Thoppil, P. G. & Hogan, P. J. A modeling study of circulation and eddies in the Persian Gulf. J. Phys. Oceanogr. 40(9), 2122–2134 (2010).Article 

Google Scholar 
Pous, S., Carton, X. & Lazure, P. A process study of the tidal circulation in the Persian gulf. Open J. Mar. Sci. 2(04), 131–140 (2012).Article 

Google Scholar 
Haney, R. L. Surface thermal boundary condition for ocean circulation models. J. Phys. Oceanogr. 1(4), 241–248 (1971).Article 

Google Scholar  More

A theme is emerging in this year’s United Nations conferences on biodiversity (COP15), climate change (COP27) and the international wildlife trade (COP19): countries are struggling to meet key conservation targets. We argue that field research stations are an effective — but imperilled and overlooked — tool that can help policy frameworks to meet those targets. We write on behalf of 149 experts from 47 countries.
Competing Interests
The authors declare no competing interests. More

I was filled with hope when I read the first draft of the Global Biodiversity Framework (GBF) in mid-2021. It seemed that the parties to the United Nations Convention on Biodiversity had learnt from bitter experience — the failure of the Aichi Biodiversity Targets, set for the previous decade. Instead of vague aims, the draft framework incorporated most of the advice that the scientific community, myself included, had marshalled. It contained ambitious quantitative thresholds, such as those for the area of ecosystem to be protected, the percentage of genetic diversity to be maintained, and percentage reductions for overall extinction rates, pesticide use and subsidies harmful to biodiversity.Then came the square brackets. In the world of policy, these mark proposed amendments that the parties do not yet agree on. The square brackets proliferated at an alarming rate throughout the GBF text, enclosing, neutralizing and paralysing goals and targets. By July 2021, in a version about 10,200 words long, there were more than 900 pairs of square brackets.Brackets germinated with particular vigour in sections that could make the greatest difference for a better future because of their precision, ambition or conceptual novelty. Almost all quantitative thresholds had been bracketed or had disappeared.
The United Nations must get its new biodiversity targets right
I applaud the new prominence given to gender justice (with a new dedicated Target 22) and to financial resources and capacity building (Target 19). I wonder why other key aspects have not received the same treatment, and have instead been compressed almost beyond recognition. For example, the first draft highlighted that species, ecosystems, genetic diversity and nature’s contribution to people each needed their own specific, verifiable outcomes. Now they have coagulated into one vague yet verbose paragraph.This thicket of square brackets smothers the GBF and the hopes of those of us who see transformative change as the only way forward for life on Earth as we know it.In a titanic effort, a streamlined proposal from the Informal Group on the GBF has halved the brackets to be considered by the parties when they meet in Montreal, Canada, for the 15th Conference of the Parties (COP15) on 7–19 December.We need a text with teeth — and far fewer brackets. This much we have learnt in the 30 years since the foundational 1992 Rio Summit drew attention to the impact of human activities on the environment: a strong, precise, ambitious text does not in itself ensure successful implementation, but a weak, vague, toothless text almost guarantees failure.It was no surprise when the Convention on Biological Diversity officially declared the failure of its ten-year Aichi Targets. People involved at the international interface of biodiversity science and policy were already discussing how to do better in the next decade with the GBF.
Crucial biodiversity summit will go ahead in Canada, not China: what scientists think
The scientific community rose to the occasion. In just three years, we produced the first-ever intergovernmental appraisal of life on Earth and what it means to people: The Global Assessment Report on Biodiversity and Ecosystem Services from IPBES (the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services), which I co-chaired. It was ready in time for the original 2020 date for COP15, before the global disruption caused by COVID-19. It was the most comprehensive ever synthesis of published information on the topic, an inclusive conceptual framework involving various disciplines and knowledge systems, and unprecedented participation of Indigenous peoples.Then, in 2020, we assembled an interdisciplinary team of more than 60 biodiversity scientists across the world, and within a few months produced detailed suggestions for the goals of the GBF. Since then, we have made the best of the many pandemic postponements by issuing a stream of specific, evidence-based recommendations on targets, scenarios and implementation.The scientific advice is convergent. First, the GBF needs to explicitly address each facet of biodiversity; none is a good substitute or umbrella for the others. Second, the biodiversity goals must be more ambitious than ever, accompanied by equally ambitious targets for concrete action and sufficient resources to make them happen. Third, the targets need to be precise, traceable and coordinated.Fourth, formally protecting a proportion of the planet’s most pristine ecosystems will by itself fall far short. Nature must be mainstreamed, incorporated in decisions made for the landscapes in which we live and work every day, well beyond protected areas. Finally, and most crucially, targets must focus on the root causes of biodiversity loss: the ways in which we consume, trade and allocate subsidies, incentives and safeguards.From previous experience, I expected objections to certain sections— pesticides and subsidies, say — but they are everywhere. Only 2 of the 22 targets have no brackets. Ironing out objections takes precious time. Because the framework can be enshrined only by consensus, too many objections can lead to too much compromise.Now, to avert failure, we exhort the governments gathering in Montreal to be brave, long-sighted and open-hearted, and to produce a visionary, ambitious biodiversity framework, grounded in knowledge. The awareness and mobilization of their constituencies has never been greater, the evidence in their hands never clearer. If not now, when?

Competing Interests
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McFall-Ngai, M. et al. Animals in a bacterial world, a new imperative for the life sciences. Proc. Natl. Acad. Sci. 110, 3229–3236 (2013).Article 
CAS 
PubMed 
PubMed Central 

Google Scholar 
Archibald, J. M. Endosymbiosis and eukaryotic cell evolution. Curr. Biol. 25, R911–R921 (2015).Article 
CAS 
PubMed 

Google Scholar 
Moran, N. A. Symbiosis as an adaptive process and source of phenotypic complexity. Proc. Natl. Acad. Sci. U.S.A. 104(Suppl 1), 8627–8633 (2007).Article 
CAS 
PubMed 
PubMed Central 

Google Scholar 
Hurst, G. D. D. Extended genomes: Symbiosis and evolution. Interface Focus. https://doi.org/10.1098/rsfs.2017.0001 (2017).Article 
PubMed 
PubMed Central 

Google Scholar 
Moran, N. A., McCutcheon, J. P. & Nakabachi, A. Genomics and evolution of heritable bacterial symbionts. Annu. Rev. Genet. 42, 165–190 (2008).Article 
CAS 
PubMed 

Google Scholar 
Kikuchi, Y., Hosokawa, T. & Fukatsu, T. Insect-microbe mutualism without vertical transmission: A stinkbug acquires a beneficial gut symbiont from the environment every generation. Appl. Environ. Microbiol. 73, 4308–4316 (2007).Article 
CAS 
PubMed 
PubMed Central 

Google Scholar 
Kikuchi, Y., Hosokawa, T. & Fukatsu, T. An ancient but promiscuous host-symbiont association between Burkholderia gut symbionts and their heteropteran hosts. ISME J. 5, 446–460 (2011).Article 
PubMed 

Google Scholar 
Hu, Y. et al. Herbivorous turtle ants obtain essential nutrients from a conserved nitrogen-recycling gut microbiome. Nat. Commun. 9, 2440. https://doi.org/10.1038/s41467-018-03357-y (2018).Article 
CAS 
PubMed 
PubMed Central 

Google Scholar 
Salem, H. et al. Drastic genome reduction in an herbivore’s pectinolytic symbiont. Cell 171, 1520–1531 (2017).Article 
CAS 
PubMed 

Google Scholar 
Bennett, G. M. & Moran, N. A. Heritable symbiosis: The advantages and perils of an evolutionary rabbit hole. Proc. Natl. Acad. Sci. 112, 10169–10176 (2015).Article 
CAS 
PubMed 
PubMed Central 

Google Scholar 
Campbell, M. A. et al. Changes in endosymbiont complexity drive host-level compensatory adaptations in cicadas. MBio 9, e02104-18 (2018).Article 
PubMed 
PubMed Central 

Google Scholar 
Buchner, P. Symbiosis in animals which suck plant juices. In Endosymbiosis of Animals with Plant Microorganisms 210–432 (Interscience, 1965).
Google Scholar 
McCutcheon, J. P., McDonald, B. R. & Moran, N. A. Convergent evolution of metabolic roles in bacterial co-symbionts of insects. Proc. Natl. Acad. Sci. 106, 15394–15399 (2009).Article 
CAS 
PubMed 
PubMed Central 

Google Scholar 
Christensen, H. & Fogel, M. L. Feeding ecology and evidence for amino acid synthesis in the periodical cicada (Magicicada). J. Insect Physiol. 57, 211–219 (2011).Article 
CAS 
PubMed 

Google Scholar 
McCutcheon, J. P., McDonald, B. R. & Moran, N. A. Origin of an alternative genetic code in the extremely small and GC-rich genome of a bacterial symbiont. PLoS Genet. 5, e1000565 (2009).Article 
PubMed 
PubMed Central 

Google Scholar 
Campbell, M. A. et al. Genome expansion via lineage splitting and genome reduction in the cicada endosymbiont Hodgkinia. Proc. Natl. Acad. Sci. 112, 10192–10199 (2015).Article 
CAS 
PubMed 
PubMed Central 

Google Scholar 
Müller, H. J. Neuere vorstellungen über verbreitung und phylogenie der endosymbiosen der zikaden. Z. Morphol. Oekol. Tiere 61, 190–210 (1962).Article 

Google Scholar 
Müller, H. J. Zur systematik und phylogenie der zikaden-endosymbiosen. Biol. Zent. 68, 343–368 (1949).
Google Scholar 
Matsuura, Y. et al. Recurrent symbiont recruitment from fungal parasites in cicadas. Proc. Natl. Acad. Sci. 115, E5970–E5979 (2018).Article 
CAS 
PubMed 
PubMed Central 

Google Scholar 
Zhou, W. et al. Analysis of inter-individual bacterial variation in gut of cicada Meimuna mongolica (Hemiptera: Cicadidae). J. Insect Sci. 15, 1–6 (2015).Article 

Google Scholar 
Zheng, Z., Wang, D., He, H. & Wei, C. Bacterial diversity of bacteriomes and organs of reproductive, digestive and excretory systems in two cicada species (Hemiptera: Cicadidae). PLoS One 12, 1–21 (2017).
Google Scholar 
Wang, D., Huang, Z., He, H. & Wei, C. Comparative analysis of microbial communities associated with bacteriomes, reproductive organs and eggs of the cicada Subpsaltria yangi. Arch. Microbiol. 200, 227–235 (2018).Article 
CAS 
PubMed 

Google Scholar 
Dillon, R. J. & Dillon, V. M. The gut bacteria of insects: Nonpathogenic interactions. Annu. Rev. Entomol. 49, 71–92 (2004).Article 
CAS 
PubMed 

Google Scholar 
Ng, S. H., Stat, M., Bunce, M. & Simmons, L. W. The influence of diet and environment on the gut microbial community of field crickets. Ecol. Evol. 8, 4704–4720 (2018).Article 
PubMed 
PubMed Central 

Google Scholar 
Nishida, A. H. & Ochman, H. Rates of gut microbiome divergence in mammals. Mol. Ecol. 27, 1884–1897 (2018).Article 
PubMed 
PubMed Central 

Google Scholar 
Douglas, A. E. & Werren, J. H. Holes in the hologenome: Why host–microbe symbioses are not holobionts. MBio 7, e02099 (2016).Article 
CAS 
PubMed 
PubMed Central 

Google Scholar 
Grueneberg, J., Engelen, A. H., Costa, R. & Wichard, T. Macroalgal morphogenesis induced by waterborne compounds and bacteria in coastal seawater. PLoS One 11, e0146307 (2016).Article 
PubMed 
PubMed Central 

Google Scholar 
Lin, J. D., Lemay, M. A. & Parfrey, L. W. Diverse bacteria utilize alginate within the microbiome of the giant kelp Macrocystis pyrifera. Front. Microbiol. 9, 1914 (2018).Article 
PubMed 
PubMed Central 

Google Scholar 
Coon, K. L., Vogel, K. J., Brown, M. R. & Strand, M. R. Mosquitoes rely on their gut microbiota for development. Mol. Ecol. 23, 2727–2739 (2014).Article 
CAS 
PubMed 
PubMed Central 

Google Scholar 
Coon, K. L., Brown, M. R. & Strand, M. R. Mosquitoes host communities of bacteria that are essential for development but vary greatly between local habitats. Mol. Ecol. 25, 5806–5826 (2016).Article 
CAS 
PubMed 
PubMed Central 

Google Scholar 
Kwong, W. K. et al. Dynamic microbiome evolution in social bees. Sci. Adv. 3, 1–17 (2017).Article 

Google Scholar 
Brooks, A. W., Kohl, K. D., Brucker, R. M., van Opstal, E. J. & Bordenstein, S. R. Phylosymbiosis: Relationships and functional effects of microbial communities across host evolutionary history. PLoS Biol. 14, 1–29 (2016).Article 

Google Scholar 
Kropáčková, L. et al. Codiversification of gastrointestinal microbiota and phylogeny in passerines is not explained by ecological divergence. Mol. Ecol. 26, 5292–5304 (2017).Article 
PubMed 

Google Scholar 
Hird, S. M., Sánchez, C., Carstens, B. C. & Brumfield, R. Comparative gut microbiota of 59 neotropical bird species. Front. Microbiol. 6, 1403. https://doi.org/10.3389/fmicb.2015.01403 (2015).Article 
PubMed 
PubMed Central 

Google Scholar 
Hu, Y., Lukasik, P., Moreau, C. S. & Russell, J. A. Correlates of gut community composition across an ant species (Cephalotes varians) elucidate causes and consequences of symbiotic variability. Mol. Ecol. 23, 1284–1300 (2014).Article 
PubMed 

Google Scholar 
Hammer, T. J., Sanders, J. G. & Fierer, N. Not all animals need a microbiome. FEMS Microbiol. Lett. https://doi.org/10.1093/femsle/fnz117 (2019).Article 
PubMed 

Google Scholar 
Hammer, T. J., Janzen, D. H., Hallwachs, W., Jaffe, S. P. & Fierer, N. Caterpillars lack a resident gut microbiome. Proc. Natl. Acad. Sci. 114, 9641–9646 (2017).Article 
CAS 
PubMed 
PubMed Central 

Google Scholar 
Shapira, M. Gut microbiotas and host evolution: Scaling up symbiosis. Trends Ecol. Evol. 31, 539–549 (2016).Article 
PubMed 

Google Scholar 
Marshall, D. C. et al. Inflation of molecular clock rates and dates: Molecular phylogenetics, biogeography, and diversification of a global cicada radiation from Australasia (Hemiptera: Cicadidae: Cicadettini). Syst. Biol. 65, 16–34 (2016).Article 
PubMed 

Google Scholar 
Lane, D. H. The recognition concept of speciation applied in an analysis of putative hybridization in New Zealand cicadas of the genus Kikihia (Insects: Hemiptera: Tibicinidae). Speciation and the Recognition Concept: Theory and Application (The Johns Hopkins Univ Press, 1995).
Google Scholar 
Cooley, J. R. & Marshall, D. C. Sexual signaling in periodical cicadas, Magicicada spp. (Hemiptera: Cicadidae). Behaviour 138, 827–855 (2001).Article 

Google Scholar 
Fleming, C. A. Adaptive Radiation in New Zealand Cicadas (American Philosophical Society, 1975).
Google Scholar 
Dugdale, J. S. & Fleming, C. A. New Zealand cicadas of the genus Maoricicada (Homoptera: Tibicinidae). N. Z. J. Zool. 5, 295–340 (1978).Article 

Google Scholar 
Marshall, D. C., Hill, K. B. R., Cooley, J. R. & Simon, C. Hybridization, mitochondrial DNA phylogeography, and prediction of the early stages of reproductive isolation: Lessons from New Zealand cicadas (genus Kikihia). Syst. Biol. 60, 482–502 (2011).Article 
PubMed 

Google Scholar 
Bolyen, E. et al. QIIME 2: Reproducible, interactive, scalable, and extensible microbiome data science. Report No.: e27295v2. PeerJ https://doi.org/10.7287/peerj.preprints.27295v2 (2018).Article 

Google Scholar 
Callahan, B. J. et al. DADA2: High-resolution sample inference from Illumina amplicon data. Nat. Methods 13, 581–583 (2016).Article 
CAS 
PubMed 
PubMed Central 

Google Scholar 
Katoh, K. & Standley, D. M. MAFFT multiple sequence alignment software version 7: Improvements in performance and usability. Mol. Biol. Evol. 30, 772–780 (2013).Article 
CAS 
PubMed 
PubMed Central 

Google Scholar 
McMurdie, P. J. & Holmes, S. phyloseq: An R package for reproducible interactive analysis and graphics of microbiome census data. PLoS One 8, e61217 (2013).Article 
CAS 
PubMed 
PubMed Central 

Google Scholar 
Davis, N. M., Proctor, D., Holmes, S. P., Relman, D. A. & Callahan, B. J. Simple statistical identification and removal of contaminant sequences in marker-gene and metagenomics data. Microbiome 6, 226. https://doi.org/10.1101/221499 (2018).Article 
CAS 
PubMed 
PubMed Central 

Google Scholar 
Lemmon, A. R., Emme, S. A. & Lemmon, E. M. Anchored hybrid enrichment for massively high-throughput phylogenomics. Syst. Biol. 61, 727–744 (2012).Article 
CAS 
PubMed 

Google Scholar 
Simon, C. et al. Off-target capture data, endosymbiont genes and morphology reveal a relict lineage that is sister to all other singing cicadas. Biol. J. Linn. Soc. Lond. https://doi.org/10.1093/biolinnean/blz120 (2019).Article 

Google Scholar 
Owen, C. L. et al. Detecting and removing sample contamination in phylogenomic data: An example and its implications for Cicadidae phylogeny (Insecta: Hemiptera). Syst. Biol. 71, 1504–1523 (2022).Article 
PubMed 

Google Scholar 
Bushnell, B. BBMap: A Fast, Accurate, Splice-Aware Aligner. Report No.: LBNL-7065E. https://www.osti.gov/biblio/1241166-bbmap-fast-accurate-splice-aware-aligner (Lawrence Berkeley National Lab. (LBNL), 2014).Bolger, A. M., Lohse, M. & Usadel, B. Trimmomatic: A flexible trimmer for Illumina sequence data. Bioinformatics 30, 2114–2120 (2014).Article 
CAS 
PubMed 
PubMed Central 

Google Scholar 
Bankevich, A. et al. SPAdes: A new genome assembly algorithm and its applications to single-cell sequencing. J. Comput. Biol. 19, 455–477 (2012).Article 
MathSciNet 
CAS 
PubMed 
PubMed Central 

Google Scholar 
Nurk, S. et al. Assembling genomes and mini-metagenomes from highly chimeric reads. In Research in Computational Molecular Biology 158–170 (Springer, 2013).Chapter 

Google Scholar 
Łukasik, P. et al. One hundred mitochondrial genomes of cicadas. J. Hered. 110, 247–256 (2019).Article 
PubMed 

Google Scholar 
Li, H. & Durbin, R. Fast and accurate short read alignment with Burrows–Wheeler transform. Bioinformatics 25, 1754–1760 (2009).Article 
CAS 
PubMed 
PubMed Central 

Google Scholar 
Katoh, K., Rozewicki, J. & Yamada, K. D. MAFFT online service: Multiple sequence alignment, interactive sequence choice and visualization. Brief. Bioinform. https://doi.org/10.1093/bib/bbx108 (2017).Article 
PubMed Central 

Google Scholar 
Kearse, M. et al. Geneious Basic: An integrated and extendable desktop software platform for the organization and analysis of sequence data. Bioinformatics 28, 1647–1649 (2012).Article 
PubMed 
PubMed Central 

Google Scholar 
Hahn, C., Bachmann, L. & Chevreux, B. Reconstructing mitochondrial genomes directly from genomic next-generation sequencing reads—A baiting and iterative mapping approach. Nucleic Acids Res. 41, e129 (2013).Article 
CAS 
PubMed 
PubMed Central 

Google Scholar 
Stamatakis, A. RAxML version 8: A tool for phylogenetic analysis and post-analysis of large phylogenies. Bioinformatics 30, 1312–1313 (2014).Article 
CAS 
PubMed 
PubMed Central 

Google Scholar 
Miller, M. A., Pfeiffer, W., Schwartz, T. Creating the CIPRES Science Gateway for inference of large phylogenetic trees. 2010 Gateway Computing Environments Workshop (GCE) 1–8 (2010).Buckley, T. R., Cordeiro, M., Marshall, D. C. & Simon, C. Differentiating between hypotheses of lineage sorting and introgression in New Zealand alpine cicadas (Maoricicada Dugdale). Syst. Biol. 55, 411–425 (2006).Article 
PubMed 

Google Scholar 
Marshall, D. C., Slon, K., Cooley, J. R., Hill, K. B. R. & Simon, C. Steady Plio-Pleistocene diversification and a 2-million-year sympatry threshold in a New Zealand cicada radiation. Mol. Phylogenet. Evol. 48, 1054–1066 (2008).Article 
PubMed 

Google Scholar 
Bator, J., Marshall, D. C., Leston, A., Cooley, J. & Simon, C. Phylogeography of the endemic red-tailed cicadas of New Zealand (Hemiptera: Cicadidae: Rhodopsalta): Molecular, morphological and bioacoustical confirmation of the existence of Hudson’s Rhodopsalta microdora. Zool. J. Linn. Soc. 195, 1219–1244 (2022).Article 

Google Scholar 
Brumfield, K. D. et al. Gut microbiome insights from 16S rRNA analysis of 17-year periodical cicadas (Hemiptera: Magicicada spp.) Broods II, VI, and X. Sci. Rep. 12, 16967. https://doi.org/10.1038/s41598-022-20527-7 (2022).Article 
CAS 
PubMed 
PubMed Central 

Google Scholar 
Rakitov, R. A. Structure and function of the Malpighian tubules, and related behaviors in juvenile cicadas: Evidence of homology with spittlebugs (Hemiptera: Cicadoidea & Cercopoidea). Zool. Anz. 241, 117–130 (2002).Article 

Google Scholar 
Andersen, P. C., Brodbeck, B. V. & Mizell, R. F. Feeding by the leafhopper, Homalodisca coagulata, in relation to xylem fluid chemistry and tension. J. Insect Physiol. 38, 611–622 (1992).Article 
CAS 

Google Scholar 
Cheung, W. W. K. & Marshall, A. T. Water and ion regulation in cicadas in relation to xylem feeding. J. Insect Physiol. 19, 1801–1816 (1973).Article 
CAS 

Google Scholar 
Williams, K. S. & Simon, C. The ecology, behavior, and evolution of periodical cicadas. Annu. Rev. Entomol. 40, 269–295 (1995).Article 
CAS 

Google Scholar 
Logan, D. P., Rowe, C. A. & Maher, B. J. Life history of chorus cicada, an endemic pest of kiwifruit (Cicadidae: Homoptera). N. Z. Entomol. 37, 96–106 (2014).Article 

Google Scholar 
Buckley, T. R. & Simon, C. Evolutionary radiation of the cicada genus Maoricicada Dugdale (Hemiptera: Cicadoidea) and the origins of the New Zealand alpine biota. Biol. J. Linn. Soc. Lond. 91, 419–435 (2007).Article 

Google Scholar 
Banker, S. E., Wade, E. J. & Simon, C. The confounding effects of hybridization on phylogenetic estimation in the New Zealand cicada genus Kikihia. Mol. Phylogenet. Evol. 116, 172–181 (2017).Article 
PubMed 

Google Scholar 
Groussin, M. et al. Unraveling the processes shaping mammalian gut microbiomes over evolutionary time. Nat. Commun. 8, 14319 (2017).Article 
CAS 
PubMed 
PubMed Central 

Google Scholar 
Sanders, J. G. et al. Stability and phylogenetic correlation in gut microbiota: Lessons from ants and apes. Mol. Ecol. 23, 1268–1283 (2014).Article 
PubMed 

Google Scholar 
Wang, J. et al. Analysis of intestinal microbiota in hybrid house mice reveals evolutionary divergence in a vertebrate hologenome. Nat. Commun. 6, 6440 (2015).Article 
CAS 
PubMed 

Google Scholar 
Brucker, R. M. & Bordenstein, S. R. The hologenomic basis of speciation. Science 466, 667–669 (2013).Article 

Google Scholar 
Chandler, J. A. & Turelli, M. Comment on “The hologenomic basis of speciation: Gut bacteria cause hybrid lethality in the genus Nasonia”. Science 345, 1011 (2014).Article 
CAS 
PubMed 
PubMed Central 

Google Scholar 
Li, Z. et al. Changes in the rumen microbiome and metabolites reveal the effect of host genetics on hybrid crosses. Environ. Microbiol. Rep. 8, 1016–1023 (2016).Article 
CAS 
PubMed 

Google Scholar 
Weintraub, P. G. & Beanland, L. Insect vectors of phytoplasmas. Annu. Rev. Entomol. 51, 91–111 (2006).Article 
CAS 
PubMed 

Google Scholar 
Hopkins, D. L. Xylella fastidiosa: Xylem-limited bacterial pathogen of plants. Annu. Rev. Phytopathol. 27, 271–290 (1989).Article 

Google Scholar 
Karban, R. Why cicadas (Hemiptera: Cicadidae) develop so slowly. Biol. J. Linn. Soc. Lond. 135, 291–298 (2021).Article 

Google Scholar 
Krell, R. K., Boyd, E. A., Nay, J. E., Park, Y.-L. & Perring, T. M. Mechanical and insect transmission of Xylella fastidiosa to Vitis vinifera. Am. J. Enol. Vitic. 58, 211–216 (2007).Article 
CAS 

Google Scholar 
Paião, F., Meneguim, A. M., Casagrande, E. C., Lovato, L. & Leite, R. P. Levantamento de espécies de cigarras e transmissão de Xylella fastidiosa em cafeeiro. http://www.sbicafe.ufv.br/handle/123456789/1457 (2003).Elbeaino, T. et al. Identification of three potential insect vectors of Xylella fastidiosa in southern Italy. Phytopathol. Mediterr. 53, 328–332 (2014).
Google Scholar  More